Optopsy FAQs

Question 1

How does Optopsy handle options market data?

Accepted Answer

Optopsy features a symmetric caching data layer that loads options data from local Parquet files. It also supports S3-compatible storage with fetch-on-miss, allowing seamless access to historical data by symbol.

Question 2

What performance metrics and analysis does Optopsy provide?

Accepted Answer

Optopsy offers detailed performance metrics including Sharpe Ratio, Sortino Ratio, Calmar Ratio, Value at Risk (VaR), and maximum drawdown. It also provides statistical evaluations, grouping trades by DTE/delta buckets for in-depth aggregate stats.

Question 3

What is Optopsy?

Accepted Answer

Optopsy is an AI-driven backtesting engine designed for options trading strategies. It allows users to simulate strategy performance, screen for optimal approaches, and evaluate results with comprehensive financial metrics.

Question 4

What kind of options strategies can I backtest with Optopsy?

Accepted Answer

Optopsy comes with 32 built-in options strategies, covering a wide range from singles and verticals to straddles, strangles, butterflies, condors, calendars, and diagonals. You can also statistically evaluate custom parameters.

Question 5

Can Optopsy integrate with AI assistants or trading bots?

Accepted Answer

Yes, Optopsy is exposed as an MCP server with 5 dedicated tools. This allows for LLM-driven interaction and integration with any MCP client (like Claude), enabling advanced AI-driven strategy screening and backtesting workflows.

Optopsy

Optopsy

Key Features

Use Cases

Key Features

Use Cases