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# /r/Peloton Pre-TDF Survey 2020

Gentlemen, Ladies and those otherwise addressed - we know you've been waiting for a good thing, and the survey results are finally ready!
The answers were collected from you all during August 2020 with 1428 unique replies. That's a participation of 0.5% of all subscribers! That's really not too bad, when you keep in mind how popular these kind of surveys are. But we here at /peloton want to show you that this is all about presenting the information in the subreddit to cater better to our audience!
Updated after a few hours to include some more historical data the final edit that for some reason wasn't copied properly
Year 2013 2014 2015 2016 2018 Mar 2018 Aug 2019 2020
Results 2013-06-12 2014-06-25 2015-08-07 2016-11-17 2018-03-06 2018-08-20 2019-07-22 2020-10-12
Replies 351 598 1395 892 630 928 986 1428
Without further ado, let's get cracking on the response

You and Cycling

1. Where do you live?

Country 2015 2016 2018 Mar 2018 Aug 2019 2020
USA 32% 28.3% 22.84% 25.32% 20.23% 24.59%
UK 18.6% 17.6% 14.70% 20.13% 15.48% 14.80%
Netherlands 6.4% 9.4% 11.50% 11.58% 10.01% 11.01%
Germany 3.73% 3.4% 4.95% 6.39% 7.84% 6.65%
Denmark 3.9% 3.6% 4.31% 3.79% 7.64% 5.79%
Belgium 3.8% 2.7% 8.15% 3.57% 5.78% 5.36%
France 2.01% 1.08% 2.88% 2.27% 5.26% 3.50%
Canada 4.9% 7% 6.39% 4.22% 4.95% 4.50%
Australia 5.2% 4.7% 3.83% 4.00% 4.33% 3.93%
Slovenia 0.73% 0.32% 1.30% 1.14% 2.14%
Norway 2.58% 1.8% 1.60% 1.95% 2.58% 1.86%
Sweden 1.08% 1.09% 1.44% 1.41% 1.75% 1.43%
Ireland 1.00% 1.09% 1.44% 1.19% 0.72% 1.36%
Portugal 1.65% 1.8% 2.40% 1.52% 1.34% 1.14%
Italy 1.45% 1.44% 0.65% 1.03% 1.07%
Largely the same picture as ever, with the US leading the way, the UK in second and then a sliding scale of Europeans countries. Slovenia continues to pick its way up the pile for obvious reasons!
World Map to demonstrate

2. What's your age?

u17 17-19 20-25 26-30 31-35 36-40 41-50 51+ Total
2015 2.22% 12.04% 41.51% 24.66% 10.68% 4.87% 2.94% 1.08% 1395
2016 1.5% 8.9% 40.8% 24% 12% 5.4% 5.2% 2% 887
2018 Mar 1% 7.1% 33.5% 27.4% 16.2% 7% 5.7% 2.1% 617
2018 Aug 1.7% 9% 33.9% 26.4% 15.5% 7% 5% 1.5% 905
2019 1.5% 6.6% 33.2% 27.5% 16.4% 7.1% 5.8% 2% 972
2020 1.3% 6.8% 31.7% 28% 16.6% 7.2% 5% 2.5% 1420
Pretty much the same as last year, with the usual reddit demographics of majority 20 somethings dominating.

3. What's your gender?

'13 '14 '15 '16 '18 (1) '18 (2) '19 '20
Male 97.2% 97% 94.9% 93.4% 93.3% 93.6% 95.1% 94.9%
Female 2.8% 2.7% 4.8% 5.3% 5.3% 5.4% 3.7% 4.8%
Other - 0.33% 0.29% 0.78% 0.76% - -
Non-Binary - - - - 0.64% 0.99% 1.2% 0.4%
More normality here for reddit.

4. How much of the men's season do you watch/follow?

Type March '18 (%) August '18 (%) 2019 (%) 2020 (%)
Grand Tours 84.7 92.0 90.2 87.3
Monuments 79.1 74.9 79 75.9
WT Stage races 67.4 62.4 70.5 71.7
WT One day races 73.3 59.8 62.3 60.7
Non WT Stage races 32.6 16.7 17.4 25
Non WT One day races 34.8 13.7 17.4 20.7
Literally everything I can consume 35.9 18.1 21.1 27.1
Whilst GT following may be down (somehow), all the lower level stuff is up, which makes sense considering how desperate we have been for any racing during the season shutdown.

5. Do you maintain an interest in women's professional road racing?

Do you maintain an interest in women's professional road racing? '19 '20
Yes 49.8 49.2
No 50.2 50.8
Still very much a half/half interest in women's cycling on the subreddit.

6. How much of the women's season do you follow?

The following is true for the half of you that follows womens cycling.
How Much %
Just the biggest televised events 63.15%
Most of the live televised/delayed coverage stuff 29.08%
All televised racing 5.09%
Down to .Pro & beyond 2.69%

7. How long have you been watching cycling?

How Long %
Under a year 2,95%
1-3 years 19,50%
4-6 years 19,85%
7-9 years 14,10%
10-12 years 13,81%
13-15 years 7,15%
15-20 years 10,73%
20-25 years 6,17%
25 years + 5,75%
Simplified the years a little this time, but whilst we have a fair number of newbies, most people have picked the sport up since around 2013/14.

Sporting Favourites

8. Do you have like/dislike feelings about WT teams?

Once more, 14.4% of people really don't have feelings on the subject.
Of those that do:
AG2R Astana Bahrain Bora CCC Cofidis Quick-Step EF FDJ
Like 352 213 127 770 156 116 847 724 423
Meh 775 620 773 415 889 896 310 448 700
Dislike 52 356 263 31 112 141 71 37 53
Karma 300 -143 -70 739 44 -25 776 677 370
Israel Lotto Michelton Movistar NTT Ineos Jumbo Sunweb Trek UAE
Like 135 364 517 231 101 304 925 279 383 118
Meh 740 764 626 646 931 414 282 805 765 734
Dislike 302 40 52 326 121 562 53 97 42 331
Karma -167 324 465 -95 -20 -258 872 182 341 -213
So, the most popular team this year is Jumbo-Visma, followed by Quick-Step & Bora-hansgrohe. Least popular are Ineos & UAE.
As per usual, no one cares about NTT & CCC, with nearly 81% of users rating NTT as meh. Pretty damning stuff.
Lastly, we have the usual historical comparison of how teams have fared over time, normalised to respondents to that question on the survey.
Things to note then, firstly that the Astana redemption arc is over, seeing them back in the negative, maybe Fulgsangs spring issues helped aid that? The petrodollar teams of UAE & Bahrain are stubbornly negative too, with Israel keeping up the Katusha negative streak. Meanwhile, at the top end, EF & Jumbo go from strength to strength, whilst some others like Sunweb are sliding over time - their transfer policies no doubt helping that.

10. Do you ride a bike regularly?

Answer 2018Mar 2018Aug 2019 2020
For fun 61.5% 63.4% 59.9% 62.9%
For fitness 59.3% 59.6% 54.8% 59.8%
For commuting 46% 46% 45.6% 40%
For racing 20.6% 20.6% 15.9% 17.7%
No, I don't 14.2% 12.9% 14.8% 13.6%
Still a fairly small group of racers out of all of us

11. Out of the sports you practice, is cycling your favourite?

Yes No
58,29% 41,71%
A new addition to the survey prompted by a good point last time, just over half of us rate cycling as the favourite sport we actually do.

12. What other sports do you follow?

Sport #
Association Football / Soccer 50.78%
Formula 1 35.81%
American Football 26.27%
Basketball 22.46%
Track & Field 17.58%
Esports (yes, this includes DotA) 17.30%
Rugby 14.27%
Skiing 14.12%
Ice Hockey 13.63%
Baseball 12.15%
Motorsports (Not including F1) 10.59%
Cricket 10.52%
Tennis 9.53%
Chess 8.97%
Triathlon 8.69%
Biathlon 8.12%
Snooker 7.06%
Golf 6.92%
Swimming 6.85%
Ski Jumping 6.78%
Climbing 5.72%
Martial Arts 5.65%
Handball 5.44%
Darts 5.01%
Speed Skating 5.01%
Football always tops the charts, and Formula 1 continues to rank extremely highly among our userbase. Those who have a little following below 5% include Sailing, Fencing, Surfing, Boxing & Ultra-Running.
Other cycling disciplines
Sport #
Cyclocross 22.10%
Track Cycling 14.34%
MTB 8.97%
BMX 1.20%

13. Out of the sports you follow, is cycling your favourite sport?

Yes No
61.79% 38,21%
Good. Makes sense if you hang out here.

Subreddit stats

14. How often do you participate in a /Peloton Race Thread whilst watching a race?

2015 2016 2018Mar 2018Aug 2019 2020
I always participate in Race Threads during races 2.8% 2% 2.2% 4% 2.5% 3%
I follow Race Threads during races 41.7% 36.7% 38.1% 42.1% 42.5% 38.9%
I often participate in Race Threads during races 16.8% 19% 16.5% 18.9% 15.2% 13%
I rarely/never participate in Race Threads during races 38.7% 41.3% 43.1% 35% 39.8% 45.1%
Slightly less invested than before, reverting back to an older trade.

15. How do you watch Races?

Method 2018Mar 2018Aug 2019 2020
Pirate Streams 62% 46.5% 50.2% 47.9%
Free Local TV 55.7% 64.5% 59.6% 53.9%
Desperately scrabbling for Youtube highlights 37.9% 30.2% 28.2% 24.9%
Paid Streaming services 32.3% 35.4% 38.3% 46.3%
Year on year, paid streaming services go up - the increasing availability of live content legally continues to improve, and so do the numbers on the survey.

16. Where else do you follow races live (in addition to watching them)?

Type 2018Mar 2018Aug 2019 2020
/Peloton race threads 86.2% 83.4% 80.2% 76.9%
Twitter 30.5% 34.7% 33.3% 38.3%
PCS Liveticker - - 30.2% 32%
Official tracker (if available) 24%
The Cyclingnews liveticker 26% 23.5% 21.5% 18.9%
Sporza (site/ticker) 1.89% 9.5% 10.8% 10.8%
NOS Liveblog - 6.8% 7% 9.2%
Steephill 0.52% 13.5% 10.2% 8.2%
/Peloton discord 6.5% 5.4% 7.5% 7.2%
Other cycling forums 15.1% 8.1% 7.6% 7%
feltet.dk - 2.2% 5.4% 5.2%
Facebook 3.8% 5.4% 4% 4.2%
BBC Ticker - 3.5% 2.1% 4.1%
DirectVelo - 1.3% 1.6% 1.8%
Non Cycling Forums - 1.3% 1.2% 1.2%
/cyc/ - 1.3% 1% 0.6%
/peloton IRC ~0 0.8% 0.4% 0.5%
The PCS liveticker continues to have a strong following, whilst the cyclingnews ticker slowly slides into less usage over time.

17. Do you use /Peloton mostly in classic reddit or redesign when on the desktop?

Type 2018 Aug 2019 2020
Classic 75.1% 67.2% 46.2%
Redesign 24.9% 32.8% 53.8%
Time to abandon ship. The end has come.

18. With what version of reddit do you browse the sub?

Version 2019 2020
Official App 17.9 31.1
Desktop Classic 37.8 25.8
3rd Party App 18.3 17.2
Mobile Web 12.4 14.7
Desktop Redesign 13.7 11.2
Phone browsing is very much in vogue.

19. How did you find the sub?

How %
Through other forms of reddit, f.e. /bicycling 48.33%
Too long - can't remember 38.65%
Google search 9,11%
My friend told me 2,28%
I wanted to talk about my exercise bike 0.78%
Twitter 0.5%
Lantern Rouge Youtube 0.28%

Other bits and bobs

20. Did you think back in March we would see any more racing this year?

Yes No
52,81% 47,19%
Despite the threat, we have seen racing again

21. Will we manage to fulfill the rest of the UCI calendar without further Covid-19 issues postponing more races?

Yes No
25.3% 74.7%
Sorry to you 25%, Amstel, Roubaix & a bunch of other races have falled foul of COVID-19 related cancellations.

22. When did you become aware of Alexander Foliforov?

When %
Before the 2016 Giro 3,25%
22nd May, 2016 15,55%
On /pelotonmemes in 2020 21,13%
Who? 60,07%
If you didn't know of the man, watching him demolish the Giro field in 2016 on the stage 15 ITT should help to gain understanding

23. Who will win the 2020 Tour de France?

Rider %
Roglic 52,12%
Bernal 16,57%
Pinot 9,24%
Dumoulin 7,9%
N.Quintana 2,82%
Pogacar 1,41%
Richie Porte 0,35%
We can safely say that most of us were wrong about this one.
That's not a lot of confidence in Richie Porte either, the man who was to finish on the third spot of the podium. Alexander Foliforov (0,23%) had just a tiny number of votes less, and that man wasn't even in the race.

24. What for you was the defining cycling moment of the previous decade?

We had a lot of brilliant suggestions, but these were the clear five favourites when we tabulated the results.
Honorable mentions go to the Giro 2018, which had Tom Dumoulin winning, and of almost identical fascination to many of you - Tom Dumoulin going on someones porta-potty in the middle of the stage.
Little bit of recency bias perhaps, but that's better than ignoring that this was for the last decade and firmly insisting Tom Boonens 2005 WC win was the biggest thing. Special shoutout to almost all the Danes present in /peloton who voted for Mads Pedersens WC win last year. It's an understandable reaction.

25. Any suggestions for the Survey?

New Questions
We promise to feature one of these suggestions in the next survey
Suggestions
We will try to implement this. But it will also skew results.
About the Survey
The subscribers are torn on Women's cycling, nearly a 50/50 split there as the survey showed - The moderators at /peloton are firmly in the "more cycling is better" basket, and we will continue to get as good coverage of womens cycling as possible.
Are you trying to give the moderators PTSD? Because this is how you give the moderators PTSD.

26. Any suggestions for the sub?

ALSJFLKAJSLDKJAØLSJKD:M:CSAM)=#/()=#=/")¤=/)! - Your moderator seems to be out of function. Please stand by while we find you a new moderator
The Weekly threads are great for these types of questions, where several people can contribute and build up once it is understood which information is relevant.
Our experience is that "limited" will never be so, if we're going to moderate it fairly. Moderating is not a popularity contest, but believe it or not, we're actually trying to be as fair as possible. and for that, we need rules that are not subjective. Unless you have a stationary exercise bike.
All of these are good suggestions, but remember that all of you can also contribute - The mods are sometimes stretched thin, specially in the middle of hectic race schedules. It's easier if one of you has a way to contact a rider or a person of interest and can facilitate the initial communication.
We've worked on this! The Official Standard is now as follows: [Race Thread] 202x Race Name – Stage X (Class)
This sounds as a nice community project for the after-season, and hopefully many of you subscribers can contribute.
Come with suggestions on how to tidy it up!
We have chastised all the mods. They are now perfectly trained in gender-neutral pronouns. Be well, fellow being.
If we can implement this for hard liquor, you know we will.
The spoiler rule is one that is discussed frequently - in general - some users absolutely hate it, but a majority love it. Perhaps we'll include a question in the next survey to see how this divide is exactly.
We actually do - whenever there is a matter of life or death, we think public information is more important than a spoiler rule. But at the same time, we try to collect all the different posts into one main thread, so to keep things focused and letting very speculative posts meet with hard evidence from other sources.
This is a tough ask of the internet. While we can agree that voting should be done accordingly to what insights they bring, not subjective opinions, it is very hard to turn that type of thinking around. We can ask of you, our subscribers, that you please think twice about hitting that downvote button, and only do so because of you think a post is factually incorrect, not because it differs with your own subjective opinion.
That's the primary analysis of the survey! Feel free to contribute with how you experience things here!
submitted by PelotonMod to peloton [link] [comments]

No gods, no kings, only NOPE - or divining the future with options flows. [Part 3: Hedge Winding, Unwinding, and the NOPE]

Hello friends!
We're on the last post of this series ("A Gentle Introduction to NOPE"), where we get to use all the Big Boy Concepts (TM) we've discussed in the prior posts and put them all together. Some words before we begin:
  1. This post will be massively theoretical, in the sense that my own speculation and inferences will be largely peppered throughout the post. Are those speculations right? I think so, or I wouldn't be posting it, but they could also be incorrect.
  2. I will briefly touch on using the NOPE this slide, but I will make a secondary post with much more interesting data and trends I've observed. This is primarily for explaining what NOPE is and why it potentially works, and what it potentially measures.
My advice before reading this is to glance at my prior posts, and either read those fully or at least make sure you understand the tl;drs:
https://www.reddit.com/thecorporation/collection/27dc72ad-4e78-44cd-a788-811cd666e32a
Depending on popular demand, I will also make a last-last post called FAQ, where I'll tabulate interesting questions you guys ask me in the comments!
---
So a brief recap before we begin.
Market Maker ("Mr. MM"): An individual or firm who makes money off the exchange fees and bid-ask spread for an asset, while usually trying to stay neutral about the direction the asset moves.
Delta-gamma hedging: The process Mr. MM uses to stay neutral when selling you shitty OTM options, by buying/selling shares (usually) of the underlying as the price moves.
Law of Surprise [Lily-ism]: Effectively, the expected profit of an options trade is zero for both the seller and the buyer.
Random Walk: A special case of a deeper probability probability called a martingale, which basically models stocks or similar phenomena randomly moving every step they take (for stocks, roughly every millisecond). This is one of the most popular views of how stock prices move, especially on short timescales.
Future Expected Payoff Function [Lily-ism]: This is some hidden function that every market participant has about an asset, which more or less models all the possible future probabilities/values of the assets to arrive at a "fair market price". This is a more generalized case of a pricing model like Black-Scholes, or DCF.
Counter-party: The opposite side of your trade (if you sell an option, they buy it; if you buy an option, they sell it).
Price decoherence ]Lily-ism]: A more generalized notion of IV Crush, price decoherence happens when instead of the FEPF changing gradually over time (price formation), the FEPF rapidly changes, due usually to new information being added to the system (e.g. Vermin Supreme winning the 2020 election).
---
One of the most popular gambling events for option traders to play is earnings announcements, and I do owe the concept of NOPE to hypothesizing specifically about the behavior of stock prices at earnings. Much like a black hole in quantum mechanics, most conventional theories about how price should work rapidly break down briefly before, during, and after ER, and generally experienced traders tend to shy away from playing earnings, given their similar unpredictability.
Before we start: what is NOPE? NOPE is a funny backronym from Net Options Pricing Effect, which in its most basic sense, measures the impact option delta has on the underlying price, as compared to share price. When I first started investigating NOPE, I called it OPE (options pricing effect), but NOPE sounds funnier.
The formula for it is dead simple, but I also have no idea how to do LaTeX on reddit, so this is the best I have:

https://preview.redd.it/ais37icfkwt51.png?width=826&format=png&auto=webp&s=3feb6960f15a336fa678e945d93b399a8e59bb49
Since I've already encountered this, put delta in this case is the absolute value (50 delta) to represent a put. If you represent put delta as a negative (the conventional way), do not subtract it; add it.
To keep this simple for the non-mathematically minded: the NOPE today is equal to the weighted sum (weighted by volume) of the delta of every call minus the delta of every put for all options chains extending from today to infinity. Finally, we then divide that number by the # of shares traded today in the market session (ignoring pre-market and post-market, since options cannot trade during those times).
Effectively, NOPE is a rough and dirty way to approximate the impact of delta-gamma hedging as a function of share volume, with us hand-waving the following factors:
  1. To keep calculations simple, we assume that all counter-parties are hedged. This is obviously not true, especially for idiots who believe theta ganging is safe, but holds largely true especially for highly liquid tickers, or tickers will designated market makers (e.g. any ticker in the NASDAQ, for instance).
  2. We assume that all hedging takes place via shares. For SPY and other products tracking the S&P, for instance, market makers can actually hedge via futures or other options. This has the benefit for large positions of not moving the underlying price, but still makes up a fairly small amount of hedges compared to shares.

Winding and Unwinding

I briefly touched on this in a past post, but two properties of NOPE seem to apply well to EER-like behavior (aka any binary catalyst event):
  1. NOPE measures sentiment - In general, the options market is seen as better informed than share traders (e.g. insiders trade via options, because of leverage + easier to mask positions). Therefore, a heavy call/put skew is usually seen as a bullish sign, while the reverse is also true.
  2. NOPE measures system stability
I'm not going to one-sentence explain #2, because why say in one sentence what I can write 1000 words on. In short, NOPE intends to measure sensitivity of the system (the ticker) to disruption. This makes sense, when you view it in the context of delta-gamma hedging. When we assume all counter-parties are hedged, this means an absolutely massive amount of shares get sold/purchased when the underlying price moves. This is because of the following:
a) Assume I, Mr. MM sell 1000 call options for NKLA 25C 10/23 and 300 put options for NKLA 15p 10/23. I'm just going to make up deltas because it's too much effort to calculate them - 30 delta call, 20 delta put.
This implies Mr. MM needs the following to delta hedge: (1000 call options * 30 shares to buy for each) [to balance out writing calls) - (300 put options * 20 shares to sell for each) = 24,000 net shares Mr. MM needs to acquire to balance out his deltas/be fully neutral.
b) This works well when NKLA is at $20. But what about when it hits $19 (because it only can go down, just like their trucks). Thanks to gamma, now we have to recompute the deltas, because they've changed for both the calls (they went down) and for the puts (they went up).
Let's say to keep it simple that now my calls are 20 delta, and my puts are 30 delta. From the 24,000 net shares, Mr. MM has to now have:
(1000 call options * 20 shares to have for each) - (300 put options * 30 shares to sell for each) = 11,000 shares.
Therefore, with a $1 shift in price, now to hedge and be indifferent to direction, Mr. MM has to go from 24,000 shares to 11,000 shares, meaning he has to sell 13,000 shares ASAP, or take on increased risk. Now, you might be saying, "13,000 shares seems small. How would this disrupt the system?"
(This process, by the way, is called hedge unwinding)
It won't, in this example. But across thousands of MMs and millions of contracts, this can - especially in highly optioned tickers - make up a substantial fraction of the net flow of shares per day. And as we know from our desk example, the buying or selling of shares directly changes the price of the stock itself.
This, by the way, is why the NOPE formula takes the shape it does. Some astute readers might notice it looks similar to GEX, which is not a coincidence. GEX however replaces daily volume with open interest, and measures gamma over delta, which I did not find good statistical evidence to support, especially for earnings.
So, with our example above, why does NOPE measure system stability? We can assume for argument's sake that if someone buys a share of NKLA, they're fine with moderate price swings (+- $20 since it's NKLA, obviously), and in it for the long/medium haul. And in most cases this is fine - we can own stock and not worry about minor swings in price. But market makers can't* (they can, but it exposes them to risk), because of how delta works. In fact, for most institutional market makers, they have clearly defined delta limits by end of day, and even small price changes require them to rebalance their hedges.
This over the whole market adds up to a lot shares moving, just to balance out your stupid Robinhood YOLOs. While there are some tricks (dark pools, block trades) to not impact the price of the underlying, the reality is that the more options contracts there are on a ticker, the more outsized influence it will have on the ticker's price. This can technically be exactly balanced, if option put delta is equal to option call delta, but never actually ends up being the case. And unlike shares traded, the shares representing the options are more unstable, meaning they will be sold/bought in response to small price shifts. And will end up magnifying those price shifts, accordingly.

NOPE and Earnings

So we have a new shiny indicator, NOPE. What does it actually mean and do?
There's much literature going back to the 1980s that options markets do have some level of predictiveness towards earnings, which makes sense intuitively. Unlike shares markets, where you can continue to hold your share even if it dips 5%, in options you get access to expanded opportunity to make riches... and losses. An options trader betting on earnings is making a risky and therefore informed bet that he or she knows the outcome, versus a share trader who might be comfortable bagholding in the worst case scenario.
As I've mentioned largely in comments on my prior posts, earnings is a special case because, unlike popular misconceptions, stocks do not go up and down solely due to analyst expectations being meet, beat, or missed. In fact, stock prices move according to the consensus market expectation, which is a function of all the participants' FEPF on that ticker. This is why the price moves so dramatically - even if a stock beats, it might not beat enough to justify the high price tag (FSLY); even if a stock misses, it might have spectacular guidance or maybe the market just was assuming it would go bankrupt instead.
To look at the impact of NOPE and why it may play a role in post-earnings-announcement immediate price moves, let's review the following cases:
  1. Stock Meets/Exceeds Market Expectations (aka price goes up) - In the general case, we would anticipate post-ER market participants value the stock at a higher price, pushing it up rapidly. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the positive move since:
a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worthless (due to price decoherence). This means that to stay delta neutral, market makers need to close out their sold/shorted shares, buying them, and pushing the stock price up.
b) If NOPE is high positive - This means a ton of call buying, which means a lot of puts are now worthless (see a) but also a lot of calls are now worth more. This means that to stay delta neutral, market makers need to close out their sold/shorted shares AND also buy more shares to cover their calls, pushing the stock price up.
2) Stock Meets/Misses Market Expectations (aka price goes down) - Inversely to what I mentioned above, this should push to the stock price down, fairly immediately. If there's a high absolute value of NOPE on said ticker, this should end up magnifying the negative move since:
a) If NOPE is high negative - This means a ton of put buying, which means a lot of those puts are now worth more, and a lot of calls are now worth less/worth less (due to price decoherence). This means that to stay delta neutral, market makers need to sell/short more shares, pushing the stock price down.
b) If NOPE is high positive - This means a ton of call buying, which means a lot of calls are now worthless (see a) but also a lot of puts are now worth more. This means that to stay delta neutral, market makers need to sell even more shares to keep their calls and puts neutral, pushing the stock price down.
---
Based on the above two cases, it should be a bit more clear why NOPE is a measure of sensitivity to system perturbation. While we previously discussed it in the context of magnifying directional move, the truth is it also provides a directional bias to our "random" walk. This is because given a price move in the direction predicted by NOPE, we expect it to be magnified, especially in situations of price decoherence. If a stock price goes up right after an ER report drops, even based on one participant deciding to value the stock higher, this provides a runaway reaction which boosts the stock price (due to hedging factors as well as other participants' behavior) and inures it to drops.

NOPE and NOPE_MAD

I'm going to gloss over this section because this is more statistical methods than anything interesting. In general, if you have enough data, I recommend using NOPE_MAD over NOPE. While NOPE in theory represents a "real" quantity (net option delta over net share delta), NOPE_MAD (the median absolute deviation of NOPE) does not. NOPE_MAD simply answecompare the following:
  1. How exceptional is today's NOPE versus historic baseline (30 days prior)?
  2. How do I compare two tickers' NOPEs effectively (since some tickers, like TSLA, have a baseline positive NOPE, because Elon memes)? In the initial stages, we used just a straight numerical threshold (let's say NOPE >= 20), but that quickly broke down. NOPE_MAD aims to detect anomalies, because anomalies in general give you tendies.
I might add the formula later in Mathenese, but simply put, to find NOPE_MAD you do the following:
  1. Calculate today's NOPE score (this can be done end of day or intraday, with the true value being EOD of course)
  2. Calculate the end of day NOPE scores on the ticker for the previous 30 trading days
  3. Compute the median of the previous 30 trading days' NOPEs
  4. From the median, find the 30 days' median absolute deviation (https://en.wikipedia.org/wiki/Median_absolute_deviation)
  5. Find today's deviation as compared to the MAD calculated by: [(today's NOPE) - (median NOPE of last 30 days)] / (median absolute deviation of last 30 days)
This is usually reported as sigma (σ), and has a few interesting properties:
  1. The mean of NOPE_MAD for any ticker is almost exactly 0.
  2. [Lily's Speculation's Speculation] NOPE_MAD acts like a spring, and has a tendency to reverse direction as a function of its magnitude. No proof on this yet, but exploring it!

Using the NOPE to predict ER

So the last section was a lot of words and theory, and a lot of what I'm mentioning here is empirically derived (aka I've tested it out, versus just blabbered).
In general, the following holds true:
  1. 3 sigma NOPE_MAD tends to be "the threshold": For very low NOPE_MAD magnitudes (+- 1 sigma), it's effectively just noise, and directionality prediction is low, if not non-existent. It's not exactly like 3 sigma is a play and 2.9 sigma is not a play; NOPE_MAD accuracy increases as NOPE_MAD magnitude (either positive or negative) increases.
  2. NOPE_MAD is only useful on highly optioned tickers: In general, I introduce another parameter for sifting through "candidate" ERs to play: option volume * 100/share volume. When this ends up over let's say 0.4, NOPE_MAD provides a fairly good window into predicting earnings behavior.
  3. NOPE_MAD only predicts during the after-market/pre-market session: I also have no idea if this is true, but my hunch is that next day behavior is mostly random and driven by market movement versus earnings behavior. NOPE_MAD for now only predicts direction of price movements right between the release of the ER report (AH or PM) and the ending of that market session. This is why in general I recommend playing shares, not options for ER (since you can sell during the AH/PM).
  4. NOPE_MAD only predicts direction of price movement: This isn't exactly true, but it's all I feel comfortable stating given the data I have. On observation of ~2700 data points of ER-ticker events since Mar 2019 (SPY 500), I only so far feel comfortable predicting whether stock price goes up (>0 percent difference) or down (<0 price difference). This is +1 for why I usually play with shares.
Some statistics:
#0) As a baseline/null hypothesis, after ER on the SPY500 since Mar 2019, 50-51% price movements in the AH/PM are positive (>0) and ~46-47% are negative (<0).
#1) For NOPE_MAD >= +3 sigma, roughly 68% of price movements are positive after earnings.
#2) For NOPE_MAD <= -3 sigma, roughly 29% of price movements are positive after earnings.
#3) When using a logistic model of only data including NOPE_MAD >= +3 sigma or NOPE_MAD <= -3 sigma, and option/share vol >= 0.4 (around 25% of all ERs observed), I was able to achieve 78% predictive accuracy on direction.

Caveats/Read This

Like all models, NOPE is wrong, but perhaps useful. It's also fairly new (I started working on it around early August 2020), and in fact, my initial hypothesis was exactly incorrect (I thought the opposite would happen, actually). Similarly, as commenters have pointed out, the timeline of data I'm using is fairly compressed (since Mar 2019), and trends and models do change. In fact, I've noticed significantly lower accuracy since the coronavirus recession (when I measured it in early September), but I attribute this mostly to a smaller date range, more market volatility, and honestly, dumber option traders (~65% accuracy versus nearly 80%).
My advice so far if you do play ER with the NOPE method is to use it as following:
  1. Buy/short shares approximately right when the market closes before ER. Ideally even buying it right before the earnings report drops in the AH session is not a bad idea if you can.
  2. Sell/buy to close said shares at the first sign of major weakness (e.g. if the NOPE predicted outcome is incorrect).
  3. Sell/buy to close shares even if it is correct ideally before conference call, or by the end of the after-market/pre-market session.
  4. Only play tickers with high NOPE as well as high option/share vol.
---
In my next post, which may be in a few days, I'll talk about potential use cases for SPY and intraday trends, but I wanted to make sure this wasn't like 7000 words by itself.
Cheers.
- Lily
submitted by the_lilypad to thecorporation [link] [comments]

AMZN Trade Retrospective: Collecting a $.37 Credit for the Potential to Make Another $50

AMZN Trade Retrospective: Collecting a $.37 Credit for the Potential to Make Another $50
There are different ways to trade in a choppy environment. Here’s a deep dive on how I attempted to use weekly options to trade a potential bounce in AMZN, and collected $.37 initially, for the possibility of making $50 more, even though the trade ended up being only an $.81 winner.

The Entry

Last Thursday, 9/24, when $AMZN was trading at about $3000 a share, I was looking for a cheap way to play a bounce in the stock. During that time, my bias in the markets had begun to shift to a more bullish stance after seeing how the market had difficulty grinding lower. With that in mind, I wanted to play a potential bounce in tech. But I knew I didn’t want to pay a debit at all to play for a bounce that might not even happen, given how uncertain and choppy the markets had been, but I still wanted to set myself up to capture some large gains if AMZN did indeed bounce. Therefore, the strategy that made the most sense to me, was a Call broken wing butterfly.
Given that I’m a very short-term options trader who loves trading weeklies, I was trying to look for a cheap butterfly for the upcoming week that I could put on for a net credit. After exploring the options chain, I came across the +1/-2/+1 3300/3350/3450 call broken wing butterfly for the Oct 2 series. This fly, at the time (on Sept 24), was trading for a total of $.37 credit. Meaning, by putting on that butterfly, I would get paid $.37, and the following scenarios could happen:
  1. If AMZN decided to tank or hang out sideways and never get up close enough to the butterfly to expand the spread in my favor, then I’d walk away pocketing the $.37 credit
  2. If AMZN slowly crept up to reach exactly 3350 by expiration, I’d not only get to keep the credit, but also be able to sell the butterfly back out for $50. Of course, it doesn’t need to reach exactly 3350 by expiration. If AMZN slowly worked its way up to near 3300, then the butterfly would expand very nicely as well.
  3. If AMZN blew past 3400 by expiration, I’d see a loss, up to a maximum of $50 / spread (if $AMZN moves past 3450). That’s because the 3300/3350 long call vertical of the fly provides 50 points of coverage before I essentially start losing money from the 3350/3450 short vertical, up until that 3450 kicks in to cap off further upside losses.
So that is a rough outline of the potential scenarios that would happen with this trade.
Given the choppy market conditions, I was ok with risking $50/spread (point #3), in order to not lose money if I’m wrong on direction (point #1), while at the same time, keeping myself open to the possibility of the butterfly expanding in my favor (point #2) for some potentially very large gains.
But satisfying point #3 is tricky. I needed more data points suggesting that $AMZN wouldn’t surge higher early on in the trade. Because if $AMZN did surge higher early on in the trade, then while the 3300 long call would rise in value, those two 3350 short calls would also rise in value, and because there’d still be some time value left, they could be very juiced up and eat away at the profits of that 3300 long call, so much so that the 3450 long call won’t even be able to offset those losses, especially given how far out of the money that 3450 call is.

AMZN on 9/24, daily timeframe
Looking at the chart above on 9/24, we can see that AMZN was trading at around $3000/share. In order to reach $3300 (where the first long call of the broken wing butterfly is), the stock would need to
  1. Breach the 38% fib retracement (~AMZN=3131) of the move from the 9/2 high to the 9/21 low,
  2. Breach the 20MA and 50MA
  3. Breach the 50% fib retracement (~AMZN=3211)
  4. Breach the 61.8% fib retracement (~AMZN=3292)
before finally reaching the 3300 long call. All of these levels, I felt, should provide some resistance for AMZN to have to chew thru over the following week, before it even gets to the long call. And by that time, if AMZN did reach 3300, then the 3300 long call would still have a lot of extrinsic value left (somewhere around $20 on the last day), while the 3350 short calls would be very cheap (each around $5), so the entire spread could be roughly worth $10. Which would be great, because that means I’d be getting paid $.37 to make another $10.
So with all of the above considered, I chose to take on that upside risk, for a chance to make potentially $50 (realistically I try to aim for just half of the max profit: $25, and start harvesting profits and peeling off the flies at around $5-$10), and that day on 9/24, entered the Oct2 3300/3350/3450 call broken wing butterfly for a $.37 credit.
After entry, on Friday 9/25 and Monday 9/28, AMZN made steady progress upwards, from 3000 to 3175, breaching the 31.8% retracement and tagging the 20MA and 50MA from below.

AMZN on 9/28, daily timeframe
but this move wasn’t large and fast enough to expand the value of the 3350 short calls. In fact, theta did a great job draining those short calls, while the 3300 long call did a good job retaining its premium, so the butterfly had already expanded a bit in my favor, and I was sitting at about a small $1.00 profit.

The Adjustment

However, on Tuesday and Wednesday, AMZN began to stall out. By the end of Wednesday 9/30, when it looked like AMZN was putting in a topping tail, I decided that AMZN might not be able to make it near 3300 by expiration Friday, so I wanted to take in a bit more credit while I still could, before theta drained more of that 3300 long call. At the time, the spread was trading for almost $2.
That’s when I made a slight adjustment to the spread and sold the 3300/3310 call vertical.

AMZN on 9/30, daily timeframe
This essentially rolled the 3300 long call up to 3310, and I was able to collect a small $.44 credit for it. However, this adjustment did open me up to an additional $10 of risk to the upside, because now, the long call vertical portion of the butterfly is only $40 wide (instead of $50). Still, with only 2 days left for AMZN to go higher, I felt comfortable taking on a bit more upside risk knowing that theta is going to be working hard to drain those 3350 short calls if AMZN did decide to surge higher. And at that moment, I actually wanted AMZN to move more towards my fly. My deltas were still positive, and the risk graph showed that a move towards the short strikes of the fly would expand it by another $4-5 by Thursday.
So after this adjustment, the trade stood at a $.81 credit, and the profit potential on the fly was now $40 instead of $50. Which is still pretty good.

The Tease

On Thursday, AMZN showed some strength and closed above the 50% fib (3211), which meant that if on Friday, AMZN worked its way up to around 3300, the fly could potentially be worth $5-10. Things were looking good (on any continued bullishness, the next target for AMZN was the 61.8% fib retracement at ~3300). So I left the trade alone without making any more adjustments.

AMZN on 10/1, daily timeframe

The Flop

Unfortunately, on Thursday night, news broke out that Trump was diagnosed with Coronavirus, and the market fell lower. By the open, AMZN was already trading at around 3150, roughly 150 points below the fly. The spread had instantly lost all of its value, so I basically let it expire worthless and walked away pocketing the $.81 credit.

https://preview.redd.it/mpwrkjpk6xq51.png?width=4096&format=png&auto=webp&s=8dd7f4da7b000b2266ab57a3c23c1863f9423704
While the trade did not work out as well as I had liked, the important thing to note is that I was able to get paid even when the trade didn’t go in my favor. With options, there are ways to trade an underlying to a certain target without ponying up a debit, albeit at the cost of introducing tail risk, while offering the possibility of very large upside. This may be a style of trading that one can consider employing when the outlook of the markets is uncertain, as long as the trader is willing to make the necessary adjustments to control risk.
Which leads me to the following section:

FAQ

What if AMZN decided to surge very early on during the trade? What if AMZN had surged to 3300 with 4-5 DTE, hence juicing up the short calls and causing the butterfly to take on large negative deltas?
Even though the position would be very theta positive, I would pony up the debit to cap off the upside risk by buying the 3400/3450 call vertical, hence turning the 3300/3350/3450 broken wing butterfly into the 3300/3350/3400 balanced butterfly. From there on out until expiration, I would look for ways to reduce the debit incurred from that adjustment.

But what if AMZN tanked afterwards? You could end up getting whipsawed.
I’d rather be safe than sorry and make the necessary adjustments to avoid getting run over, because I don’t like playing the hope card. I could always undo the adjustment and look for ways to collect back more credit (at the cost of introducing risk elsewhere), depending on my new directional bias on AMZN at the time.

Your maximum loss is so large, $5000. I’d never make that bet, I would never risk $5000 to make $5000.
This style of trading is not for everyone. There are different ways to perceive risk. I don't really think of risk as binary as “max gain vs max loss”. If the trade goes against me, I’m not going to open myself up to the possibility of eating the maximum loss. I’m going to manage that risk and make sure that I don’t lose any money at all on the trade. Basically, I’m not going to just put on the trade, walk away to the prayer room, and come back at expiration and hope that AMZN expired at 3350.

Why not just join thetagang and slap on iron condors / credit spreads in this environment? You could’ve collected more credit by selling a 50 point wide put vertical with your bounce thesis.
Different traders have different styles. I personally don’t like pure premium selling strategies. I’d rather have long options in front of the shorts to open myself up for some large upside and convexity in the P/L curve, rather than limit myself to the concavity of pure premium selling strategies. Having long options in front of the shorts also helps me sleep better at night.

It’s hard to read this. Is there a more visual explanation?
Here’s a video on it: https://www.youtube.com/watch?v=8uq76fZ3EME

TL;DR - I used weekly options to trade a potential bounce in AMZN, and got paid $.37 initially to do so, for the possibility of making $50 more. While the trade did not pan out, I walked away pocketing $.81 for being wrong.
submitted by OptionsBrewers to options [link] [comments]

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submitted by WeAreFanatical to GameDeals [link] [comments]

Subreddit Demographic Survey 2020 : The Results

2020 Childfree Subreddit Survey

1. Introduction

Once a year, this subreddit hosts a survey in order to get to know the community a little bit and in order to answer questions that are frequently asked here. Earlier this summer, several thousand of you participated in the 2020 Subreddit Demographic Survey. Only those participants who meet our wiki definition of being childfree's results were recorded and analysed.
Of these people, multiple areas of your life were reviewed. They are separated as follows:

2. Methodology

Our sample is redditors who saw that we had a survey currently active and were willing to complete the survey. A stickied post was used to advertise the survey to members.

3. Results

The raw data may be found via this link.
7305 people participated in the survey from July 2020 to October 2020. People who did not meet our wiki definition of being childfree were excluded from the survey. The results of 5134 responders, or 70.29% of those surveyed, were collated and analysed below. Percentages are derived from the respondents per question.

General Demographics

Age group

Age group Participants Percentage
18 or younger 309 6.02%
19 to 24 1388 27.05%
25 to 29 1435 27.96%
30 to 34 1089 21.22%
35 to 39 502 9.78%
40 to 44 223 4.35%
45 to 49 81 1.58%
50 to 54 58 1.13%
55 to 59 25 0.49%
60 to 64 13 0.25%
65 to 69 7 0.14%
70 to 74 2 0.04%
82.25% of the sub is under the age of 35.

Gender and Gender Identity

Age group Participants # Percentage
Agender 62 1.21%
Female 3747 73.04%
Male 1148 22.38%
Non-binary 173 3.37%

Sexual Orientation

Sexual Orientation Participants # Percentage
Asexual 379 7.39%
Bisexual 1177 22.93%
Heterosexual 2833 55.20%
Homosexual 264 5.14%
It's fluid 152 2.96%
Other 85 1.66%
Pansexual 242 4.72%

Birth Location

Because the list contains over 120 countries, we'll show the top 20 countries:
Country of birth Participants # Percentage
United States 2775 57.47%
United Kingdom 367 7.60%
Canada 346 7.17%
Australia 173 3.58%
Germany 105 2.17%
Netherlands 67 1.39%
India 63 1.30%
Poland 57 1.18%
France 47 0.97%
New Zealand 42 0.87%
Mexico 40 0.83%
Brazil 40 0.83%
Sweden 38 0.79%
Finland 31 0.64%
South Africa 30 0.62%
Denmark 28 0.58%
China 27 0.56%
Ireland 27 0.56%
Phillipines 24 0.50%
Russia 23 0.48%
90.08% of the participants were born in these countries.
These participants would describe their current city, town or neighborhood as:
Region Participants # Percentage
Rural 705 13.76
Suburban 2661 51.95
Urban 1756 34.28

Ethnicity

Ethnicity Participants # Percentage
African Descent/Black 157 3.07%
American Indian or Alaskan Native 18 0.35%
Arabic/Middle Eastern/Near Eastern 34 0.66%
Bi/Multiracial 300 5.86%
Caucasian/White 3946 77.09%
East Asian 105 2.05%
Hispanic/Latinx 271 5.29%
Indian/South Asian 116 2.27%
Indigenous Australian/Torres Straight IslandeMaori 8 0.16%
Jewish (the ethnicity, not religion) 50 0.98%
Other 32 0.63%
Pacific IslandeMelanesian 4 0.08%
South-East Asian 78 1.52%

Education

Highest Current Level of Education

Highest Current Level of Education Participants # Percentage
Associate's degree 233 4.55%
Bachelor's degree 1846 36.05%
Did not complete elementary school 2 0.04%
Did not complete high school 135 2.64%
Doctorate degree 121 2.36%
Graduated high school / GED 559 10.92%
Master's degree 714 13.95%
Post Doctorate 19 0.37%
Professional degree 107 2.09%
Some college / university 1170 22.85%
Trade / Technical / Vocational training 214 4.18%
Degree (Major) Participants # Percentage
Architecture 23 0.45%
Arts and Humanities 794 15.54%
Business and Economics 422 8.26%
Computer Science 498 9.75%
Education 166 3.25%
Engineering Technology 329 6.44%
I don't have a degree or a major 1028 20.12%
Law 124 2.43%
Life Sciences 295 5.77%
Medicine and Allied Health 352 6.89%
Other 450 8.81%
Physical Sciences 199 3.89%
Social Sciences 430 8.41%

Career and Finances

The top 10 industries our participants are working in are:
Industry Participants # Percentage
Information Technology 317 6.68%
Health Care 311 6.56%
Education - Teaching 209 4.41%
Engineering 203 4.28%
Retail 182 3.84%
Government 172 3.63%
Admin & Clerical 154 3.25%
Restaurant - Food Service 148 3.12%
Customer Service 129 2.72%
Design 127 2.68%
Note that "other", "I'm a student", "currently unemployed" and "I'm out of the work force for health or other reasons" have been disregarded for this part of the evaluation.
Out of the 3729 participants active in the workforce, the majority (1824 or 48.91%) work between 40-50 hours per week with 997 or 26.74% working 30-40 hours weekly. 6.62% work 50 hours or more per week, and 17.73% less than 30 hours.
513 or 10.13% are engaged in managerial responsibilities (ranging from Jr. to Sr. Management).
On a scale of 1 (lowest) to 10 (highest), the overwhelming majority (3340 or 70%) indicated that career plays a very important role in their lives, attributing a score of 7 and higher.
1065 participants decided not to disclose their income brackets. The remaining 4,849 are distributed as follows:
Income Participants # Percentage
$0 to $14,999 851 21.37%
$15,000 to $29,999 644 16.17%
$30,000 to $59,999 1331 33.42%
$60,000 to $89,999 673 16.90%
$90,000 to $119,999 253 6.35%
$120,000 to $149,999 114 2.86%
$150,000 to $179,999 51 1.28%
$180,000 to $209,999 25 0.63%
$210,000 to $239,999 9 0.23%
$240,000 to $269,999 10 0.25%
$270,000 to $299,999 7 0.18%
$300,000 or more 15 0.38%
87.85% earn under $90,000 USD a year.
65.82% of our childfree participants do not have a concrete retirement plan (savings, living will).

Religion and Spirituality

Faith Originally Raised In

There were more than 50 options of faith, so we aimed to show the top 10 most chosen beliefs.
Faith Participants # Percentage
Catholicism 1573 30.76%
None (≠ Atheism. Literally, no notion of spirituality or religion in the upbringing) 958 18.73%
Protestantism 920 17.99%
Other 431 8.43%
Atheism 318 6.22%
Agnosticism 254 4.97%
Anglicanism 186 3.64%
Judaism 77 1.51%
Hinduism 75 1.47%
Islam 71 1.39%
This top 10 amounts to 95.01% of the total participants.

Current Faith

There were more than 50 options of faith, so we aimed to show the top 10 most chosen beliefs:
Faith Participants # Percentage
Atheism 1849 36.23%
None (≠ Atheism. Literally, no notion of spirituality or religion currently) 1344 26.33%
Agnosticism 789 15.46%
Other 204 4.00%
Protestantism 159 3.12%
Paganism 131 2.57%
Spiritualism 101 1.98%
Catholicism 96 1.88%
Satanism 92 1.80%
Wicca 66 1.29%
This top 10 amounts to 94.65% of the participants.

Level of Current Religious Practice

Level Participants # Percentage
Wholly seculanon religious 3733 73.73%
Identify with religion, but don't practice strictly 557 11.00%
Lapsed/not serious/in name only 393 7.76%
Observant at home only 199 3.93%
Observant at home. Church/Temple/Mosque/etc. attendance 125 2.47%
Strictly observant, Church/Temple/Mosque/etc. attendance, religious practice/prayeworship impacting daily life 56 1.11%

Effect of Faith over Childfreedom

Figure 1

Effect of Childfreedom over Faith

Figure 2

Romantic and Sexual Life

Current Dating Situation

Status Participants # Percentage
Divorced 46 0.90%
Engaged 207 4.04%
Long term relationship, living together 1031 20.10%
Long term relationship, not living with together 512 9.98%
Married 1230 23.98%
Other 71 1.38%
Separated 18 0.35%
Short term relationship 107 2.09%
Single and dating around, but not looking for anything serious 213 4.15%
Single and dating around, looking for something serious 365 7.12%
Single and not looking 1324 25.81%
Widowed 5 0.10%

Childfree Partner

Is your partner childfree? If your partner wants children and/or has children of their own and/or are unsure about their position, please consider them "not childfree" for this question.
Partner Participants # Percentage
I don't have a partner 1922 37.56%
I have more than one partner and none are childfree 3 0.06%
I have more than one partner and some are childfree 35 0.68%
I have more than one partner and they are all childfree 50 0.98
No 474 9.26%
Yes 2633 51.46%

Dating a Single Parent

Would the childfree participants be willing to date a single parent?
Answer Participants # Percentage
No, I'm not interested in single parents and their ties to parenting life 4610 90.13%
Yes, but only if it's a short term arrangement of some sort 162 3.17%
Yes, whether for long term or short term, but with some conditions (must not have child custody, no kid talk, etc.), as long as I like them and long as we're compatible 199 3.89%
Yes, whether for long term or short term, with no conditions, as long as I like them and as long as we are compatible 144 2.82%

Childhood and Family Life

On a scale from 1 (very unhappy) to 10 (very happy), how would you rate your childhood?
Figure 3
Of the 5125 childfree people who responded to the question, 67.06% have a pet or are heavily involved in the care of someone else's pet.

Sterilisation

Sterilisation Status

Sterilisation Status Participants # Percentage
No, I am not sterilised and, for medical, practical or other reasons, I do not need to be 869 16.96%
No. However, I've been approved for the procedure and I'm waiting for the date to arrive 86 1.68%
No. I am not sterilised and don't want to be 634 12.37%
No. I want to be sterilised but I have started looking for a doctorequested the procedure 594 11.59%
No. I want to be sterilised but I haven't started looking for a doctorequested the procedure yet 2317 45.21%
Yes. I am sterilised 625 12.20%

Age when starting doctor shopping or addressing issue with doctor. Percentages exclude those who do not want to be sterilised and who have not discussed sterilisation with their doctor.

Age group Participants # Percentage
18 or younger 207 12.62%
19 to 24 588 35.85%
25 to 29 510 31.10%
30 to 34 242 14.76%
35 to 39 77 4.70%
40 to 44 9 0.55%
45 to 49 5 0.30%
50 to 54 1 0.06%
55 or older 1 0.06%

Age at the time of sterilisation. Percentages exclude those who have not and do not want to be sterilised.

Age group Participants # Percentage
18 or younger 5 0.79%
19 to 24 123 19.34%
25 to 29 241 37.89%
30 to 34 168 26.42%
35 to 39 74 11.64%
40 to 44 19 2.99%
45 to 49 1 0.16%
50 to 54 2 0.31%
55 or older 3 0.47%

Elapsed time between requesting procedure and undergoing procedure. Percentages exclude those who have not and do not want to be sterilised.

Time Participants # Percentage
Less than 3 months 330 50.46%
Between 3 and 6 months 111 16.97%
Between 6 and 9 months 33 5.05%
Between 9 and 12 months 20 3.06%
Between 12 and 18 months 22 3.36%
Between 18 and 24 months 15 2.29%
Between 24 and 30 months 6 0.92%
Between 30 and 36 months 2 0.31%
Between 3 and 5 years 40 6.12%
Between 5 and 7 years 25 3.82%
More than 7 years 50 7.65%

How many doctors refused at first, before finding one who would accept?

Doctor # Participants # Percentage
None. The first doctor I asked said yes 604 71.73%
One. The second doctor I asked said yes 93 11.05%
Two. The third doctor I asked said yes 54 6.41%
Three. The fourth doctor I asked said yes 29 3.44%
Four. The fifth doctor I asked said yes 12 1.43%
Five. The sixth doctor I asked said yes 8 0.95%
Six. The seventh doctor I asked said yes 10 1.19%
Seven. The eighth doctor I asked said yes 4 0.48%
Eight. The ninth doctor I asked said yes 2 0.24%
I asked more than 10 doctors before finding one who said yes 26 3.09%

Childfreedom

Primary Reason to Not Have Children

Reason Participants # Percentage
Aversion towards children ("I don't like children") 1455 28.36%
Childhood trauma 135 2.63%
Current state of the world 110 2.14%
Environmental (including overpopulation) 158 3.08%
Eugenics ("I have 'bad genes'") 57 1.11%
Financial 175 3.41%
I already raised somebody else who isn't my child 83 1.62%
Lack of interest towards parenthood ("I don't want to raise children") 2293 44.69%
Maybe interested for parenthood, but not suited for parenthood 48 0.94%
Medical ("I have a condition that makes conceiving/bearing/birthing children difficult, dangerous or lethal") 65 1.27%
Other 68 1.33%
Philosophical / Moral (e.g. antinatalism) 193 3.76%
Tokophobia (aversion/fear of pregnancy and/or chidlbirth) 291 5.67%
95.50% of childfree people are pro-choice, however only 55.93% of childfree people support financial abortion.

Dislike Towards Children

Figure 4

Working With Children

Work Participants # Percentage
I'm a student and my future job/career will heavily makes me interact with children on a daily basis 67 1.30%
I'm retired, but I used to have a job that heavily makes me interact with children on a daily basis 6 0.12%
I'm unemployed, but I used to have a job that heavily makes me interact with children on a daily basis 112 2.19%
No, I do not have a job that makes me heavily interact with children on a daily basis 4493 87.81%
Other 148 2.89%
Yes, I do have a job that heavily makes me interact with children on a daily basis 291 5.69%

4. Discussion

Child Status

This section solely existed to sift the childfree from the fencesitters and the non childfree in order to get answers only from the childfree. Childfree, as it is defined in the subreddit, is "I do not have children nor want to have them in any capacity (biological, adopted, fostered, step- or other) at any point in the future." 70.29% of participants actually identify as childfree, slightly up from the 2019 survey, where 68.5% of participants identified as childfree. This is suprising in reflection of the overall reputation of the subreddit across reddit, where the subreddit is often described as an "echo chamber".

General Demographics

The demographics remain largely consistent with the 2019 survey. However, the 2019 survey collected demographic responses from all participants in the survey, removing those who did not identify as childfree when querying subreddit specific questions, while the 2020 survey only collected responses from people who identified as childfree. This must be considered when comparing results.
82.25% of the participants are under 35, compared with 85% of the subreddit in the 2019 survey. A slight downward trend is noted compared over the last two years suggesting the userbase may be getting older on average. 73.04% of the subreddit identify as female, compared with 71.54% in the 2019 survey. Again, when compared with the 2019 survey, this suggests a slight increase in the number of members who identify as female. This is in contrast to the overall membership of Reddit, estimated at 74% male according to Reddit's Wikipedia page [https://en.wikipedia.org/wiki/Reddit#Users_and_moderators]. The ratio of members who identify as heterosexual remained consistent, from 54.89% in the 2019 survey to 55.20% in the 2020 survey.
Ethnicity wise, 77% of members identified as primarily Caucasian, consistent with the 2019 results. While the ethnicities noted to be missing in the 2019 survey have been included in the 2020 survey, some users noted the difficulty of responding when fitting multiple ethnicities, and this will be addressed in the 2021 survey.

Education level

As it did in the 2019 survey, this section highlights the stereotype of childfree people as being well educated. 2.64% of participants did not complete high school, which is a slight decrease from the 2019 survey, where 4% of participants did not graduate high school. However, 6.02% of participants are under 18, compared with 8.22% in the 2019 survey. 55% of participants have a bachelors degree or higher, while an additional 23% have completed "some college or university".
At the 2020 survey, the highest percentage of responses under the: What is your degree/major? question fell under "I don't have a degree or a major" (20.12%). Arts and Humanities, and Computer Science have overtaken Health Sciences and Engineering as the two most popular majors. However, the list of majors was pared down to general fields of study rather than highly specific degree majors to account for the significant diversity in majors studied by the childfree community, which may account for the different results.

Career and Finances

The highest percentage of participants at 21.61% listed themselves as trained professionals.
One of the stereotypes of the childfree is of wealth. However this is not demonstrated in the survey results. 70.95% of participants earn under $60,000 USD per annum, while 87.85% earn under $90,000 per annum. 21.37% are earning under $15,000 per annum. 1065 participants, or 21.10% chose not to disclose this information. It is possible that this may have skewed the results if a significant proportion of these people were our high income earners, but impossible to explore.
A majority of our participants work between 30 and 50 hours per week (75.65%) which is slightly increased from the 2019 survey, where 71.2% of participants worked between 30 and 50 hours per week.

Location

The location responses are largely similar to the 2019 survey with a majority of participants living in a suburban and urban area. 86.24% of participants in the 2020 survey live in urban and suburban regions, with 86.7% of participants living in urban and suburban regions in the 2019 survey. There is likely a multifactorial reason for this, encompassing the younger, educated skew of participants and the easier access to universities and employment, and the fact that a majority of the population worldwide localises to urban centres. There may be an element of increased progressive social viewpoints and identities in urban regions, however this would need to be explored further from a sociological perspective to draw any definitive conclusions.
A majority of our participants (57.47%) were born in the USA. The United Kingdom (7.6%), Canada (7.17%), Australia (3.58%) and Germany (2.17%) encompass the next 4 most popular responses. This is largely consistent with the responses in the 2019 survey.

Religion and Spirituality

For the 2020 survey Christianity (the most popular result in 2019) was split into it's major denominations, Catholic, Protestant, Anglican, among others. This appears to be a linguistic/location difference that caused a lot of confusion among some participants. However, Catholicism at 30.76% remained the most popular choice for the religion participants were raised in. However, of our participant's current faith, Aetheism at 36.23% was the most popular choice. A majority of 78.02% listed their current religion as Aetheist, no religious or spiritual beliefs, or Agnostic.
A majority of participants (61%) rated religion as "not at all influential" to the childfree choice. This is consistent with the 2019 survey where 62.8% rated religion as "not at all influential". Despite the high percentage of participants who identify as aetheist or agnostic, this does not appear to be related to or have an impact on the childfree choice.

Romantic and Sexual Life

60.19% of our participants are in a relationship at the time of the survey. This is consistent with the 2019 survey, where 60.7% of our participants were in a relationship. A notable proportion of our participants are listed as single and not looking (25.81%) which is consistent with the 2019 survey. Considering the frequent posts seeking dating advice as a childfree person, it is surprising that such a high proportion of the participants are not actively seeking out a relationship. Unsurprisingly 90.13% of our participants would not consider dating someone with children. 84% of participants with partners of some kind have at least one childfree partner. This is consistent with the often irreconcilable element of one party desiring children and the other wishing to abstain from having children.

Childhood and Family Life

Overall, the participants skew towards a happier childhood.

Sterilisation

While just under half of our participants wish to be sterilised, 45.21%, only 12.2% have been successful in achieving sterilisation. This is likely due to overarching resistance from the medical profession however other factors such as the logistical elements of surgery and the cost may also contribute. There is a slight increase from the percentage of participants sterilised in the 2019 survey (11.7%). 29.33% of participants do not wish to be or need to be sterilised suggesting a partial element of satisfaction from temporary birth control methods or non-necessity of contraception due to their current lifestyle practices. Participants who indicated that they do not wish to be sterilised or haven't achieved sterilisation were excluded from the percentages where necessary in this section.
Of the participants who did achieve sterilisation, a majority began the search between 19 and 29, with the highest proportion being in the 19-24 age group (35.85%) This is a marked increase from the 2019 survey where 27.3% of people who started the search were between 19-24. This may be due to increased education about permanent contraception or possibly due to an increase in instability around world events.
The majority of participants who sought out and were successful at achieving sterilisation, were however in the 25-29 age group (37.9%). This is consistent with the 2019 survey results.
The time taken between seeking out sterilisation and achieving it continues to increase, with only 50.46% of participants achieving sterilisation in under 3 months. This is a decline from the number of participants who achieved sterilisation in 3 months in the 2019 survey (58.5%). A potential cause of this decrease is to Covid-19 shutdowns in the medical industry leading to an increase in procedure wait times. The proportion of participants who have had one or more doctors refuse to perform the procedure has stayed consistent between the two surveys.

Childfreedom

The main reasons for people choosing the childfree lifestyle are a lack of interest towards parenthood and an aversion towards children which is consistent with the 2019 survey. Of the people surveyed 67.06% are pet owners or involved in a pet's care, suggesting that this lack of interest towards parenthood does not necessarily mean a lack of interest in all forms of caretaking. The community skews towards a dislike of children overall which correlates well with the 87.81% of users choosing "no, I do not have, did not use to have and will not have a job that makes me heavily interact with children on a daily basis" in answer to, "do you have a job that heavily makes you interact with children on a daily basis?". This is an increase from the 2019 survey.
A vast majority of the subreddit identifes as pro-choice (95.5%), a slight increase from the 2019 results. This is likely due to a high level of concern about bodily autonomy and forced birth/parenthood. However only 55.93% support financial abortion, aka for the non-pregnant person in a relationship to sever all financial and parental ties with a child. This is a marked decrease from the 2019 results, where 70% of participants supported financial abortion.
Most of our users realised that did not want children young. 58.72% of participants knew they did not want children by the age of 18, with 95.37% of users realising this by age 30. This correlates well with the age distribution of participants. Despite this early realisation of our childfree stance, 80.59% of participants have been "bingoed" at some stage in their lives.

The Subreddit

Participants who identify as childfree were asked about their interaction with and preferences with regards to the subreddit at large. Participants who do not meet our definition of being childfree were excluded from these questions.
By and large our participants were lurkers (72.32%). Our participants were divided on their favourite flairs with 38.92% selecting "I have no favourite". The next most favourite flair was "Rant", at 16.35%. Our participants were similarly divided on their least favourite flair, with 63.40% selecting "I have no least favourite". In light of these results the flairs on offer will remain as they have been through 2019.
With regards to "lecturing" posts, this is defined as a post which seeks to re-educate the childfree on the practices, attitudes and values of the community, particularly with regards to attitudes towards parenting and children, whether at home or in the community. A commonly used descriptor is "tone policing". A small minority of the survey participants (3.36%) selected "yes" to allowing all lectures, however 33.54% responded "yes" to allowing polite, respectful lectures only. In addition, 45.10% of participants indicated that they were not sure if lectures should be allowed. Due to the ambiguity of responses, lectures will continue to be not allowed and removed.
Many of our participants (36.87%) support the use of terms such as breeder, mombie/moo, daddict/duh on the subreddit, with a further 32.63% supporting use of these terms in context of bad parents only. This is a slight drop from the 2019 survey. In response to this use of the above and similar terms to describe parents remains permitted on this subreddit. However, we encourage users to keep the use of these terms to bad parents only.
44.33% of users support the use of terms to describe children such as crotchfruit on the subreddit, a drop from 55.3% last year. A further 25.80% of users supporting the use of this and similar terms in context of bad children only, an increase from 17.42% last year. In response to this use of the above and similar terms to describe children remains permitted on this subreddit.
69.17% of participants answered yes to allowing parents to post, provided they stay respectful. In response to this, parent posts will continue to be allowed on the subreddit. As for regret posts, which were to be revisited in this year's survey, only 9.5% of participants regarded them as their least favourite post. As such they will continue to stay allowed.
64% of participants support under 18's who are childfree participating in the subreddit with a further 19.59% allowing under 18's to post dependent on context. Therefore we will continue to allow under 18's that stay within the overall Reddit age requirement.
There was divide among participants as to whether "newbie" questions should be removed. An even spread was noted among participants who selected remove and those who selected to leave them as is. We have therefore decided to leave them as is. 73.80% of users selected "yes, in their own post, with their own "Leisure" flair" to the question, "Should posts about pets, travel, jetskis, etc be allowed on the sub?" Therefore we will continue to allow these posts provided they are appropriately flaired.

5. Conclusion

Thank you to our participants who contributed to the survey. This has been an unusual and difficult year for many people. Stay safe, and stay childfree.

submitted by Mellenoire to childfree [link] [comments]

Undefeated roulette tricks vs forex?

i'm new in this forex stuff (not even starting yet) & first time visiting Forex. But i've read that forex basically gambling (guessing either it goes up or down, and you got previous data as reference). I'm also read about foolproof gambling tricks that works in real life roulette. Basically it goes like this :
  1. bet $1 on red - if you win, repeat step 1.
  2. if you lose, bet $3. if you win, repeat step 1.
  3. if you lose again, bet $6. if you win, repeat step 1.
  4. if you lose again, bet $14. if you win repeat step 1.
  5. if you lose again, bet $31. if you win, repeat step 1
so, can this be apply on forex trading? (there's lot ads about forex trading apps, thinking to try it) can't profit big, but seem cant lose either. might be a good strategy. any thought?
edit 1 : what i mean in this forex is binary options, which some forex trading apps operates.
edit 2 : it takes 5 unlucky trading before $55 account blown off. is that really common to get 5 unlucky trading in a row?
edit 3 : here's the math (cnp from reply)
some forex apps (like expert option or olymp trade) operate on binary option (this is unregulated securities?) where usually they give 80% return on trade. the math goes like this :
  1. $1 trade and win = $0.80 profit
  2. lose then $3 trade and win = $2.4 - $1 (lose) = $1.4 profit
  3. lose then $6 trade and win = $4.8 - $4 (lose) = $0.8 profit
  4. lose then $14 trade and win = $11.2 - $10 (lose) = $1.2 profit
  5. lose then $31 trade and win = $24.8 - $24 (lose) = $0.8 profit
edit 4 : some reply said **binary options type forex trading apps** are scam & fraud. bummer. maybe trading via smartphone isnt easy as i thought.
edit 5 : still, add some ability to reading indicator & chart could help avoiding 5 unlucky trading in a row. damn, if i'm a programmer, i'll make a trading bots based on this idea xD

submitted by Nam3AlreadyTaken to Forex [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.”

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)

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:
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
“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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)

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!
(CLICK HERE FOR THE CHART!)
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.
(CLICK HERE FOR THE CHART!)
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%!
(CLICK HERE FOR THE CHART!)

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.
(CLICK HERE FOR THE CHART!)
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!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 8.16.20

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • NOTABLE TICKERS REMOVED DUE TO STOCKS AUTO MOD
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 8.17.20 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 8.17.20 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 8.18.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 8.18.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 8.19.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 8.19.20 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 8.20.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

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:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

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.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead stocks.
submitted by bigbear0083 to stocks [link] [comments]

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