7-course bundle in

Algorithmic Trading Strategies
In Python

Learn to use 15+ trading strategies including Statistical Arbitrage, Machine Learning, Quantitative techniques, Forex valuation methods & Options pricing models and more. This bundle of courses is perfect for traders and quants who want to learn and use Python in trading.

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videos

Learn & download 15+
trading strategy

3 mean reversion strategies

Hands-on
& self-paced learning!

code and backtest

Backtest
using real markets
data

What Will You Learn?

Course 1: Python for Trading!

Perfect course for beginners in programming. Learn important concepts from scratch and code using interactive help-based exercises. Develop three trading strategies using technical indicators and popular libraries. Understand the dynamics that affect backtesting results and how to optimize your strategies accordingly.

(Level: Beginners, Duration: 6 hours)


Course 2: Quantitative Trading Strategies and Models

Learn to use mathematics, statistics and econometric models in your trading. This is an application based course created by traders who have been using quantitative trading techniques and find profitable strategies using them. Understand market data and its nuances to be able to apply these techniques.

(Level: Beginners, Duration: 4 hours)


Course 3: Statistical Arbitrage Trading

Statistical arbitrage is one of the most popular trading strategies which is often used by algorithmic traders. Learn how to create this strategy in both Excel and Python. Start from finding pairs to generating trading signals in a practical fashion. A special section covers risks involved and methods to minimize losses!

(Level: Intermediate, Duration: 3 hours)


Course 4: Trading with Machine Learning: Regression

An important technique, not to be missed, by alpha seekers. Start by learning basic concepts in machine learning. Work with markets data and process it for the learning model. Understand important concepts such as variance and bias of the model to be able to optimize it well without overfitting. Learn to predict market direction using an algorithm which you will code!

(Level: Intermediate, Duration: 5 hours)


Course 5: Trading with Machine Learning: Classification

Generate trading signals which rely on predictions by a machine learning model. Learn all about classification techniques which can help in predicting up/down/neutral market trends. Build supervised classifiers such as logistic regression classifier and support vector classifier in Python and incorporate them in trading strategies. Learn from traders and machine learning experts to get the best of both the worlds.

(Level: Intermediate, Duration: 4 hours)


Course 6: Options Trading Strategies In Python

Options are a popular asset for algorithmic trading. Learn how you can use quantitative techniques to predict option prices. Intuitively understand the various option greeks with respect to the underlying price, the time to expiry and the volatility. Learn to create various trading strategies such as Arbitrage Strategy, Box Strategy and Calendar Spread. Many other strategies based on implied volatility with concepts of Forward Volatility, Volatility Smile and Volatility Skew are also covered.

(Level: Intermediate, Duration: 5 hours)


Course 7: Value Strategy in Forex

Forex market has the maximum traded volume with many retail automated traders worldwide. Learn a unique strategy idea using forex valuation techniques. Understand forex valuation methods such as Purchasing Power Parity (PPP), Nominal Effective Exchange Rate (NEER), and Real Effective Exchange Rate (REER). Create and backtest a forex value strategy based on REER in Python.

(Level: Beginners, Duration: 2 hours)

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Programme Content

A Whole New Learning Experience With Quantra®
Customized Video Experience
Customized Video Experience
Jupyter Notebook Documents
Jupyter Notebook Documents
Machine Driven Interactive Exercises
Machine Driven Interactive Exercises

Testimonials

Mario Pisa

Mario Pisa

System Analyst, Spain

"Very useful and easy to follow, not only learn to code but also it’s a clear explanation about the maths under the hood for better understanding"

Soutrik Roy Chowdhury

Soutrik Roy Chowdhury

Grad student of Mathematics at University of Sherbrooke, Canada

"An excellent introduction of machine learning in trading! If one is new to the field of trading and would like to check how beautifully analytical settings like ML works, please consider spending some time on this lovely interactive course!"

Marcus Partner, LRC Capital USA.

Marcus

Partner, LRC Capital USA.

"Excellent course. The material is well structured. Provides a comprehensive overview of using Python for trading, commonly used libraries, interactive coding exercises to further understanding, and coding strategy examples. Highly recommended for anyone looking to build trading strategies in Python."

Mr. Rajeev Kumar Sahu

Rajeev Kumar Sahu

"Wonderfully explained the delta neutral and gamma scalping strategy. Also, got some idea about trading strategies using technical indicators."

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Programme Content