Learn algorithmic trading in one day (Covid19 updated)

[Srbija]

 

Learn algorithmic trading in one day (Covid19 updated)
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 4.60 GB | Duration: 12 section | 54 lectures | (9h 14m)



What you'll learn
Algorithmic Trading
Trading
Python
Finance
Quantitative finance
Financial Trading
Volatility analysis
Quant Trading
Ichimoku kinko hyo
Bollinger bands

Requirements
Keen to learn
Mathematical foundation is a plus
Statistical/quantitative background is a plus
Basic knowledge about normal/gaussian distribution is a plus

Description
The purpose of this class is to teach you how to build, automate, and deploy your algorithmic trading strategy using Python.

If you have felt under pressure while trading, feeling lost, with no real idea on how the market works, it's totally normal.

Me, I have spent years just trading randomly. After years of study and patience, I finally learned an efficient methodology that I am sharing with you today.


Who this course is for:
Beginner Python developers curious about algorithmic trading.
Beginner Python developers curious about data science.
Finance student
Quants


Homepage

 

https://anonymz.com/?https://www.udemy.com/course/learn-algorithmic-trading-in-one-day/

 

 

 

 

 

 

 

 

 

 

https://rapidgator.net/file/f9876525b387de803c3e9a1fc85272c4/Learn_algorithmic_trading_in_one_day_(Covid19_updated).part1.rar.html
https://rapidgator.net/file/c8f8551c0eb75ed610cfaaa8220c6f3d/Learn_algorithmic_trading_in_one_day_(Covid19_updated).part2.rar.html
https://rapidgator.net/file/5609f9eca21838a517adc327241a4c8a/Learn_algorithmic_trading_in_one_day_(Covid19_updated).part3.rar.html
https://rapidgator.net/file/a3f07751638665c05dbc376f44674ec0/Learn_algorithmic_trading_in_one_day_(Covid19_updated).part4.rar.html
https://rapidgator.net/file/078ca8e393c24aae8bf37c8f67e2c065/Learn_algorithmic_trading_in_one_day_(Covid19_updated).part5.rar.html

 

 

Edited August 16, 2021 by Bad Karma
Dead links removed