from sklearn.preprocessing import MinMaxScaler from tensorflow.keras.models import Sequential from tensorflow.keras.layers import LSTM, Dense
# Example: RSI Calculation def compute_rsi(data, window=14): delta = data['Close'].diff() gain = (delta.where(delta > 0, 0)).rolling(window=window).mean() loss = (-delta.where(delta < 0, 0)).rolling(window=window).mean() rs = gain / loss return 100 - (100 / (1 + rs)) Algorithmic Trading A-Z with Python- Machine Le...
API_KEY = "your_key" SECRET_KEY = "your_secret" from sklearn