Trade function

[kalihatreese]

import requests

class EinsteinTrade:
def init(self):
self.api_key = "4CSSOMSB83RFQAHB" # Replace with your Alpha Vantage API key

def predict(self, symbol):
    url = f"https://www.alphavantage.co/query?function=TIME_SERIES_INTRADAY&symbol={symbol}&interval=1min&apikey={self.api_key}"
    try:
        response = requests.get(url)
        data = response.json()
        # Extract relevant data for prediction
        last_refreshed_time = data["Meta Data"]["3. Last Refreshed"]
        last_close_price = float(data["Time Series (1min)"][last_refreshed_time]["4. close"])
        prediction = last_close_price * 1.01  # Simple prediction: Increase by 1%
        print(f"Prediction for {symbol} for the next 4 hours: ${prediction:.2f}")
    except Exception as e:
        print(f"Error fetching data for {symbol}: {e}")

Example usage:

trader = EinsteinTrade()
symbols = ["AAPL", "EURUSD", "BTCUSD"] # Add more symbols as needed
for symbol in symbols:
trader.predict(symbol)