#1
LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
52K starsJun 29, 2026 pushfinancePythonFinance
$ npx skills add ZhuLinsen/daily_stock_analysisAlternatives
TradingStrategies alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
TradingStrategies
Algorithmic trading strategies
49
Quality
71
Trust
174
Stars
#2
The QuantLib C++ library
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$ npx skills add microsoft/qlib#5
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$ npx skills add OpenBB-finance/OpenBB#6
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$ npx skills add Fincept-Corporation/FinceptTerminal#7
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
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$ npx skills add myhhub/stock#8
An advanced crypto trading bot written in Python
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$ npx skills add jesse-ai/jesse#9
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
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$ npx skills add polakowo/vectorbt#10
A cryptocurrency trading API with more than 100 exchanges in JavaScript / TypeScript / Python / C# / PHP / Go / Java
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$ npx skills add ccxt/ccxt#11
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$ npx skills add vnpy/vnpy#12
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$ npx skills add hummingbot/hummingbot#13
Your AI trading terminal assistant for US stocks, commodities, forex, and crypto.
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$ npx skills add NoFxAiOS/nofx#14
TradingAgents: Multi-Agents LLM Financial Trading Framework
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$ npx skills add TauricResearch/TradingAgents#15
Free, open source crypto trading bot
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$ npx skills add freqtrade/freqtrade#16
FinRL®: Financial Reinforcement Learning. 🔥
15K starsMay 25, 2026 pushfinanceJupyter NotebookTrading
$ npx skills add AI4Finance-Foundation/FinRLHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep TradingStrategies if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.