Algorithmic Trading & Quantitative Analysis Using Python (Update)
Bestseller | h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels | 17h 46mn | 12.26 GB
Created by: Mayank Rasu
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Build fully automated trading system and Implement quantitative trading strategies using Python What you'll learn
Algorithmic trading and quantitative analysis using python
Carrying out both technical analysis and fundamental analysis programatically
API trading
Requirements
Intermediate level expertise in python
high school level familiarity with mathematics and statistics
Basic understanding of equity/forex trading
Description
Build a fully automated trading bot on a shoestring budget. Learn quantitative analysis of financial data using python. Automate steps like extracting data, performing technical and fundamental analysis, generating signals, backtesting, API integration etc. You will learn how to code and back test trading strategies using python. The course will also give an introduction to relevant python libraries required to perform quantitative analysis. The USP of this course is delving into API trading and familiarizing students with how to fully automate their trading strategies.
You can expect to gain the following skills from this course
Extracting daily and intraday data for free using APIs and web-scraping
Working with JSON data
Incorporating technical indicators using python
Performing thorough quantitative analysis of fundamental data
Value investing using quantitative methods
Visualization of time series data
Measuring the performance of your trading strategies
Incorporating and backtesting your strategies using python
API integration of your trading script
FXCM and OANDA API
Sentiment Analysis
Who this course is for:
traders looking to automate strategies and building automated trading stations, data scientists seeking to work with financial data, anyone curious about quantitative analysis
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