Who it is for
Candidates sitting NISM papers and staff who need the language of regulated markets.
Certification
NISM Certifications
Preparation-oriented learning for relevant NISM certifications, with concepts required for the exam and practical market knowledge.
Modules
- Regulatory frame
- Workbook walkthrough
- Practice questions
- Market context around the paper
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
- Exam-map of the chosen series cluster
- Vocabulary that matches the workbook, not social media
- What the certificate is — and is not