Algorithmic Trading
Solutions For Financial Exchanges

from fastapi import FastAPI
from ccxt import binance
import pandas as pd
import numpy as np

app = FastAPI()
exchange = binance()

# ML model prediction endpoint
@app.get("/predict/{symbol}")
async def predict(symbol: str):
    ohlcv = exchange.fetch_ohlcv(symbol, '1h', limit=100)
    df = pd.DataFrame(ohlcv, columns=['timestamp', 'open', ...])
    
    # Preprocess data for model
    X = preprocess_data(df)
    prediction = model.predict(X)
    
    return {
        "symbol": symbol,
        "prediction": float(prediction[0]),
        "signal": "BUY" if prediction > 0.7 else "SELL"
    }

# Trade execution endpoint
@app.post("/execute")
async def execute_trade(symbol: str, side: str, amount: float):
    try:
        order = exchange.create_order(
            symbol, 'market', side, amount
        )
        return {"status": "success", "order": order}
    except Exception as e:
        return {"status": "error", "message": str(e)}