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Found 8 Skills
Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.
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).
Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics
Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.
Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.
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.
OpenAlgo agent skill — comprehensive coverage of the OpenAlgo Python SDK for Indian markets (NSE / BSE / NFO / BFO / CDS / BCD / MCX / NCO). Use when the user asks to place / modify / cancel orders, build a limit-order-chasing or custom execution algo, fetch quotes / depth / historical OHLCV (REST or direct DuckDB Historify), pull option chains with Greeks, calculate margin or funds, stream live LTP / Quote / Depth over WebSocket, build a scanner, render a heatmap / OI chart / candlestick, backtest a strategy with vectorbt, send Telegram / WhatsApp alerts, or toggle analyzer (sandbox) mode. Also triggers for general questions about programmatic trading on Indian exchanges when OpenAlgo is the user's platform.