Marketcalls

Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.

Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.

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).

Create a new story video from a context. Writes story.json, gets the script approved, then generates the Sarvam voiceover and FLUX 2 artwork and renders the mp4.

Regenerate and render an existing story. Use to change a line of narration, swap a voice, redo one image, switch orientation, or re-render to mp4.

Set up the story-telling environment. Checks Node, installs dependencies, creates .env from the template, verifies the Sarvam, fal and OpenAI keys, and confirms all Remotion packages are on one version.

Story video expert. Use when the user asks to make an explainer video, a story video, a reel or a short, a narrated video from an article, a cartoon explainer, or asks to add a scene, change a voice, redo an image, switch to vertical, or re-render an existing story. Also triggers for Sarvam AI voiceover, bulbul TTS, FLUX 2 image generation, flux-2-pro/edit reference photos, and Remotion narration timing.