| | TL;DR - I will try and flip an account from $50 or less to $1,000 over 2019. I will post all my account details so my strategy can be seen/copied. I will do this using only three or four trading setups. All of which are simple enough to learn. I will start trading on 10th January. submitted by inweedwetrust to Forex [link] [comments] ---- As I see it there are two mains ways to understand how to make money in the markets. The first is to know what the biggest winners in the markets are doing and duplicating what they do. This is hard. Most of the biggest players will not publicly tell people what they are doing. You need to be able to kinda slide in with them and see if you can pick up some info. Not suitable for most people, takes a lot of networking and even then you have to be able to make the correct inferences. Another way is to know the most common trades of losing traders and then be on the other side of their common mistakes. This is usually far easier, usually everyone knows the mind of a losing trader. I learned about what losing traders do every day by being one of them for many years. I noticed I had an some sort of affinity for buying at the very top of moves and selling at the very bottom. This sucked, however, is was obvious there was winning trades on the other side of what I was doing and the adjustments to be a good trader were small (albeit, tricky). Thus began the study for entries and maximum risk:reward. See, there have been times I have bought aiming for a 10 pip scalps and hit 100 pips stops loss. Hell, there have been times I was going for 5 pips and hit 100 stop out. This can seem discouraging, but it does mean there must be 1:10 risk:reward pay-off on the other side of these mistakes, and they were mistakes. If you repeatedly enter and exit at the wrong times, you are making mistakes and probably the same ones over and over again. The market is tricking you! There are specific ways in which price moves that compel people to make these mistakes (I won’t go into this in this post, because it takes too long and this is going to be a long post anyway, but a lot of this is FOMO). Making mistakes is okay. In fact, as I see it, making mistakes is an essential part of becoming an expert. Making a mistake enough times to understand intrinsically why it is a mistake and then make the required adjustments. Understanding at a deep level why you trade the way you do and why others make the mistakes they do, is an important part of becoming an expert in your chosen area of focus. I could talk more on these concepts, but to keep the length of the post down, I will crack on to actual examples of trades I look for. Here are my three main criteria. I am looking for tops/bottoms of moves (edge entries). I am looking for 1:3 RR or more potential pay-offs. My strategy assumes that retail trades will lose most of the time. This seems a fair enough assumption. Without meaning to sound too crass about it, smart money will beat dumb money most of the time if the game is base on money. They just will. So to summarize, I am looking for the points newbies get trapped in bad positions entering into moves too late. From these areas, I am looking for high RR entries. Setup Examples. I call this one the “Lightning Bolt correction”, but it is most commonly referred to as a “two leg correction”. I call it a “Lightning Bolt correction” because it looks a bit like one, and it zaps you. If you get it wrong. https://preview.redd.it/t4whwijse2721.png?width=1326&format=png&auto=webp&s=c9050529c6e2472a3ff9f8e7137bd4a3ee5554cc Once I see price making the first sell-off move and then begin to rally towards the highs again, I am waiting for a washout spike low. The common trades mistakes I am trading against here is them being too eager to buy into the trend too early and for the to get stopped out/reverse position when it looks like it is making another bearish breakout. Right at that point they panic … literally one candle under there is where I want to be getting in. I want to be buying their stop loss, essentially. “Oh, you don’t want that ...okay, I will have that!” I need a precise entry. I want to use tiny stops (for big RR) so I need to be cute with entries. For this, I need entry rules. Not just arbitrarily buying the spike out. There are a few moving parts to this that are outside the scope of this post but one of my mains ways is using a fibs extension and looking for reversals just after the 1.61% level. How to draw the fibs is something else that is outside the scope of this but for one simple rule, they can be drawn on the failed new high leg. https://preview.redd.it/2cd682kve2721.png?width=536&format=png&auto=webp&s=f4d081c9faff49d0976f9ffab260aaed2b570309 I am looking for a few specific things for a prime setup. Firstly, I am looking for the false hope candles, the ones that look like they will reverse the market and let those buying too early get out break-even or even at profit. In this case, you can see the hammer and engulfing candle off the 127 level, then it spikes low in that “stop-hunt” sort of style. Secondly I want to see it trading just past my entry level (161 ext). This rule has come from nothing other than sheer volume. The amount of times I’ve been stopped out by 1 pip by that little sly final low has gave birth to this rule. I am looking for the market to trade under support in a manner that looks like a new strong breakout. When I see this, I am looking to get in with tiny stops, right under the lows. I will also be using smaller charts at this time and looking for reversal clusters of candles. Things like dojis, inverted hammers etc. These are great for sticking stops under. Important note, when the lightning bolt correction fails to be a good entry, I expect to see another two legs down. I may look to sell into this area sometimes, and also be looking for buying on another couple legs down. It is important to note, though, when this does not work out, I expect there to be continued momentum that is enough to stop out and reasonable stop level for my entry. Which is why I want to cut quick. If a 10 pips stop will hit, usually a 30 pips stop will too. Bin it and look for the next opportunity at better RR. https://preview.redd.it/mhkgy35ze2721.png?width=1155&format=png&auto=webp&s=a18278b85b10278603e5c9c80eb98df3e6878232 Another setup I am watching for is harmonic patterns, and I am using these as a multi-purpose indicator. When I see potentially harmonic patterns forming, I am using their completion level as take profits, I do not want to try and run though reversal patterns I can see forming hours ahead of time. I also use them for entering (similar rules of looking for specific entry criteria for small stops). Finally, I use them as a continuation pattern. If the harmonic pattern runs past the area it may have reversed from, there is a high probability that the market will continue to trend and very basic trend following strategies work well. I learned this from being too stubborn sticking with what I thought were harmonic reversals only to be ran over by a trend (seriously, everything I know I know from how it used to make me lose). https://preview.redd.it/1ytz2431f2721.png?width=1322&format=png&auto=webp&s=983a7f2a91f9195004ad8a2aa2bb9d4d6f128937 A method of spotting these sorts of M/W harmonics is they tend to form after a second spike out leg never formed. When this happens, it gives me a really good idea of where my profit targets should be and where my next big breakout level is. It is worth noting, larger harmonics using have small harmonics inside them (on lower time-frames) and this can be used for dialling in optimum entries. I also use harmonics far more extensively in ranging markets. Where they tend to have higher win rates. Next setup is the good old fashioned double bottoms/double top/one tick trap sort of setup. This comes in when the market is highly over extended. It has a small sell-off and rallies back to the highs before having a much larger sell-off. This is a more risky trade in that it sells into what looks like trending momentum and can be stopped out more. However, it also pays a high RR when it works, allowing for it to be ran at reduced risk and still be highly profitable when it comes through. https://preview.redd.it/1bx83776f2721.png?width=587&format=png&auto=webp&s=2c76c3085598ae70f4142d26c46c8d6e9b1c2881 From these sorts of moves, I am always looking for a follow up buy if it forms a lightning bolt sort of setup. All of these setups always offer 1:3 or better RR. If they do not, you are doing it wrong (and it will be your stop placement that is wrong). This is not to say the target is always 1:3+, sometimes it is best to lock in profits with training stops. It just means that every time you enter, you can potentially have a trade that runs for many times more than you risked. 1:10 RR can be hit in these sorts of setups sometimes. Paying you 20% for 2% risked. I want to really stress here that what I am doing is trading against small traders mistakes. I am not trying to “beat the market maker”. I am not trying to reverse engineer J.P Morgan’s black boxes. I do not think I am smart enough to gain a worthwhile edge over these traders. They have more money, they have more data, they have better softwares … they are stronger. Me trying to “beat the market maker” is like me trying to beat up Mike Tyson. I might be able to kick him in the balls and feel smug for a few seconds. However, when he gets up, he is still Tyson and I am still me. I am still going to be pummeled. I’ve seen some people that were fairly bright people going into training courses and coming out dumb as shit. Thinking they somehow are now going to dominate Goldman Sachs because they learned a chart pattern. Get a grip. For real, get a fucking grip. These buzz phrases are marketeering. Realististically, if you want to win in the markets, you need to have an edge over somebody. I don’t have edges on the banks. If I could find one, they’d take it away from me. Edges work on inefficiencies in what others do that you can spot and they can not. I do not expect to out-think a banks analysis team. I know for damn sure I can out-think a version of me from 5 years ago … and I know there are enough of them in the markets. I look to trade against them. I just look to protect myself from the larger players so they can only hurt me in limited ways. Rather than letting them corner me and beat me to a pulp (in the form of me watching $1,000 drop off my equity because I moved a stop or something), I just let them kick me in the butt as I run away. It hurts a little, but I will be over it soon. I believe using these principles, these three simple enough edge entry setups, selectiveness (remembering you are trading against the areas people make mistakes, wait for they areas) and measured aggression a person can make impressive compounded gains over a year. I will attempt to demonstrate this by taking an account of under $100 to over $1,000 in a year. I will use max 10% on risk on a position, the risk will scale down as the account size increases. In most cases, 5% risk per trade will be used, so I will be going for 10-20% or so profits. I will be looking only for prime opportunities, so few trades but hard hitting ones when I take them. I will start trading around the 10th January. Set remind me if you want to follow along. I will also post my investor login details, so you can see the trades in my account in real time. Letting you see when I place my orders and how I manage running positions. I also think these same principles can be tweaked in such a way it is possible to flip $50 or so into $1,000 in under a month. I’ve done $10 to $1,000 in three days before. This is far more complex in trade management, though. Making it hard to explain/understand and un-viable for many people to copy (it hedges, does not comply with FIFO, needs 1:500 leverage and also needs spreads under half a pip on EURUSD - not everyone can access all they things). I see all too often people act as if this can’t be done and everyone saying it is lying to sell you something. I do not sell signals. I do not sell training. I have no dog in this fight, I am just saying it can be done. There are people who do it. If you dismiss it as impossible; you will never be one of them. If I try this 10 times with $50, I probably am more likely to make $1,000 ($500 profit) in a couple months than standard ideas would double $500 - I think I have better RR, even though I may go bust 5 or more times. I may also try to demonstrate this, but it is kinda just show-boating, quite honestly. When it works, it looks cool. When it does not, I can go bust in a single day (see example https://www.fxblue.com/users/redditmicroflip). So I may or may not try and demonstrate this. All this is, is just taking good basic concepts and applying accelerated risk tactics to them and hitting a winning streak (of far less trades than you may think). Once you have good entries and RR optimization in place - there really is no reason why you can not scale these up to do what may people call impossible (without even trying it). I know there are a lot of people who do not think these things are possible and tend to just troll whenever people talk about these things. There used to be a time when I’d try to explain why I thought the way I did … before I noticed they only cared about telling me why they were right and discussion was pointless. Therefore, when it comes to replies, I will reply to all comments that ask me a question regarding why I think this can be done, or why I done something that I done. If you are commenting just to tell me all the reasons you think I am wrong and you are right, I will probably not reply. I may well consider your points if they are good ones. I just do not entering into discussions with people who already know everything; it serves no purpose. Edit: Addition. I want to talk a bit more about using higher percentage of risk than usual. Firstly, let me say that there are good reasons for risk caps that people often cite as “musts”. There are reasons why 2% is considered optimum for a lot of strategies and there are reasons drawing down too much is a really bad thing. Please do not be ignorant of this. Please do not assume I am, either. In previous work I done, I was selecting trading strategies that could be used for investment. When doing this, my only concern was drawdown metrics. These are essential for professional money management and they are also essential for personal long-term success in trading. So please do not think I have not thought of these sorts of things Many of the reasons people say these things can’t work are basic 101 stuff anyone even remotely committed to learning about trading learns in their first 6 months. Trust me, I have thought about these concepts. I just never stopped thinking when I found out what public consensus was. While these 101 rules make a lot of sense, it does not take away from the fact there are other betting strategies, and if you can know the approximate win rate and pay-off of trades, you can have other ways of deriving optimal bet sizes (risk per trade). Using Kelly Criterion, for example, if the pay-off is 1:3 and there is a 75% chance of winning, the optimal bet size is 62.5%. It would be a viable (high risk) strategy to have extremely filtered conditions that looked for just one perfect set up a month, makingover 150% if it was successful. Let’s do some math on if you can pull that off three months in a row (using 150% gain, for easy math). Start $100. Month two starts $250. Month three $625. Month three ends $1,562. You have won three trades. Can you win three trades in a row under these conditions? I don’t know … but don’t assume no-one can. This is extremely high risk, let’s scale it down to meet somewhere in the middle of the extremes. Let’s look at 10%. Same thing, 10% risk looking for ideal opportunities. Maybe trading once every week or so. 30% pay-off is you win. Let’s be realistic here, a lot of strategies can drawdown 10% using low risk without actually having had that good a chance to generate 30% gains in the trades it took to do so. It could be argued that trading seldomly but taking 5* the risk your “supposed” to take can be more risk efficient than many strategies people are using. I am not saying that you should be doing these things with tens of thousands of dollars. I am not saying you should do these things as long term strategies. What I am saying is do not dismiss things out of hand just because they buck the “common knowns”. There are ways you can use more aggressive trading tactics to turn small sums of money into they $1,000s of dollars accounts that you exercise they stringent money management tactics on. With all the above being said, you do have to actually understand to what extent you have an edge doing what you are doing. To do this, you should be using standard sorts of risks. Get the basics in place, just do not think you have to always be basic. Once you have good basics in place and actually make a bit of money, you can section off profits for higher risk versions of strategies. The basic concepts of money management are golden. For longevity and large funds; learned them and use them! Just don’t forget to think for yourself once you have done that. Update - Okay, I have thought this through a bit more and decided I don't want to post my live account investor login, because it has my full name and I do not know who any of you are. Instead, for copying/observing, I will give demo account login (since I can choose any name for a demo). I will also copy onto a live account and have that tracked via Myfxbook. I will do two versions. One will be FIFO compliant. It will trade only single trade positions. The other will not be FIFO compliant, it will open trades in batches. I will link up live account in a week or so. For now, if anyone wants to do BETA testing with the copy trader, you can do so with the following details (this is the non-FIFO compliant version). Account tracking/copying details. Low-Medium risk. IC Markets MT4 Account number: 10307003 Investor PW: lGdMaRe6 Server: Demo:01 (Not FIFO compliant) Valid and Invalid Complaints. There are a few things that can pop up in copy trading. I am not a n00b when it comes to this, so I can somewhat forecast what these will be. I can kinda predict what sort of comments there may be. Some of these are valid points that if you raise I should (and will) reply to. Some are things outside of the scope of things I can influence, and as such, there is no point in me replying to. I will just cover them all here the one time. Valid complains are if I do something dumb or dramatically outside of the strategy I have laid out here. won't do these, if I do, you can pitchfork ----E Examples; “Oi, idiot! You opened a trade randomly on a news spike. I got slipped 20 pips and it was a shit entry”. Perfectly valid complaint. “Why did you open a trade during swaps hours when the spread was 30 pips?” Also valid. “You left huge trades open running into the weekend and now I have serious gap paranoia!” Definitely valid. These are examples of me doing dumb stuff. If I do dumb stuff, it is fair enough people say things amounting to “Yo, that was dumb stuff”. Invalid Complains; “You bought EURUSD when it was clearly a sell!!!!” Okay … you sell. No-one is asking you to copy my trades. I am not trading your strategy. Different positions make a market. “You opened a position too big and I lost X%”. No. Na uh. You copied a position too big. If you are using a trade copier, you can set maximum risk. If you neglect to do this, you are taking 100% risk. You have no valid compliant for losing. The act of copying and setting the risk settings is you selecting your risk. I am not responsible for your risk. I accept absolutely no liability for any losses. *Suggested fix. Refer to risk control in copy trading software “You lost X trades in a row at X% so I lost too much”. Nope. You copied. See above. Anything relating to losing too much in trades (placed in liquid/standard market conditions) is entirely you. I can lose my money. Only you can set it up so you can lose yours. I do not have access to your account. Only mine. *Suggested fix. Refer to risk control in copy trading software “Price keeps trading close to the pending limit orders but not filling. Your account shows profits, but mine is not getting them”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. * Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Buy limit orders will need to move up a little. Sell limit orders should not need adjusted. “I got stopped out right before the market turned, I have a loss but your account shows a profit”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. ** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Stop losses on sell orders will need to move up a bit. Stops on buy orders will be fine. “Your trade got stopped out right before the market turned, if it was one more pip in the stop, it would have been a winner!!!” Yeah. This happens. This is where the “risk” part of “risk:reward” comes in. “Price traded close to take profit, yours filled but mines never”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. (Side note, this should not be an issue since when my trade closes, it should ping your account to close, too. You might get a couple less pips). *** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Take profits on buys will need to move up a bit. Sell take profits will be fine. “My brokers spread jumped to 20 during the New York session so the open trade made a bigger loss than it should”. Your broker might just suck if this happens. This is brokerage. I have no control over this. My trades are placed to profit from my brokerage conditions. I do not know, so can not account for yours. Also, if accounting for random spread spikes like this was something I had to do, this strategy would not be a thing. It only works with fair brokerage conditions. *Suggested fix. Do a bit of Googling and find out if you have a horrific broker. If so, fix that! A good search phrase is; “(Broker name) FPA reviews”. “Price hit the stop loss but was going really fast and my stop got slipped X pips”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. If my trade also got slipped on the stop, I was slipped using ECN conditions with excellent execution; sometimes slips just happen. I am doing the most I can to prevent them, but it is a fact of liquidity that sometimes we get slipped (slippage can also work in our favor, paying us more than the take profit would have been). “Orders you placed failed to execute on my account because they were too large”. This is brokerage. I have no control over this. Margin requirements vary. I have 1:500 leverage available. I will not always be using it, but I can. If you can’t, this will make a difference. “Your account is making profits trading things my broker does not have” I have a full range of assets to trade with the broker I use. Included Forex, indices, commodities and cryptocurrencies. I may or may not use the extent of these options. I can not account for your brokerage conditions. I think I have covered most of the common ones here. There are some general rules of thumb, though. Basically, if I do something that is dumb and would have a high probability of losing on any broker traded on, this is a valid complain. Anything that pertains to risk taken in standard trading conditions is under your control. Also, anything at all that pertains to brokerage variance there is nothing I can do, other than fully brief you on what to expect up-front. Since I am taking the time to do this, I won’t be a punchbag for anything that happens later pertaining to this. I am not using an elitist broker. You don’t need $50,000 to open an account, it is only $200. It is accessible to most people - brokerage conditions akin to what I am using are absolutely available to anyone in the UK/Europe/Asia (North America, I am not so up on, so can’t say). With the broker I use, and with others. If you do not take the time to make sure you are trading with a good broker, there is nothing I can do about how that affects your trades. I am using an A book broker, if you are using B book; it will almost certainly be worse results. You have bad costs. You are essentially buying from reseller and paying a mark-up. (A/B book AKA ECN/Market maker; learn about this here). My EURUSD spread will typically be 0.02 pips or so, if yours is 1 pip, this is a huge difference. These are typical spreads I am working on. https://preview.redd.it/yc2c4jfpab721.png?width=597&format=png&auto=webp&s=c377686b2485e13171318c9861f42faf325437e1 Check the full range of spreads on Forex, commodities, indices and crypto. Please understand I want nothing from you if you benefit from this, but I am also due you nothing if you lose. My only term of offering this is that people do not moan at me if they lose money. I have been fully upfront saying this is geared towards higher risk. I have provided information and tools for you to take control over this. If I do lose people’s money and I know that, I honestly will feel a bit sad about it. However, if you complain about it, all I will say is “I told you that might happen”, because, I am telling you that might happen. Make clear headed assessments of how much money you can afford to risk, and use these when making your decisions. They are yours to make, and not my responsibility. Update. Crazy Kelly Compounding: $100 - $11,000 in 6 Trades. $100 to $11,000 in 6 trades? Is it a scam? Is it a gamble? … No, it’s maths. Common sense risk disclaimer: Don’t be a dick! Don’t risk money you can’t afford to lose. Do not risk money doing these things until you can show a regular profit on low risk. Let’s talk about Crazy Kelly Compounding (CKC). Kelly criterion is a method for selecting optimal bet sizes if the odds and win rate are known (in other words, once you have worked out how to create and assess your edge). You can Google to learn about it in detail. The formula for Kelly criterion is; ((odds-1) * (percentage estimate)) - (1-percent estimate) / (odds-1) X 100 Now let’s say you can filter down a strategy to have a 80% win rate. It trades very rarely, but it had a very high success rate when it does. Let’s say you get 1:2 RR on that trade. Kelly would give you an optimum bet size of about 60% here. So if you win, you win 120%. Losing three trades in a row will bust you. You can still recover from anything less than that, fairly easily with a couple winning trades. This is where CKC comes in. What if you could string some of these wins together, compounding the gains (so you were risking 60% each time)? What if you could pull off 6 trades in a row doing this? Here is the math; https://preview.redd.it/u3u6teqd7c721.png?width=606&format=png&auto=webp&s=3b958747b37b68ec2a769a8368b5cbebfe0e97ff This shows years, substitute years for trades. 6 trades returns $11,338! This can be done. The question really is if you are able to dial in good enough entries, filter out enough sub-par trades and have the guts to pull the trigger when the time is right. Obviously you need to be willing to take the hit, obviously that hit gets bigger each time you go for it, but the reward to risk ratio is pretty decent if you can afford to lose the money. We could maybe set something up to do this on cent brokers. So people can do it literally risking a couple dollars. I’d have to check to see if there was suitable spreads etc offered on them, though. They can be kinda icky. Now listen, I am serious … don’t be a dick. Don’t rush out next week trying to retire by the weekend. What I am showing you is the EXTRA rewards that come with being able to produce good solid results and being able to section off some money for high risk “all or nothing” attempts; using your proven strategies. I am not saying anyone can open 6 trades and make $11,000 … that is rather improbable. What I am saying is once you can get the strategy side right, and you can know your numbers; then you can use the numbers to see where the limits actually are, how fast your strategy can really go. This CKC concept is not intended to inspire you to be reckless in trading, it is intended to inspire you to put focus on learning the core skills I am telling you that are behind being able to do this. |
The third-quarter earnings season kicks off in the coming week, and it is likely to expose how much the trade war has cost companies’ bottom lines.
First out of the gate are major banks and financial companies, with J.P. Morgan, Citigroup, Wells Fargo, BlackRock and Goldman Sachs reporting Tuesday. But by the end of the week, a smattering of industrial, tech, transportation and consumer names will have reported, including Alcoa and Honeywell. Netflix and IBM report Wednesday, and consumer giant Coca-Cola reports Friday. United Airlines reports Tuesday, and CSX reports Wednesday.
Besides earnings, some important economic reports are being released, including retail sales on Wednesday and industrial production Thursday.
Earnings for the S&P 500 are expected to decline by 3.1% for the third quarter, after growing by more than 3% in the second quarter, according to data from Refinitiv. For the second quarter, earnings were also expected to be negative to flat, but results beat lowered expectations.
“The story of are we going to be negative, or are we not going to be negative, is going to be in focus,” said Patrick Palfrey, senior equity strategist at Credit Suisse.
Palfrey said margins are being pinched in several areas, including energy, with the decline in oil prices. Oil has been responding more to worries about global growth and trade wars than to geopolitical developments that normally could drive it higher. West Texas Intermediate crude was down 7.5% in the third quarter.
“We are of the view that companies will likely devote a significant portion of their time talking about the impact of trade tariffs,” Palfrey said. “The goal is to ascertain just how much the decline in earnings is coming from those pressures.”
The decline in oil prices, in fact, are expected to drag down profits in the energy sector. Earnings for the energy sector are expected to be down 32%, while revenues are expected to fall by 9.5%, according to Credit Suisse. Margins for the sector are expected to contract by 22.7%. Without energy estimates included, S&P profits would be down just 1%, according to Refinitiv.
“We think margins are going to subtract 5.9% from EPS growth of the S&P 500,” said Palfrey. He projects earnings overall to decline by 4.2%, and he does not expect the stock market to make much headway during the earnings season.
“I think we’re moving sideways. The real backstop is the environment, while under pressure, it is nonrecessionary, and that will ultimately prevent the market from materially selling off,” said Palfrey.
Palflrey said a group he calls “tech plus,” which include tech and communications companies, have taken some of the biggest margin hits this quarter even though revenue growth remains solid. Six of the top 10 companies whose margins impacted S&P earnings growth the most are from that group, including Alphabet , Amazon, Apple, Facebook, IBM and Micron.
As a group, their margins are expected to contract by 14.8%, compared with 3.6% for all other S&P 500 companies combined.
ExxonMobil and Occidental Petroleum are on the list of companies with the biggest margin hits. Exxon for example saw a decline in margins of 34%, and Credit Suisse estimates that pared 0.6% off overall S&P 500 earnings growth. Credit Suisse says the consensus decline in Amazon margins is expected to be 42.5%, denting S&P earnings growth by 0.3%.
“At least for earnings, it’s a relatively positive backdrop. We should see a little bit of clarity on the whole China trade,” said Paul Hickey, co-founder of Bespoke. Hickey said in the past two quarters, stocks did well at the start of the reporting season, but they were then derailed by trade developments in the latter part of the earnings period.
Palfrey said the market is being held back by several factors, including the slowdown in the manufacturing sector. “I think it’s going to be difficult for the market to move meaningfully higher without an improvement in industrial data and without the yield curve becoming uninverted,” he said.
ISM manufacturing data has been weakening and has shown a contraction in activity for the past two months.
The inverted yield curve is a bond market recession warning. When the curve is inverted, shorter duration securities yield more than longer duration securities, meaning investors are demanding a higher yield to hold investments for a much briefer time. In this case, the 3-month Treasury bill was yielding about 11 more basis points than the 10-year note.
Hickey said there could be some positives in the earnings season, like last quarter. Negative revisions of earnings estimates by analysts are outnumbering positive revisions by about 2 to 1. He noted in the last two quarters, stocks responded well to earnings news in the beginning of the reporting period but then faded when negative headlines on trade in the latter part of each earnings season.
“Expectations seem pretty low. We’ve had analysts’ downward revisions remain elevated, as they’ve been heading into prior warning seasons. But we haven’t necessarily seen the number of warnings from companies rising,” he said. “It could be a positive divergence that analysts are lowering earnings estimates at a higher-than-average rate, but companies aren’t warning at a higher-than-average rate.”
Financial companies profits are expected to be up by 1.4%, and real estate is expected to see the best profit growth with a gain of 2.7%, according to Refinitiv. The information technology sector is expected to see a profit decline of 7.6%, and communications is expected to be 1% lower, according to Refinitiv. Materials is expected to see the biggest decline after energy. Sensitive to global growth and manufacturing, the sector’s earnings are expected to fall 11.1%.
Despite the downbeat expectations for third-quarter earnings, companies may issue more positive outlooks after China and the U.S. announced the first phase of a trade deal.
Stocks rallied Friday. The Dow Jones Industrial Average, S&P 500 and Nasdaq Composite were all up more than 1%. The Dow and S&P 500 were also up around 1% for the week and snapped a three-week losing streak.
It was a disappointing week for US economic data as two-thirds of releases came in weaker than expected or than the prior period. Consumer Credit data for the month of August was the only major release on Monday, exceeding expectations, but declining from July’s level. Inflation data took the spotlight this week with the release of PPI, CPI, and export and import prices. Core CPI was inline with the previous month and the import price index’s decline (year over year) was smaller than forecasted, but other readings on inflation were weaker. Likewise, labor data had its share of disappointments as the JOLTS report showed a third consecutive decline in openings, hourly earnings growth slowed, and continuing claims ticked higher. Initial Jobless Claims provided some relief though, coming in at 210K compared to 220K expected and 219K last week. While small business optimism was weaker—NFIB’s index fell to 101.8 from 103.1—consumer sentiment readings from Bloomberg and the University of Michigan both rose with the latter exceeding expectations.
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Looking ahead to next week, the calendar is slightly busier with 22 releases on the docket in addition to earnings beginning to ramp up as a total of 115 companies report. There are no scheduled economic releases Monday due to Columbus Day, so next week’s data begins on Tuesday with Empire Manufacturing which is forecasted to fall from 2.0 to 0.5. Other manufacturing gauges, including the Philadelphia Fed’s index and industrial production, are also expected to fall. Retail Sales is scheduled for Wednesday and are expected to rise 0.3%. On Thursday, Housing Starts and Permit data are both expected to show moderation. The leading index is scheduled to round out the week on Friday.
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This week’s fund flow numbers from the Investment Company Institute showed that the long, steady rotation from equity mutual funds and exchange traded funds to fixed income funds has continued.
As shown below, the spread between equity fund flows and fixed income fund flows has reached a net reading of -$165.9bn over the last three months; that’s among the largest net flow out of equities and into bonds since the data starts.
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Fixed income isn’t the only place that retail has been moving allocations to. As shown in the chart below, 13 week commodity fund flows have been among the largest of the periods since the data for ETF and mutual funds combined begins.
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Looking for action? At the start of each earnings season, we publish our list of the most volatile stocks on earnings. Our Earnings Explorer tool contains a huge database that has every single quarterly earnings report for nearly all US-listed stocks going back to 2001. One part of the database tracks the one-day price reaction that stocks experience following their earnings reports, so users are able to easily track how individual stocks typically react to earnings.
In the table below, we show the stocks expected to report within the next month that have historically been the most volatile in reaction to earnings. To make the list, the company had to have at least 20 quarterly reports (5 years) and also have a current share price of $5 or more.
At the top of the list is Telecom equipment maker Infinera (INFN), which is scheduled to report on October 28th after the close. INFN just barely makes the cut because it trades at $5.20/share, but it has historically averaged a one-day absolute change of 15.16% on its historical earnings reaction days. You can expect a big move when it reports at the end of this month. Consumer review website YELP ranks as the second most volatile stock on earnings with an average one-day move of +/-14.85%. Enphase Energy (ENPH), LendingTree (TREE), and Applied Opto (AAOI) round out the top five with average one-day moves of more than +/-13% on their earnings reaction days. Other notables towards the top of the list include Wayfair (W), Netflix (NFLX), and Twitter (TWTR), which all typically move either up or down more than 12% on earnings.
Of the stocks on the list, Enphase (ENPH) is up by far the most in 2019 with a huge gain of 424%. Other stocks like Stamps.com (STMP), ANGI Homeservices (ANGI), and Green Dot (GDOT) are down more than 50% YTD. Twitter (TWTR), Blucora (BCOR), and Benefitfocus (BNFT) have the highest earnings beat rates at more than 90%. While it has a high beat rate, BNFT has been on a wild ride over the past two years, rallying from $24 up to $60 in 2018 before falling all the way back down to $24 as of today. You can bet a big move is in store when it reports on the 31st.
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If you're just interested in large-cap names, below is a list of the most volatile S&P 500 stocks on earnings. These are stocks set to report over the next month, and as shown, Netflix (NFLX) is at the top of the list with an average one-day move of +/-12.78% on earnings. Twitter (TWTR), Align Tech (ALGN), TripAdvisor (TRIP), and Akamai (AKAM) rank 2nd through 5th in that order, while other notables include Amazon (AMZN), Advanced Micro (AMD), Chipotle (CMG), Facebook (FB), Electronic Arts (EA), and Wynn Resorts (WYNN).
If you own or have interest in owning any of these names, buckle up because they're likely to experience a big move when they report at some point in the next few weeks!
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Our Earnings Calendar is part of our Earnings Explorer tool. The calendar shows the upcoming earnings report dates for US-listed companies over the next month, and investors use it as an easy way to monitor the names they're most interested in. We provide quite a bit of information for each company listed in the calendar, including EPS and sales estimates, its historical beat rates, and its average share price performance on its earnings reaction day. If you ever want to know how a stock typically trades in reaction to its earnings report, this is the place to go.
The Q3 2019 earnings reporting period finally kicks off next week when most of the big banks are set to report. But the biggest weeks for earnings will come in the back half of October and the first couple weeks of November. As shown in the chart below, the week of October 28th through November 1st is the busiest of them all when we'll see hundreds of companies report each day.
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Below is a list pulled from our Earnings Calendar of the key earnings reports to watch next week (based on market cap). There are no key reports to speak of on Monday the 14th due to Columbus Day, but on Tuesday we'll hear from Citigroup (C), Goldman (GS), JP Morgan (JPM), Wells Fargo (WFC), Johnson & Johnson (JNJ), and UnitedHealth (UNH) all before the open. On Wednesday, we'll get results from Bank of America (BAC) in the morning and then IBM and Netflix (NFLX) after the close, while on Thursday we'll hear from Morgan Stanley (MS), which will be the last of the major banks and brokers to report next week. American Express (AXP), Coca-Cola (KO), and Schlumberger (SLB) will finish off the week with reports on Friday morning.
Of the key stocks reporting next week, Goldman (GS), Johnson & Johnson (JNJ), and UnitedHealth (UNH) beat EPS estimates the most often at more than 90% of the time. In terms of price reactions, Intuitive Surgical (ISRG) -- which reports on Thursday afternoon -- has historically reacted the most positively to earnings with an average one-day gain of 3.24%. Bank of America (BAC) has the weakest price reaction to earnings with an average one-day drop of 0.95%.
In terms of earnings volatility, Netflix (NFLX) takes the cake with an average absolute one-day change of 12.78% on its earnings reaction day.
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The following week (10/21-10/25) is when we'll really be in the heart of the Q3 reporting period. A large number of Dow 30 stocks will report that week, including big blue chips like McDonald's (MCD), United Tech (UTX), Procter & Gamble (PG), Boeing (BA), Caterpillar (CAT), Intel (INTC), and Microsoft (MSFT). The most important report of the week will come on Thursday the 24th when Amazon (AMZN) announces after the close. AMZN is currently expected to announce earnings of $7.19/share and revenues of $68.7 billion for the quarter. AMZN doesn't have an abnormally high EPS beat rate at just 62.5%, but it is typically a very volatile name as its average one-day move on earnings has historically been nearly +/-10%. Just think, a 10% move for AMZN is a $174 swing in either direction based on its current share price.
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Just like that, the S&P 500 Index fell more than 1% on the first day of October. The rough start has many investors on edge, as October is known for spectacular crashes—specifically 1929, 1987, and 2008.
On the flipside, September 2019 was historically calm for equity markets, as the S&P 500 didn’t fall 1% on a single day the entire month.
“The lack of any volatility in September could mean the usually volatile month of October could be due for some big swings,” said LPL Financial Senior Market Strategist Ryan Detrick. “The good news, though, is while October has had a bad rap for some big drops, over the past 20 years, it actually has been the third best month of the year for stocks.”
As shown in the LPL Chart of the Day, October has quietly been one of the strongest months of the year over the past 10 and 20 years. Going back to 1950, it ranks as the seventh strongest month of the year, so right near the middle of the pack.
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Four other things to consider: Since 1950, no month has had more 1% moves (higher or lower) than October. Since 1928, 6 of the 10 worst single-day drops have taken place in October; however, 3 of the 10 best days ever occurred in October as well. This is a pre-election year, and as the chart above shows, October’s average returns in a pre-election year have been muted since 1950. The catch here is that this average return is greatly impacted by the 21.8% drop in 1987. The median return is actually quite respectable. October has been higher during a pre-election year every year since 1999, with an average return of an impressive 6.5%.
- $NFLX
- $JPM
- $UNH
- $C
- $BAC
- $JNJ
- $GS
- $WFC
- $APHA
- $SCHW
- $ALLY
- $ABT
- $BLK
- $KO
- $PLD
- $UAL
- $PM
- $WIT
- $MS
- $IBM
- $AXP
- $FHN
- $FRC
- $URI
- $SLB
- $HON
- $CSX
- $PNC
- $UNP
- $TEAM
- $AA
- $USB
- $ISRG
- $ERIC
- $CCI
- $BK
- $ASML
- $JBHT
- $CMA
- $TSM
- $TXT
- $SNBR
- $BBT
- $MBWM
- $GPC
- $KMI
- $KEY
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Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Wednesday, October 16, 2019. The consensus earnings estimate is $1.05 per share on revenue of $5.25 billion and the Earnings Whisper ® number is $1.08 per share. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat The company's guidance was for earnings of approximately $1.04 per share. Consensus estimates are for year-over-year earnings growth of 17.98% with revenue increasing by 31.27%. Short interest has increased by 21.2% since the company's last earnings release while the stock has drifted lower by 12.6% from its open following the earnings release to be 15.3% below its 200 day moving average of $334.07. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 22,522 contracts of the $300.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 5.9% move in recent quarters.
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JPMorgan Chase & Co. (JPM) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $2.44 per share on revenue of $28.21 billion and the Earnings Whisper ® number is $2.48 per share. Investor sentiment going into the company's earnings release has 56% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.27% with revenue decreasing by 15.01%. Short interest has increased by 15.5% since the company's last earnings release while the stock has drifted higher by 2.3% from its open following the earnings release to be 7.1% above its 200 day moving average of $108.43. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, October 2, 2019 there was some notable buying of 6,413 contracts of the $105.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 3.2% move on earnings and the stock has averaged a 1.8% move in recent quarters.
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UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $3.75 per share on revenue of $59.96 billion and the Earnings Whisper ® number is $3.83 per share. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.97% with revenue increasing by 6.02%. Short interest has increased by 16.3% since the company's last earnings release while the stock has drifted lower by 16.4% from its open following the earnings release to be 8.7% below its 200 day moving average of $243.25. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, September 26, 2019 there was some notable buying of 4,631 contracts of the $215.00 call and 4,517 contracts of the $215.00 put expiring on Friday, October 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.
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Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $1.96 per share on revenue of $18.54 billion and the Earnings Whisper ® number is $2.00 per share. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 12.64% with revenue decreasing by 25.11%. Short interest has increased by 28.2% since the company's last earnings release while the stock has drifted lower by 2.3% from its open following the earnings release to be 7.0% above its 200 day moving average of $65.49. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, September 25, 2019 there was some notable buying of 15,719 contracts of the $70.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 4.2% move on earnings and the stock has averaged a 1.7% move in recent quarters.
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Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, October 16, 2019. The consensus earnings estimate is $0.68 per share on revenue of $22.11 billion and the Earnings Whisper ® number is $0.58 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 3.03% with revenue decreasing by 20.67%. Short interest has increased by 12.1% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 1.1% below its 200 day moving average of $29.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, October 11, 2019 there was some notable buying of 14,791 contracts of the $29.00 put expiring on Friday, October 18, 2019. Option traders are pricing in a 3.9% move on earnings and the stock has averaged a 2.4% move in recent quarters.
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Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $2.00 per share on revenue of $20.05 billion and the Earnings Whisper ® number is $2.02 per share. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.44% with revenue decreasing by 1.46%. Short interest has increased by 0.3% since the company's last earnings release while the stock has drifted lower by 1.2% from its open following the earnings release to be 1.8% below its 200 day moving average of $133.79. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, October 2, 2019 there was some notable buying of 5,692 contracts of the $130.00 put expiring on Friday, November 15, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 1.8% move in recent quarters.
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Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $5.03 per share on revenue of $8.55 billion and the Earnings Whisper ® number is $5.14 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.90% with revenue decreasing by 1.11%. Short interest has increased by 14.2% since the company's last earnings release while the stock has drifted lower by 4.7% from its open following the earnings release to be 3.1% above its 200 day moving average of $198.59. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, September 25, 2019 there was some notable buying of 2,622 contracts of the $225.00 call expiring on Friday, November 15, 2019. Option traders are pricing in a 4.0% move on earnings and the stock has averaged a 3.3% move in recent quarters.
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Wells Fargo & Co. (WFC) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $1.15 per share on revenue of $20.79 billion and the Earnings Whisper ® number is $1.20 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 1.77% with revenue decreasing by 19.21%. Short interest has increased by 53.5% since the company's last earnings release while the stock has drifted higher by 5.3% from its open following the earnings release to be 3.7% above its 200 day moving average of $47.45. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 27, 2019 there was some notable buying of 25,513 contracts of the $55.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 3.4% move on earnings and the stock has averaged a 2.2% move in recent quarters.
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Aphria Inc. (APHA) is confirmed to report earnings at approximately 6:05 AM ET on Tuesday, October 15, 2019. The consensus estimate is for a loss of $0.02 per share on revenue of $103.90 million and the Earnings Whisper ® number is $0.00 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Short interest has increased by 26.0% since the company's last earnings release while the stock has drifted lower by 30.1% from its open following the earnings release to be 39.9% below its 200 day moving average of $7.84. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, October 10, 2019 there was some notable buying of 4,133 contracts of the $5.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 20.7% move on earnings and the stock has averaged a 20.3% move in recent quarters.
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Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $0.65 per share on revenue of $2.66 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 3.14%. Short interest has decreased by 3.1% since the company's last earnings release while the stock has drifted lower by 9.1% from its open following the earnings release to be 12.7% below its 200 day moving average of $42.72. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, October 7, 2019 there was some notable buying of 8,694 contracts of the $36.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 3.3% move in recent quarters.
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The third-quarter earnings season kicks off in the coming week, and it is likely to expose how much the trade war has cost companies’ bottom lines.
First out of the gate are major banks and financial companies, with J.P. Morgan, Citigroup, Wells Fargo, BlackRock and Goldman Sachs reporting Tuesday. But by the end of the week, a smattering of industrial, tech, transportation and consumer names will have reported, including Alcoa and Honeywell. Netflix and IBM report Wednesday, and consumer giant Coca-Cola reports Friday. United Airlines reports Tuesday, and CSX reports Wednesday.
Besides earnings, some important economic reports are being released, including retail sales on Wednesday and industrial production Thursday.
Earnings for the S&P 500 are expected to decline by 3.1% for the third quarter, after growing by more than 3% in the second quarter, according to data from Refinitiv. For the second quarter, earnings were also expected to be negative to flat, but results beat lowered expectations.
“The story of are we going to be negative, or are we not going to be negative, is going to be in focus,” said Patrick Palfrey, senior equity strategist at Credit Suisse.
Palfrey said margins are being pinched in several areas, including energy, with the decline in oil prices. Oil has been responding more to worries about global growth and trade wars than to geopolitical developments that normally could drive it higher. West Texas Intermediate crude was down 7.5% in the third quarter.
“We are of the view that companies will likely devote a significant portion of their time talking about the impact of trade tariffs,” Palfrey said. “The goal is to ascertain just how much the decline in earnings is coming from those pressures.”
The decline in oil prices, in fact, are expected to drag down profits in the energy sector. Earnings for the energy sector are expected to be down 32%, while revenues are expected to fall by 9.5%, according to Credit Suisse. Margins for the sector are expected to contract by 22.7%. Without energy estimates included, S&P profits would be down just 1%, according to Refinitiv.
“We think margins are going to subtract 5.9% from EPS growth of the S&P 500,” said Palfrey. He projects earnings overall to decline by 4.2%, and he does not expect the stock market to make much headway during the earnings season.
“I think we’re moving sideways. The real backstop is the environment, while under pressure, it is nonrecessionary, and that will ultimately prevent the market from materially selling off,” said Palfrey.
Palflrey said a group he calls “tech plus,” which include tech and communications companies, have taken some of the biggest margin hits this quarter even though revenue growth remains solid. Six of the top 10 companies whose margins impacted S&P earnings growth the most are from that group, including Alphabet , Amazon, Apple, Facebook, IBM and Micron.
As a group, their margins are expected to contract by 14.8%, compared with 3.6% for all other S&P 500 companies combined.
ExxonMobil and Occidental Petroleum are on the list of companies with the biggest margin hits. Exxon for example saw a decline in margins of 34%, and Credit Suisse estimates that pared 0.6% off overall S&P 500 earnings growth. Credit Suisse says the consensus decline in Amazon margins is expected to be 42.5%, denting S&P earnings growth by 0.3%.
“At least for earnings, it’s a relatively positive backdrop. We should see a little bit of clarity on the whole China trade,” said Paul Hickey, co-founder of Bespoke. Hickey said in the past two quarters, stocks did well at the start of the reporting season, but they were then derailed by trade developments in the latter part of the earnings period.
Palfrey said the market is being held back by several factors, including the slowdown in the manufacturing sector. “I think it’s going to be difficult for the market to move meaningfully higher without an improvement in industrial data and without the yield curve becoming uninverted,” he said.
ISM manufacturing data has been weakening and has shown a contraction in activity for the past two months.
The inverted yield curve is a bond market recession warning. When the curve is inverted, shorter duration securities yield more than longer duration securities, meaning investors are demanding a higher yield to hold investments for a much briefer time. In this case, the 3-month Treasury bill was yielding about 11 more basis points than the 10-year note.
Hickey said there could be some positives in the earnings season, like last quarter. Negative revisions of earnings estimates by analysts are outnumbering positive revisions by about 2 to 1. He noted in the last two quarters, stocks responded well to earnings news in the beginning of the reporting period but then faded when negative headlines on trade in the latter part of each earnings season.
“Expectations seem pretty low. We’ve had analysts’ downward revisions remain elevated, as they’ve been heading into prior warning seasons. But we haven’t necessarily seen the number of warnings from companies rising,” he said. “It could be a positive divergence that analysts are lowering earnings estimates at a higher-than-average rate, but companies aren’t warning at a higher-than-average rate.”
Financial companies profits are expected to be up by 1.4%, and real estate is expected to see the best profit growth with a gain of 2.7%, according to Refinitiv. The information technology sector is expected to see a profit decline of 7.6%, and communications is expected to be 1% lower, according to Refinitiv. Materials is expected to see the biggest decline after energy. Sensitive to global growth and manufacturing, the sector’s earnings are expected to fall 11.1%.
Despite the downbeat expectations for third-quarter earnings, companies may issue more positive outlooks after China and the U.S. announced the first phase of a trade deal.
Stocks rallied Friday. The Dow Jones Industrial Average, S&P 500 and Nasdaq Composite were all up more than 1%. The Dow and S&P 500 were also up around 1% for the week and snapped a three-week losing streak.
It was a disappointing week for US economic data as two-thirds of releases came in weaker than expected or than the prior period. Consumer Credit data for the month of August was the only major release on Monday, exceeding expectations, but declining from July’s level. Inflation data took the spotlight this week with the release of PPI, CPI, and export and import prices. Core CPI was inline with the previous month and the import price index’s decline (year over year) was smaller than forecasted, but other readings on inflation were weaker. Likewise, labor data had its share of disappointments as the JOLTS report showed a third consecutive decline in openings, hourly earnings growth slowed, and continuing claims ticked higher. Initial Jobless Claims provided some relief though, coming in at 210K compared to 220K expected and 219K last week. While small business optimism was weaker—NFIB’s index fell to 101.8 from 103.1—consumer sentiment readings from Bloomberg and the University of Michigan both rose with the latter exceeding expectations.
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Looking ahead to next week, the calendar is slightly busier with 22 releases on the docket in addition to earnings beginning to ramp up as a total of 115 companies report. There are no scheduled economic releases Monday due to Columbus Day, so next week’s data begins on Tuesday with Empire Manufacturing which is forecasted to fall from 2.0 to 0.5. Other manufacturing gauges, including the Philadelphia Fed’s index and industrial production, are also expected to fall. Retail Sales is scheduled for Wednesday and are expected to rise 0.3%. On Thursday, Housing Starts and Permit data are both expected to show moderation. The leading index is scheduled to round out the week on Friday.
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This week’s fund flow numbers from the Investment Company Institute showed that the long, steady rotation from equity mutual funds and exchange traded funds to fixed income funds has continued.
As shown below, the spread between equity fund flows and fixed income fund flows has reached a net reading of -$165.9bn over the last three months; that’s among the largest net flow out of equities and into bonds since the data starts.
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Fixed income isn’t the only place that retail has been moving allocations to. As shown in the chart below, 13 week commodity fund flows have been among the largest of the periods since the data for ETF and mutual funds combined begins.
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Looking for action? At the start of each earnings season, we publish our list of the most volatile stocks on earnings. Our Earnings Explorer tool contains a huge database that has every single quarterly earnings report for nearly all US-listed stocks going back to 2001. One part of the database tracks the one-day price reaction that stocks experience following their earnings reports, so users are able to easily track how individual stocks typically react to earnings.
In the table below, we show the stocks expected to report within the next month that have historically been the most volatile in reaction to earnings. To make the list, the company had to have at least 20 quarterly reports (5 years) and also have a current share price of $5 or more.
At the top of the list is Telecom equipment maker Infinera (INFN), which is scheduled to report on October 28th after the close. INFN just barely makes the cut because it trades at $5.20/share, but it has historically averaged a one-day absolute change of 15.16% on its historical earnings reaction days. You can expect a big move when it reports at the end of this month. Consumer review website YELP ranks as the second most volatile stock on earnings with an average one-day move of +/-14.85%. Enphase Energy (ENPH), LendingTree (TREE), and Applied Opto (AAOI) round out the top five with average one-day moves of more than +/-13% on their earnings reaction days. Other notables towards the top of the list include Wayfair (W), Netflix (NFLX), and Twitter (TWTR), which all typically move either up or down more than 12% on earnings.
Of the stocks on the list, Enphase (ENPH) is up by far the most in 2019 with a huge gain of 424%. Other stocks like Stamps.com (STMP), ANGI Homeservices (ANGI), and Green Dot (GDOT) are down more than 50% YTD. Twitter (TWTR), Blucora (BCOR), and Benefitfocus (BNFT) have the highest earnings beat rates at more than 90%. While it has a high beat rate, BNFT has been on a wild ride over the past two years, rallying from $24 up to $60 in 2018 before falling all the way back down to $24 as of today. You can bet a big move is in store when it reports on the 31st.
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If you're just interested in large-cap names, below is a list of the most volatile S&P 500 stocks on earnings. These are stocks set to report over the next month, and as shown, Netflix (NFLX) is at the top of the list with an average one-day move of +/-12.78% on earnings. Twitter (TWTR), Align Tech (ALGN), TripAdvisor (TRIP), and Akamai (AKAM) rank 2nd through 5th in that order, while other notables include Amazon (AMZN), Advanced Micro (AMD), Chipotle (CMG), Facebook (FB), Electronic Arts (EA), and Wynn Resorts (WYNN).
If you own or have interest in owning any of these names, buckle up because they're likely to experience a big move when they report at some point in the next few weeks!
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Our Earnings Calendar is part of our Earnings Explorer tool. The calendar shows the upcoming earnings report dates for US-listed companies over the next month, and investors use it as an easy way to monitor the names they're most interested in. We provide quite a bit of information for each company listed in the calendar, including EPS and sales estimates, its historical beat rates, and its average share price performance on its earnings reaction day. If you ever want to know how a stock typically trades in reaction to its earnings report, this is the place to go.
The Q3 2019 earnings reporting period finally kicks off next week when most of the big banks are set to report. But the biggest weeks for earnings will come in the back half of October and the first couple weeks of November. As shown in the chart below, the week of October 28th through November 1st is the busiest of them all when we'll see hundreds of companies report each day.
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Below is a list pulled from our Earnings Calendar of the key earnings reports to watch next week (based on market cap). There are no key reports to speak of on Monday the 14th due to Columbus Day, but on Tuesday we'll hear from Citigroup (C), Goldman (GS), JP Morgan (JPM), Wells Fargo (WFC), Johnson & Johnson (JNJ), and UnitedHealth (UNH) all before the open. On Wednesday, we'll get results from Bank of America (BAC) in the morning and then IBM and Netflix (NFLX) after the close, while on Thursday we'll hear from Morgan Stanley (MS), which will be the last of the major banks and brokers to report next week. American Express (AXP), Coca-Cola (KO), and Schlumberger (SLB) will finish off the week with reports on Friday morning.
Of the key stocks reporting next week, Goldman (GS), Johnson & Johnson (JNJ), and UnitedHealth (UNH) beat EPS estimates the most often at more than 90% of the time. In terms of price reactions, Intuitive Surgical (ISRG) -- which reports on Thursday afternoon -- has historically reacted the most positively to earnings with an average one-day gain of 3.24%. Bank of America (BAC) has the weakest price reaction to earnings with an average one-day drop of 0.95%.
In terms of earnings volatility, Netflix (NFLX) takes the cake with an average absolute one-day change of 12.78% on its earnings reaction day.
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The following week (10/21-10/25) is when we'll really be in the heart of the Q3 reporting period. A large number of Dow 30 stocks will report that week, including big blue chips like McDonald's (MCD), United Tech (UTX), Procter & Gamble (PG), Boeing (BA), Caterpillar (CAT), Intel (INTC), and Microsoft (MSFT). The most important report of the week will come on Thursday the 24th when Amazon (AMZN) announces after the close. AMZN is currently expected to announce earnings of $7.19/share and revenues of $68.7 billion for the quarter. AMZN doesn't have an abnormally high EPS beat rate at just 62.5%, but it is typically a very volatile name as its average one-day move on earnings has historically been nearly +/-10%. Just think, a 10% move for AMZN is a $174 swing in either direction based on its current share price.
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Just like that, the S&P 500 Index fell more than 1% on the first day of October. The rough start has many investors on edge, as October is known for spectacular crashes—specifically 1929, 1987, and 2008.
On the flipside, September 2019 was historically calm for equity markets, as the S&P 500 didn’t fall 1% on a single day the entire month.
“The lack of any volatility in September could mean the usually volatile month of October could be due for some big swings,” said LPL Financial Senior Market Strategist Ryan Detrick. “The good news, though, is while October has had a bad rap for some big drops, over the past 20 years, it actually has been the third best month of the year for stocks.”
As shown in the LPL Chart of the Day, October has quietly been one of the strongest months of the year over the past 10 and 20 years. Going back to 1950, it ranks as the seventh strongest month of the year, so right near the middle of the pack.
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Four other things to consider: Since 1950, no month has had more 1% moves (higher or lower) than October. Since 1928, 6 of the 10 worst single-day drops have taken place in October; however, 3 of the 10 best days ever occurred in October as well. This is a pre-election year, and as the chart above shows, October’s average returns in a pre-election year have been muted since 1950. The catch here is that this average return is greatly impacted by the 21.8% drop in 1987. The median return is actually quite respectable. October has been higher during a pre-election year every year since 1999, with an average return of an impressive 6.5%.
- $NFLX
- $JPM
- $UNH
- $C
- $BAC
- $JNJ
- $GS
- $WFC
- $APHA
- $SCHW
- $ALLY
- $ABT
- $BLK
- $KO
- $PLD
- $UAL
- $PM
- $WIT
- $MS
- $IBM
- $AXP
- $FHN
- $FRC
- $URI
- $SLB
- $HON
- $CSX
- $PNC
- $UNP
- $TEAM
- $AA
- $USB
- $ISRG
- $ERIC
- $CCI
- $BK
- $ASML
- $JBHT
- $CMA
- $TSM
- $TXT
- $SNBR
- $BBT
- $MBWM
- $GPC
- $KMI
- $KEY
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Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Wednesday, October 16, 2019. The consensus earnings estimate is $1.05 per share on revenue of $5.25 billion and the Earnings Whisper ® number is $1.08 per share. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat The company's guidance was for earnings of approximately $1.04 per share. Consensus estimates are for year-over-year earnings growth of 17.98% with revenue increasing by 31.27%. Short interest has increased by 21.2% since the company's last earnings release while the stock has drifted lower by 12.6% from its open following the earnings release to be 15.3% below its 200 day moving average of $334.07. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 22,522 contracts of the $300.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 5.9% move in recent quarters.
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JPMorgan Chase & Co. (JPM) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $2.44 per share on revenue of $28.21 billion and the Earnings Whisper ® number is $2.48 per share. Investor sentiment going into the company's earnings release has 56% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.27% with revenue decreasing by 15.01%. Short interest has increased by 15.5% since the company's last earnings release while the stock has drifted higher by 2.3% from its open following the earnings release to be 7.1% above its 200 day moving average of $108.43. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, October 2, 2019 there was some notable buying of 6,413 contracts of the $105.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 3.2% move on earnings and the stock has averaged a 1.8% move in recent quarters.
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UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $3.75 per share on revenue of $59.96 billion and the Earnings Whisper ® number is $3.83 per share. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.97% with revenue increasing by 6.02%. Short interest has increased by 16.3% since the company's last earnings release while the stock has drifted lower by 16.4% from its open following the earnings release to be 8.7% below its 200 day moving average of $243.25. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, September 26, 2019 there was some notable buying of 4,631 contracts of the $215.00 call and 4,517 contracts of the $215.00 put expiring on Friday, October 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.
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Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $1.96 per share on revenue of $18.54 billion and the Earnings Whisper ® number is $2.00 per share. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 12.64% with revenue decreasing by 25.11%. Short interest has increased by 28.2% since the company's last earnings release while the stock has drifted lower by 2.3% from its open following the earnings release to be 7.0% above its 200 day moving average of $65.49. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, September 25, 2019 there was some notable buying of 15,719 contracts of the $70.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 4.2% move on earnings and the stock has averaged a 1.7% move in recent quarters.
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Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, October 16, 2019. The consensus earnings estimate is $0.68 per share on revenue of $22.11 billion and the Earnings Whisper ® number is $0.58 per share. Investor sentiment going into the company's earnings release has 53% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 3.03% with revenue decreasing by 20.67%. Short interest has increased by 12.1% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 1.1% below its 200 day moving average of $29.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, October 11, 2019 there was some notable buying of 14,791 contracts of the $29.00 put expiring on Friday, October 18, 2019. Option traders are pricing in a 3.9% move on earnings and the stock has averaged a 2.4% move in recent quarters.
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Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $2.00 per share on revenue of $20.05 billion and the Earnings Whisper ® number is $2.02 per share. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.44% with revenue decreasing by 1.46%. Short interest has increased by 0.3% since the company's last earnings release while the stock has drifted lower by 1.2% from its open following the earnings release to be 1.8% below its 200 day moving average of $133.79. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, October 2, 2019 there was some notable buying of 5,692 contracts of the $130.00 put expiring on Friday, November 15, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 1.8% move in recent quarters.
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Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:30 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $5.03 per share on revenue of $8.55 billion and the Earnings Whisper ® number is $5.14 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.90% with revenue decreasing by 1.11%. Short interest has increased by 14.2% since the company's last earnings release while the stock has drifted lower by 4.7% from its open following the earnings release to be 3.1% above its 200 day moving average of $198.59. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, September 25, 2019 there was some notable buying of 2,622 contracts of the $225.00 call expiring on Friday, November 15, 2019. Option traders are pricing in a 4.0% move on earnings and the stock has averaged a 3.3% move in recent quarters.
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Wells Fargo & Co. (WFC) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $1.15 per share on revenue of $20.79 billion and the Earnings Whisper ® number is $1.20 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 1.77% with revenue decreasing by 19.21%. Short interest has increased by 53.5% since the company's last earnings release while the stock has drifted higher by 5.3% from its open following the earnings release to be 3.7% above its 200 day moving average of $47.45. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 27, 2019 there was some notable buying of 25,513 contracts of the $55.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 3.4% move on earnings and the stock has averaged a 2.2% move in recent quarters.
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Aphria Inc. (APHA) is confirmed to report earnings at approximately 6:05 AM ET on Tuesday, October 15, 2019. The consensus estimate is for a loss of $0.02 per share on revenue of $103.90 million and the Earnings Whisper ® number is $0.00 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Short interest has increased by 26.0% since the company's last earnings release while the stock has drifted lower by 30.1% from its open following the earnings release to be 39.9% below its 200 day moving average of $7.84. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, October 10, 2019 there was some notable buying of 4,133 contracts of the $5.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 20.7% move on earnings and the stock has averaged a 20.3% move in recent quarters.
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Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Tuesday, October 15, 2019. The consensus earnings estimate is $0.65 per share on revenue of $2.66 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 3.14%. Short interest has decreased by 3.1% since the company's last earnings release while the stock has drifted lower by 9.1% from its open following the earnings release to be 12.7% below its 200 day moving average of $42.72. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, October 7, 2019 there was some notable buying of 8,694 contracts of the $36.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 4.6% move on earnings and the stock has averaged a 3.3% move in recent quarters.
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