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A Solana trading bot for pump.fun and letsbonk.fun. Its core feature is sniping new tokens: it watches for token creation, buys, and exits on a strategy you configure. learning-examples/ contains standalone scripts covering every piece of the flow — listeners, price math, manual buys and sells — useful on their own even if you never run the bot.

For the full walkthrough, see Solana: Creating a trading and sniping pump.fun bot. It explains the concepts well but lags behind the code, so treat this README as the source of truth for setup and configuration.

Also by Chainstack — if you prefer a terminal interface or want to give an AI agent trading capabilities:

• pumpfun-cli — CLI for trading, launching, and managing tokens on pump.fun; buy, sell, wallet management, and smart routing between the bonding curve and PumpSwap AMM.
• pumpclaw — agent skill that equips AI assistants (OpenClaw, Claude Code, Cursor, Codex) with the ability to operate pumpfun-cli.

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🚨 SCAM ALERT: The Issues section is regularly targeted by scam bots that try to redirect you to an external site and drain your funds. A GitHub Action tags the common patterns, which is not 100% accurate. Deleted comments in issues are scam bots after your private keys — genuine outside devs are welcome and appreciated.

⚠️ NOT FOR PRODUCTION: This code is for learning purposes only. We assume no responsibility for the code or its usage. Modify it for your needs and learn from it — the examples, issues, and PRs contain valuable insights.

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Getting started

1. Prerequisites

Install uv, a fast Python package manager. The project needs Python 3.11+; uv uses an existing install if it's new enough, otherwise it fetches one for you.

2. Clone and install

git clone https://github.com/chainstacklabs/pumpfun-bonkfun-bot.git
cd pumpfun-bonkfun-bot

uv sync                        # create .venv and install dependencies
source .venv/bin/activate      # Unix/macOS — Windows: .venv\Scripts\activate
uv pip install -e .            # install the bot as an editable package

3. Set your credentials

cp .env.example .env

Fill in .env:

Variable	Purpose
SOLANA_NODE_RPC_ENDPOINT	HTTPS RPC endpoint
SOLANA_NODE_WSS_ENDPOINT	WebSocket endpoint (for logs / blocks listeners)
SOLANA_PRIVATE_KEY	Base58 private key of the trading wallet
GEYSER_ENDPOINT, GEYSER_API_TOKEN, GEYSER_AUTH_TYPE	Only for the geyser listener

Public RPC nodes will not work for this workload — see throughput below.

4. Configure a bot

Each YAML file in bots/ is one bot instance. They ship with commented defaults; start from the one matching the listener you want:

File	Listener	Ships with
bot-sniper-1-geyser.yaml	geyser — fastest, needs a Geyser endpoint	pump_fun
bot-sniper-2-logs.yaml	logs — logsSubscribe, supported everywhere	pump_fun
bot-sniper-3-blocks.yaml	blocks — blockSubscribe, not supported by every provider	pump_fun
bot-sniper-4-pp.yaml	pumpportal — third-party aggregator	lets_bonk

Set platform: "pump_fun" or platform: "lets_bonk". pump.fun supports all four listeners; letsbonk.fun supports blocks, geyser, and pumpportal but not logs. The bot validates the pairing at startup and refuses to run an invalid one.

Set enabled: false to keep a config around without running it. Every bot with enabled: true starts when you run the bot.

5. Run

pump_bot                   # as an installed package
uv run src/bot_runner.py   # or directly

Logs land in logs/{bot_name}_{timestamp}.log.

Configuration reference

The YAML files are commented inline. The sections that matter most:

• trade — buy_amount (in SOL), slippage, exit_strategy (time_based, tp_sl, manual), and extreme_fast_mode, which skips the bonding-curve price check and buys a fixed token amount instead. Faster, less precise.
• priority_fees — fixed or dynamic. Dynamic costs an extra RPC call, which slows the buy.
• filters — listener_type, max_token_age, name/creator matching, marry_mode (buy only, never sell), yolo_mode (trade continuously).
• retries — attempts and the wait windows around creation, buy, and the next token.
• cleanup — when to close leftover token accounts: disabled, on_fail, after_sell, post_session.
• node.max_rps — cap requests per second to match your provider's plan.

Non-SOL quote assets

pump.fun supports quote assets other than SOL, USDC first. Amounts are in that mint's own whole units, so usdc: 1.0 is one USDC and is not comparable to buy_amount:

trade:
  buy_amount: 0.0001    # SOL-paired coins
  quote_amounts:
    usdc: 1.0           # USDC-paired coins

filters:
  allowed_quote_mints: ["sol", "usdc"]   # omit to allow any configured quote

Keys accept the aliases sol / wsol / usdc or a raw base58 mint. A coin whose quote mint has no configured amount is skipped with a log line rather than bought with a wrongly-scaled amount. SOL always falls back to buy_amount, so existing configs keep working untouched. Buying a USDC-paired coin needs USDC in the wallet plus a little SOL for fees and ATA rent.

Learning examples

Standalone scripts, runnable with uv run <path>. No bot config needed — they read .env directly.

Path	What it covers
listen-new-tokens/	One listener per method (logs, blocks, geyser, pumpportal) plus compare_listeners.py to race them
listen-migrations/	Detect a token graduating from the bonding curve to PumpSwap
bonding-curve-progress/	Curve state, progress polling, and tokens close to graduating
pumpswap/	Manual buy/sell against the PumpSwap AMM, and pool discovery
letsbonk-buy-sell/	Manual exact-in / exact-out buys and sells on letsbonk.fun
copytrading/	Watch another wallet's transactions
manual_buy.py, manual_sell.py, fetch_price.py	The minimal pump.fun trade and price path
mint_and_buy_v2.py	Create a coin and buy it in one go
decode_from_*.py, calculate_discriminator.py	Decoding account data, transactions, and Anchor discriminators
cleanup_accounts.py	Close leftover empty token accounts

Two examples double as verification scripts to run after any pump.fun program upgrade:

uv run learning-examples/verify_v2_account_layout.py    # offline: account layouts, PDAs, encoding
uv run learning-examples/simulate_v2_trades.py <MINT>   # mainnet simulation, no funds moved
uv run learning-examples/verify_tx_status_checks.py     # offline: every example checks meta.err

Related docs: Listening to pump.fun migrations · Sniping with only logsSubscribe

Throughput and rate limits

Every node provider has its own limits — method availability, requests per second, plan-specific caps. Consult your provider's docs before running the bot, and don't expect public RPC nodes to hold up.

For Chainstack, the numbers you need are in the throughput guidelines, kept up to date.

The bot rate-limits itself with a token bucket: node.max_rps in the YAML (25 by default) smooths the request rate while allowing short bursts, and 429s are retried with exponential backoff.

For faster execution, Chainstack offers Solana Trader nodes for transaction propagation and the Yellowstone gRPC Geyser plugin for streaming updates.

IDLs

The IDLs under idl/ are vendored from pump-fun/pump-public-docs — currently upstream commit 9c82f61. To refresh, copy pump.json, pump_amm.json, and pump_fees.json into pump_fun_idl.json, pump_swap_idl.json, and pump_fees.json, and note the upstream commit in your commit message. Don't hand-edit them.

The buy_v2 / sell_v2 account lists are complete in the IDL — that's the point of the v2 interface. The legacy buy / sell lists are not: the IDL omits PDAs the on-chain program requires. For anything outside v2, cross-check against a recent successful on-chain transaction before trusting the IDL.

CLAUDE.md documents the protocol gotchas in detail — account layouts, quote-mint handling, fee recipients, and what the IDL gets wrong.

Contributing

Maintainers are listed in MAINTAINERS.md. Open an Issue for feedback or bugs.

Lint and format the files you changed (uv sync installs ruff for you):

uv run ruff check --fix path/to/changed.py
uv run ruff format path/to/changed.py

Running ruff check over the whole repo reports a large backlog of pre-existing errors — that's a known baseline, so scope it to your own files.

Then test your change with a learning example rather than by running a bot with real funds.