Predicts entry's and exits for trading bitcoin

import pandas as pd
import numpy as np
import yfinance as yf # You can use other APIs for real-time data

# Define the cryptocurrency (e.g., Bitcoin) and time frame
crypto_symbol = "BTC-USD"
start_date = "2022-01-01"
end_date = "2023-01-01"

# Fetch historical data
crypto_data = yf.download(crypto_symbol, start=start_date, end=end_date)

# Calculate moving averages
short_window = 50
long_window = 200

crypto_data['SMA50'] = crypto_data['Close'].rolling(window=short_window).mean()
crypto_data['SMA200'] = crypto_data['Close'].rolling(window=long_window).mean()

# Create signals
crypto_data['Signal'] = 0
crypto_data['Signal'][short_window:] = np.where(
crypto_data['SMA50'][short_window:] > crypto_data['SMA200'][short_window:], 1, 0
)

# Generate buy/sell signals
crypto_data['Buy_Signal'] = np.where(
crypto_data['Signal'] > crypto_data['Signal'].shift(1), 1, 0
)
crypto_data['Sell_Signal'] = np.where(
crypto_data['Signal'] < crypto_data['Signal'].shift(1), -1, 0
)

# Print the DataFrame with buy and sell signals
print(crypto_data[['Close', 'SMA50', 'SMA200', 'Signal', 'Buy_Signal', 'Sell_Signal']])