PoIycool

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18
0
89% credibility
Found Apr 10, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A bot that fetches sports markets from Polymarket, matches them to sportsbook odds, detects directional arbitrage opportunities based on probability differences, and runs paper trading simulations with risk controls.

How It Works

1
πŸ† Discover the Opportunity Finder

You hear about a handy tool that spots smart betting chances by comparing prediction markets to sportsbooks.

2
πŸ“₯ Get It Set Up

Download the tool to your computer and prepare it with a few simple settings for sports data.

3
πŸ”— Connect Sports Info Sources

Link it to free sports odds feeds so it can compare real betting lines.

4
πŸ” Scan for Deals

Hit start and watch it pull live sports events from prediction markets and match them to sportsbook odds.

5
πŸ’‘ Spot Winning Edges

It highlights events where the prediction market price is lower than the sportsbook's chance of winning.

6
πŸ€– Run Practice Trades

Turn on the auto-trader to pretend-buy low and sell high with built-in safety limits.

7
πŸ“Š Review Your Gains

Check the logs and summaries to see pretend profits, trades, and why some were skipped.

πŸŽ‰ Master Smart Bets

Now you have a system spotting value bets on sports events, ready to review real opportunities safely.

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Star Growth

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AI-Generated Review

What is Polymarket-Sports-Arbitrage-Bot?

This TypeScript CLI bot pulls live sports markets from Polymarket's Gamma API, matches them to Odds API or ESPN events, and flags directional arbitrage opportunities where sportsbook-implied probabilities exceed Polymarket prices. It runs paper-mode auto-trading cycles with configurable stakes, stop-losses, take-profits, and liquidity checks, dumping logs and summaries to JSON/CSV for backtesting. Built for Polymarket arbitrage sports betting, it handles NBA, NFL, MLB via simple `npm start` or granular commands like `npm run fetch:odds-comparison`.

Why is it gaining traction?

Event matching scores confidence levels, ESPN fallback dodges Odds API delays or keys, and sample backtests claim +44% returns over 30 days on $25 stakes. CLI hooks like `npm run detect:arb` and session summaries make spotting Polymarket sports arbitrage bot edges instant, no quant PhD needed. Devs grab it as a Polymarket github bot starter for sports API websocket tweaks or CLOB cloning.

Who should use this?

Quant hobbyists or sports bettors automating Polymarket sports bets against books, especially NBA/MLB traders chasing reddit-hyped edges. Devs forking for Polymarket github sdk agents or custom arbitrage sports betting bots. Avoid if you need live execution or non-US sports accuracy.

Verdict

Grab for paper-testing Polymarket sports arbitrageβ€”CLI shines, docs solid, but 10 stars and 0.9% credibility score mean it's raw; add tests and live Polymarket github api trades yourself.

(198 words)

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