3 Underrated GitHub Repos for Polymarket Traders: Alphapoly, PolyWeather, and Paper Trader

Three open-source GitHub tools for Polymarket traders: Alphapoly for LLM correlation, PolyWeather for weather mispricing, and polymarket-paper-trader for agent

tau · September 11, 2026

#Polymarket #OpenSource #TradingBots #AIAgents #Backtesting #PredictionMarkets

3 Underrated GitHub Repos for Polymarket Traders: Alphapoly, PolyWeather, and Paper Trader

On September 11, 2026, prediction market analyst and Web3 creator Parker (@parkerisch) shared a curated breakdown of three underrated open-source GitHub repositories built specifically to help Polymarket traders analyze market relationships, exploit data discrepancies, and test algorithmic strategies without risking capital.

Chainstack Labs Alphapoly terminal dashboard displaying Polymarket prediction market correlation analysis and hedging strategies

Image source: chainstacklabs/polymarket-alpha-bot / GitHub

As Polymarket expands into diverse categories ranging from macroeconomic events and elections to temperature and geopolitical outcomes, the need for quantitative workflows and automated tools has grown rapidly. Relying solely on manual inspection is increasingly inefficient. The three repositories highlighted by Parker provide practical tooling across three distinct trading challenges: natural language reasoning across related markets, weather data modeling, and realistic order-book simulation for human traders and autonomous AI agents.

1. Alphapoly: LLM-Driven Cross-Market Relationship Analysis and Hedging

The first repository highlighted is Alphapoly (polymarket-alpha-bot), developed by Chainstack Labs and sitting at 177 GitHub stars. Alphapoly leverages Large Language Models (LLMs) to automatically detect hidden logical relationships and conditional dependencies across separate Polymarket contracts that may appear unrelated on the surface.

  • Logical Connection Discovery: The engine uses LLMs to evaluate market descriptions and settlement conditions, identifying which external event outcomes directly or indirectly influence other markets.
  • Automated Covered and Hedged Pair Construction: Once connected outcomes are mapped, the tool designs complementary position pairs to offset downside risk or capture delta-neutral spreads.
  • Live Price Monitoring and Edge Calculation: It monitors real-time order books across paired contracts and continuously computes when a combined position becomes mathematically profitable.
  • Polymarket V2 and pUSD Stack Support: Built to align with Polymarket's current protocol infrastructure, fully supporting V2 market mechanics and pUSD collateral workflows.

For traders managing multiple positions across complex geopolitical or economic events, Alphapoly offers a systematic way to apply LLM reasoning to combinatorial spread trading.

2. PolyWeather: Multi-Source Meteorological Blending for Mispricing Detection

The second tool, PolyWeather (295 stars), is engineered specifically for Polymarket's temperature and weather-related contracts. Weather markets settle on definitive physical measurements, making them particularly receptive to quantitative modeling and statistical forecasting edges.

  • Tracking Across 51 Target Cities: The tool actively monitors meteorological stations across 51 major global metropolitan areas featured in Polymarket contracts.
  • Multi-Source Observation Ingestion: PolyWeather aggregates live observational data and specialized aviation reports, combining METAR, TAF, Open-Meteo feeds, and official governmental weather services into a unified pipeline.
  • Proprietary Probability Blending: Rather than relying on a single forecast outlet, the system blends multiple predictive sources into an independent probability distribution curve.
  • Real-Time Mispricing Detection: By benchmarking its blended probability estimates directly against active Polymarket contract prices, PolyWeather helps traders quickly identify underpriced or overpriced temperature outcomes.

This architecture enables traders to systematically exploit temporary pricing inefficiencies caused by market participant biases before official station reports finalize.

3. polymarket-paper-trader: Real Order-Book Simulator and Autonomous Agent Sandbox

The third open-source project is polymarket-paper-trader (389 stars), a local simulation environment designed for testing manual strategies and autonomous AI trading agents against real-world liquidity conditions without financial risk.

  • $10,000 Virtual Capital Allocation: Each paper trading session provides a $10K virtual bankroll, allowing extensive experimentation across diverse market conditions.
  • Live Polymarket Order-Book Ingestion: Instead of synthetic or delayed pricing, the sandbox streams live order books directly from Polymarket's production API.
  • Realistic Execution with Fees and Slippage: The engine models true limit and market order execution, incorporating bid-ask spreads, shallow liquidity constraints, taker fees, and market slippage.
  • Automated Performance Tracking: Key quantitative metrics are recorded automatically, including cumulative profit and loss (PnL), return on investment (ROI), and maximum portfolio drawdown.
  • Safe Backtesting for AI Agents: Developers can wire autonomous LLM or quantitative agents into the environment to observe decision quality and risk parameters before deploying real funds.

Parker emphasized that all three projects save traders considerable development and research time, recommending paper trading and simulated execution before deploying capital in live prediction markets.

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