@marketcalls

vectorbt-expert wraps multi-source backtesting (openalgo, yfinance, ccxt, duckdb) with ta-lib indicators, indian market fee modeling, and 12+ strategy templates that output performance tables, plotly charts, and trade analysis.

indicator-chart generates interactive plotly charts for 100+ technical indicators across multiple exchanges. supports overlay and subplot layouts with signal markers and plain-language interpretations of current readings.

backtesting skill generates complete vectorbt scripts with multi-strategy support, TA-Lib indicators, and NIFTY benchmark comparison, but lacks explicit execution flow and error handling details.

quick-stats generates inline backtests for indian equities using ema crossover strategies, fetches ohlc data from openalgo with yfinance fallback, applies delivery fees, and outputs compact performance metrics with plotly equity curves.

indicator-expert provides technical analysis tooling for openalgo environments, covering real-time market data integration, 100+ indicators via numba-optimized libraries, and plotly/streamlit visualization layers. domain-locked to financial charting workflows.

strategy-compare generates backtesting scripts that compare multiple trading strategies against a single symbol and nifty benchmark, using talib indicators and vectorbt. intended for indian equities with delivery fee modeling.

setup — an installable skill for AI agents, published by marketcalls/vectorbt-backtesting-skills.

optimize — an installable skill for AI agents, published by marketcalls/vectorbt-backtesting-skills.