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Autonomous multi-strategy trading bot for Polymarket prediction markets. Scans ALL markets (crypto, politics, sports, economics, entertainment) for parity arbitrage, tail-end trading, and logical arbitrage opportunities. Features paper trading mode, Kelly Criterion position sizing, circuit breakers, and full optimizer integration via learned_config.json.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install georges91560/polymarket-executor-skillInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Autonomous trading bot for Polymarket prediction markets.
Starts in paper mode (simulated capital, zero risk) to validate strategy performance before deploying real money. Reads configuration from learned_config.json (adjusted automatically by polymarket-optimizer every 6 hours).
Markets covered:
Total markets scanned: 500–5000+ per cycle
cd /data/.openclaw/workspace/skills/polymarket-executor
python3 polymarket_executor.py
Expected output:
============================================================
POLYMARKET EXECUTOR v2.0.0
============================================================
[MODE] 📄 PAPER TRADING (simulated capital: $100.00)
[CONFIG] Loaded learned_config.json
[GAMMA] Fetched 2,341 markets
[SCAN] Scanning 500 markets with 50 workers...
[SCAN] Found 8 opportunities
[TRADE] PAPER: parity_arbitrage | YES+NO = $0.94 | Edge: 6.3%
[PORTFOLIO] Capital: $100.00 | Open: 2 | P&L: +$0.00
export PAPER_MODE=false
export POLYMARKET_API_KEY="your_key"
export POLYMARKET_SECRET="your_secret"
export POLYMARKET_PASSPHRASE="your_passphrase"
export POLYMARKET_CAPITAL=50.0
python3 polymarket_executor.py
YES + NO prices don't sum to $1.00 → buy both → guaranteed profit
YES: $0.45 + NO: $0.49 = $0.94 total
Buy both → payout: $1...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
Autonomous multi-strategy trading bot for Polymarket prediction markets
Part of the Wesley Agent Ecosystem — built for OpenClaw autonomous AI agent.
Scans all Polymarket markets 24/7 for profitable opportunities using 3 strategies:
| Strategy | Risk | Win Rate | Frequency |
|---|---|---|---|
| Parity Arbitrage | ZERO | 100% | 5–20/day |
| Tail-End Trading | Very Low | 95–98% | 10–30/day |
| Logical Arbitrage | Low | 90–95% | 2–10/day |
Markets: Crypto, Politics, Sports, Economics, Tech, Entertainment, Weather — everything on Polymarket.
learned_config.json updated by optimizer every 6hperformance_metrics.json for optimizerpolymarket-executor/
├── SKILL.md ← OpenClaw integration
├── README.md ← This file
├── CONFIGURATION.md ← Setup guide
├── SYSTEMD_SETUP.md ← Run as system service
└── polymarket_executor.py ← Main trading bot
Runtime files (auto-created in WORKSPACE):
paper_trades.json ← Paper trade log
portfolio.json ← Capital & positions
performance_metrics.json ← Strategy stats
learned_config.json ← Optimizer parameters
live_trades.jsonl ← Real trades (live mode)
# Paper mode — no credentials needed
python3 polymarket_executor.py
# Live mode — after paper validation
export PAPER_MODE=false
export POLYMARKET_API_KEY=...
export POLYMARKET_SECRET=...
export POLYMARKET_PASSPHRASE=...
python3 polymarket_executor.py
polymarket-executor ← Thi...
# Polymarket Executor — Multi-Strategy Trading Bot ## 🎯 WHAT IT DOES Autonomous trading bot for Polymarket prediction markets. Starts in **paper mode** (simulated capital, zero risk) to validate strategy performance before deploying real money. Reads configuration from `learned_config.json` (adjusted automatically by `polymarket-optimizer` every 6 hours). **Markets covered:** - ✅ Crypto (BTC, ETH, altcoins — price targets, daily/weekly) - ✅ Politics (elections, policy, polls, government decisions) - ✅ Sports (NBA, NFL, MLB, NHL, Soccer, UFC, Tennis, Golf) - ✅ Economics (Fed rates, CPI, jobs reports, GDP) - ✅ Technology (Apple, Tesla, Google, IPOs, launches) - ✅ Entertainment (Oscars, Emmys, box office) - ✅ Weather (hurricanes, temperature records, climate events) - ✅ Miscellaneous (all binary outcome markets) **Total markets scanned:** 500–5000+ per cycle --- ## ⚡ QUICK START ### Paper Mode (Default — No credentials needed) ```bash cd /data/.openclaw/workspace/skills/polymarket-executor python3 polymarket_executor.py ``` Expected output: ``` ============================================================ POLYMARKET EXECUTOR v2.0.0 ============================================================ [MODE] 📄 PAPER TRADING (simulated capital: $100.00) [CONFIG] Loaded learned_config.json [GAMMA] Fetched 2,341 markets [SCAN] Scanning 500 markets with 50 workers... [SCAN] Found 8 opportunities [TRADE] PAPER: parity_arbitrage | YES+NO = $0.94 | Edge: 6.3% [PORTFOLIO] Capital: $100.00 | Open: 2 | P&L: +$0.00 ``` ### Live Mode (After paper validation) ```bash export PAPER_MODE=false export POLYMARKET_API_KEY="your_key" export POLYMARKET_SECRET="your_secret" export POLYMARKET_PASSPHRASE="your_passphrase" export POLYMARKET_CAPITAL=50.0 python3 polymarket_executor.py ``` --- ## 🔥 STRATEGIES ### 1. Parity Arbitrage — Risk: ZERO ✅ **YES + NO prices don't sum to $1.00 → buy both → guaranteed profit** ``` YES: $0.45 + NO: $0.49 = $0.94 total Buy both → payout: $1...
# Polymarket Executor 🎯 **Autonomous multi-strategy trading bot for Polymarket prediction markets** Part of the **Wesley Agent Ecosystem** — built for OpenClaw autonomous AI agent. --- ## What It Does Scans all Polymarket markets 24/7 for profitable opportunities using 3 strategies: | Strategy | Risk | Win Rate | Frequency | |---|---|---|---| | Parity Arbitrage | ZERO | 100% | 5–20/day | | Tail-End Trading | Very Low | 95–98% | 10–30/day | | Logical Arbitrage | Low | 90–95% | 2–10/day | **Markets:** Crypto, Politics, Sports, Economics, Tech, Entertainment, Weather — everything on Polymarket. --- ## Key Features - 📄 **Paper mode** — validates strategy before risking real money - 🧠 **Adaptive** — reads `learned_config.json` updated by optimizer every 6h - ⚖️ **Kelly Criterion** — optimal position sizing per trade - 🛡️ **Circuit breakers** — auto-halts at -15% daily loss - 📱 **Telegram alerts** — real-time scan reports and trade notifications - 🔄 **Self-improving** — writes `performance_metrics.json` for optimizer --- ## Files ``` polymarket-executor/ ├── SKILL.md ← OpenClaw integration ├── README.md ← This file ├── CONFIGURATION.md ← Setup guide ├── SYSTEMD_SETUP.md ← Run as system service └── polymarket_executor.py ← Main trading bot ``` **Runtime files (auto-created in WORKSPACE):** ``` paper_trades.json ← Paper trade log portfolio.json ← Capital & positions performance_metrics.json ← Strategy stats learned_config.json ← Optimizer parameters live_trades.jsonl ← Real trades (live mode) ``` --- ## Quick Start ```bash # Paper mode — no credentials needed python3 polymarket_executor.py # Live mode — after paper validation export PAPER_MODE=false export POLYMARKET_API_KEY=... export POLYMARKET_SECRET=... export POLYMARKET_PASSPHRASE=... python3 polymarket_executor.py ``` --- ## Ecosystem ``` polymarket-executor ← Thi...
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