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4. What you need before touching a derivative

Derivatives 6: When it goes wrong

This closes the block of fundamentals, six of the course's nine levels, before moving on to the three advanced ones. It is the place to take stock without decoration: what you are carrying, what you are not, and what would need checking before opening the first position, if it should be opened at all.

What you are carrying so far

Note what does not appear on the list: any strategy that makes money. That is not a failing of the course. A derivative is not a source of return, it is an instrument for shifting a risk from one balance sheet to another, and being paid to accept it is a legitimate business only for someone who can survive the day the bill falls due.

The four checks to run first

Before opening a derivative, and however convincing the idea sounds, you need four answers in writing:

Why most investors do not need derivatives

It is worth saying plainly. A private investor with a diversified portfolio and a long horizon can meet their goals without touching a single derivative in their whole life, and statistically will do better that way. Derivatives add value when there is a specific risk you want to shift: a farmer locking in the price of a harvest, a company securing an exchange rate, a manager capping an exposure it cannot afford.

Outside those cases, what is usually being sought is leverage dressed up as sophistication. Level 5 already flagged it with the covered call: it looks like regular income and it is the sale of the good stretch of your own portfolio in exchange for a modest premium. It is not that it is forbidden; it is that you have to know what you are selling. If the answer to "why do I need this derivative" is "because I want to make more", the right instrument is not a derivative, it is a review of the size and composition of the portfolio.

What comes next

Up to now, volatility has been a parameter that goes into the price of an option and positions have been made of a single piece. Over the three remaining levels that stops being the case.

There is also a gap that none of the nine levels fills: knowing whether the track record of an options strategy says anything or is selection. That is the territory of math and statistics, the intermediate track where the warnings of this level stop being prose: fat tails explain why the Gaussian bell always underestimates episodes such as February 5, 2018, multiple testing puts a number on the suspicion that a twenty-four-month run proves nothing, and out-of-sample validation turns into a procedure the idea that a short record does not validate a selling strategy. The other intermediate track, Risk and portfolio management, answers the question of size, which here has been taken for granted.

Below sit the three easy code-free tracks — Market theory, Macro and Costs — and above them the three hard ones: Technical and Python, Data and production, and Expectations and edge, which contains not a single line of code and is hard because of what it demands, not because of programming. The full map, with a recommended order, is at the end of level 9.

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