garthg26
@t_garthg26
What symbols does the trader recommend buying?
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garthg26
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']])
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