I built my first crypto quant pipeline three years ago and burned a whole weekend chasing install errors before I ever saw a Sharpe number. This guide is the version I wish someone had handed me on day one — zero assumed knowledge, copy-paste-runnable code, and a working backtest before lunch. We will pull tick-level trades, L2 order-book snapshots, liquidations, and funding rates from Tardis.dev (the historical crypto market data relay that serves Binance, Bybit, OKX, and Deribit), ship them through HolySheep AI to Claude Opus 4.7, generate alpha factors, and run a vectorized backtest — all in one sitting.
What you will build
- A free account at HolySheep AI with free credits on signup, paid in CNY at a flat ¥1=$1 rate (WeChat & Alipay supported).
- A Python script that streams BTCUSDT trades and 100ms L2 order-book snapshots from Tardis.dev for the date 2025-09-10.
- A prompt to Claude Opus 4.7 that proposes four alpha factors: order-flow imbalance, microprice momentum, liquidation-cascade reversal, and funding-rate carry.
- A pandas backtester that turns those alphas into long/short signals and prints Sharpe, max drawdown, and total return.
Prerequisites
- Python 3.10 or newer installed locally.
- A Tardis.dev account — free tier covers 30 days of historical tick data, paid plans start at $50/month.
- 📸 Screenshot hint: open
https://account.tardis.dev→ API → copy your key. - A HolySheep API key — top up with WeChat or Alipay in CNY at ¥1=$1 (saves 85%+ vs the ¥7.3 rate), then grab the key from your dashboard.
Step 1 — Install packages and configure your keys
Open a terminal and run the following. The full install takes about twenty seconds on a clean machine.