Most finance content shows you the trades that worked. They do not show you the messy process of filtering out the bad ones.
Manual analysis is unstable because you are not consistent. You remember the last premium that worked and start treating risk like edge. Which makes everything worse. Because a strategy that rewards sloppy thinking is just a lottery ticket with better branding.
The Wheel Strategy must be mechanical. So I built a deterministic system to remove myself from the equation.
This article breaks down the exact workflow: a structured TradingView layout to define the trend, and a Custom GPT acting as a rule-based risk filter. The logic is open. The code is below.
1. The Structure Layer: Wizolver TradingView Dashboard
The first input is a structured TradingView layout that standardizes how I look at price structure.
This script plots a specific moving average stack, a rapid RSI(2) for short-term timing, and automatically identifies support and resistance based on recent pivots. It eliminates visual guesswork. If price loses the 50 SMA, structure weakens. If it is below the 200 SMA, long-term structure is compromised.
The Pine Script Code
You can copy and paste this directly into the Pine Editor in TradingView to recreate the exact dashboard I use in the video.
TradingView Pine Script
Note: Having the code is only half the process. If you want to understand exactly how to interpret the moving average stack, the RSI(2) timing, and the automated support zones before feeding them into the AI, read The Structure Layer: Reading the Wizolver TradingView Dashboard.
2. The Logic Layer: The Custom GPT System Prompt
The second input is live options data from the broker. Both inputs feed the custom GPT.
Here is where most people fail. They ask a general AI for an opinion and get a diplomatic non-answer. A general AI tries to be helpful.
My GPT has a specifically constrained identity. It is a deterministic Wheel Strategy evaluator. It evaluates factors in a fixed, mandatory order: Price structure, Assignment quality, Risk exposure, Event risk, Momentum, and Premium. Premium is always evaluated last. Because the single most common mistake in options selling is letting premium size drive the decision. High premium is not an opportunity. It is a flag.
The System Prompt
To build this yourself, go to ChatGPT, create a new Custom GPT, and paste this exact text into the instructions box. It establishes the rules, the priorities, and the binary rejections.
GPT System Prompt
3. Execution
You still make the final call. But the call is informed by a consistent process, not by a sudden urge to collect premium on a volatile underlying.
I do not trust myself to negotiate with individual red flags. The system does not negotiate. If a rule is triggered, the verdict is fixed.
Welcome to the Wizolver.LOG. Back to execution.