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Technical Analysis with Python for Algorithmic Trading - Udemy

Torrent: Technical Analysis with Python for Algorithmic Trading - Udemy
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Technical Analysis with Python for Algorithmic Trading - Udemy



https://FreeCryptoLearn.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.49 GB | Duration: 1h 31m

Use Technical Analysis and Indicators for (Day) Trading. Create, backtest and optimize TA Trading Strategies with Python

What you'll learn
Convert Technical Indictors into sound Trading Strategies with Python.
Make proper use of Technical Analysis and Technical Indicators.
Create and backtest combined Strategies with two or many Technical Indicators.
Use Technical Analysis for (Day) Trading and Algorithmic Trading.
Backtest and Forward Test Trading Strategies that are based on Technical Analysis/Indicators.
Use Pandas, Numpy and Object Oriented Programming (OOP) for Technical Analysis and Trading.
Requirements
A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.
An internet connection capable of streaming HD videos.
Description
This course clearly goes beyond rules, theories, vague forecasts, and nice-looking charts. (These are useful but traders need more than that.) This is the first 100% data-driven course on Technical Analysis. We´ll use rigorous Backtesting / Forward Testing to identify and optimize proper Trading Strategies that are based on Technical Analysis / Indicators.

This course will allow you to test and challenge your trading ideas and hypothesis. It provides Python Coding Frameworks and Templates that will enable you to code and test thousands of trading strategies within minutes. Identify the profitable strategies and scrap the unprofitable ones!

Downloads: 73
Category: Other/Tutorials
Size: 1.5 GB
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Added: 2021-12-24 10:02:45
Language: English
Peers: Seeders : 8 , Leechers : 3
Tags: Finance Udemy 
Release name: Technical Analysis with Python for Algorithmic Trading - Udemy
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