# Welcome to Crush

**Build systematic crypto strategies in plain English. No coding required.**

Crush is an AI-assisted quant trading platform. Describe what you want to test, backtest it against real market data, and deploy it live on Hyperliquid — all without writing a single line of code.

## How It Works

**1. Describe your strategy**\
Use Claude Code with MCP to describe trading ideas in plain English. Or use the visual strategy builder to combine signals from 116+ indicators.

**2. Backtest against real data**\
Run your strategy through our production-grade backtesting engine with realistic slippage and fee modeling. See Sharpe ratio, max drawdown, win rate, and more.

**3. Deploy live on Hyperliquid**\
One click from backtest to live execution on Hyperliquid, the leading onchain perpetuals exchange. No KYC. Global access.

## Who Is Crush For?

* **TradingView traders** who want a systematic edge but don't know Python
* **Retail crypto traders** who want to move beyond manual chart patterns
* **AI-native developers** who want institutional-grade crypto data and execution through Claude Code

## What Makes Crush Different

* **No coding required** — describe strategies in plain English via Claude Code, or use the visual builder
* **Crypto-native data** — 116+ indicators including proprietary crypto-specific signals (funding rates, open interest, liquidations, on-chain volume)
* **AI strategy building** — MCP integration lets Claude Code research, backtest, and deploy for you
* **Full loop** — backtest to live execution on Hyperliquid in one click
* **Production-grade engine** — high-performance time-series infrastructure with realistic slippage and fee modeling
* **MCP integration** — describe strategies to Claude Code, get results in seconds

## Get Started

Ready to build your first strategy? Head to [Create Your Account](https://crushtrading.gitbook.io/documentation/getting-started/create-account) to get started, or learn more about [why AI-assisted quant trading](https://crushtrading.gitbook.io/documentation/readme/why-ai-quant-trading) changes everything.