TradeStation EasyLanguage for Algorithmic Trading
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TradeStation EasyLanguage for Algorithmic Trading
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Recommended experience
Recommended experience
What you'll learn
Develop a scientific mindset by using statistical observations to analyze market behavior.
Set up and utilize the TradeStation EasyLanguage environment to design and implement trading algorithms.
Integrate machine learning techniques to enhance and refine algorithmic trading strategies.
Skills you'll gain
- Futures Exchange
- Performance Analysis
- Model Evaluation
- Scripting
- Trend Analysis
- Machine Learning Algorithms
- Machine Learning
- Verification And Validation
- Artificial Intelligence
- Financial Trading
- Algorithms
- Technical Analysis
- Finance
- Market Data
- Scripting Languages
- Securities Trading
- Market Trend
- Risk Management
- Applied Machine Learning
Details to know
February 2026
11 assignments
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There are 11 modules in this course
In this course, you will learn how to leverage TradeStation EasyLanguage and machine learning to develop robust algorithmic trading strategies. As financial markets continue to evolve, algorithmic trading has become a crucial tool for both individual and institutional traders. This course will help you combine human insight with AI-powered tools to navigate Equities, Futures, and Forex markets confidently.
Through a series of real-world applications, you will explore the powerful synergy between machine learning and traditional technical trading. You will gain practical skills in developing and testing strategies, managing risk, and refining your approach to adapt to new market dynamics. The course will equip you with a scientific mindset for market analysis and decision-making. What sets this course apart is its focus on real-life institutional desk applications, offering insights that bridge theory and practice. You’ll gain a deeper understanding of how professional traders use AI and algorithmic tools to make data-driven decisions and stay ahead in the competitive markets. This course is designed for individual traders who have at least one year of discretionary trading experience but lack programming skills. Whether you're recovering from market setbacks or seeking validation through data-driven trading, this course will provide you with the tools to advance your trading approach.
In this section, we introduce the fundamentals of algorithmic trading, demonstrate installation and setup of the TradeStation platform, and highlight its essential features for individual traders' practical workflows.
What's included
2 videos3 readings1 assignment
2 videos•Total 2 minutes
- Course Overview•1 minute
- Introduction to Algorithmic Trading and the TradeStation Platform•1 minute
3 readings•Total 70 minutes
- Introduction•20 minutes
- Introducing the TradeStation Platform•20 minutes
- Chart Analysis•30 minutes
1 assignment•Total 10 minutes
- Fundamentals of Algorithmic Trading and TradeStation Platform Basics•10 minutes
In this section, we introduce EasyLanguage fundamentals, demonstrate how to write custom indicators and basic trading strategies, and explain applying key syntax and logical operators for developing automated solutions on TradeStation.
What's included
1 video5 readings1 assignment
1 video•Total 1 minute
- Getting Hands-On with EasyLanguage•1 minute
5 readings•Total 130 minutes
- Introduction•30 minutes
- EasyLanguage Punctuation•30 minutes
- Exercise NetCh with Variables•30 minutes
- Writing Strategies•20 minutes
- How to Program Take Profit and Stop Loss Levels•20 minutes
1 assignment•Total 10 minutes
- Introduction to EasyLanguage Concepts and Practices•10 minutes
In this section, we develop algorithmic trend-following strategies using EasyLanguage, explore market rationale, identify trends with indicators, and address market noise to improve trading decisions for equities and Forex.
What's included
1 video4 readings1 assignment
1 video•Total 1 minute
- Writing a Trend Strategy•1 minute
4 readings•Total 100 minutes
- Introduction•20 minutes
- Identifying a Trend Algorithmically•20 minutes
- Fast SMA Above Slow SMA•30 minutes
- Handling Market Noise•30 minutes
1 assignment•Total 10 minutes
- Writing and Evaluating Trend-Following Strategies•10 minutes
In this section, we backtest trading strategies using EasyLanguage, perform sensitivity and overfitting analysis, and compare results against buy-and-hold benchmarks to validate robustness and predictive power.
What's included
1 video2 readings1 assignment
1 video•Total 1 minute
- Strategy Backtesting and Validation•1 minute
2 readings•Total 60 minutes
- Introduction•30 minutes
- Backtesting Across Symbols•30 minutes
1 assignment•Total 10 minutes
- Key Principles of Backtesting and Model Validation•10 minutes
In this section, we explore the theory and implementation of reversal trading strategies, guiding you through designing, backtesting, and analyzing these strategies using TradeStation and Excel for multiple market assets.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- Reversal Strategies•1 minute
3 readings•Total 90 minutes
- Introduction•30 minutes
- Backtesting Long Strategies•30 minutes
- Backtesting Short Strategies•30 minutes
1 assignment•Total 10 minutes
- Key Concepts in Reversal Strategies and Market Behavior•10 minutes
In this section, we design and assemble algorithmic components for trend pullback trading, conduct sensitivity and out-of-sample analysis in Excel, and implement strategies in TradeStation for robust market application.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- Trend Pullback Strategies•1 minute
3 readings•Total 90 minutes
- Introduction•30 minutes
- Stochastic•30 minutes
- Running an RSI Multiple-Sensitivity Analysis on HD•30 minutes
1 assignment•Total 10 minutes
- Core Concepts in Trend Pullback Strategies•10 minutes
In this section, we will learn to manage trading risk by automating exit decisions and position sizing, strengthening your algorithmic strategies for more consistent results in unpredictable markets.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- Risk Management•1 minute
3 readings•Total 70 minutes
- Introduction•20 minutes
- Volatility-Based Exits•20 minutes
- Position Sizing•30 minutes
1 assignment•Total 10 minutes
- Core Concepts of Trade Risk Management•10 minutes
In this section, we expand algorithmic trading concepts to futures and forex markets, learning to design, implement, and backtest long and short strategies in TradeStation for greater market versatility.
What's included
1 video5 readings1 assignment
1 video•Total 1 minute
- Futures and Forex Algorithmic Trading•1 minute
5 readings•Total 140 minutes
- Introduction•30 minutes
- Futures Sessions•30 minutes
- Forex Algorithmic Trading•20 minutes
- Forex Trading Sessions•30 minutes
- Writing Forex Breakout Algorithms•30 minutes
1 assignment•Total 10 minutes
- Core Concepts in Futures and Forex Algorithmic Trading•10 minutes
In this section, we construct actionable trading operational plans, examine automated and semi-automated trading strategies, and emphasize validating algorithmic approaches using simulated trading environments for capital protection and effective real-world implementation.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- The Trading Operational Plan•1 minute
3 readings•Total 80 minutes
- Introduction•30 minutes
- Minimum Capital Required•20 minutes
- A Semi-Automated Trading Plan on Large Stock Lists•30 minutes
1 assignment•Total 10 minutes
- Foundations of Algorithmic Trading Operational Plans•10 minutes
In this section, we examine the integration of AI with traditional trading methods, address overfitting and real-world pitfalls, and explore hybrid models to enhance adaptability and competitive advantage in financial markets.
What's included
1 video3 readings1 assignment
1 video•Total 1 minute
- EasyLanguage in AI Bridging Traditional Trading and Advanced Analytics•1 minute
3 readings•Total 70 minutes
- Introduction•20 minutes
- Using the Volatility Predictor Model as a Filter•30 minutes
- Using the Volatility Predictor Model for Position Sizing•20 minutes
1 assignment•Total 10 minutes
- Bridging Traditional Trading with AI-driven Analytics•10 minutes
In this section, we introduce machine learning concepts for pattern recognition in trading, demonstrate implementing classification models using EasyLanguage on TradeStation, and show how to evaluate session classification with a confusion matrix.
What's included
1 video5 readings1 assignment
1 video•Total 1 minute
- EasyLanguage in AI Bridging Traditional Trading and Advanced Analytics•1 minute
5 readings•Total 120 minutes
- Introduction•20 minutes
- Recognizing an Up Session•20 minutes
- Training/Testing Data Split•20 minutes
- Model Testing and Evaluation•30 minutes
- Recognizing Down Sessions•30 minutes
1 assignment•Total 10 minutes
- Introduction to Machine Learning Concepts in EasyLanguage for Trading•10 minutes
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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