Algorithmic Trading A-Z with Python, Machine Learning & AWS
Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.
Product Brand: Udemy
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Udemy Coupon Code for Algorithmic Trading A-Z with Python, Machine Learning and AWS Course. Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.
Created by Alexander Hagmann | 44 hours on-demand video course | 45 downloadable resources
Algorithmic Trading Course Overview
Algorithmic Trading A-Z with Python, Machine Learning & AWS
Welcome to the most comprehensive Algorithmic Trading Course. It´s the first 100% Data-driven Trading Course! In this rigorous but yet practical Course, we will leave nothing to chance, hope, vagueness, or hocus-pocus! 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 don not know/follow the five fundamental rules of (Day) Trading. This Course covers them all in detail!
What you’ll learn
- Build automated Trading Bots with Python.
- Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning.
- Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with play money.
- Truly Data-driven Trading and Investing.
- Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it.
- Coding with Numpy, Pandas, Matplotlib and scikit-learn.
- Understand Day Trading A-Z: Spread, Pips, Margin, Leverage, Bid and Ask Price, Order Types, Charts & more.
- Day Trading with Brokers OANDA & FXCM.
- Stream high-frequency real-time Data.
- Understand, analyze, control and limit Trading Costs.
- Use powerful Broker APIs and connect with Python.
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Who this course is for
- (Day) Traders and Investors who want to professionalize and automate their Business.
- (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.