def create_sequences(X, y, seq_len=10): X_seq, y_seq = [], [] for i in range(len(X)-seq_len): X_seq.append(X[i:i+seq_len]) y_seq.append(y[i+seq_len]) return np.array(X_seq), np.array(y_seq)
Before diving into AI, one must understand the rule-based strategies that have governed markets for decades. Algorithmic Trading A-Z with Python- Machine Le...
: Emphasizes removing emotional decision-making by relying purely on data-driven logic and risk-adjusted return analysis. def create_sequences(X, y, seq_len=10): X_seq, y_seq = [],
Building is not a weekend project. It requires: y_seq = []
data['rsi'] = ta.momentum.RSIIndicator(data['Close'], window=14).rsi() data['macd'] = ta.trend.MACD(data['Close']).macd() data['bb_high'] = ta.volatility.BollingerBands(data['Close']).bollinger_hband() data['bb_low'] = ta.volatility.BollingerBands(data['Close']).bollinger_lband() data['volume_ratio'] = data['Volume'] / data['Volume'].rolling(20).mean()