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Create Your Own Automated Stock Trading Robot In EXCEL!

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Last updated on November 6, 2026 2:24 am

Algorithmic Trading A-Z with Python, Machine Learning & AWS

★★★★★
$3,959.00
$569.00
 in stock
as of November 6, 2026 2:24 am

Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.

Created by: Alexander Hagmann
Data Scientist | Finance Professional | Entrepreneur
Rating:4.47 (3533reviews)     40976students enrolled

What Will I Learn?

  • Build automated Trading Bots with Python and Amazon Web Services (AWS)
  • Create powerful and unique Trading Strategies based on Technical Indicators and Machine Learning / Deep Learning.
  • Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing with paper money.
  • Fully automate and schedule your Trades on a virtual Server in the AWS Cloud.
  • 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, scikit-learn, Keras and Tensorflow.
  • Understand Day Trading A-Z: Spread, Pips, Margin, Leverage, Bid and Ask Price, Order Types, Charts & more.
  • Day Trading with Brokers OANDA, Interactive Brokers (IBKR) and FXCM.
  • Stream high-frequency real-time Data.
  • Understand, analyze, control and limit Trading Costs.
  • Use powerful Broker APIs and connect with Python.

Requirements

  • No prior Python knowledge required. This course provides a Python Crash Course.
  • No prior Finance/Trading knowledge required. This course explains the Basics.
  • 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.
  • Some high school level math skills would be great (not mandatory, but it helps)

Target audience

  • (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.

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