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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Paper trading simulator for Polymarket — built for AI agents. MCP server, live order books, strategy backtesting. Install: npx clawhub install polymarket-paper-trader
| Date | Stars |
|---|---|
| 2026-07-31 | 368 |
| 2026-08-03 | 369 |
| 2026-08-06 | 369 |
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# polymarket-paper-trader [](https://pypi.org/project/polymarket-paper-trader/) [](https://github.com/agent-next/polymarket-paper-trader/actions/workflows/test.yml) [](https://clawhub.com/robotlearning123/polymarket-paper-trader) [](https://github.com/agent-next/polymarket-paper-trader/blob/main/LICENSE) **Your AI agent just became a Polymarket trader.** Install → your agent gets $10,000 paper money → trades real Polymarket order books → tracks P&L → competes on a public leaderboard. Zero risk. Real prices. > "My AI agent hit +18% ROI on Polymarket in one week. Zero risk, real order books." Part of [agent-next](https://github.com/agent-next) — open research lab for self-evolving autonomous agents. ## 60-second demo ```bash npx clawhub install polymarket-paper-trader # install via ClawHub pm-trader init --balance 10000 # $10k paper money pm-trader markets search "bitcoin" # find markets pm-trader buy will-bitcoin-hit-100k yes 500 # buy $500 of YES pm-trader stats --card # shareable stats card ``` That's it. Your AI agent is now trading Polymarket with zero risk. ## Install ```bash # via pip pip install polymarket-paper-trader # via ClawHub (for OpenClaw agents) npx clawhub install polymarket-paper-trader # from source (development) uv pip install -e ".[dev]" ``` Requires Python 3.10+. ## Not a toy — this is a real exchange simulator Other tools mock prices or use random numbers. We simulate the actual exchange: - **Level-by-level order book execution** — your order walks the real Polymarket ask/bid book, consuming liquidity at each price level, just like a real trade - **Exact fee model** — `bps/10000 × min(price, 1-price) × shares` — the same formula Polymarket uses - **Slippage tracking** — every trade records how much worse your fill was vs the midpoint, in basis points - **Limit order state machine** — GTC (good-til-cancelled) and GTD (good-til-date) with full lifecycle - **Strategy backtesting** — replay your strategy against historical price snapshots - **Multi-outcome markets** — not just YES/NO binary, supports any number of outcomes Your paper P&L would match real P&L within the spread. That's the point. ## Quick start ```bash # Initialize with $10k paper balance pm-trader init --balance 10000 # Browse markets pm-trader markets list --sort liquidity pm-trader markets search "bitcoin" # Trade pm-trader buy will-bitcoin-hit-100k yes 100 # buy $100 of YES pm-trader sell will-bitcoin-hit-100k yes 50 # sell 50 shares # Check portfolio and P&L pm-trader portfolio pm-trader stats ``` ## CLI commands | Command | Description | |---------|-------------| | `init [--balance N]` | Create paper trading account | | `balance` | Show cash, positions value, total P&L | | `reset --confirm` | Wipe all data | | `markets list [--limit N] [--sort volume\|liquidity]` | Browse active markets | | `markets search QUERY` | Full-text market search | | `markets get SLUG` | Market details | | `price SLUG` | YES/NO midpoints and spread | | `book SLUG [--depth N]` | Order book snapshot | | `watch SLUG [SLUG...] [--outcome yes\|no]` | Monitor live prices | | `buy SLUG OUTCOME AMOUNT [--type fok\|fak]` | Buy at market price | | `sell SLUG OUTCOME SHARES [--type fok\|fak]` | Sell at market price | | `portfolio` | Open positions with live prices | | `history [--limit N]` | Trade history | | `orders place SLUG OUTCOME SIDE AMOUNT PRICE` | Limit order | | `orders list` | Pending limit orders | | `orders cancel ID` | Cancel a limit order | | `orders check` | Fill limit orders if price crosses | | `stats [--card\|--tweet\|--plain]` | Win rate, ROI, profit, max drawdown | |
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f8123d6e559f40c1, topic:ai-agent, desc:ai agents
matched fp:f8123d6e559f40c1, topic:mcp, desc:mcp server