optimize 是做什麼的？
使用 VectorBT 優化策略參數。測試參數組合並生成熱圖。
使用 VectorBT 優化策略參數。測試參數組合並生成熱圖。
此技能專為使用 VectorBT 進行交易策略參數優化而設計。它能夠系統性地測試各種參數組合，並生成直觀的熱圖來視覺化不同參數設定下的策略表現。支援 Python 開發環境，特別適用於量化交易和 algorithmic trading 的場景。使用者可以定義參數範圍，技能會自動執行回測並產出最佳參數組合及對應的績效指標，大幅提升策略開發效率。
npx skills add https://github.com/marketcalls/vectorbt-backtesting-skills/tree/main/skills/optimizeInstalled? Explore more 程式設計與開發 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
使用 VectorBT 優化策略參數。測試參數組合並生成熱圖。
This repo contains 5 individual skills — each has its own dedicated page.
Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.
Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.
Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.
Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.
VectorBT backtesting expert. Use when user asks to backtest strategies, create entry/exit signals, analyze portfolio performance, optimize parameters, fetch historical data, use VectorBT/vectorbt, compare strategies, position sizing, equity curves, drawdown charts, or trade analysis. Also triggers for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.