Quantitative Trading with Python

Colleagues, the Quantitative Trading with Python program will equip you in Finance - Stocks, equities, returns, Data extraction from quandl and pandas-datareader, Financial Analysis techniques using Python, Trading strategies - types, formulation and coding strategies in Python,Designing and developing the backtesting framework, How to use Quantopian/Zipline to backtest your strategies, Risk Assessment metrics and Development of your own backtesting algorithm and learn how to backtest using Quantopian. Skill-based training modules address: 1) Overview and Exploratory Data Analysis,- Stocks and TradingWe discuss the strategy and guidelines to make the most of this course. We walk through the concept of stocks and trading, 2) Performing financial analysis of stocks, 3)  Formulation and development of trading strategies - Introduction to Trading Strategies. The lecture covers the basics of trading strategies and common algorithms used to trade securities. In general, there are two common trading strategies: the momentum strategy and the reversion strategy. You'll learn about various types of algorithms you can develop in each of them, 4) Developing your own backtesting framework - Introduction to Backtesting. In this lecture, we'll cover: - The basic definition and importance of backtesting. - Pitfalls of backtesting and factors you need to take care of while designing the backtesting framework. - Essential components of backtesting, and 5) Backtesting on Quantopian and Risk Assessment-  Lecture 16Quantopian Walk-through.In this lecture, we're going to learn about the free, community-centered platform called Quantopian: - Advantages of backtesting on quantopian. - How to write and backtest an algorithm on quantopian - Learn about the backtesting results … and much more.

Register today (teams & execs welcome):  https://tinyurl.com/mf93arhj 

Much career success, Financial Certification Academy