Back to Skill Marketplace

Trading Automation

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

Built to improve with use.

Feedback will appear here as this skill is used and reviewed.

Leave feedback

Discover more

Related skills

View all
Trading Automation

quant-analysis

Quantitative Analysis Skill provides an end-to-end toolkit for quantitative finance research and production analysis. It automates data ingestion, interactive analysis in Jupyter (jupyter_execute,…

Trading AutomationExplore
Trading Automation

bankr

Bankr enables executing crypto trading and DeFi operations via natural-language commands. It offers two integration options: a batteries-included Bankr CLI and a REST API at https://api.bankr.bot,…

Trading AutomationExplore
Trading Automation

pine-backtester

pine-backtester provides comprehensive backtesting for Pine Script indicators and strategies. Use it to append performance metrics, analyze trades, generate equity curves, compute win rates, track…

Trading AutomationExplore
Get Started