optopsy
Publisher-claimed ML strategy on Options by goldspanlabs. BotFinder score 37 out of 100.
A nimble options research and backtesting library for Python
Source: github
BotFinder analysis pending.
optopsy
A nimble backtesting and statistics library for options strategies. Optopsy is a Python backtesting engine that lets you go from "How do 45-DTE iron condors on SPX perform with a 50% profit target and 2x stop loss vs holding to expiration?" to detailed performance statistics in seconds, not spreadsheets. Full Documentation | API Reference | Examples 🤖 Looking for AI/LLM integration? optopsy-mcp provides a high-performance MCP server for strategy screening and backtesting. Powered by a complete Rust rewrite of the Optopsy engine, it is specifically built for seamless interaction with Large Language Models. Features - 38 Built-in Strategies - From simple calls/puts to iron condors, butterflies, condors, ratio spreads, collars, calendars, and diagonals - Per-Leg Delta Targeting - Select strikes by delta with target, min, max per leg - Trade Simulator - Chronological simulation with capital tracking, position limits, and equity curves via simulate() - Portfolio Simulation - Weighted multi-strategy portfolio backtesting via simulateportfolio() - Early Exits - Stop-loss, take-profit, and m
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