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Polymarket Trading Bot v2

Polymarket Trading Bot v2 is an AI-driven trading system designed for Polymarket 5-minute BTC/ETH markets. It auto-scans markets every 2 seconds, extracts price/timebook (PTB) data via a Playwright-based 4-layer fallback, computes EMA, RSI, MACD, Bollinger Bands, ATR and volume, and feeds signals to

Updated today<1 min setup

Overview

Polymarket Trading Bot v2 is an AI-driven trading system designed for Polymarket 5-minute BTC/ETH markets.

Polymarket Trading Bot v2 is an AI-driven trading system designed for Polymarket 5-minute BTC/ETH markets. It auto-scans markets every 2 seconds, extracts price/timebook (PTB) data via a Playwright-based 4-layer fallback, computes EMA, RSI, MACD, Bollinger Bands, ATR and volume, and feeds signals to an AI scoring model (Position 50%, Momentum 30%, RSI 10%, Volume 10%). A decision engine uses expected-value (EV) based smart betting and supports live or simulated trading with configurable confidence, odds and bet-size thresholds. Built-in backtest validation has demonstrated strong performance (overall accuracy 84.6%, high-quality signals ≈97%). Typical use cases include continuous market monitoring, signal generation, automated betting, and strategy backtesting. Core advantages are high-frequency detection, multi-layer data resilience, configurable risk controls, and clear recommended parameters for production deployment.

Skill.md

How this skill works

Polymarket Trading Bot v2 is an AI-driven trading system designed for Polymarket 5-minute BTC/ETH markets. It auto-scans markets every 2 seconds, extracts price/timebook (PTB) data via a Playwright-based 4-layer fallback, computes EMA, RSI, MACD, Bollinger Bands, ATR and volume, and feeds signals to

SKILL.mdALPHIO / VERIFIED

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

Best used for

When to use it

Polymarket Trading Bot v2 is an AI-driven trading system designed for Polymarket 5-minute BTC/ETH markets. It auto-scans markets every 2 seconds, extracts price/timebook (PTB) data via a Playwright-based 4-layer fallback, computes EMA, RSI, MACD, Bollinger Bands, ATR and volume, and feeds signals to

01 · PRE-MEETING

Prepare a decision brief

Turn scattered evidence into a structured case before an investment committee meeting.

02 · TEAM WORKFLOW

Standardize handoffs

Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE

Refresh the thesis

Update scenarios after a new catalyst, KPI release, or earnings result.

Community notes

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