Publishing stock market predictions from experimental constrained-weight transformer networks. Based on black box models, not financial or investment advice.Joined June 2024
Six months of AI models, and it’s clear you don’t actually need AI to see the companies that obviously make huge cash flows with massive barriers to entry in their core markets. Shhh, don’t tell anyone it’s super obvious, and you don’t need a money manager to pick your stocks.
Here is another June 19th pick. This is $AUR, which our 60-bus-day model picked at $2.34. Today it's $6.49, which is a 177% gain. If you sold at the $6.94 high, it was a 196% gain.
Let's look at some of our early picks from June. Here is $RARE, which our model picked on June 19 at $37.42 (bullish over 60 bus. days). It peaked at $60.37 on September 16, for a 61.3% return. Today it's 47.24, which is a 26% return. The trick is knowing when to sell.
$MRNA is down pre-market ~17%, but the long model signaled a buy last night, predicting up to 60% upside as of last night's closing price. This may be a nice entry point for the stock with a price discount because of what is almost certainly an inefficient price for the stock.
Earnings-date aware FS-E1 model is sending a strong buy signal for $OTLY over the next 60 business days. Again, this only signals upward price movement from this level within that period, not that the price it will be higher at the 60 business day mark. The company is…
When you see sudden drops in price, it probably correctly means that the stock needs to be revalued, but the new, lower price is almost certainly wrong. This overreaction effect isn’t nearly as pronounced when stocks suddenly rise. The asymmetry comes straight from human nature.
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