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Quant tools for pricing, sizing, and arbitrage analysis in prediction markets.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PredictionMarketsPicks Quant" yet — see the docs or source repo.
Using a Kalshi or Polymarket contract’s current price, my subjective probability estimate, and fees, calculate expected value, the implied probability gap, and whether a positive-EV opportunity exists.
Returns expected value, the gap between market-implied and subjective probability, and a judgment on whether the bet is attractive.
I have a $5,000 bankroll and want to trade a prediction market contract. Based on the contract odds and my estimated win probability, calculate the Kelly fraction and recommended position size.
Provides the Kelly fraction, corresponding dollar size, and a position-sizing recommendation for risk control.
Compare prices for the same event on Kalshi and Polymarket, check for cross-platform arbitrage or obvious mispricing, and explain the potential profit opportunity.
Outputs the price difference across platforms, the possible arbitrage structure, and whether an actionable mispricing exists.
Data analysts or researchers can use it before placing trades to evaluate expected value, odds implications, and base-rate gaps in prediction market contracts.
Once a user has formed a probability view, it can calculate more disciplined bet sizes with Kelly sizing instead of relying on intuition.
Users tracking Kalshi and Polymarket can compare prices for the same event to identify cross-platform arbitrage or possible mispricing.
It is a set of quantitative analysis tools for prediction markets, covering expected value, Kelly sizing, Bayesian updating, odds conversion, base-rate gaps, cross-platform arbitrage, and mispricing edge for Kalshi and Polymarket contracts.
The provided information explicitly says it is built for Kalshi and Polymarket contracts in prediction market analysis.
The available material only says it is exposed as a remote MCP server and does not provide installation steps, API key requirements, or runtime details; see the source repository for more.
Access live prediction market prices, odds, and order books from AI agents.
Help AI agents discover, evaluate, and spot mispricing in prediction markets.
Access live prediction-market data and cross-venue arbitrage spreads in one schema.
Analyze sports betting value, backtests, simulations, and portfolio risk.
Run sports betting EV analysis, simulations, backtests, and risk management.
Analyze Polymarket markets with natural language for sentiment, smart money, and arbitrage.