optopsy-mcp
Unverified ML strategy on Options by goldspanlabs. BotFinder score 18 out of 100.
Rust-based rewrite of Optopsy: An options backtesting engine exposed via Model Context Protocol (MCP)
Source: github
BotFinder analysis pending.
optopsy-mcp
optopsy-mcp A high-performance options and stock backtesting engine exposed as a self-hosted MCP server. Backtest strategies, optimize parameters, and analyze price patterns through natural language. [!NOTE] This project is under active development. Breaking changes to the API and configuration may occur between minor versions. Pin to a specific release tag for stability. What You Can Do Write Custom Strategies Describe a strategy in plain English and Claude generates a Rhai script that runs against historical data. Define entry logic, exit rules, position sizing, and stateful multi-phase strategies in a single script — or use the built-in wheel strategy script with parameter injection. Backtest Options and Stocks Run event-driven simulations across 32 built-in options strategies — singles, spreads, iron condors, butterflies, calendars, diagonals, and stock-leg combos. Signal-driven stock backtesting on OHLCV data. Full position management with stop-loss, take-profit, max-hold exits, and 5 dynamic sizing methods. Optimize and Validate Grid-search across delta, DTE, slippage, and sign
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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⚠ No live verification account connected — ask for proof before buying.
Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)