Our intelligence algorithm takes the aggregate scores we apply to every stock and then provides backtesting data based on the granularity of the score. For example, the tech sector closed at 2.51 today. A search with a granularity of 0.05 over a 1yr time period produces these results.
What the fuck does this mean?
It means the market, specifically tech, went the fuck lower the past year at or around this technical score. It doesn’t mean we’re doomed. It only tells you what happened before. If there is a trend to be had in this data — it is up to your interpretation.
Our oversold signal in the tech space and what the market has done since it last flashed.
Our top rated themes.
Our top rated stocks over past week.
Out top rated stocks today.
YTD, the NASDAQ has not gone up on a Thursday, 0 for 5.
The best time to own QQQ since mid-January.
Returns data on tech leader and Dow component CRM.
Nov ’21: -4.9%
Dec ’21: -10.8%
Jan ’22: -8.5%
Feb ’22: -6.5%
Granularity is the gayest word
Look at all that top rated, undervalued energy names
Oil man mutha fukka
Putin invades just shortly after closing of the games, and oil goes straight through $100
Pretty sweet energy seasonality as well feb, March, April