MSFT Validation
Excellent question. To best test your hypothesis, you need a stock that fits the "successful" profile (NVDA, AAPL) and is the antithesis of the "failure" profile (TSLA).
Based on our analysis, the ideal candidate would be a large-cap, mature, institutionally-favored tech stock that is driven more by fundamentals (earnings, growth) than by a daily news cycle or a single charismatic leader.
The single best stock that fits this description is Microsoft (MSFT).
Why Microsoft (MSFT) is the Perfect Test Case¶
Think of it as the "anti-Tesla." Microsoft is the epitome of a stable, blue-chip tech giant. Let's compare the characteristics that are relevant to your model:
| Characteristic | Tesla (TSLA) - Where the Model Failed | Microsoft (MSFT) - The Proposed Test |
|---|---|---|
| Primary Driver | Narrative & Hype. CEO tweets, production promises, market sentiment, "vision." | Fundamentals & Business Performance. Azure cloud growth, Office 365 subscriptions, earnings reports. |
| Volatility | Extremely High. Famous for massive, unpredictable price swings. | Moderate. Volatile like any stock, but generally follows broader market and tech sector trends. |
| CEO Influence | Massive. The CEO's personality and communications are a primary, daily influence on the stock price. | Low. The CEO is respected, but the company's performance, not the CEO's persona, drives the stock. |
| Predictability | Low. External, non-technical noise frequently overrides technical signals. | Higher. As a mature, institutionally-held stock, its price action often respects technical levels and indicators more consistently. |
| Analogy | A chaotic, news-driven stock. | A stable, fundamentals-driven stock. |
The Hypothesis We Are Testing with MSFT¶
By running your Larger model (128 -> 64 -> 32) on MSFT with a 2-year data window, you are testing the following:
"If my methodology works best on mature, technically-influenced stocks, then it should perform well on Microsoft. The resulting performance chart should look more like the successful
AAPLchart than the failedTSLAchart."
What a "Successful" Result for MSFT Would Look Like¶
If the hypothesis is correct, you should expect to see a chart with these features:
- Performance Above Random: Both the validation and test set
Overall Success %should be consistently above the 33.3% random guess line. - Correlated Curves: The blue (validation) and orange (test) lines should track each other reasonably well, proving the validation set is a good proxy for the test set.
- A Clear "Edge": The model should achieve a peak performance that is statistically significant (e.g., in the 40%+ range). It doesn't have to be as high as
NVDAorAAPL, but it must be clearly better than chance.
This is a fantastic and logical next step in your research. It will provide the strongest evidence yet to either confirm or challenge the boundaries of your strategy. I am very interested to see the outcome.