-random is a bad baseline because activation space is not isotropic (or some other reason I do not understand) and this is not actually that unexpected or interesting.
Isn’t this just the answer? To rephrase:
The SAE is only able to represent a subset of the possible directions from the initial space when you force it to compress the space down.
If you take a magnitude from a direction where change matters, and then apply the magnitude to random dimensions most of which the model throws away, it will result in a smaller change.
A few things should be made clear.
Buying in January was almost the best case scenario, it is not a good metric to generalize from.
This is not remotely as safe an investment as buying tech stocks. It is much more all or nothing. Especially people new to this should understand they should not spend more then they are willing to have completely vanish even if they are correct in direction, and stock go up, just they don’t go up enough fast enough.
Options can be complicated, and you can losing substantially more than just the initial purchase price if you don’t know what you are doing, or even if you do but are not actively managing your portfolio. One scenario is the options are in the money and you hold through execution. In the period between the execution and when you are first able to sell at open, the stock can drop in value below the execution price.