Description
Python for Finance and Algorithmic Trading with QuantConnect is a training course on building smart trading robots and financial market analysts with the Python programming language, published by Udemy Academy. In this course, you will use Python libraries based on Pandas and Matplotlib to develop a fully intelligent and algorithmic trading and analysis system. Finally, you will load your trading robot onto the powerful QuantConnect platform and start trading. QuantConnect is an open-source cloud platform that helps engineers and programmers develop their strategies in the form of automated code and bots and then execute algorithmic trades. This trading platform provides traders with various symbols and markets, the most prominent of which are the Options market, Forex, Futures, Crypto, and the US Stock Exchange.
Python is a high-level and very popular language that has been used in designing systems based on artificial intelligence and machine learning, and in this regard, this language has been opened up to financial markets. In this training, you will carefully familiarize yourself with the principles and concepts of economics and business, and then you will be able to translate these principles into code. All the topics taught in this course are fully implemented and by the end of this course, you will gain valuable knowledge in the field of financial markets, trading strategies, algorithmic trading, etc.
What You’ll Learn in Python for Finance and Algorithmic Trading with QuantConnect
- Familiarity with the basics of the Python programming language
- Work with the NumPy library for fast numeric processing
- Work with the Pandas library to quickly and efficiently analyze various data
- Work with Matplotlib library to visualize data and display raw and numerical data in the form of various charts and graphs
- Accurate analysis of stock market returns and annual earnings
- Calculate cumulative daily returns
- Analysis of the volatility and risk potential of each market
- Working with the EWMA Moving Average
- Introduction to Sharpe Ratio
- Optimize portfolio and capital allocated to each symbol and market
- Introduction to efficient frontier theory
- Different types of exchangeable boxes and symbols
- Methods of ordering and determining the profit and loss limit
- Financial asset pricing model
- Familiarity with options and futures trading
- Familiarity with the Monte Carlo calculation method
- Familiarity with financial market terms such as income, earnings per share and…
- Work with Bollinger Band indicator and other available indicators and oscillators
- Knowledge of classic technical analysis
Course specifications
Publisher: Udemy
Instructors: Jose Portilla
French language
Level: Introductory to Advanced
Number of lessons: 133
Duration: 22 hours and 34 minutes
Course topics on 2021/11
Python for Finance and Algorithmic Trading with QuantConnect Prerequisites
Basic Python experience
Pictures
Python Intro Video for Finance and Algorithmic Trading with QuantConnect
Installation guide
After ripping, watch with your favorite player.
english subtitle
Quality: 720p
Download links
File password(s): ngaur.com
Cut
6.42 GB