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tommy-ca

@tommy-ca source repo

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• 7 skills
• 0 followers
• 15 hours ago last updated

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   Youtube Research · tommy-ca bundle

   Automate NotebookLM notebook creation from YouTube videos. Given a YouTube video URL, extract information about people featured in the video, research them online, create a new NotebookLM notebook with the video and research as sources, and generate an audio overview.
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   Setup · tommy-ca

   Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.
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   Backtest · tommy-ca

   Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.
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   Optimize · tommy-ca

   Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.
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   Quick Stats · tommy-ca

   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.
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   Vectorbt Expert · tommy-ca bundle

   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).
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   Strategy Compare · tommy-ca

   Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.
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