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Polymarket Trading Bot V2

Polymarket Trading Bot v2

hanguang2540 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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skillhub install hanguang254/polymarket-trading-bot-v2

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Skill instructions

Polymarket Trading Bot v2

AI-driven directional prediction trading system for Polymarket 5-minute BTC/ETH markets.

Features

  • Market Monitoring: Auto-scan BTC/ETH 5min markets every 2s
  • PTB Extraction: Playwright-based with 4-layer fallback
  • Technical Indicators: EMA, RSI, MACD, Bollinger Bands, ATR, Volume
  • AI Scoring Model: Position(50%) + Momentum(30%) + RSI(10%) + Volume(10%)
  • Decision Engine: EV-based smart betting
  • Backtest Validation: Auto-verify historical accuracy

Verified Performance

Dataset: 2026-03-06, 143 decisions

  • Overall Accuracy: 84.6% (121/143)
  • 100% Confidence: 100% (13/13)
  • 90%+ Confidence: 100% (14/14)
  • High-Quality Signals (conf≥80% & EV>0.5): 97.1% (33/34)

Installation

pip install requests playwright
playwright install chromium

Usage

Start Monitoring
python3 auto_bot_v2.py
Backtest
python3 backtest_accuracy.py

Configuration

Edit ai_analyze_v2.py:

ENABLE_TRADING = False      # Enable real trading
CONFIDENCE_THRESHOLD = 0.55 # Min confidence
ODDS_THRESHOLD = 0.90       # Max odds
BET_AMOUNT = 10             # Bet size (USD)

Recommended Strategy

  • Confidence threshold: ≥85%
  • EV threshold: >0.5
  • Expected accuracy: ~97%
  • Prefer ETH signals

Risk Control

  • Single bet: 10-50 USD
  • Daily max loss: 100 USD
  • Stop after 3 consecutive losses

Files

  • auto_bot_v2.py: Main monitoring script
  • ai_analyze_v2.py: Decision engine
  • ai_trader/ai_model_v2.py: AI scoring model
  • ai_trader/playwright_ptb.py: PTB extraction
  • ai_trader/indicators.py: Technical indicators
  • backtest_accuracy.py: Backtest validation

Wallet

  • Main: 0xb37c4cC2Be6bFb77a48d5C661D9c956A199A52A2
  • Proxy: 0x9130519D591a64E522C10c0f91642f21F35e20fc

Status

✅ Verified, production-ready

Source information

Source
github
Repository
openclaw/skills
Path
skills/hanguang254/polymarket-trading-bot-v2
Version
—
Commit
c5f4bdc9c272e179ea9cff07f2f1344a488894d5
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Polymarket Trading Bot v2

AI-driven directional prediction trading system for Polymarket 5-minute BTC/ETH markets.

## Features

- **Market Monitoring**: Auto-scan BTC/ETH 5min markets every 2s
- **PTB Extraction**: Playwright-based with 4-layer fallback
- **Technical Indicators**: EMA, RSI, MACD, Bollinger Bands, ATR, Volume
- **AI Scoring Model**: Position(50%) + Momentum(30%) + RSI(10%) + Volume(10%)
- **Decision Engine**: EV-based smart betting
- **Backtest Validation**: Auto-verify historical accuracy

## Verified Performance

**Dataset**: 2026-03-06, 143 decisions

- **Overall Accuracy**: 84.6% (121/143)
- **100% Confidence**: 100% (13/13)
- **90%+ Confidence**: 100% (14/14)
- **High-Quality Signals** (conf≥80% & EV>0.5): 97.1% (33/34)

## Installation

```bash
pip install requests playwright
playwright install chromium
```

## Usage

### Start Monitoring
```bash
python3 auto_bot_v2.py
```

### Backtest
```bash
python3 backtest_accuracy.py
```

## Configuration

Edit `ai_analyze_v2.py`:
```python
ENABLE_TRADING = False      # Enable real trading
CONFIDENCE_THRESHOLD = 0.55 # Min confidence
ODDS_THRESHOLD = 0.90       # Max odds
BET_AMOUNT = 10             # Bet size (USD)
```

## Recommended Strategy

- Confidence threshold: ≥85%
- EV threshold: >0.5
- Expected accuracy: ~97%
- Prefer ETH signals

## Risk Control

- Single bet: 10-50 USD
- Daily max loss: 100 USD
- Stop after 3 consecutive losses

## Files

- `auto_bot_v2.py`: Main monitoring script
- `ai_analyze_v2.py`: Decision engine
- `ai_trader/ai_model_v2.py`: AI scoring model
- `ai_trader/playwright_ptb.py`: PTB extraction
- `ai_trader/indicators.py`: Technical indicators
- `backtest_accuracy.py`: Backtest validation

## Wallet

- Main: 0xb37c4cC2Be6bFb77a48d5C661D9c956A199A52A2
- Proxy: 0x9130519D591a64E522C10c0f91642f21F35e20fc

## Status

✅ Verified, production-ready

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