Best OpenClaw Skills for Stock & Quantitative Trading: A-Share, US Market & Backtesting
Stock trading has produced one of the densest skill ecosystems on OpenClaw. The reason is structural: quantitative trading requires data pipelines, strategy logic, backtesting engines, and execution layers — four distinct technical problems that don't share tooling. OpenClaw currently has skills covering the full trading workflow, split across A-share/Chinese markets and global markets.
Note: Install and download figures in text descriptions reflect stats at the time of writing and may be outdated. All skill tables are live — they fetch current data from the ClawHub database on every page load. Treat table values as authoritative.
By the Numbers
| Metric | Value |
|---|---|
| Skills in this guide | 40+ |
| Workflow stages covered | 5 |
| Top skill by installs | yahoo-finance ( installs) |
| Top skill by downloads | yahoo-finance ( downloads) |
| Skills with install records | ~30 |
| A-share focused skills | ~20 |
| Global market focused skills | ~15 |
1. Market Data: A-Share / Chinese Markets
The Chinese A-share ecosystem runs on two data libraries: AkShare (free, no API key) and Tushare (token required, richer institutional data). Skills built on AkShare are the more accessible entry point — akshare-stock (124 installs, 11,261 downloads) is the ecosystem's most-used A-share skill, covering real-time quotes, financial statements, and sector data. tushare-finance (110 installs) is the Tushare equivalent, with 220+ API endpoints including futures and bond data.
2. Market Data: US / HK / Global Markets
For US and HK markets, yahoo-finance (128 installs, 14,468 downloads) is the dominant data source — it covers real-time quotes, options chains, fundamentals, and earnings via the yfinance Python library, with no API key required. stock-market-pro (75 installs) builds on the same foundation but adds pre-built MACD, RSI, and Bollinger Band computations. stock-monitor-hkus specifically covers HK stocks and crypto monitoring in one skill.
3. Strategy Backtesting
Backtesting is where quantitative strategy development happens: you define entry/exit rules, run them against historical OHLCV data, and measure risk-adjusted returns. backtest-expert (7 installs, 3,633 downloads) is the most comprehensive backtesting guide on the platform — it covers systematic strategy evaluation, bias detection, and walk-forward analysis. quant-trading-backtrader wraps the open-source Backtrader framework for multi-strategy, multi-timeframe backtesting with Python.
4. Technical Analysis & Signals
Technical analysis skills fall into two camps: indicator libraries (compute RSI, MACD, Bollinger Bands on demand) and signal systems (monitor multiple stocks continuously and alert on trigger conditions). stock-analysis-23 is notable for implementing 23 Tongdaxin technical indicators in a single skill — a nod to the Chinese retail trading ecosystem where Tongdaxin terminal is dominant. trading-coach (36 installs) takes a different angle: it imports broker CSV exports and generates post-trade improvement insights rather than forward signals.
5. Portfolio Management & Live Trading
Portfolio management skills track positions, analyze allocation, and generate daily reports. Live trading skills connect to exchange APIs and execute orders — a higher-risk category that requires understanding what you're installing. hyperliquid-trading (38 installs) is the most actively used live trading skill, connecting to Hyperliquid perpetual futures. ai-quant-trader uses AkShare + pandas-ta for A-share automated strategy generation and execution.
Recommended Combinations
| Your situation | Recommended stack |
|---|---|
| A-share beginner, need free data | akshare-stock + stock-price-query |
| A-share quantitative research (professional) | tushare-finance + backtest-expert + joinquant |
| US/HK market analysis | yahoo-finance + stock-market-pro |
| Building a full quant strategy (backtest to live) | quant-trading-backtrader + quantitative-research |
| Daily stock monitoring with alerts | a-stock-monitor + stock-daily-analysis |
| Crypto perpetual futures trading | hyperliquid-trading or apex-trading |
A Few Observations
AkShare vs Tushare is a real fork. AkShare requires no API key and covers most retail use cases; Tushare requires a token (free tier has limitations) but provides institutional-grade data including factors, analyst ratings, and tick data. Most serious quant practitioners use Tushare.
The versioning problem is acute here. akshare-stock, new-akshare-stock, akshare-stock-1-0-1, and akshare-stock-temp are all active. This happens because AkShare's API changes frequently, and skill authors publish new versions rather than updating existing ones. Install the one with the highest recent downloads.
Live trading skills carry real financial risk. Skills like binance-spot-trader and ai-quant-trader execute real orders with real money. Read the skill documentation fully, understand the API permissions you're granting, and test with paper trading (if supported) before going live.
The Tongdaxin ecosystem is specifically Chinese. Skills implementing Tongdaxin indicators (stock-analysis-23) are built for Chinese retail traders who use that terminal. They're valuable for that audience but not widely applicable outside mainland China.
Trading Coach is underrated. With 36 installs and a focus on retrospective analysis rather than forward prediction, trading-coach addresses a gap most trading tools ignore: learning from past trades rather than generating new signals.
Data source: ClawHub platform install and download counts as of April 10, 2026. Visit clawhub-skills.com to search for more skills.