An advanced algorithmic trading skill for Polymarket short-term markets using CEX momentum and multi-signal confirmation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fastloop
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fastloop using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Polymarket FastLoop Trader (Improved)?
The Polymarket FastLoop Trader (Improved) is a sophisticated automation tool designed for the high-frequency environment of 5-minute and 15-minute prediction markets. Built to enhance standard trading strategies, this entry in the Openclaw Skills library utilizes real-time Binance momentum, funding rates, and order book imbalances to identify high-probability entries.
It prioritizes risk management through exact fee-accurate Expected Value (EV) calculations and volatility-adjusted position sizing. Whether you are navigating BTC, ETH, or SOL markets, this Openclaw Skills contribution provides a rigorous framework for paper testing and live execution with a focus on statistical calibration and edge filtering.
Polymarket FastLoop Trader (Improved) Use Cases
- Scalping 5-minute and 15-minute BTC, ETH, and SOL price prediction markets on Polymarket.
- Automating momentum-based strategies using CEX price action as a leading indicator.
- Backtesting and calibrating win rates in paper mode before committing real capital.
- Filtering trades during low-liquidity hours to avoid slippage and unpredictable volatility.
- Integrating sophisticated risk management like volatility-adjusted sizing into a trading bot.
How Polymarket FastLoop Trader (Improved) Works
- The skill fetches real-time one-minute candle data from Binance to calculate momentum across a 5-minute window.
- It optionally evaluates secondary signals like funding rates and order book depth to confirm trend strength.
- The system calculates the exact breakeven point considering Polymarket's 10% fee structure to ensure a positive expected value.
- It checks time-of-day filters and recent asset volatility to determine if a trade should be skipped or the size adjusted.
- If all criteria and thresholds are met, the skill executes the trade on Polymarket or logs it in a local paper trading ledger.
- Users run the resolution command to sync outcomes with real market results and analyze performance metrics via the stats interface.
Polymarket FastLoop Trader (Improved) Setup
Install the required SDK and set your environment variables to get started with this Openclaw Skills package:
pip install simmer-sdk
export SIMMER_API_KEY="your-key-here"
To run the skill in paper mode and validate your strategy:
python fastloop_improved.py
To go live after confirming your win rate:
python fastloop_improved.py --live
Polymarket FastLoop Trader (Improved) Data Schema & Taxonomy
The skill manages performance data through a structured local ledger to facilitate win-rate calibration.
| Data Component | Description |
|---|---|
| fastloop_ledger.json | A JSON database storing trade history, entry prices, and resolved outcomes. |
| Performance Stats | Metrics including win rate by asset, P&L, and signal accuracy. |
| Settings Schema | Configuration for momentum thresholds, fee buffers, and daily budgets. |
Polymarket FastLoop Trader (Improved) Advanced Features
- Multi-signal confirmation: Combine price momentum with Binance L2 order book imbalance and perpetual funding rates.
- Volatility-adjusted sizing: Automatically scale position sizes based on 24-hour historical volatility to protect capital.
- Native Cron Integration: Seamlessly schedule trading intervals using Openclaw Skills cron commands for 24/7 automation.
- Fee-Accurate EV Math: Built-in logic ensures trades only fire when the divergence from the market price exceeds the fee-adjusted breakeven point.
- Statistical Calibration: Use the resolve and stats flags to fine-tune your strategy parameters based on actual historical performance.
SKILL.md
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