Salepage link: At HERE. Archive: http://archive.is/EvAQl
A complete end-to-end learning programme that starts by teaching basics in Python and ends in implementation of new algorithmic trading techniques in live markets. Highly recommended if you wish to multiply your portfolio and include historical data back-testing & discipline in your trades.
Mini Learning Track
These courses are often bought together for better understanding of connected concepts.
Specialization Bundle
This set of courses have shown to be most effective in learning and implementation of techniques in trading.
It is expected that you have some trading experience and understand basic financial markets terminology like sell, buy, margin, entry, exit positions. You can complete the learning track without any Python knowledge and replicate the models in spreadsheets or any other trading software language you are comfortable with.
Automate your trading. Backtest your trading strategies ideas on historical data. Connect with broker by understanding the API structure. Learn to manage your portfolio and place orders.
Multiply your portfolio. Master different quantitative techniques used across different asset classes and options: Statistical Arbitrage, Options Pricing models, Time Series Modelling. Work with actual markets data to create prediction models using machine learning algorithms. Create 20+ new trading strategies.
Start your algorithmic trading desk/business. In a short time of around 40 hours, gain hands-on experience in using technology and mathematics in trading. Get trained by Quants, HFT traders and market practitioners and learn from their experience.
Course 1: Getting Started with Algorithmic Trading!
Course 2: Python For Trading!
Course 3: Trading using Options Sentiment Indicators
Course 4: Quantitative Trading Strategies and Models
Course 5: Trading with Machine Learning: Classification and SVM
Course 6: Automated Trading with IBridgePy using Interactive Brokers Platform
Course 7: Mean Reversion Strategies In Python