Historical Stock Option Volatility Data OptionMetrics

# /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
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:
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:

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.


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.
- Lily
submitted by the_lilypad to thecorporation [link] [comments]

/r/reddevils 2020 Census Results

Thank you for taking part of the 2020 edition of /reddevils' census! We had 3,459 responses over the course of several days, and increase of .
Here are the results!
With a year passing, it's understandable that our user base has also aged. What is interesting is that while last year 59.5% of the userbase indicated that they were 25 and younger, only 46.1% did so this year. Given that there was also a large increase in respondents for the "26-30" age group, it seems that we had a lot of 25 year old folks responding last year. Here is a chart showing the break out by age group and also an age distribution graph. I've included also a year-over-year comparison this year. These do not represent percent change but rather simple subtraction. For example, the 4.1% increase seen in the "26-30" age group comes from this year's "26-30" being 29.17% of this years census responses vs. only being 25.07% last year.
Conclusion? We're getting old folks.
As with every census we've run, /reddevils is overwhelmingly male. 96.2% of respondents indicated that they were male which translates to 3,328 out of the 3,459 responses. The number of ladies here increased greatly compared to last year with 72, up from 28 in 2019. 18 respondents declined to specify their gender while 41 responded with another gender.
Our resident Wookiees have increased in number to 3, up from 1 last year and in the 2012 census. 2 respondents responded as being Non-binary as well as 2 indicated that they were Olesexual. Each of the following received one response apiece: Coca Cola Can, Lockheed Martin F-35 Lightning II, Cube, Moderator, Divine Enlightened Energy Being, Two-Horned Rainbow Unicorn, Earthworm, Bisexual Leprechaun (who, surprisingly was not from Ireland but rather the Land Down Under), Absolute Chad, Anti-Virus, Attack Titan, Neymar, Ole-Wan Keaneobi, Parrot Lord, Frank Lampard, Optimus Prime, Potato, Slightly Under Ripe Kumquat, Gek (Geek?), Twin Engine Rafale Fighter Jet, Gender Is A Construct, Vulcan, Washing Machine, Wolfbrother, Juggernaut, Woolly Mammoth, Luke Shaw's Masculine Bottom, and Mail. There was also one respondent who deigned to use the "Other" option here to leave me a very rude message. Guess you can't please everyone.
Most of the reds are employed (75.3% across the Employed, Student Employed, and Self Employed categories), up from last years' 71.5%. Given the current state of the world, it is nice to see that most are still employed. Our student population has gone down, understadably, from 37.4% across the two student categories to 30.0%. A full breakdown of the year-over-year changes can be seen here. Our retirees increased in number from 1 last year to 11 this. Enjoy retirement sirs/madams.
As expected, the majority of /reddevils is UK or US based (25.85% and 25.93%, respectively). We have seen major changes this year, particularly in relation to Scandinavia, which saw the largest increase in percentage points year-over-year. I wonder what happened there.
If we're breaking it down by the regions I arbitrarily put into the census form, UK (England) is the clear winner for a second year running with 569 members reporting living in England and another 184 specifically saying they are in Manchester.
I received some feedback about covering large areas with a single region. This was largely driven by how few responses had come from these these regions historically. I'll include a few more next year but please do not expect me to list every one of the the 195 countries in the world. I've also received some feedback about not allowing any options for folks with family ties or had grown up in England/Manchester and had moved away. This will also be included in next years census.
Season TicketholdeMatches Attended
Overwhelmingly, most of us here are not season ticketholders (97.95%). We did see an increase in those who are, though it is fairly minor.
Most folks are unable to attend games as well. The number of fans who do go to many games (16+ per season) more than tripled from last year. You all are the real MVPs.
How long have you been following football/Manchester United?
Understandably, we don't have a whole lot of new fans. Interestingly enough though, we've had a large increase in folks who have started following football regularly in the last 1-3 years despite having followed United for longer than that. Putting on my tin foil hat, that at least makes me think we're more fun to watch these days.
How long have you been a subscriber to /reddevils and how do you usually access Reddit?
There are a lot of new-ish users with 63.6% reporting they have subscribed here for less than 3 years. We have a decent number of /reddevils veterans however, 154 users indicated that they had been subscribed for more than 8 years. It's good to see the old guard still around.
Unsurprisingly, Reddit apps are the most popular method to access Reddit by far. This is followed by Old Reddit users on Desktop, users of the Mobile Reddit website, and then New Reddit users coming in dead last. Long live old Reddit.
Favorite Current Player
The mood around this question was incredibly different than last year. Last year, many were vocal indicating that they had a hard time choosing due to our squad being shit. Victor Lindelof ended up being the by and large favorite with around a quarter of the votes, followed by Paul Pogba and Marcus Rashford.
This year, it appeared that there were no such issues. Only 1 response in the survey indicated that they couldn't choose because our squad was shit while the vast majority either selected a player or indicated that they loved them all. Prime Minister Doctor Sir Marcus Rashford overwhelmingly came in first place with an almost 300 vote lead over second placed Anthony Martial. Bruno Fernandes and Mason Greenwood were neck and neck for a while, eventually settling into third and fourth respectively.
Former crowd favorites Victor Lindelof and Paul Pogba fell down the rankings with Lindelof ending in 8th place and Pogba in 5th.
Favorite All Time Player
Wayne Rooney continued to the be the king of /reddevils amassing nearly double the votes of second placed Paul Scholes. Cristiano Ronaldo came in third after a very tight race with Scholes. Beckham came in fourth followed by fifth placed Cantona and sixth placed Giggsy.
Here is a year-over-year comparison purely on recorded responses. Most players received just about the same share of the votes as they did last year. The biggest changes came from Wayne Rooney (up) and David Beckham (down). The way the numbers land, it almost looks like Wazza was stealing votes from Becks! Ole Gunnar Solskjaer had more of the proverbial pie, again I wonder whats happened there.
My man Park Ji Sung came in 11th place, good to see that there are at least 58 Park lovers out there!
Now for a bit of fun. Someone asked in the Census thread how many of George Best's votes came from Northern Ireland. One user suggested it was all of them, the data on the other hand says otherwise. Only 10 of Best's 29 votes came from Northern Ireland. George Best tied for favorite player there with Wayne Rooney with Paul Scholes and Cristiano Ronaldo tying for 3rd place with 8 votes apiece.
I did this same exercise with a few other players. Here are the results:
  • While Scandinavians votes were joint-most for Ole Gunnar Solskjaer (tied with the UK), he was not the most popular player among respondents living in Scandinavia. He came in second behind Wayne Rooney.
  • Roy Keane both received the most votes from the Republic of Ireland and was also the most popular player among Irish respondents.
  • Eric Cantona was not voted heavily by the French. The British, on the other hand, love him with 82 of his 218 votes coming from the United Kingdom. The majority of Cantona voters are older, with 134/218 being over 30 years of age.
  • Park Ji Sung received the most votes from the US (21) followed by the UK (19) and Southeast Asia (4).
  • Among respondents from the United Kingdom, Wayne Rooney was the most popular followed by Scholes, Ronaldo, and Cantona.
  • Among respondents from the United States, South Asia, and Southeast Asia, Wayne Rooney was the most popular. Scholes and Ronaldo alternated in popularity in second and third place. Beckham placed fourth in all three regions.
Thank you all again for your participation. We'll run one next year and see how things have changed!
submitted by zSolaris to reddevils [link] [comments]

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:


Major Indices for this past week:


Major Futures Markets as of Friday's close:


Economic Calendar for the Week Ahead:


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


S&P Sectors for the Past Week:


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


Major Indices Rally Levels as of Friday's close:


Most Anticipated Earnings Releases for this week:


Here are the upcoming IPO's for this week:


Friday's Stock Analyst Upgrades & Downgrades:


4 Charts That Will Amaze You

The S&P 500 Index is a few points away from a new all-time high, completing one of the fastest recoveries from a bear market ever. But this will also seal the deal on the shortest bear market ever. Remember, the S&P 500 Index lost 20% from an all-time high in only 16 trading days back in February and March, so it makes sense that this recovery could be one of the fastest ever.
From the lows on March 23, the S&P 500 has now added more than 50%. Many have been calling this a bear market rally for months, while we have been in the camp this is something more. It’s easy to see why this rally is different based on where it stands versus other bear market rallies:
They say the stock market is the only place where things go on sale, yet everyone runs out of the store screaming. We absolutely saw that back in March and now with stocks near new highs, many have missed this record run. Here we show how stocks have been usually higher a year or two after corrections.
After a historic drop in March, the S&P 500 has closed higher in April, May, June, and July. This rare event has happened only 11 other times, with stocks gaining the final five months of the year a very impressive 10 times. Only 2018 and the nearly 20% collapse in December saw a loss those final five months.
As shown in the LPL Chart of the Day, this bear market will go down as the fastest ever, at just over one month. The recovery back to new highs will be five months if we get there by August 23, making this one of the fastest recoveries ever. Not surprisingly, it usually takes longer for bear markets in a recession to recover; only adding to the impressiveness of this rally.
“It normally takes 30 months for bear markets during a recession to recover their losses, which makes this recovery all the more amazing,” said LPL Financial Chief Market Strateigst Ryan Detrick.. “Then again, there has been nothing normal about this recession, so maybe we shouldn’t be shocked about yet another record going down in 2020.”

When a Few Basis Points Packs a Punch

US Treasury yields have been on the rise this week with the 10-year yield rising 13 basis points (bps) from 0.56% up to 0.69% after getting as high as 0.72% on Thursday. A 13 bps move higher in interest rates may not seem like a whole lot, but with rates already at such low levels, a small move can have a pretty big impact on the prices of longer-term maturities.
Starting with longer-term US Treasuries, TLT, which measures the performance of maturities greater than 20 years, has declined 3.5% this week. Now, for a growth stock, 3.5% is par for the course, but that kind of move in the Treasury market is no small thing. The latest pullback for TLT also coincides with another failed attempt by the ETF to trade and stay above $170 for more than a day.
The further out the maturity window you go in the fixed income market, the bigger the impact of the move higher in interest rates. The Republic of Austria issued a 100-year bond in 2017, and its movements exemplify the wild moves that small changes in interest rates (from a low base) can have on prices. Just this week, the Austrian 100-year was down over 5%, which is a painful move no matter what type of asset class you are talking about. This week's move, though, was nothing compared to the stomach-churning swings from earlier this year. When Covid was first hitting the fan, the 100-year rallied 57% in the span of less than two months. That kind of move usually occurs over years rather than days, but in less than a third of that time, all those gains disintegrated in a two-and-a-half week span from early to late March. Easy come, easy go. Ironically enough, despite all the big up and down moves in this bond over the last year, as we type this, the bond's price is the same now as it was on this same day last year.

Retail Sales Rock to New Highs

At the headline level, July’s Retail Sales report disappointed as the reading missed expectations by nearly a full percentage point. Just as soon as the report was released, we saw a number of stories pounce on the disappointment as a sign that the economy was losing steam. Looked at in more detail, though, the July report wasn’t all that bad. While the headline reading rose less than expected (1.2% vs 2.1%), Ex Autos and Ex Autos and Gas, the results were much better than expected. Not only that, but June’s original readings were all revised higher by around a full percentage point.
Besides the fact that this month’s report was better underneath the surface and June’s reading was revised higher, it was also notable as the seasonally-adjusted annualized rate of sales in July hit a new record high. After the last record high back in January, only five months passed until American consumers were back to their pre-Covid spending ways. For the sake of comparison, back during the Financial Crisis, 40 months passed between the original high in Retail Sales in November 2007 and the next record high in April 2011. 5 months versus 40? Never underestimate the power of the US consumer!
While the monthly pace of retail sales is back at all-time highs, the characteristics behind the total level of sales have changed markedly in the post COVID world. In our just released B.I.G. Tips report we looked at these changing dynamics to highlight the groups that have been the biggest winners and losers from the shifts.

100 Days of Gains

Today marked 100 trading days since the Nasdaq 100's March 20th COVID Crash closing low. Below is a chart showing the rolling 100-trading day percentage change of the Nasdaq 100 since 1985. The 59.8% gain over the last 100 trading days ranks as the 3rd strongest run on record. The only two stronger 100-day rallies ended in January 1999 and March 2000.
While the Nasdaq 100 bottomed on Friday, March 20th, the S&P 500 bottomed the following Monday (3/23). This means tomorrow will mark 100 trading days since the S&P 500's COVID Crash closing low. Right now the rolling 100-day percentage change for the S&P 500 sits at +46.7%. But if the S&P manages to trade at current levels tomorrow, the 100-day gain will jump above 50%. It has been 87 years (1933) since we've seen a 100-day gain of more than 50%!

B.I.G. Tips - New Highs In Sight

Whether you want to look at it from the perspective of closing prices or intraday levels, the S&P 500 is doing what just about everybody thought would be impossible less than five months ago - approaching record highs. Relative to its closing high of 3,386.15, the S&P 500 is just 0.27% lower, while it's within half of a percent from its record intraday high of 3,393.52. Through today, the S&P 500 has gone 120 trading days without a record high, and as shown in the chart below, the current streak is barely even visible when viewed in the perspective of all streaks since 1928. Even if we zoom in on just the last five years, the current streak of 120 trading days only ranks as the fourth-longest streak without a new high.
While the S&P 500's 120-trading day streak without a new high isn't extreme by historical standards, the turnaround off the lows has been extraordinary. In the S&P 500's history, there have been ten prior declines of at least 20% from a record closing high. Of those ten prior periods, the shortest gap between the original record high and the next one was 309 trading days, and the shortest gap between highs that had a pullback of at least 30% was 484 tradings days (or more than four times the current gap of 120 trading days). For all ten streaks without a record high, the median drought was 680 trading days.
Whenever the S&P 500 does take out its 2/19 high, the question is whether the new high represents a breakout where the S&P 500 keeps rallying into evergreen territory, or does it run out of gas after finally reaching a new milestone? To shed some light on this question, we looked at the S&P 500's performance following each prior streak of similar duration without a new high.

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending August 14th, 2020


STOCK MARKET VIDEO: ShadowTrader Video Weekly 8.16.20

Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
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:


Monday 8.17.20 After Market Close:


Tuesday 8.18.20 Before Market Open:


Tuesday 8.18.20 After Market Close:


Wednesday 8.19.20 Before Market Open:


Wednesday 8.19.20 After Market Close:


Thursday 8.20.20 Before Market Open:


Thursday 8.20.20 After Market Close:


Friday 8.21.20 Before Market Open:


Friday 8.21.20 After Market Close:


Walmart Inc. $132.60

Walmart Inc. (WMT) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, August 18, 2020. The consensus earnings estimate is $1.20 per share on revenue of $134.28 billion and the Earnings Whisper ® number is $1.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.51% with revenue increasing by 2.99%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 9.9% above its 200 day moving average of $120.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, August 11, 2020 there was some notable buying of 12,381 contracts of the $135.00 put expiring on Friday, August 21, 2020. Option traders are pricing in a 4.9% move on earnings and the stock has averaged a 2.3% move in recent quarters.


NVIDIA Corp. $462.56

NVIDIA Corp. (NVDA) is confirmed to report earnings at approximately 4:20 PM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $1.95 per share on revenue of $3.65 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $1.83 to $2.06 per share. Consensus estimates are for year-over-year earnings growth of 65.25% with revenue increasing by 41.53%. The stock has drifted higher by 31.0% from its open following the earnings release to be 57.7% above its 200 day moving average of $293.24. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 3,787 contracts of the $460.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 7.7% move on earnings and the stock has averaged a 4.0% move in recent quarters.


Alibaba Group Holding Ltd. $253.97

Alibaba Group Holding Ltd. (BABA) is confirmed to report earnings at approximately 7:10 AM ET on Thursday, August 20, 2020. The consensus earnings estimate is $1.99 per share on revenue of $21.13 billion and the Earnings Whisper ® number is $2.11 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.74% with revenue increasing by 26.22%. Short interest has increased by 30.1% since the company's last earnings release while the stock has drifted higher by 25.0% from its open following the earnings release to be 20.0% above its 200 day moving average of $211.59. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, August 7, 2020 there was some notable buying of 12,935 contracts of the $300.00 call expiring on Friday, November 20, 2020. Option traders are pricing in a 6.2% move on earnings and the stock has averaged a 3.1% move in recent quarters.


JD.com, Inc. $62.06

JD.com, Inc. (JD) is confirmed to report earnings at approximately 5:50 AM ET on Monday, August 17, 2020. The consensus earnings estimate is $0.38 per share on revenue of $26.98 billion and the Earnings Whisper ® number is $0.46 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 52.00% with revenue increasing by 23.25%. Short interest has increased by 16.7% since the company's last earnings release while the stock has drifted higher by 24.1% from its open following the earnings release to be 36.9% above its 200 day moving average of $45.34. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 12,799 contracts of the $62.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 8.0% move on earnings and the stock has averaged a 6.4% move in recent quarters.


Home Depot, Inc. $280.55

Home Depot, Inc. (HD) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, August 18, 2020. The consensus earnings estimate is $3.71 per share on revenue of $31.67 billion and the Earnings Whisper ® number is $3.75 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 17.03% with revenue increasing by 2.69%. Short interest has decreased by 39.8% since the company's last earnings release while the stock has drifted higher by 16.7% from its open following the earnings release to be 22.4% above its 200 day moving average of $229.20. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 14, 2020 there was some notable buying of 3,323 contracts of the $300.00 call expiring on Friday, August 28, 2020. Option traders are pricing in a 4.2% move on earnings and the stock has averaged a 2.5% move in recent quarters.


Lowe's Companies, Inc. $154.34

Lowe's Companies, Inc. (LOW) is confirmed to report earnings at approximately 6:00 AM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $2.93 per share on revenue of $21.29 billion and the Earnings Whisper ® number is $2.97 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 36.28% with revenue increasing by 1.42%. Short interest has decreased by 19.2% since the company's last earnings release while the stock has drifted higher by 25.9% from its open following the earnings release to be 31.2% above its 200 day moving average of $117.67. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 7, 2020 there was some notable buying of 1,994 contracts of the $170.00 call expiring on Friday, August 21, 2020. Option traders are pricing in a 6.0% move on earnings and the stock has averaged a 5.8% move in recent quarters.


Target Corp. $136.53

Target Corp. (TGT) is confirmed to report earnings at approximately 6:30 AM ET on Wednesday, August 19, 2020. The consensus earnings estimate is $1.56 per share on revenue of $19.30 billion and the Earnings Whisper ® number is $1.64 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 14.29% with revenue increasing by 4.77%. Short interest has decreased by 36.8% since the company's last earnings release while the stock has drifted higher by 10.0% from its open following the earnings release to be 18.0% above its 200 day moving average of $115.73. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, August 10, 2020 there was some notable buying of 4,479 contracts of the $135.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 6.3% move on earnings and the stock has averaged a 7.7% move in recent quarters.


Sea Limited $126.50

Sea Limited (SE) is confirmed to report earnings at approximately 6:30 AM ET on Tuesday, August 18, 2020. The consensus estimate is for a loss of $0.47 per share on revenue of $1.03 billion and the Earnings Whisper ® number is ($0.36) per share. Investor sentiment going into the company's earnings release has 74% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 34.29% with revenue increasing by 136.16%. Short interest has decreased by 8.5% since the company's last earnings release while the stock has drifted higher by 91.7% from its open following the earnings release to be 98.1% above its 200 day moving average of $63.87. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, August 4, 2020 there was some notable buying of 4,000 contracts of the $110.00 put expiring on Friday, January 15, 2021. Option traders are pricing in a 12.9% move on earnings and the stock has averaged a 16.7% move in recent quarters.


Niu Technologies $20.82

Niu Technologies (NIU) is confirmed to report earnings at approximately 3:00 AM ET on Monday, August 17, 2020. The consensus earnings estimate is $0.07 per share on revenue of $88.07 million and the Earnings Whisper ® number is $0.11 per share. Investor sentiment going into the company's earnings release has 57% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 30.00% with revenue increasing by 13.97%. Short interest has increased by 18.9% since the company's last earnings release while the stock has drifted higher by 129.8% from its open following the earnings release to be 90.3% above its 200 day moving average of $10.94. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 3.7% move on earnings in recent quarters.


BJ's Wholesale Club, Inc. $41.48

BJ's Wholesale Club, Inc. (BJ) is confirmed to report earnings at approximately 6:45 AM ET on Thursday, August 20, 2020. The consensus earnings estimate is $0.57 per share on revenue of $3.64 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 46.15% with revenue increasing by 8.79%. Short interest has decreased by 3.2% since the company's last earnings release while the stock has drifted higher by 33.8% from its open following the earnings release to be 46.7% above its 200 day moving average of $28.27. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, August 12, 2020 there was some notable buying of 2,119 contracts of the $50.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 12.4% move on earnings and the stock has averaged a 10.0% move in recent quarters.



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]

An introduction to Linux through Windows Subsystem for Linux

I'm working as an Undergraduate Learning Assistant and wrote this guide to help out students who were in the same boat I was in when I first took my university's intro to computer science course. It provides an overview of how to get started using Linux, guides you through setting up Windows Subsystem for Linux to run smoothly on Windows 10, and provides a very basic introduction to Linux. Students seemed to dig it, so I figured it'd help some people in here as well. I've never posted here before, so apologies if I'm unknowingly violating subreddit rules.

An introduction to Linux through Windows Subsystem for Linux

GitHub Pages link

Introduction and motivation

tl;dr skip to next section
So you're thinking of installing a Linux distribution, and are unsure where to start. Or you're an unfortunate soul using Windows 10 in CPSC 201. Either way, this guide is for you. In this section I'll give a very basic intro to some of options you've got at your disposal, and explain why I chose Windows Subsystem for Linux among them. All of these have plenty of documentation online so Google if in doubt.

Setting up WSL

So if you've read this far I've convinced you to use WSL. Let's get started with setting it up. The very basics are outlined in Microsoft's guide here, I'll be covering what they talk about and diving into some other stuff.

1. Installing WSL

Press the Windows key (henceforth Winkey) and type in PowerShell. Right-click the icon and select run as administrator. Next, paste in this command:
dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart 
Now you'll want to perform a hard shutdown on your computer. This can become unecessarily complicated because of Window's fast startup feature, but here we go. First try pressing the Winkey, clicking on the power icon, and selecting Shut Down while holding down the shift key. Let go of the shift key and the mouse, and let it shutdown. Great! Now open up Command Prompt and type in
wsl --help 
If you get a large text output, WSL has been successfully enabled on your machine. If nothing happens, your computer failed at performing a hard shutdown, in which case you can try the age-old technique of just holding down your computer's power button until the computer turns itself off. Make sure you don't have any unsaved documents open when you do this.

2. Installing Ubuntu

Great! Now that you've got WSL installed, let's download a Linux distro. Press the Winkey and type in Microsoft Store. Now use the store's search icon and type in Ubuntu. Ubuntu is a Debian-based Linux distribution, and seems to have the best integration with WSL, so that's what we'll be going for. If you want to be quirky, here are some other options. Once you type in Ubuntu three options should pop up: Ubuntu, Ubuntu 20.04 LTS, and Ubuntu 18.04 LTS.
![Windows Store](https://theshepord.github.io/intro-to-WSL/docs/images/winstore.png) Installing plain-old "Ubuntu" will mean the app updates whenever a new major Ubuntu distribution is released. The current version (as of 09/02/2020) is Ubuntu 20.04.1 LTS. The other two are older distributions of Ubuntu. For most use-cases, i.e. unless you're running some software that will break when upgrading, you'll want to pick the regular Ubuntu option. That's what I did.
Once that's done installing, again hit Winkey and open up Ubuntu. A console window should open up, asking you to wait a minute or two for files to de-compress and be stored on your PC. All future launches should take less than a second. It'll then prompt you to create a username and password. I'd recommend sticking to whatever your Windows username and password is so that you don't have to juggle around two different usepassword combinations, but up to you.
Finally, to upgrade all your packages, type in
sudo apt-get update 
And then
sudo apt-get upgrade 
apt-get is the Ubuntu package manager, this is what you'll be using to install additional programs on WSL.

3. Making things nice and crispy: an introduction to UNIX-based filesystems

tl;dr skip to the next section
The two above steps are technically all you need for running WSL on your system. However, you may notice that whenever you open up the Ubuntu app your current folder seems to be completely random. If you type in pwd (for Print Working Directory, 'directory' is synonymous with 'folder') inside Ubuntu and hit enter, you'll likely get some output akin to /home/. Where is this folder? Is it my home folder? Type in ls (for LiSt) to see what files are in this folder. Probably you won't get any output, because surprise surprise this folder is not your Windows home folder and is in fact empty (okay it's actually not empty, which we'll see in a bit. If you type in ls -a, a for All, you'll see other files but notice they have a period in front of them. This is a convention for specifying files that should be hidden by default, and ls, as well as most other commands, will honor this convention. Anyways).
So where is my Windows home folder? Is WSL completely separate from Windows? Nope! This is Windows Subsystem for Linux after all. Notice how, when you typed pwd earlier, the address you got was /home/. Notice that forward-slash right before home. That forward-slash indicates the root directory (not to be confused with the /root directory), which is the directory at the top of the directory hierarchy and contains all other directories in your system. So if we type ls /, you'll see what are the top-most directories in your system. Okay, great. They have a bunch of seemingly random names. Except, shocker, they aren't random. I've provided a quick run-down in Appendix A.
For now, though, we'll focus on /mnt, which stands for mount. This is where your C drive, which contains all your Windows stuff, is mounted. So if you type ls /mnt/c, you'll begin to notice some familiar folders. Type in ls /mnt/c/Users, and voilà, there's your Windows home folder. Remember this filepath, /mnt/c/Users/. When we open up Ubuntu, we don't want it tossing us in this random /home/ directory, we want our Windows home folder. Let's change that!

4. Changing your default home folder

Type in sudo vim /etc/passwd. You'll likely be prompted for your Ubuntu's password. sudo is a command that gives you root privileges in bash (akin to Windows's right-click then selecting 'Run as administrator'). vim is a command-line text-editing tool, which out-of-the-box functions kind of like a crummy Notepad (you can customize it infinitely though, and some people have insane vim setups. Appendix B has more info). /etc/passwd is a plaintext file that historically was used to store passwords back when encryption wasn't a big deal, but now instead stores essential user info used every time you open up WSL.
Anyway, once you've typed that in, your shell should look something like this: ![vim /etc/passwd](https://theshepord.github.io/intro-to-WSL/docs/images/vim-etc-passwd.png)
Using arrow-keys, find the entry that begins with your Ubuntu username. It should be towards the bottom of the file. In my case, the line looks like
See that cringy, crummy /home/pizzatron3000? Not only do I regret that username to this day, it's also not where we want our home directory. Let's change that! Press i to initiate vim's -- INSERT -- mode. Use arrow-keys to navigate to that section, and delete /home/ by holding down backspace. Remember that filepath I asked you to remember? /mnt/c/Users/. Type that in. For me, the line now looks like
Next, press esc to exit insert mode, then type in the following:
The : tells vim you're inputting a command, w means write, and q means quit. If you've screwed up any of the above sections, you can also type in :q! to exit vim without saving the file. Just remember to exit insert mode by pressing esc before inputting commands, else you'll instead be writing to the file.
Great! If you now open up a new terminal and type in pwd, you should be in your Window's home folder! However, things seem to be lacking their usual color...

5. Importing your configuration files into the new home directory

Your home folder contains all your Ubuntu and bash configuration files. However, since we just changed the home folder to your Window's home folder, we've lost these configuration files. Let's bring them back! These configuration files are hidden inside /home/, and they all start with a . in front of the filename. So let's copy them over into your new home directory! Type in the following:
cp -r /home//. ~ 
cp stands for CoPy, -r stands for recursive (i.e. descend into directories), the . at the end is cp-specific syntax that lets it copy anything, including hidden files, and the ~ is a quick way of writing your home directory's filepath (which would be /mnt/c/Users/) without having to type all that in again. Once you've run this, all your configuration files should now be present in your new home directory. Configuration files like .bashrc, .profile, and .bash_profile essentially provide commands that are run whenever you open a new shell. So now, if you open a new shell, everything should be working normally. Amazing. We're done!

6. Tips & tricks

Here are two handy commands you can add to your .profile file. Run vim ~/.profile, then, type these in at the top of the .profile file, one per line, using the commands we discussed previously (i to enter insert mode, esc to exit insert mode, :wq to save and quit).
alias rm='rm -i' makes it so that the rm command will always ask for confirmation when you're deleting a file. rm, for ReMove, is like a Windows delete except literally permanent and you will lose that data for good, so it's nice to have this extra safeguard. You can type rm -f to bypass. Linux can be super powerful, but with great power comes great responsibility. NEVER NEVER NEVER type in rm -rf /, this is saying 'delete literally everything and don't ask for confirmation', your computer will die. Newer versions of rm fail when you type this in, but don't push your luck. You've been warned. Be careful.
export DISPLAY=:0 if you install XLaunch VcXsrv, this line allows you to open graphical interfaces through Ubuntu. The export sets the environment variable DISPLAY, and the :0 tells Ubuntu that it should use the localhost display.

Appendix A: brief intro to top-level UNIX directories

tl;dr only mess with /mnt, /home, and maybe maybe /usr. Don't touch anything else.
  • bin: binaries, contains Ubuntu binary (aka executable) files that are used in bash. Here you'll find the binaries that execute commands like ls and pwd. Similar to /usbin, but bin gets loaded earlier in the booting process so it contains the most important commands.
  • boot: contains information for operating system booting. Empty in WSL, because WSL isn't an operating system.
  • dev: devices, provides files that allow Ubuntu to communicate with I/O devices. One useful file here is /dev/null, which is basically an information black hole that automatically deletes any data you pass it.
  • etc: no idea why it's called etc, but it contains system-wide configuration files
  • home: equivalent to Window's C:/Users folder, contains home folders for the different users. In an Ubuntu system, under /home/ you'd find the Documents folder, Downloads folder, etc.
  • lib: libraries used by the system
  • lib64 64-bit libraries used by the system
  • mnt: mount, where your drives are located
  • opt: third-party applications that (usually) don't have any dependencies outside the scope of their own package
  • proc: process information, contains runtime information about your system (e.g. memory, mounted devices, hardware configurations, etc)
  • run: directory for programs to store runtime information.
  • srv: server folder, holds data to be served in protocols like ftp, www, cvs, and others
  • sys: system, provides information about different I/O devices to the Linux Kernel. If dev files allows you to access I/O devices, sys files tells you information about these devices.
  • tmp: temporary, these are system runtime files that are (in most Linux distros) cleared out after every reboot. It's also sort of deprecated for security reasons, and programs will generally prefer to use run.
  • usr: contains additional UNIX commands, header files for compiling C programs, among other things. Kind of like bin but for less important programs. Most of everything you install using apt-get ends up here.
  • var: variable, contains variable data such as logs, databases, e-mail etc, but that persist across different boots.
Also keep in mind that all of this is just convention. No Linux distribution needs to follow this file structure, and in fact almost all will deviate from what I just described. Hell, you could make your own Linux fork where /mnt/c information is stored in tmp.

Appendix B: random resources

EDIT: implemented various changes suggested in the comments. Thanks all!
submitted by HeavenBuilder to linux4noobs [link] [comments]

Examination of Volatility in 2016

Disclaimer: See the note explaining the volatility figures in the comments.
There’s been a bit of talk about market volatility leading up to the election, so I thought I would provide some historic information about the 2016 election. I’m going to try to keep this apolitical and not make any predictions about the actual election results.
Let’s set up 2016. The election date was November 8, 2016 and the Clinton was the heavy favourite to beat Trump. Forecast-wise things were actually extremely similar to 2020 at this point, but in the last couple weeks leading into the election Trump did make up some significant ground. There was a lot of fear around the market leading up to the election with many suggestions that should Trump win that we would see a correction of 10+% and a run on precious metals.
2016 Polling Timeline: https://i.imgur.com/eiyh0uV.png
The correction arrived, but it was short-lived. S&P Futures hit circuit breakers after-hours, but recovered after Clinton’s concession speech only to open moderately up and end the day up significantly (~4%?). My SPY puts and NUGT calls did not do well.
Let’s look at SPY.
Post-Election $SPY ATM Call Volatility: https://i.imgur.com/C2T6RM8.png
Post-Election $SPY ATM Put Volatility: https://i.imgur.com/iwXhXGV.png
Looking at ATM calls and puts we see that both experienced a run-up in volatility in the weeks leading up into the election. This is to be expected and occurs with any binary or crush-inducing event as implied volatility is a time-weighted metric and pre-crush time is removed in the time leading up to the event is removed from the balance. It would be an interesting and very useful exercise to look at the forward volatility for the November 4 to November 11/18 time period in and observe how much the expected volatility changes, but the data I have available is too imprecise to provide an accurate picture of the volatility surface.
If we take a quick look at puts expiring Friday before the election, we don’t see a significant change in the implied volatility.
Pre-Election $SPY ATM Put Volatility: https://i.imgur.com/Knje4gK.png
I’m not going to speak much to it, but we saw similar volatility changes in ATM $GLD options in the lead-up to the election.
Post-Election $GLD ATM Call Volatility: https://i.imgur.com/iGcsrUQ.png
Post-Election $GLD ATM Put Volatility: https://i.imgur.com/Sp8kX4A.png
The two sectors that I regret not-trading the most last time around were health care and private prisons. The private prisons sector doesn’t have the liquidity to give a decent picture of the volatility, but with healthcare we can.
Post-Election $XBI ATM Call Price History: https://i.imgur.com/U1UMARA.png
Post-Election $XBI ATM Call Volatility: https://i.imgur.com/xUYItnv.png
So how does 2020 compare?
Coronavirus has thrown the market into an abnormal volatility landscape this year. Simultaneously while the current win/loss probability for Biden/Trump is very similar to what we saw in 2016, the way that we’ve got there is very different. Biden has been the significant betting favourite throughout the entire campaign and Trump’s old playbook doesn’t seem to be working as well with swing-state voters this time around.
2020 Polling Timeline: https://i.imgur.com/MoKOQcJ.png
2020 Full-Year $SPY 350C Volatility: https://i.imgur.com/mRl69UM.png
Even with the currently elevated volatility, we should still expect to see the it tick up on options leading into the election as with all other crush-type events.
submitted by moneyonfireapp to options [link] [comments]

MAME 0.223

MAME 0.223

MAME 0.223 has finally arrived, and what a release it is – there’s definitely something for everyone! Starting with some of the more esoteric additions, Linus Åkesson’s AVR-based hardware chiptune project and Power Ninja Action Challenge demos are now supported. These demos use minimal hardware to generate sound and/or video, relying on precise CPU timings to work. With this release, every hand-held LCD game from Nintendo’s Game & Watch and related lines is supported in MAME, with Donkey Kong Hockey bringing up the rear. Also of note is the Bassmate Computer fishing aid, made by Nintendo and marketed by Telko and other companies, which is clearly based on the dual-screen Game & Watch design. The steady stream of TV games hasn’t stopped, with a number of French releases from Conny/VideoJet among this month’s batch.
For the first time ever, games running on the Barcrest MPU4 video system are emulated well enough to be playable. Titles that are now working include several games based on the popular British TV game show The Crystal Maze, Adders and Ladders, The Mating Game, and Prize Tetris. In a clear win for MAME’s modular architecture, the breakthrough came through the discovery of a significant flaw in our Motorola MC6840 Programmable Timer Module emulation that was causing issues for the Fairlight CMI IIx synthesiser. In the same manner, the Busicom 141-PF desk calculator is now working, thanks to improvements made to Intel 4004 CPU emulation that came out of emulating the INTELLEC 4 development system and the prototype 4004-based controller board for Flicker pinball. The Busicom 141-PF is historically significant, being the first application of Intel’s first microprocessor.
Fans of classic vector arcade games are in for a treat this month. Former project coordinator Aaron Giles has contributed netlist-based sound emulation for thirteen Cinematronics vector games: Space War, Barrier, Star Hawk, Speed Freak, Star Castle, War of the Worlds, Sundance, Tail Gunner, Rip Off, Armor Attack, Warrior, Solar Quest and Boxing Bugs. This resolves long-standing issues with the previous simulation based on playing recorded samples. Colin Howell has also refined the sound emulation for Midway’s 280-ZZZAP and Gun Fight.
V.Smile joystick inputs are now working for all dumped cartridges, and with fixes for ROM bank selection the V.Smile Motion software is also usable. The accelerometer-based V.Smile Motion controller is not emulated, but the software can all be used with the standard V.Smile joystick controller. Another pair of systems with inputs that now work is the original Macintosh (128K/512K/512Ke) and Macintosh Plus. These systems’ keyboards are now fully emulated, including the separate numeric keypad available for the original Macintosh, the Macintosh Plus keyboard with integrated numeric keypad, and a few European ISO layout keyboards for the original Macintosh. There are still some emulation issues, but you can play Beyond Dark Castle with MAME’s Macintosh Plus emulation again.
In other home computer emulation news, MAME’s SAM Coupé driver now supports a number of peripherals that connect to the rear expansion port, a software list containing IRIX hard disk installations for SGI MIPS workstations has been added, and tape loading now works for the Specialist system (a DIY computer designed in the USSR).
Of course, there’s far more to enjoy, and you can read all about it in the whatsnew.txt file, or get the source and 64-bit Windows binary packages from the download page. (For brevity, promoted V.Smile software list entries and new Barcrest MPU4 clones made up from existing dumps have been omitted here.)

MAME Testers Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Merged pull requests

submitted by cuavas to emulation [link] [comments]

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