Alpha Algo Trader

The wheel, explained

The risks, and what we do about them

Where this strategy actually loses money, and the rules that are meant to contain it.

Written from a live book — day 54, 157 fills posted.

The wheel is not a way to avoid losses. It is a way to get paid while managing them. Here is where it genuinely goes wrong.

1. The company, not the trade

The real risk is being assigned shares in a business that keeps deteriorating. Premium income cannot rescue a company in structural decline. This is contained at selection, before any trade exists — and nowhere else.

2. Capped upside

Covered calls mean a sharp recovery gets sold away at your strike. You keep the credit and the gain to that strike, and you watch the rest go. Contained by rolling calls up when a position recovers, rather than letting them sit.

3. Adding capital into a falling position

A second put lowers the basis and increases the position at the same time. Done without limit that is how accounts break. Contained by opening at half size, so there is deliberate room to add once — not endlessly.

4. The human one

Most damage is done between the plan and the click: hesitating on a roll, hoping instead of taking assignment, doubling down out of frustration. This is the risk automation actually removes, and the reason the engine exists.

When a position moves against you, there are three choices: do nothing and hold above the market, average down with capital that earns nothing while it waits, or sell into it so the basis falls and you are paid for the wait. The third is the strategy.

This is not theory.

The algo runs this every trading day and every fill is posted publicly — wins and losses, updated hourly, on a paper account.

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