Update README.md

README.md

@@ -1,6 +1,6 @@
 # 🌤 Weather Trading Bot — Polymarket
 
-Automated weather market trading bot for Polymarket. Finds mispriced temperature outcomes using real station data from NWS and Visual Crossing.
+Automated weather market trading bot for Polymarket. Finds mispriced temperature outcomes using real station data from NWS.
 
 No SDK. No black box. Pure Python.
 
@@ -8,13 +8,13 @@ No SDK. No black box. Pure Python.
 
 ## Versions
 
-### `bot_v1.py` — Base Bot
+### `bot_v1.py` — Base Bot (current)
 
-The foundation. Scans 6 US cities, fetches forecasts from NWS, finds matching temperature buckets on Polymarket, and enters trades when the market price is below the entry threshold.
+The foundation. Scans 6 US cities, fetches forecasts from NWS using airport station coordinates, finds matching temperature buckets on Polymarket, and enters trades when the market price is below the entry threshold.
 
 No math, no complexity. Just the core logic — good for understanding how the system works.
 
-### `bot_v2.py` — Kelly + EV Edition
+### `bot_v2.py` — Kelly + EV Edition (coming soon)
 
 Everything in v1, plus:
 
@@ -23,20 +23,6 @@ Everything in v1, plus:
 - **Auto-exit** — closes positions when price hits the exit threshold
 - **Live dashboard** — updates `simulation.json` so the dashboard stays current
 
-~400 lines of pure Python.
-
-### `bot_v3.py` — Auto-Cycle + Forecast Monitoring (current)
-
-Everything in v2, plus:
-
-- **Auto-cycle** — scans every hour, synchronized to the clock (:00, :01, :02...)
-- **Forecast monitor** — checks every 60 seconds, closes positions if forecast changes or EV goes negative
-- **Real station data** — NWS hourly observations + Visual Crossing for today's actual readings
-- **Correct airport coordinates** — each city mapped to the exact station Polymarket resolves on
-- **Liquidity-aware sizing** — reduces position size for low-volume markets, hard cap at $20 for markets under $1k volume
-- **Slippage simulation** — entry price reflects real market impact
-- **16 cities** — 6 US cities via NWS, 10 international via Open-Meteo
-
 ---
 
 ## How It Works
@@ -45,13 +31,11 @@ Polymarket runs markets like "Will the highest temperature in Chicago be between
 
 The bot:
 
-1. Fetches forecasts from NWS (US cities) and Open-Meteo (international) using airport coordinates
+1. Fetches forecasts from NWS using airport coordinates
 2. Combines real station observations with hourly forecast to get the true daily maximum
 3. Finds the matching temperature bucket on Polymarket
-4. Calculates Expected Value — skips the trade if EV is below threshold
+4. Enters the trade if market price is below the entry threshold
-5. Calculates Kelly Criterion — sizes position based on edge strength
+5. Runs a full $1,000 simulation against real market prices before you risk anything
-6. Adjusts position size for market liquidity and simulates slippage
-7. Monitors all open positions every 60 seconds — closes if forecast shifts
 
 ---
 
@@ -72,42 +56,23 @@ Every Polymarket weather market resolves on a specific airport station. NYC reso
 
 ---
 
-## Kelly + EV Logic
-
-**Expected Value** — is this trade mathematically profitable?
-
-```
-EV = (our_probability × net_payout) − (1 − our_probability)
-```
-
-**Kelly Criterion** — how much of the balance to bet?
-
-```
-Kelly % = (p × b − q) / b
-```
-
-We use fractional Kelly (25%) and cap each position at 5% of balance.
-
----
-
 ## Installation
 
 ```bash
 git clone https://github.com/alteregoeth-ai/weatherbot
 cd weatherbot
-pip install requests pytz
+pip install requests
 ```
 
-Add your settings to `config.json`:
+Create `config.json` in the project folder:
 
 ```json
 {
   "entry_threshold": 0.15,
   "exit_threshold": 0.45,
-  "max_position_pct": 0.05,
-  "locations": "nyc,chicago,miami,dallas,seattle,atlanta",
   "max_trades_per_run": 5,
-  "min_hours_to_resolution": 2
+  "min_hours_to_resolution": 2,
+  "locations": "nyc,chicago,miami,dallas,seattle,atlanta"
 }
 ```
 
@@ -115,39 +80,13 @@ Add your settings to `config.json`:
 
 ## Usage
 
-### bot_v1.py
-
 ```bash
 python bot_v1.py          # paper mode — shows signals, no trades
 python bot_v1.py --live   # simulates trades with $1,000 balance
 python bot_v1.py --reset  # reset balance back to $1,000
+python bot_v1.py --positions  # show open positions and PnL
 ```
 
-### bot_v3.py
-
-```bash
-python bot_v3.py --live       # run bot (entry scanner + forecast monitor)
-python bot_v3.py --positions  # show open positions and PnL
-python bot_v3.py --reset      # reset simulation back to $1,000
-```
-
----
-
-## Dashboard
-
-Run a local server in the bot folder:
-
-```bash
-python -m http.server 8000
-```
-
-Then open `http://localhost:8000/sim_dashboard_repost.html` in your browser.
-
-- Balance chart with history
-- Open positions with Kelly %, EV, and current PnL
-- Full trade history with ENTRY/SELL labels
-- Refreshes automatically every 10 seconds
-
 ---
 
 ## Configuration
@@ -156,10 +95,9 @@ Then open `http://localhost:8000/sim_dashboard_repost.html` in your browser.
 |-----------|---------|-------------|
 | `entry_threshold` | `0.15` | Buy below this price |
 | `exit_threshold` | `0.45` | Sell above this price |
-| `max_position_pct` | `0.05` | Max position size as % of balance |
-| `locations` | `nyc,...` | Cities to scan (comma separated) |
 | `max_trades_per_run` | `5` | Max new trades per scan |
 | `min_hours_to_resolution` | `2` | Skip if resolves too soon |
+| `locations` | `nyc,...` | Cities to scan (comma separated) |
 
 ---
 
@@ -168,8 +106,6 @@ Then open `http://localhost:8000/sim_dashboard_repost.html` in your browser.
 | API | Auth | Purpose |
 |-----|------|---------|
 | NWS (api.weather.gov) | None | US city forecasts + station observations |
-| Open-Meteo | None | International city forecasts |
-| Visual Crossing | Free key | Today's actual hourly readings by station |
 | Polymarket Gamma | None | Market data |
 | Polymarket CLOB | Wallet key | Live trading (optional) |
 
@@ -183,7 +119,7 @@ The bot runs in simulation mode by default. To execute real trades, add Polymark
 pip install py-clob-client
 ```
 
-Then replace the paper mode block in `bot_v3.py` with your CLOB buy function. Full guide in the article linked below.
+Then replace the paper mode block in `bot_v1.py` with your CLOB buy function. Full guide in the article linked below.
 
 ---