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:kicksrock:  should have followed my own advice. Didn't think it would be this quickly but Dell is pretty opportunistic. I think it's spiking on them releasing a press-report. In my experience, those likely buy the company some time so not sure it'll be a next week or two announcement. They have a lot of details to work through although the thoroughness of the press release indicates they've thought about it all. Now just have to execute. I'll probably look to buy any pull backs in DELL. Should be good for another 5-10% pop when they announce it. 

As for VMW, it probably helps your long-term thesis. May be some near-term pain that keep it from taking off since there will be more stock hitting the market. But an independent VMW should be able to invest and do what it wants as opposed to propping up DELL. 
I put about 10K in each when I brought it up Friday

 
Here are some thoughts - no promises on them being deep or accurate, just reflective of my experiences reading/presenting the outcomes of studies to physicians over the years. (If anyone cares, I've been in medical sales - not pharmaceutical - since 2003, specifically in the cardiovascular space for the last 5 years.)

Mild to Moderate trial

  • I know they exceeded their planned enrollment, and assume that was by accident (speed of enrollment across multiple sites - they beat their enrollment estimate date by months and never activated two sites). However, with such a small number of people overall there could potentially be some issues with the power of the study.

    I've seen this happen where you get good results in terms of separation from the placebo/control group but because of being underpowered the study may not come back as statistically significant. Those are confusing results, especially in a world where even many physicians just look at the headline to help them make their decisions.

[*]However, I think they picked a decent primary endpoint which is just symptomatic improvement based on a composite score. 

  • I can't find the actual protocol, so I'll assume there's some specifics around how they are scoring each of the 4 components across the scoring spectrum of 0-3. The better defined this is, the more people can easily agree with (not dispute) the results. Especially if the definitions are in line with industry norms.
  • If these scores are more subjective then you can run into issues where different locations are scoring things differently and your results aren't as accurately represented - especially with lower enrollment (power) numbers.

[*]Assuming they hit the primary with good statistical significance (many studies say they want a p-value of <0.05, but still many academics want to see 0.01 or nowadays even 0.001) the secondary endpoints can help sell the lebronlimeade story.

  • They have 12 secondary endpoints listed which means they really want to extract a LOT from this study and are not expecting another bite at the apple.
  • If the primary endpoint is not met (even if results are good, but not significant, it's considered "not met" and a "failed trial") most academic purists will say that none of these other endpoints matter. 
  • However, some folks really disagree with this perspective and will say you need to look at the totality of the data. Bottom line from a stock perspective you want them to really nail the primary outcome, then the secondary ones are gravy. If you miss the primary but crush half the secondary it can mean some positive things for the drug, but you have a longer road ahead of you to prove that's the case to the medical community.
  • Some shorter who is looking to crap on CYDY could cherry pick some secondary endpoints that aren't met (even if the primary is met) and try to knock down the results. Don't let that sway you. For instance, I could see secondary endpoints 5, 9, 11, and 12 not making significance even if the primary is met. Then someone will say "hospitalizations, O2 usage, mortality, and returning to normal activity didn't improve - I don't care if symptoms got better based on some scoring system that NP concocted to make his product look good." Don't worry about that. Doctors will see it hit the primary endpoint and will use it for these cases.

Severe to Critical trial

  • 390 patients seems low to me at first glance for total mortality, but I think that's because I'm used to trials with patients in the thousands because mortality on cardiac events occurs at a lower rate (percentage basis) than I presume does for severe COVID cases. 
  • However, these studies are powered based on estimates and data known at the time. So when they started this the death rate for severe COVID patients may have been higher than what we are seeing today. As doctors learn to somewhat treat these patients better, and we are seeing a younger population infected, we are seeing a decline in death rates (I think).
  • If that's the case there is the possibility of seeing what I described before - an improvement versus control group but not statistical significance. Buuuuuttt....
  • When they take a peek at the data they may see that this is occurring. Specifically, they can see a treatment effect PLUS the product being safe - and in that case they may recommend to the primary investigator to increase the enrollment, which would push back the estimated completion timeline. Probably not from the one listed on the study, but from estimates discussed.
  • Again, if that were to happen shorters could jump on it and say that they are just trying to enroll more people to hope they get a different result. That isn't really true. The hope in doing that is to show that the result being seen is in fact statistically significant. AND this is only done if the safety of the treatment is already not in question. So if this happens this isn't bad for the drug, it just potentially extends the timeline.
  • Speaking of enrollment, I think they have a good mix of places to get the people they need. Seeing NY/NJ/CT/MA on here is less "helpful" since those states are doing a better job controlling cases. But seeing NC/CA/TX does help with getting the patients into the trial.
  • TOTAL MORTALITY

    Just as an RCT (randomized controlled trial) is the gold standard for medical trials, Total Mortality is the gold standard for trials where the intervention is needed to save a life. This doesn't mean it's perfect - but if you get a good result for this metric as your primary endpoint the medical community will be very happy.
  • The problem is that total mortality is just that - if they die from ANYTHING during the trial, it counts. So first you have to understand that if a person signs onto the trial and is randomized into the CYDY group then even if they die before receiving a treatment, that hurts the number. If they die for reasons unrelated to COVID or the drug therapy, that hurts the number. It cuts both ways, though, as it also applies to the control group.

    Heck, even if a person signs on and is randomized and then says "nevermind, I'm out" that doesn't matter. They could transition to palliative care the next hour and die that day having never received the therapy and still count to the trial based on their randomization. If CYDY doesn't meet the total mortality significance threshold, expect to hear discussion about this. This sort of parsing the data is understandable, but docs will take a LONG time to "buy it."

[*]So to understand how they want to mitigate this, look at the exclusion criteria. They did a decent job of trying to make it so that people unlikely to stick with the trial or have problems with the therapy. What they weren't able to do is exclude people based on comorbidities such as diabetes or heart disease, because that would probably knock out too many of their actual severe patient population. This one could be tricky as a result. But if the result comes back positive and strongly significant, that's great. 


[*]The secondary outcomes here (again) will mostly come into play only if the primary is hit. They are really counting on hitting the mortality overall, and then showing speed (and breadth) of effect. Some are in place to point to some sub-populations that could be successful even if total mortality is missed, but it will be hard to convince clinicians of this in any short-term timeframe.

Anyway, that's it for now. I should probably get back to actual work. Hope this helped some folks out. I'll try to answer questions if anyone has any but don't get mad if I give you an "I have no clue."

 
Here are some thoughts - no promises on them being deep or accurate, just reflective of my experiences reading/presenting the outcomes of studies to physicians over the years. (If anyone cares, I've been in medical sales - not pharmaceutical - since 2003, specifically in the cardiovascular space for the last 5 years.)

Mild to Moderate trial

  • I know they exceeded their planned enrollment, and assume that was by accident (speed of enrollment across multiple sites - they beat their enrollment estimate date by months and never activated two sites). However, with such a small number of people overall there could potentially be some issues with the power of the study.

    I've seen this happen where you get good results in terms of separation from the placebo/control group but because of being underpowered the study may not come back as statistically significant. Those are confusing results, especially in a world where even many physicians just look at the headline to help them make their decisions.

[*]However, I think they picked a decent primary endpoint which is just symptomatic improvement based on a composite score. 

  • I can't find the actual protocol, so I'll assume there's some specifics around how they are scoring each of the 4 components across the scoring spectrum of 0-3. The better defined this is, the more people can easily agree with (not dispute) the results. Especially if the definitions are in line with industry norms.
  • If these scores are more subjective then you can run into issues where different locations are scoring things differently and your results aren't as accurately represented - especially with lower enrollment (power) numbers.

[*]Assuming they hit the primary with good statistical significance (many studies say they want a p-value of <0.05, but still many academics want to see 0.01 or nowadays even 0.001) the secondary endpoints can help sell the lebronlimeade story.

  • They have 12 secondary endpoints listed which means they really want to extract a LOT from this study and are not expecting another bite at the apple.
  • If the primary endpoint is not met (even if results are good, but not significant, it's considered "not met" and a "failed trial") most academic purists will say that none of these other endpoints matter. 
  • However, some folks really disagree with this perspective and will say you need to look at the totality of the data. Bottom line from a stock perspective you want them to really nail the primary outcome, then the secondary ones are gravy. If you miss the primary but crush half the secondary it can mean some positive things for the drug, but you have a longer road ahead of you to prove that's the case to the medical community.
  • Some shorter who is looking to crap on CYDY could cherry pick some secondary endpoints that aren't met (even if the primary is met) and try to knock down the results. Don't let that sway you. For instance, I could see secondary endpoints 5, 9, 11, and 12 not making significance even if the primary is met. Then someone will say "hospitalizations, O2 usage, mortality, and returning to normal activity didn't improve - I don't care if symptoms got better based on some scoring system that NP concocted to make his product look good." Don't worry about that. Doctors will see it hit the primary endpoint and will use it for these cases.

Severe to Critical trial

  • 390 patients seems low to me at first glance for total mortality, but I think that's because I'm used to trials with patients in the thousands because mortality on cardiac events occurs at a lower rate (percentage basis) than I presume does for severe COVID cases. 
  • However, these studies are powered based on estimates and data known at the time. So when they started this the death rate for severe COVID patients may have been higher than what we are seeing today. As doctors learn to somewhat treat these patients better, and we are seeing a younger population infected, we are seeing a decline in death rates (I think).
  • If that's the case there is the possibility of seeing what I described before - an improvement versus control group but not statistical significance. Buuuuuttt....
  • When they take a peek at the data they may see that this is occurring. Specifically, they can see a treatment effect PLUS the product being safe - and in that case they may recommend to the primary investigator to increase the enrollment, which would push back the estimated completion timeline. Probably not from the one listed on the study, but from estimates discussed.
  • Again, if that were to happen shorters could jump on it and say that they are just trying to enroll more people to hope they get a different result. That isn't really true. The hope in doing that is to show that the result being seen is in fact statistically significant. AND this is only done if the safety of the treatment is already not in question. So if this happens this isn't bad for the drug, it just potentially extends the timeline.
  • Speaking of enrollment, I think they have a good mix of places to get the people they need. Seeing NY/NJ/CT/MA on here is less "helpful" since those states are doing a better job controlling cases. But seeing NC/CA/TX does help with getting the patients into the trial.
  • TOTAL MORTALITY

    Just as an RCT (randomized controlled trial) is the gold standard for medical trials, Total Mortality is the gold standard for trials where the intervention is needed to save a life. This doesn't mean it's perfect - but if you get a good result for this metric as your primary endpoint the medical community will be very happy.
  • The problem is that total mortality is just that - if they die from ANYTHING during the trial, it counts. So first you have to understand that if a person signs onto the trial and is randomized into the CYDY group then even if they die before receiving a treatment, that hurts the number. If they die for reasons unrelated to COVID or the drug therapy, that hurts the number. It cuts both ways, though, as it also applies to the control group.

    Heck, even if a person signs on and is randomized and then says "nevermind, I'm out" that doesn't matter. They could transition to palliative care the next hour and die that day having never received the therapy and still count to the trial based on their randomization. If CYDY doesn't meet the total mortality significance threshold, expect to hear discussion about this. This sort of parsing the data is understandable, but docs will take a LONG time to "buy it."

[*]So to understand how they want to mitigate this, look at the exclusion criteria. They did a decent job of trying to make it so that people unlikely to stick with the trial or have problems with the therapy. What they weren't able to do is exclude people based on comorbidities such as diabetes or heart disease, because that would probably knock out too many of their actual severe patient population. This one could be tricky as a result. But if the result comes back positive and strongly significant, that's great. 


[*]The secondary outcomes here (again) will mostly come into play only if the primary is hit. They are really counting on hitting the mortality overall, and then showing speed (and breadth) of effect. Some are in place to point to some sub-populations that could be successful even if total mortality is missed, but it will be hard to convince clinicians of this in any short-term timeframe.

Anyway, that's it for now. I should probably get back to actual work. Hope this helped some folks out. I'll try to answer questions if anyone has any but don't get mad if I give you an "I have no clue."
Appreciate this type of effort 

 
CYDY has dropped in large chunks today.  But then regroups are rises back.  Looks like it could be a short attack that is getting thwarted by buyers.

 
Offloading some DKNG to bring my cost basis down during this run up. Will add back on the next 10% drop lol. Huge swings the past few days.

 
Starting to add Blmn.  Dripping in as low 10s is very possible today.  Missed my cydy opportunity.  It's not staying down long.

 
With many sports struggling to plan a season, and college football (huge betting volume) unlikely to happen, IMO DKNG Puts for oct may be a good play. 
 

Thoughts? 

 
With many sports struggling to plan a season, and college football (huge betting volume) unlikely to happen, IMO DKNG Puts for oct may be a good play. 
 

Thoughts? 
If sports do play, betting could go through the roof the same way small time stock investing exploded in popularity due to people sitting at home bored.  I could see a scenario where the professional sports play but college sports don't play.  I think the people who would have bet on college sports will easily switch over to betting on professional sports.  If all sports do get halted, my guess is that it'll happen sometime between November and January.  But who knows, we are in uncharted territory.

 
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With many sports struggling to plan a season, and college football (huge betting volume) unlikely to happen, IMO DKNG Puts for oct may be a good play. 
 

Thoughts? 
If you're wrong and all these people working from home with unblocked access to a gambling site and plenty of time to make bets/build lineups  get rolling, you could get crushed.

 
If sports do play, betting could go through the roof the same way small time stock investing exploded in popularity due to people sitting at home bored.  I could see a scenario where the professional sports play but college sports don't play.  I think the people who would have bet on college sports will easily switch over to betting on professional sports.  If all sports do get halted, my guess is that it'll happen sometime between November and January.  But who knows, we are in uncharted territory.
LOL...I may just stop posting and let you handle it for me.

 
If sports do play, betting could go through the roof the same way small time stock investing exploded in popularity due to people sitting at home bored.  I could see a scenario where the professional sports play but college sports don't play.  I think the people who would have bet on college sports will easily switch over to betting on professional sports.  If all sports do get halted, my guess is that it'll happen sometime between November and January.  But who knows, we are in uncharted territory.
Also depends on how long we keep paying people more money to stay at home than to find a job. That's what really drove the RH insanity, IMO

 
Bang my freaking head against the wall. I had big eggs in the SCHD basket (ETF of dividend blue chip stocks). I was noticing every day for 10 days in a row that it was lagging SPY (S&P 500 etf) and XLK (tech company ETF). I sold 2/3 of my SCHD and put 1/3 each into SPY and XLK. I am not joking when I say that every single day since (5 days running), SCHD has been absolutely crushing SPY and XLK. Today SCHD is up 1/2% while SPY is down 2/3% and XLK is down 2%. Every day since I switched has literally been like this. I've lost myself thousands of dollars. Should I reverse back or keep the diversification as is, and things will return to the norm? The 5 year charts for SPY and XLK are much better than SCHD. I maybe just have awful, awful luck?

 
Bang my freaking head against the wall. I had big eggs in the SCHD basket (ETF of dividend blue chip stocks). I was noticing every day for 10 days in a row that it was lagging SPY (S&P 500 etf) and XLK (tech company ETF). I sold 2/3 of my SCHD and put 1/3 each into SPY and XLK. I am not joking when I say that every single day since (5 days running), SCHD has been absolutely crushing SPY and XLK. Today SCHD is up 1/2% while SPY is down 2/3% and XLK is down 2%. Every day since I switched has literally been like this. I've lost myself thousands of dollars. Should I reverse back or keep the diversification as is, and things will return to the norm? The 5 year charts for SPY and XLK are much better than SCHD. I maybe just have awful, awful luck?
I’m big in tech type stocks outside of my 401ks which are obviously more index related and outside of the past week they’ve been crushing the indexes. There may be some rotation but I’m not changing course. I also know that most of my stocks had solid Q1s and likely will have way better Q2s. I’m legitimately worried once people realize how bad earnings will really be.

 
Confessional time: I just sold 40% of $CYDY, but it’s not really as bad as that statement reads.  I had whatever amount invested That I felt comfortable with.  When it dropped to $2.90 I doubled down plus a smidge.

had a good look at the big picture this morning and came to the conclusion if we get some bad news I’d really really hate myself for being overexposed.

im back to the “nice sized but not obscene” amount invested and increased the amount of shares as my price per share dropped.  that’s a good thing.

im going to sleep at night either way.  When this goes to $50 I’ll still be rich.
 

 
Second batch of Blmn gone for a 2% gain.  Back to my original position at the start of the day.

 
Huh? They just announced their earnings call on August 6th. I don’t see any actual news on earnings. 
This popped up in news on Thinkorswim, I assumed it came out today -

Penn National Gaming (NASDAQ:PENN) reported Q1 sales of $1.12 billion but lost a total of $608.60 million in terms of earnings, which is a 187.33% decrease from last quarter. Penn National Gaming reached earnings of $696.90 million and sales of $1.34 billion in Q4.

What Is Return On Capital Employed?

Return on Capital Employed is a measure of yearly pre-tax profit relative to capital employed in a business. Changes in earnings and sales indicate shifts in a company's ROCE. A higher ROCE is generally representative of successful growth in a company and is a sign of higher earnings per share for shareholders in the future. A low or negative ROCE suggests the opposite.

In Q1, Penn National Gaming posted a ROCE of -0.33%.

 
Confessional time: I just sold 40% of $CYDY, but it’s not really as bad as that statement reads.  I had whatever amount invested That I felt comfortable with.  When it dropped to $2.90 I doubled down plus a smidge.

had a good look at the big picture this morning and came to the conclusion if we get some bad news I’d really really hate myself for being overexposed.

im back to the “nice sized but not obscene” amount invested and increased the amount of shares as my price per share dropped.  that’s a good thing.

im going to sleep at night either way.  When this goes to $50 I’ll still be rich.
 
Well done Ref.

 
Today seems to be repeating yesterday's midday sideways movement for CYDY.  If there isn't a lunchtime short attack, there is probably a good chance the stock rises over the last 90 minutes again today.  It could be a savvy day trade.

 
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With many sports struggling to plan a season, and college football (huge betting volume) unlikely to happen, IMO DKNG Puts for oct may be a good play. 
 

Thoughts? 
Agree. MLB is supposed to start on the 20th. Puts on the 21st if you think it won't happen

 
Today seems to be repeating yesterday's midday sideways movement for CYDY.  If there isn't a lunchtime short attack, there is probably a good chance the stock rises over the last 90 minutes again today.  It could be a savvy day trade.
You've been on top of this.  Thanks for the heads up.

 
Agree. MLB is supposed to start on the 20th. Puts on the 21st if you think it won't happen
MLB and Golf are the sports I see pulling this off... because they aren't sports.

The games are played distanced, only reason the participants would even break a sweat is if they have to stand still under the sun for too long.

Unlike basketball/football where guys are gonna be breathing hard on each other in close contact for 3 hours+.

 
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If sports do play, betting could go through the roof the same way small time stock investing exploded in popularity due to people sitting at home bored.  I could see a scenario where the professional sports play but college sports don't play.  I think the people who would have bet on college sports will easily switch over to betting on professional sports.  If all sports do get halted, my guess is that it'll happen sometime between November and January.  But who knows, we are in uncharted territory.
United States

Confirmed

3.53M

+65,370

Recovered

1.03M

Deaths

138K

+1,413

PLAY BALL

 
Offloading some DKNG to bring my cost basis down during this run up. Will add back on the next 10% drop lol. Huge swings the past few days.
Was still pretty overextended so I threw the last of my 'expensive' shares out the door @ 35. Cost basis now $30 at a much more comfortable percentage of my gambling account.

 
With many sports struggling to plan a season, and college football (huge betting volume) unlikely to happen, IMO DKNG Puts for oct may be a good play. 
 

Thoughts? 
I think OTM puts make sense. I mean good chance it goes to 0. But better risk / reward than shorting. I’m sure premiums are high but wouldn’t want to be naked short them. 

 
I think OTM puts make sense. I mean good chance it goes to 0. But better risk / reward than shorting. I’m sure premiums are high but wouldn’t want to be naked short them. 
That's where I am but was planning on waiting until closer to the start of the season and NFL training camp since I think it runs up a little more. If I was really brave I would have bought calls but I'm not lol. 

 

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