Udemy - Algorithmic Trading A-Z with Python, Machine Learning & AWS by Tyler Aaron

[OneDDL]

[img]https://i115.fastpic.org/big/2021/0922/d0/71f16e20be528f6e5706168fd0d4e8d0.jpeg[/img]
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 12 lectures (1h 23m) | Size: 1.32 GB
Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.

[b]What you'll learn:[/b]
Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with paper money.
Truly Data-driven Trading and Investing.
Coding with Numpy, Pandas, MatDescriptionlib, scikit-learn, Keras and Tensorflow.
Day Trading with Brokers OANDA & FXCM.
Understand, analyze, control and limit Trading Costs.
Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning / Deep Learning.
Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it.
Stream high-frequency real-time Data.
Use powerful Broker APIs and connect with Python.
[b]Requirements[/b]
An internet connection capable of streaming HD videos.
You should have worked with Python before (recommended but not required). This course provides a Python Crash Course.
Some high school level math skills would be great (not mandatory, but it helps)
[b]Description[/b]
Did you know that 75% of retail Traders lose money with Day Trading? (some sources say >95%)
For me as a Data Scientist and experienced Finance Professional this is not a surprise. Day Traders typically do not know/follow the five fundamental rules of (Day) Trading. This Course covers them all in detail!
1. Know and understand the Day Trading Business
Don´t start Trading if you are not familiar with terms like Bid-Ask Spread, Pips, Leverage, Margin Requirement, Half-Spread Costs, etc.
Part 1 of this course is all about Day Trading A-Z with the Brokers Oanda and FXCM. It deeply explains the mechanics, terms, and rules of Day Trading (covering Forex, Stocks, Indices, Commodities, Baskets, and more).
2. Use powerful and unique Trading Strategies
You need to have a Trading Strategy. Intuition or gut feeling is not a successful strategy in the long run (at least in 99.9% of all cases). Relying on simple Technical Rules doesn´t work either because everyone uses them.
You will learn how to develop more complex and unique Trading Strategies with Python. We will combine simple and also more complex Technical Indicators and we will also create Machine Learning- and Deep Learning- powered Strategies. The course covers all required coding skills (Python, Numpy, Pandas, MatDescriptionlib, scikit-learn, Keras, Tensorflow) from scratch in a very practical manner.
3. Test your Strategies before you invest real money (Backtesting / Forward Testing)
Is your Trading Strategy profitable? You should rigorously test your strategy before 'going live'.
This course is the most comprehensive and most rigorous Backtesting / Forward Testing course that you can find.
You will learn how to apply Vectorized Backtesting techniques, Iterative Backtesting techniques (event-driven), live Testing with play money, and more. And I will explain the difference between Backtesting and Forward Testing and show you what to use when. The backtesting techniques and frameworks covered in the course can be applied to long-term investment strategies as well!
[b]Who this course is for[/b]
(Day) Traders and Investors tired of relying on simple strategies, chance and hope.
Finance & Investment Professionals who want to step into Data-driven and AI-driven Finance.
Data Scientists and Machine Learning Professionals.
Homepage

[code]https://www.udemy.com/course/algorithmic-trading-a-z-with-python-machine-learning-aws/[/code]

[code]
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