Python algorithmic trading software for backtesting and live trading strategies on your own infrastructure
Quantitative research platform for building and testing systematic trading strategies with point-in-time backtests and walk-forward validation
Stage
Not given
Startup
Founded
Not given
2025
Based in
US
DE
Pricing model
Not given
Freemium
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.
Starter €7.99/month, Practitioner €19.50/month (regularly €39), Research €34.50/month (regularly €69). All prices include VAT. Every new account gets 30 days of Practitioner free with no card required.
Key features
11 built-in technical indicators
Built-in Model Context Protocol (MCP) server for AI assistants
Visual strategy builder with circuit diagram interface
Point-in-time backtesting over 20 years of history
Walk-forward validation and robustness testing
Indicator strategies with mean reversion and momentum
Stochastic methods including Kalman filter and Ornstein-Uhlenbeck models
Factor model and portfolio construction tools
Paper trading with daily marked prices
Python code export for backtests and strategies
Regime analysis and market regime detection
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
Point-in-time data discipline prevents look-ahead bias and ensures strategies see only information available on each date
113 published research articles and studies with reproducible methodology and full audit trail
Circuit diagram interface makes strategy design accessible without requiring extensive coding
Full Python export enables strategies to be deployed outside the platform
AlgoDeploy
QuanterLab