Learn to Build and Backtest LSTM-Based Trading Strategies Using Technical Indicators and Real Market Data
Description
Unlock the power of Artificial Intelligence in the world of trading.
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In this hands-on course, you’ll learn how to build, train, and backtest AI-driven algorithmic trading strategies using Python, machine learning, and deep learning tools. Whether you’re from finance or tech, this course will help you turn market data into actionable trading signals using LSTM models, sentiment analysis, and advanced evaluation metrics.
You’ll begin with the basics of algorithmic trading, explore the role of AI, and dive deep into tools like Random Forest, Gradient Boosting, CNNs, LSTM, Reinforcement Learning, Genetic Algorithms, and Ensemble Methods. From there, you’ll move into real-world implementation — loading historical stock data, creating predictive features, labeling outcomes, handling class imbalance with focal loss, and evaluating your trading strategy through backtesting and risk metrics like Sharpe Ratio and Drawdown.
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This course includes:
Real Apple stock data for hands-on practice
Feature engineering using technical indicators
Custom loss functions like Focal Loss
Building an LSTM model from scratch
Visualizing trading signals and performance
Backtesting with capital growth simulations
By the end, you’ll walk away with a fully functional trading strategy powered by AI — plus the knowledge to apply these techniques across any stock, ETF, or crypto asset.
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
Total Students | 3774 |
---|---|
Duration | 1.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 28 |
Number of quizzes | 0 |
Total Reviews | 35 |
Global Rating | 4.385714 |
Instructor Name | Learnsector LLP |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1.5 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Practical
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Practical
- Examples
- Framework
- Step By Step
Watch-outs
- Incomplete
Difficulty
Best suited for
New learners starting from zero
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