Python algorithmic trading software for backtesting and live trading strategies on your own infrastructure
Web-based options research platform for scanning watchlists, comparing contracts and modeling strategies
Stage
Not given
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Founded
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Based in
US
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Pricing model
Not given
Paid
Pricing
Student (Free with valid .edu email), Starter ($99 one-time), Pro ($249 one-time), Quant ($499 one-time). Optional Maintenance & Community subscription: $10/mo or $100/year.
Visualizer: $10 USD/month or $100 USD/year; Pro: $30 USD/month or $300 USD/year; All Access: $50 USD/month or $500 USD/year. Seven-day All Access trial available with card required.
Key features
11 built-in technical indicators
Built-in Model Context Protocol (MCP) server for AI assistants
Live options strategy visualizer with payoff modeling across price and time
Options Yield Matrix for comparing contracts by monthly yield, breakeven and probability
Short Options Scanner for cash-secured puts and covered calls
Advanced Strategy Scanner for multi-leg option structures
Auto-calibration to update strike targets based on market levels
Trade journal with thesis, fills, adjustments, rolls and outcome tracking
AI Analyst for questioning assumptions and comparing setups
Live ThetaData market data with streaming updates
Portfolio view with profitability and campaign history
Learning Hub with lessons on strategies and risk management
What makes it different
Self-hosted infrastructure with source code included — own your software forever with a one-time purchase
Unified backtesting and live-trading engine — same code backtests and trades live
No subscription required for the core product — lifetime license after one-time payment
Your data and keys stay on your machine — no cloud lock-in or third-party data storage
Connected workflow from watchlist scanning through trade completion in one platform instead of multiple disconnected tools
Monthly Yield % metric that standardizes returns across different expiries and strikes for easier comparison
Auto-calibration to keep strike targets current with market positioning instead of manual updates
Built by a trader for traders, starting with one core problem to solve