Build Trading Strategies with Statistical Edge
Build composable trading edges, backtest them across years of market data, and validate with statistical analysis. Let AI discover and optimize proven strategies for you.
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Your Trading Edge isn't Broken, Validating it Is
Without backtesting, traders mistake luck for edge. Data is the only proof that matters.
Manual Backtesting is Unreliable
Subjective pattern recognition leads to inconsistent results. What you see might not be what others see.
Insufficient Historical Data
Nobody manually backtests 10 years of charts. But without enough data, you can't trust that your edge is real.
Algo Trading Feels Too Complex
Coding, data pipelines, brokers, backtests... Most traders give up before they even start. It shouldn't take a Computer Science degree to automate an idea.
Premature Strategy Abandonment
Seasonal edges often disappear temporarily. Without long-term data, traders mistake natural drawdowns for failure and drop solid strategies.
False Perception of Complexity
Many traders think complexity equals profitability. But in reality, simple, consistent systems outperform "galaxy-brain" setups every time.
From Observation to Backtested Edge
Turn observations into statistically validated edges. Build composable trading strategies. Combine, filter, and manage them across any asset or timeframe.
Edge Discovery
Spot recurring patterns and get instant probabilities across assets and timeframes
Filter Refinement
Add conditions to skip low-quality setups and strengthen your edge
Risk Management
Define stops, targets, and sizing rules to protect capital
Strategy Composition
Combine any edge, filter, and management rule into a tradable model
Turning Market Behavior into Systems
Every profitable system starts from a repeatable event: an edge.
We isolate that behavior, quantify it, and let you build structure around it: filters to refine, risk to protect, and data to prove.
What begins as observation becomes an engineered, tradable framework.
Platform Features
Everything you need to validate trading strategies with data before risking real capital.
Edge Composer
Build strategies by combining edges, filters, and risk modules. Every block is reusable and validated by data.
Multi-Year Backtesting
Test your ideas against years of tick-level data in minutes. Validate patterns, measure drawdowns, and see when your edge truly works.
AI Strategy Generation
Describe your setup in plain English. The AI transforms it into a full system with entry logic, filters, and risk management.
Statistical Validation
Every strategy is backed by quantitative proof as win rate, expectancy, distribution, volatility profile. Know your edge before you risk capital.
Code & API Integration
Run and deploy strategies in Python or Elixir. Seamlessly connect to brokers or data feeds with our unified API layer.
Open Source Core
Transparent architecture. Open algorithms. A community-driven foundation built for trust, collaboration, and continuous improvement.
From Idea to Trading System
From raw market ideas to validated, ready-to-trade systems in four steps.
Define Your Edge
Spot recurring price behaviors (e.g., indicator patterns, sweeps, breaks, gaps, reversals) and turn them into modular edge blocks. Describe them to the AI or write the logic yourself. Each block gets statistically validated instantly.
Combine & Filter
Link edges across timeframes or assets. Add filters like sessions, indicators, or volatility regimes to remove low-quality setups. Every combination generates its own statistical profile.
Optimize & Validate
Backtest across years of data in minutes. Let the AI explore alternative conditions, discover seasonal variations, and surface edges you didn't know existed.
Deploy & Manage
Add position sizing, stop/target logic, and risk constraints. Once validated, deploy your strategy live or export the code for execution on your broker.
Build once. Validate everywhere. Every edge is backed by data.
Open by Design
The foundation of TheoryCraft is entirely open source. Our backtesting engine, broker connectors, data modules, and indicators are transparent, auditable, and community-driven.
We believe the future of trading infrastructure should be open, built and improved collectively. The platform adds orchestration, data, and AI layers on top of this shared foundation.
Backtest Engine
Open, modular, and verifiable simulation core
Connectors
Open integrations for brokers and exchanges
Built for Developers
Write, extend, or fork any module in Python or Elixir
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