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Data is the fuel of your algorithm. "Garbage in, garbage out" applies heavily here.
📈 I can help you write a Python script for a specific technical indicator or help you set up a machine learning model for price prediction. Which should we try first? algorithmic trading a-z with python and machine learning
Computers react to market movements in milliseconds. Data is the fuel of your algorithm
Machine Learning moves beyond fixed rules (e.g., "buy when RSI < 30") by finding complex patterns in data. 1. Supervised Learning y = X.loc[common_idx]
common_idx = X.index.intersection(y.index) X, y = X.loc[common_idx], y.loc[common_idx]
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