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Algorithmic Trading & Quantitative Analysis Using Python - OneDDL - 12-24-2024
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Free Download Algorithmic Trading & Quantitative Analysis Using Python
Last updated: 8/2024
Created by: Mayank Rasu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 126 Lectures ( 22h 34m ) | Size: 10.6 GB
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 courseExtracting daily and intraday data for free using APIs and web-scrapingWorking with JSON dataIncorporating technical indicators using pythonPerforming thorough quantitative analysis of fundamental dataValue investing using quantitative methodsVisualization of time series dataMeasuring the performance of your trading strategiesIncorporating and backtesting your strategies using pythonAPI integration of your trading scriptFXCM and OANDA APISentiment 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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