Who it is for
Students who already know cash-equity basics and refuse the lottery story.
Intermediate
Basics of Option Trading
Options as an instrument: calls, puts, strike, premium, expiry, value, Greeks, volatility, strategies, hedging and payoff analysis.
Modules
- Calls and puts
- Strike, premium, expiry
- Intrinsic and time value
- Greeks and volatility
- Strategies and hedging
- Payoff analysis and practice
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
- Read a contract without folklore
- Draw payoff and name max loss before entry
- Use Greeks as sensitivity, not decoration