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100% OFF Investing & Trading ★ 4.4 3,774 students 1.5 hours

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

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 Students3774
Duration1.5 hours
LanguageEnglish (US)
Original Price₹1,979
Sale Price 0
Number of lectures28
Number of quizzes0
Total Reviews35
Global Rating4.385714
Instructor NameLearnsector 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

Beginner

👥

Best suited for

New learners starting from zero

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