Build your own truly Data-driven Day Trading Bot | Learn how to create, test, implement & automate unique Strategies.
InstructorAlexander Hagmann
Editorial course preview
This view highlights a concrete, legible example from the course presentation.
This course overview diagram outlines the curriculum progression from prerequisites like Python and day trading to defining strategies with machine learning, testing via backtesting, and final implementation.
The curriculum covers connecting to, streaming data from, and automating trades via OANDA, Interactive Brokers (IBKR), and FXCM APIs.
Instruction includes using AWS for cloud deployment, scheduling trading sessions, and achieving full automation of strategies.
Learner signals suggest significant time is spent on basic Python, while actual trading strategies lack sufficient theoretical explanation. Note that these signals originated from reviews dated before the most recent update; the presence of an update label does not prove a correction to this imbalance.
Some learners reported difficulties with the instructor's accent at higher speeds and technical roadblocks when using Jupyter Notebooks.
The curriculum aligns with the target of automating trades, but signals suggest it may be difficult for those without any prior trading or coding experience.