PredictMax
PredictMax: AI Prediction Market Analyst PredictMax democratizes prediction markets by leveraging Claude Sonnet to transform raw market data into actionable insights.
Core trick
Normalizes Kalshi and Polymarket prices into one schema and flags cross-platform arbitrage for the model to explain.
Description
PredictMax: AI Prediction Market Analyst
PredictMax democratizes prediction markets by leveraging Claude Sonnet to transform raw market data into actionable insights. Built with OpenClaw, it integrates into Claude-powered agents and deploys on Moltbook.
Get Started: Run npx skills add notanaveragelifter/predictmax for instant Polymarket and Kalshi access.
Key Features:
- Real-time pricing and order book analysis
- AI trade recommendations with confidence levels
- Arbitrage detection between platforms
- Natural language interface - just ask questions
- Cross-platform data normalization
- Risk assessment for liquidity and time horizons
Why Claude Sonnet: Proven excellence in financial reasoning, probabilistic analysis, and synthesizing complex market data into clear recommendations.
Impact: No experience needed - just add the skill and let Claude Sonnet handle the analysis.
README excerpt
# PredictMax PredictMax is an AI-powered prediction market analysis platform. It aggregates data from Kalshi and Polymarket, provides cross-platform market intelligence, and delivers institutional-grade trading analysis through both REST and WebSocket interfaces. --- ## Architecture Built on NestJS with a modular service architecture. ``` src/ ├── ai/ Claude AI service, WebSocket chat, tool definitions ├── integrations/ Kalshi V2, Polymarket Gamma/CLOB, Helius Solana RPC ├── intelligence/ Probability engine, risk assessment, recommendations ├── market/ REST controller, cross-platform aggregation ├── database/ Supabase client, conversation persistence ├── config/ Environment variable management └── common/ In-memory cache with TTL ``` **Data flow:** 1. Client connects via REST (`/api/*`) or WebSocket (`/chat`). 2. Market data is fetched from Kalshi and Polymarket APIs in parallel. 3. The intelligence layer calculates fair value, assesses risk, and generates recommendations. 4. Claude processes raw data through domain-specific prompts and returns structured analysis. --- ## Core Capabilities - **Cross-platform market discovery** across Kalshi and Polymarket with unified normalization. - **Deep market analysis** with fair value calculation, edge detection, and opportunity scoring. - **Risk assessment** covering liquidity, settlement, volatility, concentration, and time risk. - **Position s