# StratCraft

> StratCraft is an open-source, local-first quantitative research operating system. Its Open Research Foundation supports local C++23 validation, backtesting, artifacts, evidence, and lineage. AI strategy generation is hosted for Basic free-forever accounts. Commercial Quant Lab is separately delivered for scaled discovery, composition, scoring, promotion, and governance. StratCraft is preparing its open-source release and was formerly known as QuantNexus.

StratCraft helps users turn trading ideas into structured research, backtesting, and evaluation workflows without requiring them to become full-time programmers first.

AI can assist with code generation, iteration, and tooling, but the user remains responsible for the strategy idea, the constraints, and the final decisions.

StratCraft is not an autonomous trading bot and not an AI that trades on your behalf.

## What StratCraft Is

- open-source, local-first quantitative research operating system
- independently useful Open Research Foundation
- separately delivered Commercial Quant Lab
- turns plain-language trading ideas into statistically validated, production-ready C++ strategies
- 60+ ready-to-use strategy templates
- 138 built-in technical indicators
- ML Combinator Alpha Factory fuses up to 2,000 signals through 12 weighting methods
- LLM-driven signal discovery pipeline with 4 rounds of validation
- models train in Python and export to ONNX; C++23 engine runs inference with zero Python
- streaming architecture: 83 million execution-bar cells at constant 6.5 GB memory
- automated signal promote, bench, and relegate lifecycle
- 156-tool MCP server with bring-your-own-key agent loop
- local C++23 validation and backtesting for example, imported, and hand-written strategies
- hosted AI generation through a Basic free-forever account
- desktop application for Windows, macOS, and Linux
- local quant workflow for research, backtesting, evaluation, and monitoring
- research agent with a full quant platform underneath, not a black-box trading agent

## What StratCraft Is Not

- not an AI trading oracle
- not a prompt-to-profit system
- not a black-box bot that should be given market access without validation

## Key Product Signals

- AI-assisted strategy authoring and iteration
- high-performance local backtesting
- research and evaluation workflows
- result inspection and monitoring
- 156-tool MCP server with bring-your-own-key agent loop
- ML Combinator Alpha Factory with 12 weighting methods
- LLM-driven signal discovery pipeline with 4 rounds of validation
- ONNX model export for zero-Python C++23 inference
- streaming architecture (83M execution-bar cells at constant 6.5 GB)
- automated signal promote, bench, and relegate lifecycle
- portfolio construction and optimization extension paths
- local-first quant infrastructure

## Main Resources

- Homepage: https://stratcraft.ai/
- Markdown for Agents Index: https://stratcraft.ai/markdown-agents/index.md
- StratCraft Overview: https://stratcraft.ai/markdown-agents/stratcraft.md
- Product Details: https://stratcraft.ai/markdown-agents/quantnexus.md
- Features: https://stratcraft.ai/markdown-agents/features.md
- Facts: https://stratcraft.ai/markdown-agents/facts.md
- StratForge: https://stratcraft.ai/markdown-agents/stratforge.md
- NexusFIX: https://stratcraft.ai/markdown-agents/nexusfix.md
- Trading Software Generations: https://stratcraft.ai/markdown-agents/trading-generations/index.md
- Pricing: https://stratcraft.ai/markdown-agents/pricing.md
- Help Center: https://stratcraft.ai/help-center/
- Agent Identity: https://stratcraft.ai/agent.json

## Related Products

- StratForge: open-source C++23 backtesting engine, https://stratcraft.ai/stratforge/
- NexusFIX: open-source C++23 FIX protocol engine, https://stratcraft.ai/nexusfix/

## Canonical Positioning

The shortest accurate description is:

StratCraft is an open-source, local-first quantitative research operating system, formerly known as QuantNexus. Its public foundation runs independently for local strategy work; hosted AI generation and Commercial Quant Lab are explicit, separately disclosed boundaries.