Frameworks over Feelings
A Stock Trade Taught Me the Value of A Data-Driven Framework
I learned a powerful lesson in discipline yesterday, but at least this time it didn’t come with an investment loss.
Earlier this week, I was practicing with the Benjamin Graham formula for stock valuations, partly due to an upcoming collaboration, when I decided to put my money to the test. I picked a few stocks that were in my price range, including Aehr Test Systems.
This time around I was more risky than I am usually comfortable with. Instead of calculating a specific percentage for stop loss (97% of the current price, for example), I picked the lowest price I could find for the last two weeks as my stop loss, way lower than I am normally comfortable with, to avoid the early morning volatility that stops me out often.
Overall, the strategy seemed to work; Aehr (after some early morning volatility) rose by 9% on the day. I was ecstatic! I’m not trying to brag here, since I’ve been in this situation before, and once again I felt the anxiety of indecision.
One thing that gamblers and stock traders, in my opinion, have in common is the anxiety of a winning position. Do you let it ride and hope the good times keep going? Or do you sell and walk away, even if the price keeps going up? I felt lost. I’ve been burned over and over, sipping on the hopium of rising stock prices, only to get stopped out the next morning. This time, I was determined to make a better choice, so I took a deep breath and did some research.
Despite “positive” reports of lower negative earnings and an overall idea that the price would keep going up, something felt wrong about holding it, so I turned to AI. I was talking about the position with Copilot when we both arrived at the same conclusion.
I bought the stock at $39.98
I set my stop loss at $34 (the lowest price in two weeks)
It was currently up 9%
Do you see the problem? I was excited about a 9% gain while sitting on a potential 15% loss. On top of that, the company’s financials were not promising. In one particular Bezinga article I found while doing my homework, it said people were buying (to paraphrase) “the narrative, not the financials.”
It suddenly became obvious to me why I was feeling so nervous about my position. I was betting that the stock would continue to rise:
With poor fundamentals
Overnight (which meant another round of volatility to avoid)
Coming up on earning season
All while sitting on potential loss that would have erased any gain. Although some might disagree, it gave me clarity, something I don’t always get with my trades.
That realization brought me back to something I’ve been trying to build into my process: a real framework, not a framework of feelings and hunches. I’ve been trying to months now to come up with a better framework from my trades than what I currently do, and although I’m not sure if this is the model to use; it’s better than nothing. Furthermore, it shows why having a data-driven framework matters.
A framework doesn’t eliminate risk, but it keeps you from reacting impulsively when numbers flash red or headlines scream “buy now.”
In this case, the data told a different story than my excitement did. The stock’s fundamentals were shaky, my stop-loss placement ignored basic risk-reward math, and my reasoning hinged more on narrative than on value. Once I saw that clearly, selling wasn’t an emotional decision anymore; it was the inevitable result of the framework I was using.
This is what a data-driven approach does: it gives you structure when the market tempts you to improvise. It shifts questions like “Will it go up?” to “Does this fit my model?” or “Am I being rewarded fairly for this risk?” You’ll still feel FOMO; we all do, but the numbers give you something objective to stand on.
I didn’t lose money on that trade, but the lesson was worth more than most wins: discipline is built by following your framework, not your fear or euphoria. Next time, I’ll let the data, not the dopamine, make the call.
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