Expired Course: Deep Learning for Trading with LSTM: Smarter Than Signals

Learn to Build and Backtest LSTM-Based Trading Strategies Using Technical Indicators and Real Market Data

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Deep Learning for Trading with LSTM: Smarter Than Signals
EXPIRED

What You'll Learn

  • 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

Requirements

  • Basic knowledge of Python programming
  • Familiarity with Pandas, NumPy, and Matplotlib
  • No prior experience with deep learning or stock trading is required — LSTM and trading concepts are introduced step-by-step
  • Some exposure to machine learning will help in understanding the LSTM-based models more easily

Who This Course is For

  • Aspiring algorithmic traders looking to build AI-powered strategies
  • Data scientists and ML engineers interested in finance and trading
  • Quantitative analysts and fintech professionals exploring automation
  • Students and researchers in finance, statistics, or computer science
  • Anyone curious about LSTM, NLP, and deep learning for real-time trading

Your Instructor

Learnsector LLP

Learn to Win

4.4 Instructor Rating

21,509 Reviews

470,827 Students

34 Courses

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