Suitable for beginners to advanced learners in search of alpha strategies.

Includes 9-courses, 30+ strategy ideas, 70 hours of material.

Learn option pricing, greeks, gamma scalping, systematic options trading, and portfolio and risk management using Python.

Suitable for beginners to advanced learners.

Includes 7-courses, 31 strategy ideas, 72 Hours of material.

Learn python programming, backtesting, candlesticks, volatility, technical indicators and swing trading.

Perfect for traders wanting to automate, backtest & live trade their strategies

Includes 8-courses, 23+ strategy ideas, 69 hours of material.

After completion, you will be able to create new algorithmic trading strategies and advanced models, & backtest and implement them in live markets using Blueshift.

For beginners in machine learning and Python.

Includes 7-courses, 16+ strategy ideas, 54 hours of material.

Regression, Classification, Decision Trees, Neural networks in Python, application in live markets and taught in a hands-on manner.

Recommended for algorithmic & automated Traders.

Includes 5-courses, 31+ strategy ideas, 50 hours of material.

Mean reversion, short selling, multi-factor analysis, and arbitrage techniques by hedge fund experts like Dr. Ernest P Chan & Laurent Bernut.

Perfect for beginners in algorithmic trading.

Includes 7-courses, 18+ strategy ideas, 36 hours of material.

After completion, you would become a recognized Algorithmic Trader and be able to backtest trading strategies using Python.

For forex traders who wish to get an edge in the competitive markets.

Includes 8-courses, 19+ strategy ideas, 35 hours of material.

Apply time series modelling, machine learning techniques, value strategy in forex trading. Learn to automate your strategies and multiply your portfolio.

Perfect for quants who want to use alternate source of data.

Includes 5-courses, 14+ strategy ideas, 35 hours of material.

Use Options data, tweets, news headline, bot account analysis and cutting edge NLP Techniques to add alpha to your trading strategy

For equity traders who want to use Python and quantitative strategies.

Includes 7-courses, 25+ strategy ideas, 58 hours of material.

Learn the art of short selling, scalping, machine learning and ARIMA-GARCH models, Volatility trading and implement these strategies in live trading.

For quants who are new to the cryptocurrency markets.

Includes 8-courses, 18+ strategy ideas, 42 hours of material.

Learn to use quantitative techniques taught by market practitioners and the power of fast computing to identify rare trading opportunities.

For programmers, traders, quants, and researchers familiar with Python

Includes 5-courses, 30+ strategy ideas, 53 Hours of material.

From data preparation and backtesting to live trading using machine learning, apply RNN, LSTM, Cross-Validation and deep reinforcement learning.