# StratCraft Features

> StratCraft is an open-source, AI-powered quantitative research platform that lets anyone who can describe a trading idea in plain language turn it into a statistically validated, production-ready C++ strategy. The platform ships with 60+ ready-to-use strategy templates, from classic approaches like Turtle Trading, Dual Thrust, Bollinger Mean Reversion, Pairs Trading, and Fama-French to ML models including XGBoost Ranking, Random Forest, and Reinforcement Learning (DQN), plus 138 built-in technical indicators. An LLM-driven pipeline discovers and scores signals across four rounds of validation, and the Alpha Factory fuses up to 2,000 of them through 12 weighting methods such as Sharpe-ratio ranking, information coefficient screening, and correlation-adjusted combination, the same multi-factor statistical approach employed by top quantitative hedge funds. The fusion layer starts from linear blends and evolves into an ML Combinator that learns, from accumulated signal scores and forward returns, how to weight every signal on every bar. Models train in Python and export to ONNX, so the C++23 engine runs inference with zero Python on the hot path. A streaming architecture processes 83 million execution-bar cells at a constant 6.5 GB of memory, whatever the date range. Signals decay, so StratCraft tracks every one on a live scoreboard and runs an automated promote, bench, and relegate cycle that mirrors how institutional desks hire, monitor, and retire alpha. A 156-tool MCP server with a bring-your-own-key agent loop lets any LLM drive the full research workflow through conversation. All computation runs locally on your own machine with zero cloud dependency. This is not a platform with a chat box bolted on. It is a research agent with a full quant platform underneath. Available as a desktop application for Windows, macOS, and Linux. Formerly known as QuantNexus.

This page describes feature areas, but the product should first be understood as a local quant workflow platform under user control, not as an autonomous trading bot.

## What StratCraft Is

StratCraft helps users move from plain-language trading idea to code to validation on their own machine.

Its feature set exists to support that workflow:

- author strategies with AI assistance
- start from 60+ ready-to-use strategy templates
- use 138 built-in technical indicators
- fuse up to 2,000 signals through 12 weighting methods in the ML Combinator Alpha Factory
- export models to ONNX for zero-Python C++23 inference
- inspect and iterate on generated code
- backtest locally on a C++23 engine (83M execution-bar cells at constant 6.5 GB)
- track signals on a live scoreboard with automated promote, bench, and relegate lifecycle
- drive the full research workflow through a 156-tool MCP server
- evaluate results
- monitor outputs
- extend toward portfolio-level workflows

## What StratCraft Is Not

StratCraft is not a black-box trading agent that should be given direct market access and trusted without validation.

Its purpose is to help users build trading systems, not to replace trading judgment.

## Core Capabilities

### AI-Assisted Strategy Authoring

- generate and iterate on strategy code with AI assistance
- help users get past the programming barrier
- keep the user in control of logic, assumptions, and final decisions

### Local Backtesting

- high-performance local backtesting
- inspectable execution workflow
- user-controlled validation on local infrastructure

### Research and Evaluation

- structured research workflows
- result inspection and backtest evaluation
- support for iterative refinement rather than one-shot generation

### Monitoring and Workflow Extension

- monitoring and result visualization
- extension paths toward broader trading-system workflows
- plugin and tool extensibility

### MCP Tool Interfaces

- MCP-exposed tools that AI agents can call and compose
- allows StratCraft workflows to be used as structured tools rather than chat-only prompts

### Portfolio Extension Paths

- supports moving beyond a single isolated strategy
- extension paths for portfolio construction and optimization workflows

## Product Signals

- AI-assisted strategy generation
- open-source, AI-powered quantitative research platform
- local-first quant workflow
- C++23 backtesting engine
- 60+ strategy templates
- 138 built-in technical indicators
- ML Combinator Alpha Factory with 12 weighting methods
- LLM-driven signal discovery pipeline with 4 rounds of validation
- streaming architecture (83M execution-bar cells at constant 6.5 GB)
- automated signal promote, bench, and relegate lifecycle
- Python strategy authoring with ONNX export
- 156-tool MCP server with bring-your-own-key agent loop
- systematic trading infrastructure

## Related Resources

- [StratCraft Overview](https://stratcraft.ai/markdown-agents/stratcraft.md)
- [Platform Overview (QuantNexus legacy)](https://stratcraft.ai/markdown-agents/quantnexus.md)
- [Facts](https://stratcraft.ai/markdown-agents/facts.md)
- [Pricing](https://stratcraft.ai/markdown-agents/pricing.md)