StratCraft vs Alternatives
Traditional platforms were built for manual coding, hosted research, or chart scripting. StratCraft is built for AI-assisted strategy authoring and local validation under user control.
Feature-by-Feature Comparison
| Feature | Cloud Platforms | Python Libraries | StratCraft |
|---|---|---|---|
| AI Strategy Generation | None | Manual coding only | 7+ LLM providers integrated |
| Backtest Speed | Hosted infrastructure | Baseline (Standard) | Local C++23 engine |
| Data Sovereignty | Cloud-dependent | Local | 100% Local (Private) |
| Signal Scale | Limited by cost/compute | Manual maintenance | Multi-strategy research workflow |
| Real-time Streaming | Post-process only | Complex to implement | Native live visualization |
Why Traders Switch to StratCraft
From Blank File to Inspectable Draft
On traditional frameworks, users start by wiring data, indicators, and boilerplate by hand. In StratCraft, AI assists with the first draft while users still inspect assumptions, code, and validation output.
Local Validation Loop
The C++23 engine runs in the local workflow, so users can iterate without sending strategy code or market data through an opaque hosted backtest surface.
Zero Vendor Lock-in
Your IP stays on your machine. We export standard Python code that runs anywhere. You own your edge, permanently.
Frequently Asked Questions
Can StratCraft replace QuantConnect?
Not universally. StratCraft is best for local-first, AI-assisted research and validation workflows. QuantConnect remains useful for hosted datasets, Lean-based development, and cloud research pipelines.
Do I need to know C++ to use StratCraft?
No. StratCraft uses C++ for performance under the hood. You interact with it using AI, natural language, or standard Python.
Is it faster than Backtrader?
StratCraft uses a compiled C++23 execution engine for local backtesting, while Backtrader is a Python framework. Avoid treating exact speedup numbers as product facts until a dated StratForge benchmark release is published.