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Setting Up TradingView Charts to Trade Daily Nadex Binary Options
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options trading wiki - trading binary options with candlestick charts and bollinger bands
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/r/reddevils 2020 Census Results
Thank you for taking part of the 2020 edition of /reddevils' census! We had 3,459 responses over the course of several days, and increase of .
Here are the results!
With a year passing, it's understandable that our user base has also aged. What is interesting is that while last year 59.5% of the userbase indicated that they were 25 and younger, only 46.1% did so this year. Given that there was also a large increase in respondents for the "26-30" age group, it seems that we had a lot of 25 year old folks responding last year. Here is a chart showing the break out by age group and also an age distribution graph. I've included also a year-over-year comparison this year. These do not represent percent change but rather simple subtraction. For example, the 4.1% increase seen in the "26-30" age group comes from this year's "26-30" being 29.17% of this years census responses vs. only being 25.07% last year.
Conclusion? We're getting old folks.
As with every census we've run, /reddevils is overwhelmingly male. 96.2% of respondents indicated that they were male which translates to 3,328 out of the 3,459 responses. The number of ladies here increased greatly compared to last year with 72, up from 28 in 2019. 18 respondents declined to specify their gender while 41 responded with another gender.
Our resident Wookiees have increased in number to 3, up from 1 last year and in the 2012 census. 2 respondents responded as being Non-binary as well as 2 indicated that they were Olesexual. Each of the following received one response apiece: Coca Cola Can, Lockheed Martin F-35 Lightning II, Cube, Moderator, Divine Enlightened Energy Being, Two-Horned Rainbow Unicorn, Earthworm, Bisexual Leprechaun (who, surprisingly was not from Ireland but rather the Land Down Under), Absolute Chad, Anti-Virus, Attack Titan, Neymar, Ole-Wan Keaneobi, Parrot Lord, Frank Lampard, Optimus Prime, Potato, Slightly Under Ripe Kumquat, Gek (Geek?), Twin Engine Rafale Fighter Jet, Gender Is A Construct, Vulcan, Washing Machine, Wolfbrother, Juggernaut, Woolly Mammoth, Luke Shaw's Masculine Bottom, and Mail. There was also one respondent who deigned to use the "Other" option here to leave me a very rude message. Guess you can't please everyone.
Most of the reds are employed (75.3% across the Employed, Student Employed, and Self Employed categories), up from last years' 71.5%. Given the current state of the world, it is nice to see that most are still employed. Our student population has gone down, understadably, from 37.4% across the two student categories to 30.0%. A full breakdown of the year-over-year changes can be seen here. Our retirees increased in number from 1 last year to 11 this. Enjoy retirement sirs/madams.
As expected, the majority of /reddevils is UK or US based (25.85% and 25.93%, respectively). We have seen major changes this year, particularly in relation to Scandinavia, which saw the largest increase in percentage points year-over-year. I wonder what happened there.
If we're breaking it down by the regions I arbitrarily put into the census form, UK (England) is the clear winner for a second year running with 569 members reporting living in England and another 184 specifically saying they are in Manchester.
I received some feedback about covering large areas with a single region. This was largely driven by how few responses had come from these these regions historically. I'll include a few more next year but please do not expect me to list every one of the the 195 countries in the world. I've also received some feedback about not allowing any options for folks with family ties or had grown up in England/Manchester and had moved away. This will also be included in next years census.
Season TicketholdeMatches Attended
Overwhelmingly, most of us here are not season ticketholders (97.95%). We did see an increase in those who are, though it is fairly minor.
Most folks are unable to attend games as well. The number of fans who do go to many games (16+ per season) more than tripled from last year. You all are the real MVPs.
How long have you been following football/Manchester United?
Understandably, we don't have a whole lot of new fans. Interestingly enough though, we've had a large increase in folks who have started following football regularly in the last 1-3 years despite having followed United for longer than that. Putting on my tin foil hat, that at least makes me think we're more fun to watch these days.
How long have you been a subscriber to /reddevils and how do you usually access Reddit?
There are a lot of new-ish users with 63.6% reporting they have subscribed here for less than 3 years. We have a decent number of /reddevils veterans however, 154 users indicated that they had been subscribed for more than 8 years. It's good to see the old guard still around.
Unsurprisingly, Reddit apps are the most popular method to access Reddit by far. This is followed by Old Reddit users on Desktop, users of the Mobile Reddit website, and then New Reddit users coming in dead last. Long live old Reddit.
Favorite Current Player
The mood around this question was incredibly different than last year. Last year, many were vocal indicating that they had a hard time choosing due to our squad being shit. Victor Lindelof ended up being the by and large favorite with around a quarter of the votes, followed by Paul Pogba and Marcus Rashford.
This year, it appeared that there were no such issues. Only 1 response in the survey indicated that they couldn't choose because our squad was shit while the vast majority either selected a player or indicated that they loved them all. Prime Minister Doctor Sir Marcus Rashford overwhelmingly came in first place with an almost 300 vote lead over second placed Anthony Martial. Bruno Fernandes and Mason Greenwood were neck and neck for a while, eventually settling into third and fourth respectively.
Former crowd favorites Victor Lindelof and Paul Pogba fell down the rankings with Lindelof ending in 8th place and Pogba in 5th.
Favorite All Time Player
Wayne Rooney continued to the be the king of /reddevils amassing nearly double the votes of second placed Paul Scholes. Cristiano Ronaldo came in third after a very tight race with Scholes. Beckham came in fourth followed by fifth placed Cantona and sixth placed Giggsy.
Here is a year-over-year comparison purely on recorded responses. Most players received just about the same share of the votes as they did last year. The biggest changes came from Wayne Rooney (up) and David Beckham (down). The way the numbers land, it almost looks like Wazza was stealing votes from Becks! Ole Gunnar Solskjaer had more of the proverbial pie, again I wonder whats happened there.
My man Park Ji Sung came in 11th place, good to see that there are at least 58 Park lovers out there!
Now for a bit of fun. Someone asked in the Census thread how many of George Best's votes came from Northern Ireland. One user suggested it was all of them, the data on the other hand says otherwise. Only 10 of Best's 29 votes came from Northern Ireland. George Best tied for favorite player there with Wayne Rooney with Paul Scholes and Cristiano Ronaldo tying for 3rd place with 8 votes apiece.
I did this same exercise with a few other players. Here are the results:
While Scandinavians votes were joint-most for Ole Gunnar Solskjaer (tied with the UK), he was not the most popular player among respondents living in Scandinavia. He came in second behind Wayne Rooney.
Roy Keane both received the most votes from the Republic of Ireland and was also the most popular player among Irish respondents.
Eric Cantona was not voted heavily by the French. The British, on the other hand, love him with 82 of his 218 votes coming from the United Kingdom. The majority of Cantona voters are older, with 134/218 being over 30 years of age.
Park Ji Sung received the most votes from the US (21) followed by the UK (19) and Southeast Asia (4).
Among respondents from the United Kingdom, Wayne Rooney was the most popular followed by Scholes, Ronaldo, and Cantona.
Among respondents from the United States, South Asia, and Southeast Asia, Wayne Rooney was the most popular. Scholes and Ronaldo alternated in popularity in second and third place. Beckham placed fourth in all three regions.
Thank you all again for your participation. We'll run one next year and see how things have changed!
submitted by zSolaris to reddevils [link] [comments]
Retard Bot Update 2: What is there to show for six months of work?
What is there to show? Not shit, that's why I made this pretty 4K desktop background instead:
On the real: I've been developing this project like 6 months now, what's up? Where's that video update I promised, showing off the Bot Builder? Is an end in sight?
Yes sort of. I back-tested 6 months of data at over 21% on a net SPY-neutral, sixteen year span of time including 2 bear, 2 bull, 2 crab months. But that's not good enough to be sure / reliable. I had gotten so focused on keeping the project pretty and making a video update that I was putting off major, breaking changes that I needed to make. The best quant fund ever made, the Medallion fund, was once capable of roughly 60% per year consistently, but in Retard Bot's case 1.5% compounded weekly. "But I make 60% on one yolo" sure whatever, can you do it again every year, with 100% of your capital, where failure means losing everything? If you could, you'd be loading your Lambo onto your Yacht right now instead of reading this autistic shit.
The End Goal
1.5% compounded weekly average is $25K -> $57M in 10 years, securing a fairly comfortable retirement for your wife's boyfriend. It's a stupidly ambitious goal. My strategy to pull it off is actually pretty simple. If you look at charts for the best performing stocks over the past 10 years, you'll find that good companies move in the same general trajectory more often than they don't. This means the stock market moves with momentum. I developed a simple equation to conservatively predict good companies movements one week into the future by hand, and made 100%+ returns 3 weeks in a row. Doing the math took time, and I realized a computer could do much more complex math, on every stock, much more efficiently, so I developed a bot and it did 100% for 3 consecutive weeks, buying calls in a bull-market.
See the problem there? The returns were good but they were based on a biased model. The model would pick the most efficient plays on the market if it didn't take a severe downturn. But if it did, the strategy would stop working. I needed to extrapolate my strategy into a multi-model approach that could profit on momentum during all different types of market movement. And so I bought 16 years of option chain data and started studying the concept of momentum based quantitative analysis. As I spent more and more weeks thinking about it, I identified more aspects of the problem and more ways to solve it. But no matter how I might think to design algorithms to fundamentally achieve a quantitative approach, I knew that my arbitrary weights and variables and values and decisions could not possibly be the best ones.
Why Retard Bot Might Work
So I approached the problem from all angles, every conceivable way to glean reliably useful quantitative information about a stock's movement and combine it all into a single outcome of trade decisions, and every variable, every decision, every model was a fluid variable that machine learning, via the process of Evolution could randomly mutate until perfection. And in doing so, I had to fundamentally avoid any method of testing my results that could be based on a bias. For example, just because a strategy back-tests at 40% consistent yearly returns on the past 16 years of market movement doesn't mean it would do so for the next 16 years, since the market could completely end its bull-run and spend the next 16 years falling. Improbable, but for a strategy outcome that can be trusted to perform consistently, we have to assume nothing.
So that's how Retard Bot works. It assumes absolutely nothing about anything that can't be proven as a fundamental, statistical truth. It uses rigorous machine learning to develop fundamental concepts into reliable, fine tuned decision layers that make models which are controlled by a market-environment-aware Genius layer that allocates resources accordingly, and ultimately through a very complex 18 step process of iterative ML produces a top contender through the process of Evolution, avoiding all possible bias. And then it starts over and does it again, and again, continuing for eternity, recording improved models when it discovers them.
The Current Development Phase
Or... That's how it would work, in theory, if my program wasn't severely limited by the inadequate infrastructure I built it with. When I bought 16 years of data, 2TB compressed to its most efficient binary representation, I thought I could use a traditional database like MongoDB to store and load the option chains. It's way too slow. So here's where I've ended up this past week:
It was time to rip off the bandaid and rebuild some performance infrastructure (the database and decision stack) that was seriously holding me back from testing the project properly. Using MongoDB, which has to pack and unpack data up and down the 7 layer OSI model, it took an hour to test one model for one year. I need to test millions of models for 16 years, thousands of times over.
I knew how to do that, so instead of focusing on keeping things stable so I could show you guys some pretty graphs n shit, I broke down the beast and started rebuilding with a pure memory caching approach that will load the options chains thousands of times faster than MongoDB queries. And instead of running one model, one decision layer at a time on the CPU, the new GPU accelerated decision stack design will let me run hundreds of decision layers on millions of models in a handful of milliseconds. Many, many orders of magnitude better performance, and I can finally make the project as powerful as it was supposed to be.
I'm confident that with these upgrades, I'll be able to hit the goal of 60% consistent returns per year. I'll work this goddamn problem for a year if I have to. I have, in the process of trying to become an entrepreneur, planned project after project and given up half way through when it got too hard, or a partner quit, or someone else launched something better. I will not give up on this one, if it takes the rest of the year or five more.
But I don't think it'll come to that. Even with the 20% I've already achieved, if I can demonstrate that in live trading, that's already really good, so there's not really any risk of real failure at this point. But I will, regardless, finish developing the vision I have for Retard Bot and Bidrate Renaissance before I'm satisfied.
https://preview.redd.it/0plnnpkw5um51.png?width=3840&format=png&auto=webp&s=338edc893f4faadffabb5418772c9b250f488336
submitted by o_ohi to retard_bot [link] [comments]
Wall Street Week Ahead for the trading week beginning August 17th, 2020
Good Saturday morning to all of you here on stocks. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning August 17th, 2020.
Stocks are ignoring the lack of a stimulus package from Congress, but that could change - (Source)
Stocks could hang at record levels but gains may be capped until Congress agrees to a new stimulus package to help the economy and the millions of unemployed Americans.
Stocks were higher in the past week, and the S&P 500 flirted with record levels it set in February.
In the coming week, there are some major retailers reporting earnings, including Walmart, Home Depot and Target, but the season is mostly over and the market is entering a quiet period. There are minutes from the Fed's last meeting, released Wednesday, and housing data, including starts Tuesday and existing sales Friday.
Investors had been watching efforts by Congress to agree to a new stimulus package, but talks have failed and the Senate has gone on recess. There is a concern that Congress will not be convinced to provide a big enough package when it does get to work again on the next stimulus round because recent economic reports look stronger. July's retail sales, for example, climbed to a record level and recovered to pre-pandemic levels.
"The juxtaposition of getting more fiscal stimulus and better data has paralyzed us in our tracks … we've seen this sideways [market] action," said Art Hogan, chief market strategist at National Alliance. "It feels like we need more action from Congress, and the concern is the longer we wait, the better the data gets and the less impactful the next round of stimulus will be."
Some technical analysts say the market may pull back around the high, to allow it to consolidate gains before moving higher into the end of the year. The S&P 500 reached an all-time high of 3,393 on Feb. 19.
Hogan said he expects stocks to tread sideways during the dog days of August, but they could begin to react negatively to the election in September. He also said it is important that progress continue against the spread of Covid-19, as the economy continues to reopen.
Peter Boockvar, chief investment strategist at Bleakley Advisory Group, said the market could have a wakeup call at some point that the stimulus package has not been approved.
"I think it will cross over a line where they care," he said. "I think the market is in suspended animation of believing there will be a magical deal." Boockvar said he expects a deal ultimately, but the impact is not likely to be as big as the last round of funding.
"What they're not grasping is any deal, any extension of unemployment benefits, is going to be smaller than it was, and the rate of change should be the most important thing investors focus on," he said. "Not the binary outcome of whether there's a deal or no deal. There's going to be less air going into the balloon."
It's the economy
Still, economists expect to see a strong rebound in the third quarter, and are anticipating about about a 20% jump in third-quarter growth. But they also say that could be threatened if Congress does not help with another stimulus package.
Mark Zandi, chief economist at Moody's Analytics, described the July retail sales as a perfect V-shaped recovery, but cautioned it would not last unless more aid gets to individuals and cities and states. Democrats have sought a $3 trillion spending package, and Republicans in the Senate offered a $1 trillion package. They could not reach a compromise, including on a $600 weekly payment to individuals on unemployment which expired July 31.
President Donald Trump has tried to fill the gap with executive orders to provide extra benefits to those on unemployment, but the $300 federal payment and $100 from states may take some time to reach individuals, as the processing varies by state. He has also issued an order instructing the Treasury to temporarily defer collection of payroll taxes from individuals making up to $104,000.
"I think in August and September, there will be a lot of Ws, if there's not more help here," said Zandi, referring to an economic recovery that retrenches from a V shape before heading higher again. "It's clearly perplexing. It may take the stock market to say we're not going to get what we expect, and sell off and light a fire."
Zandi said it could come to a situation like 2008, where the stock market sold off sharply before Congress would agree to a program that helped financial companies.
"We need a TARP moment to get these guys to help. Maybe if the claims tick higher and the August employment numbers are soft, given the president is focused on the stock market, that might be what it takes to get them back to the table in earnest," he said, referring to the Troubled Asset Relief Program that helped rescue banks during the financial crisis.
He ultimately expects a package of about $1.5 trillion to be approved in September.
The lack of funding for state and local governments could result in more layoffs, as they struggle with their current 2021 budgets, Zandi said. Already 1.3 million public sector jobs have been lost since February, and there will be more layoffs and more programs and projects cancelled. The impact will hit contractors and other businesses that provide services to local governments.
"The multipliers on state and local government are among the highest of any form of support, so if you don't provide it, it's going to ripple through the economy pretty fast," he said.
Economists expect to see a softening in consumer spending in August with the more than 28 million Americans on unemployment benefits as of mid-July no longer receiving any supplemental pay.
"The real irony is things are shaping up that September is going to be a bad month, and that's going to show up in all the data in October," Zandi said. "They are really taking a chance on this election by not acting."
4 Charts That Will Amaze You
The S&P 500 Index is a few points away from a new all-time high, completing one of the fastest recoveries from a bear market ever. But this will also seal the deal on the shortest bear market ever. Remember, the S&P 500 Index lost 20% from an all-time high in only 16 trading days back in February and March, so it makes sense that this recovery could be one of the fastest ever.
From the lows on March 23, the S&P 500 has now added more than 50%. Many have been calling this a bear market rally for months, while we have been in the camp this is something more. It's easy to see why this rally is different based on where it stands versus other bear market rallies:
They say the stock market is the only place where things go on sale, yet everyone runs out of the store screaming. We absolutely saw that back in March and now with stocks near new highs, many have missed this record run. Here we show how stocks have been usually higher a year or two after corrections.
After a historic drop in March, the S&P 500 has closed higher in April, May, June, and July. This rare event has happened only 11 other times, with stocks gaining the final five months of the year a very impressive 10 times. Only 2018 and the nearly 20% collapse in December saw a loss those final five months.
As shown in the LPL Chart of the Day, this bear market will go down as the fastest ever, at just over one month. The recovery back to new highs will be five months if we get there by August 23, making this one of the fastest recoveries ever. Not surprisingly, it usually takes longer for bear markets in a recession to recover; only adding to the impressiveness of this rally.
"It normally takes 30 months for bear markets during a recession to recover their losses, which makes this recovery all the more amazing," said LPL Financial Chief Market Strateigst Ryan Detrick.. "Then again, there has been nothing normal about this recession, so maybe we shouldn't be shocked about yet another record going down in 2020."
When a Few Basis Points Packs a Punch
US Treasury yields have been on the rise this week with the 10-year yield rising 13 basis points (bps) from 0.56% up to 0.69% after getting as high as 0.72% on Thursday. A 13 bps move higher in interest rates may not seem like a whole lot, but with rates already at such low levels, a small move can have a pretty big impact on the prices of longer-term maturities.
Starting with longer-term US Treasuries, TLT, which measures the performance of maturities greater than 20 years, has declined 3.5% this week. Now, for a growth stock, 3.5% is par for the course, but that kind of move in the Treasury market is no small thing. The latest pullback for TLT also coincides with another failed attempt by the ETF to trade and stay above $170 for more than a day.
The further out the maturity window you go in the fixed income market, the bigger the impact of the move higher in interest rates. The Republic of Austria issued a 100-year bond in 2017, and its movements exemplify the wild moves that small changes in interest rates (from a low base) can have on prices. Just this week, the Austrian 100-year was down over 5%, which is a painful move no matter what type of asset class you are talking about. This week's move, though, was nothing compared to the stomach-churning swings from earlier this year. When Covid was first hitting the fan, the 100-year rallied 57% in the span of less than two months. That kind of move usually occurs over years rather than days, but in less than a third of that time, all those gains disintegrated in a two-and-a-half week span from early to late March. Easy come, easy go. Ironically enough, despite all the big up and down moves in this bond over the last year, as we type this, the bond's price is the same now as it was on this same day last year.
Retail Sales Rock to New Highs
At the headline level, July's Retail Sales report disappointed as the reading missed expectations by nearly a full percentage point. Just as soon as the report was released, we saw a number of stories pounce on the disappointment as a sign that the economy was losing steam. Looked at in more detail, though, the July report wasn't all that bad. While the headline reading rose less than expected (1.2% vs 2.1%), Ex Autos and Ex Autos and Gas, the results were much better than expected. Not only that, but June's original readings were all revised higher by around a full percentage point.
Besides the fact that this month's report was better underneath the surface and June's reading was revised higher, it was also notable as the seasonally-adjusted annualized rate of sales in July hit a new record high. After the last record high back in January, only five months passed until American consumers were back to their pre-Covid spending ways. For the sake of comparison, back during the Financial Crisis, 40 months passed between the original high in Retail Sales in November 2007 and the next record high in April 2011. 5 months versus 40? Never underestimate the power of the US consumer!
While the monthly pace of retail sales is back at all-time highs, the characteristics behind the total level of sales have changed markedly in the post COVID world. In our just released B.I.G. Tips report we looked at these changing dynamics to highlight the groups that have been the biggest winners and losers from the shifts.
100 Days of Gains
Today marked 100 trading days since the Nasdaq 100's March 20th COVID Crash closing low. Below is a chart showing the rolling 100-trading day percentage change of the Nasdaq 100 since 1985. The 59.8% gain over the last 100 trading days ranks as the 3rd strongest run on record. The only two stronger 100-day rallies ended in January 1999 and March 2000.
While the Nasdaq 100 bottomed on Friday, March 20th, the S&P 500 bottomed the following Monday (3/23). This means tomorrow will mark 100 trading days since the S&P 500's COVID Crash closing low. Right now the rolling 100-day percentage change for the S&P 500 sits at +46.7%. But if the S&P manages to trade at current levels tomorrow, the 100-day gain will jump above 50%. It has been 87 years (1933) since we've seen a 100-day gain of more than 50%!
B.I.G. Tips - New Highs In Sight
Whether you want to look at it from the perspective of closing prices or intraday levels, the S&P 500 is doing what just about everybody thought would be impossible less than five months ago - approaching record highs. Relative to its closing high of 3,386.15, the S&P 500 is just 0.27% lower, while it's within half of a percent from its record intraday high of 3,393.52. Through today, the S&P 500 has gone 120 trading days without a record high, and as shown in the chart below, the current streak is barely even visible when viewed in the perspective of all streaks since 1928. Even if we zoom in on just the last five years, the current streak of 120 trading days only ranks as the fourth-longest streak without a new high.
While the S&P 500's 120-trading day streak without a new high isn't extreme by historical standards, the turnaround off the lows has been extraordinary. In the S&P 500's history, there have been ten prior declines of at least 20% from a record closing high. Of those ten prior periods, the shortest gap between the original record high and the next one was 309 trading days, and the shortest gap between highs that had a pullback of at least 30% was 484 tradings days (or more than four times the current gap of 120 trading days). For all ten streaks without a record high, the median drought was 680 trading days.
Whenever the S&P 500 does take out its 2/19 high, the question is whether the new high represents a breakout where the S&P 500 keeps rallying into evergreen territory, or does it run out of gas after finally reaching a new milestone? To shed some light on this question, we looked at the S&P 500's performance following each prior streak of similar duration without a new high.
STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending August 14th, 2020
([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)
NOTABLE TICKERS REMOVED DUE TO STOCKS AUTO MOD
(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)
Wednesday 8.19.20 Before Market Open:
Wednesday 8.19.20 After Market Close:
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)
Thursday 8.20.20 Before Market Open:
Thursday 8.20.20 After Market Close:
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)
Friday 8.21.20 Before Market Open:
(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)
Friday 8.21.20 After Market Close:
Walmart Inc. $132.60
Walmart Inc. (WMT) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, August 18, 2020. The consensus earnings estimate is $1.20 per share on revenue of $134.28 billion and the Earnings Whisper ® number is $1.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.51% with revenue increasing by 2.99%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 9.9% above its 200 day moving average of $120.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, August 11, 2020 there was some notable buying of 12,381 contracts of the $135.00 put expiring on Friday, August 21, 2020. Option traders are pricing in a 4.9% move on earnings and the stock has averaged a 2.3% move in recent quarters.
NVIDIA Corp. $462.56
NVIDIA Corp. (NVDA) is confirmed to report earnings at approximately 4:20 PM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $1.95 per share on revenue of $3.65 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $1.83 to $2.06 per share. Consensus estimates are for year-over-year earnings growth of 65.25% with revenue increasing by 41.53%. The stock has drifted higher by 31.0% from its open following the earnings release to be 57.7% above its 200 day moving average of $293.24. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 3,787 contracts of the $460.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 7.7% move on earnings and the stock has averaged a 4.0% move in recent quarters.
Alibaba Group Holding Ltd. $253.97
Alibaba Group Holding Ltd. (BABA) is confirmed to report earnings at approximately 7:10 AM ET on Thursday, August 20, 2020. The consensus earnings estimate is $1.99 per share on revenue of $21.13 billion and the Earnings Whisper ® number is $2.11 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.74% with revenue increasing by 26.22%. Short interest has increased by 30.1% since the company's last earnings release while the stock has drifted higher by 25.0% from its open following the earnings release to be 20.0% above its 200 day moving average of $211.59. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, August 7, 2020 there was some notable buying of 12,935 contracts of the $300.00 call expiring on Friday, November 20, 2020. Option traders are pricing in a 6.2% move on earnings and the stock has averaged a 3.1% move in recent quarters.
JD.com, Inc. $62.06
JD.com, Inc. (JD) is confirmed to report earnings at approximately 5:50 AM ET on Monday, August 17, 2020. The consensus earnings estimate is $0.38 per share on revenue of $26.98 billion and the Earnings Whisper ® number is $0.46 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 52.00% with revenue increasing by 23.25%. Short interest has increased by 16.7% since the company's last earnings release while the stock has drifted higher by 24.1% from its open following the earnings release to be 36.9% above its 200 day moving average of $45.34. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 12,799 contracts of the $62.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 8.0% move on earnings and the stock has averaged a 6.4% move in recent quarters.
Home Depot, Inc. $280.55
Home Depot, Inc. (HD) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, August 18, 2020. The consensus earnings estimate is $3.71 per share on revenue of $31.67 billion and the Earnings Whisper ® number is $3.75 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 17.03% with revenue increasing by 2.69%. Short interest has decreased by 39.8% since the company's last earnings release while the stock has drifted higher by 16.7% from its open following the earnings release to be 22.4% above its 200 day moving average of $229.20. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 3,323 contracts of the $300.00 call expiring on Friday, August 28, 2020. Option traders are pricing in a 4.2% move on earnings and the stock has averaged a 2.5% move in recent quarters.
Lowe's Companies, Inc. $154.34
Lowe's Companies, Inc. (LOW) is confirmed to report earnings at approximately 6:00 AM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $2.93 per share on revenue of $21.29 billion and the Earnings Whisper ® number is $2.97 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 36.28% with revenue increasing by 1.42%. Short interest has decreased by 19.2% since the company's last earnings release while the stock has drifted higher by 25.9% from its open following the earnings release to be 31.2% above its 200 day moving average of $117.67. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 7, 2020 there was some notable buying of 1,994 contracts of the $170.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 6.0% move on earnings and the stock has averaged a 5.8% move in recent quarters.
Target Corp. $136.53
Target Corp. (TGT) is confirmed to report earnings at approximately 6:30 AM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $1.56 per share on revenue of $19.30 billion and the Earnings Whisper ® number is $1.64 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 14.29% with revenue increasing by 4.77%. Short interest has decreased by 36.8% since the company's last earnings release while the stock has drifted higher by 10.0% from its open following the earnings release to be 18.0% above its 200 day moving average of $115.73. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, August 10, 2020 there was some notable buying of 4,479 contracts of the $135.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 6.3% move on earnings and the stock has averaged a 7.7% move in recent quarters.
Sea Limited $126.50
Sea Limited (SE) is confirmed to report earnings at approximately 6:30 AM ET on Tuesday, August 18, 2020. The consensus estimate is for a loss of $0.47 per share on revenue of $1.03 billion and the Earnings Whisper ® number is ($0.36) per share. Investor sentiment going into the company's earnings release has 74% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 34.29% with revenue increasing by 136.16%. Short interest has decreased by 8.5% since the company's last earnings release while the stock has drifted higher by 91.7% from its open following the earnings release to be 98.1% above its 200 day moving average of $63.87. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, August 4, 2020 there was some notable buying of 4,000 contracts of the $110.00 put expiring on Friday, January 15, 2021. Option traders are pricing in a 12.9% move on earnings and the stock has averaged a 16.7% move in recent quarters.
Niu Technologies $20.82
Niu Technologies (NIU) is confirmed to report earnings at approximately 3:00 AM ET on Monday, August 17, 2020. The consensus earnings estimate is $0.07 per share on revenue of $88.07 million and the Earnings Whisper ® number is $0.11 per share. Investor sentiment going into the company's earnings release has 57% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 30.00% with revenue increasing by 13.97%. Short interest has increased by 18.9% since the company's last earnings release while the stock has drifted higher by 129.8% from its open following the earnings release to be 90.3% above its 200 day moving average of $10.94. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 3.7% move on earnings in recent quarters.
BJ's Wholesale Club, Inc. $41.48
BJ's Wholesale Club, Inc. (BJ) is confirmed to report earnings at approximately 6:45 AM ET on Thursday, August 20, 2020. The consensus earnings estimate is $0.57 per share on revenue of $3.64 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 46.15% with revenue increasing by 8.79%. Short interest has decreased by 3.2% since the company's last earnings release while the stock has drifted higher by 33.8% from its open following the earnings release to be 46.7% above its 200 day moving average of $28.27. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, August 12, 2020 there was some notable buying of 2,119 contracts of the $50.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 12.4% move on earnings and the stock has averaged a 10.0% move in recent quarters.
I hope you all have a wonderful weekend and a great trading week ahead stocks.
submitted by bigbear0083 to stocks [link] [comments]
HonestT Survey Results!
We had 221 responses, which is about 7% of our user base (~3100). In total, that gives us a 6.35% margin of error at 95% confidence. Which is to say, the results aren't super scientific so take it with a grain of salt lol. I'm sure we have some biases in that more active members of this sub were more likely to respond, etc. so this is more of an informal fun thing than science.
You can view a pretty version of the results with all the data here. It'll break it down with charts and it's very pretty to look at. Since Google did all the hard work for me there, I'm just going to let y'all look at that and talk about some of the more interesting things here.
Some highlights of the data:
We're a bit more evenly split in terms of gender than many trans subs on reddit, but trans women still make a plurality of the population with 45%, trans men at 38%, non-binary folk at 10%, and other people making up the remaining 7%
A plurality of us are bisexual/pansexual at 43%, which is pretty neat. I know personally, transitioning did some weird stuff to my sexuality (ace to bi) so it'd be neat to see next year if other people also had their sexuality change during transition. Also I love that 13% chose "it's complicated"
About 2/3rds of us are on HRT, and about half of us are living life as our identified gender
Only about 1/4th of us don't see stealth as being the goal of our transition
43% of us identify with the label socialist, so we're all a bunch of lefties lol. But we still had 2 people identify with being "far-right," which means we truly live in a society
We don't tend to like traaaaaa or egg_irl (hardly shocking), but we have a fairly normalized distribution for other subs. We're also all a bunch of loners with no irl connections to the trans community apparently (73%), but we want to be more involved in general. Kinda hard rn with covid though :/
We generally align with the mainstream trans community in terms of our stances on controversial issues. We tend to agree that trans athletes should be able to compete in athletics, that minors should be able to start medical transition, that [email protected] is a slur (who knew how relevant that question would become now on reddit lol), that it was a good move from reddit to ban GC spaces (this was the most unanimous), that trans people aren't seen as "cool" in our cultures, that we don't look down on people who don't pass, that we feel bad for detransitioners, and that the term transgender is preferable to transsexual
We deviated from the mainstream trans community a bit on a couple responses. We leaned towards thinking that trans spaces are over-sexualized rather than being sex-positive. We had 31% of people strongly disagree with using neopronouns, but it was a very even distribution across the rest of the reponses (15-18% for each other option). We tended to thing that "doomposting" and "hugboxing" were issues in the trans community. About 1/3rd of us strongly agreed that dysphoria is required to be trans. We also weren't terribly proud to be trans, and we thought that cancel culture was an issue in the community
Any thoughts or surprises? Feel free to discuss below!
submitted by lily_of_the_ditch to honesttransgender [link] [comments]
Feature Requests for Tutanota
This is just an aggregate post with some feature requests I wanted to put out there. Some are petty, but they're just my very subjective suggestions. Sorry that it's a bit long. ^-^'
I think it'd be nice as an organization administrator, to be able to define custom signatures, or signatures templates that can appear in the dropdown list of users in the organization.
For example, as the admin, I could add custom signature template which standardizes how users have their name, position, and contact information in the bottom of emails, or alternatively, a signature that includes a link to our pages like GitLab, Mastodon, and Matrix.
It would be even better if the administrator can also choose the default signature for any users in the organization.
Where Tutanota instructs us on the records to add to our DNS; I think it would be more friendly to put an (i) next to each record with an explanation on why the record is required and what it does. I'm unsure if I should've been aware of MTA-STS for example, but I had never heard of the term. I appreciate there is a dedicated page which provides some information, but putting this in the app instead would be much more intuitive and quicker to access on demand.
Tutanota should allow a list of trusted media sources. Currently, Tutanota blocks all images from all emails by default, including emails where the images have been displayed before. Clients like Thunderbird do this also by default, but also allow exceptions to be configured for example by sender address, by sender domain, or by resource location.
I'd like to be able to click the image icon, but instead of the dialog appearing, have a dropdown instead with options like:
Automatic image loading has been blocked to protect your privacy. * Unblock just this once. * Always unblock for emails sent from this user. * Always unblock for emails send from this domain. * Always unblock for the following resource locations: xyz.com, xyz.art, xyz.org
As an administrator of an organization, I'd like to get a visual representation of the storage consumed by users. We're capable of seeing the total storage used, and the total storage used by users one at a time. It'd be more useful to get a pie chart that shows all users at once. It would be even better if the pie chart could have nested data to show where storage consumed is centralized in the archive that could be deleted to save up space. This is especially useful for redundant emails with binary files lost in archived emails.
Currently, when looking in the Subscription settings, the "Storage Capacity" section can show the total used storage in different units, for example: "110.3 KB used of 1 GB". This can be tedious to read as usually, it's nicer to have relative figures, or a percentage. I think it would be much better if it displayed as "0.0001 GB used of 1 GB", or alternatively "0.01103% of storage used", or even both. This suggestion is only for using the same unit, or percentile. I don't know the right number of decimal places or significant figures for optimal UI/UX.
submitted by SethsUtopia to tutanota [link] [comments]
How to deploy Angular 2 application on AWS? Need help regarding CI/CD and scaling
Hi guys, I am developing internal system for my organisation on Angular 9.0.6. This is currently deployed on Lambda function via serverless. But this setup has multiple problems that I am facing currently:
1st - CI/CD setup: Our repository is hosted on Gitlab. I was trying to use Gitlab CI tool to deploy my code to staging/production. But it gets stuck at
Serverless: Excluding development dependencies...
This stage takes almost 45 minutes of build time and then times out. My package exclusion in serverless.yml:
package: exclude: \- src/\*\* \- node\_modules/\*\* \- firebug-lite/\*\* \- e2e/\*\* \- coverage/\*\* \- '!node\_modules/aws-serverless-express/\*\*' \- '!node\_modules/binary-case/\*\*' \- '!node\_modules/type-is/\*\*' \- '!node\_modules/media-type\*\*' \- '!node\_modules/mime-types/\*\*' \- '!node\_modules/mime-db/\*\*'
Where am I going wrong? Should I be looking at AWS CodeBuild or any other tool?
PS: I also evaluated Jenkins as an option, but the entire JAVA backend microservices are getting deployed via Gitlab CI so a Jenkins setup won't add much value.
2nd - Upgrading Angular version:
The other problem is that when I upgrade my code via angular-cli or otherwise also, Lambda function is returning 502 on the main chunk. It is loading all supporting bundles (eg, vendor.js, polyfills.js) correctly. I tried checking my CloudWatch logs with enhanced monitoring enabled. But there is no error corresponding to this.
Everything is working fine and compiling without issues on local server with and without AOT and production build flags.
Anyone having faced a similar issue to this?
I encountered same issue when adding ckeditockeditor5-angular library in my package.
My package dependencies are:
"dependencies": { "@angulaanimations": "~9.0.6", "@angulacdk": "~9.1.3", "@angulacommon": "~9.0.6", "@angulacompiler": "~9.0.6", "@angulacore": "~9.0.6", "@angulaforms": "~9.0.6", "@angulamaterial": "^9.1.3", "@angulaplatform-browser": "~9.0.6", "@angulaplatform-browser-dynamic": "~9.0.6", "@angularouter": "~9.0.6", "@angulaservice-worker": "~9.0.6", "@ckeditockeditor5-angular": "^1.2.3", "@ckeditockeditor5-build-classic": "^22.0.0", "@fullstory/browser": "^1.4.3", "@ng-toolkit/serverless": "^8.1.0", "@sentry/browser": "^5.12.1", "@sentry/fullstory": "^1.1.2", "@swimlane/ngx-charts": "^13.0.2", "@zxing/ngx-scanner": "^3.0.0", "apollo-angular": "^1.8.0", "apollo-angular-link-http": "^1.9.0", "apollo-cache-inmemory": "^1.6.0", "apollo-client": "^2.6.0", "apollo-link": "^1.2.11", "apollo-link-context": "^1.0.20", "apollo-link-error": "^1.1.13", "apollo-link-ws": "^1.0.19", "apollo-utilities": "^1.3.3", "aws-serverless-express": "^3.3.6", "bootstrap": "^4.4.1", "cors": "^2.8.5", "dexie": "^3.0.2", "graphql": "^14.5.0", "graphql-tag": "^2.10.0", "jwt-decode": "^2.2.0", "moment": "^2.25.1", "ng2-pdfjs-viewer": "^5.0.5", "ngx-device-detector": "^1.3.20", "ngx-kjua": "^1.7.0", "ngx-mat-daterange-picker": "^1.1.4", "rxjs": "~6.5.4", "serverless-api-compression": "^1.0.1", "subscriptions-transport-ws": "^0.9.16", "tslib": "^1.10.0", "zone.js": "~0.10.2" }, "devDependencies": { "@angular-devkit/build-angular": "~0.900.6", "@angulacli": "^9.0.6", "@angulacompiler-cli": "~9.0.6", "@angulalanguage-service": "~9.0.6", "@types/jasmine": "~3.3.8", "@types/jasminewd2": "~2.0.3", "@types/node": "^8.10.59", "codelyzer": "^5.0.0", "jasmine-core": "~3.4.0", "jasmine-spec-reporter": "~4.2.1", "karma": "^4.4.1", "karma-chrome-launcher": "~2.2.0", "karma-coverage-istanbul-reporter": "~2.0.1", "karma-jasmine": "~2.0.1", "karma-jasmine-html-reporter": "^1.4.0", "opencollective": "^1.0.3", "protractor": "~5.4.0", "serverless": "^1.60.0", "serverless-apigw-binary": "^0.4.4", "ts-loader": "^6.2.1", "ts-node": "~7.0.0", "tslint": "~5.15.0", "typescript": "~3.7.5", "webpack-cli": "^3.3.10" }
I don't have much experience in Lambda setups. Any specific place where I should be looking at to debug this issue?
submitted by shreeshkatyayan to Angular2 [link] [comments]
r/pharmacy 2020 demographics survey results!
The pharmacy 2020 demographics survey results are here! There were 258 respondents this year. Please note that the numbers will not necessarily add up to 100%, since all questions were optional. Sorry in advance for the crappy Excel graphs.
Most respondents hailed from the US (233; 90.3%), followed by Canada (10; 3.9%), United Kingdom (8; 3.1%), New Zealand (2; 0.8%), and 1 respondent each from Australia, Indonesia, Slovakia, Sweden, and Taiwan.
Of the 233 Americans, the top 3 states were California (20; 8.6%), Pennsylvania (18; 7.7%), and Texas (18; 7.7%).
The 10 Canadians were from Ontario (5; 50%), British Columbia (2; 20%), Alberta (1; 10%), Nova Scotia (1; 10%), and Quebec (1; 10%).
Of the 258 respondents, 130 (50.4%) identified as female, 123 (47.7%) as male, and 3 (1.2%) as non-binary.
Age distribution is shown in the below table. A few statistics: minimum 19, maximum 68, mean 29.0, median 28, mode 26.
https://preview.redd.it/qxyxs2sj09c51.png?width=554&format=png&auto=webp&s=202bef88a53fa8596182435590ba9de8eb3646c9
In terms of race/ethnicity, the categories from most to least common were as follows: white (156; 60.5%), Asian (55; 21.3%), 2 or more races (11; 4.3%), black (9; 3.5%), Hispanic or Latino (8; 3.1%), Indian subcontinent (6; 2.3%), Arab (4; 1.6%), Native American or American Indian (2; 0.8%), and Armenian (1; 0.4%).
General employment questions
Of the 258 respondents, 169 (65.5%) were pharmacists, 55 (21.3%) were pharmacy students, 22 (8.5%) were non-pharmacist staff, and 8 (3.1%) were pre-pharmacy students. There were also 1 each of the following: corporate pharmacy compliance, pharmacy wholesaler, pharmacology student, and other healthcare professional.
Most respondents (169; 65.5%) were employed full time (defined as > 30 hours/week), while 19 (7.4%) were employed part time. 49 respondents (19.0%) were full time students (not necessarily in pharmacy), 13 (5.0%) were unemployed, 4 (1.6%) worked outside of the field of pharmacy, 2 (0.8%) were self-employed, 1 (0.4%) was retired, and 1 (0.4%) was consulting/contracting.
There was a nearly equal split between respondents working in suburban (99; 38.4%) vs. urban (97; 37.6%) locations, followed by 21 (8.1%) in rural locations and 15 (5.8%) working remotely (apologies - I should have made this question/response more clear, but based on a jump compared to last year's survey, I think people working from home temporarily due to COVID-19 may have chosen this option).
A pie chart of primary place of employment is shown below, with the top 7 responses shown in the legend: community/retail (136; 52.7%), hospital including outpatient (48; 18.6%), pharmaceutical industry including CROs (11; 4.3%), mail ordespecialty/home infusion (9; 3.5%), unemployed (8; 3.1%), long-term care/hospice (8; 3.1%), and ambulatory care (5; 1.9%). Please note that the unemployed category includes non-working full time students.
https://preview.redd.it/csyipt0hs9c51.png?width=297&format=png&auto=webp&s=3b91337feb634a61730ccfbdd09aa8a0fdda6d7a
A small proportion (42; 16.3%) of respondents reported having a second job. Of these, the most common fields of employment were: hospital including outpatient (10; 23.8%), community/retail (8; 19.0%), and self employment/side hustle (7; 16.7%).
For the following charts, I only included those working full time. Below is a histogram for full time pharmacist salary worldwide, as well as a table showing some stats for global, US, and ex-US salaries.
https://preview.redd.it/n16j31x1v9c51.png?width=447&format=png&auto=webp&s=624581f5b94c917c417ac39da92cf9eb4c77130c
Global (139 responses)
US (130 responses)
Ex-US (9 responses)
Minimum $11,000 $11,000 $43,050
Maximum $300,000 $300,000 $230,000
Mean $116,284 $118,909 $78,375
Median $120,000 $120,961 $63,000
Below is the histogram for full time non-pharmacist staff worldwide. There was only 1 ex-US respondent, so I didn't separate out the stats. Here they are: minimum $15,000; maximum $72,000; mean $37,767; median $37,000.
https://preview.redd.it/q2w4f7t5y9c51.png?width=384&format=png&auto=webp&s=300c4992413830cb45befa7ffa9e24e9d5c2370d
Community/retail pharmacy
The pie chart shown below shows the breakdown of pharmacy type for the 136 respondents working in community/retail pharmacy. I'm not exactly sure what Genoa means, so I left that one as is.
https://preview.redd.it/begscv9fz9c51.png?width=288&format=png&auto=webp&s=c22e8ba0797ef1829bb9f0b30db9351b059a3264
Roles within community/retail pharmacy are displayed below.
https://preview.redd.it/l6l3w94zz9c51.png?width=265&format=png&auto=webp&s=ff10c40fd56bc3334762c06a5e6dc4e61a1004d8
The pie chart below displays responses regarding the impact of COVID-19 on hours/salary.
https://preview.redd.it/ugvcv06fbac51.png?width=276&format=png&auto=webp&s=60e055f753ed52c69220fb00e8ef817672804ebd
Hospital pharmacy (including outpatient)
There were 48 respondents working in hospital pharmacy. Bed count at their institutions is shown in the graph below.
https://preview.redd.it/1mv5r0ne1ac51.png?width=382&format=png&auto=webp&s=f46fa5df7be0c5b7d24603a218043fe4cb92f1bd
Roles within hospital pharmacy are displayed below.
https://preview.redd.it/4a3xewk72ac51.png?width=280&format=png&auto=webp&s=9d9a2dbd99882673300ad51e43808d90eb35d8a4
Of the 38 hospital pharmacists, 13 (34.2%) had completed a residency, and 5 (13.2%) were currently completing a residency. The remainder (20; 52.6%) were not pursuing nor had ever completed a residency.
The top 3 clinical specialties were ambulatory care, emergency medicine, and oncology (3 respondents each). Note that it was possible to choose more than 1 specialty.
https://preview.redd.it/b9pj5l3sbac51.png?width=278&format=png&auto=webp&s=b0478e7ea600140253b9dc53066210412967d4cd
Pharmaceutical industry (including CROs)
Eleven respondents (4.3%) reported working in the pharmaceutical industry. The breakdown by department is shown in the table below.
Number of Respondents
Drug Safety and Risk Management/Pharmacovigilance 2
Medical Communications/Education/Information 2
Regulatory Affairs 2
Clinical Pharmacology/Pharmacokinetics 1
Clinical Research & Development (including Clinical Operations) 1
Formulation 1
Marketing/Business Analytics 1
Medical Science Liaison 1
The breakdown by level was as follows: PharmD Fellow (3; 27.3%), Associate/Specialist (6; 54.5%), ManageSupervisor (1; 9.1%), Director (1; 9.1%). Five respondents had completed or were currently completing a fellowship. Four of these 5 provided their salaries during their fellowships, with an average of $50,000.
Pharmacy and pre-pharmacy students
There were 63 respondents (24.4%) who reported being pharmacy or pre-pharmacy students. Of these, the top 3 desired fields upon graduation were: hospital including residencies (16; 25.4%), undecided (13; 20.6%), and community/retail (11; 17.5%).
These 63 students attended (or planned to attend) 45 different schools worldwide. The 5 most common schools reported were as follows: University of Toronto (3; 4.8%), Feik School of Pharmacy (2; 3.2%), Ohio State University (2; 3.2%), Temple University (2; 3.2%), and University of Colorado (2; 3.2%).
The breakdown by year was as follows: undergraduate/pre-pharmacy (8; 12.7%), PY1 (4; 6.3%), PY2 (18; 28.6%), PY3 (16; 25.4%), and PY4 (13; 20.6%). Of the 13 PY4 students, 2 reported having a job lined up after graduation, both in community/retail.
Most students (45; 71.4%) were working in a pharmacy setting while in school. Stats for the number of hours worked weekly were as follows: minimum 3; maximum 34; mean 15.8; median 15. The most common duties interns were authorized to perform at their jobs were counseling patients (38; 84.4%), administering immunizations (24; 53.3%), and product verification (17; 37.8%). Note that interns could choose more than 1 option.
Of the 63 students, 36 (57.1%) reported that they would choose to attend pharmacy school again if they could go back in time, knowing what they know now. Sixteen students (25.4%) reported that they would decide on a different career path, and 5 (7.9%) were unsure.
Following pharmacy school, some students were considering pursuing the following degrees (top 3 listed): MPH (6; 9.5%), MD (4; 6.3%), and MBA (3; 4.8%).
Results from additional questions are shown in chart form below.
https://preview.redd.it/mls7e2139ac51.png?width=480&format=png&auto=webp&s=5db3ec80fd6e1934c787941278b7b755ad802a45
https://preview.redd.it/p9p44ifm9ac51.png?width=480&format=png&auto=webp&s=faf04b54ed228cc0cf110d06ed27bfd524ba894f
https://preview.redd.it/8p7qq205aac51.png?width=464&format=png&auto=webp&s=ae5d53c284cd86ff787498dad58c4d625ae2afb1
There were 169 pharmacists, from 91 different pharmacy schools. The most common alma maters were Rutgers University Ernest Mario School of Pharmacy (RU RAH RAH!!) with 6 respondents (3.6%), University of Pittsburgh with 5 respondents (3.0%), and the following 5 schools with 4 respondents each: Northeastern University, Ohio Northern University, University of Colorado, University of Georgia, and University of Kansas.
Most pharmacists (152; 89.9%) were currently practicing pharmacy. Five (3.0%) had practiced in the past but were no longer practicing, and 10 (5.9%) had never practiced after graduating. Of those currently practicing pharmacy, the statistics on the number of years in practice were as follows: minimum 0.1; maximum 35; mean 4.8; and median 3.
Nearly half of pharmacists (75; 49.3%) said they would choose a different career path if they could go back in time, knowing what they know now, while 71 pharmacists (46.7%) said they would still choose to pursue pharmacy.
Local practice standards
About half of pharmacists (84; 55.3%) reported administering (or being allowed to administer) many types of immunizations, while 3 (2.0%) reported that pharmacists were not allowed in their location. A further 63 pharmacists (41.4%) did not administer immunizations simply because it was not part of their job description (eg, hospital inpatient).
Regarding therapeutic interchange for non-controlled prescriptions, 63 pharmacists (41.4%) reporting being authorized to update a prescription only after consulting the prescriber. An additional 43 pharmacists (28.3%) were allowed to update a prescription as long as the prescriber was notified afterwards (ie, without prior permission), and 8 pharmacists (5.3%) were allowed per institutional protocol or collaborative practice agreement. Twenty-four pharmacists (15.8%) reported that a new prescription would be required and that no updates by the pharmacist were allowed.
For controlled prescriptions, 24 pharmacists (15.8%) reported being allowed to change any/all elements of the prescription following consultation with the prescriber, and 4 pharmacists (2.6%) were allowed per institutional protocol or collaborative practice agreement. Sixty-six pharmacists (43.4%) were allowed to change certain (but not all) elements, while 40 (26.3%) could not change any part of a controlled prescription and required the prescriber to issue a new one.
Regarding pharmacist prescribing, most pharmacists (110; 72.4%) were not allowed to prescribe medications. Nineteen pharmacists (12.5%) could prescribe for certain health conditions, 3 (2.0%) could prescribe for any health condition, and 2 (1.3%) could prescribe per institutional protocol or collaborative practice agreement.
https://preview.redd.it/9q4wjmmg3bc51.png?width=281&format=png&auto=webp&s=cf2ec43db13f3fcbe4cb398b1c39808389f54572
https://preview.redd.it/945u7beklac51.png?width=480&format=png&auto=webp&s=e74267ca8c2d56dd0c7fc42497df2f0d42f14a3a
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Pharmacy residents
Of the 169 pharmacists, 31 (18.3%) had completed or were currently completing a pharmacy residency. Of those, there were 6 current PGY-1 residents and 1 current PGY-2 resident.
Of the 24 pharmacists who had completed their PGY-1 residencies, most (18; 75%) did rotational programs without a specific focus. The remaining 6 pharmacists specialized in the following areas during their PGY-1: ambulatory care (2; 8.3%), community pharmacy (1; 4.2%), managed care (1; 4.2%), pediatrics (1; 4.2%), and pharmacotherapy (1; 4.2%). Stats on their PGY-1 salaries were as follows: minimum $33,000; maximum $60,000; mean $44,325; median $45,000. These PGY-1 residencies were done primarily in an urban setting (18; 75%), followed by suburban (3; 12.5%) and rural (2; 8.3%).
Of the 11 pharmacists who had completed their PGY-2 residencies, the specialties included: ambulatory care (3; 27.3%), psychiatry (2; 18.2%), and 1 each of administration, critical care, emergency medicine, infectious disease, oncology, and pharmacotherapy (9.1% each). Stats on their PGY-2 salaries were as follows: minimum $35,000; maximum $51,000; mean $45,625; median $46,500. These PGY-2 residencies were done almost equally in urban (6; 54.5%) and suburban (5; 45.5%) settings.
The 6 current PGY-1 residents had the following plans immediately following their PGY-1: inpatient staff pharmacist (2; 33.3%), PGY-2 residency (2; 33.3%), inpatient clinical specialty pharmacist (1; 16.7%), and non-practicing pharmacist (1; 16.7%).
Of those who had completed their residencies, their roles immediately afterward are listed in the table below.
Inpatient staff pharmacist 8
Inpatient clinical specialty pharmacist 6
Ambulatory care pharmacist 4
Outpatient pharmacist (eg, retail, mail order, long term care) 1
Stopped practicing but remained in the field of pharmacy (eg, industry) 1
Industry fellowship 1
Drug information pharmacist 1
Pharmacy organizations
This question was directed toward American respondents. There were 96 respondents who reported being currently active members of an association, the most common of which were ASHP (39; 40.6%), APhA (38; 39.6%), and a local/state pharmacy association (29; 30.2%).
There were 35 respondents who reported previously being members of an association, the most common of which were APhA (25; 71.4%), ASHP (15; 42.9%), and a local/state pharmacy association (13; 37.1%).
Thanks again to everyone who took the survey, and especially those who provided feedback!
I totally acknowledge that the survey is very US-centric, and for that I apologize. I did take some feedback from some people in this subreddit, but if anyone ex-US wants to provide feedback for any future surveys, I'm happy to speak with you offline about it.
The same also goes for anyone in a "niche" field such as long-term care, ambulatory care, managed care, etc. I'm happy to add in new sections or questions for those fields - it's just that I have no idea what to ask, having no experience in those areas.
There are probably a few questions whose answers aren't reflected here mainly because this is long enough already, but if you have any questions (eg, what's the average salary for a hospital pharmacist in a suburban area?), please feel free to ask!
submitted by fleakered to pharmacy [link] [comments]
FOLO Trading
TLDR: FOLO out of $100,500 in potential profit. Learned to let my winners run and BUD trade as example!
Hey all. First of all, I just want to throw out a disclaimer that I am by no mean an experienced, professional trader. In fact, I made my first option trade a little over a year ago and only started to take this seriously about 6 months ago. I recently hit a milestone in my pursuit of trading as a career so I decided that I would share some of the experiences I've gained in hope that maybe someone that's looking to pursue this seriously can take from my limited experience to not make the same mistakes I made. It's been a rough 2020 and hopefully by helping each other we'll pull through this horrible year together.
I don't know how some of you guys are but to me the fear of losing out (FOLO) on a trade that you're in is actually worse than the fear of missing out (FOMO) on a trade that you've missed due to a ridiculous run. The single most haunting FOLO trade I was involved in was during the week that TSLA had its crazy melt up in February 2020.
The TSLA trade:
Robinhood Trading History
Trading Journal TSLA200207C900 Trade Flow
TSLA200207C900 Chart
I woke up to a notification from Robinhood that TSLA made a 10% pre-market run the morning of Monday, February 3, 2020. So the FOMO in me scrambled to login to Robinhood and scrolled through the option chain for a cheap weekly option. Decided on the $900 strike expiring that Friday and bought 10 option contracts at .11 per contract with a net debit of $110. The rest is pretty murky from memory but I remember within a matter of minutes, the option value went up to .29, then .35 then it quickly pulled back to .28 back to .25 and I frantically sold my option contracts for .23 which netted me a $230 credit. I made $120 in a matter of minutes and I was damn proud of myself. I spent the next few hours watching the stock run up and up and up by then I didn't want to get back in because I needed to get ready for work and wouldn't be able to monitor the action to sell it at the "right price". I didn't want to spend more money on another FOLO trade and risk it running back down and losing all the money that I had just made. So I begrudgingly got ready for work that evening. The next day, TSLA ran all the way past $900 to make all time high and I was stuck at work feeling like a dumbass. That option contract in particular ended that Tuesday trading day at 100.5 per contract or in theory I would have made $100,500. In theory and hindsight is always 20/20**.**
What I learned from this trade was that FOLO is real and you'll never be able to sell at the top. In hindsight, I could have just set a GTC sell price and be content with the profit I made or not.
Months later, once I started to take trading more seriously: I listened to podcasts, read all the market wizards books, read the story of Jesse Livermore, watched various trading YouTube channels and compiled all of that experience together to apply them to my trades. The single most pivotal idea that I gathered from all of these experiences was that trading decisions should not be based on a single binary decision to buy or sell but rather it should be framed around the idea of "how do I extract the most value from this particular trade" (Let your winners run). I use this idea every day to help me structure most of my trades that I also track obsessively to help me make decisions that would optimize profit potential while limiting the risk of FOLO. This leads me to the BUD trade
The BUD trade:
TOS BUD Trade History
Trading Journal BUD200918C55 Trade Flow
This is the trade where I applied what I learned to manage the trade from beginning to end. However, at the very end I still managed a fumble and lost out on a potential gain of approximately $3300 had I followed my trading plan.
The opening trade was simple, I was looking for any companies that would benefit most from COVID yet still hadn't recovered like most of the other companies at the time. I chose BUD because of these criterias and the strike price was about what it was trading at prior to COVID. Note: I was still learning and had not really learned to make trading decisions based on the Greeks. The trade was purely speculative along with the strike. However, I did start to track certain data for every at the point the trade is made for future analysis.
Early June most companies had major run ups and BUD was also one of the companies that benefited. Price improvement was up about 14% which consequently led the option prices to rise to about 2.5 - 3. However, I did not want to close out the trade and miss out on subsequent run-ups. I didn't want to just sell half. I wanted to be in the entire trade the entire time without sacrificing too much profit gained. So, I sold the 60 strike to essentially convert my original call to a debit spread while at the same time I was able to collect $2180 which was approximately $630 in profit. This allowed me to stay in the trade and should BUD continue its run I would still have a maximum profit potential of 5000 remaining to collect.
By July BUD was ranging around $53 and so I decided to buy back the September 60 strike and sell the August 55 strike which converted my original trade to a Calendar spread. This allowed me to net an additional $700 in profit.
Mid July, I saw that BUD was still trading under $55 so I decided to sell 5 contracts of Credit Spread to capitalize on the lack of movement. The worst thing that could have happened was that it would skyrocket and I would have lost $600 from the original trade overall. Thankfully, it didn't and I was able to buy the credit spread back for $10. Which yielded an additional $150 in profit.
Finally by the expiration date BUD was trading around $55 and I had to close out the trade or risk assignment on my short strike in August. I waited the entire day and frantically sold the calendar spread to essentially close out the entire trade which yielded an additional $1700.
Where I messed up was that I should have bought back the August 55 short strike and sold the September 60 strike for a small $150 additional profit. This would have converted the trade back to a 55/60 debit spread. In addition, this would have allowed me to remain in the trade for at least a couple of more weeks in case of a run up and I would still be able to collect the full remaining $5000. Last I checked, the debit spread would have sold for $3.75 which would have yielded $3750 instead of the $1700 from closing the trade as a calendar spread.
Another step for those that really want to stay til the end is to convert the debit spread into a credit spread to gain a larger profit if you believe that BUD will pull back under $60.
So, hopefully my experience helps those that are still learning to trade like I am. I know trading isn't easy and it's all fun and game when we see people post massive gains on their YOLO trades. Just remember, for every trade with massive gains, there's someone on the other side experiencing the same frustration for his/her massive losses. Good luck, everyone.
submitted by I_Chart_For_Fun to wallstreetbets [link] [comments]
SNAP preview, expected move and spread strike selection
Snap (SNAP) reports q2 earnings after the close Tuesday (~4:10pm)
Options are pricing an expected move of 12% by this Friday. That is the bulk of the move expected over the next month, which is about 15%.
Snap closed higher by about 36% in the day following its most recent earnings (in April)
Snap has beaten consensus estimates 7 out of the last 8 times.
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Neutral - The first thing to look at is a neutral position, selling to both the bulls and the bears. Here are two neutral trades setting breakevens at or near the expected move. First selling the +21.5/-22.5/-28/+29 Iron Condor (condor chart)
In this case the risk reward is $56 to make $44. If the stock closes anywhere between 22.5 and 28 on Friday it is a max gain. Any close beyond 21.5 or 29 and a max loss. The breakeven is 22.06 on the downside and 28.44 on the upside.
That trade establishes a range of max profit, for those targeting no move at all, with the stock remaining at 25 selling an Iron Butterfly has max profit at the 25 level with profits trailing off towards the expected move and losses beyond: Fly chart
Both of these trades are binary, isolating this week and what is likely to be a mostly one day move tomorrow.
Bullish - For those thinking directionally the expected move can be used to help determine strike selection. Here's a bullish price target looking out a bit further in time, to August expiration: Trade comparison.
In this case both the August long call spread (+25/-29) and the August short put spread (-25/+21) take advantage of multi leg strike selection based on the expected move. The short put spread is "selling to the bears" and is profitable from 22.57 and higher with a max gain if the stock is above 25 on August expiration. The long call spread has a higher breakeven, but by selling the 29 call at a high upside volatility, is much cheaper than an outright 25 call.
Bearish - The same is true for a bearish target in line with the expected move but the short call spread is at a slight disadvantage due to having to buy the upside call at a similar or higher IV than the at the money call sale: Trade comparison
Full post here.
submitted by cclagator to options [link] [comments]
Good Saturday morning to all of you here on smallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Rocket Reversals
Over the last few days, we've been seeing a moderate rotation in the market as red-hot growth stocks sell-off and investors shift into other areas of the market that have been lagging. To highlight this, the table below highlights 24 companies in the Russell 3,000 with market caps of more than $1 billion that traded at a 52-week high within the last month but are currently down more than 20% from that high. The vast majority of these stocks are names that investors haven't been able to get enough of in 2020 but now appear to have had their fill.
Topping the list of these reversals is Eastman Kodak (KODK). On 7/29, the stock surged to a 52-week high of $60.00 after being awarded a questionable government contract to domestically produce components for prescription drugs. With the SEC and government agency that originally awarded the contract now looking into stock option awards at the company just before it was announced, the stock has pulled back sharply and is now down over 80% from its high less than two weeks ago.
While KODK is more of a unique example, other names on the list are primarily growth or health care stocks that have benefited from the COVID outbreak. However, now that signs suggest the summer wave in the south has crested, investors appear to be taking some profits. Shares of Vaxart (VXRT) hit a high of $17.49 on July 14th but have since lost nearly half of their value and trade back in the single-digits. Additionally, Bloom Energy (BE), 1Life Healthcare (ONEM), and Bioxcel Therapeutics (BTAI) have all lost more than a third of their value.
In terms of market cap, most of the names listed are on the small side, but Tesla (TSLA) is a notable exception as it is now just over 20% below its 52-week high on 7/13. Other relatively large companies on the list include Moderna (MRNA), Citrix Systems (CTXS), Teladoc (TDOC), and Livongo (LVGO). TDOC and LVGO both hit all-time highs last week but after announcing a mostly stock merger last Wednesday, both have lost nearly a quarter of their value.
While all of the stocks listed below have seen sharp pullbacks in the last several days, a little perspective is in order. Of the 24 names listed, the average YTD change even after the declines has been a gain of 219.7% (median: +94.6%). Only two of the stocks shown (New Relic- NEWR and Sonos- SONO) are down YTD, and half of them have at least doubled and in many cases much more.
$WMT
$NVDA
$BABA
$JD
$HD
$LOW
$TGT
$SE
$NIU
$BJ
$AAP
$DLPN
$TJX
$ADI
$DE
$FL
$KSS
$DQ
$PDD
$GDS
$ECC
$BEST
$CTK
$EL
$VIPS
$SNPS
$A
$ROST
$QIWI
$LB
$LX
$AMCR
$CMCM
$LZB
$OPRA
$KEYS
$CREE
$GAN
$BZUN
$JKHY
$FN
$MLCO
$KC
$FUV
$SQM
I hope you all have a wonderful weekend and a great trading week ahead smallstreetbets.
submitted by bigbear0083 to smallstreetbets [link] [comments]
Types of Binary Options Charts. Basically, charts are a graphical representation of an asset's performance during a predefined period of time. This definition doesn't apply only to Binary Options charts, but to all financial charts that track an asset's movement. NEW! Track Equity Options on your Watchlist and Portfolio. Equity options can now be added to your Watchlist or Portfolio using the "Links" column on the Options Screeners, Options Quote pages, and other data tables in the Options section, including the Unusual Options Activity page. Watch this short tutorial for more information. Analyse the financial markets using beautiful visualisations and unique trading tools, powered by a fast and intuitive interface. Different Types of Charts for Binary Options Trading When you start trading binary options, there are several types of charts you will see most often. Each type of binary options chart has advantages and disadvantages, and once you understand the differences you'll likely find that one type appeals to you and your trading methods. Binary options charts show the movement of assets over time. They are useful tools to help you predict how currencies, commodities, stocks and indices will move in future. There are different types of charts – tick, line and candlestick – tick and line are generally used for simple trades.
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The Fair Work Commission has announced the Australian minimum wage will be increased by 2.5% starting 1st July 2015. The 1.86 million lowest paid workers will get a $16 a week pay rise.
Tanda used its own labour cost reporting system to measure the expected effects this will have on local businesses and found startling results.
If businesses are incapable of raising profit and pricing margins to keep level with the expenses of the wage increase, they will be forced to lay off staff.
"We're now looking at ways to utilise Tanda's labour reporting systems to help businesses understand the impact on their bottom line," Mr Ghiculescu says.
Tanda wants to focus on finding a way to make the minimum wage fair for all Australians while keeping Australian businesses strong.


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