Udemy – Algorithmic Trading & Quantitative Analysis Using Python -free download

Build fully automated trading system and Implement quantitative trading strategies using Python

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Algorithmic Trading Quantitative Analysis Using Python Algorithmic trading video tutorial and quantitative analysis using Python from Udemy. Build a fully automated commercial robot on a low budget. Learn quantitative analysis of financial data using Python. In this course you can learn the full process of automation such as data mining, technical and fundamental analysis, signal generation, date chart prediction, API integration and more.

You learn how to test and code trading strategies using Python. The course will also provide an introduction to the Python libraries needed to perform quantitative analysis. The Unique Sales Proposal (USP) of this course will search the Trading API and familiarize students with how to fully automate their business strategies.

Feature of Algorithmic Trading Quantitative Analysis Using Python:

  • Visualize time series data
  • Working with JSON data
  • API integration made for commercial scripts
  • Combining technical indicators with Python
  • Measure the performance of your business strategies
  • Introduction to technical and fundamental analysis methods
  • Perform a detailed quantitative analysis of the underlying data
  • Value investing using quantitative methods

Course specifications

  • English language
  • Duration: 15:34:19
  • Number of courses: 90
  • Tutor: Mayank Rasu
  • File format: mp4

Courses Algorithmic Trading Quantitative Analysis Using Python

5 lectures 13:16

Getting Date
11 lectures 02:07:21

Basic Data Handling and Operations
5 lectures 01:01:20

Technical Indicators
18 lectures 03:03:52

Performance Measurement – KPIs
9 lectures 52:25

Backtest Your Strategies
9 lectures 02:03:41

Value Investing
7 lectures 01:10:16

Building Automated Trading System on a Shoestring Budget
12 lectures 02:42:00

Bonus Section: Sentiment Analysis
14 lectures 02:20:09

Course prerequisites

  • Intermediate level expertise in python
  • high school level familiarity with mathematics and statistics
  • Basic understanding of equity / forex trading

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