--- url: "https://predictiontoolkit.com/tools/polymm/" publisher: "PredictionToolkit" dateModified: "2026-11-02" --- [← Starter projects & resources]() Learning & media # polymm polymm is the publicly released Python version of kachence’s sports market-making project. It combines bookmaker-odds processing, event matching, limit-order quoting, hedge handling and public-wallet analytics, with an explicit retirement notice and failure analysis. [**3.5**/ 5Editorial rating]() [Editorial assessment]() [Read polymm source and README]() github.com **Available on:** Python · Source code **Pricing:** [See plans and costs ↓]() [Screenshots]() [Explore alternatives]() **Availability: public** [Starter projects & resources]() [Liquidity & market making]() +1 more [Learning]() ## Screenshots and interface Product preview1 / 1 Repository documentation, not a live trading result. ## What is polymm? Trace odds de-vigging, event matching and quote logic, then inspect the paths for partial fills, lost edge and residual exposure. The author explains damage from stale odds and adverse selection: an apparently hedged trade can retain directional risk when a leg fails. This makes the repository most useful as engineering study material. The MIT release includes wallet-analysis scripts but omits private scrapers and the private odds pipeline. The author’s newer Rust implementation is also outside the release. A research adaptation needs its own infrastructure, database schema and odds-data source; the included public API route may incur data costs. ### Who it is for - For developers studying sports market-making architecture and researchers learning from documented execution failures. ## Features and coverage - **Odds and quoting pipeline** Study bookmaker-margin removal, event matching and limit-order logic in the published Python code. - **Hedge failure paths** Inspect partial-fill, edge-loss and residual-exposure paths alongside the author’s account of stale odds and adverse selection. - **Public-wallet analysis scripts** Use the documented wallet scripts as a research reference rather than a validated portfolio-accounting service. ## Workflows with polymm ### Trace a documented failure Read the retrospective and retirement notes, then follow the relevant matching or hedge path in the repository. ### Assess an adaptation’s dependencies Identify odds provider, database schema and infrastructure requirements and test assumptions before adapting code for local research. ## Pricing and total cost The source is MIT-licensed, with infrastructure and an odds-data source supplied by the user. The included public API path can incur data fees; this is developer source code rather than a hosted service. ## Getting started **Before you start:** Private scrapers and the Rust successor are omitted. Historical profit claims are the author’s account, not independently verified results or evidence for unattended live suitability. 1. Read retirement and failure-analysis notes before inspecting data, matching and hedge code. 2. Identify missing private components and review dependencies and assumptions before a local research adaptation. The Python version is retired and is developer source, not a hosted trading service. [Read the author’s retrospective]() ## Useful links ### What to check - Private scrapers and the Rust successor are omitted. Historical profit claims are the author’s account, not independently verified results or evidence for unattended live suitability. A closer look ## Ratings & reviews Editorial rating **3.5**/ 5 0 user reviews PredictionToolkit editorial ### Our take on polymm Useful engineering and failure-analysis material with explicit omissions. The assessment concerns learning value, not readiness for unattended live trading. Based on documented features, setup and access terms. 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No. This release is the retired Python version, and the private odds pipeline is not included either. In this profile