
Traditional platforms were built for manual coding. StratCraft is built for AI-orchestrated strategy discovery at institutional scale.
| Feature | Cloud Platforms | Python Libraries | StratCraft |
|---|---|---|---|
| AI Strategy Generation | None | Manual coding only | 7+ LLM providers integrated |
| Backtest Speed | Queue-based (Slow) | Baseline (Standard) | 500-1000x faster (C++23) |
| Data Sovereignty | Cloud-dependent | Local | 100% Local (Private) |
| Signal Scale | Limited by cost/compute | Manual maintenance | 1,000+ signals (Factory model) |
| Real-time Streaming | Post-process only | Complex to implement | Native live visualization |
On traditional frameworks, writing a multi-asset strategy takes weeks. In StratCraft, you describe it in natural language and have it running in minutes.
Our C++23 core handles tick-data at speeds Python cannot reach, making it possible to backtest thousands of variants in the time it takes others to test one.
Your IP stays on your machine. We export standard Python code that runs anywhere. You own your edge, permanently.
Yes. StratCraft provides the institutional-grade infrastructure of QuantConnect but runs locally, eliminating cloud dependency and adding AI-assisted generation.
No. StratCraft uses C++ for performance under the hood. You interact with it using AI, natural language, or standard Python.
Significantly. Benchmarks show a 500-1000x performance advantage due to our compiled C++23 execution engine.