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No gods, no kings, only NOPE - or divining the future with options flows. [Part 2: A Random Walk and Price Decoherence]
tl;dr - 1) Stock prices move continuously because different market participants end up having different ideas of the future value of a stock. 2) This difference in valuations is part of the reason we have volatility. 3) IV crush happens as a consequence of future possibilities being extinguished at a binary catalyst like earnings very rapidly, as opposed to the normal slow way. I promise I'm getting to the good parts, but I'm also writing these as a guidebook which I can use later so people never have to talk to me again. In this part I'm going to start veering a bit into the speculation territory (e.g. ideas I believe or have investigated, but aren't necessary well known) but I'm going to make sure those sections are properly marked as speculative (and you can feel free to ignore/dismiss them). Marked as [Lily's Speculation]. As some commenters have pointed out in prior posts, I do not have formal training in mathematical finance/finance (my background is computer science, discrete math, and biology), so often times I may use terms that I've invented which have analogous/existing terms (e.g. the law of surprise is actually the first law of asset pricing applied to derivatives under risk neutral measure, but I didn't know that until I read the papers later). If I mention something wrong, please do feel free to either PM me (not chat) or post a comment, and we can discuss/I can correct it! As always, buyer beware. This is the first section also where you do need to be familiar with the topics I've previously discussed, which I'll add links to shortly (my previous posts: 1) https://www.reddit.com/thecorporation/comments/jck2q6/no_gods_no_kings_only_nope_or_divining_the_future/ 2) https://www.reddit.com/thecorporation/comments/jbzzq4/why_options_trading_sucks_or_the_law_of_surprise/ --- A Random Walk Down Bankruptcy A lot of us have probably seen the term random walk, maybe in the context of A Random Walk Down Wall Street, which seems like a great book I'll add to my list of things to read once I figure out how to control my ADD. It seems obvious, then, what a random walk means - when something is moving, it basically means that the next move is random. So if my stock price is $1 and I can move in $0.01 increments, if the stock price is truly randomly walking, there should be roughly a 50% chance it moves up in the next second (to $1.01) or down (to $0.99). If you've traded for more than a hot minute, this concept should seem obvious, because especially on the intraday, it usually isn't clear why price moves the way it does (despite what chartists want to believe, and I'm sure a ton of people in the comments will tell me why fettucini lines and Batman doji tell them things). For a simple example, we can look at SPY's chart from Friday, Oct 16, 2020: https://preview.redd.it/jgg3kup9dpt51.png?width=1368&format=png&auto=webp&s=bf8e08402ccef20832c96203126b60c23277ccc2 I'm sure again 7 different people can tell me 7 different things about why the chart shape looks the way it does, or how if I delve deeply enough into it I can find out which man I'm going to marry in 2024, but to a rationalist it isn't exactly apparent at why SPY's price declined from 349 to ~348.5 at around 12:30 PM, or why it picked up until about 3 PM and then went into precipitous decline (although I do have theories why it declined EOD, but that's for another post). An extremely clever or bored reader from my previous posts could say, "Is this the price formation you mentioned in the law of surprise post?" and the answer is yes. If we relate it back to the individual buyer or seller, we can explain the concept of a stock price's random walk as such:
Most market participants have an idea of an asset's truevalue (an idealized concept of what an asset is actually worth), which they can derive using models or possibly enough brain damage. However, an asset's value at any given time is not worth one value (usually*), but a spectrum of possible values, usually representing what the asset should be worth in the future. A naive way we can represent this without delving into to much math (because let's face it, most of us fucking hate math) is: Current value of an asset = sum over all (future possible value multiplied by the likelihood of that value)
In actuality, most models aren't that simple, but it does generalize to a ton of more complicated models which you need more than 7th grade math to understand (Black-Scholes, DCF, blah blah blah). While in many cases the first term - future possible value - is well defined (Tesla is worth exactly $420.69 billion in 2021, and maybe we all can agree on that by looking at car sales and Musk tweets), where it gets more interesting is the second term - the likelihood of that value occurring. [In actuality, the price of a stock for instance is way more complicated, because a stock can be sold at any point in the future (versus in my example, just the value in 2021), and needs to account for all values of Tesla at any given point in the future.] How do we estimate the second term - the likelihood of that value occurring? For this class, it actually doesn't matter, because the key concept is this idea: even with all market participants having the same information, we do anticipate that every participant will have a slightly different view of future likelihoods. Why is that? There's many reasons. Some participants may undervalue risk (aka WSB FD/yolos) and therefore weight probabilities of gaining lots of money much more heavily than going bankrupt. Some participants may have alternative data which improves their understanding of what the future values should be, therefore letting them see opportunity. Some participants might overvalue liquidity, and just want to GTFO and thereby accept a haircut on their asset's value to quickly unload it (especially in markets with low liquidity). Some participants may just be yoloing and not even know what Fastly does before putting their account all in weekly puts (god bless you). In the end, it doesn't matter either the why, but the what: because of these diverging interpretations, over time, we can expect the price of an asset to drift from the current value even with no new information added. In most cases, the calculations that market participants use (which I will, as a Lily-ism, call the future expected payoff function, or FEPF) ends up being quite similar in aggregate, and this is why asset prices likely tend to move slightly up and down for no reason (or rather, this is one interpretation of why). At this point, I expect the 20% of you who know what I'm talking about or have a finance background to say, "Oh but blah blah efficient market hypothesis contradicts random walk blah blah blah" and you're correct, but it also legitimately doesn't matter here. In the long run, stock prices are clearly not a random walk, because a stock's value is obviously tied to the company's fundamentals (knock on wood I don't regret saying this in the 2020s). However, intraday, in the absence of new, public information, it becomes a close enough approximation. Also, some of you might wonder what happens when the future expected payoff function (FEPF) I mentioned before ends up wildly diverging for a stock between participants. This could happen because all of us try to short Nikola because it's quite obviously a joke (so our FEPF for Nikola could, let's say, be 0), while the 20 or so remaining bagholders at NikolaCorporation decide that their FEPF of Nikola is $10,000,000 a share). One of the interesting things which intuitively makes sense, is for nearly all stocks, the amount of divergence among market participants in their FEPF increases substantially as you get farther into the future. This intuitively makes sense, even if you've already quit trying to understand what I'm saying. It's quite easy to say, if at 12:51 PM SPY is worth 350.21 that likely at 12:52 PM SPY will be worth 350.10 or 350.30 in all likelihood. Obviously there are cases this doesn't hold, but more likely than not, prices tend to follow each other, and don't gap up/down hard intraday. However, what if I asked you - given SPY is worth 350.21 at 12:51 PM today, what will it be worth in 2022? Many people will then try to half ass some DD about interest rates and Trump fleeing to Ecuador to value SPY at 150, while others will assume bull markets will continue indefinitely and SPY will obviously be 7000 by then. The truth is -- no one actually knows, because if you did, you wouldn't be reading a reddit post on this at 2 AM in your jammies. In fact, if you could somehow figure out the FEPF of all market participants at any given time, assuming no new information occurs, you should be able to roughly predict the true value of an asset infinitely far into the future (hint: this doesn't exactly hold, but again don't @ me). Now if you do have a finance background, I expect gears will have clicked for some of you, and you may see strong analogies between the FEPF divergence I mentioned, and a concept we're all at least partially familiar with - volatility. Volatility and Price Decoherence ("IV Crush") Volatility, just like the Greeks, isn't exactly a real thing. Most of us have some familiarity with implied volatility on options, mostly when we get IV crushed the first time and realize we just lost $3000 on Tesla calls. If we assume that the current price should represent the weighted likelihoods of all future prices (the random walk), volatility implies the following two things:
Volatility reflects the uncertainty of the current price
Volatility reflects the uncertainty of the future price for every point in the future where the asset has value (up to expiry for options)
[Ignore this section if you aren't pedantic] There's obviously more complex mathematics, because I'm sure some of you will argue in the comments that IV doesn't go up monotonically as option expiry date goes longer and longer into the future, and you're correct (this is because asset pricing reflects drift rate and other factors, as well as certain assets like the VIX end up having cost of carry). Volatility in options is interesting as well, because in actuality, it isn't something that can be exactly computed -- it arises as a plug between the idealized value of an option (the modeled price) and the real, market value of an option (the spot price). Additionally, because the makeup of market participants in an asset's market changes over time, and new information also comes in (thereby increasing likelihood of some possibilities and reducing it for others), volatility does not remain constant over time, either. Conceptually, volatility also is pretty easy to understand. But what about our friend, IV crush? I'm sure some of you have bought options to play events, the most common one being earnings reports, which happen quarterly for every company due to regulations. For the more savvy, you might know of expected move, which is a calculation that uses the volatility (and therefore price) increase of at-the-money options about a month out to calculate how much the options market forecasts the underlying stock price to move as a response to ER. Binary Catalyst Events and Price Decoherence Remember what I said about price formation being a gradual, continuous process? In the face of special circumstances, in particularly binary catalyst events - events where the outcome is one of two choices, good (1) or bad (0) - the gradual part gets thrown out the window. Earnings in particular is a common and notable case of a binary event, because the price will go down (assuming the company did not meet the market's expectations) or up (assuming the company exceeded the market's expectations) (it will rarely stay flat, so I'm not going to address that case). Earnings especially is interesting, because unlike other catalytic events, they're pre-scheduled (so the whole market expects them at a certain date/time) and usually have publicly released pre-estimations (guidance, analyst predictions). This separates them from other binary catalysts (e.g. FSLY dipping 30% on guidance update) because the market has ample time to anticipate the event, and participants therefore have time to speculate and hedge on the event. In most binary catalyst events, we see rapid fluctuations in price, usually called a gap up or gap down, which is caused by participants rapidly intaking new information and changing their FEPF accordingly. This is for the most part an anticipated adjustment to the FEPF based on the expectation that earnings is a Very Big Deal (TM), and is the reason why volatility and therefore option premiums increase so dramatically before earnings. What makes earnings so interesting in particular is the dramatic effect it can have on all market participants FEPF, as opposed to let's say a Trump tweet, or more people dying of coronavirus. In lots of cases, especially the FEPF of the short term (3-6 months) rapidly changes in response to updated guidance about a company, causing large portions of the future possibility spectrum to rapidly and spectacularly go to zero. In an instant, your Tesla 10/30 800Cs go from "some value" to "not worth the electrons they're printed on". [Lily's Speculation] This phenomena, I like to call price decoherence, mostly as an analogy to quantum mechanical processes which produce similar results (the collapse of a wavefunction on observation). Price decoherence occurs at a widespread but minor scale continuously, which we normally call price formation (and explains portions of the random walk derivation explained above), but hits a special limit in the face of binary catalyst events, as in an instant rapid portions of the future expected payoff function are extinguished, versus a more gradual process which occurs over time (as an option nears expiration). Price decoherence, mathematically, ends up being a more generalizable case of the phenomenon we all love to hate - IV crush. Price decoherence during earnings collapses the future expected payoff function of a ticker, leading large portions of the option chain to be effectively worthless (IV crush). It has interesting implications, especially in the case of hedged option sellers, our dear Market Makers. This is because given the expectation that they maintain delta-gamma neutral, and now many of the options they have written are now worthless and have 0 delta, what do they now have to do? They have to unwind. [/Lily's Speculation] - Lily
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:
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.
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:
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).
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):
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.
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) = 24,000net 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:
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:
How exceptional is today's NOPE versus historic baseline (30 days prior)?
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:
Calculate today's NOPE score (this can be done end of day or intraday, with the true value being EOD of course)
Calculate the end of day NOPE scores on the ticker for the previous 30 trading days
Compute the median of the previous 30 trading days' NOPEs
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:
The mean of NOPE_MAD for any ticker is almost exactly 0.
[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:
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.
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.
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).
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.
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:
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.
Sell/buy to close said shares at the first sign of major weakness (e.g. if the NOPE predicted outcome is incorrect).
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.
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
Hi everyone, I've been passionate about sandbox games and how they are designed into a functioning coherent environment. I developed most of this passion in Eve and served as a CSM last year. I'm hopeful that DU will be the future of sandbox sci-fi games. I wanted to note down how I think NQ can better some of the game's most important aspects. Some of their staff probably read here too. The forums have this "one idea per thread" rule, so I decided to put them here. Here are some problems, and how I would solve them. PvP 1) Cube Meta: Need viability for non-cubes.
By small changes in the math, it should be possible to make drag matter more in atmo, not for small cross sectioned ships, but for the ones with bigger CS.
A developmentally costlier option would be letting players edit the "area" that a core unit provides. PvP rewards smaller core units so it becomes important to cram all the elements into small areas. That promotes the cubes. If we could edit the area into a 3d rectangle (total area remains the same, just changes shape), that'd let us to make ships that aren't cubes and cram the same amount of stuff.
The best option would be making cross section matter in PvP. Ideally (not sure if servers can handle this), weapons should miss more if target ships have a narrow cross section from the attacker's POV. If servers can't calculate relative POV's, then an easier way to implement cross section into PvP is using the smallest CS of a ship as a coefficient in the miss chance.
2) Small vs Big Ships: Need drastic balance.
The lock range differentiation wrt target core unit size needs to go. It's keeping everyone from even thinking about M or L core PvP ships. Eve has this mechanic entirely right. Larger ships should be able to lock and fire at longer ranges. They should just miss more.
Small ships should have tracking and lock time advantages. Tracking should matter to the extent that if I am going 90 degrees wrt a big ship in a smaller core, even at ranges like 100km, that should make me easier to miss. After all those are the ranges most of the combat happens.
Some sort of limitation to cramming L guns to small constructs is needed. If "power" isn't going toward that direction, NQ should just make M/L gun models way larger (and make them slower-turning too that'd align with the above recommendation).
More tanking advantage to larger ships is needed. Perhaps weapons tear through too many voxels at the same time. Or voxels should be overall less heavy so we can use more of them.
Instead, the larger cores actually have speed advantage where they shouldn't. This is because you can cram way more Delta V in an M/L core compared to how much you can cram in an S/XS core. Sure the reactivation time is a good balancing factor but it's not enough if the large ships can accelerate and decelerate at way higher Gs. Again, one easy option would be drastically increasing the size of L/XL engine models to match the proportions of area differences among cores.
3) Non-Consensual PvP: The current non-consensual PvP is very binary and unsustainable. If you can find some people careless enough to go in a direct path between two planets with no radars, you kill them. People will wake up (or they already did) to this very fast, plus warp drives will become abundant, and pretty soon no such PvP will be possible. Meanwhile, if you are a new player with no knowledge and you get caught to pirates like this, you basically have zero options to protect yourself.
For Offense: Steal warp bubbles (disrupts your warp path), webs (slows down your target ship), combat probes (detects position of a target ship) from Eve. They'll be great additions.
Create rewards in space for which people will be willing to take risks. Asteroids/asteroid mining is supposed to function like this. But depending on implementation they can either become monopolized or just too abundant/wide to go and find any targets in.
Hope eventually stealth gets added. It's easy to imagine it as radar immunity (until close proximity). But it should have drastic downsides.
For Defense: Combat probes can actually be used defensively too.
Some sort of "evasive maneuver". Perhaps a module that provides a quick random change in the ship's direction but not the speed that the offender needs to adapt.
Some sort of temporary damage mitigation solution.
Economy 1) There is no need to trade.
People don't use the markets too much. Every org has a mining/industry wing and everything is made in-house. I think this problem arises from the fact that the only scalable and reliable way to make money is mining/industry (maybe add logistics but that's dependent on the first two). Sure you got some people with eccentric ventures and ship developers but you can't scale that across hundreds of people. Since you have to have a factory to earn money, why wouldn't you scale it so you make everything and are self-sufficient? Now, if there was a plethora of other moneymaking activities in the game, then we'd see a way more an Eve-like market and specialization of activities. Imho this is hard to achieve without NPCs. It's really hard to imagine a functioning sandbox without the bottom layer of the ecosystem. NPCs to a sandbox MMO are what grass/vegetation is to an ecosystem. Without them there are no missions, nothing to kill and earn money from in a multitude of ways. No reward that people in adequate ships can go and chase, and become prey to other people like pirates. I kinda just wish NQ had 3 more years/funding to develop the game. The Minecraft/Factoria will be attractive for only so long if there is no meaningful economy, trade, differentiation, and things to do with things you make. Talents seem to be made in a way to foster differentiation, so maybe that's where we'll see some improvement. But game design needs to change.
2) Resource Hexes are too disposable.
The game has a great digging system. We create these elaborate mines. We could voxelize them and make wonders with them. Instead, we abandon them in 2 hours. With the territory warfare, under current ore system, the only place that'll be worth attacking is the HQ of a corp with the stashes and factories. And I'm pretty sure most people will move those to the Sanctuary once the territory warfare hits. Resource hexes would have been great places to fight over. But even meganodes last just a day as of this point.
In an ideal design, ore should have been way less scattered across different hexes. And once it's found in a hex, it should have lasted a long time, so there are these valuable resource mines to fight over. The pace of mining is actually perhaps fine. But there are lots of other ways to achieve "long lasting resource mines". Like going deeper could "destabilize" a hex so people would have to put down units that take a week to anchor. And bettemore abundant ore could have been found in deeper attitudes. This is just one way on top off my head.
3) No mining robots please.
Ditch this idea that was mentioned months ago if it's still in the cooking. You don't want to delegitimize the human time spent on the only meaningful resource gathering activity in the game.
Overall I have great hopes but also concerns about the game. One major concern/test was whether the server tech will hold. It has improved a lot and that's great news for NQ. The next concern is whether NQ is spread too thin. The game's development was probably too early to commit to a non-wipe environment, and NQ might be underestimating how much it lacks vs an actually functioning ecosystem. Not to mention customer support is pretty nonexistent (god forbid you have a problem that's beyond the Discord staff's abilities). People will get bored of cool looking handcrafted ships pretty fast unless they have meaningful stuff to do in them very soon. Let's see how things develop. o7
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:
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.
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%!
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
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STOCK MARKET VIDEO: ShadowTrader Video Weekly 8.16.20
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(VIDEO NOT YET POSTED!) Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
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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. (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. (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. (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. (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. (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. (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 (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 (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. (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.
Retard Bot Update 2: What is there to show for six months of work?
What is there to show? Not shit, that's why I made this pretty 4K desktop background instead: 4K On the real: I've been developing this project like 6 months now, what's up? Where's that video update I promised, showing off the Bot Builder? Is an end in sight? Yes sort of. I back-tested 6 months of data at over 21% on a net SPY-neutral, six month span of time (with similar results on a 16 year span) including 2 bear, 2 bull, 2 crab months. But that's not good enough to be sure / reliable. I had gotten so focused on keeping the project pretty and making a video update that I was putting off major, breaking changes that I needed to make. The best quant fund ever made, the Medallion fund, was once capable of roughly 60% per year consistently, but in Retard Bot's case 1.5% compounded weekly. "But I make 60% on one yolo" sure whatever, can you do it again every year, with 100% of your capital, where failure means losing everything? If you could, you'd be loading your Lambo onto your Yacht right now instead of reading this autistic shit.
The End Goal
1.5% compounded weekly average is $25K -> $57M in 10 years, securing a fairly comfortable retirement for your wife's boyfriend. It's a stupidly ambitious goal. My strategy to pull it off is actually pretty simple. If you look at charts for the best performing stocks over the past 10 years, you'll find that good companies move in the same general trajectory more often than they don't. This means the stock market moves with momentum. I developed a simple equation to conservatively predict good companies movements one week into the future by hand, and made 100%+ returns 3 weeks in a row. Doing the math took time, and I realized a computer could do much more complex math, on every stock, much more efficiently, so I developed a bot and it did 100% for 3 consecutive weeks, buying calls in a bull-market. See the problem there? The returns were good but they were based on a biased model. The model would pick the most efficient plays on the market if it didn't take a severe downturn. But if it did, the strategy would stop working. I needed to extrapolate my strategy into a multi-model approach that could profit on momentum during all different types of market movement. And so I bought 16 years of option chain data and started studying the concept of momentum based quantitative analysis. As I spent more and more weeks thinking about it, I identified more aspects of the problem and more ways to solve it. But no matter how I might think to design algorithms to fundamentally achieve a quantitative approach, I knew that my arbitrary weights and variables and values and decisions could not possibly be the best ones.
Why Retard Bot Might Work
So I approached the problem from all angles, every conceivable way to glean reliably useful quantitative information about a stock's movement and combine it all into a single outcome of trade decisions, and every variable, every decision, every model was a fluid variable that machine learning, via the process of Evolution could randomly mutate until perfection. And in doing so, I had to fundamentally avoid any method of testing my results that could be based on a bias. For example, just because a strategy back-tests at 40% consistent yearly returns on the past 16 years of market movement doesn't mean it would do so for the next 16 years, since the market could completely end its bull-run and spend the next 16 years falling. Improbable, but for a strategy outcome that can be trusted to perform consistently, we have to assume nothing. So that's how Retard Bot works. It assumes absolutely nothing about anything that can't be proven as a fundamental, statistical truth. It uses rigorous machine learning to develop fundamental concepts into reliable, fine tuned decision layers that make models which are controlled by a market-environment-aware Genius layer that allocates resources accordingly, and ultimately through a very complex 18 step process of iterative ML produces a top contender through the process of Evolution, avoiding all possible bias. And then it starts over and does it again, and again, continuing for eternity, recording improved models when it discovers them.
The Current Development Phase
Or... That's how it would work, in theory, if my program wasn't severely limited by the inadequate infrastructure I built it with. When I bought 16 years of data, 2TB compressed to its most efficient binary representation, I thought I could use a traditional database like MongoDB to store and load the option chains. It's way too slow. So here's where I've ended up this past week: It was time to rip off the bandaid and rebuild some performance infrastructure (the database and decision stack) that was seriously holding me back from testing the project properly. Using MongoDB, which has to pack and unpack data up and down the 7 layer OSI model, it took an hour to test one model for one year. I need to test millions of models for 16 years, thousands of times over. I knew how to do that, so instead of focusing on keeping things stable so I could show you guys some pretty graphs n shit, I broke down the beast and started rebuilding with a pure memory caching approach that will load the options chains thousands of times faster than MongoDB queries. And instead of running one model, one decision layer at a time on the CPU, the new GPU accelerated decision stack design will let me run hundreds of decision layers on millions of models in a handful of milliseconds. Many, many orders of magnitude better performance, and I can finally make the project as powerful as it was supposed to be. I'm confident that with these upgrades, I'll be able to hit the goal of 60% consistent returns per year. I'll work this goddamn problem for a year if I have to. I have, in the process of trying to become an entrepreneur, planned project after project and given up half way through when it got too hard, or a partner quit, or someone else launched something better. I will not give up on this one, if it takes the rest of the year or five more. But I don't think it'll come to that. Even with the 20% I've already achieved, if I can demonstrate that in live trading, that's already really good, so there's not really any risk of real failure at this point. But I will, regardless, finish developing the vision I have for Retard Bot and Bidrate Renaissance before I'm satisfied.
Forex Signals Reddit: top providers review (part 1)
Forex Signals - TOP Best Services. Checked!
To invest in the financial markets, we must acquire good tools that help us carry out our operations in the best possible way. In this sense, we always talk about the importance of brokers, however, signal systems must also be taken into account. The platforms that offer signals to invest in forex provide us with alerts that will help us in a significant way to be able to carry out successful operations. For this reason, we are going to tell you about the importance of these alerts in relation to the trading we carry out, because, without a doubt, this type of system will provide us with very good information to invest at the right time and in the best assets in the different markets. financial Within this context, we will focus on Forex signals, since it is the most important market in the world, since in it, multiple transactions are carried out on a daily basis, hence the importance of having an alert system that offers us all the necessary data to invest in currencies. Also, as we all already know, cryptocurrencies have become a very popular alternative to investing in traditional currencies. Therefore, some trading services/tools have emerged that help us to carry out successful operations in this particular market. In the following points, we will detail everything you need to know to start operating in the financial markets using trading signals: what are signals, how do they work, because they are a very powerful help, etc. Let's go there!
What are Forex Trading Signals?
https://preview.redd.it/vjdnt1qrpny51.jpg?width=640&format=pjpg&auto=webp&s=bc541fc996701e5b4dd940abed610b59456a5625 Before explaining the importance of Forex signals, let's start by making a small note so that we know what exactly these alerts are. Thus, we will know that the signals on the currency market are received by traders to know all the information that concerns Forex, both for assets and for the market itself. These alerts allow us to know the movements that occur in the Forex market and the changes that occur in the different currency pairs. But the great advantage that this type of system gives us is that they provide us with the necessary information, to know when is the right time to carry out our investments.
In other words, through these signals, we will know the opportunities that are presented in the market and we will be able to carry out operations that can become quite profitable.
Profitability is precisely another of the fundamental aspects that must be taken into account when we talk about Forex signals since the vast majority of these alerts offer fairly reliable data on assets. Similarly, these signals can also provide us with recommendations or advice to make our operations more successful.
»Purpose: predict movements to carry out Profitable Operations
In short, Forex signal systems aim to predict the behavior that the different assets that are in the market will present and this is achieved thanks to new technologies, the creation of specialized software, and of course, the work of financial experts. In addition, it must also be borne in mind that the reliability of these alerts largely lies in the fact that they are prepared by financial professionals. So they turn out to be a perfect tool so that our investments can bring us a greater number of benefits.
The best signal services today
We are going to tell you about the 3 main alert system services that we currently have on the market. There are many more, but I can assure these are not scams and are reliable. Of course, not 100% of trades will be a winner, so please make sure you apply proper money management and risk management system.
1. 1000pipbuilder (top choice)
Fast track your success and follow the high-performance Forex signals from 1000pip Builder. These Forex signals are rated 5 stars on Investing.com, so you can follow every signal with confidence. All signals are sent by a professional trader with over 10 years investment experience. This is a unique opportunity to see with your own eyes how a professional Forex trader trades the markets. The 1000pip Builder Membership is ordinarily a signal service for Forex trading. You will get all the facts you need to successfully comply with the trading signals, set your stop loss and take earnings as well as additional techniques and techniques! You will get easy to use trading indicators for Forex Trades, including your entry, stop loss and take profit. Overall, the earnings target per months is 350 Pips, depending on your funding this can be a high profit per month! (In fact, there is by no means a guarantee, but the past months had been all between 600 – 1000 Pips). >>>Know more about 1000pipbuilder Your 1000pip builder membership gives you all in hand you want to start trading Forex with success. Read the directions and wait for the first signals. You can trade them inside your demo account first, so you can take a look at the performance before you make investments real money! Features:
Forex signals sent by email and SMS
Entry price, take profit and stop loss provided
Suitable for all time zones (signals sent over 24 hours)
Digital Derivatives Markets (DDMarkets) have been providing trade alert offerings since May 2014 - fully documenting their change ideas in an open and transparent manner. September 2020 performance report for DD Markets. Their manner is simple: carry out extensive research, share their evaluation and then deliver a trading sign when triggered. Once issued, daily updates on the trade are despatched to members via email. It's essential to note that DDMarkets do not tolerate floating in an open drawdown in an effort to earnings at any cost - a common method used by less professional providers to 'fudge' performance statistics. Verified Statistics: Not independently verified. Price: plans from $74.40 per month. Year Founded: 2014 Suitable for Beginners: Yes, (includes handy to follow trade analysis) VISIT -------
If you are looking or a forex signal service with a reliable (and profitable) music record you can't go previous Joel Kruger and the team at JKonFX. Trading performance file for JKonFX. Joel has delivered a reputable +59.18% journal performance for 2016, imparting real-time technical and fundamental insights, in an extremely obvious manner, to their 30,000+ subscriber base. Considered a low-frequency trader, alerts are only a small phase of the overall JKonFX subscription. If you're searching for hundreds of signals, you may want to consider other options. Verified Statistics: Not independently verified. Price: plans from $30 per month. Year Founded: 2014 Suitable for Beginners: Yes, (includes convenient to follow videos updates). VISIT
The importance of signals to invest in Forex
Once we have known what Forex signals are, we must comment on the importance of these alerts in relation to our operations. As we have already told you in the previous paragraph, having a system of signals to be able to invest is quite advantageous, since, through these alerts, we will obtain quality information so that our operations end up being a true success.
»Use of signals for beginners and experts
In this sense, we have to say that one of the main advantages of Forex signals is that they can be used by both beginners and trading professionals. As many as others can benefit from using a trading signal system because the more information and resources we have in our hands. The greater probability of success we will have. Let's see how beginners and experts can take advantage of alerts:
Beginners: for inexperienced these alerts become even more important since they will thus have an additional tool that will guide them to carry out all operations in the Forex market.
Professionals: In the same way, professionals are also recommended to make use of these alerts, so they have adequate information to continue bringing their investments to fruition.
Now that we know that both beginners and experts can use forex signals to invest, let's see what other advantages they have.
When we dedicate ourselves to working in the financial world, none of us can spend 24 hours in front of the computer waiting to perform the perfect operation, it is impossible. That is why Forex signals are important, because, in order to carry out our investments, all we will have to do is wait for those signals to arrive, be attentive to all the alerts we receive, and thus, operate at the right time according to the opportunities that have arisen. It is fantastic to have a tool like this one that makes our work easier in this regard.
»Carry out profitable Forex operations
These signals are also important, because the vast majority of them are usually quite profitable, for this reason, we must get an alert system that provides us with accurate information so that our operations can bring us great benefits. But in addition, these Forex signals have an added value and that is that they are very easy to understand, therefore, we will have a very useful tool at hand that will not be complicated and will end up being a very beneficial weapon for us.
»Decision support analysis
A system of currency market signals is also very important because it will help us to make our subsequent decisions. We cannot forget that, to carry out any type of operation in this market, previously, we must meditate well and know the exact moment when we will know that our investments are going to bring us profits . Therefore, all the information provided by these alerts will be a fantastic basis for future operations that we are going to carry out.
»Trading Signals made by professionals
Finally, we have to recall the idea that these signals are made by the best professionals. Financial experts who know perfectly how to analyze the movements that occur in the market and changes in prices. Hence the importance of alerts, since they are very reliable and are presented as a necessary tool to operate in Forex and that our operations are as profitable as possible.
What should a signal provider be like?
https://preview.redd.it/j0ne51jypny51.png?width=640&format=png&auto=webp&s=5578ff4c42bd63d5b6950fc6401a5be94b97aa7f As you have seen, Forex signal systems are really important for our operations to bring us many benefits. For this reason, at present, there are multiple platforms that offer us these financial services so that investing in currencies is very simple and fast. Before telling you about the main services that we currently have available in the market, it is recommended that you know what are the main characteristics that a good signal provider should have, so that, at the time of your choice, you are clear that you have selected one of the best systems.
»Must send us information on the main currency pairs
In this sense, one of the first things we have to comment on is that a good signal provider, at a minimum, must send us alerts that offer us information about the 6 main currencies, in this case, we refer to the euro, dollar, The pound, the yen, the Swiss franc, and the Canadian dollar. Of course, the data you provide us will be related to the pairs that make up all these currencies. Although we can also find systems that offer us information about other minorities, but as we have said, at a minimum, we must know these 6.
»Trading tools to operate better
Likewise, signal providers must also provide us with a large number of tools so that we can learn more about the Forex market.
We refer, for example, to technical analysis above all, which will help us to develop our own strategies to be able to operate in this market.
These analyzes are always prepared by professionals and study, mainly, the assets that we have available to invest.
»Different Forex signals reception channels
They must also make available to us different ways through which they will send us the Forex signals, the usual thing is that we can acquire them through the platform's website, or by a text message and even through our email. In addition, it is recommended that the signal system we choose sends us a large number of alerts throughout the day, in order to have a wide range of possibilities.
»Free account and customer service
Other aspects that we must take into account to choose a good signal provider is whether we have the option of receiving, for a limited time, alerts for free or the profitability of the signals they emit to us. Similarly, a final aspect that we must emphasize is that a good signal system must also have excellent customer service, which is available to us 24 hours a day and that we can contact them at through an email, a phone number, or a live chat, for greater immediacy. Well, having said all this, in our last section we are going to tell you which are the best services currently on the market. That is, the most suitable Forex signal platforms to be able to work with them and carry out good operations. In this case, we will talk about ForexPro Signals, 365 Signals and Binary Signals.
Forex Signals Reddit: conclusion
To be able to invest properly in the Forex market, it is convenient that we get a signal system that provides us with all the necessary information about this market. It must be remembered that Forex is a very volatile market and therefore, many movements tend to occur quickly. Asset prices can change in a matter of seconds, hence the importance of having a system that helps us analyze the market and thus know, what is the right time for us to start operating. Therefore, although there are currently many signal systems that can offer us good services, the three that we have mentioned above are the ones that are best valued by users, which is why they are the best signal providers that we can choose to carry out. our investments. Most of these alerts are quite profitable and in addition, these systems usually emit a large number of signals per day with full guarantees. For all this, SignalsForexPro, Signals365, or SignalsBinary are presented as fundamental tools so that we can obtain a greater number of benefits when we carry out our operations in the currency market.
Hi everyone, this is my first ever post here. I run a little website called The Thought Experiment where I talk about various issues, some of them Singapore related. And one of my main interests is Singaporean politics. With the GE2020 election results, I thought I should pen down my take on what us as the electorate were trying to say. If you like what I wrote, I also wrote another article on the state of play for GE2020 during the campaigning period, as well as 2 other articles related to GE2015 back when it was taking place. If you don't like what I wrote, that's ok! I think the beauty of freedom of expression is that everyone is entitled to their opinion. I'm always happy to get feedback, because I do think that more public discourse about our local politics helps us to be more politically aware as a whole. Just thought I'll share my article here to see what you guys make of it :D Article Starts Here: During the campaigning period, both sides sought to portray an extreme scenario of what would happen if voters did not vote for them. The Peoples’ Action Party (PAP) warned that Singaporeans that their political opponents “might eventually replace the government after July 10”. Meanwhile, the Worker’s Party (WP) stated that “there was a real risk of a wipeout of elected opposition MPs at the July 10 polls”. Today is July 11th. As we all know, neither of these scenarios came to pass. The PAP comfortably retained its super-majority in Parliament, winning 83 out of 93 elected MP seats. But just as in GE2011, another Group Representation Constituency (GRC) has fallen to the WP. In addition, the PAP saw its vote share drop drastically, down almost 9% to 61.2% from 69.9% in GE2015. Singapore’s electorate is unique in that a significant proportion is comprised of swing voters: Voters who don’t hold any blind allegiance to any political party, but vote based on a variety of factors both micro and macro. The above extreme scenarios were clearly targeted at these swing voters. Well, the swing voters have made their choice, their roar sending 4 more elected opposition MPs into Parliament. This article aims to unpack that roar and what it means for the state of Singaporean politics going forward. 1. The PAP is still the preferred party to form Singapore’s Government Yes, this may come across as blindingly obvious, but it still needs to be said. The swing voter is by its very definition, liable to changes of opinion. And a large factor that determines how a swing voter votes is their perception of how their fellow swing voters are voting. If swing voters perceive that most swing voters are leaning towards voting for the opposition, they might feel compelled to vote for the incumbent. And if the reverse is true, swing voters might feel the need to shore up opposition support. Why is this so? This is because the swing voter is trying to push the vote result into a sweet spot – one that lies between the two extreme scenarios espoused by either side. They don’t want the PAP to sweep all 93 seats in a ‘white tsunami’. Neither do they want the opposition to claim so much territory that the PAP is too weak to form the Government on its own. But because each swing voter only has a binary choice: either they vote for one side or the other (I’m ignoring the third option where they simply spoil their vote), they can’t very well say “I want to vote 0.6 for the PAP and 0.4 for the Opposition with my vote”. And so we can expect the swing voter bloc to continue being a source of uncertainty for both sides in future elections, as long as swing voters are still convinced that the PAP should be the Government. 2. Voters no longer believe that the PAP needs a ‘strong mandate’ to govern. They also don’t buy into the NCMP scheme. Throughout the campaign period, the PAP repeatedly exhorted voters to vote for them alone. Granted, they couldn’t very well give any ground to the opposition without a fight. And therefore there was an attempt to equate voting for the PAP as voting for Singapore’s best interests. However, the main message that voters got was this: PAP will only be able to steer Singapore out of the Covid-19 pandemic if it has a strong mandate from the people. What is a strong mandate, you may ask? While no PAP candidate publicly confirmed it, their incessant harping on the Non-Constituency Member of Parliament (NCMP) scheme as the PAP’s win-win solution for having the PAP in power and a largely de-fanged opposition presence in parliament shows that the PAP truly wanted a parliament where it held every single seat. Clearly, the electorate has different ideas, handing Sengkang GRC to the WP and slashing the PAP’s margins in previous strongholds such as West Coast, Choa Chu Kang and Tanjong Pagar by double digit percentages. There is no doubt from the results that swing voters are convinced that a PAP supermajority is not good for Singapore. They are no longer convinced that to vote for the opposition is a vote against Singapore. They have realized, as members of a maturing democracy surely must, that one can vote for the opposition, yet still be pro-Singapore. 3. Social Media and the Internet are rewriting the electorate’s perception. In the past, there was no way to have an easily accessible record of historical events. With the only information source available being biased mainstream media, Singaporeans could only rely on that to fill in the gaps in their memories. Therefore, Operation Coldstore became a myth of the past, and Chee Soon Juan became a crackpot in the eyes of the people, someone who should never be allowed into Parliament. Fast forward to today. Chee won 45.2% of the votes in Bukit Batok’s Single Member Constituency (SMC). His party-mate, Dr. Paul Tambyah did even better, winning 46.26% of the votes in Bukit Panjang SMC. For someone previously seen as unfit for public office, this is an extremely good result. Chee has been running for elections in Singapore for a long time, and only now is there a significant change in the way he is perceived (and supported) by the electorate. Why? Because of social media and the internet, two things which the PAP does not have absolute control over. With the ability to conduct interviews with social media personalities as well as upload party videos on Youtube, he has been able to display a side of himself to people that the PAP did not want them to see: someone who is merely human just like them, but who is standing up for what he believes in. 4. Reserved Election Shenanigans and Tan Cheng Block: The electorate has not forgotten. Tan Cheng Bock almost became our President in 2011. There are many who say that if Tan Kin Lian and Tan Jee Say had not run, Tony Tan would not have been elected. In March 2016, Tan Cheng Bock publicly declared his interest to run for the next Presidential Election that would be held in 2017. The close result of 2011 and Tan Cheng Bock’s imminent candidacy made the upcoming Presidential Election one that was eagerly anticipated. That is, until the PAP shut down his bid for the presidency just a few months later in September 2016, using its supermajority in Parliament to pass a “reserved election” in which only members of a particular race could take part. Under the new rules that they had drawn up for themselves, it was decreed that only Malays could take part. And not just any Malay. The candidate had to either be a senior executive managing a firm that had S$500 million in shareholders’ equity, or be the Speaker of Parliament or a similarly high post in the public sector (the exact criteria are a bit more in-depth than this, but this is the gist of it. You can find the full criteria here). And who was the Speaker of Parliament at the time? Mdm Halimah, who was conveniently of the right race (Although there was some hooha about her actually being Indian). With the extremely strict private sector criteria and the PAP being able to effectively control who the public sector candidate was, it came as no surprise that Mdm Halimah was declared the only eligible candidate on Nomination Day. A day later, she was Singapore’s President. And all without a single vote cast by any Singaporean. Of course, the PAP denied that this was a move specifically aimed at blocking Tan Cheng Bock’s bid for the presidency. Chan Chun Sing, Singapore’s current Minister of Trade and Industry, stated in 2017 that the Government was prepared to pay the political price over making these changes to the Constitution. We can clearly see from the GE2020 results that a price was indeed paid. A loss of almost 9% of vote share is very significant, although a combination of the first-past-the-post rule and the GRC system ensured that the PAP still won 89.2% of the seats in Parliament despite only garnering 61.2% of the votes. On the whole, it’s naught but a scratch to the PAP’s overwhelming dominance in Parliament. The PAP still retains its supermajority and can make changes to the Constitution anytime that it likes. But the swing voters have sent a clear signal that they have not been persuaded by the PAP’s rationale. 5. Swing Voters do not want Racial Politics. In 2019, Heng Swee Keat, Singapore’s Deputy Prime Minister and the man who is next in line to be Prime Minister (PM) commented that Singapore was not ready to have a non-Chinese PM. He further added that race is an issue that always arises at election-time in Singapore. Let us now consider the GE2015 results. Tharman Shanmugaratnam, Singapore’s Senior Minister and someone whom many have expressed keenness to be Singapore’s next PM, obtained 79.28% of the vote share in Jurong GRC. This was above even the current Prime Minister Lee Hsien Loong, who scored 78.63% in Ang Mo Kio GRC. Tharman’s score was the highest in the entire election. And now let us consider the GE2020 results. Tharman scored 74.62% in Jurong, again the highest scorer of the entire election, while Hsien Loong scored 71.91%. So Tharman beat the current PM again, and by an even bigger margin than the last time. Furthermore, Swee Keat, who made the infamous comments above, scored just 53.41% in East Coast. Yes, I know I’m ignoring a lot of other factors that influenced these results. But don’t these results show conclusively that Heng’s comments were wrong? We have an Indian leading both the current and future PM in both elections, but yet PAP still feels the need to say that Singapore “hasn’t arrived” at a stage where we can vote without race in mind. In fact, this was the same rationale that supposedly led to the reserved presidency as mentioned in my earlier point. The swing voters have spoken, and it is exceedingly clear to me that the electorate does not care what our highest office-holders are in terms of race, whether it be the PM or the President. Our Singapore pledge firmly states “regardless of race”, and I think the results have shown that we as a people have taken it to heart. But has the PAP? 6. Voters will not be so easily manipulated. On one hand, Singaporeans were exhorted to stay home during the Covid-19 pandemic. Contact tracing became mandatory, and groups of more than 5 are prohibited. But on the other hand, we are also told that it’s absolutely necessary to hold an election during this same period, for Singaporeans to wait in long lines and in close proximity to each other as we congregate to cast our vote, all because the PAP needs a strong mandate. On one hand, Heng Swee Keat lambasted the Worker’s Party, claiming that it was “playing games with voters” over their refusal to confirm if they would accept NCMP seats. But on the other hand, Heng Swee Keat was moved to the East Coast GRC at the eleventh hour in a surprise move to secure the constituency. (As mentioned above, he was aptly rewarded for this with a razor-thin margin of just 53.41% of the votes.) On one hand, Masagos Zulkifli, PAP Vice-Chairman stated that “candidates should not be defined by a single moment in time or in their career, but judged instead by their growth throughout their life”. He said this in defense of Ivan Lim, who appears to be the very first candidate in Singaporean politics to have been pushed into retracting his candidacy by the power of non-mainstream media. But on the other hand, the PAP called on the WP to make clear its stand on Raeesah Khan, a WP candidate who ran (and won) in Sengkang GRC for this election, stating that the Police investigation into Raeesah’s comments made on social media was “a serious matter which goes to the fundamental principles on which our country has been built”. On one hand, Chan Chun Sing stated in 2015, referring to SingFirst’s policies about giving allowances to the young and the elderly, “Some of them promised you $300 per month. I say, please don’t insult my residents. You think…. they are here to be bribed?” On the other hand, the PAP Government has just given out several handouts under its many budgets to help Singaporeans cope with the Covid-19 situation. [To be clear, I totally approve of these handouts. What I don’t approve is that the PAP felt the need to lambast similar policies as bribery in the past. Comparing a policy with a crime is a political low blow in my book.] I could go on, but I think I’ve made my point. And so did the electorate in this election, putting their vote where it counted to show their disdain for the heavy-handedness and double standards that the PAP has displayed for this election. Conclusion I don’t say the above to put down the PAP. The PAP would have you believe that to not support them is equivalent to not wanting what’s best for Singapore. This is a false dichotomy that must be stamped out, and I am glad to see our swing voters taking a real stand with this election. No, I say the above as a harsh but ultimately supportive letter to the PAP. As everyone can see from the results, we all still firmly believe that the PAP should be the Government. We still have faith that PAP has the leadership to take us forward and out of the Covid-19 crisis. But we also want to send the PAP a strong signal with this vote, to bring them down from their ivory towers and down to the ground. Enough with the double standards. Enough with the heavy-handedness. Singaporeans have clearly stated their desire for a more mature democracy, and that means more alternative voices in Parliament. The PAP needs to stop acting as the father who knows it all, and to start acting as the bigger brother who can work hand in hand with his alternative younger brother towards what’s best for the entire family: Singapore. There is a real chance that the PAP will not listen, though. As Lee Hsien Loong admitted in a rally in 2006, “if there are 10, 20… opposition members in Parliament… I have to spent my time thinking what is the right way to fix them”. Now, the PAP has POFMA at its disposal. It still has the supermajority in Parliament, making them able to change any law in Singapore, even the Constitution at will. We have already seen them put these tools to use for its own benefit. Let us see if the PAP will continue as it has always done, or will it take this opportunity to change itself for the better. Whatever the case, we will be watching, and we will be waiting to make our roar heard once again five years down the road. Majulah Singapura! Article Ends Here. Here's the link to the actual article: https://thethoughtexperiment.org/2020/07/11/ge2020-the-roar-of-the-swing-vote And here's the link to the other political articles I've written about Singapore: https://thethoughtexperiment.org/2020/07/07/ge2020-the-state-of-play/ https://thethoughtexperiment.org/2015/09/10/ge2015-voting-wisely/ https://thethoughtexperiment.org/2015/09/05/expectations-of-the-opposition/
[List] Horror launches their campaign for the Green Left Party at a Dunedin Town Hall Meeting. The event is live streamed to Horror’s Facebook Page and Twitch Channel
Good Morning Dunedin and our viewers online. Today, we mark a defining moment in the history of this nation. Aotearoa is a fair nation, a nation of beautiful vistas, rich culture and heritage, a nation of heroes and progress. Aotearoa is most certainly a shining beacon for the nations of the world as we, the kiwis, lead humanity on a brave march towards progress, civilisation and a golden age of enlightenment, prosperity and human decency! However, in recent years, our march has been stalled. It has been beset by danger and trouble. We look forward and we see only treachery and decay. The Climate Crisis, Human Rights Destruction, Rampant Inequality and a Housing Crisis in our front yards. Friends, how is it right to say that Aotearoa is the bastion of progress when these issues lie on our doorstep? When I think of the future, I, like all of us, want to imagine a future of boundless plains. A future where one’s worth is not judged by economic statistics or production quotas, but by the human capacity for goodness. I truly believe that Kiwis, and indeed most of the world’s population, are decent, hard working people dedicated to a better future for their kids and a comfortable, quiet life. But how can we attain this in a system that breeds antagonism? In a system deliberately created to sow alienation and distrust? My friends, there is no true cooperation of humanity whilst we remain trapped in the capitalist system! My promise to you is, we will advance. Humanity will prevail, we will take control of our destiny, the common people of the world shall lead us on a glorious shining path towards a brighter future. But friends, that cannot happen, that will not happen, without your support and without the support of your families, of your friends, of each other in solidarity and against those powers which seek to strike us down, which seek to repress us and depress the movement of the people! With this in mind, let us turn to the first issue, The Climate Crisis. These series of speeches and livestreams over the next 4 days will delve into the ways that we, the people, through the Green Left party, will seek to challenge and overcome the many crises on Aotearoa’s doorstep. The first of these crises, and the most pressing for the long term survival of the human race and the health of the planet is the climate crisis. For too long, politicians have ignored the very real, pressing and rapidly impending threat of a changing climate. Already, our brothers and sisters in the pacific are facing the very real possibility of losing land, culture, history and their livelihoods to the rising waves. The antarctic is breaking. The arctic is melting. Snowfall is shrinking. The Sahara is growing. There will be hundreds of millions of climate refugees across the world, retreating from the desertification of their homes, the flooding of their towns or the destruction of civil war for resources and territory. If New Zealand is to be the leader I know we can be, we must boldly take the first step in our aggressive and active pursuit of climate action and justice for those at the forefront of the crisis. To do this, the Green Left is proposing several key policy targets. Firstly, we must commit to a 100% renewable energy target by 2030. Without bold action such as this, we can never hope to keep the global temperature increase below 2c, let alone below 1.5c like we should. Secondly, the government will mandate solar panels on all new public housing. As explained, New Zealand is facing a housing crisis, and the tackling of that will require new public housing to be built. We must commit to offset emissions from all new housing developments and we will also march towards our goal of 100% renewable energy by installing solar panels on all new housing. Our third target is to include Farming as part of the emissions trading scheme. The emissions trading scheme is proven to reduce emissions and help tackle the climate crisis. If Aotearoa is to achieve our ambitious targets, we need to take ambitious actions. While including agriculture as part of the Emissions Trading Scheme will hurt our farmers in the short term, the Green Left is committed to ensuring that all workers and business owners receive the government support they need to transition their industries into our new green economy. As part of our climate policy, we must ensure that no child, no family, no hard working kiwi, is left behind. That is why the Green Left will be mandating a just transition process that preserves our high standard of living and wages in the present, while balancing that with a sustainable and bountiful future for our children and grandchildren. Finally, the Green Left has a plan towards the decarbonisation of transportation. Chiefly this involves 4 major policy points. First, the ban of Internal Combustion Engine Vehicles being imported into Aotearoa by 2030. To facilitate this, a Green Left government will take the necessary measures to guarantee safe, affordable and efficient transportation networks and private options for individuals and their communities. This efficient network will be built upon the fee-free public transport system Green Left will be working towards, to be paid for by the rejuvenated and energetic green economy we are building right here. Thirdly, we will create a mandated target of 100kms of track to be electrified across New Zealand every year. Unlike previous governments, who set ambitious targets, without the will nor way, the Green Left encourages you to hold us accountable and we promise, within the first term to pave the way for legislation to this effect. It is only right that the government is for the people and obeys the people! Fourth and final policy point for today, Green Left will be investing heavily into light rail projects across Aotearoa. This includes in Northwestern Auckland, along Dominion Road, and around Wellington Airport. Friends, ladies, gentlemen and non-binary folk who’ve tuned into today's broadcast or are here with me live in Dunedin, thank you for listening today. Together, we can build a brighter future. There is a shining path ahead for humanity, but only if we clear it for the world, together, united and marching forward in solidarity! Remember, vote #1 for the Green Left candidate in your electorate and for me and our friends on the party ticket!
Wall Street Week Ahead for the trading week beginning June 29th, 2020
Good Saturday afternoon to all of you here on StockMarket. 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 June 29th, 2020.
Fragile economic recovery faces first big test with June jobs report in the week ahead - (Source)
The second half of 2020 is nearly here, and now it’s up to the economy to prove that the stock market was right about a sharp comeback in growth. The first big test will be the June jobs report, out on Thursday instead of its usual Friday release due to the July 4 holiday. According to Refinitiv, economists expect 3 million jobs were created, after May’s surprise gain of 2.5 million payrolls beat forecasts by a whopping 10 million jobs. “If it’s stronger, it will suggest that the improvement is quicker, and that’s kind of what we saw in May with better retail sales, confidence was coming back a little and auto sales were better,” said Kevin Cummins, chief U.S. economist at NatWest Markets. The second quarter winds down in the week ahead as investors are hopeful about the recovery but warily eyeing rising cases of Covid-19 in a number of states. Stocks were lower for the week, as markets reacted to rising cases in Texas, Florida and other states. Investors worry about the threat to the economic rebound as those states move to curb some activities. The S&P 500 is up more than 16% so far for the second quarter, and it is down nearly 7% for the year. Friday’s losses wiped out the last of the index’s June gains. “I think the stock market is looking beyond the valley. It is expecting a V-shaped economic recovery and a solid 2021 earnings picture,” said Sam Stovall, chief investment strategist at CFRA. He expects large-cap company earnings to be up 30% next year, and small-cap profits to bounce back by 140%. “I think the second half needs to be a ‘show me’ period, proving that our optimism was justified, and we’ll need to see continued improvement in the economic data, and I think we need to see upward revisions to earnings estimates,” Stovall said. Liz Ann Sonders, chief investment strategist at Charles Schwab, said she expects the recovery will not be as smooth as some expect, particularly considering the resurgence of virus outbreaks in sunbelt states and California. “Now as I watch what’s happening I think it’s more likely to be rolling Ws,” rather than a V, she said. “It’s not just predicated on a second wave. I’m not sure we ever exited the first wave.” Even without actual state shutdowns, the virus could slow economic activity. “That doesn’t mean businesses won’t shut themselves down, or consumers won’t back down more,” she said.
In the second half of the year, the market should turn its attention to the election, but Sonders does not expect much reaction to it until after Labor Day. RealClearPolitics average of polls shows Democrat Joe Biden leading President Donald Trump by 10 percentage points, and the odds of a Democratic sweep have been rising. Biden has said he would raise corporate taxes, and some strategists say a sweep would be bad for business, due to increased regulation and higher taxes. Trump is expected to continue using tariffs, which unsettles the market, though both candidates are expected to take a tough stance on China. “If it looks like the Senate stays Republican than there’s less to worry about in terms of policy changes,” Sonders said. “I don’t think it’s ever as binary as some people think.” Stovall said a quick study shows that in the four presidential election years back to 1960, where the first quarter was negative, and the second quarter positive, stocks made gains in the second half. Those were 1960 when John Kennedy took office, 1968, when Richard Nixon won; 1980 when Ronald Reagan’s was elected to his first term; and 1992, the first win by Bill Clinton. Coincidentally, in all of those years, the opposing party gained control of the White House.
The stocks market’s strong second-quarter showing came after the Fed and Congress moved quickly to inject the economy with trillions in stimulus. That unlocked credit markets and triggered a stampede by companies to restructure or issue debt. About $2 trillion in fiscal spending was aimed at consumers and businesses, who were in sudden need of cash after the abrupt shutdown of the economy. Fed Chairman Jerome Powell and Treasury Secretary Steven Mnuchin both testify before the House Financial Services Committee Tuesday on the response to the virus. That will be important as markets look ahead to another fiscal package from Congress this summer, which is expected to provide aid to states and local governments; extend some enhanced benefits for unemployment, and provide more support for businesses. “So much of it is still so fluid. There are a bunch of fiscal items that are rolling off. There’s talk about another fiscal stimulus payment like they did last time with a $1,200 check,” said Cummins. Strategists expect Congress to bicker about the size and content of the stimulus package but ultimately come to an agreement before enhanced unemployment benefits run out at the end of July. Cummins said state budgets begin a new year July 1, and states with a critical need for funds may have to start letting workers go, as they cut expenses. The Trump administration has indicated the jobs report Thursday could help shape the fiscal package, depending on what it shows. The federal supplement to state unemployment benefits has been $600 a week, but there is opposition to extending that, and strategists expect it to be at least cut in half. The unemployment rate is expected to fall to 12.2% from 13.3% in May. Cummins said he had expected 7.2 million jobs, well above the consensus, and an unemployment rate of 11.8%. As of last week, nearly 20 million people were collecting state unemployment benefits, and millions more were collecting under a federal pandemic aid program. “The magnitude here and whether it’s 3 million or 7 million is kind of hard to handicap to begin with,” Cummins said. Economists have preferred to look at unemployment claims as a better real time read of employment, but they now say those numbers could be impacted by slow reporting or double filing. “There’s no clarity on how you define the unemployed in the Covid 19 environment,” said Chris Rupkey, chief financial economist at MUFG Union Bank. “If there’s 30 million people receiving insurance, unemployment should be above 20%.
This past week saw the following moves in the S&P:
The economy is moving in the right direction, as many economic data points are coming in substantially better than what the economists expected. From May job gains coming in more than 10 million higher than expected and retail sales soaring a record 18%, how quickly the economy is bouncing back has surprised nearly everyone. “As good as the recent economic data has been, we want to make it clear, it could still take years for the economy to fully come back,” explained LPL Financial Senior Market Strategist Ryan Detrick. “Think of it like building a house. You get all the big stuff done early, then some of the small things take so much longer to finish; I’m looking at you crown molding.” Here’s the hard truth; it might take years for all of the jobs that were lost to fully recover. In fact, during the 10 recessions since 1950, it took an average of 30 months for lost jobs to finally come back. As the LPL Chart of the Day shows, recoveries have taken much longer lately. In fact, it took four years for the jobs lost during the tech bubble recession of the early 2000s to come back and more than six years for all the jobs lost to come back after the Great Recession. Given many more jobs were lost during this recession, it could takes many years before all of them indeed come back.
The economy is going the right direction, and if there is no major second wave outbreak it could surprise to the upside. Importantly, this economic recovery will still be a long and bumpy road.
Nasdaq - Russell Spread Pulling the Rubber Band Tight
The Nasdaq has been outperforming every other US-based equity index over the last year, and nowhere has the disparity been wider than with small caps. The chart below compares the performance of the Nasdaq and Russell 2000 over the last 12 months. While the performance disparity is wide now, through last summer, the two indices were tracking each other nearly step for step. Then last fall, the Nasdaq started to steadily pull ahead before really separating itself in the bounce off the March lows. Just to illustrate how wide the gap between the two indices has become, over the last six months, the Nasdaq is up 11.9% compared to a decline of 15.8% for the Russell 2000. That's wide!
In order to put the recent performance disparity between the two indices into perspective, the chart below shows the rolling six-month performance spread between the two indices going back to 1980. With a current spread of 27.7 percentage points, the gap between the two indices hasn't been this wide since the days of the dot-com boom. Back in February 2000, the spread between the two indices widened out to more than 50 percentage points. Not only was that period extreme, but ten months before that extreme reading, the spread also widened out to more than 51 percentage points. The current spread is wide, but with two separate periods in 1999 and 2000 where the performance gap between the two indices was nearly double the current level, that was a period where the Nasdaq REALLY outperformed small caps.
To illustrate the magnitude of the Nasdaq's outperformance over the Russell 2000 from late 1998 through early 2000, the chart below shows the performance of the two indices beginning in October 1998. From that point right on through March of 2000 when the Nasdaq peaked, the Nasdaq rallied more than 200% compared to the Russell 2000 which was up a relatively meager 64%. In any other environment, a 64% gain in less than a year and a half would be excellent, but when it was under the shadow of the surging Nasdaq, it seemed like a pittance.
The US equity market made its most recent peak on June 8th. From the March 23rd low through June 8th, the average stock in the large-cap Russell 1,000 was up more than 65%! Since June 8th, the average stock in the index is down more than 11%. Below we have broken the index into deciles (10 groups of 100 stocks each) based on simple share price as of June 8th. Decile 1 (marked "Highest" in the chart) contains the 10% of stocks with the highest share prices. Decile 10 (marked "Lowest" in the chart) contains the 10% of stocks with the lowest share prices. As shown, the highest priced decile of stocks are down an average of just 4.8% since June 8th, while the lowest priced decile of stocks are down an average of 21.5%. It's pretty remarkable how performance gets weaker and weaker the lower the share price gets.
It's hard to believe that sentiment can change so fast in the market that one day investors and traders are bidding up stocks to record highs, but then the next day sell them so much that it takes the market down over 2%. That's exactly what happened not only in the last two days but also two weeks ago. While the 5% pullback from a record high back on June 10th took the Nasdaq back below its February high, this time around, the Nasdaq has been able to hold above those February highs.
In the entire history of the Nasdaq, there have only been 12 periods prior to this week where the Nasdaq closed at an all-time high on one day but dropped more than 2% the next day. Those occurrences are highlighted in the table below along with the index's performance over the following week, month, three months, six months, and one year. We have also highlighted each occurrence that followed a prior one by less than three months in gray. What immediately stands out in the table is how much gray shading there is. In other words, these types of events tend to happen in bunches, and if you count the original occurrence in each of the bunches, the only two occurrences that didn't come within three months of another occurrence (either before or after) were July 1986 and May 2017. In terms of market performance following prior occurrences, the Nasdaq's average and median returns were generally below average, but there is a pretty big caveat. While the average one-year performance was a gain of 1.0% and a decline of 23.6% on a median basis, the six occurrences that came between December 1999 and March 2000 all essentially cover the same period (which was very bad) and skew the results. Likewise, the three occurrences in the two-month stretch from late November 1998 through January 1999 where the Nasdaq saw strong gains also involves a degree of double-counting. As a result of these performances at either end of the extreme, it's hard to draw any trends from the prior occurrences except to say that they are typically followed by big moves in either direction. The only time the Nasdaq wasn't either 20% higher or lower one year later was in 1986.
In the mid-1980s the market began to evolve into a tech-driven market and the market’s focus in early summer shifted to the outlook for second quarter earnings of technology companies. Over the last three trading days of June and the first nine trading days in July, NASDAQ typically enjoys a rally. This 12-day run has been up 27 of the past 35 years with an average historical gain of 2.5%. This year the rally may have begun a day early, today and could last until on or around July 14. After the bursting of the tech bubble in 2000, NASDAQ’s mid-year rally had a spotty track record from 2002 until 2009 with three appearances and five no-shows in those years. However, it has been quite solid over the last ten years, up nine times with a single mild 0.1% loss in 2015. Last year, NASDAQ advanced a solid 4.6% during the 12-day span.
Tech Historically Leads Market Higher Until Q3 of Election Years
As of yesterday’s close DJIA was down 8.8% year-to-date. S&P 500 was down 3.5% and NASDAQ was up 12.1%. Compared to the typical election year, DJIA and S&P 500 are below historical average performance while NASDAQ is above average. However this year has not been a typical election year. Due to the covid-19, the market suffered the damage of the shortest bear market on record and a new bull market all before the first half of the year has come to an end. In the surrounding Seasonal Patten Charts of DJIA, S&P 500 and NASDAQ, we compare 2020 (as of yesterday’s close) to All Years and Election Years. This year’s performance has been plotted on the right vertical axis in each chart. This year certainly has been unlike any other however some notable observations can be made. For DJIA and S&P 500, January, February and approximately half of March have historically been weak, on average, in election years. This year the bear market ended on March 23. Following those past weak starts, DJIA and S&P 500 historically enjoyed strength lasting into September before experiencing any significant pullback followed by a nice yearend rally. NASDAQ’s election year pattern differs somewhat with six fewer years of data, but it does hint to a possible late Q3 peak.
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Micron Technology, Inc. $48.49
Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, June 29, 2020. The consensus earnings estimate is $0.71 per share on revenue of $5.27 billion and the Earnings Whisper ® number is $0.70 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for earnings of $0.40 to $0.70 per share. Consensus estimates are for earnings to decline year-over-year by 29.00% with revenue increasing by 10.07%. Short interest has increased by 7.6% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release to be 0.9% below its 200 day moving average of $48.94. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 11, 2020 there was some notable buying of 46,037 contracts of the $60.00 call expiring on Friday, July 17, 2020. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 8.4% move in recent quarters.
General Mills, Inc. (GIS) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.04 per share on revenue of $4.89 billion and the Earnings Whisper ® number is $1.10 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 25.30% with revenue increasing by 17.50%. Short interest has decreased by 9.4% since the company's last earnings release while the stock has drifted higher by 2.7% from its open following the earnings release to be 7.8% above its 200 day moving average of $54.91. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, June 24, 2020 there was some notable buying of 8,573 contracts of the $60.00 call expiring on Friday, July 17, 2020. Option traders are pricing in a 6.6% move on earnings and the stock has averaged a 3.0% move in recent quarters.
FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $1.42 per share on revenue of $16.31 billion and the Earnings Whisper ® number is $1.65 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 71.66% with revenue decreasing by 8.41%. Short interest has increased by 10.4% since the company's last earnings release while the stock has drifted higher by 43.9% from its open following the earnings release to be 7.6% below its 200 day moving average of $140.75. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 25, 2020 there was some notable buying of 1,768 contracts of the $145.00 call expiring on Thursday, July 2, 2020. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 7.7% move in recent quarters.
Conagra Brands, Inc. (CAG) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.66 per share on revenue of $3.24 billion and the Earnings Whisper ® number is $0.69 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 83.33% with revenue increasing by 23.99%. Short interest has decreased by 38.3% since the company's last earnings release while the stock has drifted higher by 6.3% from its open following the earnings release to be 6.4% above its 200 day moving average of $30.68. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 11, 2020 there was some notable buying of 3,239 contracts of the $29.00 put expiring on Thursday, July 2, 2020. Option traders are pricing in a 4.7% move on earnings and the stock has averaged a 10.8% move in recent quarters.
Constellation Brands, Inc. (STZ) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.91 per share on revenue of $1.97 billion and the Earnings Whisper ® number is $2.12 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 13.57% with revenue decreasing by 13.69%. Short interest has increased by 20.8% since the company's last earnings release while the stock has drifted higher by 25.2% from its open following the earnings release to be 5.2% below its 200 day moving average of $178.34. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, June 9, 2020 there was some notable buying of 888 contracts of the $195.00 call expiring on Friday, October 16, 2020. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 5.7% move in recent quarters.
Capri Holdings Limited (CPRI) is confirmed to report earnings at approximately 6:30 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $0.32 per share on revenue of $1.18 billion and the Earnings Whisper ® number is $0.34 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat The company's guidance was for earnings of $0.68 to $0.73 per share. Consensus estimates are for earnings to decline year-over-year by 49.21% with revenue decreasing by 12.20%. Short interest has increased by 35.1% since the company's last earnings release while the stock has drifted lower by 56.7% from its open following the earnings release to be 44.0% below its 200 day moving average of $25.67. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 4, 2020 there was some notable buying of 11,042 contracts of the $17.50 put expiring on Friday, August 21, 2020. Option traders are pricing in a 10.8% move on earnings and the stock has averaged a 6.7% move in recent quarters.
X Financial (XYF) is confirmed to report earnings at approximately 5:00 PM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.09 per share. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 55.00% with revenue increasing by 763.52%. Short interest has increased by 1.0% since the company's last earnings release while the stock has drifted lower by 1.2% from its open following the earnings release to be 37.7% below its 200 day moving average of $1.47. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 4.9% move on earnings in recent quarters.
Acuity Brands, Inc. (AYI) is confirmed to report earnings at approximately 8:40 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $1.14 per share on revenue of $809.25 million and the Earnings Whisper ® number is $1.09 per share. Investor sentiment going into the company's earnings release has 42% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 51.90% with revenue decreasing by 14.60%. Short interest has increased by 48.5% since the company's last earnings release while the stock has drifted higher by 2.4% from its open following the earnings release to be 23.4% below its 200 day moving average of $110.25. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 8.2% move in recent quarters.
Methode Electronics, Inc. (MEI) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, June 30, 2020. The consensus earnings estimate is $0.77 per share on revenue of $211.39 million. Investor sentiment going into the company's earnings release has 45% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 24.19% with revenue decreasing by 20.53%. Short interest has increased by 6.2% since the company's last earnings release while the stock has drifted lower by 1.7% from its open following the earnings release to be 9.0% below its 200 day moving average of $32.97. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 18.4% move on earnings and the stock has averaged a 8.1% move in recent quarters.
UniFirst Corporation (UNF) is confirmed to report earnings at approximately 8:00 AM ET on Wednesday, July 1, 2020. The consensus earnings estimate is $1.17 per share on revenue of $378.28 million and the Earnings Whisper ® number is $1.25 per share. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.44% with revenue decreasing by 16.63%. Short interest has decreased by 2.7% since the company's last earnings release while the stock has drifted higher by 14.1% from its open following the earnings release to be 8.4% below its 200 day moving average of $186.14. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 7.0% move on earnings in recent quarters.
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