5 boosters for "backtest" — open source, verified from GitHub, ready to install
"name": "polars-backtest", "description": "Polars backtest extension development helper - backtesting with polars expressions", "url": "https://github.com/Yvictor"
AlgoClash is a competitive platform where developers build and deploy autonomous AI trading agents that battle in simulated stock markets with live leaderboards and backtesting. It's useful for ML/AI engineers interested in algorithmic trading, agent design, and competitive benchmarking.
Access crowdsourced forecasting data from RAND's Forecasting Initiative for policy-relevant predictions on geopolitics, national security, and S&T policy. Ideal for developers building forecasting tools, decision-support systems, or needing calibrated base rates for predictions.
Heuristic scoring (no AI key configured).
An MCP server that enables AI-powered trading strategy development with backtesting, market data integration, and portfolio analysis capabilities. Useful for traders and financial developers seeking to leverage AI for quantitative strategy development.
