Grid Crypto Analytics

Grid trading strategy backtester using historical Binance data.

How it works

Simulates buying crypto when the price drops by a set threshold from the peak price, and selling when it rises by the same threshold.

Buy Logic

• Tracks max_price — highest price since the last completed cycle
• Buy triggers when price drops by threshold_percent from max_price:

  level = int((max_price - price) / (max_price * threshold))
  

• Each level is bought only once
• At threshold = 5%, max 19 purchases (levels 5%–95% from peak)
• Grid resets when all positions are closed — max_price updates to current price

Sell Logic

• Each buy creates a sell order at buy_price * (1 + threshold)
• On trigger — profit is realized

Tech Stack

• Backend: Python, FastAPI, aiohttp (async Binance API requests)
• Frontend: React, Vite, Recharts

Running

Backend

cd backend
source venv/bin/activate
python run.py

Server at http://localhost:8000, Swagger at http://localhost:8000/docs

Frontend

cd frontend
npm run dev

At http://localhost:3000

Parameters

Parameter	Description	Default
Initial Balance	Starting capital in USDT	10000
Trade Amount	Amount per trade	1000
Price Change Threshold	Price change trigger	5%
Commission Rate	Exchange fee	0.1%
Trading Pair	Trading pair	ETHUSDT
Time Interval	Candle timeframe	1h