diff --git a/.env.example b/.env.example index c0fbcc7..86600da 100644 --- a/.env.example +++ b/.env.example @@ -1,7 +1,25 @@ -# Polymarket Authentication -PK=your_private_key_here -BROWSER_ADDRESS=your_wallet_address_here +# polymaker secrets. Copy to .env and fill in. NEVER commit .env. +# +# IMPORTANT: use the SAME wallet you use in the Polymarket browser UI, and make +# sure it has traded at least once through the UI so allowances are set. -# Google Sheets (for data_updater) -SPREADSHEET_URL=https://docs.google.com/spreadsheets/d/1Kt6yGY7CZpB75cLJJAdWo7LSp9Oz7pjqfuVWwgtn7Ns/edit?gid=97507557#gid=97507557 -#replace with YOUR url +# Private key of the signing wallet (EOA that controls the funder). +PK= + +# The funder = the smart-contract wallet that actually holds your pUSD and +# positions (NOT your signing EOA/MetaMask address above). Polymarket's UI labels +# this inconsistently (may show as "deposit" or "developer" address) — the one +# that holds the funds is the funder. `polymaker doctor` reads the balance so you +# can confirm you picked the right one. Set signature_type in config/config.toml +# to match how the account was made (new deposit wallets = 3). +BROWSER_ADDRESS= + +# Optional: override the default public Polygon RPC with your own (Alchemy/Infura). +# POLYGON_RPC= + +# Optional: webhook (Discord/Telegram/ntfy) POST URL for critical alerts. +# ALERT_WEBHOOK_URL= + +# Optional: route outbound traffic through an SSH tunnel / proxy, e.g. to test +# from a colocated box. Standard env var; httpx and web3 pick it up automatically. +# ALL_PROXY=socks5://127.0.0.1:1080 diff --git a/.gitignore b/.gitignore index f095dae..a09f149 100644 --- a/.gitignore +++ b/.gitignore @@ -467,3 +467,13 @@ cython_debug/ # and can be added to the global gitignore or merged into this file. For a more nuclear # option (not recommended) you can uncomment the following to ignore the entire idea folder. #.idea/ + +# polymaker v2 +.venv/ +state.db +state.db-* +journal/ +logs/ +positions/ +data/ +*.whl diff --git a/.python-version b/.python-version index 43077b2..e4fba21 100644 --- a/.python-version +++ b/.python-version @@ -1 +1 @@ -3.9.18 +3.12 diff --git a/README.md b/README.md index 8eee900..d970505 100644 --- a/README.md +++ b/README.md @@ -1,159 +1,163 @@ -# Poly-Maker +# poly-maker -A market making bot for Polymarket prediction markets. This bot automates the process of providing liquidity to markets on Polymarket by maintaining orders on both sides of the book with configurable parameters. A summary of my experience running this bot is available [here](https://x.com/defiance_cr/status/1906774862254800934) +A maker-only market-making bot for **Polymarket CLOB V2**, focused on political +markets. Single async process, local-file config (no Google Sheets), typed and +tested. -## Overview - -Poly-Maker is a comprehensive solution for automated market making on Polymarket. It includes: - -- Real-time order book monitoring via WebSockets -- Position management with risk controls -- Customizable trade parameters fetched from Google Sheets -- Automated position merging functionality -- Sophisticated spread and price management - -## Structure - -The repository consists of several interconnected modules: - -- `poly_data`: Core data management and market making logic -- `poly_merger`: Utility for merging positions (based on open-source Polymarket code) -- `poly_stats`: Account statistics tracking -- `poly_utils`: Shared utility functions -- `data_updater`: Separate module for collecting market information - -## Requirements - -- Python 3.9.10 or higher -- Node.js (for poly_merger) -- Google Sheets API credentials -- Polymarket account and API credentials - -## Installation - -This project uses UV for fast, reliable package management. - -### Install UV - -```bash -# macOS/Linux -curl -LsSf https://astral.sh/uv/install.sh | sh - -# Windows -powershell -c "irm https://astral.sh/uv/install.ps1 | iex" - -# Or with pip -pip install uv -``` - -### Install Dependencies - -```bash -# Install all dependencies -uv sync - -# Install with development dependencies (black, pytest) -uv sync --extra dev -``` - -### Quick Start - -```bash -# Run the market maker (recommended) -uv run python main.py - -# Update market data -uv run python update_markets.py - -# Update statistics -uv run python update_stats.py -``` - -### Setup Steps - -#### 1. Clone the repository - -```bash -git clone https://github.com/yourusername/poly-maker.git -cd poly-maker -``` - -#### 2. Install Python dependencies - -```bash -uv sync -``` - -#### 3. Install Node.js dependencies for the merger - -```bash -cd poly_merger -npm install -cd .. -``` - -#### 4. Set up environment variables - -```bash -cp .env.example .env -``` - -#### 5. Configure your credentials in `.env` - -Edit the `.env` file with your credentials: -- `PK`: Your private key for Polymarket -- `BROWSER_ADDRESS`: Your wallet address - -**Important:** Make sure your wallet has done at least one trade through the UI so that the permissions are proper. - -#### 6. Set up Google Sheets integration - -- Create a Google Service Account and download credentials to the main directory -- Copy the [sample Google Sheet](https://docs.google.com/spreadsheets/d/1Kt6yGY7CZpB75cLJJAdWo7LSp9Oz7pjqfuVWwgtn7Ns/edit?gid=1884499063#gid=1884499063) -- Add your Google service account to the sheet with edit permissions -- Update `SPREADSHEET_URL` in your `.env` file - -#### 7. Update market data - -Run the market data updater to fetch all available markets: - -```bash -uv run python update_markets.py -``` - -This should run continuously in the background (preferably on a different IP than your trading bot). - -- Add markets you want to trade to the "Selected Markets" sheet -- Select markets from the "Volatility Markets" sheet -- Configure parameters in the "Hyperparameters" sheet (default parameters that worked well in November are included) - -#### 8. Start the market making bot - -```bash -uv run python main.py -``` > [!WARNING] -> In today's market, this bot is not profitable and will lose money. Use it as a reference implementation for building your own market making strategies, not as a ready-to-deploy solution. Given the increased competition on Polymarket, I don't see a point in playing with this unless you're willing to dedicate a significant amount of time. +> Market making on Polymarket is competitive and can lose money. This is a +> reference implementation and a research harness, not a guaranteed-profitable +> product. Test in `--paper` mode first; go live with small size. - -## Configuration +## What it does -The bot is configured via a Google Spreadsheet with several worksheets: +- Discovers political markets via the **Gamma API** (seconds) and ranks them by + reward + rebate income vs. volatility/spread risk. +- Maintains a live order book per token from the **market WebSocket**. +- Quotes **maker-only** — every order is post-only. Fair-value + inventory-skew + strategy that posts BUY-YES and BUY-NO as a two-sided quote, with live + volatility/toxicity estimation and a regime machine that pulls quotes during + news events (see [Strategy](#strategy)). +- Reconciles a target quote set against live orders with churn tolerances; runs + the exchange **heartbeat** dead-man switch; enforces risk caps and a daily-loss + kill switch. +- Config, market selection, and state are **local files + SQLite**. An operator + with the repo, a `.env`, and a funded wallet is a complete deployment. -- **Selected Markets**: Markets you want to trade -- **All Markets**: Database of all markets on Polymarket -- **Hyperparameters**: Configuration parameters for the trading logic +## Install +Uses [uv](https://docs.astral.sh/uv/) and Python 3.12+. -## Poly Merger +```bash +uv sync --extra dev # install deps + dev tools +uv run polymaker --help +``` -The `poly_merger` module is a particularly powerful utility that handles position merging on Polymarket. It's built on open-source Polymarket code and provides a smooth way to consolidate positions, reducing gas fees and improving capital efficiency. +## Configure -## Important Notes +```bash +cp .env.example .env # then edit: PK + BROWSER_ADDRESS +``` -- This code interacts with real markets and can potentially lose real money -- Test thoroughly with small amounts before deploying with significant capital -- The `data_updater` is technically a separate repository but is included here for convenience +### Which wallet address? + +Polymarket's current **deposit-wallet** architecture shows several addresses in +the UI, and the labels are inconsistent. What matters: + +- **`BROWSER_ADDRESS` = the funder** — the *smart-contract wallet that actually + holds your pUSD and positions*. Depending on the account it may be shown as the + "deposit" or "developer" address; the reliable test is which one holds the + money. `polymaker doctor` reads the balance so you can confirm. +- **`PK` = the private key of your signer** — the EOA (e.g. your MetaMask account) + that *owns/controls* that wallet. This is a **different** address than the + funder, and that's correct: your key signs on behalf of the wallet that holds + the funds. (A "deployer" / factory address, if shown, is Polymarket's shared + contract — ignore it.) + +Set `signature_type` in `config/config.toml` to match how the account was made: +`3` = POLY_1271 deposit wallet (current default), `2` = older browser-wallet +Gnosis Safe, `1` = email/magic proxy, `0` = plain EOA. A wrong type fails loudly +(`polymaker doctor` / `livetest` report it). Approvals must have been granted +from the funding wallet — trading once in the UI does this. + +Everything else is TOML under [`config/`](config/): + +- `config.toml` — wallet/engine/risk/execution settings +- `strategy.toml` — named parameter profiles (`political-longdated`, `political-hot`) +- `markets.toml` — the trade list (populated via the CLI below) + +## Use + +```bash +# 1. discover + rank political markets (writes to state.db) +uv run polymaker scan +uv run polymaker markets + +# 2. add markets to the trade list +uv run polymaker markets-add --profile political-longdated + +# 3. dry run: full pipeline against the live feed, no orders posted +uv run polymaker run --paper + +# 4. preflight the wallet before going live +uv run polymaker doctor + +# 5. one safe live round-trip (~$5 post-only order, placed deep and cancelled) +uv run polymaker livetest + +# 6. go live +uv run polymaker run + +# ops +uv run polymaker status # positions / open orders +uv run polymaker cancel-all # panic button +``` + +## Architecture + +``` +market WS ─▶ OrderBook ─▶ (wake) ─▶ Quoter ─▶ strategy (pure) ─▶ reconcile ─▶ ExecutionGateway +user WS ─▶ StateStore RiskManager ┘ (post-only, heartbeat) +Gamma ─▶ Catalog/scanner ─▶ SQLite periodic REST reconcile ┘ +``` + +One async event loop. The strategy layer is a pure function `(book, inventory, +params, clock) → TargetQuotes` — deterministic and unit-tested. The engine owns +all I/O and state around it; the `ExecutionGateway` wraps `py-clob-client-v2` +(which handles the V2 EIP-712 signing) and offloads its blocking calls to a +thread pool so the hot path never stalls. State (positions, orders, PnL, catalog) +lives in one SQLite file; raw WS/order events are journaled to `journal/` for +replay. + +## Strategy + +Maker-only, quoting both sides of each market as USDC-collateralized bids: + +- **Fair value** — depth-weighted microprice off the live book, nudged by an + EWMA of signed trade flow. +- **Quote construction** — reservation price `r = FV − skew(inventory)`; + half-spread `δ = base + c_vol·σ + c_tox·toxicity`. Post **BUY-YES at `r − δ`** + and **BUY-NO at `(1 − r) − δ`**. Because both legs are bids that sum below 1, + a filled pair merges back to USDC at locked edge `1 − p − q` — a maker-only + exit that never crosses the spread. +- **Inventory skew** — net position leans both quotes: long YES → bid YES lower, + bid NO higher (acquire the offsetting leg). Size tapers as inventory approaches + a soft cap, then the adding side is pulled entirely. +- **Volatility / toxicity** — realized-vol and per-fill markout (adverse + selection) EWMAs widen the spread and shrink size in markets that pick us off. +- **Regime machine** — per market: `QUIET` (farm rewards in-band), `TRENDING` + (lean + widen + half size), `EVENT` (sweep/jump detected → pull quotes, cool + off), `REDUCE_ONLY` (inventory cap / near end date → exits only), `HALTED` + (stale data / resolved / kill switch → cancel all). +- **Rewards + rebates** — quotes stay inside the liquidity-rewards band in QUIET; + the market selector also scores the new maker-rebate program (a share of taker + fees rebated to makers). +- **Risk** — per-market notional cap, neg-risk event-group worst-case cap, total + exposure cap, daily-loss kill switch, WS-staleness halt. + +Tune it all via profiles in `config/strategy.toml`. + +## Develop + +```bash +uv run pytest # unit suite (offline) +POLYMAKER_LIVE=1 uv run pytest tests/test_live_marketdata.py # live WS integration +uv run ruff check src tests # lint +uv run mypy src # types (strict) +``` + +## Status + +Implemented and live-verified end to end (auth → book → strategy → sign → post → +cancel): config, catalog/scanner, order book + analytics, strategy (FV, +vol/toxicity, regime, quoting), state store + lifecycle, execution gateway + +reconciler + heartbeat, market/user websockets, risk manager, merger (EOA path), +engine, CLI, paper mode, journal capture. 83 tests; ruff + mypy strict clean. + +Not yet built: a replay backtester over the captured journals, and external data +feeds (polls / news / cross-venue). Merging through a Safe/proxy wallet routes a +tx via the relayer and isn't wired yet — until then inventory exits via limit +sells rather than merging. ## License diff --git a/config/config.toml b/config/config.toml new file mode 100644 index 0000000..431bb9b --- /dev/null +++ b/config/config.toml @@ -0,0 +1,48 @@ +# polymaker global config. Secrets live in .env, never here. +# See the README. + +[wallet] +# chain: Polygon mainnet +chain_id = 137 +# signature_type — pick based on how your Polymarket account was created: +# 0 = EOA (funds held directly by your key; no proxy) +# 1 = email/magic proxy wallet +# 2 = older browser-wallet Gnosis Safe proxy +# 3 = POLY_1271 deposit wallet (the CURRENT architecture, ~June 2026+) +# If your UI shows a "deposit address", you almost certainly have a deposit +# wallet -> use 3. In every proxy case (1/2/3), BROWSER_ADDRESS is the DEPOSIT +# address (the funder that holds your pUSD), NOT your signing EOA and NOT the +# deployer/factory. Known SDK auth bugs live here (see the README) — `polymaker +# doctor` / `livetest` will tell you if you picked the wrong type. +signature_type = 3 +clob_host = "https://clob.polymarket.com" +gamma_host = "https://gamma-api.polymarket.com" +data_api_host = "https://data-api.polymarket.com" +polygon_rpc = "https://polygon-rpc.com" + +[engine] +debounce_ms = 200 # min gap between quote recomputes per market +reconcile_interval_s = 30 # REST drift reconciliation cadence +catalog_refresh_s = 900 # market catalog rescan cadence (15 min) +heartbeat = true # exchange dead-man switch +heartbeat_interval_s = 5 +journal = true # append raw WS/orders to journal/ for backtest +loop = "uvloop" # "uvloop" | "asyncio" + +[risk] +max_total_exposure_usdc = 5000.0 # sum of |position notional| + open buy notional +max_event_group_loss_usdc = 1000.0 # neg-risk group worst-case loss cap +max_market_notional_usdc = 800.0 # per-market position+orders notional cap +daily_loss_kill_usdc = 250.0 # realized daily loss -> halt new quotes +ws_stale_halt_s = 10.0 # no book updates for this long -> halt market +max_order_error_rate = 0.25 # rolling order-post error fraction -> halt + +[execution] +rate_budget_fraction = 0.25 # fraction of documented API limits we allow +post_only = true # every quote is post-only (maker-only mandate) +max_orders_per_batch = 15 # exchange batch cap + +[paths] +db = "state.db" +journal_dir = "journal" +log_dir = "logs" diff --git a/config/markets.toml b/config/markets.toml new file mode 100644 index 0000000..5500664 --- /dev/null +++ b/config/markets.toml @@ -0,0 +1,11 @@ +# The trade list (replaces the v1 Selected Markets sheet). +# Each entry names a market by slug OR condition_id and a strategy profile. +# `polymaker markets add ` appends here; edit freely, hot-reloaded live. +# Start empty — populate with `polymaker scan` then `polymaker markets`. + +# Example (disabled) entry: +# [[markets]] +# slug = "will-the-democrats-win-the-2028-us-presidential-election" +# profile = "political-longdated" +# enabled = false +# q_max_usdc = 800 # optional per-market override of the profile value diff --git a/config/strategy.toml b/config/strategy.toml new file mode 100644 index 0000000..eefe25c --- /dev/null +++ b/config/strategy.toml @@ -0,0 +1,66 @@ +# Named strategy parameter profiles (replaces the v1 Hyperparameters sheet). +# markets.toml maps each market to one of these profiles. +# See the README. + +[profiles.political-longdated] +# --- fair value --- +micro_levels = 3 # depth levels used for microprice +flow_ewma_halflife_s = 120 # signed-flow EWMA half-life +# --- spread / skew --- +gamma = 0.5 # inventory risk aversion (skew strength) +delta_min_ticks = 2 # minimum half-spread, in ticks +c_vol = 1.2 # half-spread added per unit short-horizon vol +c_tox = 2.0 # half-spread added per unit toxicity score +# --- vol horizons (seconds) --- +vol_short_halflife_s = 10 +vol_long_halflife_s = 900 +# --- sizing / inventory --- +base_size_usdc = 50.0 # notional per quote +q_max_usdc = 500.0 # hard inventory cap (notional) +q_soft_frac = 0.6 # soft cap as fraction of q_max +layers = 2 # price levels per side +layer_step_ticks = 2 # tick gap between layers +# --- placement / churn --- +reprice_ticks = 2 # only reprice if target moves this many ticks +resize_frac = 0.15 # or if size drifts this fraction +min_edge_ticks = 1 # never quote inside (FV +/- this) * tick +# --- regime --- +event_cooloff_s = 60 +event_jump_ticks = 8 # FV jump over debounce that flags EVENT +event_sweep_levels = 3 # levels consumed in one print that flags EVENT +trend_flow_z = 1.5 # flow z-score that flags TRENDING +# --- lifecycle --- +end_date_taper_days = 7 +reduce_only_hours = 24 +halt_before_hours = 2 +# --- exits --- +exit_urgency_s = 900 # time to walk exit from FV+delta to best-bid+tick +merge_min_size = 20.0 # min(YES,NO) shares to trigger a merge + +[profiles.political-hot] +# tighter, defensive profile for high-volatility / event-prone markets +micro_levels = 3 +flow_ewma_halflife_s = 60 +gamma = 0.9 +delta_min_ticks = 3 +c_vol = 1.8 +c_tox = 3.0 +vol_short_halflife_s = 8 +vol_long_halflife_s = 600 +base_size_usdc = 30.0 +q_max_usdc = 250.0 +q_soft_frac = 0.5 +layers = 2 +layer_step_ticks = 3 +reprice_ticks = 2 +resize_frac = 0.15 +min_edge_ticks = 1 +event_cooloff_s = 120 +event_jump_ticks = 6 +event_sweep_levels = 2 +trend_flow_z = 1.2 +end_date_taper_days = 7 +reduce_only_hours = 24 +halt_before_hours = 2 +exit_urgency_s = 600 +merge_min_size = 20.0 diff --git a/data_updater/erc20ABI.json b/data_updater/erc20ABI.json deleted file mode 100644 index 37f31f9..0000000 --- a/data_updater/erc20ABI.json +++ /dev/null @@ -1,279 +0,0 @@ -[ - { - "constant": true, - "inputs": [], - "name": "name", - "outputs": [ - { - "name": "", - "type": "string" - } - ], - "payable": false, - "stateMutability": "view", - "type": "function" - }, - { - "constant": false, - "inputs": [ - { - "name": "guy", - "type": "address" - }, - { - "name": "wad", - "type": "uint256" - } - ], - "name": "approve", - "outputs": [ - { - "name": "", - "type": "bool" - } - ], - "payable": false, - "stateMutability": "nonpayable", - "type": "function" - }, - { - "constant": true, - "inputs": [], - "name": "totalSupply", - "outputs": [ - { - "name": "", - "type": "uint256" - } - ], - "payable": false, - "stateMutability": "view", - "type": "function" - }, - { - "constant": false, - "inputs": [ - { - "name": "src", - "type": "address" - }, - { - "name": "dst", - "type": "address" - }, - { - "name": "wad", - "type": "uint256" - } - ], - "name": "transferFrom", - "outputs": [ - { - "name": "", - "type": "bool" - } - ], - "payable": false, - "stateMutability": "nonpayable", - "type": "function" - }, - { - "constant": false, - "inputs": [ - { - "name": "wad", - "type": "uint256" - } - ], - "name": "withdraw", - "outputs": [], - "payable": false, - "stateMutability": "nonpayable", - "type": "function" - }, - { - "constant": true, - "inputs": [], - "name": "decimals", - "outputs": [ - { - "name": "", - "type": "uint8" - } - ], - "payable": false, - "stateMutability": "view", - "type": "function" - }, - { - "constant": true, - "inputs": [ - { - "name": "", - "type": "address" - } - ], - "name": "balanceOf", - "outputs": [ - { - "name": "", - "type": "uint256" - } - ], - "payable": false, - "stateMutability": "view", - "type": "function" - }, - { - "constant": true, - "inputs": [], - "name": "symbol", - "outputs": [ - { - "name": "", - "type": "string" - } - ], - "payable": false, - "stateMutability": "view", - "type": "function" - }, - { - "constant": false, - "inputs": [ - { - "name": "dst", - "type": "address" - }, - { - "name": "wad", - "type": "uint256" - } - ], - "name": "transfer", - "outputs": [ - { - "name": "", - "type": "bool" - } - ], - "payable": false, - "stateMutability": "nonpayable", - "type": "function" - }, - { - "constant": false, - "inputs": [], - "name": "deposit", - "outputs": [], - "payable": true, - "stateMutability": "payable", - "type": "function" - }, - { - "constant": true, - "inputs": [ - { - "name": "", - "type": "address" - }, - { - "name": "", - "type": "address" - } - ], - "name": "allowance", - "outputs": [ - { - "name": "", - "type": "uint256" - } - ], - "payable": false, - "stateMutability": "view", - "type": "function" - }, - { - "payable": true, - "stateMutability": "payable", - "type": "fallback" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "name": "src", - "type": "address" - }, - { - "indexed": true, - "name": "guy", - "type": "address" - }, - { - "indexed": false, - "name": "wad", - "type": "uint256" - } - ], - "name": "Approval", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "name": "src", - "type": "address" - }, - { - "indexed": true, - "name": "dst", - "type": "address" - }, - { - "indexed": false, - "name": "wad", - "type": "uint256" - } - ], - "name": "Transfer", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "name": "dst", - "type": "address" - }, - { - "indexed": false, - "name": "wad", - "type": "uint256" - } - ], - "name": "Deposit", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "name": "src", - "type": "address" - }, - { - "indexed": false, - "name": "wad", - "type": "uint256" - } - ], - "name": "Withdrawal", - "type": "event" - } -] \ No newline at end of file diff --git a/data_updater/find_markets.py b/data_updater/find_markets.py deleted file mode 100644 index a1e71f3..0000000 --- a/data_updater/find_markets.py +++ /dev/null @@ -1,338 +0,0 @@ -import pandas as pd -import numpy as np -import os -import requests -import time -import warnings -warnings.filterwarnings("ignore") - - -if not os.path.exists('data'): - os.makedirs('data') - -def get_sel_df(spreadsheet, sheet_name='Selected Markets'): - try: - wk2 = spreadsheet.worksheet(sheet_name) - sel_df = pd.DataFrame(wk2.get_all_records()) - sel_df = sel_df[sel_df['question'] != ""].reset_index(drop=True) - return sel_df - except: - return pd.DataFrame() - -def get_all_markets(client): - cursor = "" - all_markets = [] - - while True: - try: - markets = client.get_sampling_markets(next_cursor = cursor) - markets_df = pd.DataFrame(markets['data']) - - - cursor = markets['next_cursor'] - - - - all_markets.append(markets_df) - - if cursor is None: - break - except: - break - - all_df = pd.concat(all_markets) - all_df = all_df.reset_index(drop=True) - - return all_df - -def get_bid_ask_range(ret, TICK_SIZE): - bid_from = ret['midpoint'] - ret['max_spread'] / 100 - bid_to = ret['best_ask'] #Although bid to this high up will change bid_from because of changing midpoint, take optimistic approach - - if bid_to == 0: - bid_to = ret['midpoint'] - - if bid_to - TICK_SIZE > ret['midpoint']: - bid_to = ret['best_bid'] + (TICK_SIZE + 0.1 * TICK_SIZE) - - if bid_from > bid_to: - bid_from = bid_to - (TICK_SIZE + 0.1 * TICK_SIZE) - - ask_to = ret['midpoint'] + ret['max_spread'] / 100 - ask_from = ret['best_bid'] - - if ask_from == 0: - ask_from = ret['midpoint'] - - if ask_from + TICK_SIZE < ret['midpoint']: - ask_from = ret['best_ask'] - (TICK_SIZE + 0.1 * TICK_SIZE) - - if ask_from > ask_to: - ask_to = ask_from + (TICK_SIZE + 0.1 * TICK_SIZE) - - bid_from = round(bid_from, 3) - bid_to = round(bid_to, 3) - ask_from = round(ask_from, 3) - ask_to = round(ask_to, 3) - - if bid_from < 0: - bid_from = 0 - - if ask_from < 0: - ask_from = 0 - - return bid_from, bid_to, ask_from, ask_to - - -def generate_numbers(start, end, TICK_SIZE): - # Calculate the starting point, rounding up to the next hundredth if not an exact multiple of TICK_SIZE - rounded_start = (int(start * 100) + 1) / 100 if start * 100 % 1 != 0 else start + TICK_SIZE - - # Calculate the ending point, rounding down to the nearest hundredth - rounded_end = int(end * 100) / 100 - - # Generate numbers from rounded_start to rounded_end, ensuring they fall strictly within the original bounds - numbers = [] - current = rounded_start - while current < end: - numbers.append(current) - current += TICK_SIZE - current = round(current, len(str(TICK_SIZE).split('.')[1])) # Rounding to avoid floating point imprecision - - return numbers - -def add_formula_params(curr_df, midpoint, v, daily_reward): - curr_df['s'] = (curr_df['price'] - midpoint).abs() - curr_df['S'] = ((v - curr_df['s']) / v) ** 2 - curr_df['100'] = 1/curr_df['price'] * 100 - - curr_df['size'] = curr_df['size'] + curr_df['100'] - - curr_df['Q'] = curr_df['S'] * curr_df['size'] - curr_df['reward_per_100'] = (curr_df['Q'] / curr_df['Q'].sum()) * daily_reward / 2 / curr_df['size'] * curr_df['100'] - return curr_df - -def process_single_row(row, client): - ret = {} - ret['question'] = row['question'] - ret['neg_risk'] = row['neg_risk'] - - ret['answer1'] = row['tokens'][0]['outcome'] - ret['answer2'] = row['tokens'][1]['outcome'] - - ret['min_size'] = row['rewards']['min_size'] - ret['max_spread'] = row['rewards']['max_spread'] - - token1 = row['tokens'][0]['token_id'] - token2 = row['tokens'][1]['token_id'] - - rate = 0 - for rate_info in row['rewards']['rates']: - if rate_info['asset_address'].lower() == '0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174'.lower(): - rate = rate_info['rewards_daily_rate'] - break - - ret['rewards_daily_rate'] = rate - book = client.get_order_book(token1) - - bids = pd.DataFrame() - asks = pd.DataFrame() - - try: - bids = pd.DataFrame(book.bids).astype(float) - except: - pass - - try: - asks = pd.DataFrame(book.asks).astype(float) - except: - pass - - - try: - ret['best_bid'] = bids.iloc[-1]['price'] - except: - ret['best_bid'] = 0 - - try: - ret['best_ask'] = asks.iloc[-1]['price'] - except: - ret['best_ask'] = 0 - - ret['midpoint'] = (ret['best_bid'] + ret['best_ask']) / 2 - - TICK_SIZE = row['minimum_tick_size'] - ret['tick_size'] = TICK_SIZE - - bid_from, bid_to, ask_from, ask_to = get_bid_ask_range(ret, TICK_SIZE) - v = round((ret['max_spread'] / 100), 2) - - bids_df = pd.DataFrame() - bids_df['price'] = generate_numbers(bid_from, bid_to, TICK_SIZE) - - asks_df = pd.DataFrame() - asks_df['price'] = generate_numbers(ask_from, ask_to, TICK_SIZE) - - try: - bids_df = bids_df.merge(bids, on='price', how='left').fillna(0) - except: - bids_df = pd.DataFrame() - - try: - asks_df = asks_df.merge(asks, on='price', how='left').fillna(0) - except: - asks_df = pd.DataFrame() - - best_bid_reward = 0 - ret_bid = pd.DataFrame() - - try: - ret_bid = add_formula_params(bids_df, ret['midpoint'], v, rate) - best_bid_reward = round(ret_bid['reward_per_100'].max(), 2) - except: - pass - - best_ask_reward = 0 - ret_ask = pd.DataFrame() - - try: - ret_ask = add_formula_params(asks_df, ret['midpoint'], v, rate) - best_ask_reward = round(ret_ask['reward_per_100'].max(), 2) - except: - pass - - ret['bid_reward_per_100'] = best_bid_reward - ret['ask_reward_per_100'] = best_ask_reward - - ret['sm_reward_per_100'] = round((best_bid_reward + best_ask_reward) / 2, 2) - ret['gm_reward_per_100'] = round((best_bid_reward * best_ask_reward) ** 0.5, 2) - - ret['end_date_iso'] = row['end_date_iso'] - ret['market_slug'] = row['market_slug'] - ret['token1'] = token1 - ret['token2'] = token2 - ret['condition_id'] = row['condition_id'] - - return ret - - -def get_all_results(all_df, client, max_workers=5): - all_results = [] - - def process_with_progress(args): - idx, row = args - try: - return process_single_row(row, client) - except: - print("error fetching market") - return None - - with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: - futures = [executor.submit(process_with_progress, (idx, row)) for idx, row in all_df.iterrows()] - - for future in concurrent.futures.as_completed(futures): - result = future.result() - if result is not None: - all_results.append(result) - - if len(all_results) % (max_workers * 2) == 0: - print(f'{len(all_results)} of {len(all_df)}') - - return all_results - -def get_combined_markets(new_df, new_markets, sel_df): - - if len(sel_df) > 0: - old_markets = new_df[new_df['question'].isin(sel_df['question'])] - all_markets = pd.concat([old_markets, new_markets]) - else: - all_markets = new_markets - - all_markets = all_markets.drop_duplicates('question') - - all_markets = all_markets.sort_values('gm_reward_per_100', ascending=False) - return all_markets - -import concurrent.futures - -def calculate_annualized_volatility(df, hours): - end_time = df['t'].max() - start_time = end_time - pd.Timedelta(hours=hours) - window_df = df[df['t'] >= start_time] - volatility = window_df['log_return'].std() - annualized_volatility = volatility * np.sqrt(60 * 24 * 252) - return round(annualized_volatility, 2) - -def add_volatility(row): - res = requests.get(f'https://clob.polymarket.com/prices-history?interval=1m&market={row["token1"]}&fidelity=10') - price_df = pd.DataFrame(res.json()['history']) - price_df['t'] = pd.to_datetime(price_df['t'], unit='s') - price_df['p'] = price_df['p'].round(2) - - price_df.to_csv(f'data/{row["token1"]}.csv', index=False) - - price_df['log_return'] = np.log(price_df['p'] / price_df['p'].shift(1)) - - row_dict = row.copy() - - stats = { - '1_hour': calculate_annualized_volatility(price_df, 1), - '3_hour': calculate_annualized_volatility(price_df, 3), - '6_hour': calculate_annualized_volatility(price_df, 6), - '12_hour': calculate_annualized_volatility(price_df, 12), - '24_hour': calculate_annualized_volatility(price_df, 24), - '7_day': calculate_annualized_volatility(price_df, 24 * 7), - '14_day': calculate_annualized_volatility(price_df, 24 * 14), - '30_day': calculate_annualized_volatility(price_df, 24 * 30), - 'volatility_price': price_df['p'].iloc[-1] - } - - new_dict = {**row_dict, **stats} - return new_dict - -def add_volatility_to_df(df, max_workers=2): - - results = [] - df = df.reset_index(drop=True) - - def process_volatility_with_progress(args): - idx, row = args - try: - ret = add_volatility(row.to_dict()) - return ret - except: - print("Error fetching volatility") - return None - - with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: - futures = [executor.submit(process_volatility_with_progress, (idx, row)) for idx, row in df.iterrows()] - - for future in concurrent.futures.as_completed(futures): - result = future.result() - if result is not None: - results.append(result) - - if len(results) % (max_workers * 2) == 0: - print(f'{len(results)} of {len(df)}') - - return pd.DataFrame(results) - - -def get_markets(all_results, sel_df, maker_reward=1): - new_df = pd.DataFrame(all_results) - new_df['spread'] = abs(new_df['best_ask'] - new_df['best_bid']) - new_df = new_df.sort_values('rewards_daily_rate', ascending=False) - new_df[' '] = '' - - new_df = new_df[['question', 'answer1', 'answer2', 'neg_risk', 'spread', 'best_bid', 'best_ask', 'rewards_daily_rate', 'bid_reward_per_100', 'ask_reward_per_100', 'gm_reward_per_100', 'sm_reward_per_100', 'min_size', 'max_spread', 'tick_size', 'market_slug', 'token1', 'token2', 'condition_id']] - new_df = new_df.replace([np.inf, -np.inf], 0) - all_data = new_df.copy() - s_df = new_df.copy() - - - making_markets = s_df[~new_df['question'].isin(sel_df['question'])] - making_markets = making_markets.sort_values('gm_reward_per_100', ascending=False) - making_markets = making_markets[making_markets['gm_reward_per_100'] >= maker_reward] - all_markets = get_combined_markets(new_df, making_markets, sel_df) - - return all_data, all_markets diff --git a/data_updater/google_utils.py b/data_updater/google_utils.py deleted file mode 100644 index 99562ac..0000000 --- a/data_updater/google_utils.py +++ /dev/null @@ -1,96 +0,0 @@ -from google.oauth2.service_account import Credentials -import gspread -import os -import pandas as pd -import requests -import re - - -def get_spreadsheet(read_only=False): - """ - Get the main Google Spreadsheet using credentials and URL from environment variables - - Args: - read_only (bool): If True, uses public CSV export when credentials are missing - """ - spreadsheet_url = os.getenv("SPREADSHEET_URL") - if not spreadsheet_url: - raise ValueError("SPREADSHEET_URL environment variable is not set") - - # Check for credentials - if not os.path.exists('credentials.json'): - if read_only: - return ReadOnlySpreadsheet(spreadsheet_url) - else: - raise FileNotFoundError("credentials.json not found. Use read_only=True for read-only access.") - - # Normal authenticated access - scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"] - credentials = Credentials.from_service_account_file('credentials.json', scopes=scope) - client = gspread.authorize(credentials) - spreadsheet = client.open_by_url(spreadsheet_url) - return spreadsheet - -class ReadOnlySpreadsheet: - """Read-only wrapper for Google Sheets using public CSV export""" - - def __init__(self, spreadsheet_url): - self.spreadsheet_url = spreadsheet_url - self.sheet_id = self._extract_sheet_id(spreadsheet_url) - - def _extract_sheet_id(self, url): - """Extract sheet ID from Google Sheets URL""" - match = re.search(r'/spreadsheets/d/([a-zA-Z0-9-_]+)', url) - if not match: - raise ValueError("Invalid Google Sheets URL") - return match.group(1) - - def worksheet(self, title): - """Return a read-only worksheet""" - return ReadOnlyWorksheet(self.sheet_id, title) - -class ReadOnlyWorksheet: - """Read-only worksheet that fetches data via CSV export""" - - def __init__(self, sheet_id, title): - self.sheet_id = sheet_id - self.title = title - - def get_all_records(self): - """Get all records from the worksheet as a list of dictionaries""" - try: - # Use the public CSV export URL - csv_url = f"https://docs.google.com/spreadsheets/d/{self.sheet_id}/gviz/tq?tqx=out:csv&sheet={self.title}" - response = requests.get(csv_url, timeout=30) - response.raise_for_status() - - # Read CSV data into DataFrame - from io import StringIO - df = pd.read_csv(StringIO(response.text)) - - # Convert to list of dictionaries (same format as gspread) - return df.to_dict('records') - - except Exception as e: - print(f"Warning: Could not fetch data from sheet '{self.title}': {e}") - return [] - - def get_all_values(self): - """Get all values from the worksheet as a list of lists""" - try: - csv_url = f"https://docs.google.com/spreadsheets/d/{self.sheet_id}/gviz/tq?tqx=out:csv&sheet={self.title}" - response = requests.get(csv_url, timeout=30) - response.raise_for_status() - - # Read CSV and return as list of lists - from io import StringIO - df = pd.read_csv(StringIO(response.text)) - - # Include headers and convert to list of lists - headers = [df.columns.tolist()] - data = df.values.tolist() - return headers + data - - except Exception as e: - print(f"Warning: Could not fetch data from sheet '{self.title}': {e}") - return [] \ No newline at end of file diff --git a/data_updater/trading_utils.py b/data_updater/trading_utils.py deleted file mode 100644 index 4f8071f..0000000 --- a/data_updater/trading_utils.py +++ /dev/null @@ -1,137 +0,0 @@ -from py_clob_client.constants import POLYGON -from py_clob_client.client import ClobClient -from py_clob_client.clob_types import OrderArgs, BalanceAllowanceParams, AssetType -from py_clob_client.order_builder.constants import BUY - -from web3 import Web3 -from web3.middleware import ExtraDataToPOAMiddleware - -import json - -from dotenv import load_dotenv -load_dotenv() - -import time - -import os - -MAX_INT = 2**256 - 1 - -def get_clob_client(): - host = "https://clob.polymarket.com" - key = os.getenv("PK") - chain_id = POLYGON - - if key is None: - print("Environment variable 'PK' cannot be found") - return None - - - try: - client = ClobClient(host, key=key, chain_id=chain_id) - api_creds = client.create_or_derive_api_creds() - client.set_api_creds(api_creds) - return client - except Exception as ex: - print("Error creating clob client") - print("________________") - print(ex) - return None - - -def approveContracts(): - web3 = Web3(Web3.HTTPProvider("https://polygon-rpc.com")) - web3.middleware_onion.inject(ExtraDataToPOAMiddleware, layer=0) - wallet = web3.eth.account.from_key(os.getenv("PK")) - - - with open('erc20ABI.json', 'r') as file: - erc20_abi = json.load(file) - - ctf_address = "0x4D97DCd97eC945f40cF65F87097ACe5EA0476045" - erc1155_set_approval = """[{"inputs": [{ "internalType": "address", "name": "operator", "type": "address" },{ "internalType": "bool", "name": "approved", "type": "bool" }],"name": "setApprovalForAll","outputs": [],"stateMutability": "nonpayable","type": "function"}]""" - - usdc_contract = web3.eth.contract(address="0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174", abi=erc20_abi) # usdc.e - ctf_contract = web3.eth.contract(address=ctf_address, abi=erc1155_set_approval) - - - for address in ['0x4bFb41d5B3570DeFd03C39a9A4D8dE6Bd8B8982E', '0xC5d563A36AE78145C45a50134d48A1215220f80a', '0xd91E80cF2E7be2e162c6513ceD06f1dD0dA35296']: - usdc_nonce = web3.eth.get_transaction_count( wallet.address ) - raw_usdc_txn = usdc_contract.functions.approve(address, int(MAX_INT, 0)).build_transaction({ - "chainId": 137, - "from": wallet.address, - "nonce": usdc_nonce - }) - signed_usdc_txn = web3.eth.account.sign_transaction(raw_usdc_txn, private_key=os.getenv("PK")) - usdc_tx_receipt = web3.eth.wait_for_transaction_receipt(signed_usdc_txn, 600) - - - print(f'USDC Transaction for {address} returned {usdc_tx_receipt}') - time.sleep(1) - - ctf_nonce = web3.eth.get_transaction_count( wallet.address ) - - raw_ctf_approval_txn = ctf_contract.functions.setApprovalForAll(address, True).build_transaction({ - "chainId": 137, - "from": wallet.address, - "nonce": ctf_nonce - }) - - signed_ctf_approval_tx = web3.eth.account.sign_transaction(raw_ctf_approval_txn, private_key=os.getenv("PK")) - send_ctf_approval_tx = web3.eth.send_raw_transaction(signed_ctf_approval_tx.raw_transaction) - ctf_approval_tx_receipt = web3.eth.wait_for_transaction_receipt(send_ctf_approval_tx, 600) - - print(f'CTF Transaction for {address} returned {ctf_approval_tx_receipt}') - time.sleep(1) - - - - nonce = web3.eth.get_transaction_count( wallet.address ) - raw_txn_2 = usdc_contract.functions.approve("0xC5d563A36AE78145C45a50134d48A1215220f80a", int(MAX_INT, 0)).build_transaction({ - "chainId": 137, - "from": wallet.address, - "nonce": nonce - }) - signed_txn_2 = web3.eth.account.sign_transaction(raw_txn_2, private_key=os.getenv("PK")) - send_txn_2 = web3.eth.send_raw_transaction(signed_txn_2.raw_transaction) - - - nonce = web3.eth.get_transaction_count( wallet.address ) - raw_txn_3 = usdc_contract.functions.approve("0xd91E80cF2E7be2e162c6513ceD06f1dD0dA35296", int(MAX_INT, 0)).build_transaction({ - "chainId": 137, - "from": wallet.address, - "nonce": nonce - }) - signed_txn_3 = web3.eth.account.sign_transaction(raw_txn_3, private_key=os.getenv("PK")) - send_txn_3 = web3.eth.send_raw_transaction(signed_txn_3.raw_transaction) - - -def market_action( marketId, action, price, size ): - order_args = OrderArgs( - price=price, - size=size, - side=action, - token_id=marketId, - ) - signed_order = get_clob_client().create_order(order_args) - - try: - resp = get_clob_client().post_order(signed_order) - print(resp) - except Exception as ex: - print(ex) - pass - - -def get_position(marketId): - client = get_clob_client() - position_res = client.get_balance_allowance( - BalanceAllowanceParams( - asset_type=AssetType.CONDITIONAL, - token_id=marketId - ) - ) - orderBook = client.get_order_book(marketId) - price = float(orderBook.bids[-1].price) - shares = int(position_res['balance']) / 1e6 - return shares * price \ No newline at end of file diff --git a/main.py b/main.py deleted file mode 100644 index 0d72d37..0000000 --- a/main.py +++ /dev/null @@ -1,115 +0,0 @@ -import gc # Garbage collection -import time # Time functions -import asyncio # Asynchronous I/O -import traceback # Exception handling -import threading # Thread management - -from poly_data.polymarket_client import PolymarketClient -from poly_data.data_utils import update_markets, update_positions, update_orders -from poly_data.websocket_handlers import connect_market_websocket, connect_user_websocket -import poly_data.global_state as global_state -from poly_data.data_processing import remove_from_performing -from dotenv import load_dotenv - -load_dotenv() - -def update_once(): - """ - Initialize the application state by fetching market data, positions, and orders. - """ - update_markets() # Get market information from Google Sheets - update_positions() # Get current positions from Polymarket - update_orders() # Get current orders from Polymarket - -def remove_from_pending(): - """ - Clean up stale trades that have been pending for too long (>15 seconds). - This prevents the system from getting stuck on trades that may have failed. - """ - try: - current_time = time.time() - - # Iterate through all performing trades - for col in list(global_state.performing.keys()): - for trade_id in list(global_state.performing[col]): - - try: - # If trade has been pending for more than 15 seconds, remove it - if current_time - global_state.performing_timestamps[col].get(trade_id, current_time) > 15: - print(f"Removing stale entry {trade_id} from {col} after 15 seconds") - remove_from_performing(col, trade_id) - print("After removing: ", global_state.performing, global_state.performing_timestamps) - except: - print("Error in remove_from_pending") - print(traceback.format_exc()) - except: - print("Error in remove_from_pending") - print(traceback.format_exc()) - -def update_periodically(): - """ - Background thread function that periodically updates market data, positions and orders. - - Positions and orders are updated every 5 seconds - - Market data is updated every 30 seconds (every 6 cycles) - - Stale pending trades are removed each cycle - """ - i = 1 - while True: - time.sleep(5) # Update every 5 seconds - - try: - # Clean up stale trades - remove_from_pending() - - # Update positions and orders every cycle - update_positions(avgOnly=True) # Only update average price, not position size - update_orders() - - # Update market data every 6th cycle (30 seconds) - if i % 6 == 0: - update_markets() - i = 1 - - gc.collect() # Force garbage collection to free memory - i += 1 - except: - print("Error in update_periodically") - print(traceback.format_exc()) - -async def main(): - """ - Main application entry point. Initializes client, data, and manages websocket connections. - """ - # Initialize client - global_state.client = PolymarketClient() - - # Initialize state and fetch initial data - global_state.all_tokens = [] - update_once() - print("After initial updates: ", global_state.orders, global_state.positions) - - print("\n") - print(f'There are {len(global_state.df)} market, {len(global_state.positions)} positions and {len(global_state.orders)} orders. Starting positions: {global_state.positions}') - - # Start background update thread - update_thread = threading.Thread(target=update_periodically, daemon=True) - update_thread.start() - - # Main loop - maintain websocket connections - while True: - try: - # Connect to market and user websockets simultaneously - await asyncio.gather( - connect_market_websocket(global_state.all_tokens), - connect_user_websocket() - ) - print("Reconnecting to the websocket") - except: - print("Error in main loop") - print(traceback.format_exc()) - - await asyncio.sleep(1) - gc.collect() # Clean up memory - -if __name__ == "__main__": - asyncio.run(main()) \ No newline at end of file diff --git a/poly_data/CONSTANTS.py b/poly_data/CONSTANTS.py deleted file mode 100644 index 85b3a2b..0000000 --- a/poly_data/CONSTANTS.py +++ /dev/null @@ -1,3 +0,0 @@ -# Minimum position size to trigger position merging -# Positions smaller than this will be ignored to save on gas costs -MIN_MERGE_SIZE = 20 \ No newline at end of file diff --git a/poly_data/abis.py b/poly_data/abis.py deleted file mode 100644 index 961a457..0000000 --- a/poly_data/abis.py +++ /dev/null @@ -1,3 +0,0 @@ -erc20_abi = """[{"constant":true,"inputs":[],"name":"name","outputs":[{"name":"","type":"string"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"guy","type":"address"},{"name":"wad","type":"uint256"}],"name":"approve","outputs":[{"name":"","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"totalSupply","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"src","type":"address"},{"name":"dst","type":"address"},{"name":"wad","type":"uint256"}],"name":"transferFrom","outputs":[{"name":"","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":false,"inputs":[{"name":"wad","type":"uint256"}],"name":"withdraw","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"decimals","outputs":[{"name":"","type":"uint8"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[{"name":"","type":"address"}],"name":"balanceOf","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"symbol","outputs":[{"name":"","type":"string"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"dst","type":"address"},{"name":"wad","type":"uint256"}],"name":"transfer","outputs":[{"name":"","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":false,"inputs":[],"name":"deposit","outputs":[],"payable":true,"stateMutability":"payable","type":"function"},{"constant":true,"inputs":[{"name":"","type":"address"},{"name":"","type":"address"}],"name":"allowance","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"payable":true,"stateMutability":"payable","type":"fallback"},{"anonymous":false,"inputs":[{"indexed":true,"name":"src","type":"address"},{"indexed":true,"name":"guy","type":"address"},{"indexed":false,"name":"wad","type":"uint256"}],"name":"Approval","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"src","type":"address"},{"indexed":true,"name":"dst","type":"address"},{"indexed":false,"name":"wad","type":"uint256"}],"name":"Transfer","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"dst","type":"address"},{"indexed":false,"name":"wad","type":"uint256"}],"name":"Deposit","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"src","type":"address"},{"indexed":false,"name":"wad","type":"uint256"}],"name":"Withdrawal","type":"event"}]""" -NegRiskAdapterABI = """[{"inputs":[{"internalType":"bytes32","name":"_conditionId","type":"bytes32"},{"internalType":"uint256","name":"_amount","type":"uint256"}],"name":"splitPosition","outputs":[],"stateMutability":"nonpayable","type":"function"},{"inputs":[{"internalType":"bytes32","name":"_conditionId","type":"bytes32"},{"internalType":"uint256","name":"_amount","type":"uint256"}],"name":"mergePositions","outputs":[],"stateMutability":"nonpayable","type":"function"}]""" -ConditionalTokenABI = """[{"constant":true,"inputs":[{"name":"owner","type":"address"},{"name":"id","type":"uint256"}],"name":"balanceOf","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"collateralToken","type":"address"},{"name":"parentCollectionId","type":"bytes32"},{"name":"conditionId","type":"bytes32"},{"name":"indexSets","type":"uint256[]"}],"name":"redeemPositions","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[{"name":"interfaceId","type":"bytes4"}],"name":"supportsInterface","outputs":[{"name":"","type":"bool"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[{"name":"","type":"bytes32"},{"name":"","type":"uint256"}],"name":"payoutNumerators","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"from","type":"address"},{"name":"to","type":"address"},{"name":"ids","type":"uint256[]"},{"name":"values","type":"uint256[]"},{"name":"data","type":"bytes"}],"name":"safeBatchTransferFrom","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[{"name":"collateralToken","type":"address"},{"name":"collectionId","type":"bytes32"}],"name":"getPositionId","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"pure","type":"function"},{"constant":true,"inputs":[{"name":"owners","type":"address[]"},{"name":"ids","type":"uint256[]"}],"name":"balanceOfBatch","outputs":[{"name":"","type":"uint256[]"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"collateralToken","type":"address"},{"name":"parentCollectionId","type":"bytes32"},{"name":"conditionId","type":"bytes32"},{"name":"partition","type":"uint256[]"},{"name":"amount","type":"uint256"}],"name":"splitPosition","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[{"name":"oracle","type":"address"},{"name":"questionId","type":"bytes32"},{"name":"outcomeSlotCount","type":"uint256"}],"name":"getConditionId","outputs":[{"name":"","type":"bytes32"}],"payable":false,"stateMutability":"pure","type":"function"},{"constant":true,"inputs":[{"name":"parentCollectionId","type":"bytes32"},{"name":"conditionId","type":"bytes32"},{"name":"indexSet","type":"uint256"}],"name":"getCollectionId","outputs":[{"name":"","type":"bytes32"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"collateralToken","type":"address"},{"name":"parentCollectionId","type":"bytes32"},{"name":"conditionId","type":"bytes32"},{"name":"partition","type":"uint256[]"},{"name":"amount","type":"uint256"}],"name":"mergePositions","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":false,"inputs":[{"name":"operator","type":"address"},{"name":"approved","type":"bool"}],"name":"setApprovalForAll","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":false,"inputs":[{"name":"questionId","type":"bytes32"},{"name":"payouts","type":"uint256[]"}],"name":"reportPayouts","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[{"name":"conditionId","type":"bytes32"}],"name":"getOutcomeSlotCount","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"oracle","type":"address"},{"name":"questionId","type":"bytes32"},{"name":"outcomeSlotCount","type":"uint256"}],"name":"prepareCondition","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[{"name":"","type":"bytes32"}],"name":"payoutDenominator","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[{"name":"owner","type":"address"},{"name":"operator","type":"address"}],"name":"isApprovedForAll","outputs":[{"name":"","type":"bool"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"from","type":"address"},{"name":"to","type":"address"},{"name":"id","type":"uint256"},{"name":"value","type":"uint256"},{"name":"data","type":"bytes"}],"name":"safeTransferFrom","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"anonymous":false,"inputs":[{"indexed":true,"name":"conditionId","type":"bytes32"},{"indexed":true,"name":"oracle","type":"address"},{"indexed":true,"name":"questionId","type":"bytes32"},{"indexed":false,"name":"outcomeSlotCount","type":"uint256"}],"name":"ConditionPreparation","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"conditionId","type":"bytes32"},{"indexed":true,"name":"oracle","type":"address"},{"indexed":true,"name":"questionId","type":"bytes32"},{"indexed":false,"name":"outcomeSlotCount","type":"uint256"},{"indexed":false,"name":"payoutNumerators","type":"uint256[]"}],"name":"ConditionResolution","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"stakeholder","type":"address"},{"indexed":false,"name":"collateralToken","type":"address"},{"indexed":true,"name":"parentCollectionId","type":"bytes32"},{"indexed":true,"name":"conditionId","type":"bytes32"},{"indexed":false,"name":"partition","type":"uint256[]"},{"indexed":false,"name":"amount","type":"uint256"}],"name":"PositionSplit","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"stakeholder","type":"address"},{"indexed":false,"name":"collateralToken","type":"address"},{"indexed":true,"name":"parentCollectionId","type":"bytes32"},{"indexed":true,"name":"conditionId","type":"bytes32"},{"indexed":false,"name":"partition","type":"uint256[]"},{"indexed":false,"name":"amount","type":"uint256"}],"name":"PositionsMerge","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"redeemer","type":"address"},{"indexed":true,"name":"collateralToken","type":"address"},{"indexed":true,"name":"parentCollectionId","type":"bytes32"},{"indexed":false,"name":"conditionId","type":"bytes32"},{"indexed":false,"name":"indexSets","type":"uint256[]"},{"indexed":false,"name":"payout","type":"uint256"}],"name":"PayoutRedemption","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"operator","type":"address"},{"indexed":true,"name":"from","type":"address"},{"indexed":true,"name":"to","type":"address"},{"indexed":false,"name":"id","type":"uint256"},{"indexed":false,"name":"value","type":"uint256"}],"name":"TransferSingle","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"operator","type":"address"},{"indexed":true,"name":"from","type":"address"},{"indexed":true,"name":"to","type":"address"},{"indexed":false,"name":"ids","type":"uint256[]"},{"indexed":false,"name":"values","type":"uint256[]"}],"name":"TransferBatch","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"owner","type":"address"},{"indexed":true,"name":"operator","type":"address"},{"indexed":false,"name":"approved","type":"bool"}],"name":"ApprovalForAll","type":"event"},{"anonymous":false,"inputs":[{"indexed":false,"name":"value","type":"string"},{"indexed":true,"name":"id","type":"uint256"}],"name":"URI","type":"event"}]""" \ No newline at end of file diff --git a/poly_data/data_processing.py b/poly_data/data_processing.py deleted file mode 100644 index 0fcd909..0000000 --- a/poly_data/data_processing.py +++ /dev/null @@ -1,160 +0,0 @@ -import json -from sortedcontainers import SortedDict -import poly_data.global_state as global_state -import poly_data.CONSTANTS as CONSTANTS - -from trading import perform_trade -import time -import asyncio -from poly_data.data_utils import set_position, set_order, update_positions - -def process_book_data(asset, json_data): - global_state.all_data[asset] = { - 'asset_id': json_data['asset_id'], # token_id for the Yes token - 'bids': SortedDict(), - 'asks': SortedDict() - } - - global_state.all_data[asset]['bids'].update({float(entry['price']): float(entry['size']) for entry in json_data['bids']}) - global_state.all_data[asset]['asks'].update({float(entry['price']): float(entry['size']) for entry in json_data['asks']}) - -def process_price_change(asset, side, price_level, new_size, asset_id=None): - # Skip updates for the No token to prevent duplicated updates - # Only process if asset_id matches the stored asset_id for this market - if asset_id and asset in global_state.all_data and asset_id != global_state.all_data[asset]['asset_id']: - return - - if side == 'bids': - book = global_state.all_data[asset]['bids'] - else: - book = global_state.all_data[asset]['asks'] - - if new_size == 0: - if price_level in book: - del book[price_level] - else: - book[price_level] = new_size - -def process_data(json_datas, trade=True): - # Ensure input is always a list - if isinstance(json_datas, dict): - json_datas = [json_datas] - - for json_data in json_datas: - event_type = json_data['event_type'] - asset = json_data['market'] - - if event_type == 'book': - process_book_data(asset, json_data) - - if trade: - asyncio.create_task(perform_trade(asset)) - - elif event_type == 'price_change': - for data in json_data['price_changes']: - side = 'bids' if data['side'] == 'BUY' else 'asks' - price_level = float(data['price']) - new_size = float(data['size']) - # Pass asset_id if available in the data - asset_id = data.get('asset_id', None) - process_price_change(asset, side, price_level, new_size, asset_id) - - if trade: - asyncio.create_task(perform_trade(asset)) - - - # pretty_print(f'Received book update for {asset}:', global_state.all_data[asset]) - -def add_to_performing(col, id): - if col not in global_state.performing: - global_state.performing[col] = set() - - if col not in global_state.performing_timestamps: - global_state.performing_timestamps[col] = {} - - # Add the trade ID and track its timestamp - global_state.performing[col].add(id) - global_state.performing_timestamps[col][id] = time.time() - -def remove_from_performing(col, id): - if col in global_state.performing: - global_state.performing[col].discard(id) - - if col in global_state.performing_timestamps: - global_state.performing_timestamps[col].pop(id, None) - -def process_user_data(rows): - - for row in rows: - market = row['market'] - - side = row['side'].lower() - token = row['asset_id'] - - if token in global_state.REVERSE_TOKENS: - col = token + "_" + side - - if row['event_type'] == 'trade': - size = 0 - price = 0 - maker_outcome = "" - taker_outcome = row['outcome'] - - is_user_maker = False - for maker_order in row['maker_orders']: - if maker_order['maker_address'].lower() == global_state.client.browser_wallet.lower(): - print("User is maker") - size = float(maker_order['matched_amount']) - price = float(maker_order['price']) - - is_user_maker = True - maker_outcome = maker_order['outcome'] #this is curious - - if maker_outcome == taker_outcome: - side = 'buy' if side == 'sell' else 'sell' #need to reverse as we reverse token too - else: - token = global_state.REVERSE_TOKENS[token] - - if not is_user_maker: - size = float(row['size']) - price = float(row['price']) - print("User is taker") - - print("TRADE EVENT FOR: ", row['market'], "ID: ", row['id'], "STATUS: ", row['status'], " SIDE: ", row['side'], " MAKER OUTCOME: ", maker_outcome, " TAKER OUTCOME: ", taker_outcome, " PROCESSED SIDE: ", side, " SIZE: ", size) - - - if row['status'] == 'CONFIRMED' or row['status'] == 'FAILED' : - if row['status'] == 'FAILED': - print(f"Trade failed for {token}, decreasing") - asyncio.create_task(asyncio.sleep(2)) - update_positions() - else: - remove_from_performing(col, row['id']) - print("Confirmed. Performing is ", len(global_state.performing[col])) - print("Last trade update is ", global_state.last_trade_update) - print("Performing is ", global_state.performing) - print("Performing timestamps is ", global_state.performing_timestamps) - - asyncio.create_task(perform_trade(market)) - - elif row['status'] == 'MATCHED': - add_to_performing(col, row['id']) - - print("Matched. Performing is ", len(global_state.performing[col])) - set_position(token, side, size, price) - print("Position after matching is ", global_state.positions[str(token)]) - print("Last trade update is ", global_state.last_trade_update) - print("Performing is ", global_state.performing) - print("Performing timestamps is ", global_state.performing_timestamps) - asyncio.create_task(perform_trade(market)) - elif row['status'] == 'MINED': - remove_from_performing(col, row['id']) - - elif row['event_type'] == 'order': - print("ORDER EVENT FOR: ", row['market'], " STATUS: ", row['status'], " TYPE: ", row['type'], " SIDE: ", side, " ORIGINAL SIZE: ", row['original_size'], " SIZE MATCHED: ", row['size_matched']) - - set_order(token, side, float(row['original_size']) - float(row['size_matched']), row['price']) - asyncio.create_task(perform_trade(market)) - - else: - print(f"User date received for {market} but its not in") diff --git a/poly_data/data_utils.py b/poly_data/data_utils.py deleted file mode 100644 index 4645a5e..0000000 --- a/poly_data/data_utils.py +++ /dev/null @@ -1,176 +0,0 @@ -import poly_data.global_state as global_state -from poly_data.utils import get_sheet_df -import time -import poly_data.global_state as global_state - -#sth here seems to be removing the position -def update_positions(avgOnly=False): - pos_df = global_state.client.get_all_positions() - - for idx, row in pos_df.iterrows(): - asset = str(row['asset']) - - if asset in global_state.positions: - position = global_state.positions[asset].copy() - else: - position = {'size': 0, 'avgPrice': 0} - - position['avgPrice'] = row['avgPrice'] - - if not avgOnly: - position['size'] = row['size'] - else: - - for col in [f"{asset}_sell", f"{asset}_buy"]: - #need to review this - if col not in global_state.performing or not isinstance(global_state.performing[col], set) or len(global_state.performing[col]) == 0: - try: - old_size = position['size'] - except: - old_size = 0 - - if asset in global_state.last_trade_update: - if time.time() - global_state.last_trade_update[asset] < 5: - print(f"Skipping update for {asset} because last trade update was less than 5 seconds ago") - continue - - if old_size != row['size']: - print(f"No trades are pending. Updating position from {old_size} to {row['size']} and avgPrice to {row['avgPrice']} using API") - - position['size'] = row['size'] - else: - print(f"ALERT: Skipping update for {asset} because there are trades pending for {col} looking like {global_state.performing[col]}") - - global_state.positions[asset] = position - -def get_position(token): - token = str(token) - if token in global_state.positions: - return global_state.positions[token] - else: - return {'size': 0, 'avgPrice': 0} - -def set_position(token, side, size, price, source='websocket'): - token = str(token) - size = float(size) - price = float(price) - - global_state.last_trade_update[token] = time.time() - - if side.lower() == 'sell': - size *= -1 - - if token in global_state.positions: - - prev_price = global_state.positions[token]['avgPrice'] - prev_size = global_state.positions[token]['size'] - - - if size > 0: - if prev_size == 0: - # Starting a new position - avgPrice_new = price - else: - # Buying more; update average price - avgPrice_new = (prev_price * prev_size + price * size) / (prev_size + size) - elif size < 0: - # Selling; average price remains the same - avgPrice_new = prev_price - else: - # No change in position - avgPrice_new = prev_price - - - global_state.positions[token]['size'] += size - global_state.positions[token]['avgPrice'] = avgPrice_new - else: - global_state.positions[token] = {'size': size, 'avgPrice': price} - - print(f"Updated position from {source}, set to ", global_state.positions[token]) - -def update_orders(): - all_orders = global_state.client.get_all_orders() - - orders = {} - - if len(all_orders) > 0: - for token in all_orders['asset_id'].unique(): - - if token not in orders: - orders[str(token)] = {'buy': {'price': 0, 'size': 0}, 'sell': {'price': 0, 'size': 0}} - - curr_orders = all_orders[all_orders['asset_id'] == str(token)] - - if len(curr_orders) > 0: - sel_orders = {} - sel_orders['buy'] = curr_orders[curr_orders['side'] == 'BUY'] - sel_orders['sell'] = curr_orders[curr_orders['side'] == 'SELL'] - - for type in ['buy', 'sell']: - curr = sel_orders[type] - - if len(curr) > 1: - print("Multiple orders found, cancelling") - global_state.client.cancel_all_asset(token) - orders[str(token)] = {'buy': {'price': 0, 'size': 0}, 'sell': {'price': 0, 'size': 0}} - elif len(curr) == 1: - orders[str(token)][type]['price'] = float(curr.iloc[0]['price']) - orders[str(token)][type]['size'] = float(curr.iloc[0]['original_size'] - curr.iloc[0]['size_matched']) - - global_state.orders = orders - -def get_order(token): - token = str(token) - if token in global_state.orders: - - if 'buy' not in global_state.orders[token]: - global_state.orders[token]['buy'] = {'price': 0, 'size': 0} - - if 'sell' not in global_state.orders[token]: - global_state.orders[token]['sell'] = {'price': 0, 'size': 0} - - return global_state.orders[token] - else: - return {'buy': {'price': 0, 'size': 0}, 'sell': {'price': 0, 'size': 0}} - -def set_order(token, side, size, price): - curr = {} - curr = {side: {'price': 0, 'size': 0}} - - curr[side]['size'] = float(size) - curr[side]['price'] = float(price) - - global_state.orders[str(token)] = curr - print("Updated order, set to ", curr) - - - -def update_markets(): - received_df, received_params = get_sheet_df() - - if len(received_df) > 0: - # Ensure multiplier column exists and fill NaN values with empty string - if 'multiplier' not in received_df.columns: - received_df['multiplier'] = '' - else: - received_df['multiplier'] = received_df['multiplier'].fillna('') - - global_state.df, global_state.params = received_df.copy(), received_params - - - for _, row in global_state.df.iterrows(): - for col in ['token1', 'token2']: - row[col] = str(row[col]) - - if row['token1'] not in global_state.all_tokens: - global_state.all_tokens.append(row['token1']) - - if row['token1'] not in global_state.REVERSE_TOKENS: - global_state.REVERSE_TOKENS[row['token1']] = row['token2'] - - if row['token2'] not in global_state.REVERSE_TOKENS: - global_state.REVERSE_TOKENS[row['token2']] = row['token1'] - - for col2 in [f"{row['token1']}_buy", f"{row['token1']}_sell", f"{row['token2']}_buy", f"{row['token2']}_sell"]: - if col2 not in global_state.performing: - global_state.performing[col2] = set() \ No newline at end of file diff --git a/poly_data/global_state.py b/poly_data/global_state.py deleted file mode 100644 index 4bcb940..0000000 --- a/poly_data/global_state.py +++ /dev/null @@ -1,49 +0,0 @@ -import threading -import pandas as pd - -# ============ Market Data ============ - -# List of all tokens being tracked -all_tokens = [] - -# Mapping between tokens in the same market (YES->NO, NO->YES) -REVERSE_TOKENS = {} - -# Order book data for all markets -all_data = {} - -# Market configuration data from Google Sheets -df = None - -# ============ Client & Parameters ============ - -# Polymarket client instance -client = None - -# Trading parameters from Google Sheets -params = {} - -# Lock for thread-safe trading operations -lock = threading.Lock() - -# ============ Trading State ============ - -# Tracks trades that have been matched but not yet mined -# Format: {"token_side": {trade_id1, trade_id2, ...}} -performing = {} - -# Timestamps for when trades were added to performing -# Used to clear stale trades -performing_timestamps = {} - -# Timestamps for when positions were last updated -last_trade_update = {} - -# Current open orders for each token -# Format: {token_id: {'buy': {price, size}, 'sell': {price, size}}} -orders = {} - -# Current positions for each token -# Format: {token_id: {'size': float, 'avgPrice': float}} -positions = {} - diff --git a/poly_data/polymarket_client.py b/poly_data/polymarket_client.py deleted file mode 100644 index 3ed5ada..0000000 --- a/poly_data/polymarket_client.py +++ /dev/null @@ -1,320 +0,0 @@ -from dotenv import load_dotenv # Environment variable management -import os # Operating system interface - -# Polymarket API client libraries -from py_clob_client.client import ClobClient -from py_clob_client.clob_types import OrderArgs, BalanceAllowanceParams, AssetType, PartialCreateOrderOptions -from py_clob_client.constants import POLYGON - -# Web3 libraries for blockchain interaction -from web3 import Web3 -from web3.middleware import ExtraDataToPOAMiddleware -from eth_account import Account - -import requests # HTTP requests -import pandas as pd # Data analysis -import json # JSON processing -import subprocess # For calling external processes - -from py_clob_client.clob_types import OpenOrderParams - -# Smart contract ABIs -from poly_data.abis import NegRiskAdapterABI, ConditionalTokenABI, erc20_abi - -# Load environment variables -load_dotenv() - - -class PolymarketClient: - """ - Client for interacting with Polymarket's API and smart contracts. - - This class provides methods for: - - Creating and managing orders - - Querying order book data - - Checking balances and positions - - Merging positions - - The client connects to both the Polymarket API and the Polygon blockchain. - """ - - def __init__(self, pk='default') -> None: - """ - Initialize the Polymarket client with API and blockchain connections. - - Args: - pk (str, optional): Private key identifier, defaults to 'default' - """ - host="https://clob.polymarket.com" - - # Get credentials from environment variables - key=os.getenv("PK") - browser_address = os.getenv("BROWSER_ADDRESS") - - # Don't print sensitive wallet information - print("Initializing Polymarket client...") - chain_id=POLYGON - self.browser_wallet=Web3.to_checksum_address(browser_address) - - # Initialize the Polymarket API client - self.client = ClobClient( - host=host, - key=key, - chain_id=chain_id, - funder=self.browser_wallet, - signature_type=2 - ) - - # Set up API credentials - self.creds = self.client.create_or_derive_api_creds() - self.client.set_api_creds(creds=self.creds) - - # Initialize Web3 connection to Polygon - web3 = Web3(Web3.HTTPProvider("https://polygon-rpc.com")) - web3.middleware_onion.inject(ExtraDataToPOAMiddleware, layer=0) - - # Set up USDC contract for balance checks - self.usdc_contract = web3.eth.contract( - address="0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174", - abi=erc20_abi - ) - - # Store key contract addresses - self.addresses = { - 'neg_risk_adapter': '0xd91E80cF2E7be2e162c6513ceD06f1dD0dA35296', - 'collateral': '0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174', - 'conditional_tokens': '0x4D97DCd97eC945f40cF65F87097ACe5EA0476045' - } - - # Initialize contract interfaces - self.neg_risk_adapter = web3.eth.contract( - address=self.addresses['neg_risk_adapter'], - abi=NegRiskAdapterABI - ) - - self.conditional_tokens = web3.eth.contract( - address=self.addresses['conditional_tokens'], - abi=ConditionalTokenABI - ) - - self.web3 = web3 - - - def create_order(self, marketId, action, price, size, neg_risk=False): - """ - Create and submit a new order to the Polymarket order book. - - Args: - marketId (str): ID of the market token to trade - action (str): "BUY" or "SELL" - price (float): Order price (0-1 range for prediction markets) - size (float): Order size in USDC - neg_risk (bool, optional): Whether this is a negative risk market. Defaults to False. - - Returns: - dict: Response from the API containing order details, or empty dict on error - """ - # Create order parameters - order_args = OrderArgs( - token_id=str(marketId), - price=price, - size=size, - side=action - ) - - signed_order = None - - # Handle regular vs negative risk markets differently - if neg_risk == False: - signed_order = self.client.create_order(order_args) - else: - signed_order = self.client.create_order(order_args, options=PartialCreateOrderOptions(neg_risk=True)) - - try: - # Submit the signed order to the API - resp = self.client.post_order(signed_order) - return resp - except Exception as ex: - print(ex) - return {} - - def get_order_book(self, market): - """ - Get the current order book for a specific market. - - Args: - market (str): Market ID to query - - Returns: - tuple: (bids_df, asks_df) - DataFrames containing bid and ask orders - """ - orderBook = self.client.get_order_book(market) - return pd.DataFrame(orderBook.bids).astype(float), pd.DataFrame(orderBook.asks).astype(float) - - - def get_usdc_balance(self): - """ - Get the USDC balance of the connected wallet. - - Returns: - float: USDC balance in decimal format - """ - return self.usdc_contract.functions.balanceOf(self.browser_wallet).call() / 10**6 - - def get_pos_balance(self): - """ - Get the total value of all positions for the connected wallet. - - Returns: - float: Total position value in USDC - """ - res = requests.get(f'https://data-api.polymarket.com/value?user={self.browser_wallet}') - return float(res.json()['value']) - - def get_total_balance(self): - """ - Get the combined value of USDC balance and all positions. - - Returns: - float: Total account value in USDC - """ - return self.get_usdc_balance() + self.get_pos_balance() - - def get_all_positions(self): - """ - Get all positions for the connected wallet across all markets. - - Returns: - DataFrame: All positions with details like market, size, avgPrice - """ - res = requests.get(f'https://data-api.polymarket.com/positions?user={self.browser_wallet}') - return pd.DataFrame(res.json()) - - def get_raw_position(self, tokenId): - """ - Get the raw token balance for a specific market outcome token. - - Args: - tokenId (int): Token ID to query - - Returns: - int: Raw token amount (before decimal conversion) - """ - return int(self.conditional_tokens.functions.balanceOf(self.browser_wallet, int(tokenId)).call()) - - def get_position(self, tokenId): - """ - Get both raw and formatted position size for a token. - - Args: - tokenId (int): Token ID to query - - Returns: - tuple: (raw_position, shares) - Raw token amount and decimal shares - Shares less than 1 are treated as 0 to avoid dust amounts - """ - raw_position = self.get_raw_position(tokenId) - shares = float(raw_position / 1e6) - - # Ignore very small positions (dust) - if shares < 1: - shares = 0 - - return raw_position, shares - - def get_all_orders(self): - """ - Get all open orders for the connected wallet. - - Returns: - DataFrame: All open orders with their details - """ - orders_df = pd.DataFrame(self.client.get_orders()) - - # Convert numeric columns to float - for col in ['original_size', 'size_matched', 'price']: - if col in orders_df.columns: - orders_df[col] = orders_df[col].astype(float) - - return orders_df - - def get_market_orders(self, market): - """ - Get all open orders for a specific market. - - Args: - market (str): Market ID to query - - Returns: - DataFrame: Open orders for the specified market - """ - orders_df = pd.DataFrame(self.client.get_orders(OpenOrderParams( - market=market, - ))) - - # Convert numeric columns to float - for col in ['original_size', 'size_matched', 'price']: - if col in orders_df.columns: - orders_df[col] = orders_df[col].astype(float) - - return orders_df - - - def cancel_all_asset(self, asset_id): - """ - Cancel all orders for a specific asset token. - - Args: - asset_id (str): Asset token ID - """ - self.client.cancel_market_orders(asset_id=str(asset_id)) - - - - def cancel_all_market(self, marketId): - """ - Cancel all orders in a specific market. - - Args: - marketId (str): Market ID - """ - self.client.cancel_market_orders(market=marketId) - - - def merge_positions(self, amount_to_merge, condition_id, is_neg_risk_market): - """ - Merge positions in a market to recover collateral. - - This function calls the external poly_merger Node.js script to execute - the merge operation on-chain. When you hold both YES and NO positions - in the same market, merging them recovers your USDC. - - Args: - amount_to_merge (int): Raw token amount to merge (before decimal conversion) - condition_id (str): Market condition ID - is_neg_risk_market (bool): Whether this is a negative risk market - - Returns: - str: Transaction hash or output from the merge script - - Raises: - Exception: If the merge operation fails - """ - amount_to_merge_str = str(amount_to_merge) - - # Prepare the command to run the JavaScript script - node_command = f'node poly_merger/merge.js {amount_to_merge_str} {condition_id} {"true" if is_neg_risk_market else "false"}' - print(node_command) - - # Run the command and capture the output - result = subprocess.run(node_command, shell=True, capture_output=True, text=True) - - # Check if there was an error - if result.returncode != 0: - print("Error:", result.stderr) - raise Exception(f"Error in merging positions: {result.stderr}") - - print("Done merging") - - # Return the transaction hash or output - return result.stdout \ No newline at end of file diff --git a/poly_data/trading_utils.py b/poly_data/trading_utils.py deleted file mode 100644 index 979fe72..0000000 --- a/poly_data/trading_utils.py +++ /dev/null @@ -1,197 +0,0 @@ -import math -from poly_data.data_utils import update_positions -import poly_data.global_state as global_state - -# def get_avgPrice(position, assetId): -# curr_global = global_state.all_positions[global_state.all_positions['asset'] == str(assetId)] -# api_position_size = 0 -# api_avgPrice = 0 - -# if len(curr_global) > 0: -# c_row = curr_global.iloc[0] -# api_avgPrice = round(c_row['avgPrice'], 2) -# api_position_size = c_row['size'] - -# if position > 0: -# if abs((api_position_size - position)/position * 100) > 5: -# print("Updating global positions") -# update_positions() - -# try: -# c_row = curr_global.iloc[0] -# api_avgPrice = round(c_row['avgPrice'], 2) -# api_position_size = c_row['size'] -# except: -# return 0 -# return api_avgPrice - -def get_best_bid_ask_deets(market, name, size, deviation_threshold=0.05): - - best_bid, best_bid_size, second_best_bid, second_best_bid_size, top_bid = find_best_price_with_size(global_state.all_data[market]['bids'], size, reverse=True) - best_ask, best_ask_size, second_best_ask, second_best_ask_size, top_ask = find_best_price_with_size(global_state.all_data[market]['asks'], size, reverse=False) - - # Handle None values in mid_price calculation - if best_bid is not None and best_ask is not None: - mid_price = (best_bid + best_ask) / 2 - bid_sum_within_n_percent = sum(size for price, size in global_state.all_data[market]['bids'].items() if best_bid <= price <= mid_price * (1 + deviation_threshold)) - ask_sum_within_n_percent = sum(size for price, size in global_state.all_data[market]['asks'].items() if mid_price * (1 - deviation_threshold) <= price <= best_ask) - else: - mid_price = None - bid_sum_within_n_percent = 0 - ask_sum_within_n_percent = 0 - - if name == 'token2': - # Handle None values before arithmetic operations - if all(x is not None for x in [best_bid, best_ask, second_best_bid, second_best_ask, top_bid, top_ask]): - best_bid, second_best_bid, top_bid, best_ask, second_best_ask, top_ask = 1 - best_ask, 1 - second_best_ask, 1 - top_ask, 1 - best_bid, 1 - second_best_bid, 1 - top_bid - best_bid_size, second_best_bid_size, best_ask_size, second_best_ask_size = best_ask_size, second_best_ask_size, best_bid_size, second_best_bid_size - bid_sum_within_n_percent, ask_sum_within_n_percent = ask_sum_within_n_percent, bid_sum_within_n_percent - else: - # Handle case where some prices are None - use available values or defaults - if best_bid is not None and best_ask is not None: - best_bid, best_ask = 1 - best_ask, 1 - best_bid - best_bid_size, best_ask_size = best_ask_size, best_bid_size - if second_best_bid is not None: - second_best_bid = 1 - second_best_bid - if second_best_ask is not None: - second_best_ask = 1 - second_best_ask - if top_bid is not None: - top_bid = 1 - top_bid - if top_ask is not None: - top_ask = 1 - top_ask - bid_sum_within_n_percent, ask_sum_within_n_percent = ask_sum_within_n_percent, bid_sum_within_n_percent - - - - #return as dictionary - return { - 'best_bid': best_bid, - 'best_bid_size': best_bid_size, - 'second_best_bid': second_best_bid, - 'second_best_bid_size': second_best_bid_size, - 'top_bid': top_bid, - 'best_ask': best_ask, - 'best_ask_size': best_ask_size, - 'second_best_ask': second_best_ask, - 'second_best_ask_size': second_best_ask_size, - 'top_ask': top_ask, - 'bid_sum_within_n_percent': bid_sum_within_n_percent, - 'ask_sum_within_n_percent': ask_sum_within_n_percent - } - - -def find_best_price_with_size(price_dict, min_size, reverse=False): - lst = list(price_dict.items()) - - if reverse: - lst.reverse() - - best_price, best_size = None, None - second_best_price, second_best_size = None, None - top_price = None - set_best = False - - for price, size in lst: - if top_price is None: - top_price = price - - if set_best: - second_best_price, second_best_size = price, size - break - - if size > min_size: - if best_price is None: - best_price, best_size = price, size - set_best = True - - return best_price, best_size, second_best_price, second_best_size, top_price - -def get_order_prices(best_bid, best_bid_size, top_bid, best_ask, best_ask_size, top_ask, avgPrice, row): - - bid_price = best_bid + row['tick_size'] - ask_price = best_ask - row['tick_size'] - - if best_bid_size < row['min_size'] * 1.5: - bid_price = best_bid - - if best_ask_size < 250 * 1.5: - ask_price = best_ask - - - if bid_price >= top_ask: - bid_price = top_bid - - if ask_price <= top_bid: - ask_price = top_ask - - if bid_price == ask_price: - bid_price = top_bid - ask_price = top_ask - - # if ask_price <= avgPrice: - # if avgPrice - ask_price <= (row['max_spread']*1.7/100): - # ask_price = avgPrice - - #temp for sleep - if ask_price <= avgPrice and avgPrice > 0: - ask_price = avgPrice - - return bid_price, ask_price - - - - -def round_down(number, decimals): - factor = 10 ** decimals - return math.floor(number * factor) / factor - -def round_up(number, decimals): - factor = 10 ** decimals - return math.ceil(number * factor) / factor - -def get_buy_sell_amount(position, bid_price, row, other_token_position=0): - buy_amount = 0 - sell_amount = 0 - - # Get max_size, defaulting to trade_size if not specified - max_size = row.get('max_size', row['trade_size']) - trade_size = row['trade_size'] - - # Calculate total exposure across both sides - total_exposure = position + other_token_position - - # If we haven't reached max_size on either side, continue building - if position < max_size: - # Continue quoting trade_size amounts until we reach max_size - remaining_to_max = max_size - position - buy_amount = min(trade_size, remaining_to_max) - - # Only sell if we have substantial position (to allow for exit when needed) - if position >= trade_size: - sell_amount = min(position, trade_size) - else: - sell_amount = 0 - else: - # We've reached max_size, implement progressive exit strategy - # Always offer to sell trade_size amount when at max_size - sell_amount = min(position, trade_size) - - # Continue quoting to buy if total exposure warrants it - if total_exposure < max_size * 2: # Allow some flexibility for market making - buy_amount = trade_size - else: - buy_amount = 0 - - # Ensure minimum order size compliance - if buy_amount > 0.7 * row['min_size'] and buy_amount < row['min_size']: - buy_amount = row['min_size'] - - # Apply multiplier for low-priced assets - if bid_price < 0.1 and buy_amount > 0: - multiplier = row.get('multiplier', '') - if multiplier != '': - print(f"Multiplying buy amount by {int(multiplier)}") - buy_amount = buy_amount * int(multiplier) - - return buy_amount, sell_amount - diff --git a/poly_data/utils.py b/poly_data/utils.py deleted file mode 100644 index 4d9e658..0000000 --- a/poly_data/utils.py +++ /dev/null @@ -1,68 +0,0 @@ -import json -from poly_utils.google_utils import get_spreadsheet -import pandas as pd -import os - -def pretty_print(txt, dic): - print("\n", txt, json.dumps(dic, indent=4)) - -def get_sheet_df(read_only=None): - """ - Get sheet data with optional read-only mode - - Args: - read_only (bool): If None, auto-detects based on credentials availability - """ - all = 'All Markets' - sel = 'Selected Markets' - - # Auto-detect read-only mode if not specified - if read_only is None: - creds_file = 'credentials.json' if os.path.exists('credentials.json') else '../credentials.json' - read_only = not os.path.exists(creds_file) - if read_only: - print("No credentials found, using read-only mode") - - try: - spreadsheet = get_spreadsheet(read_only=read_only) - except FileNotFoundError: - print("No credentials found, falling back to read-only mode") - spreadsheet = get_spreadsheet(read_only=True) - - wk = spreadsheet.worksheet(sel) - df = pd.DataFrame(wk.get_all_records()) - df = df[df['question'] != ""].reset_index(drop=True) - - wk2 = spreadsheet.worksheet(all) - df2 = pd.DataFrame(wk2.get_all_records()) - df2 = df2[df2['question'] != ""].reset_index(drop=True) - - result = df.merge(df2, on='question', how='inner') - - wk_p = spreadsheet.worksheet('Hyperparameters') - records = wk_p.get_all_records() - hyperparams, current_type = {}, None - - for r in records: - # Update current_type only when we have a non-empty type value - # Handle both string and NaN values from pandas - type_value = r['type'] - if type_value and str(type_value).strip() and str(type_value) != 'nan': - current_type = str(type_value).strip() - - # Skip rows where we don't have a current_type set - if current_type: - # Convert numeric values to appropriate types - value = r['value'] - try: - # Try to convert to float if it's numeric - if isinstance(value, str) and value.replace('.', '').replace('-', '').isdigit(): - value = float(value) - elif isinstance(value, (int, float)): - value = float(value) - except (ValueError, TypeError): - pass # Keep as string if conversion fails - - hyperparams.setdefault(current_type, {})[r['param']] = value - - return result, hyperparams diff --git a/poly_data/websocket_handlers.py b/poly_data/websocket_handlers.py deleted file mode 100644 index 1fcf6b4..0000000 --- a/poly_data/websocket_handlers.py +++ /dev/null @@ -1,98 +0,0 @@ -import asyncio # Asynchronous I/O -import json # JSON handling -import websockets # WebSocket client -import traceback # Exception handling - -from poly_data.data_processing import process_data, process_user_data -import poly_data.global_state as global_state - -async def connect_market_websocket(chunk): - """ - Connect to Polymarket's market WebSocket API and process market updates. - - This function: - 1. Establishes a WebSocket connection to the Polymarket API - 2. Subscribes to updates for a specified list of market tokens - 3. Processes incoming order book and price updates - - Args: - chunk (list): List of token IDs to subscribe to - - Notes: - If the connection is lost, the function will exit and the main loop will - attempt to reconnect after a short delay. - """ - uri = "wss://ws-subscriptions-clob.polymarket.com/ws/market" - async with websockets.connect(uri, ping_interval=5, ping_timeout=None) as websocket: - # Prepare and send subscription message - message = {"assets_ids": chunk} - await websocket.send(json.dumps(message)) - - print("\n") - print(f"Sent market subscription message: {message}") - - try: - # Process incoming market data indefinitely - while True: - message = await websocket.recv() - json_data = json.loads(message) - # Process order book updates and trigger trading as needed - process_data(json_data) - except websockets.ConnectionClosed: - print("Connection closed in market websocket") - print(traceback.format_exc()) - except Exception as e: - print(f"Exception in market websocket: {e}") - print(traceback.format_exc()) - finally: - # Brief delay before attempting to reconnect - await asyncio.sleep(5) - -async def connect_user_websocket(): - """ - Connect to Polymarket's user WebSocket API and process order/trade updates. - - This function: - 1. Establishes a WebSocket connection to the Polymarket user API - 2. Authenticates using API credentials - 3. Processes incoming order and trade updates for the user - - Notes: - If the connection is lost, the function will exit and the main loop will - attempt to reconnect after a short delay. - """ - uri = "wss://ws-subscriptions-clob.polymarket.com/ws/user" - - async with websockets.connect(uri, ping_interval=5, ping_timeout=None) as websocket: - # Prepare authentication message with API credentials - message = { - "type": "user", - "auth": { - "apiKey": global_state.client.client.creds.api_key, - "secret": global_state.client.client.creds.api_secret, - "passphrase": global_state.client.client.creds.api_passphrase - } - } - - # Send authentication message - await websocket.send(json.dumps(message)) - - print("\n") - print(f"Sent user subscription message") - - try: - # Process incoming user data indefinitely - while True: - message = await websocket.recv() - json_data = json.loads(message) - # Process trade and order updates - process_user_data(json_data) - except websockets.ConnectionClosed: - print("Connection closed in user websocket") - print(traceback.format_exc()) - except Exception as e: - print(f"Exception in user websocket: {e}") - print(traceback.format_exc()) - finally: - # Brief delay before attempting to reconnect - await asyncio.sleep(5) \ No newline at end of file diff --git a/poly_merger/README.md b/poly_merger/README.md deleted file mode 100644 index a940a02..0000000 --- a/poly_merger/README.md +++ /dev/null @@ -1,36 +0,0 @@ -# Poly-Merger - -A utility for merging Polymarket positions efficiently. This tool helps in consolidating opposite positions in the same market, allowing you to: - -1. Reduce gas costs -2. Free up capital -3. Simplify position management - -## How It Works - -The merger tool interacts with Polymarket's smart contracts to combine opposite positions in binary markets. When you hold both YES and NO shares in the same market, this tool will merge them to recover your USDC. - -## Usage - -The merger is invoked through the main Poly-Maker bot when position merging conditions are met, but you can also use it independently: - -``` -node merge.js [amount_to_merge] [condition_id] [is_neg_risk_market] -``` - -Example: -``` -node merge.js 1000000 0xasdasda true -``` - -This would merge 1 USDC worth of opposing positions in market 0xasdasda, which is a negative risk market. 0xasdasda should be condition_id - -## Prerequisites - -- Node.js -- ethers.js v5.x -- A .env file with your Polygon network private key - -## Notes - -This implementation is based on open-source Polymarket code but has been optimized for automated market making operations. \ No newline at end of file diff --git a/poly_merger/merge.js b/poly_merger/merge.js deleted file mode 100644 index dc7e839..0000000 --- a/poly_merger/merge.js +++ /dev/null @@ -1,140 +0,0 @@ -/** - * Poly-Merger: Position Merging Utility for Polymarket - * - * This script handles merging of YES and NO positions in Polymarket prediction markets - * to recover collateral. It works with both regular and negative risk markets. - * - * The merger supports Gnosis Safe wallets through the safe-helpers.js utility. - * - * Usage: - * node merge.js [amountToMerge] [conditionId] [isNegRiskMarket] - * - * Example: - * node merge.js 1000000 12345 true - */ - -const { ethers } = require('ethers'); -const { resolve } = require('path'); -const { existsSync } = require('fs'); -const { signAndExecuteSafeTransaction } = require('./safe-helpers'); -const { safeAbi } = require('./safeAbi'); - -// Load environment variables -const localEnvPath = resolve(__dirname, '.env'); -const parentEnvPath = resolve(__dirname, '../.env'); -const envPath = existsSync(localEnvPath) ? localEnvPath : parentEnvPath; -require('dotenv').config({ path: envPath }) - -// Connect to Polygon network -const provider = new ethers.providers.JsonRpcProvider("https://polygon-rpc.com"); -const privateKey = process.env.PK; -const wallet = new ethers.Wallet(privateKey, provider); - -// Polymarket contract addresses -const addresses = { - // Adapter contract for negative risk markets - neg_risk_adapter: '0xd91E80cF2E7be2e162c6513ceD06f1dD0dA35296', - // USDC token contract on Polygon - collateral: '0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174', - // Main conditional tokens contract for prediction markets - conditional_tokens: '0x4D97DCd97eC945f40cF65F87097ACe5EA0476045' -}; - -// Minimal ABIs for the contracts we interact with -const negRiskAdapterAbi = [ - "function mergePositions(bytes32 conditionId, uint256 amount)" -]; - -const conditionalTokensAbi = [ - "function mergePositions(address collateralToken, bytes32 parentCollectionId, bytes32 conditionId, uint256[] partition, uint256 amount)" -]; - -/** - * Merges YES and NO positions in a Polymarket prediction market to recover USDC collateral. - * - * This function handles both regular and negative risk markets via different contract calls. - * It uses the Gnosis Safe wallet infrastructure for secure transaction execution. - * - * @param {string|number} amountToMerge - Raw amount of tokens to merge (typically expressed in raw units, e.g., 1000000 = 1 USDC) - * @param {string|number} conditionId - The market's condition ID - * @param {boolean} isNegRiskMarket - Whether this is a negative risk market (uses different contract) - * @returns {string} The transaction hash of the merge operation - */ -async function mergePositions(amountToMerge, conditionId, isNegRiskMarket) { - // Log parameters for debugging - console.log(amountToMerge, conditionId, isNegRiskMarket); - - // Prepare transaction parameters - const nonce = await provider.getTransactionCount(wallet.address); - const gasPrice = await provider.getGasPrice(); - const gasLimit = 10000000; // Set high gas limit to ensure transaction completes - - let tx; - // Different contract calls for different market types - if (isNegRiskMarket) { - // For negative risk markets, use the adapter contract - const negRiskAdapter = new ethers.Contract(addresses.neg_risk_adapter, negRiskAdapterAbi, wallet); - tx = await negRiskAdapter.populateTransaction.mergePositions(conditionId, amountToMerge); - } else { - // For regular markets, use the conditional tokens contract directly - const conditionalTokens = new ethers.Contract(addresses.conditional_tokens, conditionalTokensAbi, wallet); - tx = await conditionalTokens.populateTransaction.mergePositions( - addresses.collateral, // USDC contract - ethers.constants.HashZero, // Parent collection ID (0 for top-level markets) - conditionId, // Market ID - [1, 2], // Partition (indexes of outcomes to merge) - amountToMerge // Amount to merge - ); - } - - // Prepare full transaction object - const transaction = { - ...tx, - chainId: 137, // Polygon chain ID - gasPrice: gasPrice, - gasLimit: gasLimit, - nonce: nonce - }; - - // Get the Safe address from environment variables - const safeAddress = process.env.BROWSER_ADDRESS; - const safe = new ethers.Contract(safeAddress, safeAbi, wallet); - - // Execute the transaction through the Safe - console.log("Signing Transaction") - const txResponse = await signAndExecuteSafeTransaction( - wallet, - safe, - transaction.to, - transaction.data, - { - gasPrice: transaction.gasPrice, - gasLimit: transaction.gasLimit - } - ); - - console.log("Sent transaction. Waiting for response") - const txReceipt = await txResponse.wait(); - - console.log("merge positions " + txReceipt.transactionHash); - return txReceipt.transactionHash; -} - -// Parse command line arguments -const args = process.argv.slice(2); - -// Amount of tokens to merge (in raw units, e.g., 1000000 = 1 USDC) -const amountToMerge = args[0]; - -// The market's condition ID -const conditionId = args[1]; - -// Whether this is a negative risk market (true/false) -const isNegRiskMarket = args[2] === 'true'; - -// Execute the merge operation and handle any errors -mergePositions(amountToMerge, conditionId, isNegRiskMarket) - .catch(error => { - console.error("Error merging positions:", error); - process.exit(1); - }); \ No newline at end of file diff --git a/poly_merger/package-lock.json b/poly_merger/package-lock.json deleted file mode 100644 index 7770021..0000000 --- a/poly_merger/package-lock.json +++ /dev/null @@ -1,1339 +0,0 @@ -{ - "name": "poly-merger", - "version": "1.0.0", - "lockfileVersion": 2, - 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}, - "ws": { - "version": "7.4.6", - "resolved": "https://registry.npmjs.org/ws/-/ws-7.4.6.tgz", - "integrity": "sha512-YmhHDO4MzaDLB+M9ym/mDA5z0naX8j7SIlT8f8z+I0VtzsRbekxEutHSme7NPS2qE8StCYQNUnfWdXta/Yu85A==", - "requires": {} - } - } -} diff --git a/poly_merger/package.json b/poly_merger/package.json deleted file mode 100644 index 3aacd3d..0000000 --- a/poly_merger/package.json +++ /dev/null @@ -1,15 +0,0 @@ -{ - "name": "poly-merger", - "version": "1.0.0", - "description": "Position merging utility for Polymarket", - "main": "merge.js", - "scripts": { - "test": "echo \"Error: no test specified\" && exit 1" - }, - "author": "", - "license": "MIT", - "dependencies": { - "dotenv": "^16.4.5", - "ethers": "^5.6.3" - } -} diff --git a/poly_merger/safe-helpers.js b/poly_merger/safe-helpers.js deleted file mode 100644 index bc4e023..0000000 --- a/poly_merger/safe-helpers.js +++ /dev/null @@ -1,128 +0,0 @@ -const { BigNumber, ethers } = require('ethers'); - -function joinHexData(hexData) { - return `0x${hexData - .map(hex => { - const stripped = hex.replace(/^0x/, ""); - return stripped.length % 2 === 0 ? stripped : "0" + stripped; - }) - .join("")}`; -} - -function abiEncodePacked(...params) { - return joinHexData( - params.map(({ type, value }) => { - const encoded = ethers.utils.defaultAbiCoder.encode([type], [value]); - - if (type === "bytes" || type === "string") { - const bytesLength = parseInt(encoded.slice(66, 130), 16); - return encoded.slice(130, 130 + 2 * bytesLength); - } - - let typeMatch = type.match(/^(?:u?int\d*|bytes\d+|address)\[\]$/); - if (typeMatch) { - return encoded.slice(130); - } - - if (type.startsWith("bytes")) { - const bytesLength = parseInt(type.slice(5)); - return encoded.slice(2, 2 + 2 * bytesLength); - } - - typeMatch = type.match(/^u?int(\d*)$/); - if (typeMatch) { - if (typeMatch[1] !== "") { - const bytesLength = parseInt(typeMatch[1]) / 8; - return encoded.slice(-2 * bytesLength); - } - return encoded.slice(-64); - } - - if (type === "address") { - return encoded.slice(-40); - } - - throw new Error(`unsupported type ${type}`); - }) - ); -} - -async function signTransactionHash(signer, message) { - const messageArray = ethers.utils.arrayify(message); - let sig = await signer.signMessage(messageArray); - let sigV = parseInt(sig.slice(-2), 16); - - switch (sigV) { - case 0: - case 1: - sigV += 31; - break; - case 27: - case 28: - sigV += 4; - break; - default: - throw new Error("Invalid signature"); - } - - sig = sig.slice(0, -2) + sigV.toString(16); - - return { - r: BigNumber.from("0x" + sig.slice(2, 66)).toString(), - s: BigNumber.from("0x" + sig.slice(66, 130)).toString(), - v: BigNumber.from("0x" + sig.slice(130, 132)).toString(), - }; -} - -async function signAndExecuteSafeTransaction(signer, safe, to, data, overrides = {}) { - const nonce = await safe.nonce(); - console.log("Nonce for safe: ", nonce); - const value = "0"; - const safeTxGas = "0"; - const baseGas = "0"; - const gasPrice = "0"; - const gasToken = ethers.constants.AddressZero; - const refundReceiver = ethers.constants.AddressZero; - const operation = 0; - - const txHash = await safe.getTransactionHash( - to, - value, - data, - operation, - safeTxGas, - baseGas, - gasPrice, - gasToken, - refundReceiver, - nonce - ); - console.log("Transaction hash: ", txHash); - - const rsvSignature = await signTransactionHash(signer, txHash); - const packedSig = abiEncodePacked( - { type: "uint256", value: rsvSignature.r }, - { type: "uint256", value: rsvSignature.s }, - { type: "uint8", value: rsvSignature.v } - ); - - console.log("Executing transaction"); - - return safe.execTransaction( - to, - value, - data, - operation, - safeTxGas, - baseGas, - gasPrice, - gasToken, - refundReceiver, - packedSig, - overrides - ); -} - -module.exports = { - signAndExecuteSafeTransaction, -}; \ No newline at end of file diff --git a/poly_merger/safeAbi.js b/poly_merger/safeAbi.js deleted file mode 100644 index 29d785a..0000000 --- a/poly_merger/safeAbi.js +++ /dev/null @@ -1,1140 +0,0 @@ -const safeAbi = [ - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "owner", - "type": "address" - } - ], - "name": "AddedOwner", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "internalType": "bytes32", - "name": "approvedHash", - "type": "bytes32" - }, - { - "indexed": true, - "internalType": "address", - "name": "owner", - "type": "address" - } - ], - "name": "ApproveHash", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "handler", - "type": "address" - } - ], - "name": "ChangedFallbackHandler", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "guard", - "type": "address" - } - ], - "name": "ChangedGuard", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "uint256", - "name": "threshold", - "type": "uint256" - } - ], - "name": "ChangedThreshold", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "module", - "type": "address" - } - ], - "name": "DisabledModule", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "module", - "type": "address" - } - ], - "name": "EnabledModule", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "bytes32", - "name": "txHash", - "type": "bytes32" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "payment", - "type": "uint256" - } - ], - "name": "ExecutionFailure", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "internalType": "address", - "name": "module", - "type": "address" - } - ], - "name": "ExecutionFromModuleFailure", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "internalType": "address", - "name": "module", - "type": "address" - } - ], - "name": "ExecutionFromModuleSuccess", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "bytes32", - "name": "txHash", - "type": "bytes32" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "payment", - "type": "uint256" - } - ], - "name": "ExecutionSuccess", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "owner", - "type": "address" - } - ], - "name": "RemovedOwner", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "module", - "type": "address" - }, - { - "indexed": false, - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "indexed": false, - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "indexed": false, - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - } - ], - "name": "SafeModuleTransaction", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": false, - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "indexed": false, - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "indexed": false, - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "safeTxGas", - "type": "uint256" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "baseGas", - "type": "uint256" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "gasPrice", - "type": "uint256" - }, - { - "indexed": false, - "internalType": "address", - "name": "gasToken", - "type": "address" - }, - { - "indexed": false, - "internalType": "address payable", - "name": "refundReceiver", - "type": "address" - }, - { - "indexed": false, - "internalType": "bytes", - "name": "signatures", - "type": "bytes" - }, - { - "indexed": false, - "internalType": "bytes", - "name": "additionalInfo", - "type": "bytes" - } - ], - "name": "SafeMultiSigTransaction", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "internalType": "address", - "name": "sender", - "type": "address" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "value", - "type": "uint256" - } - ], - "name": "SafeReceived", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "internalType": "address", - "name": "initiator", - "type": "address" - }, - { - "indexed": false, - "internalType": "address[]", - "name": "owners", - "type": "address[]" - }, - { - "indexed": false, - "internalType": "uint256", - "name": "threshold", - "type": "uint256" - }, - { - "indexed": false, - "internalType": "address", - "name": "initializer", - "type": "address" - }, - { - "indexed": false, - "internalType": "address", - "name": "fallbackHandler", - "type": "address" - } - ], - "name": "SafeSetup", - "type": "event" - }, - { - "anonymous": false, - "inputs": [ - { - "indexed": true, - "internalType": "bytes32", - "name": "msgHash", - "type": "bytes32" - } - ], - "name": "SignMsg", - "type": "event" - }, - { - "stateMutability": "nonpayable", - "type": "fallback" - }, - { - "inputs": [], - "name": "VERSION", - "outputs": [ - { - "internalType": "string", - "name": "", - "type": "string" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "owner", - "type": "address" - }, - { - "internalType": "uint256", - "name": "_threshold", - "type": "uint256" - } - ], - "name": "addOwnerWithThreshold", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "bytes32", - "name": "hashToApprove", - "type": "bytes32" - } - ], - "name": "approveHash", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "", - "type": "address" - }, - { - "internalType": "bytes32", - "name": "", - "type": "bytes32" - } - ], - "name": "approvedHashes", - "outputs": [ - { - "internalType": "uint256", - "name": "", - "type": "uint256" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "uint256", - "name": "_threshold", - "type": "uint256" - } - ], - "name": "changeThreshold", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "bytes32", - "name": "dataHash", - "type": "bytes32" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "bytes", - "name": "signatures", - "type": "bytes" - }, - { - "internalType": "uint256", - "name": "requiredSignatures", - "type": "uint256" - } - ], - "name": "checkNSignatures", - "outputs": [], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "bytes32", - "name": "dataHash", - "type": "bytes32" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "bytes", - "name": "signatures", - "type": "bytes" - } - ], - "name": "checkSignatures", - "outputs": [], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "prevModule", - "type": "address" - }, - { - "internalType": "address", - "name": "module", - "type": "address" - } - ], - "name": "disableModule", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [], - "name": "domainSeparator", - "outputs": [ - { - "internalType": "bytes32", - "name": "", - "type": "bytes32" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "module", - "type": "address" - } - ], - "name": "enableModule", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - }, - { - "internalType": "uint256", - "name": "safeTxGas", - "type": "uint256" - }, - { - "internalType": "uint256", - "name": "baseGas", - "type": "uint256" - }, - { - "internalType": "uint256", - "name": "gasPrice", - "type": "uint256" - }, - { - "internalType": "address", - "name": "gasToken", - "type": "address" - }, - { - "internalType": "address", - "name": "refundReceiver", - "type": "address" - }, - { - "internalType": "uint256", - "name": "_nonce", - "type": "uint256" - } - ], - "name": "encodeTransactionData", - "outputs": [ - { - "internalType": "bytes", - "name": "", - "type": "bytes" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - }, - { - "internalType": "uint256", - "name": "safeTxGas", - "type": "uint256" - }, - { - "internalType": "uint256", - "name": "baseGas", - "type": "uint256" - }, - { - "internalType": "uint256", - "name": "gasPrice", - "type": "uint256" - }, - { - "internalType": "address", - "name": "gasToken", - "type": "address" - }, - { - "internalType": "address payable", - "name": "refundReceiver", - "type": "address" - }, - { - "internalType": "bytes", - "name": "signatures", - "type": "bytes" - } - ], - "name": "execTransaction", - "outputs": [ - { - "internalType": "bool", - "name": "", - "type": "bool" - } - ], - "stateMutability": "payable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - } - ], - "name": "execTransactionFromModule", - "outputs": [ - { - "internalType": "bool", - "name": "success", - "type": "bool" - } - ], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - } - ], - "name": "execTransactionFromModuleReturnData", - "outputs": [ - { - "internalType": "bool", - "name": "success", - "type": "bool" - }, - { - "internalType": "bytes", - "name": "returnData", - "type": "bytes" - } - ], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [], - "name": "getChainId", - "outputs": [ - { - "internalType": "uint256", - "name": "", - "type": "uint256" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "start", - "type": "address" - }, - { - "internalType": "uint256", - "name": "pageSize", - "type": "uint256" - } - ], - "name": "getModulesPaginated", - "outputs": [ - { - "internalType": "address[]", - "name": "array", - "type": "address[]" - }, - { - "internalType": "address", - "name": "next", - "type": "address" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [], - "name": "getOwners", - "outputs": [ - { - "internalType": "address[]", - "name": "", - "type": "address[]" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "uint256", - "name": "offset", - "type": "uint256" - }, - { - "internalType": "uint256", - "name": "length", - "type": "uint256" - } - ], - "name": "getStorageAt", - "outputs": [ - { - "internalType": "bytes", - "name": "", - "type": "bytes" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [], - "name": "getThreshold", - "outputs": [ - { - "internalType": "uint256", - "name": "", - "type": "uint256" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - }, - { - "internalType": "uint256", - "name": "safeTxGas", - "type": "uint256" - }, - { - "internalType": "uint256", - "name": "baseGas", - "type": "uint256" - }, - { - "internalType": "uint256", - "name": "gasPrice", - "type": "uint256" - }, - { - "internalType": "address", - "name": "gasToken", - "type": "address" - }, - { - "internalType": "address", - "name": "refundReceiver", - "type": "address" - }, - { - "internalType": "uint256", - "name": "_nonce", - "type": "uint256" - } - ], - "name": "getTransactionHash", - "outputs": [ - { - "internalType": "bytes32", - "name": "", - "type": "bytes32" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "module", - "type": "address" - } - ], - "name": "isModuleEnabled", - "outputs": [ - { - "internalType": "bool", - "name": "", - "type": "bool" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "owner", - "type": "address" - } - ], - "name": "isOwner", - "outputs": [ - { - "internalType": "bool", - "name": "", - "type": "bool" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [], - "name": "nonce", - "outputs": [ - { - "internalType": "uint256", - "name": "", - "type": "uint256" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "prevOwner", - "type": "address" - }, - { - "internalType": "address", - "name": "owner", - "type": "address" - }, - { - "internalType": "uint256", - "name": "_threshold", - "type": "uint256" - } - ], - "name": "removeOwner", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "internalType": "uint256", - "name": "value", - "type": "uint256" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "enum Enum.Operation", - "name": "operation", - "type": "uint8" - } - ], - "name": "requiredTxGas", - "outputs": [ - { - "internalType": "uint256", - "name": "", - "type": "uint256" - } - ], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "handler", - "type": "address" - } - ], - "name": "setFallbackHandler", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "guard", - "type": "address" - } - ], - "name": "setGuard", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address[]", - "name": "_owners", - "type": "address[]" - }, - { - "internalType": "uint256", - "name": "_threshold", - "type": "uint256" - }, - { - "internalType": "address", - "name": "to", - "type": "address" - }, - { - "internalType": "bytes", - "name": "data", - "type": "bytes" - }, - { - "internalType": "address", - "name": "fallbackHandler", - "type": "address" - }, - { - "internalType": "address", - "name": "paymentToken", - "type": "address" - }, - { - "internalType": "uint256", - "name": "payment", - "type": "uint256" - }, - { - "internalType": "address payable", - "name": "paymentReceiver", - "type": "address" - } - ], - "name": "setup", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "bytes32", - "name": "", - "type": "bytes32" - } - ], - "name": "signedMessages", - "outputs": [ - { - "internalType": "uint256", - "name": "", - "type": "uint256" - } - ], - "stateMutability": "view", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "targetContract", - "type": "address" - }, - { - "internalType": "bytes", - "name": "calldataPayload", - "type": "bytes" - } - ], - "name": "simulateAndRevert", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "inputs": [ - { - "internalType": "address", - "name": "prevOwner", - "type": "address" - }, - { - "internalType": "address", - "name": "oldOwner", - "type": "address" - }, - { - "internalType": "address", - "name": "newOwner", - "type": "address" - } - ], - "name": "swapOwner", - "outputs": [], - "stateMutability": "nonpayable", - "type": "function" - }, - { - "stateMutability": "payable", - "type": "receive" - } - ]; - - module.exports = { safeAbi }; \ No newline at end of file diff --git a/poly_stats/account_stats.py b/poly_stats/account_stats.py deleted file mode 100644 index 40b76da..0000000 --- a/poly_stats/account_stats.py +++ /dev/null @@ -1,137 +0,0 @@ -import pandas as pd -from py_clob_client.headers.headers import create_level_2_headers -from py_clob_client.clob_types import RequestArgs - -from poly_utils.google_utils import get_spreadsheet -from gspread_dataframe import set_with_dataframe -import requests -import json -import os - -from dotenv import load_dotenv -load_dotenv() - -spreadsheet = get_spreadsheet() - -def get_markets_df(wk_full): - markets_df = pd.DataFrame(wk_full.get_all_records()) - markets_df = markets_df[['question', 'answer1', 'answer2', 'token1', 'token2']] - markets_df['token1'] = markets_df['token1'].astype(str) - markets_df['token2'] = markets_df['token2'].astype(str) - return markets_df - -def get_all_orders(client): - orders = client.client.get_orders() - orders_df = pd.DataFrame(orders) - - if len(orders_df) > 0: - orders_df['order_size'] = orders_df['original_size'].astype('float') - orders_df['size_matched'].astype('float') - orders_df = orders_df[['asset_id', 'order_size', 'side', 'price']] - - orders_df = orders_df.rename(columns={'side': 'order_side', 'price': 'order_price'}) - return orders_df - else: - return pd.DataFrame() - -def get_all_positions(client): - try: - positions = client.get_all_positions() - positions = positions[['asset', 'size', 'avgPrice', 'curPrice', 'percentPnl']] - positions = positions.rename(columns={'size': 'position_size'}) - return positions - except: - return pd.DataFrame() - -def combine_dfs(orders_df, positions, markets_df, selected_df): - merged_df = orders_df.merge(positions, left_on=['asset_id'], right_on=['asset'], how='outer') - merged_df['asset_id'] = merged_df['asset_id'].combine_first(merged_df['asset']) - merged_df = merged_df.drop(columns='asset', axis=1) - - merge_token1 = merged_df.merge(markets_df, left_on='asset_id', right_on='token1', how='inner') - merge_token1['merged_with'] = 'token1' - - # Merge with token2 - merge_token2 = merged_df.merge(markets_df, left_on='asset_id', right_on='token2', how='inner') - merge_token2['merged_with'] = 'token2' - - # Combine the results - combined_df = pd.concat([merge_token1, merge_token2]) - - assert len(merged_df) == len(combined_df) - - combined_df['answer'] = combined_df.apply( - lambda row: row['answer1'] if row['merged_with'] == 'token1' else row['answer2'], axis=1 - ) - - combined_df = combined_df[['question', 'answer', 'order_size', 'order_side', 'order_price', 'position_size', 'avgPrice', 'curPrice']] - combined_df['order_side'] = combined_df['order_side'].fillna('') - combined_df = combined_df.fillna(0) - - combined_df['marketInSelected'] = combined_df['question'].isin(selected_df['question']) - combined_df = combined_df.sort_values('question') - combined_df = combined_df.sort_values('marketInSelected') - return combined_df - -def get_earnings(client): - args = RequestArgs(method='GET', request_path='/rewards/user/markets') - l2Headers = create_level_2_headers(client.signer, client.creds, args) - url = "https://polymarket.com/api/rewards/markets" - - cursor = '' - markets = [] - - params = { - "l2Headers": json.dumps(l2Headers), - "orderBy": "earnings", - "position": "DESC", - "makerAddress": os.getenv('BROWSER_WALLET'), - "authenticationType": "eoa", - "nextCursor": cursor, - "requestPath": "/rewards/user/markets" - } - - r = requests.get(url, params=params) - results = r.json() - - data = pd.DataFrame(results['data']) - data['earnings'] = data['earnings'].apply(lambda x: x[0]['earnings']) - - data = data[data['earnings'] > 0].reset_index(drop=True) - data = data[['question', 'earnings', 'earning_percentage']] - return data - - - -def update_stats_once(client): - spreadsheet = get_spreadsheet() - wk_full = spreadsheet.worksheet('Full Markets') - wk_summary = spreadsheet.worksheet('Summary') - - - wk_sel = spreadsheet.worksheet('Selected Markets') - selected_df = pd.DataFrame(wk_sel.get_all_records()) - - markets_df = get_markets_df(wk_full) - print("Got spreadsheet...") - - orders_df = get_all_orders(client) - print("Got Orders...") - positions = get_all_positions(client) - print("Got Positions...") - - if len(positions) > 0 or len(orders_df) > 0: - combined_df = combine_dfs(orders_df, positions, markets_df, selected_df) - earnings = get_earnings(client.client) - print("Got Earnings...") - combined_df = combined_df.merge(earnings, on='question', how='left') - - combined_df = combined_df.fillna(0) - combined_df = combined_df.round(2) - - combined_df = combined_df.sort_values('earnings', ascending=False) - combined_df = combined_df[['question', 'answer', 'order_size', 'position_size', 'marketInSelected', 'earnings', 'earning_percentage']] - wk_summary.clear() - - set_with_dataframe(wk_summary, combined_df, include_index=False, include_column_header=True, resize=True) - else: - print("Position or order is empty") \ No newline at end of file diff --git a/poly_utils/google_utils.py b/poly_utils/google_utils.py deleted file mode 100644 index 59544f4..0000000 --- a/poly_utils/google_utils.py +++ /dev/null @@ -1,155 +0,0 @@ -from google.oauth2.service_account import Credentials -import gspread -import os -import pandas as pd -import requests -import re -from dotenv import load_dotenv - -load_dotenv() - -def get_spreadsheet(read_only=False): - """ - Get Google Spreadsheet with optional read-only mode. - - Args: - read_only (bool): If True, uses public CSV export when credentials are missing - - Returns: - Spreadsheet object or ReadOnlySpreadsheet wrapper for read-only mode - """ - spreadsheet_url = os.getenv("SPREADSHEET_URL") - if not spreadsheet_url: - raise ValueError("SPREADSHEET_URL environment variable is not set") - - # Check for credentials - creds_file = 'credentials.json' if os.path.exists('credentials.json') else '../credentials.json' - - if not os.path.exists(creds_file): - if read_only: - return ReadOnlySpreadsheet(spreadsheet_url) - else: - raise FileNotFoundError(f"Credentials file not found at {creds_file}. Use read_only=True for read-only access.") - - # Normal authenticated access - scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"] - credentials = Credentials.from_service_account_file(creds_file, scopes=scope) - client = gspread.authorize(credentials) - spreadsheet = client.open_by_url(spreadsheet_url) - return spreadsheet - -class ReadOnlySpreadsheet: - """Read-only wrapper for Google Sheets using public CSV export""" - - def __init__(self, spreadsheet_url): - self.spreadsheet_url = spreadsheet_url - self.sheet_id = self._extract_sheet_id(spreadsheet_url) - - def _extract_sheet_id(self, url): - """Extract sheet ID from Google Sheets URL""" - match = re.search(r'/spreadsheets/d/([a-zA-Z0-9-_]+)', url) - if not match: - raise ValueError("Invalid Google Sheets URL") - return match.group(1) - - def worksheet(self, title): - """Return a read-only worksheet""" - return ReadOnlyWorksheet(self.sheet_id, title) - -class ReadOnlyWorksheet: - """Read-only worksheet that fetches data via CSV export""" - - def __init__(self, sheet_id, title): - self.sheet_id = sheet_id - self.title = title - - def get_all_records(self): - """Get all records from the worksheet as a list of dictionaries""" - try: - # URL encode the sheet title to handle spaces and special characters - import urllib.parse - encoded_title = urllib.parse.quote(self.title) - - # Map known sheet names to likely GID positions - # Based on the sheet order: Full Markets, All Markets, Volatility Markets, Selected Markets, Hyperparameters - sheet_gid_mapping = { - 'Full Markets': 0, - 'All Markets': 1, - 'Volatility Markets': 2, - 'Selected Markets': 3, - 'Hyperparameters': 4 - } - - # Try multiple URL formats for accessing the sheet - urls_to_try = [ - f"https://docs.google.com/spreadsheets/d/{self.sheet_id}/gviz/tq?tqx=out:csv&sheet={encoded_title}", - f"https://docs.google.com/spreadsheets/d/{self.sheet_id}/gviz/tq?tqx=out:csv&sheet={self.title}", - ] - - # Add GID-based URL if we know the likely position for this sheet - if self.title in sheet_gid_mapping: - gid = sheet_gid_mapping[self.title] - urls_to_try.append(f"https://docs.google.com/spreadsheets/d/{self.sheet_id}/export?format=csv&gid={gid}") - - # Also try a few common GID positions as fallback - for gid in [0, 1, 2, 3, 4]: - urls_to_try.append(f"https://docs.google.com/spreadsheets/d/{self.sheet_id}/export?format=csv&gid={gid}") - - for csv_url in urls_to_try: - try: - print(f"Trying to fetch sheet '{self.title}' from: {csv_url}") - response = requests.get(csv_url, timeout=30) - response.raise_for_status() - - # Read CSV data into DataFrame - from io import StringIO - df = pd.read_csv(StringIO(response.text)) - - # Check if we got meaningful data (not empty or error response) - if not df.empty and len(df.columns) > 1: - # For Hyperparameters sheet, verify it has the expected columns - if self.title == 'Hyperparameters': - expected_cols = ['type', 'param', 'value'] - if all(col in df.columns for col in expected_cols): - print(f"Successfully fetched {len(df)} hyperparameter records") - return df.to_dict('records') - else: - print(f"Sheet doesn't match Hyperparameters format. Columns: {list(df.columns)}") - continue - else: - print(f"Successfully fetched {len(df)} records from sheet '{self.title}'") - # Convert to list of dictionaries (same format as gspread) - return df.to_dict('records') - - except Exception as url_error: - print(f"Failed with URL {csv_url}: {url_error}") - continue - - print(f"All URL attempts failed for sheet '{self.title}'") - return [] - - except Exception as e: - print(f"Warning: Could not fetch data from sheet '{self.title}': {e}") - return [] - - def get_all_values(self): - """Get all values from the worksheet as a list of lists""" - try: - csv_url = f"https://docs.google.com/spreadsheets/d/{self.sheet_id}/gviz/tq?tqx=out:csv&sheet={self.title}" - response = requests.get(csv_url, timeout=30) - response.raise_for_status() - - # Read CSV and return as list of lists - from io import StringIO - df = pd.read_csv(StringIO(response.text)) - - # Include headers and convert to list of lists - headers = [df.columns.tolist()] - data = df.values.tolist() - return headers + data - - except Exception as e: - print(f"Warning: Could not fetch data from sheet '{self.title}': {e}") - return [] - - diff --git a/pyproject.toml b/pyproject.toml index a4ad86d..d0dcdff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,33 +1,39 @@ [project] -name = "poly-maker" -version = "0.1.0" -description = "A market making bot for Polymarket prediction markets" +name = "polymaker" +version = "2.0.0" +description = "Maker-only market-making bot for Polymarket (CLOB V2), local-file config, political markets" readme = "README.md" -requires-python = ">=3.9.10" +requires-python = ">=3.12" license = { text = "MIT" } dependencies = [ - "py-clob-client==0.28.0", - "python-dotenv==1.2.1", - "pandas==2.3.3", - "gspread==6.2.1", - "gspread-dataframe==4.0.0", - "sortedcontainers==2.4.0", - "eth-account==0.13.7", - "eth-utils==5.3.1", - "poly_eip712_structs==0.0.1", - "py_order_utils==0.3.2", - "requests==2.32.5", - "websockets==15.0.1", - "cryptography==46.0.3", - "google-auth==2.42.1", - "web3==7.14.0", + "py-clob-client-v2==1.0.2", + "web3>=7.14", + "httpx>=0.28", + "websockets>=15.0", + "pydantic>=2.10", + "pydantic-settings>=2.7", + "structlog>=25.1", + "typer>=0.15", + "rich>=14.0", + "watchfiles>=1.0", + "python-dotenv>=1.0", + "sortedcontainers>=2.4", + "uvloop>=0.21 ; sys_platform != 'win32'", + "socksio>=1.0", + "python-socks>=2.4", ] +[project.scripts] +polymaker = "polymaker.cli:app" + [project.optional-dependencies] dev = [ - "black==24.4.2", - "pytest==8.2.2", + "pytest>=8.3", + "pytest-asyncio>=0.25", + "respx>=0.22", + "ruff>=0.9", + "mypy>=1.14", ] [build-system] @@ -35,8 +41,37 @@ requires = ["hatchling"] build-backend = "hatchling.build" [tool.hatch.build.targets.wheel] -packages = ["poly_data", "poly_stats", "poly_utils", "data_updater"] +packages = ["src/polymaker"] -[tool.black] +[tool.ruff] line-length = 100 -target-version = ["py39"] +target-version = "py312" +src = ["src", "tests"] + +[tool.ruff.lint] +select = ["E", "F", "I", "UP", "B", "SIM", "ASYNC"] +ignore = [ + "E501", # line length handled by formatter + "UP042", # str+Enum is intentional (JSON-serializable, API-string valued) + "ASYNC109", # timeout params on client wrappers are fine + "SIM108", # ternary-vs-if is a readability call +] + +[tool.mypy] +python_version = "3.12" +packages = ["polymaker"] +strict = true +warn_return_any = true +disallow_untyped_defs = true +# third-party libs without stubs +[[tool.mypy.overrides]] +module = ["py_clob_client_v2.*", "sortedcontainers.*", "web3.*", "eth_account.*"] +ignore_missing_imports = true + +[tool.pytest.ini_options] +asyncio_mode = "auto" +testpaths = ["tests"] +filterwarnings = ["ignore::DeprecationWarning"] + +[tool.uv] +package = true diff --git a/src/polymaker/__init__.py b/src/polymaker/__init__.py new file mode 100644 index 0000000..4bb35e6 --- /dev/null +++ b/src/polymaker/__init__.py @@ -0,0 +1,3 @@ +"""polymaker — maker-only market-making bot for Polymarket CLOB V2.""" + +__version__ = "2.0.0" diff --git a/poly_data/__init__.py b/src/polymaker/catalog/__init__.py similarity index 100% rename from poly_data/__init__.py rename to src/polymaker/catalog/__init__.py diff --git a/src/polymaker/catalog/gamma.py b/src/polymaker/catalog/gamma.py new file mode 100644 index 0000000..a027dae --- /dev/null +++ b/src/polymaker/catalog/gamma.py @@ -0,0 +1,187 @@ +"""Async Gamma API client for market discovery. + +Gamma (https://gamma-api.polymarket.com, no auth) returns everything the v1 +scanner burned two extra REST calls per market to compute: best bid/ask, +liquidity, volume, reward params, fee schedule, tick size, tokens. We filter +server-side by the politics tag and liquidity/volume, so a full political-market +sweep is a handful of paginated requests. +""" + +from __future__ import annotations + +import json +from collections.abc import AsyncIterator +from typing import Any + +import httpx + +from polymaker.domain import MarketMeta, TokenMeta +from polymaker.logging import get_logger + +log = get_logger("catalog.gamma") + +POLITICS_TAG_SLUG = "politics" + + +class GammaClient: + """Thin async wrapper over the Gamma REST endpoints we use.""" + + def __init__(self, host: str = "https://gamma-api.polymarket.com", timeout: float = 20.0) -> None: + self._host = host.rstrip("/") + self._client = httpx.AsyncClient(base_url=self._host, timeout=timeout) + + async def __aenter__(self) -> GammaClient: + return self + + async def __aexit__(self, *exc: object) -> None: + await self.aclose() + + async def aclose(self) -> None: + await self._client.aclose() + + async def resolve_tag_id(self, slug: str) -> str | None: + try: + r = await self._client.get(f"/tags/slug/{slug}") + r.raise_for_status() + return str(r.json()["id"]) + except (httpx.HTTPError, KeyError, json.JSONDecodeError): + log.warning("tag_resolve_failed", slug=slug) + return None + + async def iter_markets( + self, + *, + tag_id: str | None = None, + related_tags: bool = True, + min_liquidity: float = 0.0, + min_volume_24hr: float = 0.0, + limit: int = 100, # Gamma caps a page at 100 regardless of a higher ask + max_pages: int = 25, + ) -> AsyncIterator[dict[str, Any]]: + """Yield raw active/open market dicts, offset-paginated. + + Uses the offset `/markets` endpoint because it reliably supports + `tag_id` filtering today. (Keyset is the go-forward per docs; switch when + it supports tag filtering. See the README.) + """ + offset = 0 + for _ in range(max_pages): + params: dict[str, Any] = { + "limit": limit, + "offset": offset, + "active": "true", + "closed": "false", + "order": "volume24hr", + "ascending": "false", + } + if tag_id: + params["tag_id"] = tag_id + params["related_tags"] = "true" if related_tags else "false" + if min_liquidity > 0: + params["liquidity_num_min"] = min_liquidity + if min_volume_24hr > 0: + params["volume_num_min"] = min_volume_24hr + + r = await self._client.get("/markets", params=params) + r.raise_for_status() + batch = r.json() + if not batch: + return + for m in batch: + yield m + if len(batch) < limit: + return + offset += limit + + +def parse_market(raw: dict[str, Any], reward_rates: dict[str, float] | None = None) -> MarketMeta | None: + """Convert a Gamma market dict into our MarketMeta, or None if unusable.""" + try: + if not raw.get("acceptingOrders", False): + return None + token_ids = _json_list(raw.get("clobTokenIds")) + outcomes = _json_list(raw.get("outcomes")) + if len(token_ids) != 2 or len(outcomes) != 2: + return None # only binary markets + + condition_id = raw["conditionId"] + rate_map = reward_rates or {} + fee = raw.get("feeSchedule") or {} + taker_rate = float(fee.get("rate", 0.0) or 0.0) + + event_id = None + events = raw.get("events") or [] + if events: + event_id = str(events[0].get("id")) if events[0].get("id") is not None else None + + return MarketMeta( + condition_id=condition_id, + question=raw.get("question", ""), + slug=raw.get("slug", ""), + tokens=( + TokenMeta(str(token_ids[0]), str(outcomes[0])), + TokenMeta(str(token_ids[1]), str(outcomes[1])), + ), + tick_size=float(raw.get("orderPriceMinTickSize", 0.001) or 0.001), + neg_risk=bool(raw.get("negRisk", False)), + min_order_size=float(raw.get("orderMinSize", 5) or 5), + rewards_min_size=float(raw.get("rewardsMinSize", 0) or 0), + rewards_max_spread=float(raw.get("rewardsMaxSpread", 0) or 0), + rewards_daily_rate=float(rate_map.get(condition_id, 0.0)), + maker_fee_bps=0, # V2: makers pay zero + taker_fee_bps=int(round(taker_rate * 10000)), + fees_enabled=bool(raw.get("feesEnabled", False)), + rebate_rate=float(fee.get("rebateRate", 0.0) or 0.0), + end_date_iso=raw.get("endDate"), + event_id=event_id, + best_bid=float(raw.get("bestBid", 0) or 0), + best_ask=float(raw.get("bestAsk", 0) or 0), + liquidity_num=float(raw.get("liquidityNum", 0) or 0), + volume_num=float(raw.get("volumeNum", 0) or 0), + ) + except (KeyError, ValueError, TypeError) as exc: + log.warning("parse_market_failed", err=str(exc), slug=raw.get("slug")) + return None + + +def _json_list(value: Any) -> list[Any]: + """clobTokenIds / outcomes arrive as JSON-encoded strings.""" + if value is None: + return [] + if isinstance(value, list): + return value + try: + parsed = json.loads(value) + return parsed if isinstance(parsed, list) else [] + except (json.JSONDecodeError, TypeError): + return [] + + +async def fetch_reward_rates( + clob_host: str = "https://clob.polymarket.com", timeout: float = 20.0 +) -> dict[str, float]: + """Build {condition_id: daily USDC reward rate} from CLOB sampling-markets. + + These are the rewards-enabled markets; the daily rate isn't on Gamma. + """ + usdc = "0x2791bca1f2de4661ed88a30c99a7a9449aa84174" + rates: dict[str, float] = {} + async with httpx.AsyncClient(base_url=clob_host.rstrip("/"), timeout=timeout) as client: + cursor = "" + for _ in range(50): + r = await client.get("/sampling-markets", params={"next_cursor": cursor}) + r.raise_for_status() + data = r.json() + for m in data.get("data", []): + cid = m.get("condition_id") + rate = 0.0 + for ri in (m.get("rewards") or {}).get("rates") or []: + if str(ri.get("asset_address", "")).lower() == usdc: + rate = float(ri.get("rewards_daily_rate", 0) or 0) + break + if cid: + rates[cid] = rate + cursor = data.get("next_cursor") or "" + if not cursor or cursor == "LTE=": # "LTE=" is the documented end sentinel + break + return rates diff --git a/src/polymaker/catalog/scanner.py b/src/polymaker/catalog/scanner.py new file mode 100644 index 0000000..bc0390f --- /dev/null +++ b/src/polymaker/catalog/scanner.py @@ -0,0 +1,63 @@ +"""The scanner: sweep Gamma for political markets, score, persist to SQLite. + +Replaces the v1 data_updater (hour-long crawl of every order book, written to +Google Sheets). A politics-filtered sweep here is seconds and one process. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from polymaker.catalog.gamma import ( + POLITICS_TAG_SLUG, + GammaClient, + fetch_reward_rates, + parse_market, +) +from polymaker.catalog.scoring import score_market +from polymaker.catalog.store import CatalogStore +from polymaker.domain import MarketMeta +from polymaker.logging import get_logger + +log = get_logger("catalog.scanner") + + +@dataclass(frozen=True, slots=True) +class ScanConfig: + tag_slug: str = POLITICS_TAG_SLUG + min_liquidity: float = 1000.0 + min_volume_24hr: float = 0.0 + rewards_only: bool = True # keep only markets in the liquidity-rewards program + gamma_host: str = "https://gamma-api.polymarket.com" + clob_host: str = "https://clob.polymarket.com" + + +async def run_scan(store: CatalogStore, cfg: ScanConfig) -> list[MarketMeta]: + """Fetch, parse, filter, score, and persist. Returns the kept markets.""" + reward_rates = await fetch_reward_rates(cfg.clob_host) + log.info("reward_rates_loaded", n=len(reward_rates)) + + kept: list[MarketMeta] = [] + async with GammaClient(cfg.gamma_host) as gamma: + tag_id = store.cached_tag(cfg.tag_slug) or await gamma.resolve_tag_id(cfg.tag_slug) + if tag_id: + store.cache_tag(cfg.tag_slug, tag_id) + + seen = 0 + async for raw in gamma.iter_markets( + tag_id=tag_id, + min_liquidity=cfg.min_liquidity, + min_volume_24hr=cfg.min_volume_24hr, + ): + seen += 1 + meta = parse_market(raw, reward_rates) + if meta is None: + continue + if cfg.rewards_only and meta.rewards_daily_rate <= 0: + continue + kept.append(meta) + + for m in kept: + store.upsert_market(m, score_market(m)) + log.info("scan_complete", seen=seen, kept=len(kept), tag=cfg.tag_slug) + return kept diff --git a/src/polymaker/catalog/scoring.py b/src/polymaker/catalog/scoring.py new file mode 100644 index 0000000..8381160 --- /dev/null +++ b/src/polymaker/catalog/scoring.py @@ -0,0 +1,80 @@ +"""Market attractiveness scoring for the scanner. + +Combines the v1 reward-density intuition with the new maker-rebate income +stream and penalizes spread/extremes. Higher score = more attractive to make. +Pure functions over MarketMeta. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from polymaker.domain import MarketMeta + + +@dataclass(frozen=True, slots=True) +class MarketScore: + condition_id: str + reward_density: float # est. reward $/day per $100 of two-sided liquidity + rebate_potential: float # est. daily rebate $ available to makers + spread: float + extremity: float # 0 = mid ~0.5 (good), 1 = near 0/1 (bad payoff asymmetry) + score: float + + +def _mid(m: MarketMeta) -> float: + if m.best_bid > 0 and m.best_ask > 0: + return (m.best_bid + m.best_ask) / 2.0 + return 0.5 + + +def reward_density(m: MarketMeta, quote_size_usdc: float = 100.0) -> float: + """Rough reward $/day if we hold ~quote_size two-sided in-band. + + The exact per-order S((v-s)/v)^2 scoring depends on live competition; for + ranking we use daily_rate scaled by how much of the (small) market our + typical size represents, capped. This mirrors v1's gm_reward_per_100 as a + relative ranking signal, not an absolute forecast. + """ + if m.rewards_daily_rate <= 0 or m.rewards_max_spread <= 0: + return 0.0 + liq = max(m.liquidity_num, quote_size_usdc) + our_share = min(1.0, quote_size_usdc / liq) + return m.rewards_daily_rate * our_share + + +def rebate_potential(m: MarketMeta) -> float: + """Est. daily maker-rebate pool: taker_fee_rate * rebate_rate * daily volume.""" + if not m.fees_enabled or m.rebate_rate <= 0 or m.taker_fee_bps <= 0: + return 0.0 + daily_vol = m.volume_num # best proxy available from catalog; refined live + taker_rate = m.taker_fee_bps / 10000.0 + # taker fee peaks at p*(1-p); use mid as the representative point + mid = _mid(m) + fee_factor = mid * (1.0 - mid) + return daily_vol * taker_rate * fee_factor * m.rebate_rate * 0.01 # 1% daily-vol proxy + + +def extremity(m: MarketMeta) -> float: + """0 near 0.5 (balanced), ->1 near the 0/1 boundary (skip these).""" + mid = _mid(m) + return min(1.0, abs(mid - 0.5) / 0.5) + + +def score_market(m: MarketMeta) -> MarketScore: + rd = reward_density(m) + rp = rebate_potential(m) + ext = extremity(m) + spread = max(0.0, m.best_ask - m.best_bid) if (m.best_bid and m.best_ask) else 1.0 + + # income terms are additive; extremity and wide spreads discount the score + income = rd + rp + penalty = (1.0 - 0.5 * ext) * (1.0 / (1.0 + spread * 20.0)) + return MarketScore( + condition_id=m.condition_id, + reward_density=round(rd, 3), + rebate_potential=round(rp, 3), + spread=round(spread, 4), + extremity=round(ext, 3), + score=round(income * penalty, 4), + ) diff --git a/src/polymaker/catalog/store.py b/src/polymaker/catalog/store.py new file mode 100644 index 0000000..cb80abc --- /dev/null +++ b/src/polymaker/catalog/store.py @@ -0,0 +1,123 @@ +"""SQLite persistence for the market catalog and scan results. + +Replaces the v1 "All Markets" / "Volatility Markets" Google Sheets. One local +file (state.db), queryable by the CLI. WAL mode so the running bot and a +`polymaker markets` query don't block each other. +""" + +from __future__ import annotations + +import json +import sqlite3 +import time +from dataclasses import asdict +from pathlib import Path + +from polymaker.catalog.scoring import MarketScore, score_market +from polymaker.domain import MarketMeta, TokenMeta + +_SCHEMA = """ +CREATE TABLE IF NOT EXISTS markets ( + condition_id TEXT PRIMARY KEY, + question TEXT, + slug TEXT, + meta_json TEXT NOT NULL, + score REAL DEFAULT 0, + score_json TEXT, + scanned_ts REAL NOT NULL +); +CREATE INDEX IF NOT EXISTS idx_markets_score ON markets(score DESC); +CREATE INDEX IF NOT EXISTS idx_markets_slug ON markets(slug); + +CREATE TABLE IF NOT EXISTS tags ( + slug TEXT PRIMARY KEY, + tag_id TEXT NOT NULL, + ts REAL NOT NULL +); +""" + + +class CatalogStore: + """Owns the markets/tags tables in state.db.""" + + def __init__(self, db_path: str | Path = "state.db") -> None: + self.path = str(db_path) + self._conn = sqlite3.connect(self.path) + self._conn.row_factory = sqlite3.Row + self._conn.execute("PRAGMA journal_mode=WAL") + self._conn.executescript(_SCHEMA) + self._conn.commit() + + def close(self) -> None: + self._conn.close() + + def upsert_market(self, meta: MarketMeta, score: MarketScore | None = None) -> None: + sc = score or score_market(meta) + self._conn.execute( + """INSERT INTO markets(condition_id, question, slug, meta_json, score, score_json, scanned_ts) + VALUES(?,?,?,?,?,?,?) + ON CONFLICT(condition_id) DO UPDATE SET + question=excluded.question, slug=excluded.slug, meta_json=excluded.meta_json, + score=excluded.score, score_json=excluded.score_json, scanned_ts=excluded.scanned_ts""", + ( + meta.condition_id, + meta.question, + meta.slug, + _dump_meta(meta), + sc.score, + json.dumps(asdict(sc)), + time.time(), + ), + ) + self._conn.commit() + + def upsert_many(self, metas: list[MarketMeta]) -> int: + for m in metas: + self.upsert_market(m) + return len(metas) + + def get(self, condition_id: str) -> MarketMeta | None: + row = self._conn.execute( + "SELECT meta_json FROM markets WHERE condition_id=?", (condition_id,) + ).fetchone() + return _load_meta(row["meta_json"]) if row else None + + def get_by_slug(self, slug: str) -> MarketMeta | None: + row = self._conn.execute( + "SELECT meta_json FROM markets WHERE slug=?", (slug,) + ).fetchone() + return _load_meta(row["meta_json"]) if row else None + + def top(self, limit: int = 50) -> list[tuple[MarketMeta, MarketScore]]: + rows = self._conn.execute( + "SELECT meta_json, score_json FROM markets ORDER BY score DESC LIMIT ?", (limit,) + ).fetchall() + out = [] + for row in rows: + meta = _load_meta(row["meta_json"]) + sc = MarketScore(**json.loads(row["score_json"])) if row["score_json"] else score_market(meta) + out.append((meta, sc)) + return out + + def cache_tag(self, slug: str, tag_id: str) -> None: + self._conn.execute( + "INSERT OR REPLACE INTO tags(slug, tag_id, ts) VALUES(?,?,?)", + (slug, tag_id, time.time()), + ) + self._conn.commit() + + def cached_tag(self, slug: str) -> str | None: + row = self._conn.execute("SELECT tag_id FROM tags WHERE slug=?", (slug,)).fetchone() + return row["tag_id"] if row else None + + +def _dump_meta(meta: MarketMeta) -> str: + d = asdict(meta) + d["tokens"] = [asdict(t) for t in meta.tokens] + return json.dumps(d) + + +def _load_meta(blob: str) -> MarketMeta: + d = json.loads(blob) + d["tokens"] = tuple(TokenMeta(**t) for t in d["tokens"]) + return MarketMeta(**d) diff --git a/src/polymaker/cli.py b/src/polymaker/cli.py new file mode 100644 index 0000000..0652b86 --- /dev/null +++ b/src/polymaker/cli.py @@ -0,0 +1,213 @@ +"""polymaker command-line interface. + + polymaker scan sweep Gamma for political markets -> SQLite + polymaker markets rank/browse the catalog + polymaker markets-add append a market to config/markets.toml + polymaker status positions / open orders / PnL (reads SQLite) + polymaker doctor preflight: wallet auth, balances, WS reachability + polymaker run [--paper] start the market maker + polymaker cancel-all panic button +""" + +from __future__ import annotations + +import asyncio +from pathlib import Path +from typing import Any + +import typer +from rich.console import Console +from rich.table import Table + +from polymaker import __version__ +from polymaker.config import Config + +app = typer.Typer( + name="polymaker", + help="Maker-only market maker for Polymarket CLOB V2.", + no_args_is_help=True, + add_completion=False, +) +console = Console() + + +@app.command() +def version() -> None: + """Print the polymaker version.""" + console.print(f"polymaker {__version__}") + + +@app.command() +def scan( + config_dir: str = typer.Option("config", help="config directory"), + min_liquidity: float = typer.Option(1000.0, help="minimum market liquidity (USDC)"), + all_markets: bool = typer.Option(False, "--all", help="include non-rewards markets"), +) -> None: + """Sweep Gamma for political markets, score, and persist to SQLite.""" + from polymaker.catalog.scanner import ScanConfig, run_scan + from polymaker.catalog.store import CatalogStore + + cfg = Config.load(config_dir) + store = CatalogStore(cfg.paths.db) + + async def _go() -> int: + metas = await run_scan(store, ScanConfig(min_liquidity=min_liquidity, rewards_only=not all_markets)) + return len(metas) + + n = asyncio.run(_go()) + console.print(f"[green]Scanned and stored {n} markets.[/green] Run [bold]polymaker markets[/bold] to browse.") + store.close() + + +@app.command() +def markets( + config_dir: str = typer.Option("config", help="config directory"), + limit: int = typer.Option(25, help="rows to show"), +) -> None: + """Show the top scored markets from the catalog.""" + from polymaker.catalog.store import CatalogStore + + cfg = Config.load(config_dir) + store = CatalogStore(cfg.paths.db) + rows = store.top(limit) + if not rows: + console.print("[yellow]Catalog empty. Run `polymaker scan` first.[/yellow]") + raise typer.Exit() + + table = Table(title="Political markets by score") + for col in ("score", "reward/day", "rebate/day", "spread", "tick", "neg", "question"): + table.add_column(col, justify="right" if col != "question" else "left") + for meta, sc in rows: + table.add_row( + f"{sc.score:.2f}", f"{meta.rewards_daily_rate:.0f}", f"{sc.rebate_potential:.0f}", + f"{sc.spread:.3f}", f"{meta.tick_size:g}", "Y" if meta.neg_risk else "-", + meta.question[:60], + ) + console.print(table) + console.print("\nAdd one with: [bold]polymaker markets-add [/bold] (slugs are in the catalog)") + + +@app.command(name="markets-add") +def markets_add( + slug: str, + profile: str = typer.Option("political-longdated", help="strategy profile"), + config_dir: str = typer.Option("config", help="config directory"), +) -> None: + """Append a market (by slug) to config/markets.toml.""" + from polymaker.catalog.store import CatalogStore + + cfg = Config.load(config_dir) + store = CatalogStore(cfg.paths.db) + meta = store.get_by_slug(slug) + store.close() + if meta is None: + console.print(f"[red]No market with slug {slug!r} in the catalog. Run `polymaker scan`.[/red]") + raise typer.Exit(1) + + path = Path(config_dir) / "markets.toml" + block = f'\n[[markets]]\nslug = "{slug}"\nprofile = "{profile}"\nenabled = true\n' + with path.open("a") as fh: + fh.write(block) + console.print(f"[green]Added[/green] {meta.question[:60]!r} to {path}") + + +@app.command() +def status(config_dir: str = typer.Option("config", help="config directory")) -> None: + """Show positions, open orders, and marks from the local state DB.""" + from polymaker.state.store import StateStore + + cfg = Config.load(config_dir) + store = StateStore(cfg.paths.db) + snap = store.snapshot() + console.print(f"[bold]Open orders:[/bold] {snap['open_orders']}") + positions: dict[str, Any] = snap["positions"] # type: ignore[assignment] + if not positions: + console.print("[dim]No open positions.[/dim]") + else: + table = Table(title="Positions") + table.add_column("token") + table.add_column("size", justify="right") + table.add_column("avg", justify="right") + for tok, p in positions.items(): + table.add_row(tok[:16] + "…", f"{p['size']:.2f}", f"{p['avg_price']:.3f}") + console.print(table) + store.close() + + +@app.command() +def doctor(config_dir: str = typer.Option("config", help="config directory")) -> None: + """Preflight checks: config, wallet auth, balance/allowance, WS reachability.""" + from polymaker.doctor import run_doctor + + cfg = Config.load(config_dir) + ok = asyncio.run(run_doctor(cfg, console)) + raise typer.Exit(0 if ok else 1) + + +@app.command() +def run( + config_dir: str = typer.Option("config", help="config directory"), + paper: bool = typer.Option(False, "--paper", help="paper mode: full pipeline, no orders posted"), +) -> None: + """Start the market maker.""" + from polymaker.engine import Engine + from polymaker.logging import configure + + cfg = Config.load(config_dir) + configure(json_file=Path(cfg.paths.log_dir) / ("paper.jsonl" if paper else "live.jsonl")) + if cfg.engine.loop == "uvloop": + try: + import uvloop + + uvloop.install() + except Exception: # noqa: BLE001 + pass + + engine = Engine(cfg, paper=paper) + + async def _go() -> None: + try: + await engine.run_forever() + except (KeyboardInterrupt, asyncio.CancelledError): + pass + finally: + await engine.shutdown() + + console.print(f"[bold green]Starting polymaker[/bold green] ({'PAPER' if paper else 'LIVE'})…") + try: + asyncio.run(_go()) + except KeyboardInterrupt: + console.print("\n[yellow]Stopped.[/yellow]") + + +@app.command() +def livetest( + config_dir: str = typer.Option("config", help="config directory"), + notional: float = typer.Option(5.0, help="order notional in USDC"), +) -> None: + """Live wallet round-trip: place a deep post-only order and cancel it (~$5).""" + from polymaker.livetest import run_livetest + + cfg = Config.load(config_dir) + ok = asyncio.run(run_livetest(cfg, console, notional)) + raise typer.Exit(0 if ok else 1) + + +@app.command(name="cancel-all") +def cancel_all(config_dir: str = typer.Option("config", help="config directory")) -> None: + """Cancel all open orders for the wallet (panic button).""" + from polymaker.execution.gateway import ExecutionGateway + + cfg = Config.load(config_dir) + gw = ExecutionGateway(cfg) + + async def _go() -> None: + await gw.connect() + await gw.cancel_all() + + asyncio.run(_go()) + console.print("[green]Sent cancel-all.[/green]") + + +if __name__ == "__main__": + app() diff --git a/src/polymaker/config.py b/src/polymaker/config.py new file mode 100644 index 0000000..0c51136 --- /dev/null +++ b/src/polymaker/config.py @@ -0,0 +1,226 @@ +"""Configuration: pydantic models over local TOML files + .env secrets. + +Replaces the v1 Google Sheets config entirely. Three files under config/: + config.toml engine/wallet/risk/execution settings + strategy.toml named parameter profiles + markets.toml the trade list (market -> profile + overrides) + +Secrets (private key, wallet address) come only from the environment / .env. +""" + +from __future__ import annotations + +import os +import tomllib +from pathlib import Path +from typing import Any + +from dotenv import load_dotenv +from pydantic import BaseModel, ConfigDict, Field, model_validator +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class WalletConfig(BaseModel): + chain_id: int = 137 + signature_type: int = 2 + clob_host: str = "https://clob.polymarket.com" + gamma_host: str = "https://gamma-api.polymarket.com" + data_api_host: str = "https://data-api.polymarket.com" + polygon_rpc: str = "https://polygon-rpc.com" + + +class EngineConfig(BaseModel): + debounce_ms: int = 200 + reconcile_interval_s: float = 30.0 + catalog_refresh_s: float = 900.0 + heartbeat: bool = True + heartbeat_interval_s: float = 5.0 + journal: bool = True + loop: str = "uvloop" + + +class RiskConfig(BaseModel): + max_total_exposure_usdc: float = 5000.0 + max_event_group_loss_usdc: float = 1000.0 + max_market_notional_usdc: float = 800.0 + daily_loss_kill_usdc: float = 250.0 + ws_stale_halt_s: float = 10.0 + max_order_error_rate: float = 0.25 + + +class ExecutionConfig(BaseModel): + rate_budget_fraction: float = 0.25 + post_only: bool = True + max_orders_per_batch: int = 15 + + +class PathsConfig(BaseModel): + db: str = "state.db" + journal_dir: str = "journal" + log_dir: str = "logs" + + +class StrategyProfile(BaseModel): + """One named parameter set. Every knob the quoter uses lives here.""" + + model_config = ConfigDict(extra="forbid") + + # fair value + micro_levels: int = 3 + flow_ewma_halflife_s: float = 120.0 + # spread / skew + gamma: float = 0.5 + delta_min_ticks: int = 2 + c_vol: float = 1.2 + c_tox: float = 2.0 + # vol horizons + vol_short_halflife_s: float = 10.0 + vol_long_halflife_s: float = 900.0 + # sizing / inventory + base_size_usdc: float = 50.0 + q_max_usdc: float = 500.0 + q_soft_frac: float = 0.6 + layers: int = 2 + layer_step_ticks: int = 2 + # placement / churn + reprice_ticks: int = 2 + resize_frac: float = 0.15 + min_edge_ticks: int = 1 + # regime + event_cooloff_s: float = 60.0 + event_jump_ticks: int = 8 + event_sweep_levels: int = 3 + trend_flow_z: float = 1.5 + # lifecycle + end_date_taper_days: float = 7.0 + reduce_only_hours: float = 24.0 + halt_before_hours: float = 2.0 + # exits + exit_urgency_s: float = 900.0 + merge_min_size: float = 20.0 + + def with_overrides(self, overrides: dict[str, Any]) -> StrategyProfile: + """Return a copy with per-market override values applied.""" + if not overrides: + return self + data = self.model_dump() + for k, v in overrides.items(): + if k in data: + data[k] = v + return StrategyProfile(**data) + + +# Keys allowed on a market entry that are NOT profile overrides. +_MARKET_RESERVED = {"slug", "condition_id", "profile", "enabled"} + + +class MarketEntry(BaseModel): + """One line of the trade list. Extra keys are treated as profile overrides.""" + + model_config = ConfigDict(extra="allow") + + slug: str | None = None + condition_id: str | None = None + profile: str = "political-longdated" + enabled: bool = True + + @model_validator(mode="after") + def _need_identifier(self) -> MarketEntry: + if not self.slug and not self.condition_id: + raise ValueError("market entry needs a slug or condition_id") + return self + + @property + def overrides(self) -> dict[str, Any]: + extra = self.model_extra or {} + return {k: v for k, v in extra.items() if k not in _MARKET_RESERVED} + + @property + def ref(self) -> str: + return self.slug or self.condition_id or "?" + + +class Secrets(BaseSettings): + """Loaded from environment / .env. Never written to disk by us.""" + + model_config = SettingsConfigDict(env_file=".env", extra="ignore") + + pk: str = Field(default="", alias="PK") + browser_address: str = Field(default="", alias="BROWSER_ADDRESS") + polygon_rpc: str | None = Field(default=None, alias="POLYGON_RPC") + alert_webhook_url: str | None = Field(default=None, alias="ALERT_WEBHOOK_URL") + + @property + def has_wallet(self) -> bool: + return bool(self.pk and self.browser_address) + + +class Config(BaseModel): + """Fully-resolved configuration tree.""" + + wallet: WalletConfig = WalletConfig() + engine: EngineConfig = EngineConfig() + risk: RiskConfig = RiskConfig() + execution: ExecutionConfig = ExecutionConfig() + paths: PathsConfig = PathsConfig() + profiles: dict[str, StrategyProfile] = {} + markets: list[MarketEntry] = [] + secrets: Secrets = Field(default_factory=Secrets) + config_dir: Path = Path("config") + + @property + def proxy(self) -> str | None: + # Standard proxy env var; ALL_PROXY lets you route through an SSH tunnel + # (e.g. simulate colocation during local testing). httpx and web3 honor + # it automatically once load_dotenv() has run. + return os.environ.get("ALL_PROXY") or os.environ.get("HTTPS_PROXY") + + @property + def enabled_markets(self) -> list[MarketEntry]: + return [m for m in self.markets if m.enabled] + + def profile_for(self, entry: MarketEntry) -> StrategyProfile: + base = self.profiles.get(entry.profile) + if base is None: + raise KeyError(f"unknown strategy profile: {entry.profile!r}") + return base.with_overrides(entry.overrides) + + @classmethod + def load(cls, config_dir: str | Path = "config", *, load_env: bool = True) -> Config: + cdir = Path(config_dir) + if load_env: + load_dotenv() + main = _read_toml(cdir / "config.toml") + strat = _read_toml(cdir / "strategy.toml") + mkts = _read_toml(cdir / "markets.toml") + + profiles = { + name: StrategyProfile(**params) + for name, params in (strat.get("profiles") or {}).items() + } + markets = [MarketEntry(**m) for m in (mkts.get("markets") or [])] + + return cls( + wallet=WalletConfig(**main.get("wallet", {})), + engine=EngineConfig(**main.get("engine", {})), + risk=RiskConfig(**main.get("risk", {})), + execution=ExecutionConfig(**main.get("execution", {})), + paths=PathsConfig(**main.get("paths", {})), + profiles=profiles, + markets=markets, + secrets=Secrets(), + config_dir=cdir, + ) + + def reload_markets(self) -> Config: + """Re-read markets.toml only (used by the hot-reload path).""" + mkts = _read_toml(self.config_dir / "markets.toml") + self.markets = [MarketEntry(**m) for m in (mkts.get("markets") or [])] + return self + + +def _read_toml(path: Path) -> dict[str, Any]: + if not path.exists(): + return {} + with path.open("rb") as fh: + return tomllib.load(fh) diff --git a/src/polymaker/doctor.py b/src/polymaker/doctor.py new file mode 100644 index 0000000..5d1be46 --- /dev/null +++ b/src/polymaker/doctor.py @@ -0,0 +1,184 @@ +"""Preflight checks for `polymaker doctor`. + +Verifies the environment is ready to trade WITHOUT posting any order: +config + secrets, CLOB/Gamma reachable, wallet auth (L1->L2 creds), collateral +balance + positions ON THE FUNDER (deposit/developer wallet, where funds live), +a live market-WS book frame, and an authenticated user-WS connection. This is +the gate before the live $5 round-trip (the README). +""" + +from __future__ import annotations + +import asyncio +import json +from typing import Any + +import httpx +import websockets +from rich.console import Console + +from polymaker.config import Config + +MARKET_WS = "wss://ws-subscriptions-clob.polymarket.com/ws/market" +USER_WS = "wss://ws-subscriptions-clob.polymarket.com/ws/user" + + +async def run_doctor(cfg: Config, console: Console) -> bool: + ok = True + + def check(label: str, passed: bool, detail: str = "") -> None: + nonlocal ok + mark = "[green]✓[/green]" if passed else "[red]✗[/red]" + console.print(f" {mark} {label}" + (f" [dim]{detail}[/dim]" if detail else "")) + ok = ok and passed + + console.print("[bold]polymaker doctor[/bold]") + + # ── config + secrets ──────────────────────────────────────────────── + check("config loads", True, f"{len(cfg.profiles)} profiles, {len(cfg.markets)} markets") + check("PK + BROWSER_ADDRESS set", cfg.secrets.has_wallet, + "put them in .env" if not cfg.secrets.has_wallet + else f"funder {cfg.secrets.browser_address[:10]}…, sig_type {cfg.wallet.signature_type}") + + # ── REST reachability ─────────────────────────────────────────────── + async with httpx.AsyncClient(timeout=10) as c: + try: + r = await c.get(f"{cfg.wallet.clob_host}/ok") + check("CLOB reachable", r.status_code == 200, cfg.wallet.clob_host) + except httpx.HTTPError as e: + check("CLOB reachable", False, str(e)) + try: + r = await c.get(f"{cfg.wallet.gamma_host}/markets", params={"limit": 1}) + check("Gamma reachable", r.status_code == 200, cfg.wallet.gamma_host) + except httpx.HTTPError as e: + check("Gamma reachable", False, str(e)) + + # ── wallet auth + balance + positions (on the FUNDER) ─────────────── + creds: Any = None + funder = "" + held_tokens: list[str] = [] + if cfg.secrets.has_wallet: + try: + from polymaker.execution.gateway import ExecutionGateway + + gw = ExecutionGateway(cfg) + await gw.connect() + creds = gw.creds + funder = gw.funder + check("wallet auth (L2 creds derived)", bool(gw.creds), + f"signer {gw.address[:10]}… signs for funder {funder[:10]}…") + + ba = await gw.balance_allowance() + bal = _extract_balance(ba) + check("collateral (pUSD) balance readable", bal is not None, + f"≈{bal:.2f} pUSD on funder {funder[:10]}…" if bal is not None else "check allowances") + if bal is not None and bal <= 0: + console.print(" [yellow]! balance is 0 — deposit USDC (mints pUSD) and set " + "allowances from the deposit wallet (trade once in the UI)[/yellow]") + + positions = await gw.positions() + held_tokens = list(positions) + total_shares = sum(sz for sz, _ in positions.values()) + check("positions readable (on funder)", True, + f"{len(positions)} positions, {total_shares:.0f} shares total") + except Exception as e: # noqa: BLE001 + check("wallet auth (L2 creds derived)", False, str(e)) + console.print(" [yellow]! signature-type mismatch? deposit wallets use sig_type=3 " + "(config.toml). See the README.[/yellow]") + else: + console.print(" [yellow]! skipping wallet checks (no secrets)[/yellow]") + + if cfg.proxy: + console.print(f" [dim]· routing via proxy {cfg.proxy.split('@')[-1]}[/dim]") + + # ── live market WS: receive an actual book frame ──────────────────── + token = held_tokens[0] if held_tokens else await _top_political_token(cfg) + if token: + passed, detail = await _market_ws_book(token, cfg.proxy) + check("market WS live book frame", passed, detail) + else: + check("market WS live book frame", False, "no token to subscribe to") + + # ── live user WS: authenticate ────────────────────────────────────── + if creds is not None: + markets = [cfg.markets[0].condition_id] if cfg.markets and cfg.markets[0].condition_id else [] + passed, detail = await _user_ws_auth(creds, markets, cfg.proxy) + check("user WS authenticated", passed, detail) + else: + console.print(" [dim]· skipping user WS (needs wallet creds)[/dim]") + + console.print(f"\n[bold]{'READY' if ok else 'NOT READY'}[/bold]") + return ok + + +async def _market_ws_book(token: str, proxy: str | None = None) -> tuple[bool, str]: + """Subscribe to a token and confirm a real `book` frame arrives.""" + kw: dict[str, Any] = {"ping_interval": 5, "ping_timeout": None, "open_timeout": 10} + if proxy: + kw["proxy"] = proxy + try: + async with websockets.connect(MARKET_WS, **kw) as ws: + await ws.send(json.dumps({"assets_ids": [token], "type": "market"})) + for _ in range(12): + raw = await asyncio.wait_for(ws.recv(), timeout=8) + data = json.loads(raw) + for m in data if isinstance(data, list) else [data]: + if isinstance(m, dict) and m.get("event_type") == "book": + nb, na = len(m.get("bids", [])), len(m.get("asks", [])) + return True, f"book received: {nb} bids / {na} asks" + except Exception as e: # noqa: BLE001 + return False, str(e)[:80] + return False, "no book frame within timeout" + + +async def _user_ws_auth(creds: Any, markets: list[str], proxy: str | None = None) -> tuple[bool, str]: + """Authenticate on the user channel and confirm the server accepts it.""" + kw: dict[str, Any] = {"ping_interval": 5, "ping_timeout": None, "open_timeout": 10} + if proxy: + kw["proxy"] = proxy + try: + async with websockets.connect(USER_WS, **kw) as ws: + await ws.send(json.dumps({ + "type": "user", + "auth": {"apiKey": creds.api_key, "secret": creds.api_secret, + "passphrase": creds.api_passphrase}, + "markets": markets, + })) + try: + raw = await asyncio.wait_for(ws.recv(), timeout=4) + low = raw.lower() if isinstance(raw, str) else "" + if "auth" in low and any(w in low for w in ("fail", "error", "invalid", "unauthor")): + return False, "auth rejected by server" + return True, "connected, receiving events" + except TimeoutError: + # no message but the socket stayed open => auth accepted, just idle + return True, "connected (idle — no events yet)" + except websockets.ConnectionClosed: + return False, "connection closed (auth likely rejected)" + except Exception as e: # noqa: BLE001 + return False, str(e)[:80] + + +async def _top_political_token(cfg: Config) -> str | None: + try: + async with httpx.AsyncClient(timeout=15) as c: + r = await c.get(f"{cfg.wallet.gamma_host}/markets", + params={"limit": 1, "closed": "false", "tag_id": 2, + "order": "volume24hr", "ascending": "false"}) + toks = json.loads(r.json()[0]["clobTokenIds"]) + return str(toks[0]) + except (httpx.HTTPError, KeyError, IndexError, ValueError): + return None + + +def _extract_balance(ba: dict[str, Any]) -> float | None: + if not isinstance(ba, dict): + return None + for k in ("balance", "collateral", "amount"): + if k in ba: + try: + v = float(ba[k]) + return v / 1e6 if v > 1e6 else v + except (ValueError, TypeError): + return None + return None diff --git a/src/polymaker/domain.py b/src/polymaker/domain.py new file mode 100644 index 0000000..39935c7 --- /dev/null +++ b/src/polymaker/domain.py @@ -0,0 +1,185 @@ +"""Core domain types shared across polymaker. + +These are plain, immutable-ish dataclasses and enums with no I/O. Everything the +strategy, execution, and state layers speak is defined here so the boundaries +between components are typed rather than dict-shaped (the v1 failure mode). +""" + +from __future__ import annotations + +import time +from dataclasses import dataclass, field +from enum import Enum + + +class Side(str, Enum): + """Order side. Values match the CLOB API's string form.""" + + BUY = "BUY" + SELL = "SELL" + + @property + def opposite(self) -> Side: + return Side.SELL if self is Side.BUY else Side.BUY + + +class Regime(str, Enum): + """Per-market quoting regime (see the README).""" + + QUIET = "QUIET" # farming posture: in-band, layered, full size + TRENDING = "TRENDING" # persistent one-sided flow: lean + widen + half size + EVENT = "EVENT" # sweep/jump detected: pull quotes, cool off + REDUCE_ONLY = "REDUCE_ONLY" # inventory cap / end-date: exit quotes only + HALTED = "HALTED" # stale data / resolved / kill switch: cancel all + + +class OrderState(str, Enum): + """Lifecycle of one of our orders.""" + + DRAFT = "DRAFT" + POSTED = "POSTED" + LIVE = "LIVE" + PARTIALLY_FILLED = "PARTIALLY_FILLED" + CANCELED = "CANCELED" + REJECTED = "REJECTED" + DONE = "DONE" + + +class TradeState(str, Enum): + """Lifecycle of an on-chain match, mirroring the user-WS status ladder.""" + + MATCHED = "MATCHED" + MINED = "MINED" + CONFIRMED = "CONFIRMED" + RETRYING = "RETRYING" + FAILED = "FAILED" + + +# ── Market metadata ──────────────────────────────────────────────────────── + + +@dataclass(frozen=True, slots=True) +class TokenMeta: + token_id: str + outcome: str # e.g. "Yes" / "No" / candidate name + + +@dataclass(frozen=True, slots=True) +class MarketMeta: + """Static-ish metadata for a tradable market, sourced from Gamma/CLOB.""" + + condition_id: str + question: str + slug: str + tokens: tuple[TokenMeta, TokenMeta] + tick_size: float + neg_risk: bool + min_order_size: float # exchange minimum order size (shares) + # liquidity-rewards params + rewards_min_size: float + rewards_max_spread: float # in cents (e.g. 3.0 == 3c band) + rewards_daily_rate: float + # fees + maker_fee_bps: int + taker_fee_bps: int + fees_enabled: bool + # lifecycle / grouping + end_date_iso: str | None + event_id: str | None # neg-risk event group; siblings share this + # fraction of taker fees rebated to makers (V2 maker rebates) + rebate_rate: float = 0.0 + # market-data references (may be stale; not authoritative for quoting) + best_bid: float = 0.0 + best_ask: float = 0.0 + liquidity_num: float = 0.0 + volume_num: float = 0.0 + + @property + def yes(self) -> TokenMeta: + return self.tokens[0] + + @property + def no(self) -> TokenMeta: + return self.tokens[1] + + def other_token(self, token_id: str) -> str: + a, b = self.tokens + return b.token_id if token_id == a.token_id else a.token_id + + @property + def price_decimals(self) -> int: + """Number of decimal places implied by the tick size.""" + s = f"{self.tick_size:f}".rstrip("0") + return len(s.split(".")[1]) if "." in s else 0 + + +# ── Live trading state ───────────────────────────────────────────────────── + + +@dataclass(slots=True) +class Position: + token_id: str + size: float = 0.0 # signed shares held (long only in practice; >= 0) + avg_price: float = 0.0 + + @property + def is_flat(self) -> bool: + return self.size <= 0.0 + + +@dataclass(slots=True) +class OpenOrder: + """One of our resting orders as we currently believe it exists.""" + + order_id: str + token_id: str + side: Side + price: float + size: float # remaining (original - matched) + state: OrderState = OrderState.LIVE + created_ts: float = field(default_factory=time.time) + + @property + def notional(self) -> float: + return self.price * self.size + + +@dataclass(frozen=True, slots=True) +class Fill: + token_id: str + side: Side + price: float + size: float + trade_id: str + ts: float = field(default_factory=time.time) + is_maker: bool = True + + +# ── Strategy output ──────────────────────────────────────────────────────── + + +@dataclass(frozen=True, slots=True) +class Quote: + """One intended resting order the strategy wants live.""" + + token_id: str + side: Side + price: float + size: float + + def key(self, price_decimals: int) -> tuple[str, Side, float]: + """Identity used to match against live orders (side + rounded price).""" + return (self.token_id, self.side, round(self.price, price_decimals)) + + +@dataclass(frozen=True, slots=True) +class TargetQuotes: + """The full desired resting-order set for a market at a point in time.""" + + condition_id: str + regime: Regime + quotes: tuple[Quote, ...] = () + + @property + def is_empty(self) -> bool: + return len(self.quotes) == 0 diff --git a/src/polymaker/engine.py b/src/polymaker/engine.py new file mode 100644 index 0000000..6b42be7 --- /dev/null +++ b/src/polymaker/engine.py @@ -0,0 +1,367 @@ +"""Engine: wires every component into a single async event loop. + +Data flow per market: + market WS -> OrderBook -> (wake) -> Quoter task -> strategy (pure) -> reconcile + -> ExecutionGateway ; user WS -> StateStore ; periodic REST reconcile + heartbeat. + +One lightweight quoter task per market, woken by book/fill events and debounced. +The strategy layer is pure; the engine owns all the state and I/O around it. +""" + +from __future__ import annotations + +import asyncio +import contextlib +import time +from datetime import datetime +from typing import Any + +from polymaker.catalog.gamma import GammaClient, fetch_reward_rates, parse_market +from polymaker.catalog.store import CatalogStore +from polymaker.config import Config, StrategyProfile +from polymaker.domain import Fill, MarketMeta +from polymaker.execution.gateway import ExecutionGateway +from polymaker.execution.reconciler import reconcile +from polymaker.journal import Journal +from polymaker.logging import get_logger +from polymaker.marketdata.parse import TradePrint +from polymaker.marketdata.service import MarketDataService +from polymaker.merge import Merger +from polymaker.risk.manager import RiskManager +from polymaker.state.store import StateStore +from polymaker.state.tracker import UserEventProcessor +from polymaker.strategy.estimators import ( + FlowEstimator, + MarketEstimators, + MarkoutTracker, + VolEstimator, +) +from polymaker.strategy.quoting import QuoteInputs, compute_fair_value, construct_quotes +from polymaker.strategy.regime import RegimeInputs, RegimeMachine +from polymaker.userstream.client import UserStream + +log = get_logger("engine") + + +class Engine: + def __init__(self, cfg: Config, *, paper: bool = False) -> None: + self.cfg = cfg + self.paper = paper + self._running = False + + self.journal = Journal(cfg.paths.journal_dir, enabled=cfg.engine.journal, + day="paper" if paper else "live") + self.state = StateStore(cfg.paths.db) + self.catalog = CatalogStore(cfg.paths.db) + self.gateway = ExecutionGateway(cfg, self.journal, paper=paper) + self.risk = RiskManager(cfg.risk, self.state) + self.merger = Merger(cfg) + + self.md = MarketDataService(on_dirty=self._on_dirty, on_trade=self._on_trade, + journal=self.journal, proxy=cfg.proxy) + self.user_proc = UserEventProcessor(self.state, on_change=self._wake_cid, + on_fill=self._on_fill) + self.user: UserStream | None = None + + # per-market state + self.metas: dict[str, MarketMeta] = {} + self.profiles: dict[str, StrategyProfile] = {} + self.est: dict[str, MarketEstimators] = {} + self.regime_m: dict[str, RegimeMachine] = {} + self._dirty: dict[str, asyncio.Event] = {} + self._sweep: dict[str, bool] = {} + self._merging: set[str] = set() + self._token_cid: dict[str, str] = {} + self._tasks: list[asyncio.Task[Any]] = [] + + # ── lifecycle ─────────────────────────────────────────────────────── + async def start(self) -> None: + self._running = True + await self.gateway.connect() + await self._resolve_markets() + if not self.metas: + log.warning("no_markets_selected", hint="add markets to config/markets.toml, run `polymaker scan`") + await self._startup_reconcile() + + # subscribe feeds + self.md.set_markets([(cid, [m.yes.token_id, m.no.token_id]) for cid, m in self.metas.items()]) + self.user = UserStream( + self.gateway.creds, self.gateway.address, self.user_proc, + other_token=self._other_token, condition_of_token=self._cid_of_token, + journal=self.journal, proxy=self.cfg.proxy, + ) + self.user.set_markets(list(self.metas)) + + # launch tasks + self._tasks.append(asyncio.create_task(self.md.run(), name="market_ws")) + if not self.paper: + self._tasks.append(asyncio.create_task(self.user.run(), name="user_ws")) + self._tasks.append(asyncio.create_task(self._heartbeat_loop(), name="heartbeat")) + self._tasks.append(asyncio.create_task(self._reconcile_loop(), name="reconcile")) + for cid in self.metas: + self._tasks.append(asyncio.create_task(self._quoter(cid), name=f"quote:{cid[:8]}")) + self.risk.reset_day() + log.info("engine_started", markets=len(self.metas), paper=self.paper) + + async def run_forever(self) -> None: + await self.start() + with contextlib.suppress(asyncio.CancelledError): + await asyncio.gather(*self._tasks) + + async def shutdown(self) -> None: + self._running = False + log.info("engine_shutdown") + self.md.stop() + if self.user: + self.user.stop() + for t in self._tasks: + t.cancel() + with contextlib.suppress(Exception): + await self.gateway.cancel_all() + self.journal.close() + self.state.close() + self.catalog.close() + + # ── market resolution ─────────────────────────────────────────────── + async def _resolve_markets(self) -> None: + reward_rates: dict[str, float] | None = None + async with GammaClient(self.cfg.wallet.gamma_host) as gamma: + for entry in self.cfg.enabled_markets: + meta = self.catalog.get_by_slug(entry.slug) if entry.slug else None + if meta is None and entry.condition_id: + meta = self.catalog.get(entry.condition_id) + if meta is None: # fall back to a live Gamma fetch + if reward_rates is None: + reward_rates = await fetch_reward_rates(self.cfg.wallet.clob_host) + meta = await self._fetch_meta(gamma, entry.slug, entry.condition_id, reward_rates) + if meta is None: + log.warning("market_unresolved", ref=entry.ref) + continue + self.metas[meta.condition_id] = meta + self.profiles[meta.condition_id] = self.cfg.profile_for(entry) + self.est[meta.condition_id] = self._make_estimators(self.profiles[meta.condition_id]) + self.regime_m[meta.condition_id] = RegimeMachine() + self._dirty[meta.condition_id] = asyncio.Event() + for tok in (meta.yes.token_id, meta.no.token_id): + self._token_cid[tok] = meta.condition_id + + async def _fetch_meta( + self, gamma: GammaClient, slug: str | None, condition_id: str | None, + reward_rates: dict[str, float], + ) -> MarketMeta | None: + tag_id = self.catalog.cached_tag("politics") + async for raw in gamma.iter_markets(tag_id=tag_id, max_pages=25): + if (slug and raw.get("slug") == slug) or (condition_id and raw.get("conditionId") == condition_id): + m = parse_market(raw, reward_rates) + if m: + self.catalog.upsert_market(m) + return m + return None + + @staticmethod + def _make_estimators(p: StrategyProfile) -> MarketEstimators: + return MarketEstimators( + vol=VolEstimator(p.vol_short_halflife_s, p.vol_long_halflife_s), + flow=FlowEstimator(p.flow_ewma_halflife_s), + markout=MarkoutTracker(), + ) + + async def _startup_reconcile(self) -> None: + with contextlib.suppress(Exception): + await self.gateway.cancel_all() # clean slate; heartbeat covers crashes + positions = await self.gateway.positions() + if positions: + self.state.reconcile_positions(positions) + log.info("startup_positions", n=len(positions)) + + # ── callbacks ─────────────────────────────────────────────────────── + def _on_dirty(self, condition_id: str, token_id: str) -> None: + ev = self._dirty.get(condition_id) + if ev is not None: + ev.set() + + def _wake_cid(self, condition_id: str) -> None: + ev = self._dirty.get(condition_id) + if ev is not None: + ev.set() + + def _on_trade(self, tp: TradePrint) -> None: + cid = self._token_cid.get(tp.asset_id) + if cid is None: + return + self.est[cid].flow.update(tp.aggressor, tp.size, tp.ts) + # crude sweep flag: a single print larger than 3x base size + base = self.profiles[cid].base_size_usdc / max(tp.price, 0.01) + if tp.size >= 3 * base: + self._sweep[cid] = True + + def _on_fill(self, fill: Fill) -> None: + self.risk.note_fill(fill) + cid = self._token_cid.get(fill.token_id) + if cid is None: + return + est = self.est[cid] + fv = est.last_fv if est.last_fv is not None else fill.price + token_fv = fv if fill.token_id == self.metas[cid].yes.token_id else (1.0 - fv) + est.markout.record_fill(fill.side, token_fv, fill.ts) + + # ── quoter ────────────────────────────────────────────────────────── + async def _quoter(self, cid: str) -> None: + debounce = self.cfg.engine.debounce_ms / 1000.0 + ev = self._dirty[cid] + while self._running: + try: + await ev.wait() + await asyncio.sleep(debounce) # coalesce a burst of book updates + ev.clear() + await self._recompute(cid) + except asyncio.CancelledError: + break + except Exception as exc: # noqa: BLE001 + log.error("quoter_error", cid=cid[:8], err=str(exc)) + await asyncio.sleep(0.5) + + async def _recompute(self, cid: str) -> None: + meta = self.metas[cid] + p = self.profiles[cid] + yes_book = self.md.book(meta.yes.token_id) + no_book = self.md.book(meta.no.token_id) + if yes_book is None or yes_book.is_empty: + return + + now = time.time() + micro = yes_book.microprice(p.micro_levels) + if micro is None: + return + est = self.est[cid] + est.flow.decay_to(now) + fv = compute_fair_value(micro, est.flow.z, meta.tick_size) + prev_fv = est.last_fv + est.on_fair_value(fv, now) + + self.risk.update_mark(meta.yes.token_id, fv) + self.risk.update_mark(meta.no.token_id, 1.0 - fv) + + pos_yes = self.state.position(meta.yes.token_id) + pos_no = self.state.position(meta.no.token_id) + q_max = p.q_max_usdc + inv_util = abs(pos_yes.size - pos_no.size) * fv / q_max if q_max > 0 else 0.0 + hours_to_end = _hours_to_end(meta.end_date_iso, now) + ws_stale = (now - self.md.last_update_ts(meta.yes.token_id)) > self.cfg.risk.ws_stale_halt_s + + rd = self.risk.evaluate(meta, ws_stale=ws_stale, + event_group_cost=self._event_group_cost(meta)) + regime = self.regime_m[cid].decide( + RegimeInputs( + now=now, tick=meta.tick_size, fv=fv, prev_fv=prev_fv, + vol_ratio=est.vol.ratio, flow_z=est.flow.z, inventory_util=inv_util, + hours_to_end=hours_to_end, sweep_flagged=self._sweep.pop(cid, False), + ws_stale=ws_stale, risk_halt=rd.halt, risk_reduce_only=rd.reduce_only, + ), + p, + ) + + tq = construct_quotes(QuoteInputs( + meta=meta, regime=regime, fv=fv, vol_short=est.vol.short, + toxicity=est.markout.toxicity, yes_view=yes_book.view(), + no_view=(no_book.view() if no_book else _empty_view()), + pos_yes=pos_yes, pos_no=pos_no, profile=p, now=now, + risk_size_scale=rd.size_scale, + )) + + live = self.state.orders_for(meta.yes.token_id) + self.state.orders_for(meta.no.token_id) + plan = reconcile(tq, live, tick=meta.tick_size, + reprice_ticks=p.reprice_ticks, resize_frac=p.resize_frac) + if plan.is_noop: + self._maybe_merge(cid, meta, p, pos_yes.size, pos_no.size) + return + + if plan.to_cancel: + await self.gateway.cancel(plan.to_cancel) + for oid in plan.to_cancel: + self.state.remove_order(oid) + if plan.to_place: + placed = await self.gateway.place(plan.to_place, meta) + self.risk.note_order_result(bool(placed) or not plan.to_place) + for o in placed: + self.state.upsert_order(o) + log.info("requote", cid=cid[:8], regime=regime.value, fv=round(fv, 4), + place=len(plan.to_place), cancel=len(plan.to_cancel), + pos_yes=round(pos_yes.size, 1), pos_no=round(pos_no.size, 1)) + self._maybe_merge(cid, meta, p, pos_yes.size, pos_no.size) + + def _maybe_merge(self, cid: str, meta: MarketMeta, p: StrategyProfile, + yes_size: float, no_size: float) -> None: + amount = min(yes_size, no_size) + if amount < p.merge_min_size or cid in self._merging or self.paper: + return + self._merging.add(cid) + self._tasks.append(asyncio.create_task(self._merge_task(cid, meta, amount))) + + async def _merge_task(self, cid: str, meta: MarketMeta, amount: float) -> None: + try: + raw = int(amount * 1e6) + await asyncio.to_thread(self.merger.merge, meta.condition_id, raw, meta.neg_risk) + finally: + self._merging.discard(cid) + + # ── background loops ──────────────────────────────────────────────── + async def _heartbeat_loop(self) -> None: + if not self.cfg.engine.heartbeat: + return + while self._running: + await self.gateway.heartbeat() + await asyncio.sleep(self.cfg.engine.heartbeat_interval_s) + + async def _reconcile_loop(self) -> None: + while self._running: + await asyncio.sleep(self.cfg.engine.reconcile_interval_s) + try: + positions = await self.gateway.positions() + if positions: + self.state.reconcile_positions(positions) + live = await self.gateway.open_orders() + if live or not self.paper: + by_token: dict[str, list[Any]] = {} + for o in live: + by_token.setdefault(o.token_id, []).append(o) + for tok, orders in by_token.items(): + if self.state.inflight(tok) == 0: + self.state.replace_open_orders(tok, orders) + except Exception as exc: # noqa: BLE001 + log.warning("reconcile_error", err=str(exc)) + + # ── helpers ───────────────────────────────────────────────────────── + def _other_token(self, token_id: str) -> str | None: + cid = self._token_cid.get(token_id) + return self.metas[cid].other_token(token_id) if cid else None + + def _cid_of_token(self, token_id: str) -> str | None: + return self._token_cid.get(token_id) + + def _event_group_cost(self, meta: MarketMeta) -> float: + if not meta.event_id: + return 0.0 + cost = 0.0 + for m in self.metas.values(): + if m.event_id == meta.event_id: + for tok in (m.yes.token_id, m.no.token_id): + pos = self.state.position(tok) + cost += pos.size * pos.avg_price + return cost + + +def _hours_to_end(end_date_iso: str | None, now: float) -> float | None: + if not end_date_iso: + return None + try: + dt = datetime.fromisoformat(end_date_iso.replace("Z", "+00:00")) + return max(0.0, (dt.timestamp() - now) / 3600.0) + except (ValueError, TypeError): + return None + + +def _empty_view() -> Any: + from polymaker.marketdata.orderbook import BookView + + return BookView(None, 0.0, None, 0.0, None, None, 0.0, 0.0) diff --git a/poly_stats/__init__.py b/src/polymaker/execution/__init__.py similarity index 100% rename from poly_stats/__init__.py rename to src/polymaker/execution/__init__.py diff --git a/src/polymaker/execution/gateway.py b/src/polymaker/execution/gateway.py new file mode 100644 index 0000000..debdb47 --- /dev/null +++ b/src/polymaker/execution/gateway.py @@ -0,0 +1,287 @@ +"""ExecutionGateway: the only component that sends actions to the CLOB. + +Wraps the synchronous py-clob-client-v2 (which owns the hard V2 EIP-712 signing, +pUSD balance adjustment, and tick/fee caching) and offloads its blocking network +calls to a thread pool so the asyncio hot path never stalls. Every quote goes out +**post-only** (the maker-only mandate, enforced at the exchange). + +A `paper=True` gateway shares the same path but fabricates order ids instead of +posting — so paper mode exercises the full pipeline. +""" + +from __future__ import annotations + +import asyncio +import itertools +import time +from dataclasses import asdict +from typing import Any + +import httpx + +from polymaker.config import Config +from polymaker.domain import MarketMeta, OpenOrder, OrderState, Quote, Side +from polymaker.execution.ratelimit import TokenBucket +from polymaker.journal import Journal +from polymaker.logging import get_logger + +log = get_logger("execution.gateway") + + +def _tick_str(tick: float) -> str: + return f"{tick:g}" + + +class ExecutionGateway: + def __init__( + self, + cfg: Config, + journal: Journal | None = None, + *, + paper: bool = False, + ) -> None: + self._cfg = cfg + self._paper = paper + self._journal = journal + self._client: Any = None # py_clob_client_v2.ClobClient + self._creds: Any = None + self._address: str = "" # signer EOA + self._funder: str = "" # funds/positions live here (proxy/deposit wallet) + self._data_host = cfg.wallet.data_api_host + # rate budgets: fraction of documented POST/DELETE ceilings (per second) + f = cfg.execution.rate_budget_fraction + self._order_bucket = TokenBucket(rate_per_s=200.0 * f, burst=500.0 * f) + self._cancel_bucket = TokenBucket(rate_per_s=200.0 * f, burst=500.0 * f) + self._paper_ids = itertools.count(1) + + @property + def paper(self) -> bool: + return self._paper + + @property + def creds(self) -> Any: + return self._creds + + @property + def address(self) -> str: + """The signing EOA address.""" + return self._address + + @property + def funder(self) -> str: + """The address holding funds/positions (proxy/deposit wallet, or the EOA).""" + return self._funder or self._address + + # ── lifecycle ─────────────────────────────────────────────────────── + async def connect(self) -> None: + """Build the client and derive L2 API creds (network). No-op fields in paper.""" + sec = self._cfg.secrets + if self._paper and not sec.has_wallet: + # paper mode runs the full pipeline without a wallet (no orders posted) + self._address = sec.browser_address or "0xPAPER" + self._funder = sec.browser_address or self._address + log.info("gateway_connected", address=self._address[:10], paper=True) + return + if not sec.has_wallet: + raise RuntimeError("no wallet configured (set PK and BROWSER_ADDRESS in .env)") + + def _build() -> tuple[Any, Any, str]: + from py_clob_client_v2.client import ClobClient + + client = ClobClient( + host=self._cfg.wallet.clob_host, + chain_id=self._cfg.wallet.chain_id, + key=sec.pk, + signature_type=self._cfg.wallet.signature_type, + funder=sec.browser_address, + ) + creds = client.create_or_derive_api_key() + client.set_api_creds(creds) + return client, creds, client.get_address() + + self._client, self._creds, self._address = await asyncio.to_thread(_build) + # funds/positions live on the funder (proxy/deposit wallet); fall back to EOA + self._funder = sec.browser_address or self._address + log.info("gateway_connected", signer=self._address[:10], funder=self._funder[:10], + paper=self._paper) + + # ── placement ─────────────────────────────────────────────────────── + async def place(self, quotes: list[Quote], meta: MarketMeta) -> list[OpenOrder]: + if not quotes: + return [] + await self._order_bucket.acquire(len(quotes)) + ts = time.time() + self._journal_write("orders_out", [asdict(q) for q in quotes], ts) + + if self._paper: + return [self._paper_order(q) for q in quotes] + + def _place() -> list[OpenOrder]: + from py_clob_client_v2.clob_types import ( + OrderArgsV2, + OrderType, + PartialCreateOrderOptions, + PostOrdersV2Args, + ) + + opts = PartialCreateOrderOptions(tick_size=_tick_str(meta.tick_size), neg_risk=meta.neg_risk) + args = [] + for q in quotes: + signed = self._client.create_order( + OrderArgsV2(token_id=q.token_id, price=q.price, size=q.size, side=q.side.value), + options=opts, + ) + args.append(PostOrdersV2Args(order=signed, orderType=OrderType.GTC)) + resp = self._client.post_orders(args, post_only=self._cfg.execution.post_only) + return self._parse_place_response(resp, quotes) + + try: + return await asyncio.to_thread(_place) + except Exception as exc: # noqa: BLE001 - surface + continue; engine handles error rate + log.error("place_failed", err=str(exc), n=len(quotes)) + return [] + + def _paper_order(self, q: Quote) -> OpenOrder: + oid = f"paper-{next(self._paper_ids)}" + return OpenOrder(oid, q.token_id, q.side, q.price, q.size, OrderState.LIVE) + + def _parse_place_response(self, resp: Any, quotes: list[Quote]) -> list[OpenOrder]: + """Map a batch post response to OpenOrders. Tolerant of shape variants; + the user-WS order events + REST snapshot reconcile anything we miss.""" + items = resp if isinstance(resp, list) else resp.get("orders", resp.get("data", [])) + out: list[OpenOrder] = [] + for q, item in zip(quotes, items if isinstance(items, list) else [], strict=False): + oid = _first(item, "orderID", "orderId", "order_id", "id", "hash") + if not oid: + log.warning("place_response_missing_id", item=str(item)[:120]) + continue + out.append(OpenOrder(str(oid), q.token_id, q.side, q.price, q.size, OrderState.LIVE)) + return out + + # ── cancellation ──────────────────────────────────────────────────── + async def cancel(self, order_ids: list[str]) -> None: + if not order_ids or self._paper: + return + await self._cancel_bucket.acquire(1) + + def _cancel() -> None: + self._client.cancel_orders(order_ids) + + try: + await asyncio.to_thread(_cancel) + except Exception as exc: # noqa: BLE001 + log.error("cancel_failed", err=str(exc), n=len(order_ids)) + + async def cancel_asset(self, asset_id: str) -> None: + if self._paper: + return + + def _cancel() -> None: + from py_clob_client_v2.clob_types import OrderMarketCancelParams + + self._client.cancel_market_orders(OrderMarketCancelParams(asset_id=asset_id)) + + await asyncio.to_thread(_cancel) + + async def cancel_all(self) -> None: + if self._paper or self._client is None: + return + await asyncio.to_thread(self._client.cancel_all) + log.info("cancel_all_sent") + + # ── heartbeat (dead-man switch) ───────────────────────────────────── + async def heartbeat(self, hb_id: str = "") -> None: + if self._paper or self._client is None: + return + try: + await asyncio.to_thread(self._client.post_heartbeat, hb_id) + except Exception as exc: # noqa: BLE001 + log.warning("heartbeat_failed", err=str(exc)) + + # ── reads ─────────────────────────────────────────────────────────── + async def open_orders(self) -> list[OpenOrder]: + if self._paper or self._client is None: + return [] + + def _get() -> list[OpenOrder]: + raw = self._client.get_open_orders() + rows = raw if isinstance(raw, list) else raw.get("data", raw.get("orders", [])) + out = [] + for r in rows: + try: + side = Side(str(r["side"]).upper()) + remaining = float(r.get("original_size", r.get("size", 0))) - float( + r.get("size_matched", 0) + ) + out.append( + OpenOrder( + str(_first(r, "id", "orderID", "order_id")), + str(r["asset_id"]), + side, + float(r["price"]), + remaining, + OrderState.LIVE, + ) + ) + except (KeyError, ValueError, TypeError): + continue + return out + + try: + return await asyncio.to_thread(_get) + except Exception as exc: # noqa: BLE001 + log.warning("open_orders_failed", err=str(exc)) + return [] + + async def positions(self) -> dict[str, tuple[float, float]]: + """{token_id: (size, avg_price)} from the data API (reconcile use). + + Queries the FUNDER (where positions live), not the signer EOA. + """ + user = self.funder + if not user or not user.startswith("0x") or user == "0xPAPER": + return {} + try: + async with httpx.AsyncClient(timeout=15.0) as c: + r = await c.get(f"{self._data_host}/positions", params={"user": user}) + r.raise_for_status() + return { + str(p["asset"]): (float(p["size"]), float(p.get("avgPrice", 0))) + for p in r.json() + if float(p.get("size", 0)) > 0 + } + except (httpx.HTTPError, KeyError, ValueError) as exc: + log.warning("positions_failed", err=str(exc)) + return {} + + async def balance_allowance(self) -> dict[str, Any]: + """Collateral balance/allowance snapshot (for `doctor`).""" + if self._client is None: + return {} + + def _get() -> dict[str, Any]: + from py_clob_client_v2.clob_types import AssetType, BalanceAllowanceParams + + result: dict[str, Any] = self._client.get_balance_allowance( + BalanceAllowanceParams(asset_type=AssetType.COLLATERAL) + ) + return result + + try: + return await asyncio.to_thread(_get) + except Exception as exc: # noqa: BLE001 + log.warning("balance_allowance_failed", err=str(exc)) + return {} + + def _journal_write(self, kind: str, payload: Any, ts: float) -> None: + if self._journal is not None: + self._journal.write(kind, payload, ts) + + +def _first(d: Any, *keys: str) -> Any: + if not isinstance(d, dict): + return None + for k in keys: + if k in d and d[k]: + return d[k] + return None diff --git a/src/polymaker/execution/ratelimit.py b/src/polymaker/execution/ratelimit.py new file mode 100644 index 0000000..01003ae --- /dev/null +++ b/src/polymaker/execution/ratelimit.py @@ -0,0 +1,42 @@ +"""Async token-bucket rate budgeter. + +The CLOB API throttles (queues) excess requests rather than 429-ing, so the real +risk is silent latency injection when the market is moving. We self-limit to a +fraction of the documented ceilings and expose pressure as a signal so the +engine can shed low-edge reprices first. +""" + +from __future__ import annotations + +import asyncio +import time + + +class TokenBucket: + def __init__(self, rate_per_s: float, burst: float | None = None) -> None: + self.rate = max(rate_per_s, 0.001) + self.capacity = burst if burst is not None else max(1.0, rate_per_s) + self._tokens = self.capacity + self._last = time.monotonic() + self._lock = asyncio.Lock() + + def _refill(self) -> None: + now = time.monotonic() + self._tokens = min(self.capacity, self._tokens + (now - self._last) * self.rate) + self._last = now + + async def acquire(self, n: float = 1.0) -> None: + async with self._lock: + while True: + self._refill() + if self._tokens >= n: + self._tokens -= n + return + deficit = n - self._tokens + await asyncio.sleep(deficit / self.rate) + + @property + def pressure(self) -> float: + """0 = plenty of budget, 1 = empty (callers about to wait).""" + self._refill() + return 1.0 - min(1.0, self._tokens / self.capacity) diff --git a/src/polymaker/execution/reconciler.py b/src/polymaker/execution/reconciler.py new file mode 100644 index 0000000..cfa6541 --- /dev/null +++ b/src/polymaker/execution/reconciler.py @@ -0,0 +1,64 @@ +"""Pure reconciliation: desired TargetQuotes vs live orders -> minimal actions. + +The strategy emits a target quote set; this computes the smallest cancel/place +set to reach it, applying churn tolerances so we don't burn queue position for +sub-tick or sub-threshold size changes (v1's should_cancel instinct, generalized). +No I/O — the gateway executes the returned plan. +""" + +from __future__ import annotations + +from collections import defaultdict +from dataclasses import dataclass, field + +from polymaker.domain import OpenOrder, Quote, TargetQuotes + +_EPS = 1e-9 + + +@dataclass(frozen=True, slots=True) +class ReconcilePlan: + to_cancel: list[str] = field(default_factory=list) # order ids + to_place: list[Quote] = field(default_factory=list) + + @property + def is_noop(self) -> bool: + return not self.to_cancel and not self.to_place + + +def reconcile( + targets: TargetQuotes, + live: list[OpenOrder], + *, + tick: float, + reprice_ticks: int, + resize_frac: float, +) -> ReconcilePlan: + """Diff targets against live orders. Keep live orders that already satisfy a + target within tolerance; cancel the rest; place targets with no match.""" + live_by_key: dict[tuple[str, str], list[OpenOrder]] = defaultdict(list) + for o in live: + live_by_key[(o.token_id, o.side.value)].append(o) + + keep: set[str] = set() + to_place: list[Quote] = [] + price_tol = reprice_ticks * tick + _EPS + + for q in targets.quotes: + candidates = live_by_key.get((q.token_id, q.side.value), []) + match: OpenOrder | None = None + for o in candidates: + if o.order_id in keep: + continue + price_close = abs(o.price - q.price) <= price_tol + size_close = q.size <= 0 or abs(o.size - q.size) <= resize_frac * q.size + _EPS + if price_close and size_close: + match = o + break + if match is not None: + keep.add(match.order_id) + else: + to_place.append(q) + + to_cancel = [o.order_id for o in live if o.order_id not in keep] + return ReconcilePlan(to_cancel=to_cancel, to_place=to_place) diff --git a/src/polymaker/journal.py b/src/polymaker/journal.py new file mode 100644 index 0000000..12d9b5e --- /dev/null +++ b/src/polymaker/journal.py @@ -0,0 +1,32 @@ +"""Append-only JSONL event journal. + +Captures raw WS-in and orders-out so the replay backtester (see the README) can +reconstruct books and re-run the strategy. Also the substrate for post-mortems. +Cheap: one line per event, flushed, rotated by day. +""" + +from __future__ import annotations + +import json +from pathlib import Path +from typing import Any + + +class Journal: + def __init__(self, directory: str | Path, *, enabled: bool = True, day: str = "live") -> None: + self.enabled = enabled + self._fh = None + if enabled: + d = Path(directory) + d.mkdir(parents=True, exist_ok=True) + self._fh = (d / f"{day}.jsonl").open("a", buffering=1) + + def write(self, kind: str, payload: Any, ts: float) -> None: + if not self.enabled or self._fh is None: + return + self._fh.write(json.dumps({"ts": ts, "kind": kind, "data": payload}, default=str) + "\n") + + def close(self) -> None: + if self._fh is not None: + self._fh.close() + self._fh = None diff --git a/src/polymaker/livetest.py b/src/polymaker/livetest.py new file mode 100644 index 0000000..50eaed4 --- /dev/null +++ b/src/polymaker/livetest.py @@ -0,0 +1,94 @@ +"""Live wallet round-trip test — the Phase-2 wallet spike (see the README). + +Proves the full V2 order path against the real exchange with minimal risk: +places ONE post-only BUY well below the touch (so it rests and cannot fill), +confirms it appears in open orders, then cancels it. Post-only guarantees it +never takes; the deep price + immediate cancel means ~zero economic risk. + +This is where the known py-clob-client-v2 signature-type-2 (Safe/proxy) issues +would surface — the command reports each step so failures are diagnosable. +""" + +from __future__ import annotations + +import asyncio + +from rich.console import Console + +from polymaker.config import Config +from polymaker.domain import Quote, Side +from polymaker.execution.gateway import ExecutionGateway + + +async def run_livetest(cfg: Config, console: Console, notional_usdc: float = 5.0) -> bool: + from polymaker.catalog.store import CatalogStore + + if not cfg.secrets.has_wallet: + console.print("[red]No wallet in .env. Set PK and BROWSER_ADDRESS first.[/red]") + return False + + # pick a liquid market from the catalog (or fall back to a live scan) + store = CatalogStore(cfg.paths.db) + rows = store.top(20) + store.close() + if not rows: + console.print("[yellow]Catalog empty — run `polymaker scan` first.[/yellow]") + return False + # choose a market with a mid comfortably in (0.15, 0.85) so a deep bid is valid + meta = None + for m, _sc in rows: + mid = (m.best_bid + m.best_ask) / 2 if (m.best_bid and m.best_ask) else 0.0 + if 0.15 < mid < 0.85: + meta = m + break + meta = meta or rows[0][0] + + console.print(f"[bold]Live round-trip test[/bold] on: {meta.question[:60]}") + gw = ExecutionGateway(cfg) + try: + await gw.connect() + console.print(f" [green]✓[/green] wallet auth — address {gw.address[:12]}…") + except Exception as e: # noqa: BLE001 + console.print(f" [red]✗ wallet auth failed:[/red] {e}") + console.print(" [yellow]Auth/signature-type mismatch (see the README). If your account has a " + "'deposit address', set signature_type=3 (POLY_1271) in config.toml and use the " + "deposit address as BROWSER_ADDRESS. Errors like 'maker address not allowed, use " + "the deposit wallet flow' or 'signer must be the API key address' mean the type is " + "wrong for this wallet.[/yellow]") + return False + + ba = await gw.balance_allowance() + console.print(f" balance/allowance: {ba}") + + # a deep resting price: well below best bid, snapped to tick, floored at 2 ticks + tick = meta.tick_size + best_bid = meta.best_bid or 0.30 + price = max(2 * tick, round((best_bid - 0.10) / tick) * tick) + size = round(max(meta.min_order_size, notional_usdc / price), 2) + console.print(f" placing post-only BUY {size} @ {price} on YES token " + f"(~${price * size:.2f}, deep — will not fill)") + + placed = await gw.place([Quote(meta.yes.token_id, Side.BUY, price, size)], meta) + if not placed: + console.print(" [red]✗ order not placed (see logs for the API error)[/red]") + return False + oid = placed[0].order_id + console.print(f" [green]✓[/green] placed — order id {oid[:16]}…") + + await asyncio.sleep(2.0) + live = await gw.open_orders() + found = any(o.order_id == oid for o in live) + console.print(f" [{'green' if found else 'yellow'}]{'✓' if found else '?'}[/] " + f"read back open orders: {len(live)} live, ours {'present' if found else 'not seen yet'}") + + await gw.cancel([oid]) + console.print(" [green]✓[/green] cancel sent") + await asyncio.sleep(1.5) + after = await gw.open_orders() + still = any(o.order_id == oid for o in after) + console.print(f" [{'green' if not still else 'red'}]{'✓' if not still else '✗'}[/] " + f"order {'cancelled' if not still else 'STILL LIVE — cancel manually!'}") + + ok = bool(placed) and not still + console.print(f"\n[bold]{'ROUND-TRIP OK' if ok else 'CHECK LOGS'}[/bold]") + return ok diff --git a/src/polymaker/logging.py b/src/polymaker/logging.py new file mode 100644 index 0000000..700d496 --- /dev/null +++ b/src/polymaker/logging.py @@ -0,0 +1,66 @@ +"""structlog configuration: human console in dev, JSON to file in prod.""" + +from __future__ import annotations + +import logging +import sys +from pathlib import Path +from typing import Any + +import structlog + + +def configure( + *, + level: str = "INFO", + json_file: Path | None = None, + console: bool = True, +) -> None: + """Set up structlog + stdlib logging once at process start.""" + shared: list[Any] = [ + structlog.contextvars.merge_contextvars, + structlog.processors.add_log_level, + structlog.processors.TimeStamper(fmt="iso", utc=True), + structlog.processors.StackInfoRenderer(), + structlog.processors.format_exc_info, + ] + + structlog.configure( + processors=[*shared, structlog.stdlib.ProcessorFormatter.wrap_for_formatter], + logger_factory=structlog.stdlib.LoggerFactory(), + wrapper_class=structlog.stdlib.BoundLogger, + cache_logger_on_first_use=True, + ) + + root = logging.getLogger() + root.handlers.clear() + root.setLevel(level) + + if console: + ch = logging.StreamHandler(sys.stderr) + ch.setFormatter( + structlog.stdlib.ProcessorFormatter( + processors=[ + structlog.stdlib.ProcessorFormatter.remove_processors_meta, + structlog.dev.ConsoleRenderer(colors=sys.stderr.isatty()), + ] + ) + ) + root.addHandler(ch) + + if json_file is not None: + json_file.parent.mkdir(parents=True, exist_ok=True) + fh = logging.FileHandler(json_file) + fh.setFormatter( + structlog.stdlib.ProcessorFormatter( + processors=[ + structlog.stdlib.ProcessorFormatter.remove_processors_meta, + structlog.processors.JSONRenderer(), + ] + ) + ) + root.addHandler(fh) + + +def get_logger(name: str) -> structlog.stdlib.BoundLogger: + return structlog.get_logger(name) # type: ignore[no-any-return] diff --git a/poly_utils/__init__.py b/src/polymaker/marketdata/__init__.py similarity index 100% rename from poly_utils/__init__.py rename to src/polymaker/marketdata/__init__.py diff --git a/src/polymaker/marketdata/orderbook.py b/src/polymaker/marketdata/orderbook.py new file mode 100644 index 0000000..474dbde --- /dev/null +++ b/src/polymaker/marketdata/orderbook.py @@ -0,0 +1,209 @@ +"""Order book maintenance and analytics for a single market. + +We keep the YES-token book canonical (bids/asks as SortedDicts keyed by price). +The NO-token view is derived by the identity no_price = 1 - yes_price, with +bids/asks swapped — so we only ever maintain one book per market. + +All methods are synchronous and side-effect-free reads except the explicit +apply_* mutators. Nothing here does I/O; the WS layer drives it. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from sortedcontainers import SortedDict + +from polymaker.domain import Side + + +@dataclass(frozen=True, slots=True) +class BookLevel: + price: float + size: float + + +@dataclass(frozen=True, slots=True) +class BookView: + """A resolved best/second/depth snapshot for one outcome token.""" + + best_bid: float | None + best_bid_size: float + best_ask: float | None + best_ask_size: float + second_bid: float | None + second_ask: float | None + bid_depth: float # summed size within band, bid side + ask_depth: float # summed size within band, ask side + + @property + def mid(self) -> float | None: + if self.best_bid is None or self.best_ask is None: + return None + return (self.best_bid + self.best_ask) / 2.0 + + @property + def spread(self) -> float | None: + if self.best_bid is None or self.best_ask is None: + return None + return self.best_ask - self.best_bid + + @property + def imbalance(self) -> float: + """(bid_depth - ask_depth) / total in [-1, 1]; 0 if empty.""" + total = self.bid_depth + self.ask_depth + return (self.bid_depth - self.ask_depth) / total if total > 0 else 0.0 + + +class OrderBook: + """YES-canonical L2 book for one market.""" + + __slots__ = ("bids", "asks", "tick_size", "last_update_ts", "book_hash") + + def __init__(self, tick_size: float = 0.001) -> None: + # price -> size. bids and asks both ascending in price. + self.bids: SortedDict[float, float] = SortedDict() + self.asks: SortedDict[float, float] = SortedDict() + self.tick_size = tick_size + self.last_update_ts: float = 0.0 + self.book_hash: str | None = None + + # ── mutation ──────────────────────────────────────────────────────── + def apply_snapshot( + self, + bids: list[tuple[float, float]], + asks: list[tuple[float, float]], + ts: float, + book_hash: str | None = None, + ) -> None: + self.bids = SortedDict({p: s for p, s in bids if s > 0}) + self.asks = SortedDict({p: s for p, s in asks if s > 0}) + self.last_update_ts = ts + self.book_hash = book_hash + + def apply_delta(self, side: Side, price: float, size: float, ts: float) -> None: + book = self.bids if side is Side.BUY else self.asks + if size <= 0: + book.pop(price, None) + else: + book[price] = size + self.last_update_ts = ts + + def set_tick_size(self, tick_size: float) -> None: + self.tick_size = tick_size + + @property + def is_empty(self) -> bool: + return len(self.bids) == 0 or len(self.asks) == 0 + + # ── raw best (YES side) ───────────────────────────────────────────── + def best_bid(self) -> BookLevel | None: + if not self.bids: + return None + p = self.bids.peekitem(-1) # highest bid + return BookLevel(p[0], p[1]) + + def best_ask(self) -> BookLevel | None: + if not self.asks: + return None + p = self.asks.peekitem(0) # lowest ask + return BookLevel(p[0], p[1]) + + # ── analytics ─────────────────────────────────────────────────────── + def microprice(self, levels: int = 3) -> float | None: + """Depth-weighted mid over the top `levels`, pulled toward the thin side. + + Uses size at the opposite side as the weight for each price (standard + microprice intuition: price is dragged toward the side with less size). + Returns None if either side is empty. + """ + bb = self.best_bid() + ba = self.best_ask() + if bb is None or ba is None: + return None + bid_sz = self._top_size(self.bids, levels, from_high=True) + ask_sz = self._top_size(self.asks, levels, from_high=False) + total = bid_sz + ask_sz + if total <= 0: + return (bb.price + ba.price) / 2.0 + # weight best_ask by bid size and best_bid by ask size + return (ba.price * bid_sz + bb.price * ask_sz) / total + + def best_with_min_size( + self, side: Side, min_size: float + ) -> tuple[float | None, float, float | None]: + """First level (from the touch) with size > min_size. + + Returns (price, size, top_price) where top_price is the actual touch + (used to detect dust at the front). Mirrors v1's find_best_price_with_size + but without the second-best bookkeeping the new strategy doesn't need. + """ + if side is Side.BUY: + items = reversed(self.bids.items()) # high -> low + else: + items = iter(self.asks.items()) # low -> high + top_price: float | None = None + for price, size in items: + if top_price is None: + top_price = price + if size > min_size: + return price, size, top_price + return None, 0.0, top_price + + def depth_within(self, side: Side, lo: float, hi: float) -> float: + """Sum of sizes with price in [lo, hi] on the given side.""" + book = self.bids if side is Side.BUY else self.asks + # SortedDict.irange gives keys in [lo, hi] + return float(sum(book[p] for p in book.irange(lo, hi))) + + def view(self, band_frac: float = 0.05, min_size: float = 0.0) -> BookView: + """Resolved YES-side view with best/second and in-band depth.""" + bb = self._nth_bid(0, min_size) + ba = self._nth_ask(0, min_size) + sb = self._nth_bid(1, min_size) + sa = self._nth_ask(1, min_size) + mid = None + bid_depth = ask_depth = 0.0 + if bb is not None and ba is not None: + mid = (bb.price + ba.price) / 2.0 + bid_depth = self.depth_within(Side.BUY, bb.price, mid * (1 + band_frac)) + ask_depth = self.depth_within(Side.SELL, mid * (1 - band_frac), ba.price) + return BookView( + best_bid=bb.price if bb else None, + best_bid_size=bb.size if bb else 0.0, + best_ask=ba.price if ba else None, + best_ask_size=ba.size if ba else 0.0, + second_bid=sb.price if sb else None, + second_ask=sa.price if sa else None, + bid_depth=bid_depth, + ask_depth=ask_depth, + ) + + # ── internals ─────────────────────────────────────────────────────── + def _nth_bid(self, n: int, min_size: float) -> BookLevel | None: + count = 0 + for price in reversed(self.bids): + if self.bids[price] > min_size: + if count == n: + return BookLevel(price, self.bids[price]) + count += 1 + return None + + def _nth_ask(self, n: int, min_size: float) -> BookLevel | None: + count = 0 + for price in self.asks: + if self.asks[price] > min_size: + if count == n: + return BookLevel(price, self.asks[price]) + count += 1 + return None + + @staticmethod + def _top_size(book: SortedDict[float, float], levels: int, *, from_high: bool) -> float: + keys = list(reversed(book)) if from_high else list(book) + return float(sum(book[k] for k in keys[:levels])) + + +def to_no_price(yes_price: float) -> float: + """Convert a YES price to the equivalent NO price.""" + return 1.0 - yes_price diff --git a/src/polymaker/marketdata/parse.py b/src/polymaker/marketdata/parse.py new file mode 100644 index 0000000..f64d055 --- /dev/null +++ b/src/polymaker/marketdata/parse.py @@ -0,0 +1,136 @@ +"""Pure parsers for market-WS wire messages -> structured updates. + +Kept separate from the socket so they're unit-testable against captured frames. +Verified against live frames on 2026-07-05 (the README): + + book: {market, asset_id, bids:[{price,size}], asks:[...], timestamp, hash, tick_size} + price_change:{market, timestamp, price_changes:[{asset_id, price, size, side, hash}]} + last_trade_price:{market, asset_id, price, size, side, timestamp, fee_rate_bps} + tick_size_change:{market, asset_id, old_tick_size, new_tick_size} +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any + +from polymaker.domain import Side + + +@dataclass(frozen=True, slots=True) +class BookUpdate: + asset_id: str + condition_id: str + bids: list[tuple[float, float]] + asks: list[tuple[float, float]] + ts: float + book_hash: str | None + tick_size: float | None + + +@dataclass(frozen=True, slots=True) +class PriceChange: + asset_id: str + condition_id: str + side: Side # BUY -> bid side, SELL -> ask side + price: float + size: float + ts: float + + +@dataclass(frozen=True, slots=True) +class TradePrint: + asset_id: str + condition_id: str + aggressor: Side + price: float + size: float + ts: float + + +@dataclass(frozen=True, slots=True) +class TickSizeChange: + asset_id: str + tick_size: float + + +def _ts(msg: dict[str, Any]) -> float: + raw = msg.get("timestamp") + if raw is None: + return 0.0 + try: + v = float(raw) + return v / 1000.0 if v > 1e12 else v # ms -> s + except (ValueError, TypeError): + return 0.0 + + +def _levels(items: Any) -> list[tuple[float, float]]: + out: list[tuple[float, float]] = [] + for it in items or []: + try: + out.append((float(it["price"]), float(it["size"]))) + except (KeyError, ValueError, TypeError): + continue + return out + + +def parse_book(msg: dict[str, Any]) -> BookUpdate | None: + try: + tick = msg.get("tick_size") + return BookUpdate( + asset_id=str(msg["asset_id"]), + condition_id=str(msg.get("market", "")), + bids=_levels(msg.get("bids")), + asks=_levels(msg.get("asks")), + ts=_ts(msg), + book_hash=msg.get("hash"), + tick_size=float(tick) if tick is not None else None, + ) + except (KeyError, ValueError, TypeError): + return None + + +def parse_price_changes(msg: dict[str, Any]) -> list[PriceChange]: + out: list[PriceChange] = [] + ts = _ts(msg) + cond = str(msg.get("market", "")) + for ch in msg.get("price_changes", []) or []: + try: + out.append( + PriceChange( + asset_id=str(ch["asset_id"]), + condition_id=cond, + side=Side(str(ch["side"]).upper()), + price=float(ch["price"]), + size=float(ch["size"]), + ts=ts, + ) + ) + except (KeyError, ValueError, TypeError): + continue + return out + + +def parse_last_trade(msg: dict[str, Any]) -> TradePrint | None: + try: + return TradePrint( + asset_id=str(msg["asset_id"]), + condition_id=str(msg.get("market", "")), + aggressor=Side(str(msg.get("side", "BUY")).upper()), + price=float(msg["price"]), + size=float(msg["size"]), + ts=_ts(msg), + ) + except (KeyError, ValueError, TypeError): + return None + + +def parse_tick_size_change(msg: dict[str, Any]) -> TickSizeChange | None: + try: + tick = msg.get("new_tick_size", msg.get("tick_size")) + if tick is None: + return None + return TickSizeChange(asset_id=str(msg["asset_id"]), tick_size=float(tick)) + except (KeyError, ValueError, TypeError): + return None diff --git a/src/polymaker/marketdata/service.py b/src/polymaker/marketdata/service.py new file mode 100644 index 0000000..74da881 --- /dev/null +++ b/src/polymaker/marketdata/service.py @@ -0,0 +1,185 @@ +"""MarketDataService: owns the market WS, maintains a book per token. + +Subscribes to every YES+NO token of the markets we quote and routes each frame +to that token's OrderBook. We do NOT set `custom_feature_enabled` (verified to +broaden the feed beyond our assets); resolution is detected via catalog flags. + +On every book mutation it wakes the owning market's quoter via `on_dirty`, and +feeds trade prints to `on_trade` for the flow estimator. Reconnects re-snapshot +automatically because the server sends a fresh `book` on (re)subscribe. +""" + +from __future__ import annotations + +import asyncio +import json +from collections.abc import Callable +from typing import Any + +import websockets + +from polymaker.journal import Journal +from polymaker.logging import get_logger +from polymaker.marketdata.orderbook import BookView, OrderBook +from polymaker.marketdata.parse import ( + TradePrint, + parse_book, + parse_last_trade, + parse_price_changes, + parse_tick_size_change, +) + +log = get_logger("marketdata.service") + +DirtyCb = Callable[[str, str], None] # (condition_id, token_id) +TradeCb = Callable[[TradePrint], None] + + +class MarketDataService: + def __init__( + self, + url: str = "wss://ws-subscriptions-clob.polymarket.com/ws/market", + *, + on_dirty: DirtyCb | None = None, + on_trade: TradeCb | None = None, + journal: Journal | None = None, + proxy: str | None = None, + ) -> None: + self._url = url + self._on_dirty = on_dirty or (lambda _c, _t: None) + self._on_trade = on_trade or (lambda _tp: None) + self._journal = journal + self._proxy = proxy + self.books: dict[str, OrderBook] = {} + self._token_condition: dict[str, str] = {} + self._subs: list[str] = [] + self._ws: Any = None + self._stop = asyncio.Event() + + # ── subscription management ───────────────────────────────────────── + def set_markets(self, markets: list[tuple[str, list[str]]]) -> None: + """markets = [(condition_id, [token_ids...])]. Rebuilds the desired set.""" + subs: list[str] = [] + for cond, tokens in markets: + for tok in tokens: + self._token_condition[tok] = cond + self.books.setdefault(tok, OrderBook()) + subs.append(tok) + self._subs = subs + + def view(self, token_id: str) -> BookView: + book = self.books.get(token_id) + return book.view() if book else _empty_view() + + def book(self, token_id: str) -> OrderBook | None: + return self.books.get(token_id) + + def last_update_ts(self, token_id: str) -> float: + b = self.books.get(token_id) + return b.last_update_ts if b else 0.0 + + # ── run loop ──────────────────────────────────────────────────────── + async def run(self) -> None: + backoff = 1.0 + while not self._stop.is_set(): + try: + await self._connect_and_listen() + backoff = 1.0 + except (websockets.ConnectionClosed, OSError) as exc: + log.warning("market_ws_dropped", err=str(exc), backoff=backoff) + except Exception as exc: # noqa: BLE001 + log.error("market_ws_error", err=str(exc)) + if self._stop.is_set(): + break + await asyncio.sleep(backoff) + backoff = min(backoff * 2, 30.0) + + async def _connect_and_listen(self) -> None: + if not self._subs: + await asyncio.sleep(1.0) + return + kwargs: dict[str, Any] = {"ping_interval": 5, "ping_timeout": None} + if self._proxy: + kwargs["proxy"] = self._proxy + async with websockets.connect(self._url, **kwargs) as ws: + self._ws = ws + await ws.send(json.dumps({"assets_ids": self._subs, "type": "market"})) + log.info("market_ws_subscribed", n=len(self._subs)) + async for raw in ws: + self._handle(raw) + + def stop(self) -> None: + self._stop.set() + + # ── message handling ──────────────────────────────────────────────── + def _handle(self, raw: str | bytes) -> None: + try: + data = json.loads(raw) + except (json.JSONDecodeError, TypeError): + return + for msg in data if isinstance(data, list) else [data]: + if not isinstance(msg, dict): + continue + self._dispatch(msg) + + def _dispatch(self, msg: dict[str, Any]) -> None: + et = msg.get("event_type") + if et == "book": + self._on_book(msg) + elif et == "price_change": + self._on_price_change(msg) + elif et == "last_trade_price": + self._on_last_trade(msg) + elif et == "tick_size_change": + self._on_tick_change(msg) + + def _on_book(self, msg: dict[str, Any]) -> None: + upd = parse_book(msg) + if upd is None or upd.asset_id not in self.books: + return + book = self.books[upd.asset_id] + if upd.tick_size: + book.set_tick_size(upd.tick_size) + book.apply_snapshot(upd.bids, upd.asks, upd.ts, upd.book_hash) + self._journal_write("book", msg, upd.ts) + self._wake(upd.asset_id) + + def _on_price_change(self, msg: dict[str, Any]) -> None: + changes = parse_price_changes(msg) + touched: set[str] = set() + for ch in changes: + book = self.books.get(ch.asset_id) + if book is None: + continue + book.apply_delta(ch.side, ch.price, ch.size, ch.ts) + touched.add(ch.asset_id) + if changes: + self._journal_write("price_change", msg, changes[0].ts) + for tok in touched: + self._wake(tok) + + def _on_last_trade(self, msg: dict[str, Any]) -> None: + tp = parse_last_trade(msg) + if tp is None or tp.asset_id not in self.books: + return + self._journal_write("last_trade_price", msg, tp.ts) + self._on_trade(tp) + + def _on_tick_change(self, msg: dict[str, Any]) -> None: + tc = parse_tick_size_change(msg) + if tc and tc.asset_id in self.books: + self.books[tc.asset_id].set_tick_size(tc.tick_size) + log.info("tick_size_change", token=tc.asset_id[:12], tick=tc.tick_size) + + def _wake(self, token_id: str) -> None: + cond = self._token_condition.get(token_id) + if cond: + self._on_dirty(cond, token_id) + + def _journal_write(self, kind: str, payload: dict[str, Any], ts: float) -> None: + if self._journal is not None: + self._journal.write(kind, payload, ts) + + +def _empty_view() -> BookView: + return BookView(None, 0.0, None, 0.0, None, None, 0.0, 0.0) diff --git a/src/polymaker/merge.py b/src/polymaker/merge.py new file mode 100644 index 0000000..8a003f2 --- /dev/null +++ b/src/polymaker/merge.py @@ -0,0 +1,142 @@ +"""Native Python position merger (replaces the Node.js poly_merger subprocess). + +When we hold both YES and NO in the same market, merging the pair returns +collateral (1 USDC/pUSD per pair) — a maker-only exit with zero market impact. + +Two execution paths: + * EOA wallet (signature_type=0): direct contract call, fully implemented here. + * Proxy/Safe wallet (signature_type 1/2): the merge tx must be routed through + the Safe. That path is gated on the Phase-2 wallet spike (see the README) — until + then merging is skipped (logged), and inventory is exited via limit sells + instead. The bot is fully functional without it; merging just frees capital + sooner. + +The V2/pUSD collateral question (does the CTF collateral resolve to pUSD post- +migration?) is also spike-gated; addresses are config-driven, not baked in. +""" + +from __future__ import annotations + +from typing import Any + +from polymaker.config import Config +from polymaker.logging import get_logger + +log = get_logger("merge") + +# Polygon mainnet contracts (pre-V2 defaults; confirm collateral in the spike). +CONDITIONAL_TOKENS = "0x4D97DCd97eC945f40cF65F87097ACe5EA0476045" +NEG_RISK_ADAPTER = "0xd91E80cF2E7be2e162c6513ceD06f1dD0dA35296" +USDC_COLLATERAL = "0x2791Bca1f2de4661ED88A30C99A7a9449Aa84174" + +_CTF_ABI = [ + { + "name": "mergePositions", + "type": "function", + "stateMutability": "nonpayable", + "inputs": [ + {"name": "collateralToken", "type": "address"}, + {"name": "parentCollectionId", "type": "bytes32"}, + {"name": "conditionId", "type": "bytes32"}, + {"name": "partition", "type": "uint256[]"}, + {"name": "amount", "type": "uint256"}, + ], + "outputs": [], + } +] +_NEG_RISK_ABI = [ + { + "name": "mergePositions", + "type": "function", + "stateMutability": "nonpayable", + "inputs": [ + {"name": "conditionId", "type": "bytes32"}, + {"name": "amount", "type": "uint256"}, + ], + "outputs": [], + } +] + + +class Merger: + def __init__(self, cfg: Config) -> None: + self._cfg = cfg + self._w3: Any = None + self._account: Any = None + + def _ensure_web3(self) -> None: + if self._w3 is not None: + return + from eth_account import Account + from web3 import Web3 + from web3.middleware import ExtraDataToPOAMiddleware + + rpc = self._cfg.secrets.polygon_rpc or self._cfg.wallet.polygon_rpc + w3 = Web3(Web3.HTTPProvider(rpc)) + w3.middleware_onion.inject(ExtraDataToPOAMiddleware, layer=0) + self._w3 = w3 + self._account = Account.from_key(self._cfg.secrets.pk) + + @property + def can_merge(self) -> bool: + """EOA can merge directly today; Safe/proxy is spike-gated.""" + return self._cfg.wallet.signature_type == 0 + + def merge(self, condition_id: str, amount_raw: int, neg_risk: bool) -> str | None: + """Merge `amount_raw` (6-dec) YES+NO pairs. Returns tx hash or None.""" + if amount_raw <= 0: + return None + if not self.can_merge: + log.info( + "merge_skipped_safe_wallet", + condition=condition_id[:12], + amount=amount_raw, + note="Safe merge is spike-gated; inventory exits via limit sells", + ) + return None + try: + return self._merge_eoa(condition_id, amount_raw, neg_risk) + except Exception as exc: # noqa: BLE001 + log.error("merge_failed", condition=condition_id[:12], err=str(exc)) + return None + + def _merge_eoa(self, condition_id: str, amount_raw: int, neg_risk: bool) -> str: + self._ensure_web3() + w3 = self._w3 + addr = self._account.address + cond = _to_bytes32(condition_id) + + if neg_risk: + c = w3.eth.contract(address=w3.to_checksum_address(NEG_RISK_ADAPTER), abi=_NEG_RISK_ABI) + fn = c.functions.mergePositions(cond, amount_raw) + else: + c = w3.eth.contract(address=w3.to_checksum_address(CONDITIONAL_TOKENS), abi=_CTF_ABI) + fn = c.functions.mergePositions( + w3.to_checksum_address(USDC_COLLATERAL), + b"\x00" * 32, # parent collection id (top-level market) + cond, + [1, 2], # partition: the two outcome slots + amount_raw, + ) + + tx = fn.build_transaction( + { + "from": addr, + "nonce": w3.eth.get_transaction_count(addr), + "chainId": self._cfg.wallet.chain_id, + "gas": 300_000, + "maxFeePerGas": w3.eth.gas_price * 2, + "maxPriorityFeePerGas": w3.to_wei(30, "gwei"), + } + ) + signed = self._account.sign_transaction(tx) + tx_hash = w3.eth.send_raw_transaction(signed.raw_transaction) + receipt = w3.eth.wait_for_transaction_receipt(tx_hash, timeout=120) + h = str(receipt["transactionHash"].hex()) + log.info("merge_sent", condition=condition_id[:12], amount=amount_raw, tx=h[:14]) + return h + + +def _to_bytes32(hex_str: str) -> bytes: + s = hex_str[2:] if hex_str.startswith("0x") else hex_str + return bytes.fromhex(s.rjust(64, "0")) diff --git a/src/polymaker/py.typed b/src/polymaker/py.typed new file mode 100644 index 0000000..e69de29 diff --git a/src/polymaker/risk/__init__.py b/src/polymaker/risk/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/polymaker/risk/manager.py b/src/polymaker/risk/manager.py new file mode 100644 index 0000000..50e1b4a --- /dev/null +++ b/src/polymaker/risk/manager.py @@ -0,0 +1,146 @@ +"""RiskManager: pre-trade gates and circuit breakers (see the README). + +Consulted by the engine before every quote set. Returns a per-market decision +(size scale / reduce-only / halt) and owns the global kill switches. Position +and order data come from the StateStore; fair-value marks are pushed in by the +engine so PnL is always current. +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from polymaker.config import RiskConfig +from polymaker.domain import Fill, MarketMeta, Side +from polymaker.logging import get_logger +from polymaker.state.store import StateStore + +log = get_logger("risk.manager") + + +@dataclass(frozen=True, slots=True) +class RiskDecision: + halt: bool # HALTED regime for this market + reduce_only: bool # REDUCE_ONLY regime for this market + size_scale: float # multiply quote sizes by this [0,1] + reason: str = "" + + +class RiskManager: + def __init__(self, cfg: RiskConfig, store: StateStore) -> None: + self._cfg = cfg + self._store = store + self._marks: dict[str, float] = {} # token_id -> fair value + self._net_cash = 0.0 # cumulative signed cash from fills (+sell, -buy) + self._day_start_equity = 0.0 + self._killed = False + self._order_attempts = 0 + self._order_errors = 0 + + # ── PnL bookkeeping ───────────────────────────────────────────────── + def note_fill(self, fill: Fill) -> None: + self._net_cash += (fill.price * fill.size) * (1 if fill.side is Side.SELL else -1) + + def update_mark(self, token_id: str, fv: float) -> None: + self._marks[token_id] = fv + + def _inventory_value(self) -> float: + total = 0.0 + for tok, pos in self._store.positions.items(): + if pos.size > 0: + total += pos.size * self._marks.get(tok, pos.avg_price) + return total + + @property + def equity(self) -> float: + return self._net_cash + self._inventory_value() + + @property + def daily_pnl(self) -> float: + return self.equity - self._day_start_equity + + def reset_day(self) -> None: + self._day_start_equity = self.equity + + # ── error-rate breaker ────────────────────────────────────────────── + def note_order_result(self, ok: bool) -> None: + self._order_attempts += 1 + if not ok: + self._order_errors += 1 + + @property + def error_rate(self) -> float: + return self._order_errors / self._order_attempts if self._order_attempts >= 20 else 0.0 + + # ── global kill switch ────────────────────────────────────────────── + def global_halt(self) -> tuple[bool, str]: + if self._killed: + return True, "manual_kill" + if self.daily_pnl <= -self._cfg.daily_loss_kill_usdc: + return True, f"daily_loss {self.daily_pnl:.0f}" + if self.error_rate >= self._cfg.max_order_error_rate: + return True, f"error_rate {self.error_rate:.2f}" + return False, "" + + def kill(self) -> None: + self._killed = True + log.critical("kill_switch_engaged") + + # ── per-market evaluation ─────────────────────────────────────────── + def evaluate( + self, meta: MarketMeta, *, ws_stale: bool, event_group_cost: float + ) -> RiskDecision: + halted, why = self.global_halt() + if halted: + return RiskDecision(True, False, 0.0, why) + if ws_stale: + return RiskDecision(True, False, 0.0, "ws_stale") + + market_notional = self._market_notional(meta) + total_exposure = self._total_exposure() + + # hard caps -> reduce only + if market_notional >= self._cfg.max_market_notional_usdc: + return RiskDecision(False, True, 1.0, "market_cap") + if event_group_cost >= self._cfg.max_event_group_loss_usdc: + return RiskDecision(False, True, 1.0, "event_group_cap") + if total_exposure >= self._cfg.max_total_exposure_usdc: + return RiskDecision(False, True, 1.0, "total_exposure_cap") + + # soft scaling: taper size as any cap is approached (worst-binding wins) + scale = min( + _headroom(market_notional, self._cfg.max_market_notional_usdc), + _headroom(total_exposure, self._cfg.max_total_exposure_usdc), + _headroom(event_group_cost, self._cfg.max_event_group_loss_usdc), + ) + return RiskDecision(False, False, scale, "") + + def _market_notional(self, meta: MarketMeta) -> float: + total = 0.0 + for tok in (meta.yes.token_id, meta.no.token_id): + pos = self._store.position(tok) + total += pos.size * self._marks.get(tok, pos.avg_price or 0.5) + for o in self._store.orders_for(tok): + if o.side is Side.BUY: + total += o.notional + return total + + def _total_exposure(self) -> float: + total = 0.0 + for tok, pos in self._store.positions.items(): + if pos.size > 0: + total += pos.size * self._marks.get(tok, pos.avg_price or 0.5) + for o in self._store.orders.values(): + if o.side is Side.BUY: + total += o.notional + return total + + +def _headroom(current: float, cap: float) -> float: + """1.0 well below the cap, tapering to 0 as we approach it (from 70%).""" + if cap <= 0: + return 1.0 + frac = current / cap + if frac <= 0.7: + return 1.0 + return max(0.0, (1.0 - frac) / 0.3) diff --git a/src/polymaker/state/__init__.py b/src/polymaker/state/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/polymaker/state/store.py b/src/polymaker/state/store.py new file mode 100644 index 0000000..f8de001 --- /dev/null +++ b/src/polymaker/state/store.py @@ -0,0 +1,176 @@ +"""StateStore: the single owner of positions and open orders. + +Replaces v1's module-level global dicts + the `performing`/`last_trade_update` +races. Three inputs, one arbitration rule (the README): + + * WS fill events apply immediately (optimistic), + * REST reconciliation corrects drift ONLY for tokens with no in-flight trades, + * on-chain balances are consulted only by the merger. + +In-memory + typed, mirrored to SQLite on change so a crash-restart resumes. +""" + +from __future__ import annotations + +import json +import sqlite3 +import time +from pathlib import Path + +from polymaker.domain import Fill, OpenOrder, OrderState, Position, Side +from polymaker.logging import get_logger + +log = get_logger("state.store") + +_SCHEMA = """ +CREATE TABLE IF NOT EXISTS positions ( + token_id TEXT PRIMARY KEY, + size REAL NOT NULL, + avg_price REAL NOT NULL, + updated_ts REAL NOT NULL +); +CREATE TABLE IF NOT EXISTS fills ( + trade_id TEXT PRIMARY KEY, + token_id TEXT, side TEXT, price REAL, size REAL, is_maker INT, ts REAL +); +CREATE TABLE IF NOT EXISTS order_log ( + order_id TEXT PRIMARY KEY, + token_id TEXT, side TEXT, price REAL, size REAL, state TEXT, ts REAL +); +""" + + +class StateStore: + """Owns positions + open orders + a per-token in-flight guard.""" + + def __init__(self, db_path: str | Path = "state.db") -> None: + self._conn = sqlite3.connect(str(db_path)) + self._conn.row_factory = sqlite3.Row + self._conn.execute("PRAGMA journal_mode=WAL") + self._conn.executescript(_SCHEMA) + self._conn.commit() + + self.positions: dict[str, Position] = {} + # order_id -> OpenOrder + self.orders: dict[str, OpenOrder] = {} + # token_id -> count of in-flight (MATCHED-not-CONFIRMED) trades; guards reconcile + self._inflight: dict[str, int] = {} + self._last_fill_ts: dict[str, float] = {} + self._load() + + def close(self) -> None: + self._conn.close() + + # ── positions ─────────────────────────────────────────────────────── + def position(self, token_id: str) -> Position: + return self.positions.get(token_id, Position(token_id)) + + def apply_fill(self, fill: Fill) -> None: + """Apply a fill optimistically to inventory + avg price.""" + pos = self.positions.setdefault(fill.token_id, Position(fill.token_id)) + signed = fill.size if fill.side is Side.BUY else -fill.size + new_size = pos.size + signed + if fill.side is Side.BUY: + if pos.size <= 0: + pos.avg_price = fill.price + else: + pos.avg_price = (pos.avg_price * pos.size + fill.price * fill.size) / ( + pos.size + fill.size + ) + # selling leaves avg_price unchanged + pos.size = max(0.0, new_size) + if pos.size <= 0: + pos.avg_price = 0.0 + self._last_fill_ts[fill.token_id] = fill.ts + self._persist_position(pos) + self._record_fill(fill) + log.info("fill", token=fill.token_id[:12], side=fill.side.value, + price=fill.price, size=fill.size, pos=round(pos.size, 2)) + + def set_position(self, token_id: str, size: float, avg_price: float) -> None: + pos = Position(token_id, max(0.0, size), avg_price if size > 0 else 0.0) + self.positions[token_id] = pos + self._persist_position(pos) + + def reconcile_positions(self, api_positions: dict[str, tuple[float, float]]) -> None: + """Overwrite sizes from REST, skipping tokens with in-flight trades or + a very recent fill (the optimistic value is more current there).""" + now = time.time() + for token_id, (size, avg) in api_positions.items(): + if self._inflight.get(token_id, 0) > 0: + continue + if now - self._last_fill_ts.get(token_id, 0.0) < 5.0: + continue + self.set_position(token_id, size, avg) + + # ── in-flight guard ───────────────────────────────────────────────── + def mark_inflight(self, token_id: str) -> None: + self._inflight[token_id] = self._inflight.get(token_id, 0) + 1 + + def clear_inflight(self, token_id: str) -> None: + if self._inflight.get(token_id, 0) > 0: + self._inflight[token_id] -= 1 + + def inflight(self, token_id: str) -> int: + return self._inflight.get(token_id, 0) + + # ── orders ────────────────────────────────────────────────────────── + def orders_for(self, token_id: str) -> list[OpenOrder]: + return [o for o in self.orders.values() if o.token_id == token_id] + + def upsert_order(self, order: OpenOrder) -> None: + if order.state in (OrderState.CANCELED, OrderState.DONE, OrderState.REJECTED): + self.orders.pop(order.order_id, None) + else: + self.orders[order.order_id] = order + self._persist_order(order) + + def remove_order(self, order_id: str) -> None: + self.orders.pop(order_id, None) + + def replace_open_orders(self, token_id: str, live: list[OpenOrder]) -> None: + """Replace our view of a token's open orders from a REST snapshot.""" + for oid in [o.order_id for o in self.orders.values() if o.token_id == token_id]: + self.orders.pop(oid, None) + for o in live: + self.orders[o.order_id] = o + + # ── persistence ───────────────────────────────────────────────────── + def _persist_position(self, pos: Position) -> None: + self._conn.execute( + "INSERT OR REPLACE INTO positions(token_id,size,avg_price,updated_ts) VALUES(?,?,?,?)", + (pos.token_id, pos.size, pos.avg_price, time.time()), + ) + self._conn.commit() + + def _record_fill(self, f: Fill) -> None: + self._conn.execute( + "INSERT OR IGNORE INTO fills(trade_id,token_id,side,price,size,is_maker,ts) VALUES(?,?,?,?,?,?,?)", + (f.trade_id, f.token_id, f.side.value, f.price, f.size, int(f.is_maker), f.ts), + ) + self._conn.commit() + + def _persist_order(self, o: OpenOrder) -> None: + self._conn.execute( + "INSERT OR REPLACE INTO order_log(order_id,token_id,side,price,size,state,ts) VALUES(?,?,?,?,?,?,?)", + (o.order_id, o.token_id, o.side.value, o.price, o.size, o.state.value, time.time()), + ) + self._conn.commit() + + def _load(self) -> None: + for row in self._conn.execute("SELECT token_id,size,avg_price FROM positions"): + if row["size"] > 0: + self.positions[row["token_id"]] = Position( + row["token_id"], row["size"], row["avg_price"] + ) + + # ── reporting ─────────────────────────────────────────────────────── + def snapshot(self) -> dict[str, object]: + return { + "positions": {k: json.loads(_pos_json(v)) for k, v in self.positions.items() if v.size > 0}, + "open_orders": len(self.orders), + } + + +def _pos_json(p: Position) -> str: + return json.dumps({"size": round(p.size, 4), "avg_price": round(p.avg_price, 4)}) diff --git a/src/polymaker/state/tracker.py b/src/polymaker/state/tracker.py new file mode 100644 index 0000000..6694bed --- /dev/null +++ b/src/polymaker/state/tracker.py @@ -0,0 +1,100 @@ +"""Order/trade lifecycle processing over the StateStore. + +Consumes *normalized* user-stream events (the wire-format extraction lives in +userstream/, so this is unit-testable with synthetic events) and drives the +state machine from the README: + + Trade: MATCHED -> MINED -> CONFIRMED + └──────────-> FAILED (roll back the optimistic fill, reconcile) + +Because we quote post-only, we are always the maker; `our_side` is our side of +each match. We apply the fill optimistically at MATCHED and reverse it on FAILED. +""" + +from __future__ import annotations + +from collections.abc import Callable +from dataclasses import dataclass + +from polymaker.domain import Fill, OpenOrder, OrderState, Side, TradeState +from polymaker.logging import get_logger +from polymaker.state.store import StateStore + +log = get_logger("state.tracker") + + +@dataclass(frozen=True, slots=True) +class TradeEvent: + token_id: str + our_side: Side + price: float + size: float + trade_id: str + status: TradeState + ts: float + + +@dataclass(frozen=True, slots=True) +class OrderEvent: + order_id: str + token_id: str + side: Side + price: float + remaining_size: float # original - matched + is_cancel: bool = False + + +class UserEventProcessor: + """Applies normalized trade/order events to the store.""" + + def __init__( + self, + store: StateStore, + on_change: Callable[[str], None] | None = None, + on_fill: Callable[[Fill], None] | None = None, + ) -> None: + self._store = store + self._on_change = on_change or (lambda _cid: None) + self._on_fill = on_fill or (lambda _fill: None) + # trade_id -> applied Fill, so FAILED can reverse exactly what we applied + self._applied: dict[str, Fill] = {} + + def on_trade(self, ev: TradeEvent, condition_id: str) -> None: + if ev.status is TradeState.MATCHED: + if ev.trade_id in self._applied: + return # idempotent: already counted this match + fill = Fill(ev.token_id, ev.our_side, ev.price, ev.size, ev.trade_id, ev.ts, is_maker=True) + self._store.apply_fill(fill) + self._store.mark_inflight(ev.token_id) + self._applied[ev.trade_id] = fill + self._on_fill(fill) + self._on_change(condition_id) + + elif ev.status in (TradeState.CONFIRMED, TradeState.MINED): + if ev.trade_id in self._applied and ev.status is TradeState.CONFIRMED: + self._store.clear_inflight(ev.token_id) + # keep the fill; it's now settled + self._applied.pop(ev.trade_id, None) + self._on_change(condition_id) + + elif ev.status in (TradeState.FAILED, TradeState.RETRYING): + prior = self._applied.pop(ev.trade_id, None) + if prior is not None: + # reverse the optimistic fill + self._store.apply_fill( + Fill(prior.token_id, prior.side.opposite, prior.price, prior.size, + f"{prior.trade_id}:reverse", prior.ts, is_maker=True) + ) + self._store.clear_inflight(ev.token_id) + log.warning("trade_failed_reversed", trade_id=ev.trade_id, token=ev.token_id[:12]) + self._on_change(condition_id) + + def on_order(self, ev: OrderEvent, condition_id: str) -> None: + if ev.is_cancel or ev.remaining_size <= 0: + self._store.remove_order(ev.order_id) + else: + state = OrderState.LIVE + self._store.upsert_order( + OpenOrder(ev.order_id, ev.token_id, ev.side, ev.price, ev.remaining_size, state) + ) + self._on_change(condition_id) diff --git a/src/polymaker/strategy/__init__.py b/src/polymaker/strategy/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/polymaker/strategy/estimators.py b/src/polymaker/strategy/estimators.py new file mode 100644 index 0000000..514ee89 --- /dev/null +++ b/src/polymaker/strategy/estimators.py @@ -0,0 +1,195 @@ +"""Online estimators driven by the live stream: EWMAs of vol, flow, toxicity. + +All are time-decayed (half-life in seconds) so they behave correctly under +irregular event arrival — a burst of ticks and a quiet minute are weighted by +elapsed wall-clock, not by sample count. Pure state machines: feed them +observations with timestamps, read scalar summaries. No I/O. +""" + +from __future__ import annotations + +import math +from dataclasses import dataclass, field + +from polymaker.domain import Side + + +class Ewma: + """Time-decayed exponentially weighted mean. + + On each update the prior weight decays by 0.5 ** (dt / halflife); a fresh + observation gets the remaining weight. The first observation seeds the mean. + """ + + __slots__ = ("halflife", "_value", "_last_ts", "_initialized") + + def __init__(self, halflife_s: float) -> None: + if halflife_s <= 0: + raise ValueError("halflife must be positive") + self.halflife = halflife_s + self._value = 0.0 + self._last_ts = 0.0 + self._initialized = False + + def update(self, value: float, ts: float) -> float: + if not self._initialized: + self._value = value + self._last_ts = ts + self._initialized = True + return self._value + dt = max(0.0, ts - self._last_ts) + decay = 0.5 ** (dt / self.halflife) + self._value = decay * self._value + (1.0 - decay) * value + self._last_ts = ts + return self._value + + def decay_to(self, ts: float) -> float: + """Decay the stored value toward 0 as if observing 0 at `ts`. + + Used to age out flow/vol during silence without a new observation. + """ + if self._initialized: + dt = max(0.0, ts - self._last_ts) + self._value *= 0.5 ** (dt / self.halflife) + self._last_ts = ts + return self._value + + @property + def value(self) -> float: + return self._value + + @property + def ready(self) -> bool: + return self._initialized + + +class VolEstimator: + """Realized volatility at two horizons from fair-value changes.""" + + __slots__ = ("_short", "_long", "_last_fv", "_last_ts") + + def __init__(self, short_halflife_s: float, long_halflife_s: float) -> None: + self._short = Ewma(short_halflife_s) + self._long = Ewma(long_halflife_s) + self._last_fv: float | None = None + self._last_ts = 0.0 + + def update(self, fv: float, ts: float) -> None: + if self._last_fv is not None: + r = fv - self._last_fv + sq = r * r + self._short.update(sq, ts) + self._long.update(sq, ts) + self._last_fv = fv + self._last_ts = ts + + @property + def short(self) -> float: + return math.sqrt(max(0.0, self._short.value)) + + @property + def long(self) -> float: + return math.sqrt(max(0.0, self._long.value)) + + @property + def ratio(self) -> float: + """short/long vol ratio; >1 means recent activity above baseline.""" + lo = self.long + return self.short / lo if lo > 1e-9 else 1.0 + + +class FlowEstimator: + """Signed aggressor flow and its normalized strength (a crude z-score).""" + + __slots__ = ("_signed", "_abs") + + def __init__(self, halflife_s: float) -> None: + self._signed = Ewma(halflife_s) + self._abs = Ewma(halflife_s) + + def update(self, aggressor: Side, size: float, ts: float) -> None: + signed = size if aggressor is Side.BUY else -size + self._signed.update(signed, ts) + self._abs.update(abs(size), ts) + + def decay_to(self, ts: float) -> None: + self._signed.decay_to(ts) + self._abs.decay_to(ts) + + @property + def signed(self) -> float: + return self._signed.value + + @property + def z(self) -> float: + """Signed flow normalized by average trade magnitude, in ~[-1, 1]+.""" + denom = self._abs.value + return self._signed.value / denom if denom > 1e-9 else 0.0 + + +@dataclass(slots=True) +class _PendingMarkout: + fv_at_fill: float + side: Side # our side of the fill (BUY => we bought => adverse if price falls) + due_ts: float + + +class MarkoutTracker: + """Measures adverse selection: how fair value moves against us after fills. + + For each fill we remember FV-at-fill and, after a horizon, compare to the + then-current FV. Signed so that a *positive* markout means the trade was + good (price moved in our favor) and negative means we got picked off. The + toxicity summary is the magnitude of recent adverse (negative) markout, + which the quoter turns into extra spread / less size. + """ + + __slots__ = ("_horizon_s", "_pending", "_markout") + + def __init__(self, horizon_s: float = 300.0, ewma_halflife_s: float = 1800.0) -> None: + self._horizon_s = horizon_s + self._pending: list[_PendingMarkout] = [] + self._markout = Ewma(ewma_halflife_s) + + def record_fill(self, side: Side, fv_at_fill: float, ts: float) -> None: + self._pending.append(_PendingMarkout(fv_at_fill, side, ts + self._horizon_s)) + + def evaluate(self, fv_now: float, ts: float) -> None: + """Resolve any markouts whose horizon has elapsed.""" + still: list[_PendingMarkout] = [] + for p in self._pending: + if ts >= p.due_ts: + move = fv_now - p.fv_at_fill + # if we BOUGHT, a rise is good (+); if we SOLD, a fall is good (+) + signed = move if p.side is Side.BUY else -move + self._markout.update(signed, ts) + else: + still.append(p) + self._pending = still + + @property + def markout(self) -> float: + return self._markout.value + + @property + def toxicity(self) -> float: + """Non-negative adverse-selection score (0 when fills are benign).""" + return max(0.0, -self._markout.value) + + +@dataclass(slots=True) +class MarketEstimators: + """Bundle of the per-market online estimators the engine keeps.""" + + vol: VolEstimator + flow: FlowEstimator + markout: MarkoutTracker + last_fv: float | None = None + last_fv_ts: float = 0.0 + fv_history: list[tuple[float, float]] = field(default_factory=list) + + def on_fair_value(self, fv: float, ts: float) -> None: + self.vol.update(fv, ts) + self.markout.evaluate(fv, ts) + self.last_fv = fv + self.last_fv_ts = ts diff --git a/src/polymaker/strategy/quoting.py b/src/polymaker/strategy/quoting.py new file mode 100644 index 0000000..2b2e3ac --- /dev/null +++ b/src/polymaker/strategy/quoting.py @@ -0,0 +1,203 @@ +"""Pure quote construction: (market state, inventory, params) -> TargetQuotes. + +This is the deterministic core of the strategy. No I/O, no wall-clock reads +except values passed in. Everything here is exercised directly by unit tests. + +Model (see the README): + reservation r = FV - skew(inventory) + half-spread δ = base + c_vol·σ + c_tox·toxicity (clamped to reward band in QUIET) + YES entry bid = r - δ (BUY YES, USDC-collateralized) + NO entry bid = (1 - r) - δ (BUY NO; implied YES ask at r + δ) + exits = SELL limits on held inventory, walked toward the touch by urgency + +The BUY-YES + BUY-NO pair is the canonical two-sided quote: both are bids, both +score rewards, and a filled pair merges back to USDC at locked edge 1 - p - q. +""" + +from __future__ import annotations + +import math +from dataclasses import dataclass + +from polymaker.config import StrategyProfile +from polymaker.domain import MarketMeta, Position, Quote, Regime, Side, TargetQuotes +from polymaker.marketdata.orderbook import BookView + +_EPS = 1e-9 + + +def round_to_tick(price: float, tick: float, decimals: int, *, up: bool) -> float: + """Snap a price to the tick grid, rounding up or down, clamped to (0,1).""" + n = price / tick + n = math.ceil(n - _EPS) if up else math.floor(n + _EPS) + p = round(n * tick, decimals) + return min(max(p, tick), 1.0 - tick) + + +def compute_fair_value(microprice: float, flow_z: float, tick: float, weight: float = 0.5) -> float: + """Nudge the microprice by bounded signed flow. Clamped to (tick, 1-tick).""" + fv = microprice + weight * flow_z * tick + return min(max(fv, tick), 1.0 - tick) + + +@dataclass(frozen=True, slots=True) +class QuoteInputs: + meta: MarketMeta + regime: Regime + fv: float # YES fair value in (0,1) + vol_short: float + toxicity: float + yes_view: BookView + no_view: BookView + pos_yes: Position + pos_no: Position + profile: StrategyProfile + now: float + risk_size_scale: float = 1.0 # RiskManager may throttle size in [0,1] + yes_exit_urgency: float = 0.0 # [0,1]; engine raises with hold time / adverse drift + no_exit_urgency: float = 0.0 + + +def construct_quotes(inp: QuoteInputs) -> TargetQuotes: + m = inp.meta + p = inp.profile + tick = m.tick_size + dec = m.price_decimals + cid = m.condition_id + + if inp.regime in (Regime.EVENT, Regime.HALTED): + return TargetQuotes(cid, inp.regime, ()) + + quotes: list[Quote] = [] + + # ── inventory in YES-equivalent shares; holding NO is short YES ────── + net_shares = inp.pos_yes.size - inp.pos_no.size + q_max_shares = p.q_max_usdc / max(inp.fv, tick) + u = _clamp(net_shares / q_max_shares, -1.0, 1.0) if q_max_shares > 0 else 0.0 + + skew = p.gamma * inp.vol_short * u + + # ── half-spread ───────────────────────────────────────────────────── + base = p.delta_min_ticks * tick + delta = base + p.c_vol * inp.vol_short + p.c_tox * inp.toxicity + reward_band = m.rewards_max_spread / 100.0 + if inp.regime == Regime.QUIET and reward_band > 0: + delta = _clamp(delta, base, max(base, reward_band)) + delta = max(delta, tick) + + r = inp.fv - skew + yes_bid_target = r - delta + no_bid_target = (1.0 - r) - delta + + # ── size scaling ──────────────────────────────────────────────────── + regime_scale = 0.5 if inp.regime == Regime.TRENDING else 1.0 + tox_scale = 1.0 / (1.0 + inp.toxicity * 10.0) + common_scale = regime_scale * tox_scale * _clamp(inp.risk_size_scale, 0.0, 1.0) + + soft_cap = p.q_soft_frac # fraction of q_max at which the adding side pulls + add_yes = inp.regime not in (Regime.REDUCE_ONLY,) and u < soft_cap + add_no = inp.regime not in (Regime.REDUCE_ONLY,) and u > -soft_cap + + # entry: BUY YES + if add_yes: + price = _place_bid(yes_bid_target, inp.yes_view, tick, dec, inp.fv, p.min_edge_ticks) + if price is not None: + _add_layers(quotes, m.yes.token_id, Side.BUY, price, tick, dec, + _size_shares(p.base_size_usdc, price, common_scale * (1 - max(u, 0.0)), m), + p.layers, p.layer_step_ticks, down=True) + + # entry: BUY NO + if add_no: + no_fv = 1.0 - inp.fv + price = _place_bid(no_bid_target, inp.no_view, tick, dec, no_fv, p.min_edge_ticks) + if price is not None: + _add_layers(quotes, m.no.token_id, Side.BUY, price, tick, dec, + _size_shares(p.base_size_usdc, price, common_scale * (1 - max(-u, 0.0)), m), + p.layers, p.layer_step_ticks, down=True) + + # ── exits: SELL held inventory (maker, never cross) ───────────────── + _maybe_exit(quotes, m.yes.token_id, inp.pos_yes, inp.fv, delta, inp.yes_view, tick, dec, + inp.yes_exit_urgency, m, inp.regime) + _maybe_exit(quotes, m.no.token_id, inp.pos_no, 1.0 - inp.fv, delta, inp.no_view, tick, dec, + inp.no_exit_urgency, m, inp.regime) + + return TargetQuotes(cid, inp.regime, tuple(quotes)) + + +# ── helpers ───────────────────────────────────────────────────────────── + + +def _clamp(x: float, lo: float, hi: float) -> float: + return min(max(x, lo), hi) + + +def _place_bid( + target: float, view: BookView, tick: float, dec: int, fv: float, min_edge_ticks: int +) -> float | None: + """Position a BUY: join the touch or sit behind, never cross, keep min edge vs FV.""" + price = target + # never bid above (FV - min_edge*tick): we don't pay through fair value + price = min(price, fv - min_edge_ticks * tick) + # join the queue rather than jump it (conservative maker default) + if view.best_bid is not None and price >= view.best_bid: + price = view.best_bid + # never cross the ask + if view.best_ask is not None and price >= view.best_ask: + price = view.best_ask - tick + p = round_to_tick(price, tick, dec, up=False) + if p <= 0 or p >= 1: + return None + return p + + +def _size_shares(base_usdc: float, price: float, scale: float, m: MarketMeta) -> float: + """USDC-notional sizing -> shares, honoring exchange & reward minimums.""" + shares = (base_usdc / max(price, m.tick_size)) * max(scale, 0.0) + if shares <= 0: + return 0.0 + floor = max(m.min_order_size, m.rewards_min_size) + # round up small-but-real sizes to the reward min so they actually score + if 0.5 * floor <= shares < floor: + shares = floor + return round(shares, 2) if shares >= m.min_order_size else 0.0 + + +def _add_layers( + quotes: list[Quote], token_id: str, side: Side, top_price: float, tick: float, dec: int, + total_size: float, layers: int, step_ticks: int, *, down: bool, +) -> None: + """Split size across `layers` price levels stepping away from the touch.""" + if total_size <= 0: + return + layers = max(1, layers) + per = round(total_size / layers, 2) + if per <= 0: + per = total_size + layers = 1 + for i in range(layers): + offset = i * step_ticks * tick + price = top_price - offset if down else top_price + offset + price = round(price, dec) + if 0 < price < 1 and per > 0: + quotes.append(Quote(token_id, side, price, per)) + + +def _maybe_exit( + quotes: list[Quote], token_id: str, pos: Position, token_fv: float, delta: float, + view: BookView, tick: float, dec: int, urgency: float, m: MarketMeta, regime: Regime, +) -> None: + if pos.size < m.min_order_size: + return + # target starts at fv + delta and walks toward best_bid + tick as urgency -> 1 + passive = token_fv + delta + floor = (view.best_bid + tick) if view.best_bid is not None else passive + if regime == Regime.REDUCE_ONLY: + urgency = max(urgency, 0.5) + target = passive * (1.0 - urgency) + floor * urgency + # never cross down through the bid; never sell below best_bid + if view.best_bid is not None: + target = max(target, view.best_bid + tick) + price = round_to_tick(target, tick, dec, up=True) + size = round(pos.size, 2) + if 0 < price < 1 and size >= m.min_order_size: + quotes.append(Quote(token_id, Side.SELL, price, size)) diff --git a/src/polymaker/strategy/regime.py b/src/polymaker/strategy/regime.py new file mode 100644 index 0000000..77ebf41 --- /dev/null +++ b/src/polymaker/strategy/regime.py @@ -0,0 +1,74 @@ +"""Per-market regime decision (see the README). + +Priority order, highest first: + HALTED kill switch / stale data / resolved / past halt-before window + EVENT active cooloff, or a fresh sweep / fair-value jump + REDUCE_ONLY inventory at hard cap, or inside the reduce-only end-date window + TRENDING persistent one-sided flow or elevated short/long vol + QUIET default farming posture +""" + +from __future__ import annotations + +from dataclasses import dataclass + +from polymaker.config import StrategyProfile +from polymaker.domain import Regime + + +@dataclass(frozen=True, slots=True) +class RegimeInputs: + now: float + tick: float + fv: float + prev_fv: float | None + vol_ratio: float + flow_z: float + inventory_util: float # |net notional| / q_max, >=0 + hours_to_end: float | None + sweep_flagged: bool = False + market_resolved: bool = False + ws_stale: bool = False + risk_halt: bool = False + risk_reduce_only: bool = False + + +class RegimeMachine: + """Stateful regime decider for one market (tracks the EVENT cooloff).""" + + __slots__ = ("_event_until",) + + def __init__(self) -> None: + self._event_until: float = 0.0 + + def decide(self, inp: RegimeInputs, p: StrategyProfile) -> Regime: + # 1. hard halts + if inp.risk_halt or inp.ws_stale or inp.market_resolved: + return Regime.HALTED + if inp.hours_to_end is not None and inp.hours_to_end <= p.halt_before_hours: + return Regime.HALTED + + # 2. events (sweep / jump / active cooloff) + jump_ticks = abs(inp.fv - inp.prev_fv) / inp.tick if inp.prev_fv is not None else 0.0 + if inp.sweep_flagged or jump_ticks >= p.event_jump_ticks: + self._event_until = inp.now + p.event_cooloff_s + return Regime.EVENT + if inp.now < self._event_until: + return Regime.EVENT + + # 3. reduce-only + if inp.risk_reduce_only or inp.inventory_util >= 1.0: + return Regime.REDUCE_ONLY + if inp.hours_to_end is not None and inp.hours_to_end <= p.reduce_only_hours: + return Regime.REDUCE_ONLY + + # 4. trending + if abs(inp.flow_z) >= p.trend_flow_z or inp.vol_ratio >= 2.0: + return Regime.TRENDING + + # 5. default + return Regime.QUIET + + @property + def in_cooloff(self) -> bool: + return self._event_until > 0.0 diff --git a/src/polymaker/userstream/__init__.py b/src/polymaker/userstream/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/polymaker/userstream/client.py b/src/polymaker/userstream/client.py new file mode 100644 index 0000000..adbd49a --- /dev/null +++ b/src/polymaker/userstream/client.py @@ -0,0 +1,126 @@ +"""UserStream: authenticated user WS for our order/trade lifecycle events. + +Subscribes with L2 creds and the condition_ids we trade; routes fills and order +updates into the StateStore via the UserEventProcessor. Reconnects with backoff. +""" + +from __future__ import annotations + +import asyncio +import json +from collections.abc import Callable +from typing import Any + +import websockets + +from polymaker.journal import Journal +from polymaker.logging import get_logger +from polymaker.state.tracker import UserEventProcessor +from polymaker.userstream.parse import normalize_order, normalize_trade + +log = get_logger("userstream.client") + + +class UserStream: + def __init__( + self, + creds: Any, + our_address: str, + processor: UserEventProcessor, + *, + other_token: Callable[[str], str | None], + condition_of_token: Callable[[str], str | None], + url: str = "wss://ws-subscriptions-clob.polymarket.com/ws/user", + journal: Journal | None = None, + proxy: str | None = None, + ) -> None: + self._creds = creds + self._address = our_address + self._proc = processor + self._other_token = other_token + self._condition_of_token = condition_of_token + self._url = url + self._journal = journal + self._proxy = proxy + self._markets: list[str] = [] + self._stop = asyncio.Event() + + def set_markets(self, condition_ids: list[str]) -> None: + self._markets = condition_ids + + async def run(self) -> None: + backoff = 1.0 + while not self._stop.is_set(): + try: + await self._connect_and_listen() + backoff = 1.0 + except (websockets.ConnectionClosed, OSError) as exc: + log.warning("user_ws_dropped", err=str(exc)) + except Exception as exc: # noqa: BLE001 + log.error("user_ws_error", err=str(exc)) + if self._stop.is_set(): + break + await asyncio.sleep(backoff) + backoff = min(backoff * 2, 30.0) + + async def _connect_and_listen(self) -> None: + sub = { + "type": "user", + "auth": { + "apiKey": self._creds.api_key, + "secret": self._creds.api_secret, + "passphrase": self._creds.api_passphrase, + }, + "markets": self._markets, + } + kwargs: dict[str, Any] = {"ping_interval": 5, "ping_timeout": None} + if self._proxy: + kwargs["proxy"] = self._proxy + async with websockets.connect(self._url, **kwargs) as ws: + await ws.send(json.dumps(sub)) + log.info("user_ws_subscribed", markets=len(self._markets)) + async for raw in ws: + self._handle(raw) + + def stop(self) -> None: + self._stop.set() + + def _handle(self, raw: str | bytes) -> None: + try: + data = json.loads(raw) + except (json.JSONDecodeError, TypeError): + return + for msg in data if isinstance(data, list) else [data]: + if not isinstance(msg, dict): + continue + et = msg.get("event_type") + if et == "trade": + self._on_trade(msg) + elif et == "order": + self._on_order(msg) + + def _on_trade(self, msg: dict[str, Any]) -> None: + self._journal_write("user_trade", msg) + for ev in normalize_trade(msg, self._address, self._other_token): + cond = self._condition_of_token(ev.token_id) or str(msg.get("market", "")) + self._proc.on_trade(ev, cond) + + def _on_order(self, msg: dict[str, Any]) -> None: + self._journal_write("user_order", msg) + ev = normalize_order(msg) + if ev is not None: + cond = self._condition_of_token(ev.token_id) or str(msg.get("market", "")) + self._proc.on_order(ev, cond) + + def _journal_write(self, kind: str, payload: dict[str, Any]) -> None: + if self._journal is not None: + self._journal.write(kind, payload, _ts(payload)) + + +def _ts(msg: dict[str, Any]) -> float: + raw = msg.get("timestamp") + try: + v = float(raw) # type: ignore[arg-type] + return v / 1000.0 if v > 1e12 else v + except (ValueError, TypeError): + return 0.0 diff --git a/src/polymaker/userstream/parse.py b/src/polymaker/userstream/parse.py new file mode 100644 index 0000000..98cde66 --- /dev/null +++ b/src/polymaker/userstream/parse.py @@ -0,0 +1,111 @@ +"""Pure parsers for user-WS frames -> normalized trade/order events. + +Fills come from `trade` events; open-order tracking from `order` events. The +maker/taker/mint side logic mirrors v1's proven handler (post-only means we are +always the maker): + + * maker & taker on the SAME outcome -> we SELL the taker's asset (reverse side) + * maker & taker on DIFFERENT outcomes -> a mint: we BUY the opposite token + +NOTE: exact field names must be reconfirmed in the Phase-2 wallet spike +(the README); this is coded to the v1-observed shape. +""" + +from __future__ import annotations + +from collections.abc import Callable +from typing import Any + +from polymaker.domain import Side, TradeState +from polymaker.state.tracker import OrderEvent, TradeEvent + +_STATUS = { + "MATCHED": TradeState.MATCHED, + "MINED": TradeState.MINED, + "CONFIRMED": TradeState.CONFIRMED, + "RETRYING": TradeState.RETRYING, + "FAILED": TradeState.FAILED, +} + + +def _ts(msg: dict[str, Any]) -> float: + raw = msg.get("timestamp") + try: + v = float(raw) # type: ignore[arg-type] + return v / 1000.0 if v > 1e12 else v + except (ValueError, TypeError): + return 0.0 + + +def normalize_trade( + msg: dict[str, Any], + our_address: str, + other_token: Callable[[str], str | None], +) -> list[TradeEvent]: + """Extract our maker fills from a `trade` event. Returns one TradeEvent per + matching maker order (usually one).""" + status = _STATUS.get(str(msg.get("status", "")).upper()) + if status is None: + return [] + taker_asset = str(msg.get("asset_id", "")) + taker_side = _side(msg.get("side")) + taker_outcome = msg.get("outcome") + ts = _ts(msg) + trade_id = str(msg.get("id", "")) + addr = our_address.lower() + + out: list[TradeEvent] = [] + for i, mo in enumerate(msg.get("maker_orders", []) or []): + if str(mo.get("maker_address", "")).lower() != addr: + continue + try: + size = float(mo.get("matched_amount", 0)) + price = float(mo.get("price", 0)) + except (ValueError, TypeError): + continue + if size <= 0: + continue + if mo.get("outcome") == taker_outcome: + token = taker_asset + our_side = taker_side.opposite + else: + token = other_token(taker_asset) or taker_asset + our_side = taker_side + out.append( + TradeEvent( + token_id=token, + our_side=our_side, + price=price, + size=size, + trade_id=f"{trade_id}:{i}" if len(msg.get('maker_orders', [])) > 1 else trade_id, + status=status, + ts=ts, + ) + ) + return out + + +def normalize_order(msg: dict[str, Any]) -> OrderEvent | None: + """Map an `order` event to remaining-size tracking for the reconciler.""" + try: + asset = str(msg["asset_id"]) + side = _side(msg.get("side")) + original = float(msg.get("original_size", msg.get("size", 0))) + matched = float(msg.get("size_matched", 0)) + remaining = original - matched + status = str(msg.get("status", "")).upper() + is_cancel = status in ("CANCELED", "CANCELLED") or msg.get("type") == "CANCELLATION" + return OrderEvent( + order_id=str(msg.get("id", "")), + token_id=asset, + side=side, + price=float(msg.get("price", 0)), + remaining_size=remaining, + is_cancel=is_cancel, + ) + except (KeyError, ValueError, TypeError): + return None + + +def _side(value: object) -> Side: + return Side.SELL if str(value).upper() == "SELL" else Side.BUY diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..59ba99b --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,49 @@ +"""Shared test fixtures.""" + +from __future__ import annotations + +import pytest + +from polymaker.config import StrategyProfile +from polymaker.domain import MarketMeta, TokenMeta +from polymaker.marketdata.orderbook import BookView + + +@pytest.fixture +def meta() -> MarketMeta: + return MarketMeta( + condition_id="0xcond", + question="Will X happen?", + slug="will-x-happen", + tokens=(TokenMeta("yes-token", "Yes"), TokenMeta("no-token", "No")), + tick_size=0.01, + neg_risk=False, + min_order_size=5.0, + rewards_min_size=10.0, + rewards_max_spread=3.0, # 3 cents + rewards_daily_rate=50.0, + maker_fee_bps=0, + taker_fee_bps=100, + fees_enabled=True, + end_date_iso="2028-11-07T00:00:00Z", + event_id="evt-1", + ) + + +@pytest.fixture +def profile() -> StrategyProfile: + return StrategyProfile() # defaults + + +def view(bb: float | None, ba: float | None, bb_sz: float = 500, ba_sz: float = 500) -> BookView: + """Construct a BookView for a token with a symmetric deep book.""" + return BookView( + best_bid=bb, + best_bid_size=bb_sz, + best_ask=ba, + best_ask_size=ba_sz, + second_bid=(bb - 0.01) if bb else None, + second_ask=(ba + 0.01) if ba else None, + bid_depth=bb_sz, + ask_depth=ba_sz, + ) diff --git a/tests/test_catalog.py b/tests/test_catalog.py new file mode 100644 index 0000000..3c5de48 --- /dev/null +++ b/tests/test_catalog.py @@ -0,0 +1,91 @@ +"""Tests for market parsing, scoring, and the SQLite catalog store.""" + +from __future__ import annotations + +import json + +from polymaker.catalog.gamma import parse_market +from polymaker.catalog.scoring import score_market +from polymaker.catalog.store import CatalogStore + +RAW = { + "conditionId": "0xabc", + "question": "Will candidate X win?", + "slug": "will-x-win", + "clobTokenIds": json.dumps(["tok-yes", "tok-no"]), + "outcomes": json.dumps(["Yes", "No"]), + "orderPriceMinTickSize": 0.01, + "orderMinSize": 5, + "negRisk": True, + "acceptingOrders": True, + "rewardsMinSize": 10, + "rewardsMaxSpread": 3.0, + "feesEnabled": True, + "feeSchedule": {"rate": 0.01, "takerOnly": True, "rebateRate": 0.25}, + "bestBid": 0.48, + "bestAsk": 0.50, + "liquidityNum": 20000.0, + "volumeNum": 500000.0, + "endDate": "2028-11-07T00:00:00Z", + "events": [{"id": 999, "slug": "2028-election"}], +} + + +def test_parse_market_maps_fields(): + m = parse_market(RAW, reward_rates={"0xabc": 42.0}) + assert m is not None + assert m.condition_id == "0xabc" + assert m.yes.token_id == "tok-yes" + assert m.no.token_id == "tok-no" + assert m.tick_size == 0.01 + assert m.neg_risk is True + assert m.rewards_daily_rate == 42.0 + assert m.taker_fee_bps == 100 # 0.01 -> 100 bps + assert m.maker_fee_bps == 0 # V2 makers pay zero + assert m.rebate_rate == 0.25 + assert m.event_id == "999" + + +def test_parse_market_rejects_non_binary_and_closed(): + triple = {**RAW, "clobTokenIds": json.dumps(["a", "b", "c"]), + "outcomes": json.dumps(["A", "B", "C"])} + assert parse_market(triple) is None + not_accepting = {**RAW, "acceptingOrders": False} + assert parse_market(not_accepting) is None + + +def test_score_prefers_rewards_and_rebates(): + good = parse_market(RAW, {"0xabc": 100.0}) + poor = parse_market({**RAW, "conditionId": "0xdef", "rewardsMinSize": 0, + "rewardsMaxSpread": 0, "feesEnabled": False}, + {"0xdef": 0.0}) + assert score_market(good).score > score_market(poor).score + + +def test_score_penalizes_extremity(): + balanced = parse_market(RAW, {"0xabc": 50.0}) + extreme = parse_market({**RAW, "conditionId": "0xext", "bestBid": 0.96, "bestAsk": 0.98}, + {"0xext": 50.0}) + assert score_market(extreme).extremity > score_market(balanced).extremity + + +def test_store_roundtrip_and_top(tmp_path): + store = CatalogStore(tmp_path / "s.db") + m = parse_market(RAW, {"0xabc": 42.0}) + store.upsert_market(m) + assert store.get("0xabc").condition_id == "0xabc" + assert store.get_by_slug("will-x-win").slug == "will-x-win" + top = store.top(10) + assert len(top) == 1 and top[0][0].condition_id == "0xabc" + # tokens survive the JSON round-trip as a 2-tuple + assert len(store.get("0xabc").tokens) == 2 + store.close() + + +def test_store_upsert_is_idempotent(tmp_path): + store = CatalogStore(tmp_path / "s.db") + m = parse_market(RAW, {"0xabc": 42.0}) + store.upsert_market(m) + store.upsert_market(m) # second time updates, not duplicates + assert len(store.top(10)) == 1 + store.close() diff --git a/tests/test_engine.py b/tests/test_engine.py new file mode 100644 index 0000000..af775ed --- /dev/null +++ b/tests/test_engine.py @@ -0,0 +1,76 @@ +"""Integration test: one full engine recompute cycle in paper mode (no network).""" + +from __future__ import annotations + +import asyncio +import time + +from polymaker.config import Config, PathsConfig, StrategyProfile +from polymaker.domain import Side +from polymaker.engine import Engine +from polymaker.strategy.regime import RegimeMachine + + +def _engine_with_market(tmp_path, meta) -> Engine: + cfg = Config(paths=PathsConfig(db=str(tmp_path / "state.db"), + journal_dir=str(tmp_path / "j"), + log_dir=str(tmp_path / "l"))) + cfg.engine.journal = False + eng = Engine(cfg, paper=True) + cid = meta.condition_id + # inject one market directly, bypassing network resolution + eng.metas[cid] = meta + eng.profiles[cid] = StrategyProfile() + eng.est[cid] = Engine._make_estimators(eng.profiles[cid]) + eng.regime_m[cid] = RegimeMachine() + eng._dirty[cid] = asyncio.Event() + for tok in (meta.yes.token_id, meta.no.token_id): + eng._token_cid[tok] = cid + eng.md.set_markets([(cid, [meta.yes.token_id, meta.no.token_id])]) + eng._running = True + return eng + + +def _feed_book(eng, meta): + now = time.time() # fresh ts so the ws_stale guard doesn't HALT the market + yb = eng.md.book(meta.yes.token_id) + yb.apply_snapshot(bids=[(0.48, 500), (0.49, 500)], asks=[(0.51, 500), (0.52, 500)], ts=now) + nb = eng.md.book(meta.no.token_id) + nb.apply_snapshot(bids=[(0.48, 500), (0.49, 500)], asks=[(0.51, 500), (0.52, 500)], ts=now) + + +async def test_recompute_places_two_sided_paper_quotes(tmp_path, meta): + eng = _engine_with_market(tmp_path, meta) + _feed_book(eng, meta) + await eng._recompute(meta.condition_id) + + yes_orders = eng.state.orders_for(meta.yes.token_id) + no_orders = eng.state.orders_for(meta.no.token_id) + assert yes_orders, "no YES quotes placed" + assert no_orders, "no NO quotes placed" + # entry quotes are BUYs on both tokens (the canonical two-sided quote) + assert all(o.side is Side.BUY for o in yes_orders) + assert all(o.side is Side.BUY for o in no_orders) + eng.state.close() + eng.catalog.close() + + +async def test_recompute_is_idempotent_within_tolerance(tmp_path, meta): + eng = _engine_with_market(tmp_path, meta) + _feed_book(eng, meta) + await eng._recompute(meta.condition_id) + n_after_first = len(eng.state.orders) + # same book -> reconcile should be a no-op, order count unchanged + await eng._recompute(meta.condition_id) + assert len(eng.state.orders) == n_after_first + eng.state.close() + eng.catalog.close() + + +async def test_recompute_skips_when_book_empty(tmp_path, meta): + eng = _engine_with_market(tmp_path, meta) + # no book fed + await eng._recompute(meta.condition_id) + assert len(eng.state.orders) == 0 + eng.state.close() + eng.catalog.close() diff --git a/tests/test_estimators.py b/tests/test_estimators.py new file mode 100644 index 0000000..d79a149 --- /dev/null +++ b/tests/test_estimators.py @@ -0,0 +1,83 @@ +"""Unit tests for the online estimators (vol, flow, markout/toxicity).""" + +from __future__ import annotations + +import pytest + +from polymaker.domain import Side +from polymaker.strategy.estimators import ( + Ewma, + FlowEstimator, + MarkoutTracker, + VolEstimator, +) + + +def test_ewma_seeds_then_decays(): + e = Ewma(halflife_s=10.0) + assert not e.ready + e.update(1.0, ts=0.0) + assert e.value == 1.0 + # after exactly one half-life, a 0 observation pulls the mean halfway + e.update(0.0, ts=10.0) + assert e.value == pytest.approx(0.5, abs=1e-9) + + +def test_ewma_decay_to_ages_value(): + e = Ewma(halflife_s=10.0) + e.update(1.0, ts=0.0) + e.decay_to(ts=10.0) # one half-life of silence + assert e.value == pytest.approx(0.5, abs=1e-9) + + +def test_vol_estimator_rises_with_movement(): + v = VolEstimator(short_halflife_s=5.0, long_halflife_s=100.0) + # quiet: tiny moves + fv, t = 0.5, 0.0 + for _ in range(20): + t += 1.0 + v.update(fv, t) # no change -> zero vol + assert v.short == pytest.approx(0.0, abs=1e-6) + # sudden jumps -> short vol jumps, ratio > 1 + for step in (0.05, -0.04, 0.06): + t += 1.0 + fv += step + v.update(fv, t) + assert v.short > 0.01 + assert v.ratio > 1.0 + + +def test_flow_estimator_sign_and_z(): + f = FlowEstimator(halflife_s=10.0) + t = 0.0 + for _ in range(5): + t += 1.0 + f.update(Side.BUY, 100, t) # persistent buying + assert f.signed > 0 + assert f.z > 0.5 # strongly one-sided + # now heavy selling flips the sign over time + for _ in range(10): + t += 1.0 + f.update(Side.SELL, 200, t) + assert f.signed < 0 + assert f.z < 0 + + +def test_markout_toxicity_from_adverse_fills(): + mt = MarkoutTracker(horizon_s=30.0, ewma_halflife_s=100.0) + # we BUY at fv=0.50; price then falls to 0.45 after the horizon -> adverse + mt.record_fill(Side.BUY, fv_at_fill=0.50, ts=0.0) + mt.evaluate(fv_now=0.50, ts=10.0) # before horizon: nothing resolves + assert mt.markout == 0.0 + mt.evaluate(fv_now=0.45, ts=31.0) # after horizon: -0.05 markout + assert mt.markout < 0 + assert mt.toxicity > 0 + + +def test_markout_benign_fills_are_not_toxic(): + mt = MarkoutTracker(horizon_s=30.0, ewma_halflife_s=100.0) + # we BUY at 0.50; price rises to 0.55 -> favorable, not toxic + mt.record_fill(Side.BUY, fv_at_fill=0.50, ts=0.0) + mt.evaluate(fv_now=0.55, ts=31.0) + assert mt.markout > 0 + assert mt.toxicity == 0.0 diff --git a/tests/test_execution.py b/tests/test_execution.py new file mode 100644 index 0000000..7ef707a --- /dev/null +++ b/tests/test_execution.py @@ -0,0 +1,69 @@ +"""Tests for the rate budgeter and the paper-mode gateway.""" + +from __future__ import annotations + +import asyncio +import time + +import pytest + +from polymaker.config import Config +from polymaker.domain import Quote, Side +from polymaker.execution.gateway import ExecutionGateway, _tick_str +from polymaker.execution.ratelimit import TokenBucket + + +def test_tick_str_formats(): + assert _tick_str(0.01) == "0.01" + assert _tick_str(0.001) == "0.001" + assert _tick_str(0.0025) == "0.0025" + assert _tick_str(0.1) == "0.1" + + +async def test_token_bucket_limits_rate(): + bucket = TokenBucket(rate_per_s=100.0, burst=5.0) + start = time.monotonic() + # burst of 5 is instant; the next 5 must wait ~ (5/100)s = 50ms + for _ in range(10): + await bucket.acquire(1) + elapsed = time.monotonic() - start + assert elapsed >= 0.04 # had to wait for refill + + +async def test_token_bucket_pressure_rises_when_drained(): + bucket = TokenBucket(rate_per_s=10.0, burst=10.0) + assert bucket.pressure == pytest.approx(0.0, abs=0.01) + for _ in range(10): + await bucket.acquire(1) + assert bucket.pressure > 0.8 + + +async def test_paper_gateway_places_and_cancels_without_wallet(meta): + cfg = Config() # defaults, no secrets + gw = ExecutionGateway(cfg, paper=True) + quotes = [ + Quote(meta.yes.token_id, Side.BUY, 0.49, 100), + Quote(meta.no.token_id, Side.BUY, 0.48, 100), + ] + placed = await gw.place(quotes, meta) + assert len(placed) == 2 + assert all(o.order_id.startswith("paper-") for o in placed) + # cancel is a no-op in paper mode but must not raise + await gw.cancel([o.order_id for o in placed]) + assert await gw.open_orders() == [] + + +async def test_paper_gateway_heartbeat_and_cancel_all_noop(): + gw = ExecutionGateway(Config(), paper=True) + await gw.heartbeat("hb1") + await gw.cancel_all() # no client, must not raise + + +def test_gateway_requires_wallet_for_live_connect(): + from polymaker.config import Secrets + + # explicitly-empty secrets (don't read a real .env that may exist on disk) + cfg = Config(secrets=Secrets(_env_file=None)) + gw = ExecutionGateway(cfg, paper=False) + with pytest.raises(RuntimeError, match="no wallet"): + asyncio.run(gw.connect()) diff --git a/tests/test_live_marketdata.py b/tests/test_live_marketdata.py new file mode 100644 index 0000000..e367bb2 --- /dev/null +++ b/tests/test_live_marketdata.py @@ -0,0 +1,74 @@ +"""Live integration test for the market WS (network-gated). + +Run explicitly with: POLYMAKER_LIVE=1 uv run pytest tests/test_live_marketdata.py +Skipped by default so the unit suite stays offline and fast. +""" + +from __future__ import annotations + +import asyncio +import json +import os + +import httpx +import pytest +import websockets + +pytestmark = pytest.mark.skipif( + os.environ.get("POLYMAKER_LIVE") != "1", reason="live test; set POLYMAKER_LIVE=1" +) + + +async def _top_political_tokens() -> tuple[str, list[str]]: + async with httpx.AsyncClient(timeout=20) as c: + r = await c.get( + "https://gamma-api.polymarket.com/markets", + params={"limit": 1, "closed": "false", "tag_id": 2, + "order": "volume24hr", "ascending": "false"}, + ) + m = r.json()[0] + return m["conditionId"], json.loads(m["clobTokenIds"]) + + +async def test_market_service_builds_a_live_book(): + from polymaker.marketdata.service import MarketDataService + + cond, tokens = await _top_political_tokens() + woken: list[tuple[str, str]] = [] + svc = MarketDataService(on_dirty=lambda c, t: woken.append((c, t))) + svc.set_markets([(cond, tokens)]) + + task = asyncio.create_task(svc.run()) + try: + # wait until at least one token has a two-sided book + for _ in range(60): + await asyncio.sleep(0.5) + if any(not svc.book(t).is_empty for t in tokens): + break + finally: + svc.stop() + task.cancel() + + assert woken, "quoter was never woken by a book event" + live = [t for t in tokens if not svc.book(t).is_empty] + assert live, "no book was populated from the live feed" + book = svc.book(live[0]) + assert book.best_bid() is not None and book.best_ask() is not None + assert book.best_bid().price < book.best_ask().price + + +async def test_live_market_ws_raw_frames(): + """Sanity check the wire format our parser targets hasn't drifted.""" + _, tokens = await _top_political_tokens() + uri = "wss://ws-subscriptions-clob.polymarket.com/ws/market" + async with websockets.connect(uri, ping_interval=5, ping_timeout=None) as ws: + await ws.send(json.dumps({"assets_ids": tokens, "type": "market"})) + got_book = False + for _ in range(10): + raw = await asyncio.wait_for(ws.recv(), timeout=10) + data = json.loads(raw) + for msg in data if isinstance(data, list) else [data]: + if msg.get("event_type") == "book": + assert {"asset_id", "bids", "asks", "hash"} <= set(msg) + got_book = True + assert got_book diff --git a/tests/test_marketdata.py b/tests/test_marketdata.py new file mode 100644 index 0000000..45e49e0 --- /dev/null +++ b/tests/test_marketdata.py @@ -0,0 +1,110 @@ +"""Tests for market-WS parsing and the book service routing.""" + +from __future__ import annotations + +from polymaker.domain import Side +from polymaker.marketdata.parse import ( + parse_book, + parse_last_trade, + parse_price_changes, + parse_tick_size_change, +) +from polymaker.marketdata.service import MarketDataService + +# frames modeled on live captures (2026-07-05) +BOOK = { + "event_type": "book", + "market": "0xcond", + "asset_id": "yes-tok", + "timestamp": "1783270000000", + "hash": "abc123", + "tick_size": "0.01", + "bids": [{"price": "0.48", "size": "100"}, {"price": "0.49", "size": "200"}], + "asks": [{"price": "0.52", "size": "150"}, {"price": "0.51", "size": "80"}], +} +PRICE_CHANGE = { + "event_type": "price_change", + "market": "0xcond", + "timestamp": "1783270001000", + "price_changes": [ + {"asset_id": "yes-tok", "price": "0.49", "size": "0", "side": "BUY", "hash": "h"}, + {"asset_id": "yes-tok", "price": "0.50", "size": "300", "side": "BUY", "hash": "h"}, + ], +} +LAST_TRADE = { + "event_type": "last_trade_price", + "market": "0xcond", + "asset_id": "yes-tok", + "price": "0.50", + "size": "42", + "side": "BUY", + "timestamp": "1783270002000", +} + + +def test_parse_book_converts_ms_and_levels(): + upd = parse_book(BOOK) + assert upd is not None + assert upd.asset_id == "yes-tok" + assert upd.condition_id == "0xcond" + assert (0.49, 200) in upd.bids + assert upd.ts == 1783270000.0 # ms -> s + assert upd.tick_size == 0.01 + + +def test_parse_price_changes(): + changes = parse_price_changes(PRICE_CHANGE) + assert len(changes) == 2 + assert changes[0].side is Side.BUY + assert changes[1].price == 0.50 and changes[1].size == 300 + + +def test_parse_last_trade_aggressor(): + tp = parse_last_trade(LAST_TRADE) + assert tp is not None + assert tp.aggressor is Side.BUY + assert tp.size == 42 + + +def test_parse_tick_size_change(): + tc = parse_tick_size_change( + {"event_type": "tick_size_change", "asset_id": "yes-tok", "new_tick_size": "0.001"} + ) + assert tc is not None and tc.tick_size == 0.001 + + +def test_service_routes_book_and_wakes_quoter(): + woken: list[tuple[str, str]] = [] + svc = MarketDataService(on_dirty=lambda c, t: woken.append((c, t))) + svc.set_markets([("0xcond", ["yes-tok", "no-tok"])]) + svc._dispatch(BOOK) + book = svc.book("yes-tok") + assert book is not None + assert book.best_bid().price == 0.49 + assert book.best_ask().price == 0.51 + assert woken == [("0xcond", "yes-tok")] + + +def test_service_applies_price_change_delta(): + svc = MarketDataService() + svc.set_markets([("0xcond", ["yes-tok"])]) + svc._dispatch(BOOK) + svc._dispatch(PRICE_CHANGE) # removes 0.49 bid, adds 0.50 bid + book = svc.book("yes-tok") + assert book.best_bid().price == 0.50 + assert 0.49 not in book.bids + + +def test_service_ignores_unsubscribed_asset(): + svc = MarketDataService() + svc.set_markets([("0xcond", ["yes-tok"])]) + svc._dispatch({**BOOK, "asset_id": "stranger"}) + assert svc.book("stranger") is None + + +def test_service_forwards_trades_for_flow(): + trades = [] + svc = MarketDataService(on_trade=trades.append) + svc.set_markets([("0xcond", ["yes-tok"])]) + svc._dispatch(LAST_TRADE) + assert len(trades) == 1 and trades[0].aggressor is Side.BUY diff --git a/tests/test_orderbook.py b/tests/test_orderbook.py new file mode 100644 index 0000000..29e39dd --- /dev/null +++ b/tests/test_orderbook.py @@ -0,0 +1,94 @@ +"""Unit tests for the order book and its analytics.""" + +from __future__ import annotations + +import pytest + +from polymaker.domain import Side +from polymaker.marketdata.orderbook import OrderBook, to_no_price + + +def make_book() -> OrderBook: + ob = OrderBook(tick_size=0.01) + ob.apply_snapshot( + bids=[(0.40, 100), (0.41, 200), (0.42, 50)], # best bid 0.42 + asks=[(0.45, 80), (0.46, 150), (0.44, 30)], # best ask 0.44 + ts=1.0, + ) + return ob + + +def test_best_bid_ask(): + ob = make_book() + assert ob.best_bid().price == 0.42 + assert ob.best_bid().size == 50 + assert ob.best_ask().price == 0.44 + assert ob.best_ask().size == 30 + + +def test_apply_delta_add_and_remove(): + ob = make_book() + ob.apply_delta(Side.BUY, 0.43, 25, ts=2.0) + assert ob.best_bid().price == 0.43 + ob.apply_delta(Side.BUY, 0.43, 0, ts=3.0) # size 0 removes the level + assert ob.best_bid().price == 0.42 + assert ob.last_update_ts == 3.0 + + +def test_empty_book_views_are_none(): + ob = OrderBook() + assert ob.best_bid() is None + assert ob.best_ask() is None + assert ob.microprice() is None + assert ob.is_empty + v = ob.view() + assert v.mid is None + assert v.spread is None + assert v.imbalance == 0.0 + + +def test_microprice_pulls_toward_thin_side(): + ob = OrderBook(tick_size=0.01) + # bid side much heavier than ask side -> microprice near the ask + ob.apply_snapshot(bids=[(0.40, 1000)], asks=[(0.42, 10)], ts=1.0) + mp = ob.microprice(levels=1) + assert mp is not None + assert 0.41 < mp <= 0.42 # dragged up toward the thin ask + # symmetric sizes -> mid + ob.apply_snapshot(bids=[(0.40, 100)], asks=[(0.42, 100)], ts=2.0) + assert ob.microprice(levels=1) == pytest.approx(0.41) + + +def test_best_with_min_size_skips_dust(): + ob = OrderBook(tick_size=0.01) + # a dust order (size 1) sits at the touch; real size is one level back + ob.apply_snapshot(bids=[(0.42, 1), (0.41, 500)], asks=[(0.44, 1), (0.45, 500)], ts=1.0) + price, size, top = ob.best_with_min_size(Side.BUY, min_size=5) + assert price == 0.41 and size == 500 + assert top == 0.42 # the dust touch is still reported as top + price, size, top = ob.best_with_min_size(Side.SELL, min_size=5) + assert price == 0.45 and size == 500 + assert top == 0.44 + + +def test_depth_within_band(): + ob = make_book() + # bids at 0.40,0.41,0.42 all within [0.40, 0.42] + assert ob.depth_within(Side.BUY, 0.40, 0.42) == 350 + assert ob.depth_within(Side.BUY, 0.415, 0.42) == 50 + + +def test_view_second_levels_and_imbalance(): + ob = make_book() + v = ob.view(min_size=0.0) + assert v.best_bid == 0.42 + assert v.second_bid == 0.41 + assert v.best_ask == 0.44 + assert v.second_ask == 0.45 + assert -1.0 <= v.imbalance <= 1.0 + + +def test_no_price_mirror(): + assert to_no_price(0.42) == pytest.approx(0.58) + assert to_no_price(0.0) == 1.0 + assert to_no_price(1.0) == 0.0 diff --git a/tests/test_quoting.py b/tests/test_quoting.py new file mode 100644 index 0000000..690dedf --- /dev/null +++ b/tests/test_quoting.py @@ -0,0 +1,187 @@ +"""Unit tests for pure quote construction — the strategy's decision core.""" + +from __future__ import annotations + +import pytest + +from polymaker.domain import Position, Regime, Side +from polymaker.strategy.quoting import ( + QuoteInputs, + compute_fair_value, + construct_quotes, + round_to_tick, +) +from tests.conftest import view + + +def _inputs(meta, profile, **over): + base = dict( + meta=meta, + regime=Regime.QUIET, + fv=0.50, + vol_short=0.0, + toxicity=0.0, + yes_view=view(0.49, 0.51), + no_view=view(0.49, 0.51), + pos_yes=Position("yes-token"), + pos_no=Position("no-token"), + profile=profile, + now=1000.0, + ) + base.update(over) + return QuoteInputs(**base) + + +# ── round_to_tick ────────────────────────────────────────────────────────── + + +def test_round_to_tick_down_and_up(): + assert round_to_tick(0.5049, 0.01, 2, up=False) == 0.50 + assert round_to_tick(0.5051, 0.01, 2, up=True) == 0.51 + # clamps inside (0,1) + assert round_to_tick(0.0, 0.01, 2, up=False) == 0.01 + assert round_to_tick(1.0, 0.01, 2, up=True) == 0.99 + + +def test_compute_fair_value_flow_nudge(): + # positive flow nudges FV up, negative down, no flow = microprice + assert compute_fair_value(0.50, 0.0, 0.01) == pytest.approx(0.50) + assert compute_fair_value(0.50, 1.0, 0.01, weight=0.5) == pytest.approx(0.505) + assert compute_fair_value(0.50, -1.0, 0.01, weight=0.5) == pytest.approx(0.495) + + +# ── two-sided quoting ──────────────────────────────────────────────────────── + + +def test_quiet_market_quotes_both_sides_as_bids(meta, profile): + tq = construct_quotes(_inputs(meta, profile)) + assert tq.regime == Regime.QUIET + yes = [q for q in tq.quotes if q.token_id == "yes-token"] + no = [q for q in tq.quotes if q.token_id == "no-token"] + assert yes and no + # both entry quotes are BUYs (USDC-collateralized two-sided quote) + assert all(q.side == Side.BUY for q in yes) + assert all(q.side == Side.BUY for q in no) + + +def test_pair_prices_sum_below_one(meta, profile): + """BUY YES @ p and BUY NO @ q must satisfy p + q < 1 (merge edge).""" + tq = construct_quotes(_inputs(meta, profile)) + top_yes = max(q.price for q in tq.quotes if q.token_id == "yes-token") + top_no = max(q.price for q in tq.quotes if q.token_id == "no-token") + assert top_yes + top_no < 1.0 + + +def test_never_bids_through_fair_value(meta, profile): + """No BUY should ever sit at or above FV - min_edge (YES) / (1-FV)-min_edge (NO).""" + tq = construct_quotes(_inputs(meta, profile, fv=0.50)) + edge = profile.min_edge_ticks * meta.tick_size + for q in tq.quotes: + if q.side == Side.BUY and q.token_id == "yes-token": + assert q.price <= 0.50 - edge + 1e-9 + if q.side == Side.BUY and q.token_id == "no-token": + assert q.price <= 0.50 - edge + 1e-9 # NO fv is also 0.50 here + + +def test_layers_split_size(meta, profile): + tq = construct_quotes(_inputs(meta, profile)) + yes = sorted((q for q in tq.quotes if q.token_id == "yes-token" and q.side == Side.BUY), + key=lambda q: -q.price) + assert len(yes) == profile.layers + # deeper layer is at a lower price + assert yes[0].price > yes[1].price + + +# ── inventory skew ────────────────────────────────────────────────────────── + + +def test_long_yes_inventory_skews_quotes_down(meta, profile): + """Holding YES should lower the YES bid and raise the NO bid vs flat.""" + flat = construct_quotes(_inputs(meta, profile, vol_short=0.02)) + longy = construct_quotes( + _inputs(meta, profile, vol_short=0.02, pos_yes=Position("yes-token", 300, 0.5)) + ) + + def top(tq, tok): + ps = [q.price for q in tq.quotes if q.token_id == tok and q.side == Side.BUY] + return max(ps) if ps else None + + # YES bid should not be higher when long YES; NO bid should not be lower + assert top(longy, "yes-token") <= top(flat, "yes-token") + assert top(longy, "no-token") >= top(flat, "no-token") + + +def test_reduce_only_emits_only_exits(meta, profile): + tq = construct_quotes( + _inputs( + meta, profile, regime=Regime.REDUCE_ONLY, + pos_yes=Position("yes-token", 100, 0.5), + ) + ) + assert all(q.side == Side.SELL for q in tq.quotes) + assert any(q.token_id == "yes-token" for q in tq.quotes) + + +def test_event_and_halted_pull_all_quotes(meta, profile): + for regime in (Regime.EVENT, Regime.HALTED): + tq = construct_quotes( + _inputs(meta, profile, regime=regime, pos_yes=Position("yes-token", 100, 0.5)) + ) + assert tq.is_empty + + +# ── exits ──────────────────────────────────────────────────────────────────── + + +def test_exit_sell_priced_above_fv_when_not_urgent(meta, profile): + tq = construct_quotes( + _inputs(meta, profile, pos_yes=Position("yes-token", 100, 0.4), yes_exit_urgency=0.0) + ) + sells = [q for q in tq.quotes if q.side == Side.SELL and q.token_id == "yes-token"] + assert sells + assert sells[0].price >= 0.50 # at/above FV, a passive maker exit + + +def test_exit_never_below_best_bid(meta, profile): + tq = construct_quotes( + _inputs( + meta, profile, + pos_yes=Position("yes-token", 100, 0.4), + yes_view=view(0.49, 0.51), + yes_exit_urgency=1.0, # maximally urgent + ) + ) + sells = [q for q in tq.quotes if q.side == Side.SELL and q.token_id == "yes-token"] + assert sells + assert sells[0].price >= 0.49 # still a maker order, never crosses down + + +def test_no_exit_when_position_is_dust(meta, profile): + tq = construct_quotes( + _inputs(meta, profile, pos_yes=Position("yes-token", 1.0, 0.4)) # below min_order_size + ) + assert not [q for q in tq.quotes if q.side == Side.SELL] + + +# ── spread widening ────────────────────────────────────────────────────────── + + +def test_toxicity_widens_spread(meta, profile): + """Higher toxicity should push the YES bid lower (wider spread).""" + calm = construct_quotes(_inputs(meta, profile, regime=Regime.TRENDING, toxicity=0.0)) + toxic = construct_quotes(_inputs(meta, profile, regime=Regime.TRENDING, toxicity=0.02)) + + def top_yes(tq): + ps = [q.price for q in tq.quotes if q.token_id == "yes-token" and q.side == Side.BUY] + return max(ps) if ps else None + + assert top_yes(toxic) < top_yes(calm) + + +def test_quiet_regime_clamps_spread_to_reward_band(meta, profile): + """In QUIET, even with high vol the bid stays within the reward band of FV.""" + tq = construct_quotes(_inputs(meta, profile, regime=Regime.QUIET, vol_short=0.5)) + band = meta.rewards_max_spread / 100.0 # 0.03 + top_yes = max(q.price for q in tq.quotes if q.token_id == "yes-token" and q.side == Side.BUY) + # bid should be within (band + a tick of rounding) of FV + assert top_yes >= 0.50 - band - meta.tick_size diff --git a/tests/test_regime.py b/tests/test_regime.py new file mode 100644 index 0000000..66b9d2f --- /dev/null +++ b/tests/test_regime.py @@ -0,0 +1,74 @@ +"""Unit tests for the regime state machine.""" + +from __future__ import annotations + +from polymaker.config import StrategyProfile +from polymaker.domain import Regime +from polymaker.strategy.regime import RegimeInputs, RegimeMachine + + +def _inp(**over): + base = dict( + now=1000.0, + tick=0.01, + fv=0.50, + prev_fv=0.50, + vol_ratio=1.0, + flow_z=0.0, + inventory_util=0.0, + hours_to_end=1000.0, + ) + base.update(over) + return RegimeInputs(**base) + + +def test_default_is_quiet(): + p = StrategyProfile() + assert RegimeMachine().decide(_inp(), p) == Regime.QUIET + + +def test_halts_take_priority(): + p = StrategyProfile() + m = RegimeMachine() + assert m.decide(_inp(risk_halt=True), p) == Regime.HALTED + assert m.decide(_inp(ws_stale=True), p) == Regime.HALTED + assert m.decide(_inp(market_resolved=True), p) == Regime.HALTED + assert m.decide(_inp(hours_to_end=1.0), p) == Regime.HALTED # inside halt window + + +def test_fv_jump_triggers_event_and_cooloff(): + p = StrategyProfile() # event_jump_ticks=8, cooloff=60 + m = RegimeMachine() + # jump of 0.10 = 10 ticks > 8 -> EVENT + assert m.decide(_inp(fv=0.60, prev_fv=0.50), p) == Regime.EVENT + # still in cooloff a moment later even without a jump + assert m.decide(_inp(now=1030.0, fv=0.60, prev_fv=0.60), p) == Regime.EVENT + # after cooloff expires, back to quiet + assert m.decide(_inp(now=1100.0, fv=0.60, prev_fv=0.60), p) == Regime.QUIET + + +def test_sweep_flag_triggers_event(): + p = StrategyProfile() + assert RegimeMachine().decide(_inp(sweep_flagged=True), p) == Regime.EVENT + + +def test_reduce_only_from_inventory_and_enddate(): + p = StrategyProfile() # reduce_only_hours=24 + m = RegimeMachine() + assert m.decide(_inp(inventory_util=1.0), p) == Regime.REDUCE_ONLY + assert m.decide(_inp(risk_reduce_only=True), p) == Regime.REDUCE_ONLY + assert m.decide(_inp(hours_to_end=12.0), p) == Regime.REDUCE_ONLY + + +def test_trending_from_flow_and_vol(): + p = StrategyProfile() # trend_flow_z=1.5 + m = RegimeMachine() + assert m.decide(_inp(flow_z=2.0), p) == Regime.TRENDING + assert m.decide(_inp(vol_ratio=3.0), p) == Regime.TRENDING + + +def test_event_beats_reduce_only_and_trending(): + p = StrategyProfile() + m = RegimeMachine() + r = m.decide(_inp(sweep_flagged=True, inventory_util=1.0, flow_z=5.0), p) + assert r == Regime.EVENT diff --git a/tests/test_risk.py b/tests/test_risk.py new file mode 100644 index 0000000..337f366 --- /dev/null +++ b/tests/test_risk.py @@ -0,0 +1,86 @@ +"""Tests for the RiskManager gates and circuit breakers.""" + +from __future__ import annotations + +from polymaker.config import RiskConfig +from polymaker.domain import Fill, Side +from polymaker.risk.manager import RiskManager +from polymaker.state.store import StateStore + + +def _rm(tmp_path, **over): + cfg = RiskConfig(**{ + "max_total_exposure_usdc": 5000, "max_market_notional_usdc": 800, + "max_event_group_loss_usdc": 1000, "daily_loss_kill_usdc": 250, + **over, + }) + store = StateStore(tmp_path / "s.db") + return RiskManager(cfg, store), store + + +def test_daily_loss_kill_switch(tmp_path, meta): + rm, store = _rm(tmp_path) + # buy 1000 shares @ 0.50 -> -500 cash, +1000 inventory + store.apply_fill(Fill(meta.yes.token_id, Side.BUY, 0.50, 1000, "t1")) + rm.note_fill(Fill(meta.yes.token_id, Side.BUY, 0.50, 1000, "t1")) + rm.update_mark(meta.yes.token_id, 0.50) + rm.reset_day() + assert rm.global_halt()[0] is False + # fair value collapses to 0.20 -> unrealized loss 300 > 250 kill + rm.update_mark(meta.yes.token_id, 0.20) + halted, why = rm.global_halt() + assert halted and "daily_loss" in why + store.close() + + +def test_market_cap_triggers_reduce_only(tmp_path, meta): + rm, store = _rm(tmp_path, max_market_notional_usdc=100) + store.apply_fill(Fill(meta.yes.token_id, Side.BUY, 0.50, 300, "t1")) # 150 notional > 100 + rm.update_mark(meta.yes.token_id, 0.50) + rm.update_mark(meta.no.token_id, 0.50) + d = rm.evaluate(meta, ws_stale=False, event_group_cost=0.0) + assert d.reduce_only and d.reason == "market_cap" + store.close() + + +def test_ws_stale_halts_market(tmp_path, meta): + rm, store = _rm(tmp_path) + d = rm.evaluate(meta, ws_stale=True, event_group_cost=0.0) + assert d.halt and d.reason == "ws_stale" + store.close() + + +def test_size_scale_tapers_near_cap(tmp_path, meta): + rm, store = _rm(tmp_path, max_market_notional_usdc=100) + # 85 notional -> 85% of cap -> should scale below 1.0 but not reduce-only + store.apply_fill(Fill(meta.yes.token_id, Side.BUY, 0.50, 170, "t1")) # 85 notional + rm.update_mark(meta.yes.token_id, 0.50) + rm.update_mark(meta.no.token_id, 0.50) + d = rm.evaluate(meta, ws_stale=False, event_group_cost=0.0) + assert not d.reduce_only + assert 0.0 < d.size_scale < 1.0 + store.close() + + +def test_event_group_cap(tmp_path, meta): + rm, store = _rm(tmp_path, max_event_group_loss_usdc=50) + d = rm.evaluate(meta, ws_stale=False, event_group_cost=60.0) + assert d.reduce_only and d.reason == "event_group_cap" + store.close() + + +def test_error_rate_breaker(tmp_path, meta): + rm, store = _rm(tmp_path, max_order_error_rate=0.25) + for _ in range(15): + rm.note_order_result(False) + for _ in range(10): + rm.note_order_result(True) # 15/25 = 0.6 > 0.25 + assert rm.global_halt()[0] is True + store.close() + + +def test_manual_kill(tmp_path, meta): + rm, store = _rm(tmp_path) + rm.kill() + assert rm.global_halt() == (True, "manual_kill") + store.close() diff --git a/tests/test_state.py b/tests/test_state.py new file mode 100644 index 0000000..0c40f26 --- /dev/null +++ b/tests/test_state.py @@ -0,0 +1,171 @@ +"""Tests for StateStore, the user-event tracker, and the reconciler.""" + +from __future__ import annotations + +from polymaker.domain import ( + Fill, + OpenOrder, + OrderState, + Quote, + Regime, + Side, + TargetQuotes, + TradeState, +) +from polymaker.execution.reconciler import reconcile +from polymaker.state.store import StateStore +from polymaker.state.tracker import OrderEvent, TradeEvent, UserEventProcessor + +# ── StateStore ────────────────────────────────────────────────────────────── + + +def test_apply_fill_updates_size_and_avg(tmp_path): + s = StateStore(tmp_path / "s.db") + s.apply_fill(Fill("tok", Side.BUY, 0.50, 100, "t1")) + assert s.position("tok").size == 100 + assert s.position("tok").avg_price == 0.50 + # buy more at a higher price -> weighted avg + s.apply_fill(Fill("tok", Side.BUY, 0.60, 100, "t2")) + assert s.position("tok").size == 200 + assert abs(s.position("tok").avg_price - 0.55) < 1e-9 + # sell reduces size, avg unchanged + s.apply_fill(Fill("tok", Side.SELL, 0.70, 50, "t3")) + assert s.position("tok").size == 150 + assert abs(s.position("tok").avg_price - 0.55) < 1e-9 + s.close() + + +def test_sell_to_flat_resets_avg(tmp_path): + s = StateStore(tmp_path / "s.db") + s.apply_fill(Fill("tok", Side.BUY, 0.5, 100, "t1")) + s.apply_fill(Fill("tok", Side.SELL, 0.6, 100, "t2")) + assert s.position("tok").size == 0 + assert s.position("tok").avg_price == 0.0 + s.close() + + +def test_reconcile_positions_skips_inflight_and_recent(tmp_path): + s = StateStore(tmp_path / "s.db") + s.mark_inflight("tok") + s.reconcile_positions({"tok": (999.0, 0.9)}) # ignored: in-flight + assert s.position("tok").size == 0 + s.clear_inflight("tok") + # still recent fill guard: simulate no recent fill by using a fresh token + s.reconcile_positions({"other": (42.0, 0.3)}) + assert s.position("other").size == 42.0 + s.close() + + +def test_state_persists_across_restart(tmp_path): + db = tmp_path / "s.db" + s = StateStore(db) + s.apply_fill(Fill("tok", Side.BUY, 0.5, 100, "t1")) + s.close() + s2 = StateStore(db) + assert s2.position("tok").size == 100 + s2.close() + + +# ── UserEventProcessor ─────────────────────────────────────────────────────── + + +def test_matched_then_confirmed(tmp_path): + s = StateStore(tmp_path / "s.db") + changed: list[str] = [] + p = UserEventProcessor(s, on_change=changed.append) + p.on_trade(TradeEvent("tok", Side.BUY, 0.5, 100, "trade1", TradeState.MATCHED, 1.0), "cid") + assert s.position("tok").size == 100 + assert s.inflight("tok") == 1 + p.on_trade(TradeEvent("tok", Side.BUY, 0.5, 100, "trade1", TradeState.CONFIRMED, 2.0), "cid") + assert s.inflight("tok") == 0 + assert s.position("tok").size == 100 # settled + assert changed == ["cid", "cid"] + s.close() + + +def test_matched_is_idempotent(tmp_path): + s = StateStore(tmp_path / "s.db") + p = UserEventProcessor(s) + ev = TradeEvent("tok", Side.BUY, 0.5, 100, "trade1", TradeState.MATCHED, 1.0) + p.on_trade(ev, "cid") + p.on_trade(ev, "cid") # duplicate MATCHED for same trade id + assert s.position("tok").size == 100 # not doubled + s.close() + + +def test_failed_trade_reverses_fill(tmp_path): + s = StateStore(tmp_path / "s.db") + p = UserEventProcessor(s) + p.on_trade(TradeEvent("tok", Side.BUY, 0.5, 100, "trade1", TradeState.MATCHED, 1.0), "cid") + assert s.position("tok").size == 100 + p.on_trade(TradeEvent("tok", Side.BUY, 0.5, 100, "trade1", TradeState.FAILED, 2.0), "cid") + assert s.position("tok").size == 0 # rolled back + assert s.inflight("tok") == 0 + s.close() + + +def test_order_event_upsert_and_cancel(tmp_path): + s = StateStore(tmp_path / "s.db") + p = UserEventProcessor(s) + p.on_order(OrderEvent("o1", "tok", Side.BUY, 0.49, 100), "cid") + assert len(s.orders_for("tok")) == 1 + p.on_order(OrderEvent("o1", "tok", Side.BUY, 0.49, 0, is_cancel=True), "cid") + assert len(s.orders_for("tok")) == 0 + s.close() + + +# ── reconciler ─────────────────────────────────────────────────────────────── + + +def _live(order_id, token, side, price, size): + return OpenOrder(order_id, token, side, price, size, OrderState.LIVE) + + +def test_reconcile_places_when_no_live(): + tq = TargetQuotes("cid", Regime.QUIET, (Quote("tok", Side.BUY, 0.49, 100),)) + plan = reconcile(tq, [], tick=0.01, reprice_ticks=2, resize_frac=0.15) + assert len(plan.to_place) == 1 + assert plan.to_cancel == [] + + +def test_reconcile_keeps_close_order(): + tq = TargetQuotes("cid", Regime.QUIET, (Quote("tok", Side.BUY, 0.49, 100),)) + live = [_live("o1", "tok", Side.BUY, 0.49, 102)] # within tolerances + plan = reconcile(tq, live, tick=0.01, reprice_ticks=2, resize_frac=0.15) + assert plan.is_noop + + +def test_reconcile_reprices_when_far(): + tq = TargetQuotes("cid", Regime.QUIET, (Quote("tok", Side.BUY, 0.45, 100),)) + live = [_live("o1", "tok", Side.BUY, 0.49, 100)] # 4 ticks away > 2 + plan = reconcile(tq, live, tick=0.01, reprice_ticks=2, resize_frac=0.15) + assert plan.to_cancel == ["o1"] + assert len(plan.to_place) == 1 + + +def test_reconcile_resizes_when_size_drifts(): + tq = TargetQuotes("cid", Regime.QUIET, (Quote("tok", Side.BUY, 0.49, 100),)) + live = [_live("o1", "tok", Side.BUY, 0.49, 50)] # 50% smaller > 15% + plan = reconcile(tq, live, tick=0.01, reprice_ticks=2, resize_frac=0.15) + assert plan.to_cancel == ["o1"] + assert len(plan.to_place) == 1 + + +def test_reconcile_cancels_all_when_target_empty(): + tq = TargetQuotes("cid", Regime.EVENT, ()) + live = [_live("o1", "tok", Side.BUY, 0.49, 100), _live("o2", "tok", Side.SELL, 0.55, 50)] + plan = reconcile(tq, live, tick=0.01, reprice_ticks=2, resize_frac=0.15) + assert set(plan.to_cancel) == {"o1", "o2"} + assert plan.to_place == [] + + +def test_reconcile_matches_layers_one_to_one(): + tq = TargetQuotes("cid", Regime.QUIET, ( + Quote("tok", Side.BUY, 0.49, 100), + Quote("tok", Side.BUY, 0.47, 100), + )) + live = [_live("o1", "tok", Side.BUY, 0.49, 100)] # only the top layer exists + plan = reconcile(tq, live, tick=0.01, reprice_ticks=2, resize_frac=0.15) + assert plan.to_cancel == [] + assert len(plan.to_place) == 1 # only the missing deeper layer + assert plan.to_place[0].price == 0.47 diff --git a/tests/test_userstream_parse.py b/tests/test_userstream_parse.py new file mode 100644 index 0000000..5406a08 --- /dev/null +++ b/tests/test_userstream_parse.py @@ -0,0 +1,88 @@ +"""Tests for user-WS normalization (maker fill extraction + order tracking). + +Frames modeled on v1's observed shape; reconfirm field names in the wallet spike. +""" + +from __future__ import annotations + +from polymaker.domain import Side, TradeState +from polymaker.userstream.parse import normalize_order, normalize_trade + +OUR = "0xMyWallet" + + +def _other(token: str) -> str | None: + return {"yes-tok": "no-tok", "no-tok": "yes-tok"}.get(token) + + +def test_maker_same_outcome_is_a_sell(): + # taker BUYs YES; we are the maker on YES -> we SELL YES + msg = { + "event_type": "trade", + "market": "0xcond", + "asset_id": "yes-tok", + "side": "BUY", + "outcome": "Yes", + "status": "MATCHED", + "id": "trade1", + "timestamp": "1700000000000", + "maker_orders": [ + {"maker_address": OUR, "matched_amount": "50", "price": "0.49", "outcome": "Yes"} + ], + } + evs = normalize_trade(msg, OUR, _other) + assert len(evs) == 1 + ev = evs[0] + assert ev.token_id == "yes-tok" + assert ev.our_side is Side.SELL + assert ev.size == 50 and ev.price == 0.49 + assert ev.status is TradeState.MATCHED + + +def test_maker_different_outcome_is_a_mint_buy(): + # taker BUYs YES; we are the maker on NO -> a mint: we BUY NO + msg = { + "event_type": "trade", + "market": "0xcond", + "asset_id": "yes-tok", + "side": "BUY", + "outcome": "Yes", + "status": "MATCHED", + "id": "trade2", + "timestamp": "1700000000000", + "maker_orders": [ + {"maker_address": OUR, "matched_amount": "30", "price": "0.51", "outcome": "No"} + ], + } + evs = normalize_trade(msg, OUR, _other) + assert len(evs) == 1 + assert evs[0].token_id == "no-tok" + assert evs[0].our_side is Side.BUY + assert evs[0].size == 30 + + +def test_ignores_maker_orders_that_are_not_ours(): + msg = { + "event_type": "trade", "market": "0xcond", "asset_id": "yes-tok", "side": "BUY", + "outcome": "Yes", "status": "MATCHED", "id": "t", "timestamp": "1700000000000", + "maker_orders": [ + {"maker_address": "0xSomeoneElse", "matched_amount": "50", "price": "0.49", "outcome": "Yes"} + ], + } + assert normalize_trade(msg, OUR, _other) == [] + + +def test_normalize_order_remaining_and_cancel(): + ev = normalize_order({ + "event_type": "order", "asset_id": "yes-tok", "side": "BUY", "price": "0.49", + "original_size": "100", "size_matched": "40", "status": "LIVE", "id": "o1", + }) + assert ev is not None + assert ev.remaining_size == 60 + assert ev.is_cancel is False + + cancel = normalize_order({ + "event_type": "order", "asset_id": "yes-tok", "side": "BUY", "price": "0.49", + "original_size": "100", "size_matched": "0", "status": "CANCELED", "id": "o1", + }) + assert cancel is not None and cancel.is_cancel is True diff --git a/trading.py b/trading.py deleted file mode 100644 index 6ed67ca..0000000 --- a/trading.py +++ /dev/null @@ -1,471 +0,0 @@ -import gc # Garbage collection -import os # Operating system interface -import json # JSON handling -import asyncio # Asynchronous I/O -import traceback # Exception handling -import pandas as pd # Data analysis library -import math # Mathematical functions - -import poly_data.global_state as global_state -import poly_data.CONSTANTS as CONSTANTS - -# Import utility functions for trading -from poly_data.trading_utils import get_best_bid_ask_deets, get_order_prices, get_buy_sell_amount, round_down, round_up -from poly_data.data_utils import get_position, get_order, set_position - -# Create directory for storing position risk information -if not os.path.exists('positions/'): - os.makedirs('positions/') - -def send_buy_order(order): - """ - Create a BUY order for a specific token. - - This function: - 1. Cancels any existing orders for the token - 2. Checks if the order price is within acceptable range - 3. Creates a new buy order if conditions are met - - Args: - order (dict): Order details including token, price, size, and market parameters - """ - client = global_state.client - - # Only cancel existing orders if we need to make significant changes - existing_buy_size = order['orders']['buy']['size'] - existing_buy_price = order['orders']['buy']['price'] - - # Cancel orders if price changed significantly or size needs major adjustment - price_diff = abs(existing_buy_price - order['price']) if existing_buy_price > 0 else float('inf') - size_diff = abs(existing_buy_size - order['size']) if existing_buy_size > 0 else float('inf') - - should_cancel = ( - price_diff > 0.005 or # Cancel if price diff > 0.5 cents - size_diff > order['size'] * 0.1 or # Cancel if size diff > 10% - existing_buy_size == 0 # Cancel if no existing buy order - ) - - if should_cancel and (existing_buy_size > 0 or order['orders']['sell']['size'] > 0): - print(f"Cancelling buy orders - price diff: {price_diff:.4f}, size diff: {size_diff:.1f}") - client.cancel_all_asset(order['token']) - elif not should_cancel: - print(f"Keeping existing buy orders - minor changes: price diff: {price_diff:.4f}, size diff: {size_diff:.1f}") - return # Don't place new order if existing one is fine - - # Calculate minimum acceptable price based on market spread - incentive_start = order['mid_price'] - order['max_spread']/100 - - trade = True - - # Don't place orders that are below incentive threshold - if order['price'] < incentive_start: - trade = False - - if trade: - # Only place orders with prices between 0.1 and 0.9 to avoid extreme positions - if order['price'] >= 0.1 and order['price'] < 0.9: - print(f'Creating new order for {order["size"]} at {order["price"]}') - print(order['token'], 'BUY', order['price'], order['size']) - client.create_order( - order['token'], - 'BUY', - order['price'], - order['size'], - True if order['neg_risk'] == 'TRUE' else False - ) - else: - print("Not creating buy order because its outside acceptable price range (0.1-0.9)") - else: - print(f'Not creating new order because order price of {order["price"]} is less than incentive start price of {incentive_start}. Mid price is {order["mid_price"]}') - - -def send_sell_order(order): - """ - Create a SELL order for a specific token. - - This function: - 1. Cancels any existing orders for the token - 2. Creates a new sell order with the specified parameters - - Args: - order (dict): Order details including token, price, size, and market parameters - """ - client = global_state.client - - # Only cancel existing orders if we need to make significant changes - existing_sell_size = order['orders']['sell']['size'] - existing_sell_price = order['orders']['sell']['price'] - - # Cancel orders if price changed significantly or size needs major adjustment - price_diff = abs(existing_sell_price - order['price']) if existing_sell_price > 0 else float('inf') - size_diff = abs(existing_sell_size - order['size']) if existing_sell_size > 0 else float('inf') - - should_cancel = ( - price_diff > 0.005 or # Cancel if price diff > 0.5 cents - size_diff > order['size'] * 0.1 or # Cancel if size diff > 10% - existing_sell_size == 0 # Cancel if no existing sell order - ) - - if should_cancel and (existing_sell_size > 0 or order['orders']['buy']['size'] > 0): - print(f"Cancelling sell orders - price diff: {price_diff:.4f}, size diff: {size_diff:.1f}") - client.cancel_all_asset(order['token']) - elif not should_cancel: - print(f"Keeping existing sell orders - minor changes: price diff: {price_diff:.4f}, size diff: {size_diff:.1f}") - return # Don't place new order if existing one is fine - - print(f'Creating new order for {order["size"]} at {order["price"]}') - client.create_order( - order['token'], - 'SELL', - order['price'], - order['size'], - True if order['neg_risk'] == 'TRUE' else False - ) - -# Dictionary to store locks for each market to prevent concurrent trading on the same market -market_locks = {} - -async def perform_trade(market): - """ - Main trading function that handles market making for a specific market. - - This function: - 1. Merges positions when possible to free up capital - 2. Analyzes the market to determine optimal bid/ask prices - 3. Manages buy and sell orders based on position size and market conditions - 4. Implements risk management with stop-loss and take-profit logic - - Args: - market (str): The market ID to trade on - """ - # Create a lock for this market if it doesn't exist - if market not in market_locks: - market_locks[market] = asyncio.Lock() - - # Use lock to prevent concurrent trading on the same market - async with market_locks[market]: - try: - client = global_state.client - # Get market details from the configuration - row = global_state.df[global_state.df['condition_id'] == market].iloc[0] - # Determine decimal precision from tick size - round_length = len(str(row['tick_size']).split(".")[1]) - - # Get trading parameters for this market type - params = global_state.params[row['param_type']] - - # Create a list with both outcomes for the market - deets = [ - {'name': 'token1', 'token': row['token1'], 'answer': row['answer1']}, - {'name': 'token2', 'token': row['token2'], 'answer': row['answer2']} - ] - print(f"\n\n{pd.Timestamp.utcnow().tz_localize(None)}: {row['question']}") - - # Get current positions for both outcomes - pos_1 = get_position(row['token1'])['size'] - pos_2 = get_position(row['token2'])['size'] - - # ------- POSITION MERGING LOGIC ------- - # Calculate if we have opposing positions that can be merged - amount_to_merge = min(pos_1, pos_2) - - # Only merge if positions are above minimum threshold - if float(amount_to_merge) > CONSTANTS.MIN_MERGE_SIZE: - # Get exact position sizes from blockchain for merging - pos_1 = client.get_position(row['token1'])[0] - pos_2 = client.get_position(row['token2'])[0] - amount_to_merge = min(pos_1, pos_2) - scaled_amt = amount_to_merge / 10**6 - - if scaled_amt > CONSTANTS.MIN_MERGE_SIZE: - print(f"Position 1 is of size {pos_1} and Position 2 is of size {pos_2}. Merging positions") - # Execute the merge operation - client.merge_positions(amount_to_merge, market, row['neg_risk'] == 'TRUE') - # Update our local position tracking - set_position(row['token1'], 'SELL', scaled_amt, 0, 'merge') - set_position(row['token2'], 'SELL', scaled_amt, 0, 'merge') - - # ------- TRADING LOGIC FOR EACH OUTCOME ------- - # Loop through both outcomes in the market (YES and NO) - for detail in deets: - token = int(detail['token']) - - # Get current orders for this token - orders = get_order(token) - - # Get market depth and price information - deets = get_best_bid_ask_deets(market, detail['name'], 100, 0.1) - - #if deet has None for one these values below, call it with min size of 20 - if deets['best_bid'] is None or deets['best_ask'] is None or deets['best_bid_size'] is None or deets['best_ask_size'] is None: - deets = get_best_bid_ask_deets(market, detail['name'], 20, 0.1) - - # Extract all order book details - best_bid = deets['best_bid'] - best_bid_size = deets['best_bid_size'] - second_best_bid = deets['second_best_bid'] - second_best_bid_size = deets['second_best_bid_size'] - top_bid = deets['top_bid'] - best_ask = deets['best_ask'] - best_ask_size = deets['best_ask_size'] - second_best_ask = deets['second_best_ask'] - second_best_ask_size = deets['second_best_ask_size'] - top_ask = deets['top_ask'] - - # Round prices to appropriate precision - best_bid = round(best_bid, round_length) - best_ask = round(best_ask, round_length) - - # Calculate ratio of buy vs sell liquidity in the market - try: - overall_ratio = (deets['bid_sum_within_n_percent']) / (deets['ask_sum_within_n_percent']) - except: - overall_ratio = 0 - - try: - second_best_bid = round(second_best_bid, round_length) - second_best_ask = round(second_best_ask, round_length) - except: - pass - - top_bid = round(top_bid, round_length) - top_ask = round(top_ask, round_length) - - # Get our current position and average price - pos = get_position(token) - position = pos['size'] - avgPrice = pos['avgPrice'] - - position = round_down(position, 2) - - # Calculate optimal bid and ask prices based on market conditions - bid_price, ask_price = get_order_prices( - best_bid, best_bid_size, top_bid, best_ask, - best_ask_size, top_ask, avgPrice, row - ) - - bid_price = round(bid_price, round_length) - ask_price = round(ask_price, round_length) - - # Calculate mid price for reference - mid_price = (top_bid + top_ask) / 2 - - # Log market conditions for this outcome - print(f"\nFor {detail['answer']}. Orders: {orders} Position: {position}, " - f"avgPrice: {avgPrice}, Best Bid: {best_bid}, Best Ask: {best_ask}, " - f"Bid Price: {bid_price}, Ask Price: {ask_price}, Mid Price: {mid_price}") - - # Get position for the opposite token to calculate total exposure - other_token = global_state.REVERSE_TOKENS[str(token)] - other_position = get_position(other_token)['size'] - - # Calculate how much to buy or sell based on our position - buy_amount, sell_amount = get_buy_sell_amount(position, bid_price, row, other_position) - - # Get max_size for logging (same logic as in get_buy_sell_amount) - max_size = row.get('max_size', row['trade_size']) - - # Prepare order object with all necessary information - order = { - "token": token, - "mid_price": mid_price, - "neg_risk": row['neg_risk'], - "max_spread": row['max_spread'], - 'orders': orders, - 'token_name': detail['name'], - 'row': row - } - - print(f"Position: {position}, Other Position: {other_position}, " - f"Trade Size: {row['trade_size']}, Max Size: {max_size}, " - f"buy_amount: {buy_amount}, sell_amount: {sell_amount}") - - # File to store risk management information for this market - fname = 'positions/' + str(market) + '.json' - - # ------- SELL ORDER LOGIC ------- - if sell_amount > 0: - # Skip if we have no average price (no real position) - if avgPrice == 0: - print("Avg Price is 0. Skipping") - continue - - order['size'] = sell_amount - order['price'] = ask_price - - # Get fresh market data for risk assessment - n_deets = get_best_bid_ask_deets(market, detail['name'], 100, 0.1) - - # Calculate current market price and spread - mid_price = round_up((n_deets['best_bid'] + n_deets['best_ask']) / 2, round_length) - spread = round(n_deets['best_ask'] - n_deets['best_bid'], 2) - - # Calculate current profit/loss on position - pnl = (mid_price - avgPrice) / avgPrice * 100 - - print(f"Mid Price: {mid_price}, Spread: {spread}, PnL: {pnl}") - - # Prepare risk details for tracking - risk_details = { - 'time': str(pd.Timestamp.utcnow().tz_localize(None)), - 'question': row['question'] - } - - try: - ratio = (n_deets['bid_sum_within_n_percent']) / (n_deets['ask_sum_within_n_percent']) - except: - ratio = 0 - - pos_to_sell = sell_amount # Amount to sell in risk-off scenario - - # ------- STOP-LOSS LOGIC ------- - # Trigger stop-loss if either: - # 1. PnL is below threshold and spread is tight enough to exit - # 2. Volatility is too high - if (pnl < params['stop_loss_threshold'] and spread <= params['spread_threshold']) or row['3_hour'] > params['volatility_threshold']: - risk_details['msg'] = (f"Selling {pos_to_sell} because spread is {spread} and pnl is {pnl} " - f"and ratio is {ratio} and 3 hour volatility is {row['3_hour']}") - print("Stop loss Triggered: ", risk_details['msg']) - - # Sell at market best bid to ensure execution - order['size'] = pos_to_sell - order['price'] = n_deets['best_bid'] - - # Set period to avoid trading after stop-loss - risk_details['sleep_till'] = str(pd.Timestamp.utcnow().tz_localize(None) + - pd.Timedelta(hours=params['sleep_period'])) - - print("Risking off") - send_sell_order(order) - client.cancel_all_market(market) - - # Save risk details to file - open(fname, 'w').write(json.dumps(risk_details)) - continue - - # ------- BUY ORDER LOGIC ------- - # Get max_size, defaulting to trade_size if not specified - max_size = row.get('max_size', row['trade_size']) - - # Only buy if: - # 1. Position is less than max_size (new logic) - # 2. Position is less than absolute cap (250) - # 3. Buy amount is above minimum size - if position < max_size and position < 250 and buy_amount > 0 and buy_amount >= row['min_size']: - # Get reference price from market data - sheet_value = row['best_bid'] - - if detail['name'] == 'token2': - sheet_value = 1 - row['best_ask'] - - sheet_value = round(sheet_value, round_length) - order['size'] = buy_amount - order['price'] = bid_price - - # Check if price is far from reference - price_change = abs(order['price'] - sheet_value) - - send_buy = True - - # ------- RISK-OFF PERIOD CHECK ------- - # If we're in a risk-off period (after stop-loss), don't buy - if os.path.isfile(fname): - risk_details = json.load(open(fname)) - - start_trading_at = pd.to_datetime(risk_details['sleep_till']) - current_time = pd.Timestamp.utcnow().tz_localize(None) - - print(risk_details, current_time, start_trading_at) - if current_time < start_trading_at: - send_buy = False - print(f"Not sending a buy order because recently risked off. " - f"Risked off at {risk_details['time']}") - - # Only proceed if we're not in risk-off period - if send_buy: - # Don't buy if volatility is high or price is far from reference - if row['3_hour'] > params['volatility_threshold'] or price_change >= 0.05: - print(f'3 Hour Volatility of {row["3_hour"]} is greater than max volatility of ' - f'{params["volatility_threshold"]} or price of {order["price"]} is outside ' - f'0.05 of {sheet_value}. Cancelling all orders') - client.cancel_all_asset(order['token']) - else: - # Check for reverse position (holding opposite outcome) - rev_token = global_state.REVERSE_TOKENS[str(token)] - rev_pos = get_position(rev_token) - - # If we have significant opposing position, don't buy more - if rev_pos['size'] > row['min_size']: - print("Bypassing creation of new buy order because there is a reverse position") - if orders['buy']['size'] > CONSTANTS.MIN_MERGE_SIZE: - print("Cancelling buy orders because there is a reverse position") - client.cancel_all_asset(order['token']) - - continue - - # Check market buy/sell volume ratio - if overall_ratio < 0: - send_buy = False - print(f"Not sending a buy order because overall ratio is {overall_ratio}") - client.cancel_all_asset(order['token']) - else: - # Place new buy order if any of these conditions are met: - # 1. We can get a better price than current order - if best_bid > orders['buy']['price']: - print(f"Sending Buy Order for {token} because better price. " - f"Orders look like this: {orders['buy']}. Best Bid: {best_bid}") - send_buy_order(order) - # 2. Current position + orders is not enough to reach max_size - elif position + orders['buy']['size'] < 0.95 * max_size: - print(f"Sending Buy Order for {token} because not enough position + size") - send_buy_order(order) - # 3. Our current order is too large and needs to be resized - elif orders['buy']['size'] > order['size'] * 1.01: - print(f"Resending buy orders because open orders are too large") - send_buy_order(order) - # Commented out logic for cancelling orders when market conditions change - # elif best_bid_size < orders['buy']['size'] * 0.98 and abs(best_bid - second_best_bid) > 0.03: - # print(f"Cancelling buy orders because best size is less than 90% of open orders and spread is too large") - # global_state.client.cancel_all_asset(order['token']) - - # ------- TAKE PROFIT / SELL ORDER MANAGEMENT ------- - elif sell_amount > 0: - order['size'] = sell_amount - - # Calculate take-profit price based on average cost - tp_price = round_up(avgPrice + (avgPrice * params['take_profit_threshold']/100), round_length) - order['price'] = round_up(tp_price if ask_price < tp_price else ask_price, round_length) - - tp_price = float(tp_price) - order_price = float(orders['sell']['price']) - - # Calculate % difference between current order and ideal price - diff = abs(order_price - tp_price)/tp_price * 100 - - # Update sell order if: - # 1. Current order price is significantly different from target - if diff > 2: - print(f"Sending Sell Order for {token} because better current order price of " - f"{order_price} is deviant from the tp_price of {tp_price} and diff is {diff}") - send_sell_order(order) - # 2. Current order size is too small for our position - elif orders['sell']['size'] < position * 0.97: - print(f"Sending Sell Order for {token} because not enough sell size. " - f"Position: {position}, Sell Size: {orders['sell']['size']}") - send_sell_order(order) - - # Commented out additional conditions for updating sell orders - # elif orders['sell']['price'] < ask_price: - # print(f"Updating Sell Order for {token} because its not at the right price") - # send_sell_order(order) - # elif best_ask_size < orders['sell']['size'] * 0.98 and abs(best_ask - second_best_ask) > 0.03...: - # print(f"Cancelling sell orders because best size is less than 90% of open orders...") - # send_sell_order(order) - - except Exception as ex: - print(f"Error performing trade for {market}: {ex}") - traceback.print_exc() - - # Clean up memory and introduce a small delay - gc.collect() - await asyncio.sleep(2) \ No newline at end of file diff --git a/update_markets.py b/update_markets.py deleted file mode 100644 index d3a215f..0000000 --- a/update_markets.py +++ /dev/null @@ -1,133 +0,0 @@ -import time -import pandas as pd -from data_updater.trading_utils import get_clob_client -from data_updater.google_utils import get_spreadsheet -from data_updater.find_markets import get_sel_df, get_all_markets, get_all_results, get_markets, add_volatility_to_df -from gspread_dataframe import set_with_dataframe -import traceback - -# Initialize global variables -spreadsheet = get_spreadsheet() -client = get_clob_client() - -wk_all = spreadsheet.worksheet("All Markets") -wk_vol = spreadsheet.worksheet("Volatility Markets") - -sel_df = get_sel_df(spreadsheet, "Selected Markets") - -def update_sheet(data, worksheet): - all_values = worksheet.get_all_values() - existing_num_rows = len(all_values) - existing_num_cols = len(all_values[0]) if all_values else 0 - - num_rows, num_cols = data.shape - max_rows = max(num_rows, existing_num_rows) - max_cols = max(num_cols, existing_num_cols) - - # Create a DataFrame with the maximum size and fill it with empty strings - padded_data = pd.DataFrame('', index=range(max_rows), columns=range(max_cols)) - - # Update the padded DataFrame with the original data and its columns - padded_data.iloc[:num_rows, :num_cols] = data.values - padded_data.columns = list(data.columns) + [''] * (max_cols - num_cols) - - # Update the sheet with the padded DataFrame, including column headers - set_with_dataframe(worksheet, padded_data, include_index=False, include_column_header=True, resize=True) - -def sort_df(df): - # Calculate the mean and standard deviation for each column - mean_gm = df['gm_reward_per_100'].mean() - std_gm = df['gm_reward_per_100'].std() - - mean_volatility = df['volatility_sum'].mean() - std_volatility = df['volatility_sum'].std() - - # Standardize the columns - df['std_gm_reward_per_100'] = (df['gm_reward_per_100'] - mean_gm) / std_gm - df['std_volatility_sum'] = (df['volatility_sum'] - mean_volatility) / std_volatility - - # Define a custom scoring function for best_bid and best_ask - def proximity_score(value): - if 0.1 <= value <= 0.25: - return (0.25 - value) / 0.15 - elif 0.75 <= value <= 0.9: - return (value - 0.75) / 0.15 - else: - return 0 - - df['bid_score'] = df['best_bid'].apply(proximity_score) - df['ask_score'] = df['best_ask'].apply(proximity_score) - - # Create a composite score (higher is better for rewards, lower is better for volatility, with proximity scores) - df['composite_score'] = ( - df['std_gm_reward_per_100'] - - df['std_volatility_sum'] + - df['bid_score'] + - df['ask_score'] - ) - - # Sort by the composite score in descending order - sorted_df = df.sort_values(by='composite_score', ascending=False) - - # Drop the intermediate columns used for calculation - sorted_df = sorted_df.drop(columns=['std_gm_reward_per_100', 'std_volatility_sum', 'bid_score', 'ask_score', 'composite_score']) - - return sorted_df - -def fetch_and_process_data(): - global spreadsheet, client, wk_all, wk_vol, sel_df - - spreadsheet = get_spreadsheet() - client = get_clob_client() - - wk_all = spreadsheet.worksheet("All Markets") - wk_vol = spreadsheet.worksheet("Volatility Markets") - wk_full = spreadsheet.worksheet("Full Markets") - - sel_df = get_sel_df(spreadsheet, "Selected Markets") - - - all_df = get_all_markets(client) - print("Got all Markets") - all_results = get_all_results(all_df, client) - print("Got all Results") - m_data, all_markets = get_markets(all_results, sel_df, maker_reward=0.75) - print("Got all orderbook") - - print(f'{pd.to_datetime("now")}: Fetched all markets data of length {len(all_markets)}.') - new_df = add_volatility_to_df(all_markets) - new_df['volatility_sum'] = new_df['24_hour'] + new_df['7_day'] + new_df['14_day'] - - new_df = new_df.sort_values('volatility_sum', ascending=True) - new_df['volatilty/reward'] = ((new_df['gm_reward_per_100'] / new_df['volatility_sum']).round(2)).astype(str) - - new_df = new_df[['question', 'answer1', 'answer2', 'spread', 'rewards_daily_rate', 'gm_reward_per_100', 'sm_reward_per_100', 'bid_reward_per_100', 'ask_reward_per_100', 'volatility_sum', 'volatilty/reward', 'min_size', '1_hour', '3_hour', '6_hour', '12_hour', '24_hour', '7_day', '30_day', - 'best_bid', 'best_ask', 'volatility_price', 'max_spread', 'tick_size', - 'neg_risk', 'market_slug', 'token1', 'token2', 'condition_id']] - - - volatility_df = new_df.copy() - volatility_df = volatility_df[new_df['volatility_sum'] < 20] - # volatility_df = sort_df(volatility_df) - volatility_df = volatility_df.sort_values('gm_reward_per_100', ascending=False) - - new_df = new_df.sort_values('gm_reward_per_100', ascending=False) - - - print(f'{pd.to_datetime("now")}: Fetched select market of length {len(new_df)}.') - - if len(new_df) > 50: - update_sheet(new_df, wk_all) - update_sheet(volatility_df, wk_vol) - update_sheet(m_data, wk_full) - else: - print(f'{pd.to_datetime("now")}: Not updating sheet because of length {len(new_df)}.') - -if __name__ == "__main__": - while True: - try: - fetch_and_process_data() - time.sleep(60 * 60) # Sleep for an hour - except Exception as e: - traceback.print_exc() - print(str(e)) diff --git a/update_stats.py b/update_stats.py deleted file mode 100644 index 92c8a05..0000000 --- a/update_stats.py +++ /dev/null @@ -1,18 +0,0 @@ -from poly_data.polymarket_client import PolymarketClient -from poly_stats.account_stats import update_stats_once - -import pandas as pd -import time -import traceback - -client = PolymarketClient() - -if __name__ == '__main__': - while True: - try: - update_stats_once(client) - except Exception as e: - traceback.print_exc() - - print("Now sleeping\n") - time.sleep(60 * 60 * 3) #3 hours \ No newline at end of file diff --git a/uv.lock b/uv.lock index b470869..8b3e707 100644 --- a/uv.lock +++ b/uv.lock @@ -1,157 +1,118 @@ version = 1 revision = 3 -requires-python = ">=3.9.10" +requires-python = ">=3.12" resolution-markers = [ - "python_full_version >= '3.12'", - "python_full_version == '3.11.*'", - "python_full_version == '3.10.*'", - "python_full_version < '3.10'", + "python_full_version >= '3.15'", + "python_full_version < '3.15'", ] [[package]] name = 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