The recent spike in $AMC CTB demonstrates that a sustained utilization rate of 100% does not necessarily translate into a higher propensity to pay borrowing fees, as discussed in this previous thread.
If you compare $AMC utilization and CTB over the past year, it’s hard to see any direct correlations in the data. While utilization and CTB are somewhat related, both metrics can fluctuate independently and provide investors with different info regarding the lending market.
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We generally ignore comments like this that usually aren’t worth our time responding to, but there are a few inaccuracies in this @DonutShorts thread that are worth addressing.
For starters, our business is to provide data and analytics to investors, which means our mission is to provide the most accurate data that we can. We are not trying to "foment" anything.
We do not calculate or estimate FF internally, but instead rely on S&P Global Market Intelligence @SPGlobal to provide. Presumably, @DonutShorts knows and appreciates that S&P is one of the largest and most authoritative sources for market data on Earth.
We have received numerous inquiries regarding $RDBX FF. Our preliminary review of the underlying data has not uncovered any errors in the estimate provided by S&P Global. Here’s what we have reviewed so far.
There were 12.62M Class A shares outstanding as of March 31, 2022, according to the most recent 10-Q. Class B shares do not trade publicly and therefore are excluded from FF.
We have had a lot of questions after yesterday's tweet about the #ShortSqueeze Signal in #AMC.
Below are some answers to the most common ones.
If you have emailed our support please bear with us, we will reply to your email. Please also remember to use the help on the platform.
"44.53% mean return" refers to the history of this trading signal in $AMC. The signal has happened 12 times in the past, the average % change in the share price 6 trading days after the signal has been +44.53%
#ORTEX generate many different types of trading signals. you can read more about them here - public.ortex.com/trading-signal…
as well as on the help section on the platform.
A #ShortSqueeze signal was generated based on the recent price increase and the high shorting level in $AMC
The mean return for this signal is 44.53%
ORTEX Trading Signals are based on historical performance and are not investment advice.
#ORTEX Trading Signals are based on historical statistics and machine learning. #ShortSqueeze signals, in particular, are rare, and the duration of the price momentum is particularly hard to estimate.
#ORTEX#ShortSqueeze Trading signals identifies Squeeze events with a high conviction, but may trigger too late, or recommend a holding period that would result in a significant loss.