An advanced multi-market algorithmic trading companion that automates strategy development, runs rigorous backtesting engines, and provides daily risk-managed live trading signals.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-quant-trading-commander
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 ai-quant-trading-commander 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 AI Quant Trading Commander?
AI Quant Trading Commander is a full-lifecycle artificial intelligence decision system designed for sophisticated cross-market algorithmic trading. It bridges the gap between complex quantitative research and live market execution across major financial ecosystems including A-shares, US stocks, Hong Kong stocks, and cryptocurrencies. By combining deep mathematical modeling with cutting-edge artificial intelligence capabilities, it automates everything from alpha factor generation to portfolio risk adjustment.
Built natively as part of the Openclaw Skills ecosystem, this solution empowers developers and traders to discover high-alpha opportunities without managing disparate data feeds or building charting infrastructure from scratch. It utilizes premium financial data streams and unifies them into an actionable interface, complete with macroeconomic sentiment analysis, corporate earnings breakdowns, and automated technical chart pattern recognition.
AI Quant Trading Commander Use Cases
- Multi-Market Portfolio Expansion: Simultaneously track and extract alpha from Chinese A-Shares, US Equities, HKEX, and global Crypto exchanges.
- Rapid Strategy Backtesting: Verify your trading hypotheses against decades of historical market data with realistic fee and slippage simulations.
- Automated Morning Signal Generation: Receive comprehensive, pre-market actionable technical lists, risk briefings, and allocation layouts daily.
- AI-Driven Sentiment Harvesting: Scan real-time financial newsletters and analyst reports to derive NLP sentiment indicators for momentum trading.
- Institutional Risk Control: Protect capital using quantitative rebalancing models such as the Kelly Criterion and Black-Litterman optimization.
How AI Quant Trading Commander Works
- Data Ingestion: The system continuously captures pricing, fundamental indicators, and alternative sentiment data from sources like Yahoo Finance, Binance API, and Futu OpenAPI.
- Factor Synthesis: It processes raw feeds through an extensive factor factory, synthesizing over 100 technical, fundamental, and alternative markers using IC analysis and dynamic weight allocation.
- Strategy Validation: Selected criteria run through an integrated backtesting engine, simulating real-world transaction costs, slippage limits, and T+1 rules over extensive historical timelines.
- Robustness Verification: Validated strategies undergo Monte Carlo simulations and out-of-sample testing to thoroughly detect parameter sensitivities and combat overfitting.
- Signal Deployment: Live strategy execution monitors intraday price action, immediately firing off structured risk reports, target stops, and portfolio rebalancing instructions directly to the user.
AI Quant Trading Commander Setup
Prerequisites
Ensure your target machine has the required core binary and system packages configured:
- curl
- python
- git
Installation
Install the specialized quantitative and mathematical libraries to enable internal data modeling and factor calculation via python:
pip install pandas numpy scipy matplotlib ta-lib
AI Quant Trading Commander Data Schema & Taxonomy
The skill manages global asset parameters and metrics structured through the following operational matrix:
| Market | Primary Data Sources | Execution Protocols | Specialty Focus |
|---|---|---|---|
| A-Shares | Eastmoney / Tonghuashun / Tushare | QMT / Ptrade | Limit-Up tracking, Top Player Capital Flows |
| US Stocks | Yahoo Finance / Alpha Vantage | Alpaca / IBKR | Earnings-driven plays, Options Volatility |
| HK Stocks | Futu OpenAPI / HKEX | Futu OpenAPI | AH Premium Arbitrage, Stock Connect flows |
| Crypto | Binance / OKX API | CCXT Unified Library | Grid Trading, Funding Rate Arbitrage |
Factor Inventory Taxonomy
- Technical Factors (50+): MACD, RSI, Bollinger Bands, ATR, Ichimoku Cloud, and Chips Distribution.
- Fundamental Factors (30+): PE, PB, ROE, Gross Profit Margins, Free Cash Flow, and Institutional Holdings.
- Alternative Factors (20+): Financial NLP Sentiment, Northbound Capital, Margin Trading balances, and Options Put/Call Ratios (PCR).
AI Quant Trading Commander Advanced Features
- Advanced Performance Evaluation: Evaluates strategy viability using Sharpe Ratio, Max Drawdown, Win Rate, Calmar Ratio, Alpha, and Beta metrics.
- Automated Chart Annotation: Leverages visual AI concepts to scan and auto-label over 50 technical chart patterns including Head and Shoulders, Cup & Handle, and Double Bottoms.
- Blacklist & Guardrails: Hardcoded safeguards automatically filter out distressed assets, financial statement anomalies, major shareholder divestments, and regulatory penalty alerts.
- Multi-Temporal Automation: Executes unique workflows across the day—generating pre-market signal digests, firing real-time intraday triggers, and compiling comprehensive weekly and monthly parameter optimization retrospectives.
SKILL.md
Loading
Related Openclaw Skills
WeChat Ecosystem Manager
An all-in-one AI-driven manager to automate WeChat Official Accounts, Mini Programs, WeCom, WeChat Pay, and Video Channels.
Real Estate Investment Advisor
An AI-driven property decision system designed to automate valuation, loan structure simulation, rental yields, and complete lifecycle investment modeling.
A Distant Mirror Medieval History Skill
An AI agent skill translating Barbara Tuchman's A Distant Mirror into an interactive historical database detailing 14th-century crises and their modern parallels.
AI Parenting & Education Coach
An AI-driven parenting and education system providing personalized learning paths, tutoring guidance, development tracking, and parental communication tools for children aged 0-18.
AI Medical Assistant
An advanced AI-driven healthcare assistant providing symptom analysis, multi-drug interaction checking, health report interpretation, and direct medical literature querying.
A Short History of Nearly Everything
A popular science toolkit that translates complex cosmological, geological, and biological histories into accessible and engaging AI-driven insights.
Featured*
