Taprclaw-ai-agent

Taprclaw-ai-agent / openclaw-cross-market-arbitrage-agent

Public

openclaw cross market arbitrage agent, openclaw cross market arbitrage agent

arbitrage cross-market openclaw
54
49
100% credibility
Found Mar 10, 2026 at 53 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

This open-source tool monitors prediction markets on Kalshi and Polymarket, detects price differences for the same events, and automatically executes balanced trades to capture arbitrage profits.

How It Works

1
🔍 Discover Smart Betting Opportunities

You hear about prediction markets where the same events like Bitcoin price moves have different odds on different sites, creating chances to profit by betting on both sides.

2
📝 Sign Up for Betting Accounts

You create free accounts on two sites, Kalshi and Polymarket, and get ready to connect them safely.

3
💻 Get the Free Trading Helper

You download the simple tool that watches both sites for you and add your private login details securely.

4
⚙️ Set Your Safety Rules

You pick comfortable limits like maximum bet size, daily spending cap, and pause times between trades to stay in control.

5
Pick Test or Live Mode
🧪
Practice Mode

Run pretend trades first to see how it spots deals without risking money.

💰
Live Mode

Switch to real trades once you're confident.

6
🚀 See It Spot and Grab Deals

The tool scans prices non-stop, finds mismatches big enough to beat fees, and places balanced bets on both sites instantly.

📈 Watch Profits Roll In

You check reports of steady small wins from captured price gaps, with full tracking of performance and safety.

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Star Growth

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AI-Generated Review

What is openclaw-cross-market-arbitrage-agent?

This TypeScript agent hunts arbitrage in prediction markets by streaming orderbook data from Kalshi and Polymarket, spotting price gaps on matching contracts like BTC 15-minute up/down bets. It normalizes odds across venues, filters for edges beating fees and slippage, runs risk checks, then executes hedged trades to lock in market-neutral profits. Fire it up via npm run dev with YAML configs and env vars for keys—dry-run mode lets you simulate without risking capital.

Why is it gaining traction?

OpenClaw-inspired design separates data feeds, detection, risk, and execution cleanly, making it extensible beyond current markets. It tackles real pitfalls like partial fills, stale quotes, liquidity traps, and outages with built-in safeguards, unlike basic scripts that burn money. Devs eyeing prediction market inefficiencies grab it for the robust, production-ready skeleton in TypeScript.

Who should use this?

Prediction market traders automating cross-venue arb between Kalshi and Polymarket. DeFi builders prototyping OpenClaw agents or GitHub Copilot-assisted trading bots. Quant hobbyists testing live strategies with Postgres persistence and risk limits.

Verdict

Solid starter for cross-market arbitrage agents, with strong docs and edge-case smarts, but 1.0% credibility score and 53 stars signal early maturity—dry-run extensively, add tests, then deploy. Fork it if you're in prediction markets.

(198 words)

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