Learn to Build and Backtest LSTM-Based Trading Strategies Using Technical Indicators and Real Market Data
Sub Category
- Investing & Trading
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Objectives
- Understand how AI is transforming algorithmic trading
- Create predictive trading features from stock data
- Train LSTM models to predict buy, sell, or hold signals
- Handle imbalanced financial data using oversampling and focal loss
- Evaluate trading performance using accuracy, precision, recall, and confusion matrix
- Visualize predicted trading signals on real stock charts
- Backtest trading strategies using portfolio simulation
- Calculate Sharpe Ratio, Drawdown, and Returns for risk analysis
Pre Requisites
- Basic knowledge of Python programming
- Familiarity with Pandas, NumPy, and Matplotlib
- No prior trading or AI experience required — everything is explained step-by-step
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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