explanation
Python for Finance and Algorithmic Trading with QuantConnect A course on building intelligent trading robots and financial market analysts using the Python programming language published by Udemy Academy. In this course, you will use Pandas and Matplotlib-based Python libraries to develop a fully intelligent algorithmic trading and analysis system. Finally, 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 strategies in the form of automated code and bots and then execute algorithmic transactions. This trading platform offers traders a variety of symbols and markets, the most important of which are the options market, forex, futures, cryptocurrencies and the US stock exchange.
Python is a sophisticated and very popular language that has been used to design systems based on artificial intelligence and machine learning, which opens it up to the financial markets. In this course, you will carefully learn the principles and concepts of economics and trading and be able to convert these principles into code. All topics taught in this course are fully implemented and upon completion of this course you will gain valuable knowledge in areas such as financial markets, trading strategies, algorithmic trading, and more.
What to Learn in Python for Financial and Algorithmic Trading with QuantConnect
- Knowledge of the basics of the Python programming language
- Use the NumPy library for fast numerical processing
- Analyze a variety of data quickly and efficiently using the Pandas library
- Use the Matplotlib library to visualize data and display raw and numerical data in the form of various charts and graphs.
- Accurate stock returns and annual profit analysis
- Cumulative Daily Return Calculation
- Analysis of volatility and risk potential by market
- Working with Moving Average EWMA
- Introduction to Sharpe ratio
- Optimize your portfolio and capital allocated to each symbol and market.
- Introduction to efficient boundary theory
- Various types of boxes and tradable symbols
- Determination of ordering method and profit/loss limit
- Capital Asset Pricing Model
- Knowledge of options and futures trading
- Knowledge of Monte Carlo calculation methods
- Knowledge of financial market terms such as income and earnings per share is required.
- Working with Bollinger Band indicator and other available indicators and oscillators
- Knowledge of classical technical analysis
Course specifications
publisher: Udemy
Instructor: Jose Portilla
Language:English
Level: Beginner~Advanced
Number of classes: 135
Duration: 22 hours 50 minutes
course topic
Python for Finance and Algorithmic Trading with QuantConnect Prerequisites
Basic Python experience
movie
Introduction to Python for Finance and Algorithmic Trading Video with QuantConnect
installation manual
After extracting, watch with your favorite players.
Subtitles: English
Quality: 720p
Changes:
The 2022/5 version has been increased to 2 lessons and 16 minutes in length compared to the 2021/9 version.
download link
File password: free download software
size
6.11GB