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The classic WSB story - lost it all.

Going to keep this simple. EDIT: this isn’t simple and I should write a short story on this.
I am generally risk averse. I hate losing $100 at the casino, I hate paying extra for guac at chipotles, I will return something or price match an item for a few dollars of savings. I am generally frugal.
But, I somehow had no issues losing 10k in options...
How I started
I remember my first trades like they were yesterday. I was trading the first hydrogen run-up in 2014 (FCEL, BLDP, PLUG) and made a few hundred dollars over a couple weeks.
I quickly progressed to penny stocks / biotech binary events and general stock market gambling mid-2014. I was making a few % here and there but the trend was down in total account value. I was the king of buying the peak in run-ups. I managed to make it out of 2014 close to break-even to slightly down.
WSB Era
March 2015 was my first option trade. It was an AXP - American Express - monthly option trade. I saw one of the regular option traders/services post a block of 10,000 calls that had been bought for 1.3 and I followed the trade with 10 call options for a total of $1300.
I woke up the next day to an analyst upgrade on AXP and was up 50% on my position. I was addicted! I day-dreamed for days about my AXP over night success. I think around that time there was some sort of Buffet buyout of Heinz and an option trade that was up a ridiculous amount of %%%. I wanted to hit it BIG.
I came up with the idea that all I needed to reach my goal was a few 100% over night gains/ 1k>2k>4k>8k> etc. I convinced myself that I would have no problems being patient for the exact criteria that I had set and worked on some other trades.
Remember, the first win is always free.
I was trading options pretty regularly from March 2015 until August 2016. During my best week I was up 20k and could feel the milli within reach. I can remember the exact option trade (HTZ) and I was trading weeklies on it.
For those who have been in the market long enough, you will remember the huge drawdown of August 2015.
I lost half my account value on QCOM calls (100 of them) that I followed at the beginning of July and never materialized. I watched them eventually go to 0. It was another 10,000 block that was probably a hedge or sold.
In August 2015 there were some issues with China and all of us woke up to stocks gapping down huge. Unfortunately my idea of buying far dated calls during the following days/weeks after the crash went sideways. I quickly learned that an increase in volatility causes a rise in option prices and I was paying a premium for calls that were going to lose value very quickly (the infamous IV crush).
I kept trading options into the end of 2015 and managed to maintain my account value positive but the trading fees for the year amounted to $30,000+. My broker was loving it.
I tried all the services, all the strategies. I created rules for my option plays: 1. No earnings 2. Only follow the big buys at a discount (10,000 blocks or more). 3. No weekly options 4. Take profit right away 5. Take losses quickly 6. etc.
I had a whole note book of option plays that I was writing down and following. I was paying for option services that all of you know about - remember, they make money on the services and not trading.
I even figured out a loop-hole with my broker: if I didn’t have enough money in my account, I could change my ask price to .01 and then change it to market buy and I would only need to accept a warning ⚠️ for the order to go through. I was able to day trade the option and make money, who cares if I didnt have enough? After a few months of this, I got a call from my broker that told me to stop and that I would be suspended if I continued with this.
By the way, I was always able to satisfy the debit on the account - so it wasn’t an issue of lack of funds.
Lost it all. Started taking money from lines of credits, every penny that I earned and losing it quicker and quicker.
I was a full on gambler but I was convinced that 8 trades would offset all the losses. I kept getting drawn in to the idea that I could hit a homerun and make it out a hero.
I eventually hit rock bottom on some weekly expiring FSLR options that I bought hours before expiration and said to myself - what the f are you doing? I resolved to invest for the long term and stop throwing tendies away.
The feeling was reinforced during the birth of my first born and I thought - what a loser this kid will think of me if he knew how much I was gambling and wasting my life. It was a really powerful moment looking at my kid and reflecting on this idea.
I decided at that point I was going to save every penny I had and invest it on new issues with potential.
Fall 2016
TTD, COUP and NTNX IPO ‘ed I decided I was going to throw every dollar at these and did so for the next few months. I eventually started using margin (up to 215%) and buying these for the next 6 months. They paid out and managed to make it over 100k within the year.
The first 100k was hard but once I crossed it, I never fell below this magic number.
2017 - I did some day trading but it was mostly obsessing over the above issues. I did gamble on a few options here and there but never more than 1k.
2018 - SFIX was my big winner, I bought a gap up in June 2018 and my combined account value had crossed 400k by August 2018. I was really struggling at crossing the 500k account value and experienced 3 x 30-40% drawdowns over the next 2 years before I finally crossed the 500k barrier and have never looked back.
I still made some mistakes over the next few months - AKAO & GSUM come to mind. Both of these resulted in 20k+ losses. Fortunately my winners were much bigger than my losers.
I thought about giving up and moving to index funds - but i was doing well - just experiencing large drawdowns because of leverage.
2019 big winners were CRON SWAV STNE.
2017 / 2018 / 2019 all had six digit capital gains on my tax returns.
At the beginning of 2020 I was still day trading on margin (180-220%) and got a call from my broker that they were tightening up my margin as my account was analyzed by the risk department and deemed too risky. Believe it or not this was right before the covid crash. I brought my margin down to 100-110% of account value and even though the drawdown from covid hit hard, I wasn’t wiped out.
I stayed the course and bought FSLY / RH during the big march drawdown and this resulted in some nice gains over the next few months.
I am constantly changing and testing my investment strategy but let me tell you that obsessing over 1 or 2 ideas and throwing every penny at it and holding for a few years is the best strategy. It may not work at some point but right now it does.
I still day trade but I trade with 10k or less on each individual position. It allows me minimize my losses and my winners are 1-7%. I am able to consistently make between 3-700$/ a day on day trades using the above strategy. I still take losses and still dream about hitting it big with an option trade but dont feel the need to put it all on the line every month / week.
I finally crossed into the two , club. I know people are going to ask for proof or ban but I am not earning anything for posting and the details about some of the trades should be proof enough that I kept a detailed journal of it all. I have way more to write but these are the highlights.
Eventually I will share how I build a position in a story I love. I still sell buy and sell to early but I am working on improving.
TL:DR - I gambled, lost it all and gambled some more lost more. I made it out alive. I have only sold calls/puts lately.
The one common denominator in all successful people is how much they obsess over 1 or 2 ideas. Do the same. All the winners on this sub have gone all in on one idea (FSLY / TSLA ). Stick with new stories or ones that are changing and go all in...wait a second, I didnt learn anything.
submitted by jojo2021 to wallstreetbets [link] [comments]

Says flair added no button still

So excited Can't sleep Options plus leverage Love when autistic leverage an absolutely null awareness of risk reward the righteous. Join me in Sueing @RobinHoodClassAction in your spare time. They are dirty they do shady unethical things like counter party risk against the other platform they also own. While not allowing. You to enter it exit a position Ah or PM but I.digress. make a separate piece for that later. Heheem Step 1. Use abuse worthless broker the aforementioned. With as much leverage as will not set off there risk assessment team. For example voldemortTicker U an then E plus C . We are not allowed to say . Makes mods bum bums sore. They reject your script off rip. Once theta decayed on calls an price fell below 93 cents. You could purchase an even better write options for 1 dollar an 10 cents, expiring in as little as one week for 1 dollar. That's right trade 100 shares for 1 dollar. So naturally I grabbed 250 for the 20th of this month. An then more for the next 2 consecutive months out. I had to pay 10 dollars per contract bc, I have no patients but not relevant. Step 2. Make sure there is an event of non tech analysis origins that will move price one way or the other. *note this doesn't even necessarily have to be in your favor direction. You don't have to be insane or extra and look for a binary outcome like myself. Honestly I was aggrevated an looking for a way to be pretty after multiple PDT suspension the 3rd wasn't even my fault. Anyways you sell for as little as one dollar more than you payed then you double down. Till you get. Txt saying we are closing your position or deposit funds. Example of event . Us in 2019 decided to limit the supply of yellow cakes from foreign power. Global demand is constant or increasing. Step 3. I like the added insurance of volatility of using a Mico cap. 300m or less. Fellow NPC an employees at the scam or company will decide my fate. Not some nasty market maker killing momentum to collect HTB an weekend. Margin. Nor hedge funds that positions by the Quarter. Who buy or sell side institutions catching a hair across the ass. My outcome is bc you worthless NPC panic sold or brave heart avingers assemble hold the linens held the Line!!!!!!! In Unison- So yes why you Wana rinse an repeat. They have all these bogus Greek letters that destroy your position based on price time an baloney. It's better to take a little piece an start mixing a bigger pie An you can do long short . Straddle or strangle her while you hit her from the back. Rule of thumb price of contract falls more than 20% in one day and your not the one purchasing get rid of it. Give that opportunity to the next man live to fight another day. I totally forgot what I was saying maybe some one in the comments will sumorize for me. Last point about scaling. It helps you find instead of picking a top or a bottom. Just increasing the time you have until you push the buy buttons does miracles. Already holding a few is like getting your mourning fix no fomo sickness no chasing. Yolo with finesse ya savages an buy my #stonk cheaper than. I did your welcome NPC
submitted by Mr_Frost360 to smallstreetbets [link] [comments]

Everything You Always Wanted To Know About Swaps* (*But Were Afraid To Ask)

Hello, dummies
It's your old pal, Fuzzy.
As I'm sure you've all noticed, a lot of the stuff that gets posted here is - to put it delicately - fucking ridiculous. More backwards-ass shit gets posted to wallstreetbets than you'd see on a Westboro Baptist community message board. I mean, I had a look at the daily thread yesterday and..... yeesh. I know, I know. We all make like the divine Laura Dern circa 1992 on the daily and stick our hands deep into this steaming heap of shit to find the nuggets of valuable and/or hilarious information within (thanks for reading, BTW). I agree. I love it just the way it is too. That's what makes WSB great.
What I'm getting at is that a lot of the stuff that gets posted here - notwithstanding it being funny or interesting - is just... wrong. Like, fucking your cousin wrong. And to be clear, I mean the fucking your *first* cousin kinda wrong, before my Southerners in the back get all het up (simmer down, Billy Ray - I know Mabel's twice removed on your grand-sister's side). Truly, I try to let it slide. I do my bit to try and put you on the right path. Most of the time, I sleep easy no matter how badly I've seen someone explain what a bank liquidity crisis is. But out of all of those tens of thousands of misguided, autistic attempts at understanding the world of high finance, one thing gets so consistently - so *emphatically* - fucked up and misunderstood by you retards that last night I felt obligated at the end of a long work day to pull together this edition of Finance with Fuzzy just for you. It's so serious I'm not even going to make a u/pokimane gag. Have you guessed what it is yet? Here's a clue. It's in the title of the post.
That's right, friends. Today in the neighborhood we're going to talk all about hedging in financial markets - spots, swaps, collars, forwards, CDS, synthetic CDOs, all that fun shit. Don't worry; I'm going to explain what all the scary words mean and how they impact your OTM RH positions along the way.
We're going to break it down like this. (1) "What's a hedge, Fuzzy?" (2) Common Hedging Strategies and (3) All About ISDAs and Credit Default Swaps.
Before we begin. For the nerds and JV traders in the back (and anyone else who needs to hear this up front) - I am simplifying these descriptions for the purposes of this post. I am also obviously not going to try and cover every exotic form of hedge under the sun or give a detailed summation of what caused the financial crisis. If you are interested in something specific ask a question, but don't try and impress me with your Investopedia skills or technical points I didn't cover; I will just be forced to flex my years of IRL experience on you in the comments and you'll look like a big dummy.
TL;DR? Fuck you. There is no TL;DR. You've come this far already. What's a few more paragraphs? Put down the Cheetos and try to concentrate for the next 5-7 minutes. You'll learn something, and I promise I'll be gentle.
Ready? Let's get started.
1. The Tao of Risk: Hedging as a Way of Life
The simplest way to characterize what a hedge 'is' is to imagine every action having a binary outcome. One is bad, one is good. Red lines, green lines; uppie, downie. With me so far? Good. A 'hedge' is simply the employment of a strategy to mitigate the effect of your action having the wrong binary outcome. You wanted X, but you got Z! Frowny face. A hedge strategy introduces a third outcome. If you hedged against the possibility of Z happening, then you can wind up with Y instead. Not as good as X, but not as bad as Z. The technical definition I like to give my idiot juniors is as follows:
Utilization of a defensive strategy to mitigate risk, at a fraction of the cost to capital of the risk itself.
Congratulations. You just finished Hedging 101. "But Fuzzy, that's easy! I just sold a naked call against my 95% OTM put! I'm adequately hedged!". Spoiler alert: you're not (although good work on executing a collar, which I describe below). What I'm talking about here is what would be referred to as a 'perfect hedge'; a binary outcome where downside is totally mitigated by a risk management strategy. That's not how it works IRL. Pay attention; this is the tricky part.
You can't take a single position and conclude that you're adequately hedged because risks are fluid, not static. So you need to constantly adjust your position in order to maximize the value of the hedge and insure your position. You also need to consider exposure to more than one category of risk. There are micro (specific exposure) risks, and macro (trend exposure) risks, and both need to factor into the hedge calculus.
That's why, in the real world, the value of hedging depends entirely on the design of the hedging strategy itself. Here, when we say "value" of the hedge, we're not talking about cash money - we're talking about the intrinsic value of the hedge relative to the the risk profile of your underlying exposure. To achieve this, people hedge dynamically. In wallstreetbets terms, this means that as the value of your position changes, you need to change your hedges too. The idea is to efficiently and continuously distribute and rebalance risk across different states and periods, taking value from states in which the marginal cost of the hedge is low and putting it back into states where marginal cost of the hedge is high, until the shadow value of your underlying exposure is equalized across your positions. The punchline, I guess, is that one static position is a hedge in the same way that the finger paintings you make for your wife's boyfriend are art - it's technically correct, but you're only playing yourself by believing it.
Anyway. Obviously doing this as a small potatoes trader is hard but it's worth taking into account. Enough basic shit. So how does this work in markets?
2. A Hedging Taxonomy
The best place to start here is a practical question. What does a business need to hedge against? Think about the specific risk that an individual business faces. These are legion, so I'm just going to list a few of the key ones that apply to most corporates. (1) You have commodity risk for the shit you buy or the shit you use. (2) You have currency risk for the money you borrow. (3) You have rate risk on the debt you carry. (4) You have offtake risk for the shit you sell. Complicated, right? To help address the many and varied ways that shit can go wrong in a sophisticated market, smart operators like yours truly have devised a whole bundle of different instruments which can help you manage the risk. I might write about some of the more complicated ones in a later post if people are interested (CDO/CLOs, strip/stack hedges and bond swaps with option toggles come to mind) but let's stick to the basics for now.
(i) Swaps
A swap is one of the most common forms of hedge instrument, and they're used by pretty much everyone that can afford them. The language is complicated but the concept isn't, so pay attention and you'll be fine. This is the most important part of this section so it'll be the longest one.
Swaps are derivative contracts with two counterparties (before you ask, you can't trade 'em on an exchange - they're OTC instruments only). They're used to exchange one cash flow for another cash flow of equal expected value; doing this allows you to take speculative positions on certain financial prices or to alter the cash flows of existing assets or liabilities within a business. "Wait, Fuzz; slow down! What do you mean sets of cash flows?". Fear not, little autist. Ol' Fuzz has you covered.
The cash flows I'm talking about are referred to in swap-land as 'legs'. One leg is fixed - a set payment that's the same every time it gets paid - and the other is variable - it fluctuates (typically indexed off the price of the underlying risk that you are speculating on / protecting against). You set it up at the start so that they're notionally equal and the two legs net off; so at open, the swap is a zero NPV instrument. Here's where the fun starts. If the price that you based the variable leg of the swap on changes, the value of the swap will shift; the party on the wrong side of the move ponies up via the variable payment. It's a zero sum game.
I'll give you an example using the most vanilla swap around; an interest rate trade. Here's how it works. You borrow money from a bank, and they charge you a rate of interest. You lock the rate up front, because you're smart like that. But then - quelle surprise! - the rate gets better after you borrow. Now you're bagholding to the tune of, I don't know, 5 bps. Doesn't sound like much but on a billion dollar loan that's a lot of money (a classic example of the kind of 'small, deep hole' that's terrible for profits). Now, if you had a swap contract on the rate before you entered the trade, you're set; if the rate goes down, you get a payment under the swap. If it goes up, whatever payment you're making to the bank is netted off by the fact that you're borrowing at a sub-market rate. Win-win! Or, at least, Lose Less / Lose Less. That's the name of the game in hedging.
There are many different kinds of swaps, some of which are pretty exotic; but they're all different variations on the same theme. If your business has exposure to something which fluctuates in price, you trade swaps to hedge against the fluctuation. The valuation of swaps is also super interesting but I guarantee you that 99% of you won't understand it so I'm not going to try and explain it here although I encourage you to google it if you're interested.
Because they're OTC, none of them are filed publicly. Someeeeeetimes you see an ISDA (dsicussed below) but the confirms themselves (the individual swaps) are not filed. You can usually read about the hedging strategy in a 10-K, though. For what it's worth, most modern credit agreements ban speculative hedging. Top tip: This is occasionally something worth checking in credit agreements when you invest in businesses that are debt issuers - being able to do this increases the risk profile significantly and is particularly important in times of economic volatility (ctrl+f "non-speculative" in the credit agreement to be sure).
(ii) Forwards
A forward is a contract made today for the future delivery of an asset at a pre-agreed price. That's it. "But Fuzzy! That sounds just like a futures contract!". I know. Confusing, right? Just like a futures trade, forwards are generally used in commodity or forex land to protect against price fluctuations. The differences between forwards and futures are small but significant. I'm not going to go into super boring detail because I don't think many of you are commodities traders but it is still an important thing to understand even if you're just an RH jockey, so stick with me.
Just like swaps, forwards are OTC contracts - they're not publicly traded. This is distinct from futures, which are traded on exchanges (see The Ballad Of Big Dick Vick for some more color on this). In a forward, no money changes hands until the maturity date of the contract when delivery and receipt are carried out; price and quantity are locked in from day 1. As you now know having read about BDV, futures are marked to market daily, and normally people close them out with synthetic settlement using an inverse position. They're also liquid, and that makes them easier to unwind or close out in case shit goes sideways.
People use forwards when they absolutely have to get rid of the thing they made (or take delivery of the thing they need). If you're a miner, or a farmer, you use this shit to make sure that at the end of the production cycle, you can get rid of the shit you made (and you won't get fucked by someone taking cash settlement over delivery). If you're a buyer, you use them to guarantee that you'll get whatever the shit is that you'll need at a price agreed in advance. Because they're OTC, you can also exactly tailor them to the requirements of your particular circumstances.
These contracts are incredibly byzantine (and there are even crazier synthetic forwards you can see in money markets for the true degenerate fund managers). In my experience, only Texan oilfield magnates, commodities traders, and the weirdo forex crowd fuck with them. I (i) do not own a 10 gallon hat or a novelty size belt buckle (ii) do not wake up in the middle of the night freaking out about the price of pork fat and (iii) love greenbacks too much to care about other countries' monopoly money, so I don't fuck with them.
(iii) Collars
No, not the kind your wife is encouraging you to wear try out to 'spice things up' in the bedroom during quarantine. Collars are actually the hedging strategy most applicable to WSB. Collars deal with options! Hooray!
To execute a basic collar (also called a wrapper by tea-drinking Brits and people from the Antipodes), you buy an out of the money put while simultaneously writing a covered call on the same equity. The put protects your position against price drops and writing the call produces income that offsets the put premium. Doing this limits your tendies (you can only profit up to the strike price of the call) but also writes down your risk. If you screen large volume trades with a VOL/OI of more than 3 or 4x (and they're not bullshit biotech stocks), you can sometimes see these being constructed in real time as hedge funds protect themselves on their shorts.
(3) All About ISDAs, CDS and Synthetic CDOs
You may have heard about the mythical ISDA. Much like an indenture (discussed in my post on $F), it's a magic legal machine that lets you build swaps via trade confirms with a willing counterparty. They are very complicated legal documents and you need to be a true expert to fuck with them. Fortunately, I am, so I do. They're made of two parts; a Master (which is a form agreement that's always the same) and a Schedule (which amends the Master to include your specific terms). They are also the engine behind just about every major credit crunch of the last 10+ years.
First - a brief explainer. An ISDA is a not in and of itself a hedge - it's an umbrella contract that governs the terms of your swaps, which you use to construct your hedge position. You can trade commodities, forex, rates, whatever, all under the same ISDA.
Let me explain. Remember when we talked about swaps? Right. So. You can trade swaps on just about anything. In the late 90s and early 2000s, people had the smart idea of using other people's debt and or credit ratings as the variable leg of swap documentation. These are called credit default swaps. I was actually starting out at a bank during this time and, I gotta tell you, the only thing I can compare people's enthusiasm for this shit to was that moment in your early teens when you discover jerking off. Except, unlike your bathroom bound shame sessions to Mom's Sears catalogue, every single person you know felt that way too; and they're all doing it at once. It was a fiscal circlejerk of epic proportions, and the financial crisis was the inevitable bukkake finish. WSB autism is absolutely no comparison for the enthusiasm people had during this time for lighting each other's money on fire.
Here's how it works. You pick a company. Any company. Maybe even your own! And then you write a swap. In the swap, you define "Credit Event" with respect to that company's debt as the variable leg . And you write in... whatever you want. A ratings downgrade, default under the docs, failure to meet a leverage ratio or FCCR for a certain testing period... whatever. Now, this started out as a hedge position, just like we discussed above. The purest of intentions, of course. But then people realized - if bad shit happens, you make money. And banks... don't like calling in loans or forcing bankruptcies. Can you smell what the moral hazard is cooking?
Enter synthetic CDOs. CDOs are basically pools of asset backed securities that invest in debt (loans or bonds). They've been around for a minute but they got famous in the 2000s because a shitload of them containing subprime mortgage debt went belly up in 2008. This got a lot of publicity because a lot of sad looking rednecks got foreclosed on and were interviewed on CNBC. "OH!", the people cried. "Look at those big bad bankers buying up subprime loans! They caused this!". Wrong answer, America. The debt wasn't the problem. What a lot of people don't realize is that the real meat of the problem was not in regular way CDOs investing in bundles of shit mortgage debts in synthetic CDOs investing in CDS predicated on that debt. They're synthetic because they don't have a stake in the actual underlying debt; just the instruments riding on the coattails. The reason these are so popular (and remain so) is that smart structured attorneys and bankers like your faithful correspondent realized that an even more profitable and efficient way of building high yield products with limited downside was investing in instruments that profit from failure of debt and in instruments that rely on that debt and then hedging that exposure with other CDS instruments in paired trades, and on and on up the chain. The problem with doing this was that everyone wound up exposed to everybody else's books as a result, and when one went tits up, everybody did. Hence, recession, Basel III, etc. Thanks, Obama.
Heavy investment in CDS can also have a warping effect on the price of debt (something else that happened during the pre-financial crisis years and is starting to happen again now). This happens in three different ways. (1) Investors who previously were long on the debt hedge their position by selling CDS protection on the underlying, putting downward pressure on the debt price. (2) Investors who previously shorted the debt switch to buying CDS protection because the relatively illiquid debt (partic. when its a bond) trades at a discount below par compared to the CDS. The resulting reduction in short selling puts upward pressure on the bond price. (3) The delta in price and actual value of the debt tempts some investors to become NBTs (neg basis traders) who long the debt and purchase CDS protection. If traders can't take leverage, nothing happens to the price of the debt. If basis traders can take leverage (which is nearly always the case because they're holding a hedged position), they can push up or depress the debt price, goosing swap premiums etc. Anyway. Enough technical details.
I could keep going. This is a fascinating topic that is very poorly understood and explained, mainly because the people that caused it all still work on the street and use the same tactics today (it's also terribly taught at business schools because none of the teachers were actually around to see how this played out live). But it relates to the topic of today's lesson, so I thought I'd include it here.
Work depending, I'll be back next week with a covenant breakdown. Most upvoted ticker gets the post.
*EDIT 1\* In a total blowout, $PLAY won. So it's D&B time next week. Post will drop Monday at market open.
submitted by fuzzyblankeet to wallstreetbets [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to MLQuestions [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to learnmachinelearning [link] [comments]

New to deep learning, trying to understand how to approach a network I have in mind

Hey all! I've been fascinated with machine/deep learning for years now, and am finally taking my first steps into this world. I want to take a stab at creating a stock trading AI, and came across this fantastic article that outlines one approach. The goal of the network described in the article is to predict the price on a day-to-day basis, which seems like an obvious starting point. It uses a LSTM network as the generator in a GAN. The first image in the article outlines how the approach is structured.
The thing is, I'm not very interested in predicting the stock price. My ideal system would instead output a "conviction" value for a variety of financial instruments. These would include holding cash, stocks, and options (both calls and puts, likely with a variety of strike prices and time horizons). A higher value would represent a stronger conviction that holding that financial instrument would be more profitable than not. The network would not be optimizing for raw numerical accuracy, but profitability. There would be non-machine learning based logic that translates the conviction values into actions (buy/sell/hold), with the outcome of those actions determining profitability.
An example of the conviction values it might return for a given day are as follows:
If I look at this, it tells me that the network thinks the stock is more likely to go up than not (stock and calls having higher percentages than cash and puts), but that it thinks there's enough of a chance it'll go down that buying some puts to hedge is worth their loss in value if it goes up instead. What to do with this information will depend on each person individually, but let's assume the action logic is pretty basic and allocates the funds proportionally based on the percentages. One note: the percentages don't have to add up to 100%. If it is 100% convinced the stock will go up, the conviction for both stock and calls would be 100%, while cash and puts would be 0%. In that case, with this super naive logic, it would split funds 50/50 between stocks and calls.
That leads me to my question: what would you use as the baseline-truth that the LSTM generator output gets compared to in the discriminator? With stock price it's obviously just the real stock price, but when we're talking about profitability across several financial instruments it's less so. My first thought is to use a 0/1 value based on whether or not holding that instrument through the next day was actually profitable, but it's important to me that the conviction value isn't just a binary YES/NO. I'm not familiar enough with GANs to know if it's possible to have it optimize towards an answer that doesn't necessarily match the baseline-truth it's being discriminated against. My gut reaction based on the little I know tells me it wouldn't be possible. I'm also not familiar enough with deep learning generally to know if another training methodology would be more appropriate in my situation.
How would you approach this?
EDIT: Been mulling this over a bit more and realized that I need to nail down what my ideal end result would be. I said I'd want it to optimize for profit, which means that I would need to calculate the maximum potential profit for each day and use that value as the baseline-truth that the results from the LSTM generator gets compared to. So, we can imagine a day where the stock went up 2%. If going all in on calls would result in $1 more in profit compared to going all in on stock, the maximum potential profit value for that day would be based on going 100% in on calls and 0% in on stocks. As a result, the perfectly optimal conviction values from the LSTM generator would be:
Now, the chance of making a model that predicts/matches this perfectly in a situation where you'd make $1 more going all in on calls is essentially 0. The next best case scenario is the generator acknowledging the fact that it can't predict it perfectly by giving calls a much lower weight and shares a higher weight (the reason being, calls generally lose value every single day you hold them if all else is equal and the price doesn't change). During training, it will run into situations like I described above where there's almost equal profit potential from holding stocks and calls. When it makes the wrong judgement call and says that going all in on calls is the way to go when stocks were actually better, the discrepancy in profit will be higher since the calls actually lost value. Over the training period, it should learn that it needs to be more conservative and allocate more funds to stocks in those situations. In other situations when it's REALLY sure the stock will go up, it will learn that it's safemore profitable to prioritize calls over stock.
Actually, instead of calculating an actual dollar value and using that as the base-line truth, it should be enough to instead choose one financial instrument to have a conviction value of 1 for that day (representing that it's the most profitable instrument), while all the others get a value of 0. This is different to what I said in my original post, which was that I would set the conviction value for each instrument that would produce some profit to 1. In that situation the sum of the convictions could very well be over 100%; whereas, if only one instrument is given a value of 1 in the baseline-truth data, the sum of the conviction values should be close to 100%.
Now that I've written that out, I feel like I have a clearer path forward. If anything I said sounds wrong, please let me know. It's based off of assumptions I'm making about how GANs work, without having any real experience with them.
submitted by EdvardDashD to deeplearning [link] [comments]

Wall Street Week Ahead for the trading week beginning March 9th, 2020

Good Saturday morning to all of you here on wallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week and month ahead.
Here is everything you need to know to get you ready for the trading week beginning March 9th, 2020.

Wall Street braces for more market volatility as wild swings become the ‘new normal’ amid coronavirus - (Source)

The S&P 500 has never behaved like this, but Wall Street strategists say get used to it.
Investors just witnessed the equity benchmark swinging up or down 2% for four days straight in the face of the coronavirus panic.
In the index’s history dating back to 1927, this is the first time the S&P 500 had a week of alternating gains and losses of more than 2% from Monday through Thursday, according to Bespoke Investment Group. Daily swings like this over a two-week period were only seen at the peak of the financial crisis and in 2011 when U.S. sovereign debt got its first-ever downgrade, the firm said.
“The message to all investors is that they should expect this volatility to continue. This should be considered the new normal going forward,” said Mike Loewengart, managing director of investment strategy at E-Trade.
The Dow Jones Industrial Average jumped north of 1,000 points twice in the past week, only to erase the quadruple-digit gains in the subsequent sessions. The coronavirus outbreak kept investors on edge as global cases of the infections surpassed 100,000. It’s also spreading rapidly in the U.S. California has declared a state of emergency, while the number of cases in New York reached 33.
“Uncertainty breeds greater market volatility,” Keith Lerner, SunTrust’s chief market strategist, said in a note. “Much is still unknown about how severe and widespread the coronavirus will become. From a market perspective, what we are seeing is uncomfortable but somewhat typical after shock periods.”

More stimulus?

So far, the actions from global central banks and governments in response to the outbreak haven’t triggered a sustainable rebound.
The Federal Reserve’s first emergency rate cut since the financial crisis did little to calm investor anxiety. President Donald Trump on Friday signed a sweeping spending bill with an$8.3 billion packageto aid prevention efforts to produce a vaccine for the deadly disease, but stocks extended their heavy rout that day.
“The market is recognizing the global authorities are responding to this,” said Tom Essaye, founder of the Sevens Report. “If the market begins to worry they are not doing that sufficiently, then I think we are going to go down ugly. It is helping stocks hold up.”
Essaye said any further stimulus from China and a decent-sized fiscal package from Germany would be positive to the market, but he doesn’t expect the moves to create a huge rebound.
The fed funds future market is now pricing in the possibility of the U.S. central bank cutting by 75 basis points at its March 17-18 meeting.

Where is the bottom?

Many on Wall Street expect the market to fall further before recovering as the health crisis unfolds.
Binky Chadha, Deutsche Bank’s chief equity strategist, sees a bottom for the S&P 500 in the second quarter after stocks falling as much as 20% from their recent peak.
“The magnitude of the selloff in the S&P 500 so far has further to go; and in terms of duration, just two weeks in, it is much too early to declare this episode as being done,” Chadha said in a note. “We do view the impacts on macro and earnings growth as being relatively short-lived and the market eventually looking through them.”
Deutsche Bank maintained its year-end target of 3,250 for the S&P 500, which would represent a 10% gain from here and a flat return for 2020.
Strategists are also urging patience during this heightened volatility, cautioning against panic selling.
“It is during times like these that investors need to maintain a longer-term perspective and stick to their investment process rather than making knee-jerk, binary decisions,” Brian Belski, chief investment strategist at BMO Capital Markets, said in a note.

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

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

Major Indices for this past week:

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

Major Futures Markets as of Friday's close:

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

Economic Calendar for the Week Ahead:

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

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

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

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

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

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

A "Run of the Mill" Drawdown

If you're like us, you've heard a lot of people reference the recent equity declines as a sign that the market is pricing in some sort of Armageddon in the US economy. While comments like that make for great soundbites, a little perspective is in order. Since the S&P 500's high on February 19th, the S&P 500 is down 12.8%. In the chart below, we show the S&P 500's annual maximum drawdown by year going back to 1928. In the entire history of the index, the median maximum drawdown from a YTD high is 13.05%. In other words, this year's decline is actually less than normal. Perhaps due to the fact that we have only seen one larger-than-average drawdown in the last eight years is why this one feels so bad.
The fact that the current decline has only been inline with the historical norm raises a number of questions. For example, if the market has already priced in the worst-case scenario, going out and adding some equity exposure would be a no brainer. However, if we're only in the midst of a 'normal' drawdown in the equity market as the coronavirus outbreak threatens to put the economy into a recession, one could argue that things for the stock market could get worse before they get better, especially when we know that the market can be prone to over-reaction in both directions. The fact is that nobody knows right now how this entire outbreak will play out. If it really is a black swan, the market definitely has further to fall and now would present a great opportunity to sell more equities. However, if it proves to be temporary and after a quarter or two resolves itself and the economy gets back on the path it was on at the start of the year, then the magnitude of the current decline is probably appropriate. As they say, that's what makes a market!
(CLICK HERE FOR THE CHART!)

Long-Term Treasuries Go Haywire

Take a good luck at today's moves in long-term US Treasury yields, because chances are you won't see moves of this magnitude again soon. Let's start with the yield on the 30-year US Treasury. Today's decline of 29 basis points in the yield will go down as the largest one-day decline in the yield on the 30-year since 2009. For some perspective, there have only been 25 other days since 1977 where the yield saw a larger one day decline.
(CLICK HERE FOR THE CHART!)
That doesn't even tell the whole story, though. As shown in the chart below, every other time the yield saw a sharper one-day decline, the actual yield of the 30-year was much higher, and in most other cases it was much, much higher.
(CLICK HERE FOR THE CHART!)
To show this another way, the percentage change in the yield on the 30-year has never been seen before, and it's not even close. Now, before the chart crime police come calling, we realize showing a percentage change of a percentage is not the most accurate representation, but we wanted to show this for illustrative purposes only.
(CLICK HERE FOR THE CHART!)
Finally, with long-term interest rates plummetting we wanted to provide an update on the performance of the Austrian 100-year bond. That's now back at record highs, begging the question, why is the US not flooding the market with long-term debt?
(CLICK HERE FOR THE CHART!)

It Doesn't Get Much Worse Than This For Crude Oil

Crude oil prices are down close to 10% today in what is shaping up to be the worst day for crude oil since late 2014. That's more than five years.
(CLICK HERE FOR THE CHART!)
Today's decline is pretty much a continuation of what has been a one-way trade for the commodity ever since the US drone strike on Iranian general Soleimani. The last time prices were this low was around Christmas 2018.
(CLICK HERE FOR THE CHART!)
With today's decline, crude oil is now off to its worst start to a year in a generation falling 32%. Since 1984, the only other year that was worse was 1986 when the year started out with a decline of 50% through March 6th. If you're looking for a bright spot, in 1986, prices rose 36% over the remainder of the year. The only other year where crude oil kicked off the year with a 30% decline was in 1991 after the first Iraq war. Over the remainder of that year, prices rose a more modest 5%.
(CLICK HERE FOR THE CHART!)

10-Year Treasury Yield Breaks Below 1%

Despite strong market gains on Wednesday, March 4, 2020, the on-the-run 10-year Treasury yield ended the day below 1% for the first time ever and has posted additional declines in real time, sitting at 0.92% intraday as this blog is being written. “The decline in yields has been remarkable,” said LPL Research Senior Market Strategist Ryan Detrick. “The 10-year Treasury yield has dipped below 1%, and today’s declines are likely to make the recent run lower the largest decline of the cycle.”
As shown in LPL Research’s chart of the day, the current decline in the 10-year Treasury yield without a meaningful reversal (defined as at least 0.75%) is approaching the decline seen in 2011 and 2012 and would need about another two months to be the longest decline in length of time. At the same time, no prior decline has lasted forever and a pattern of declines and increases has been normal.
(CLICK HERE FOR THE CHART!)
What are some things that can push the 10-year Treasury yield lower?
  • A shrinking but still sizable yield advantage over other developed market sovereign debt
  • Added stock volatility if downside risks to economic growth from the coronavirus increase
  • A larger potential premium over shorter-term yields if the Federal Reserve aggressively cuts interest rates
What are some things that can push the 10-year Treasury yield higher?
  • A second half economic rebound acting a catalyst for a Treasury sell-off
  • As yields move lower, investors may increasingly seek more attractive sources of income
  • Any dollar weakness could lead to some selling by international investors
  • Longer maturity Treasuries are looking like an increasingly crowded trade, potentially adding energy to any sell-off
On balance, our view remains that the prospect of an economic rebound over the second half points to the potential for interest rates moving higher. At the same time, we still see some advantage in the potential diversification benefits of intermediate maturity high-quality bonds, especially during periods of market stress. We continue to recommend that suitable investors consider keeping a bond portfolio’s sensitivity to changes in interest rates below that of the benchmark Bloomberg Barclays U.S. Aggregate Bond Index by emphasizing short to intermediate maturity bonds, but do not believe it’s time to pile into very short maturities despite the 10-year Treasury yield sitting at historically low levels.

U.S. Jobs Growth Marches On

While stock markets continue to be extremely volatile as they come to terms with how the coronavirus may affect global growth, the U.S. job market has remained remarkably robust. Continued U.S. jobs data resilience in the face of headwinds from the coronavirus outbreak may be a key factor in prolonging the expansion, given how important the strength of the U.S. consumer has been late into this expansion.
The U.S. Department of Labor today reported that U.S. nonfarm payroll data had a strong showing of 273,000 jobs added in February, topping the expectation of every Bloomberg-surveyed economist, with an additional upward revision of 85,000 additional jobs for December 2019 and January 2020. This has brought the current unemployment rate back to its 50-year low of 3.5%. So far, it appears it’s too soon for any effects of the coronavirus to have been felt in the jobs numbers. (Note: The survey takes place in the middle of each month.)
On Wednesday, ADP released its private payroll data (excluding government jobs), which increased by 183,000 in February, also handily beating market expectations. Most of these jobs were added in the service sector, with 44,000 added in the leisure and hospitality sector, and another 31,000 in trade/transportation/utilities. Both of these areas could be at risk of potential cutbacks if consumers start to avoid eating out or other leisure pursuits due to coronavirus fears.
As shown in the LPL Chart of the Day, payrolls remain strong, and any effects of the virus outbreaks most likely would be felt in coming months.
(CLICK HERE FOR THE CHART!)
“February’s jobs report shows the 113th straight month that the U.S. jobs market has grown,” said LPL Financial Senior Market Strategist Ryan Detrick. “That’s an incredible run and highlights how the U.S. consumer has become key to extending the expansion, especially given setbacks to global growth from the coronavirus outbreak.”
While there is bound to be some drag on future jobs data from the coronavirus-related slowdown, we would anticipate that the effects of this may be transitory. We believe economic fundamentals continue to suggest the possibility of a second-half-of-the–year economic rebound.

Down January & Down February: S&P 500 Posts Full-Year Gain Just 43.75% of Time

The combination of a down January and a down February has come about 17 times, including this year, going back to 1950. Rest of the year and full-year performance has taken a rather sizable hit following the previous 16 occurrences. March through December S&P 500 average performance drops to 2.32% compared to 7.69% in all years. Full-year performance is even worse with S&P 500 average turning to a loss of 4.91% compared to an average gain of 9.14% in all years. All hope for 2020 is not lost as seven of the 16 past down January and down February years did go on to log gains over the last 10 months and full year while six enjoyed double-digit gains from March to December.
(CLICK HERE FOR THE CHART!)

Take Caution After Emergency Rate Cut

Today’s big rally was an encouraging sign that the markets are becoming more comfortable with the public health, monetary and political handling of the situation. But the history of these “emergency” or “surprise” rate cuts by the Fed between meetings suggest some caution remains in order.
The table here shows that these surprise cuts between meetings have really only “worked” once in the past 20+ years. In 1998 when the Fed and the plunge protection team acted swiftly and in a coordinated manner to stave off the fallout from the financial crisis caused by the collapse of the Russian ruble and the highly leveraged Long Term Capital Management hedge fund markets responded well. This was not the case during the extended bear markets of 2001-2002 and 2007-2009.
Bottom line: if this is a short-term impact like the 1998 financial crisis the market should recover sooner rather than later. But if the economic impact of coronavirus virus is prolonged, the market is more likely to languish.
(CLICK HERE FOR THE CHART!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $ADBE
  • $DKS
  • $AVGO
  • $THO
  • $ULTA
  • $WORK
  • $DG
  • $SFIX
  • $SOGO
  • $DOCU
  • $INO
  • $CLDR
  • $INSG
  • $SOHU
  • $BTAI
  • $ORCL
  • $HEAR
  • $NVAX
  • $ADDYY
  • $GPS
  • $AKBA
  • $PDD
  • $CYOU
  • $FNV
  • $MTNB
  • $NERV
  • $MTN
  • $BEST
  • $PRTY
  • $NINE
  • $AZUL
  • $UNFI
  • $PRPL
  • $VSLR
  • $KLZE
  • $ZUO
  • $DVAX
  • $EXPR
  • $VRA
  • $AXSM
  • $CDMO
  • $CASY
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 3.9.20 Before Market Open:

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

Monday 3.9.20 After Market Close:

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

Tuesday 3.10.20 Before Market Open:

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

Tuesday 3.10.20 After Market Close:

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

Wednesday 3.11.20 Before Market Open:

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

Wednesday 3.11.20 After Market Close:

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

Thursday 3.12.20 Before Market Open:

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

Thursday 3.12.20 After Market Close:

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

Friday 3.13.20 Before Market Open:

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

Friday 3.13.20 After Market Close:

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

Adobe Inc. $336.77

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $2.23 per share on revenue of $3.04 billion and the Earnings Whisper ® number is $2.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for earnings of approximately $2.23 per share. Consensus estimates are for year-over-year earnings growth of 29.65% with revenue increasing by 16.88%. Short interest has decreased by 38.4% since the company's last earnings release while the stock has drifted higher by 7.2% from its open following the earnings release to be 10.9% above its 200 day moving average of $303.70. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, February 24, 2020 there was some notable buying of 1,109 contracts of the $400.00 call expiring on Friday, March 20, 2020. Option traders are pricing in a 9.3% move on earnings and the stock has averaged a 4.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DICK'S Sporting Goods, Inc. $34.98

DICK'S Sporting Goods, Inc. (DKS) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, March 10, 2020. The consensus earnings estimate is $1.23 per share on revenue of $2.56 billion and the Earnings Whisper ® number is $1.28 per share. Investor sentiment going into the company's earnings release has 57% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 14.95% with revenue increasing by 2.73%. Short interest has decreased by 29.1% since the company's last earnings release while the stock has drifted lower by 20.3% from its open following the earnings release to be 12.0% below its 200 day moving average of $39.75. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 26, 2020 there was some notable buying of 848 contracts of the $39.00 put expiring on Friday, March 20, 2020. Option traders are pricing in a 14.4% move on earnings and the stock has averaged a 7.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Broadcom Limited $269.45

Broadcom Limited (AVGO) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $5.34 per share on revenue of $5.93 billion and the Earnings Whisper ® number is $5.45 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.65% with revenue increasing by 2.44%. Short interest has decreased by 15.6% since the company's last earnings release while the stock has drifted lower by 15.3% from its open following the earnings release to be 7.7% below its 200 day moving average of $291.95. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 25, 2020 there was some notable buying of 1,197 contracts of the $260.00 put expiring on Friday, April 17, 2020. Option traders are pricing in a 11.1% move on earnings and the stock has averaged a 4.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Thor Industries, Inc. $70.04

Thor Industries, Inc. (THO) is confirmed to report earnings at approximately 6:45 AM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.76 per share on revenue of $1.79 billion and the Earnings Whisper ® number is $0.84 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.92% with revenue increasing by 38.70%. Short interest has decreased by 12.9% since the company's last earnings release while the stock has drifted higher by 5.4% from its open following the earnings release to be 12.0% above its 200 day moving average of $62.53. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 6.3% move on earnings and the stock has averaged a 8.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ULTA Beauty $256.58

ULTA Beauty (ULTA) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $3.71 per share on revenue of $2.29 billion and the Earnings Whisper ® number is $3.75 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 2.77% with revenue increasing by 7.78%. Short interest has increased by 8.7% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 9.5% below its 200 day moving average of $283.43. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 15.3% move on earnings and the stock has averaged a 11.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Slack Technologies, Inc. $26.42

Slack Technologies, Inc. (WORK) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, March 12, 2020. The consensus estimate is for a loss of $0.06 per share on revenue of $173.06 million and the Earnings Whisper ® number is ($0.04) per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat The company's guidance was for a loss of $0.07 to $0.06 per share on revenue of $172.00 million to $174.00 million. Short interest has increased by 1.2% since the company's last earnings release while the stock has drifted higher by 19.0% from its open following the earnings release. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 4.3% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Dollar General Corporation $158.38

Dollar General Corporation (DG) is confirmed to report earnings at approximately 6:55 AM ET on Thursday, March 12, 2020. The consensus earnings estimate is $2.02 per share on revenue of $7.15 billion and the Earnings Whisper ® number is $2.05 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.78% with revenue increasing by 7.52%. Short interest has increased by 16.2% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 5.7% above its 200 day moving average of $149.88. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, February 28, 2020 there was some notable buying of 1,013 contracts of the $182.50 call expiring on Friday, March 20, 2020. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 5.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Stitch Fix, Inc. $22.78

Stitch Fix, Inc. (SFIX) is confirmed to report earnings at approximately 4:05 PM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.06 per share on revenue of $452.96 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat The company's guidance was for revenue of $447.00 million to $455.00 million. Consensus estimates are for earnings to decline year-over-year by 50.00% with revenue increasing by 22.33%. Short interest has decreased by 4.6% since the company's last earnings release while the stock has drifted lower by 16.1% from its open following the earnings release to be 5.1% below its 200 day moving average of $24.01. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 19, 2020 there was some notable buying of 4,026 contracts of the $35.00 call expiring on Friday, June 19, 2020. Option traders are pricing in a 28.0% move on earnings and the stock has averaged a 15.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Sogou Inc. $3.85

Sogou Inc. (SOGO) is confirmed to report earnings at approximately 4:00 AM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.09 per share on revenue of $303.08 million and the Earnings Whisper ® number is $0.10 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat The company's guidance was for revenue of $290.00 million to $310.00 million. Consensus estimates are for year-over-year earnings growth of 28.57% with revenue increasing by 1.78%. Short interest has increased by 6.6% since the company's last earnings release while the stock has drifted lower by 27.8% from its open following the earnings release to be 15.7% below its 200 day moving average of $4.57. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 3.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

DocuSign $84.02

DocuSign (DOCU) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $0.05 per share on revenue of $267.44 million and the Earnings Whisper ® number is $0.08 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for revenue of $263.00 million to $267.00 million. Consensus estimates are for year-over-year earnings growth of 600.00% with revenue increasing by 33.90%. Short interest has decreased by 37.7% since the company's last earnings release while the stock has drifted higher by 12.1% from its open following the earnings release to be 31.9% above its 200 day moving average of $63.71. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, March 4, 2020 there was some notable buying of 1,698 contracts of the $87.50 call expiring on Friday, March 20, 2020. Option traders are pricing in a 8.5% move on earnings and the stock has averaged a 10.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

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

Wall Street Week Ahead for the trading week beginning March 9th, 2020

Good Saturday morning 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 and month ahead.
Here is everything you need to know to get you ready for the trading week beginning March 9th, 2020.

Wall Street braces for more market volatility as wild swings become the ‘new normal’ amid coronavirus - (Source)

The S&P 500 has never behaved like this, but Wall Street strategists say get used to it.
Investors just witnessed the equity benchmark swinging up or down 2% for four days straight in the face of the coronavirus panic.
In the index’s history dating back to 1927, this is the first time the S&P 500 had a week of alternating gains and losses of more than 2% from Monday through Thursday, according to Bespoke Investment Group. Daily swings like this over a two-week period were only seen at the peak of the financial crisis and in 2011 when U.S. sovereign debt got its first-ever downgrade, the firm said.
“The message to all investors is that they should expect this volatility to continue. This should be considered the new normal going forward,” said Mike Loewengart, managing director of investment strategy at E-Trade.
The Dow Jones Industrial Average jumped north of 1,000 points twice in the past week, only to erase the quadruple-digit gains in the subsequent sessions. The coronavirus outbreak kept investors on edge as global cases of the infections surpassed 100,000. It’s also spreading rapidly in the U.S. California has declared a state of emergency, while the number of cases in New York reached 33.
“Uncertainty breeds greater market volatility,” Keith Lerner, SunTrust’s chief market strategist, said in a note. “Much is still unknown about how severe and widespread the coronavirus will become. From a market perspective, what we are seeing is uncomfortable but somewhat typical after shock periods.”

More stimulus?

So far, the actions from global central banks and governments in response to the outbreak haven’t triggered a sustainable rebound.
The Federal Reserve’s first emergency rate cut since the financial crisis did little to calm investor anxiety. President Donald Trump on Friday signed a sweeping spending bill with an$8.3 billion packageto aid prevention efforts to produce a vaccine for the deadly disease, but stocks extended their heavy rout that day.
“The market is recognizing the global authorities are responding to this,” said Tom Essaye, founder of the Sevens Report. “If the market begins to worry they are not doing that sufficiently, then I think we are going to go down ugly. It is helping stocks hold up.”
Essaye said any further stimulus from China and a decent-sized fiscal package from Germany would be positive to the market, but he doesn’t expect the moves to create a huge rebound.
The fed funds future market is now pricing in the possibility of the U.S. central bank cutting by 75 basis points at its March 17-18 meeting.

Where is the bottom?

Many on Wall Street expect the market to fall further before recovering as the health crisis unfolds.
Binky Chadha, Deutsche Bank’s chief equity strategist, sees a bottom for the S&P 500 in the second quarter after stocks falling as much as 20% from their recent peak.
“The magnitude of the selloff in the S&P 500 so far has further to go; and in terms of duration, just two weeks in, it is much too early to declare this episode as being done,” Chadha said in a note. “We do view the impacts on macro and earnings growth as being relatively short-lived and the market eventually looking through them.”
Deutsche Bank maintained its year-end target of 3,250 for the S&P 500, which would represent a 10% gain from here and a flat return for 2020.
Strategists are also urging patience during this heightened volatility, cautioning against panic selling.
“It is during times like these that investors need to maintain a longer-term perspective and stick to their investment process rather than making knee-jerk, binary decisions,” Brian Belski, chief investment strategist at BMO Capital Markets, said in a note.

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

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

Major Indices for this past week:

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

Major Futures Markets as of Friday's close:

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

Economic Calendar for the Week Ahead:

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

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

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

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

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

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

A "Run of the Mill" Drawdown

If you're like us, you've heard a lot of people reference the recent equity declines as a sign that the market is pricing in some sort of Armageddon in the US economy. While comments like that make for great soundbites, a little perspective is in order. Since the S&P 500's high on February 19th, the S&P 500 is down 12.8%. In the chart below, we show the S&P 500's annual maximum drawdown by year going back to 1928. In the entire history of the index, the median maximum drawdown from a YTD high is 13.05%. In other words, this year's decline is actually less than normal. Perhaps due to the fact that we have only seen one larger-than-average drawdown in the last eight years is why this one feels so bad.
The fact that the current decline has only been inline with the historical norm raises a number of questions. For example, if the market has already priced in the worst-case scenario, going out and adding some equity exposure would be a no brainer. However, if we're only in the midst of a 'normal' drawdown in the equity market as the coronavirus outbreak threatens to put the economy into a recession, one could argue that things for the stock market could get worse before they get better, especially when we know that the market can be prone to over-reaction in both directions. The fact is that nobody knows right now how this entire outbreak will play out. If it really is a black swan, the market definitely has further to fall and now would present a great opportunity to sell more equities. However, if it proves to be temporary and after a quarter or two resolves itself and the economy gets back on the path it was on at the start of the year, then the magnitude of the current decline is probably appropriate. As they say, that's what makes a market!
(CLICK HERE FOR THE CHART!)

Long-Term Treasuries Go Haywire

Take a good luck at today's moves in long-term US Treasury yields, because chances are you won't see moves of this magnitude again soon. Let's start with the yield on the 30-year US Treasury. Today's decline of 29 basis points in the yield will go down as the largest one-day decline in the yield on the 30-year since 2009. For some perspective, there have only been 25 other days since 1977 where the yield saw a larger one day decline.
(CLICK HERE FOR THE CHART!)
That doesn't even tell the whole story, though. As shown in the chart below, every other time the yield saw a sharper one-day decline, the actual yield of the 30-year was much higher, and in most other cases it was much, much higher.
(CLICK HERE FOR THE CHART!)
To show this another way, the percentage change in the yield on the 30-year has never been seen before, and it's not even close. Now, before the chart crime police come calling, we realize showing a percentage change of a percentage is not the most accurate representation, but we wanted to show this for illustrative purposes only.
(CLICK HERE FOR THE CHART!)
Finally, with long-term interest rates plummetting we wanted to provide an update on the performance of the Austrian 100-year bond. That's now back at record highs, begging the question, why is the US not flooding the market with long-term debt?
(CLICK HERE FOR THE CHART!)

It Doesn't Get Much Worse Than This For Crude Oil

Crude oil prices are down close to 10% today in what is shaping up to be the worst day for crude oil since late 2014. That's more than five years.
(CLICK HERE FOR THE CHART!)
Today's decline is pretty much a continuation of what has been a one-way trade for the commodity ever since the US drone strike on Iranian general Soleimani. The last time prices were this low was around Christmas 2018.
(CLICK HERE FOR THE CHART!)
With today's decline, crude oil is now off to its worst start to a year in a generation falling 32%. Since 1984, the only other year that was worse was 1986 when the year started out with a decline of 50% through March 6th. If you're looking for a bright spot, in 1986, prices rose 36% over the remainder of the year. The only other year where crude oil kicked off the year with a 30% decline was in 1991 after the first Iraq war. Over the remainder of that year, prices rose a more modest 5%.
(CLICK HERE FOR THE CHART!)

10-Year Treasury Yield Breaks Below 1%

Despite strong market gains on Wednesday, March 4, 2020, the on-the-run 10-year Treasury yield ended the day below 1% for the first time ever and has posted additional declines in real time, sitting at 0.92% intraday as this blog is being written. “The decline in yields has been remarkable,” said LPL Research Senior Market Strategist Ryan Detrick. “The 10-year Treasury yield has dipped below 1%, and today’s declines are likely to make the recent run lower the largest decline of the cycle.”
As shown in LPL Research’s chart of the day, the current decline in the 10-year Treasury yield without a meaningful reversal (defined as at least 0.75%) is approaching the decline seen in 2011 and 2012 and would need about another two months to be the longest decline in length of time. At the same time, no prior decline has lasted forever and a pattern of declines and increases has been normal.
(CLICK HERE FOR THE CHART!)
What are some things that can push the 10-year Treasury yield lower?
  • A shrinking but still sizable yield advantage over other developed market sovereign debt
  • Added stock volatility if downside risks to economic growth from the coronavirus increase
  • A larger potential premium over shorter-term yields if the Federal Reserve aggressively cuts interest rates
What are some things that can push the 10-year Treasury yield higher?
  • A second half economic rebound acting a catalyst for a Treasury sell-off
  • As yields move lower, investors may increasingly seek more attractive sources of income
  • Any dollar weakness could lead to some selling by international investors
  • Longer maturity Treasuries are looking like an increasingly crowded trade, potentially adding energy to any sell-off
On balance, our view remains that the prospect of an economic rebound over the second half points to the potential for interest rates moving higher. At the same time, we still see some advantage in the potential diversification benefits of intermediate maturity high-quality bonds, especially during periods of market stress. We continue to recommend that suitable investors consider keeping a bond portfolio’s sensitivity to changes in interest rates below that of the benchmark Bloomberg Barclays U.S. Aggregate Bond Index by emphasizing short to intermediate maturity bonds, but do not believe it’s time to pile into very short maturities despite the 10-year Treasury yield sitting at historically low levels.

U.S. Jobs Growth Marches On

While stock markets continue to be extremely volatile as they come to terms with how the coronavirus may affect global growth, the U.S. job market has remained remarkably robust. Continued U.S. jobs data resilience in the face of headwinds from the coronavirus outbreak may be a key factor in prolonging the expansion, given how important the strength of the U.S. consumer has been late into this expansion.
The U.S. Department of Labor today reported that U.S. nonfarm payroll data had a strong showing of 273,000 jobs added in February, topping the expectation of every Bloomberg-surveyed economist, with an additional upward revision of 85,000 additional jobs for December 2019 and January 2020. This has brought the current unemployment rate back to its 50-year low of 3.5%. So far, it appears it’s too soon for any effects of the coronavirus to have been felt in the jobs numbers. (Note: The survey takes place in the middle of each month.)
On Wednesday, ADP released its private payroll data (excluding government jobs), which increased by 183,000 in February, also handily beating market expectations. Most of these jobs were added in the service sector, with 44,000 added in the leisure and hospitality sector, and another 31,000 in trade/transportation/utilities. Both of these areas could be at risk of potential cutbacks if consumers start to avoid eating out or other leisure pursuits due to coronavirus fears.
As shown in the LPL Chart of the Day, payrolls remain strong, and any effects of the virus outbreaks most likely would be felt in coming months.
(CLICK HERE FOR THE CHART!)
“February’s jobs report shows the 113th straight month that the U.S. jobs market has grown,” said LPL Financial Senior Market Strategist Ryan Detrick. “That’s an incredible run and highlights how the U.S. consumer has become key to extending the expansion, especially given setbacks to global growth from the coronavirus outbreak.”
While there is bound to be some drag on future jobs data from the coronavirus-related slowdown, we would anticipate that the effects of this may be transitory. We believe economic fundamentals continue to suggest the possibility of a second-half-of-the–year economic rebound.

Down January & Down February: S&P 500 Posts Full-Year Gain Just 43.75% of Time

The combination of a down January and a down February has come about 17 times, including this year, going back to 1950. Rest of the year and full-year performance has taken a rather sizable hit following the previous 16 occurrences. March through December S&P 500 average performance drops to 2.32% compared to 7.69% in all years. Full-year performance is even worse with S&P 500 average turning to a loss of 4.91% compared to an average gain of 9.14% in all years. All hope for 2020 is not lost as seven of the 16 past down January and down February years did go on to log gains over the last 10 months and full year while six enjoyed double-digit gains from March to December.
(CLICK HERE FOR THE CHART!)

Take Caution After Emergency Rate Cut

Today’s big rally was an encouraging sign that the markets are becoming more comfortable with the public health, monetary and political handling of the situation. But the history of these “emergency” or “surprise” rate cuts by the Fed between meetings suggest some caution remains in order.
The table here shows that these surprise cuts between meetings have really only “worked” once in the past 20+ years. In 1998 when the Fed and the plunge protection team acted swiftly and in a coordinated manner to stave off the fallout from the financial crisis caused by the collapse of the Russian ruble and the highly leveraged Long Term Capital Management hedge fund markets responded well. This was not the case during the extended bear markets of 2001-2002 and 2007-2009.
Bottom line: if this is a short-term impact like the 1998 financial crisis the market should recover sooner rather than later. But if the economic impact of coronavirus virus is prolonged, the market is more likely to languish.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending March 6th, 2020

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 3.8.20

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $ADBE
  • $DKS
  • $AVGO
  • $THO
  • $ULTA
  • $WORK
  • $DG
  • $SFIX
  • $SOGO
  • $DOCU
  • $INO
  • $CLDR
  • $INSG
  • $SOHU
  • $BTAI
  • $ORCL
  • $HEAR
  • $NVAX
  • $ADDYY
  • $GPS
  • $AKBA
  • $PDD
  • $CYOU
  • $FNV
  • $MTNB
  • $NERV
  • $MTN
  • $BEST
  • $PRTY
  • $NINE
  • $AZUL
  • $UNFI
  • $PRPL
  • $VSLR
  • $KLZE
  • $ZUO
  • $DVAX
  • $EXPR
  • $VRA
  • $AXSM
  • $CDMO
  • $CASY
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 3.9.20 Before Market Open:

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

Monday 3.9.20 After Market Close:

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

Tuesday 3.10.20 Before Market Open:

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

Tuesday 3.10.20 After Market Close:

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

Wednesday 3.11.20 Before Market Open:

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

Wednesday 3.11.20 After Market Close:

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

Thursday 3.12.20 Before Market Open:

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

Thursday 3.12.20 After Market Close:

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

Friday 3.13.20 Before Market Open:

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

Friday 3.13.20 After Market Close:

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

Adobe Inc. $336.77

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $2.23 per share on revenue of $3.04 billion and the Earnings Whisper ® number is $2.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for earnings of approximately $2.23 per share. Consensus estimates are for year-over-year earnings growth of 29.65% with revenue increasing by 16.88%. Short interest has decreased by 38.4% since the company's last earnings release while the stock has drifted higher by 7.2% from its open following the earnings release to be 10.9% above its 200 day moving average of $303.70. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, February 24, 2020 there was some notable buying of 1,109 contracts of the $400.00 call expiring on Friday, March 20, 2020. Option traders are pricing in a 9.3% move on earnings and the stock has averaged a 4.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DICK'S Sporting Goods, Inc. $34.98

DICK'S Sporting Goods, Inc. (DKS) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, March 10, 2020. The consensus earnings estimate is $1.23 per share on revenue of $2.56 billion and the Earnings Whisper ® number is $1.28 per share. Investor sentiment going into the company's earnings release has 57% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 14.95% with revenue increasing by 2.73%. Short interest has decreased by 29.1% since the company's last earnings release while the stock has drifted lower by 20.3% from its open following the earnings release to be 12.0% below its 200 day moving average of $39.75. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 26, 2020 there was some notable buying of 848 contracts of the $39.00 put expiring on Friday, March 20, 2020. Option traders are pricing in a 14.4% move on earnings and the stock has averaged a 7.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Broadcom Limited $269.45

Broadcom Limited (AVGO) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $5.34 per share on revenue of $5.93 billion and the Earnings Whisper ® number is $5.45 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.65% with revenue increasing by 2.44%. Short interest has decreased by 15.6% since the company's last earnings release while the stock has drifted lower by 15.3% from its open following the earnings release to be 7.7% below its 200 day moving average of $291.95. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 25, 2020 there was some notable buying of 1,197 contracts of the $260.00 put expiring on Friday, April 17, 2020. Option traders are pricing in a 11.1% move on earnings and the stock has averaged a 4.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Thor Industries, Inc. $70.04

Thor Industries, Inc. (THO) is confirmed to report earnings at approximately 6:45 AM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.76 per share on revenue of $1.79 billion and the Earnings Whisper ® number is $0.84 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.92% with revenue increasing by 38.70%. Short interest has decreased by 12.9% since the company's last earnings release while the stock has drifted higher by 5.4% from its open following the earnings release to be 12.0% above its 200 day moving average of $62.53. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 6.3% move on earnings and the stock has averaged a 8.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ULTA Beauty $256.58

ULTA Beauty (ULTA) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $3.71 per share on revenue of $2.29 billion and the Earnings Whisper ® number is $3.75 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 2.77% with revenue increasing by 7.78%. Short interest has increased by 8.7% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 9.5% below its 200 day moving average of $283.43. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 15.3% move on earnings and the stock has averaged a 11.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Slack Technologies, Inc. $26.42

Slack Technologies, Inc. (WORK) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, March 12, 2020. The consensus estimate is for a loss of $0.06 per share on revenue of $173.06 million and the Earnings Whisper ® number is ($0.04) per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat The company's guidance was for a loss of $0.07 to $0.06 per share on revenue of $172.00 million to $174.00 million. Short interest has increased by 1.2% since the company's last earnings release while the stock has drifted higher by 19.0% from its open following the earnings release. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 4.3% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Dollar General Corporation $158.38

Dollar General Corporation (DG) is confirmed to report earnings at approximately 6:55 AM ET on Thursday, March 12, 2020. The consensus earnings estimate is $2.02 per share on revenue of $7.15 billion and the Earnings Whisper ® number is $2.05 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.78% with revenue increasing by 7.52%. Short interest has increased by 16.2% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 5.7% above its 200 day moving average of $149.88. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, February 28, 2020 there was some notable buying of 1,013 contracts of the $182.50 call expiring on Friday, March 20, 2020. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 5.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Stitch Fix, Inc. $22.78

Stitch Fix, Inc. (SFIX) is confirmed to report earnings at approximately 4:05 PM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.06 per share on revenue of $452.96 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat The company's guidance was for revenue of $447.00 million to $455.00 million. Consensus estimates are for earnings to decline year-over-year by 50.00% with revenue increasing by 22.33%. Short interest has decreased by 4.6% since the company's last earnings release while the stock has drifted lower by 16.1% from its open following the earnings release to be 5.1% below its 200 day moving average of $24.01. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 19, 2020 there was some notable buying of 4,026 contracts of the $35.00 call expiring on Friday, June 19, 2020. Option traders are pricing in a 28.0% move on earnings and the stock has averaged a 15.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Sogou Inc. $3.85

Sogou Inc. (SOGO) is confirmed to report earnings at approximately 4:00 AM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.09 per share on revenue of $303.08 million and the Earnings Whisper ® number is $0.10 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat The company's guidance was for revenue of $290.00 million to $310.00 million. Consensus estimates are for year-over-year earnings growth of 28.57% with revenue increasing by 1.78%. Short interest has increased by 6.6% since the company's last earnings release while the stock has drifted lower by 27.8% from its open following the earnings release to be 15.7% below its 200 day moving average of $4.57. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 3.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

DocuSign $84.02

DocuSign (DOCU) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $0.05 per share on revenue of $267.44 million and the Earnings Whisper ® number is $0.08 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for revenue of $263.00 million to $267.00 million. Consensus estimates are for year-over-year earnings growth of 600.00% with revenue increasing by 33.90%. Short interest has decreased by 37.7% since the company's last earnings release while the stock has drifted higher by 12.1% from its open following the earnings release to be 31.9% above its 200 day moving average of $63.71. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, March 4, 2020 there was some notable buying of 1,698 contracts of the $87.50 call expiring on Friday, March 20, 2020. Option traders are pricing in a 8.5% move on earnings and the stock has averaged a 10.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

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

Wall Street Week Ahead for the trading week beginning March 9th, 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 and month ahead.
Here is everything you need to know to get you ready for the trading week beginning March 9th, 2020.

Wall Street braces for more market volatility as wild swings become the ‘new normal’ amid coronavirus - (Source)

The S&P 500 has never behaved like this, but Wall Street strategists say get used to it.
Investors just witnessed the equity benchmark swinging up or down 2% for four days straight in the face of the coronavirus panic.
In the index’s history dating back to 1927, this is the first time the S&P 500 had a week of alternating gains and losses of more than 2% from Monday through Thursday, according to Bespoke Investment Group. Daily swings like this over a two-week period were only seen at the peak of the financial crisis and in 2011 when U.S. sovereign debt got its first-ever downgrade, the firm said.
“The message to all investors is that they should expect this volatility to continue. This should be considered the new normal going forward,” said Mike Loewengart, managing director of investment strategy at E-Trade.
The Dow Jones Industrial Average jumped north of 1,000 points twice in the past week, only to erase the quadruple-digit gains in the subsequent sessions. The coronavirus outbreak kept investors on edge as global cases of the infections surpassed 100,000. It’s also spreading rapidly in the U.S. California has declared a state of emergency, while the number of cases in New York reached 33.
“Uncertainty breeds greater market volatility,” Keith Lerner, SunTrust’s chief market strategist, said in a note. “Much is still unknown about how severe and widespread the coronavirus will become. From a market perspective, what we are seeing is uncomfortable but somewhat typical after shock periods.”

More stimulus?

So far, the actions from global central banks and governments in response to the outbreak haven’t triggered a sustainable rebound.
The Federal Reserve’s first emergency rate cut since the financial crisis did little to calm investor anxiety. President Donald Trump on Friday signed a sweeping spending bill with an$8.3 billion packageto aid prevention efforts to produce a vaccine for the deadly disease, but stocks extended their heavy rout that day.
“The market is recognizing the global authorities are responding to this,” said Tom Essaye, founder of the Sevens Report. “If the market begins to worry they are not doing that sufficiently, then I think we are going to go down ugly. It is helping stocks hold up.”
Essaye said any further stimulus from China and a decent-sized fiscal package from Germany would be positive to the market, but he doesn’t expect the moves to create a huge rebound.
The fed funds future market is now pricing in the possibility of the U.S. central bank cutting by 75 basis points at its March 17-18 meeting.

Where is the bottom?

Many on Wall Street expect the market to fall further before recovering as the health crisis unfolds.
Binky Chadha, Deutsche Bank’s chief equity strategist, sees a bottom for the S&P 500 in the second quarter after stocks falling as much as 20% from their recent peak.
“The magnitude of the selloff in the S&P 500 so far has further to go; and in terms of duration, just two weeks in, it is much too early to declare this episode as being done,” Chadha said in a note. “We do view the impacts on macro and earnings growth as being relatively short-lived and the market eventually looking through them.”
Deutsche Bank maintained its year-end target of 3,250 for the S&P 500, which would represent a 10% gain from here and a flat return for 2020.
Strategists are also urging patience during this heightened volatility, cautioning against panic selling.
“It is during times like these that investors need to maintain a longer-term perspective and stick to their investment process rather than making knee-jerk, binary decisions,” Brian Belski, chief investment strategist at BMO Capital Markets, said in a note.

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

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

Major Indices for this past week:

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

Major Futures Markets as of Friday's close:

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

Economic Calendar for the Week Ahead:

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

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

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

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

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

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

A "Run of the Mill" Drawdown

If you're like us, you've heard a lot of people reference the recent equity declines as a sign that the market is pricing in some sort of Armageddon in the US economy. While comments like that make for great soundbites, a little perspective is in order. Since the S&P 500's high on February 19th, the S&P 500 is down 12.8%. In the chart below, we show the S&P 500's annual maximum drawdown by year going back to 1928. In the entire history of the index, the median maximum drawdown from a YTD high is 13.05%. In other words, this year's decline is actually less than normal. Perhaps due to the fact that we have only seen one larger-than-average drawdown in the last eight years is why this one feels so bad.
The fact that the current decline has only been inline with the historical norm raises a number of questions. For example, if the market has already priced in the worst-case scenario, going out and adding some equity exposure would be a no brainer. However, if we're only in the midst of a 'normal' drawdown in the equity market as the coronavirus outbreak threatens to put the economy into a recession, one could argue that things for the stock market could get worse before they get better, especially when we know that the market can be prone to over-reaction in both directions. The fact is that nobody knows right now how this entire outbreak will play out. If it really is a black swan, the market definitely has further to fall and now would present a great opportunity to sell more equities. However, if it proves to be temporary and after a quarter or two resolves itself and the economy gets back on the path it was on at the start of the year, then the magnitude of the current decline is probably appropriate. As they say, that's what makes a market!
(CLICK HERE FOR THE CHART!)

Long-Term Treasuries Go Haywire

Take a good luck at today's moves in long-term US Treasury yields, because chances are you won't see moves of this magnitude again soon. Let's start with the yield on the 30-year US Treasury. Today's decline of 29 basis points in the yield will go down as the largest one-day decline in the yield on the 30-year since 2009. For some perspective, there have only been 25 other days since 1977 where the yield saw a larger one day decline.
(CLICK HERE FOR THE CHART!)
That doesn't even tell the whole story, though. As shown in the chart below, every other time the yield saw a sharper one-day decline, the actual yield of the 30-year was much higher, and in most other cases it was much, much higher.
(CLICK HERE FOR THE CHART!)
To show this another way, the percentage change in the yield on the 30-year has never been seen before, and it's not even close. Now, before the chart crime police come calling, we realize showing a percentage change of a percentage is not the most accurate representation, but we wanted to show this for illustrative purposes only.
(CLICK HERE FOR THE CHART!)
Finally, with long-term interest rates plummetting we wanted to provide an update on the performance of the Austrian 100-year bond. That's now back at record highs, begging the question, why is the US not flooding the market with long-term debt?
(CLICK HERE FOR THE CHART!)

It Doesn't Get Much Worse Than This For Crude Oil

Crude oil prices are down close to 10% today in what is shaping up to be the worst day for crude oil since late 2014. That's more than five years.
(CLICK HERE FOR THE CHART!)
Today's decline is pretty much a continuation of what has been a one-way trade for the commodity ever since the US drone strike on Iranian general Soleimani. The last time prices were this low was around Christmas 2018.
(CLICK HERE FOR THE CHART!)
With today's decline, crude oil is now off to its worst start to a year in a generation falling 32%. Since 1984, the only other year that was worse was 1986 when the year started out with a decline of 50% through March 6th. If you're looking for a bright spot, in 1986, prices rose 36% over the remainder of the year. The only other year where crude oil kicked off the year with a 30% decline was in 1991 after the first Iraq war. Over the remainder of that year, prices rose a more modest 5%.
(CLICK HERE FOR THE CHART!)

10-Year Treasury Yield Breaks Below 1%

Despite strong market gains on Wednesday, March 4, 2020, the on-the-run 10-year Treasury yield ended the day below 1% for the first time ever and has posted additional declines in real time, sitting at 0.92% intraday as this blog is being written. “The decline in yields has been remarkable,” said LPL Research Senior Market Strategist Ryan Detrick. “The 10-year Treasury yield has dipped below 1%, and today’s declines are likely to make the recent run lower the largest decline of the cycle.”
As shown in LPL Research’s chart of the day, the current decline in the 10-year Treasury yield without a meaningful reversal (defined as at least 0.75%) is approaching the decline seen in 2011 and 2012 and would need about another two months to be the longest decline in length of time. At the same time, no prior decline has lasted forever and a pattern of declines and increases has been normal.
(CLICK HERE FOR THE CHART!)
What are some things that can push the 10-year Treasury yield lower?
  • A shrinking but still sizable yield advantage over other developed market sovereign debt
  • Added stock volatility if downside risks to economic growth from the coronavirus increase
  • A larger potential premium over shorter-term yields if the Federal Reserve aggressively cuts interest rates
What are some things that can push the 10-year Treasury yield higher?
  • A second half economic rebound acting a catalyst for a Treasury sell-off
  • As yields move lower, investors may increasingly seek more attractive sources of income
  • Any dollar weakness could lead to some selling by international investors
  • Longer maturity Treasuries are looking like an increasingly crowded trade, potentially adding energy to any sell-off
On balance, our view remains that the prospect of an economic rebound over the second half points to the potential for interest rates moving higher. At the same time, we still see some advantage in the potential diversification benefits of intermediate maturity high-quality bonds, especially during periods of market stress. We continue to recommend that suitable investors consider keeping a bond portfolio’s sensitivity to changes in interest rates below that of the benchmark Bloomberg Barclays U.S. Aggregate Bond Index by emphasizing short to intermediate maturity bonds, but do not believe it’s time to pile into very short maturities despite the 10-year Treasury yield sitting at historically low levels.

U.S. Jobs Growth Marches On

While stock markets continue to be extremely volatile as they come to terms with how the coronavirus may affect global growth, the U.S. job market has remained remarkably robust. Continued U.S. jobs data resilience in the face of headwinds from the coronavirus outbreak may be a key factor in prolonging the expansion, given how important the strength of the U.S. consumer has been late into this expansion.
The U.S. Department of Labor today reported that U.S. nonfarm payroll data had a strong showing of 273,000 jobs added in February, topping the expectation of every Bloomberg-surveyed economist, with an additional upward revision of 85,000 additional jobs for December 2019 and January 2020. This has brought the current unemployment rate back to its 50-year low of 3.5%. So far, it appears it’s too soon for any effects of the coronavirus to have been felt in the jobs numbers. (Note: The survey takes place in the middle of each month.)
On Wednesday, ADP released its private payroll data (excluding government jobs), which increased by 183,000 in February, also handily beating market expectations. Most of these jobs were added in the service sector, with 44,000 added in the leisure and hospitality sector, and another 31,000 in trade/transportation/utilities. Both of these areas could be at risk of potential cutbacks if consumers start to avoid eating out or other leisure pursuits due to coronavirus fears.
As shown in the LPL Chart of the Day, payrolls remain strong, and any effects of the virus outbreaks most likely would be felt in coming months.
(CLICK HERE FOR THE CHART!)
“February’s jobs report shows the 113th straight month that the U.S. jobs market has grown,” said LPL Financial Senior Market Strategist Ryan Detrick. “That’s an incredible run and highlights how the U.S. consumer has become key to extending the expansion, especially given setbacks to global growth from the coronavirus outbreak.”
While there is bound to be some drag on future jobs data from the coronavirus-related slowdown, we would anticipate that the effects of this may be transitory. We believe economic fundamentals continue to suggest the possibility of a second-half-of-the–year economic rebound.

Down January & Down February: S&P 500 Posts Full-Year Gain Just 43.75% of Time

The combination of a down January and a down February has come about 17 times, including this year, going back to 1950. Rest of the year and full-year performance has taken a rather sizable hit following the previous 16 occurrences. March through December S&P 500 average performance drops to 2.32% compared to 7.69% in all years. Full-year performance is even worse with S&P 500 average turning to a loss of 4.91% compared to an average gain of 9.14% in all years. All hope for 2020 is not lost as seven of the 16 past down January and down February years did go on to log gains over the last 10 months and full year while six enjoyed double-digit gains from March to December.
(CLICK HERE FOR THE CHART!)

Take Caution After Emergency Rate Cut

Today’s big rally was an encouraging sign that the markets are becoming more comfortable with the public health, monetary and political handling of the situation. But the history of these “emergency” or “surprise” rate cuts by the Fed between meetings suggest some caution remains in order.
The table here shows that these surprise cuts between meetings have really only “worked” once in the past 20+ years. In 1998 when the Fed and the plunge protection team acted swiftly and in a coordinated manner to stave off the fallout from the financial crisis caused by the collapse of the Russian ruble and the highly leveraged Long Term Capital Management hedge fund markets responded well. This was not the case during the extended bear markets of 2001-2002 and 2007-2009.
Bottom line: if this is a short-term impact like the 1998 financial crisis the market should recover sooner rather than later. But if the economic impact of coronavirus virus is prolonged, the market is more likely to languish.
(CLICK HERE FOR THE CHART!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $ADBE
  • $DKS
  • $AVGO
  • $THO
  • $ULTA
  • $WORK
  • $DG
  • $SFIX
  • $SOGO
  • $DOCU
  • $INO
  • $CLDR
  • $INSG
  • $SOHU
  • $BTAI
  • $ORCL
  • $HEAR
  • $NVAX
  • $ADDYY
  • $GPS
  • $AKBA
  • $PDD
  • $CYOU
  • $FNV
  • $MTNB
  • $NERV
  • $MTN
  • $BEST
  • $PRTY
  • $NINE
  • $AZUL
  • $UNFI
  • $PRPL
  • $VSLR
  • $KLZE
  • $ZUO
  • $DVAX
  • $EXPR
  • $VRA
  • $AXSM
  • $CDMO
  • $CASY
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 3.9.20 Before Market Open:

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

Monday 3.9.20 After Market Close:

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

Tuesday 3.10.20 Before Market Open:

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

Tuesday 3.10.20 After Market Close:

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

Wednesday 3.11.20 Before Market Open:

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

Wednesday 3.11.20 After Market Close:

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

Thursday 3.12.20 Before Market Open:

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

Thursday 3.12.20 After Market Close:

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

Friday 3.13.20 Before Market Open:

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

Friday 3.13.20 After Market Close:

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

Adobe Inc. $336.77

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $2.23 per share on revenue of $3.04 billion and the Earnings Whisper ® number is $2.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for earnings of approximately $2.23 per share. Consensus estimates are for year-over-year earnings growth of 29.65% with revenue increasing by 16.88%. Short interest has decreased by 38.4% since the company's last earnings release while the stock has drifted higher by 7.2% from its open following the earnings release to be 10.9% above its 200 day moving average of $303.70. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, February 24, 2020 there was some notable buying of 1,109 contracts of the $400.00 call expiring on Friday, March 20, 2020. Option traders are pricing in a 9.3% move on earnings and the stock has averaged a 4.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DICK'S Sporting Goods, Inc. $34.98

DICK'S Sporting Goods, Inc. (DKS) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, March 10, 2020. The consensus earnings estimate is $1.23 per share on revenue of $2.56 billion and the Earnings Whisper ® number is $1.28 per share. Investor sentiment going into the company's earnings release has 57% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 14.95% with revenue increasing by 2.73%. Short interest has decreased by 29.1% since the company's last earnings release while the stock has drifted lower by 20.3% from its open following the earnings release to be 12.0% below its 200 day moving average of $39.75. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 26, 2020 there was some notable buying of 848 contracts of the $39.00 put expiring on Friday, March 20, 2020. Option traders are pricing in a 14.4% move on earnings and the stock has averaged a 7.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Broadcom Limited $269.45

Broadcom Limited (AVGO) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $5.34 per share on revenue of $5.93 billion and the Earnings Whisper ® number is $5.45 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.65% with revenue increasing by 2.44%. Short interest has decreased by 15.6% since the company's last earnings release while the stock has drifted lower by 15.3% from its open following the earnings release to be 7.7% below its 200 day moving average of $291.95. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, February 25, 2020 there was some notable buying of 1,197 contracts of the $260.00 put expiring on Friday, April 17, 2020. Option traders are pricing in a 11.1% move on earnings and the stock has averaged a 4.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Thor Industries, Inc. $70.04

Thor Industries, Inc. (THO) is confirmed to report earnings at approximately 6:45 AM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.76 per share on revenue of $1.79 billion and the Earnings Whisper ® number is $0.84 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.92% with revenue increasing by 38.70%. Short interest has decreased by 12.9% since the company's last earnings release while the stock has drifted higher by 5.4% from its open following the earnings release to be 12.0% above its 200 day moving average of $62.53. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 6.3% move on earnings and the stock has averaged a 8.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ULTA Beauty $256.58

ULTA Beauty (ULTA) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $3.71 per share on revenue of $2.29 billion and the Earnings Whisper ® number is $3.75 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 2.77% with revenue increasing by 7.78%. Short interest has increased by 8.7% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 9.5% below its 200 day moving average of $283.43. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 15.3% move on earnings and the stock has averaged a 11.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Slack Technologies, Inc. $26.42

Slack Technologies, Inc. (WORK) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, March 12, 2020. The consensus estimate is for a loss of $0.06 per share on revenue of $173.06 million and the Earnings Whisper ® number is ($0.04) per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat The company's guidance was for a loss of $0.07 to $0.06 per share on revenue of $172.00 million to $174.00 million. Short interest has increased by 1.2% since the company's last earnings release while the stock has drifted higher by 19.0% from its open following the earnings release. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 4.3% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Dollar General Corporation $158.38

Dollar General Corporation (DG) is confirmed to report earnings at approximately 6:55 AM ET on Thursday, March 12, 2020. The consensus earnings estimate is $2.02 per share on revenue of $7.15 billion and the Earnings Whisper ® number is $2.05 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.78% with revenue increasing by 7.52%. Short interest has increased by 16.2% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 5.7% above its 200 day moving average of $149.88. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, February 28, 2020 there was some notable buying of 1,013 contracts of the $182.50 call expiring on Friday, March 20, 2020. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 5.7% move in recent quarters.

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Stitch Fix, Inc. $22.78

Stitch Fix, Inc. (SFIX) is confirmed to report earnings at approximately 4:05 PM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.06 per share on revenue of $452.96 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 83% expecting an earnings beat The company's guidance was for revenue of $447.00 million to $455.00 million. Consensus estimates are for earnings to decline year-over-year by 50.00% with revenue increasing by 22.33%. Short interest has decreased by 4.6% since the company's last earnings release while the stock has drifted lower by 16.1% from its open following the earnings release to be 5.1% below its 200 day moving average of $24.01. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, February 19, 2020 there was some notable buying of 4,026 contracts of the $35.00 call expiring on Friday, June 19, 2020. Option traders are pricing in a 28.0% move on earnings and the stock has averaged a 15.2% move in recent quarters.

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Sogou Inc. $3.85

Sogou Inc. (SOGO) is confirmed to report earnings at approximately 4:00 AM ET on Monday, March 9, 2020. The consensus earnings estimate is $0.09 per share on revenue of $303.08 million and the Earnings Whisper ® number is $0.10 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat The company's guidance was for revenue of $290.00 million to $310.00 million. Consensus estimates are for year-over-year earnings growth of 28.57% with revenue increasing by 1.78%. Short interest has increased by 6.6% since the company's last earnings release while the stock has drifted lower by 27.8% from its open following the earnings release to be 15.7% below its 200 day moving average of $4.57. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 3.8% move on earnings in recent quarters.

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DocuSign $84.02

DocuSign (DOCU) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, March 12, 2020. The consensus earnings estimate is $0.05 per share on revenue of $267.44 million and the Earnings Whisper ® number is $0.08 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for revenue of $263.00 million to $267.00 million. Consensus estimates are for year-over-year earnings growth of 600.00% with revenue increasing by 33.90%. Short interest has decreased by 37.7% since the company's last earnings release while the stock has drifted higher by 12.1% from its open following the earnings release to be 31.9% above its 200 day moving average of $63.71. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, March 4, 2020 there was some notable buying of 1,698 contracts of the $87.50 call expiring on Friday, March 20, 2020. Option traders are pricing in a 8.5% move on earnings and the stock has averaged a 10.0% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead stocks.
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