Description
Algorithmic Trading & Quantitative Analysis Using Python is a video tutorial on algorithmic trading and quantitative analysis using Python from Udemy. Build a fully automated trading bot with minimal budget. Learn quantitative analysis of financial data using Python. In this course, you can fully learn automation steps such as data extraction, performing technical and fundamental analysis, signal generation, forecasting based on history charts, API integration, etc.
You will learn how to test and code trading strategies using Python. This course will also provide an introduction to the Python libraries needed to perform quantitative analysis. The Unique Selling Proposition (USP) of this course will explore the Trading API and introduce students to how to fully automate their trading strategies.
Features of the Algorithmic Trading & Quantitative Analysis Using Python course:
- Time series data visualization
- Learning to work with JSON data
- Built-in API integration for commercial scripting
- Synthesis of technical indicators using Python
- Measure the performance of your trading strategies
- Familiarity with technical and fundamental analysis methods
- Perform detailed quantitative analysis of primary data
- Value investing using quantitative methods
Course details
- Publisher: Udemy
- teacher: Mayank Rasu
- English language
- Duration: 21 hours and 52 minutes
- Number of courses: 123
Course topics on 3/2024
Course prerequisites
- Intermediate level expertise in python
- High school level familiarity with mathematics and statistics
- Basic understanding of equity/forex trading
Pictures
Sample video
Installation guide
After extract, view with the required player.
English subtitle
Quality: 1080p
Changes:
The 2022/7 version has increased the number of 23 lessons and the duration of 4 hours and 4 minutes compared to 2019/10.
The version of 2023/11 compared to 2022/7 has increased the number of 10 lessons and the duration of 2 hours and 14 minutes. Also, the course quality has been increased from 720p to 1080p.
download link
File(s) password: www.downloadly.ir
Size
16.9 Gigabyte
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