algorithmic trading / automated trading
What is Algorithmic Trading? A Beginner's Guide to Automated Strategies
Course walkthrough
Algorithmic Trading Fundamentals
All lessons in this series
- 1What is Algorithmic Trading? A Beginner's Guide to Automated Strategies
- 2What is a Trading Indicator? The Building Blocks of Algorithmic Trading
- 3Technical Analysis Indicators Explained: Mean Reversion vs Momentum
- 4What Are Fundamental Indicators? Understanding a Company's Financial Health
- 5Alternative Data Sources for Trading: Satellite Imagery, Sentiment Analysis & More
- 6From Indicators to Conditions: Building Your Trading Rules
- 7What is a Trading Condition? Turning Indicators into True/False Logic
- 8What Are Trading Actions? The Final Building Block of Algo Trading
- 9What is a Trading Strategy? Indicators + Conditions + Actions
- 10How to Know if Your Trading Strategy is Actually Good?
- 11What is Backtesting? How to Test Your Trading Strategy
- 12What is Trading Strategy Optimization? (And How to Avoid Overfitting)
- 13Recap: From Building Blocks to Deployment
- 14How to Deploy a Trading Strategy: Paper Trading to Live Trading
- 15How to Backtest a Trading Strategy on NexusTrade (Beginner Guide)
Algorithmic trading is how Wall Street actually executes trades. They're not staring at charts or drawing lines - they're building automated strategies that react to market conditions. In this course, I'll teach you how to do the same. You'll learn: → What a trading strategy actually is → The building blocks: indicators, conditions, and actions → How to backtest and evaluate your strategies → Optimization techniques → How to deploy with confidence This isn't a get-rich-quick scheme. It's a practical framework for building your first automated trading strategy.
Watch lessons, complete hands-on activities, pass quizzes—and by the end, you'll have a real strategy deployed to the market.
Transcript
0:00Algorithmic trading is too hard. It's time to fix that. Algorithmic trading is how the people who work on Wall Street execute their trades today. They're not staring at charts all day.
0:12They're not drawing squiggly lines and making decisions with their own eyes. They are creating autonomous trading strategies.
0:21Over the past five years, I've been working on a way so you and every other retail investor can also create their trading strategies just like the folks on Wall Street.
0:35I built NexusTrade, an AI platform for performing financial research and deploying trading strategies, and the results speak for themselves.
0:46There is just one problem: the average retail investor doesn't know what algorithmic trading is.
0:55In this comprehensive course, I'm gonna be teaching you how to create your own algorithmic trading strategy.
1:02We're starting from ground zero with what actually is a trading strategy and what are the components of a trading strategy.
1:12How do you test a strategy, and how do you know whether a trading strategy is good versus how do you know if a trading strategy is bad?
1:23We're gonna be talking about more advanced topics like optimization and how do you test your strategy to see if it performs well outside of its training data.
1:36We'll finally end this module with deployment. How do you test your strategy in the real world in real time without risking your actual money, and how do you gain confidence in your strategy?
1:50So when you click the button and deploy it to the market, you'll have confidence that your strategy will do exactly what you think it does.
2:01This is not a get rich quick course. I'm not gonna be showing you a button you can click to make money while you sleep.
2:12I'm gonna equip you with the tools so you know how to create your own trading strategy that reacts to market conditions.
2:23If you're someone that's willing to sit down and do a little bit of work, then buckle up and join me on this ride because I'm gonna be teaching you how to become a profitable algorithmic trader.
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