Who it is for
Students who want one enrollment and a single sequence.
Path
Foundations + Options
Stock Market Foundations and Basics of Option Trading as one path: structure first, then the derivative.
Modules
- All Foundations modules
- All Options modules
Course structure
Python, machine learning and algorithmic trading sit in every program as methods. Depth follows the subject. They are not a return.
Python
Work that needs a calculation is done in Python. Load a table, state the assumption, and compute the result with NumPy and pandas. A notebook is a worksheet. It is not a signal.
Machine learning
A model is a function fit to past data. The class covers features, a split between the data you fit and the data you score, and why a fit on history is not something you can spend. It is a method, not a tip.
Algorithmic trading
A strategy is a rule a computer can follow: data, entry, size, exit, and a hard risk stop. A test includes costs. The execution lab is the Algo Trading program. Every other program uses the same standard: write the rule before any code.
You leave with
- Foundations complete before the first options payoff
- One risk vocabulary across cash and derivative