Description
Python for Finance and Algorithmic Trading with QuantConnect is a training course on building intelligent trading robots and financial market analysts with Python programming language, published by Yodmi Academy. In this course, you will use the Pandas and Matplotlib libraries to develop a fully intelligent and algorithmic trading and analytics system. Finally, you will load your trading robot on 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 transactions. This trading platform provides traders with various symbols and markets, the most important 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 the design of systems based on artificial intelligence and machine learning, and in this regard, this language has been opened to financial markets. In this training course, you will get acquainted with the principles and concepts of economics and trading with the utmost care, and then you will be able to translate these principles into code. All the topics taught in this course are fully implemented and at the end of this course you will gain very valuable knowledge in the field of financial markets, trading strategies, algorithmic trading and..
What you will learn in the Python for Finance and Algorithmic Trading course with QuantConnect:
- Familiarity with the basics of the Python programming language
- Work with NumPy library for fast numerical 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 returns and annual profits
- Calculate cumulative daily returns
- Analysis of volatility and risk potential of each market
- Work with moving average EWMA
- Introduction to Sharpe Ratio
- Optimize the portfolio and capital allocation of each symbol and market
- Introduction to efficient boundary theory
- Different types of boxes and tradable symbols
- Ordering methods and determining the profit and loss limit
- Capital Asset Pricing Model
- Familiarity with option and futures trading
- Familiarity with the Monte Carlo computational method
- Familiarity with financial market terms such as income, earnings per share and…
- Work with the Bollinger Band indicator and other available indicators and oscillators
- Familiarity with classical technical analysis
Course specifications
Publisher: YodemiInstructor: Jose Portilla
Language: English
Education Level: Basic to Advanced
Number of Courses: 133
Training Duration: 22 hours and 34 minutes
Course topics on 2021/11
Prerequisites for Python for Finance and Algorithmic Trading with QuantConnect
Basic Python ExperienceCourse pictures
Introduction to Python for Finance and Algorithmic Trading with QuantConnect
Video viewer00:00
00:00
Installation guide
After Extract, watch with your favorite Player.English subtitle
Quality: 720p
download link
Download Part 1 - 2 GBDownload Part 2 - 2 GB
Download Section 3 - 2 GB
Download section 4 - 423 MB