leonyx007

leonyx007 / Polymarket-Sports-Arbitrage-Bot

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99
0
69% credibility
Found Mar 08, 2026 at 99 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This tool fetches sports betting markets from Polymarket, compares them to sportsbook odds, identifies potential directional arbitrage opportunities, and simulates automated trading in paper mode.

How It Works

1
🔍 Discover the Bot

You find this clever tool online that spots potential money-making differences between Polymarket sports bets and other betting sites.

2
💻 Get It Ready

You download and set up the bot on your computer so it's all prepared to start working.

3
🔗 Connect Odds Info

You link a service that shares current odds from sportsbooks, letting the bot compare them easily.

4
📈 Gather Sports Bets

The bot pulls in the latest sports events and betting options from Polymarket to analyze.

5
⚡ Spot Opportunities

Watch as the bot matches events, crunches numbers, and flags exciting chances to buy low on Polymarket where other odds suggest higher value.

6
🤖 Simulate Trades

Run the bot in practice mode to pretend-trade those opportunities safely and see how it handles buys and sells.

📊 See Your Gains

Review the detailed logs and summaries showing simulated profits, risks avoided, and lessons from the session.

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Star Growth

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AI-Generated Review

What is Polymarket-Sports-Arbitrage-Bot?

This TypeScript/Node.js bot automates a pipeline for the Polymarket arbitrage sports betting bot workflow: it pulls sports markets from Polymarket's Gamma API, matches events to sportsbook odds via the Odds API, and detects directional value bets where Polymarket underprices outcomes compared to books like those in US regions. Developers get CLI commands to fetch markets, compare odds, flag opportunities with profit margins and sell points, then run paper-mode auto-trading cycles with risk gates like liquidity floors and position caps—all outputting JSON, CSV, and journal files for review. It solves the manual grind of scanning Polymarket sports API data for edges in NBA, NFL, and similar markets.

Why is it gaining traction?

Its npm-first setup and TypeScript contracts make it dead simple to orchestrate via tsx scripts, standing out from clunkier Python or Rust Polymarket GitHub clones that lack built-in event matching confidence scores or tunable trading env vars. The full research-to-paper-execution flow, including session summaries and deny reason logs, hooks JS devs experimenting with Polymarket GitHub bots, websockets, or CLOB interactions without real capital risk. At 99 stars, it's pulling devs tired of scraping Reddit for Polymarket sports arbitrage tips.

Who should use this?

Sports bettors automating Polymarket sports bets via GitHub agents, quant script kiddies backtesting directional arb on basketball or football markets, or Node.js traders tuning bots before market maker builds. Ideal for solo devs validating Polymarket sports accuracy against sportsbooks without live exposure, or teams integrating into dashboards for ongoing odds monitoring.

Verdict

Grab it for paper-trading research on Polymarket arbitrage—docs are solid, CLI is intuitive, but live execution is blocked pending adapters, matching its 0.7% credibility score and modest 99 stars. Maturity suits prototyping, not prod; tune thresholds and monitor journals first.

(198 words)

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