{"enrichment":{"faq":[{"a":"strategy-generate lets you design trading strategies by defining entry/exit logic in Python, then automatically backtests them across stocks, crypto, and other instruments. Write your signal engine with custom conditions, configure your parameters, and the skill handles data loading and performance analysis\u2014no boilerplate required.","q":"How do I create a quantitative trading strategy with strategy-generate?"},{"a":"Yes. strategy-generate backtests your strategy across historical price data, evaluating how your entry/exit conditions would have performed. The skill generates performance metrics and trading signals automatically, letting you validate your idea before deploying it live.","q":"Can strategy-generate backtest a trading idea on historical data?"},{"a":"strategy-generate generates trading signals based on the custom signal logic you define in Python. You specify your indicators, thresholds, and conditions; the skill applies them to historical and real-time data to produce entry and exit signals for your strategy.","q":"What does strategy-generate use to generate trading signals?"},{"a":"strategy-generate lets you design position sizing and risk management rules within your strategy definition. Configure your position sizing logic, stop-loss levels, and portfolio constraints; the skill applies them during backtesting and evaluation to show how your risk parameters affect overall performance.","q":"How does strategy-generate optimize position sizing and risk management?"},{"a":"Yes. strategy-generate supports parameter optimization and validation across multiple markets and instruments. Test different configurations of your entry/exit logic, position sizing, and risk rules to find the settings that maximize your strategy's performance metrics.","q":"Can I optimize trading strategy parameters with strategy-generate?"},{"a":"strategy-generate works with stocks, cryptocurrencies, and other instruments. Build and backtest algorithmic trading strategies across any market where you have historical price data, then validate performance before deploying your strategy live.","q":"What markets and assets does strategy-generate support?"}],"shadow_tags":["algo-trading","signal-generation","backtest-engine","position-management","strategy-optimization","performance-metrics","entry-exit-logic","risk-control","portfolio-construction","trade-evaluation"],"summary_rewrite":"strategy-generate lets you design trading strategies by defining entry/exit logic, then automatically backtests them across stocks, crypto, and other instruments. Write your signal engine in Python, configure your parameters, and the skill handles data loading and performance analysis\u2014no boilerplate required."},"files":[{"bytes":12184,"path":"agent/src/skills/strategy-generate/SKILL.md","sha256":"193eecd7d27b02badff9a026e9ce815953971fe11aaaa9ba910c6bc7d5f7f39c","url":"https://skillfed.io/files/HKUDS/Vibe-Trading/strategy-generate/a240b4eb/SKILL.md"}],"id":"HKUDS/Vibe-Trading/strategy-generate","links":{"html":"https://skillfed.io/HKUDS/Vibe-Trading/strategy-generate","md":"https://skillfed.io/HKUDS/Vibe-Trading/strategy-generate.md","repo":"https://github.com/HKUDS/Vibe-Trading"},"meta":{"agents_supported":[],"first_seen":"2026-07-28","forks":4557,"language":"Python","last_updated":"2026-07-27","license":"MIT","name":"strategy-generate","publisher":"HKUDS","stars":28096},"relations":{"similar":[{"id":"HKUDS/Vibe-Trading/fundamental-filter"},{"id":"HKUDS/Vibe-Trading/data-routing"},{"id":"HKUDS/Vibe-Trading/yfinance"},{"id":"HKUDS/Vibe-Trading/minute-analysis"},{"id":"HKUDS/Vibe-Trading/cross-market-strategy"},{"id":"HKUDS/Vibe-Trading/execution-model"},{"id":"HKUDS/Vibe-Trading/agent"},{"id":"HKUDS/Vibe-Trading/akshare"},{"id":"HKUDS/Vibe-Trading/multi-factor"},{"id":"HKUDS/Vibe-Trading/pair-trading"}]},"slug":{"owner":"HKUDS","repo":"Vibe-Trading","skill":"strategy-generate"},"version":"a240b4eb"}