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.
That said, S&P can make mistakes since the process is semi-automated and the underlying data in SEC filings is complex and arguably crude in many ways. In no uncertain terms, scaling FF estimates is a gargantuan task.
When we see a potential error, we investigate and collaborate with S&P when appropriate. In some cases, S&P recognizes an error and corrects the underlying data that is then distributed to many other sites/platforms beyond ORTEX, strengthening the overall information ecosystem.
S&P is excluding the ~1.6M insider shares from $RDBX FF. All we did is verify that there were no obvious errors (double-counting, under-counting, etc.) with the disclosures.
If @DonutShorts has an issue with excluding these 1.6M shares – or any other aspect of S&P‘s methodology – we invite them to take it up with S&P on behalf of retail investors. As we did.
For example, @YahooFinance shows the same 1.95M $RDBX FF that ORTEX displays, presumably because S&P is also providing the data.
The table in Note 3 (Pg. 81) of the 10-K does not mention RSUs, so we’re not sure what you’re referring to. The Form 4s that we reviewed do not say the insider holdings are RSUs, and they would. We may be a relatively small team, but we’re not lazy.
In terms of our #ShortInterest estimates, we do derive those internally using algorithmic analysis of securities lending data. Not many companies even attempt to provide real-time SI data because it is so difficult.
For reference, S3 estimates that $RDBX SI shares are even higher than our estimate.
Additionally, we have noted on several occasions that there is a disconnect between the merger fundamentals and current share prices in an effort to warn any investors that might buy and hold through closing.
Ultimately, ORTEX aspires to provide actionable analytics and market data to investors in a transparent way. We hope and believe that we are more transparent than an anonymous Twitter account named after a breakfast pastry, delicious as they may be.
Jokes aside, we do our best to correct errors where we see them and we take customer/user feedback very seriously. How our subscribers utilize the data is entirely up to them.
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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.