![]() ![]() I am no longer actively on this project but I can tell you that they were still inputing testing data sets up to roughly 2 weeks ago. But anyone who’s worked on ML knows damn well that no data set is accurate and needs constant testing data sets. I know they chose the timeline of all data sets to include everything back to January 1st of 2011. However I was not responsible for the relative correlation variables, nor the behavioral binding/weights. From what I can remember it consisted mostly of Oscillators, moving averages and of course pivots. I was tasked with building parts of the Training Data Set, I integrated the basic indicators as some of the variables. But I think I’ve still got a decent grasp on my portion of the project. It’s been a couple months since I worked on it. When things are cleared up and it’s shown that most of the float is locked up, it will be hard to create much downward pressure. Low float: The float is much smaller than people think.You see companies going from $1B to $15B in 6 months all the time in the private markets. ![]() A $1B company jumping to $5B isn’t totally unrealistic, especially if it’s been up and running for a while and developing game-changing technologies. We’re talking about a company with a small valuation. Even if there’s not a squeeze, as production facilities get up and running and delivering revenue, there’s probably a chance that folks stop shorting the stock as much.ĢB. The true price of the stock is not $3, it’s likely closer to $5-10 (so the valuation jump is not as drastic). There’s got to be revenue coming out of them in 2022 when they open. It would be hard to believe that these production facilities would be built and launched and just sit there. That would be $100M earnings per year, and a 30X P/E would put that at $3B or around $15 a share.ġB. Let’s say it’s a ten year contract and 30% margin. Let’s dig into just one: Ken Rice said the 5G Japan deal is $3-5B in revenue. I could see it being in that range for a few different reasons: What are your thoughts on this? Too bullish? Not bearish enough? Feel free to DM me your own predictions. Only time will tell, but our prediction is amongst the stars, TO THE MOON!” Many of whom likely will buy more MMAT shares, further deleveraging the short-sellers than what they already are, which is extremely risky on the short-seller side. The possibility of a minor short squeeze seems even higher when you consider many current investors of MMAT will have extra asset value as soon as the dividend spinoff occurs. Which would be the catalyst needed to see a higher value around that $35 range. On the other hand, with so many shares being shorted, there is a large potential for a minor short squeeze. Meaning on a fairly conservative estimate, MMAT could be up roughly 500% 1 year from now. $15.50-$35.00 Was within 2 standard deviations of the bell curve average. With many calculations, we've predicted a range of potential value per MMAT shares by the end of 2022. However, with Metamaterials having so much potential of producing industry breaking materials, and already having 200+ patents under its belt it's fair to say a breakout is overdue, especially with the dividend spinoff from the merger finalizing in the near future. Short-sellers have been attempting to regain their losses by shorting even more shares leading to a containment around the $2.50-$6.00 range. “MMAT has been heavily shorted ever since it merged with torchlight, and grandfathering torchlights shorted shares. I’m not allowed to show the URL or name the website or it’ll be taken down again. It was in regards to the value per MMAT share 2 years from now. So recently a website published a prediction article which was written using a machine learning AI I helped write. ![]()
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