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10 Secrets The Trading Industry Doesn’t Want You To Know About

Today’s lesson goes to be somewhat controversial and should ruffle some feathers. I shall blow wide open and debunk tons of the knowledge you've got presumably been exposed to the present far in your trading journey.
The average trader is out there walking through a confusing and conflicting maze of data from a spread of sources including; blogs, forums, broker websites, books, e-books, courses and YouTube videos.
With of these learning resources available there's naturally getting to be some excellent and a few very bad information, but actually , there just isn’t how for many aspiring traders to understand what to concentrate to, who to concentrate to, or what information is useful and what information is non-beneficial.
I’m not getting to pretend that there's how for an aspiring trader to filter this giant sea of data composed by of these resources and mentors out there, because there simply isn’t. knowledgeable trader with 10,000 hours of experience might stand an opportunity of deciding the great from the bad and therefore the valid from the invalid. However, you, the beginner or intermediate trader simply won’t possess that filtering ability yet.
Becoming ‘Non-Average’
As traders, we concede to our instinctive feelings of social trustworthiness supported what we see and listen to , often to our extreme detriment. we frequently tend to require a leap of religion with our mentors and have a habit of taking things said to us at face value. we would like to hold close information that resonates with us and is sensible to us, especially if it’s delivered by a well-known source that we've come to understand and trust.
The ‘average trader’s brain’ is usually trying to find a shortcut due to the overwhelming desire to form money and be free. The brain wants to urge a winning result immediately with the smallest amount amount of effort possible. If you would like to ever make it as a professional trader or investor, I suggest you are doing everything you'll to avoid thinking with the ‘average trader’s brain‘ and begin being ‘non-average’. meaning becoming far more aware, thinking outside the box more and questioning and filtering the knowledge you read and watch. most significantly , slowing everything all down!
This now begs the apparent question…how does one even know what I’m close to write during this lesson is actually valid and factual? How are you able to really be sure? the reality is unless you've got followed me and my posts on this blog for an extended time and know me and know my work, then you can’t really make certain , and that i don’t expect you to easily believe it at face value. If you would like to return back and re-read this lesson during a few weeks, or a couple of months, or a couple of years, after you work out that i'm somebody worth taking note of about trading OR that i'm somebody not worth taking note of about trading, then so be it.
So with a degree of healthy skepticism, I ask you to think about the below list of eye-opening secrets that professional traders and therefore the trading industry, don’t want you to understand about or understand. I hope it helps…
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FOREX isn’t the sole market the Professionals trade
The FX market is large , with billions of dollars per day changing hands. It can cause you to great money if you recognize what you’re doing OR it can send you broke if you don’t. It’s a really popular market to trade globally, BUT it’s not the sole market the professional’s trade and it’s not always the simplest market to trade either.
A note on leverage:
The brokers and platform providers want you to trade FX on high leverage because the profit margins are very high for them. However, if you trade FX on lower leverage, the profit margins shrink dramatically for them. once you trade FX, start brooding about what can fail rather than just brooding about what can go right. I suggest avoiding stupidly high leverage like 400 to 1, as this will be very dangerous for you if the market moves quickly or experiences a price gap and your stop-loss orders aren’t executed at the worth you set. A more sensible leverage level would be 100 to 1 or 200 to 1, but any higher seems crazy. (Using an excessive amount of leverage is what wiped tons of traders out during Swiss Bank Crisis in 2015, The Brexit choose 2016 and therefore the Currency flash crash in early 2019).
Broaden your view:
Going forward, it'll serve you well in your trading career to start out watching a spread of worldwide markets including FX, Stock Indicies and Commodities. additionally to FX, I personally trade GOLD (XAUUSD), S&P500 Index USA, the SPI200 Index Australia, and therefore the Hang Seng Index Hong Kong , and sometimes individual stocks on various global exchanges. In short, there's more to the trading world than simply FX. I discuss the foremost popular markets I trade this lesson here.
Day trading isn’t what Pro trading really is
The internet is crammed with marketing trying to convince folks that the definition of a trader may be a one that spends all day actively trading in and out of the market on a brief term basis, all whilst living the life-style of a Wall St millionaire. there's a significant agenda within the industry to push this story to the masses, it's been relentless for many years .
I am yet to satisfy one successful day trader who is consistent over the future and that i have almost 25,000 students and 250,000 readers on this blog. i'm not saying there isn’t a couple of out there, but 99.9% of the people that do this sort of trading or attempt to live up to the standard day trader stereotype are getting to fail and perhaps even harm themselves financially or mentally. Watching a screen all day and searching for trades constantly is that the like a compulsive gambler playing roulette during a casino.
The successful traders i do know of (myself included) are watching higher time frames and longer time horizons (minimum 4-hour chart timeframes and predominantly daily chart time frames). they need no restriction on how long they're looking to carry a trade for and that they tend to let the trades find them. The professionals i do know , don't day trade, they are doing not watch screens all day, they are doing not search for trades constantly. they're going to typically fall under the category of a swing trader, trend trader or position trader.
The obvious paradox and conflicting reality within the ‘day trader story’ is blatantly obvious. How does a trader who is consistently watching a screen and constantly trading have time to enjoy his life and live the lifestyle? They chose to trade as a profession to possess a life, they didn’t choose it to observe a screen 24/5.
Here are some points to think about that employment against the so-called ‘ day trader’:
The shorter the time-frame the more noise and random price movement there's , thus increasing your chance of simply being stopped out of the trade.
Your ‘trading edge’ features a higher chance of yielding a result for you if you’re not trading within the intraday noise.
The same trading edge doesn't work or produce an equivalent results on a 5 min chart compared to a Daily chart.
Commissions and spreads churn your account, therefore the more you trade the more you lose in broker platform costs. (I will mention this below)
Risk-Reward ratios aren't relative on shorter and longer time frames. Statistical average volatility across different time periods also as natural market dynamics play an enormous role during this . there's much more weight behind higher time frames than lower timeframes.
Great trades take time because the market moves slower than most of the people ever anticipate. Trading from the upper timeframes and holding trades for extended time periods will provide you with greater opportunities to ascertain trades mature into big winners. However, shorter timeframes don’t provide you with this same opportunity fairly often .
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Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you.

Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times
We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers:
It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be.
Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do.

Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases

Preparing for quantitative and qualitative releases

The majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP.
Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data.

A great resource that's totally free to use
This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down.
Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders.
For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend.
Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money.
Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show.
For example, here’s German Consumer Confidence.

Helpful context
There are also qualitative events. Normally these are speeches by Central Bankers.
There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.

Data surprise index

The other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic.
You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference.
If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative.

Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast
There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers.
When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish.
These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.

Using recent events to predict future reactions

The market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects?
That seems easy to answer but it is not.
Consider the example of consumer confidence we had earlier.
  • Many times the market will shrug and ignore it.
  • But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
  • If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
  • But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times.
One clue is to look at what happened to the price of risk assets at the last event.
For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then?

2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher
So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect.
Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.

Buy the rumour, sell the fact

A final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur.

Buy the rumour, sell the fact
In short: people take profit and close their positions when what they expected to happen is confirmed.
So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.

Trimming or taking off positions

One thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes.
Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions.

The price action before an event can tell you about speculative positioning
If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus.
But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.

Two kinds of reversals

Fairly often you’ll see the market move in one direction on a release then turn around and go the other way.
These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.

Logical reversals

Sometimes this happens when the data looks good at first glance but the details don’t support it.
For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers.
Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.

Crazy reversals


Some reversals don't make sense
Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth?
This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.

Some key releases

As we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.

Interest rates decisions

These can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate.
You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot.
A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower.
A central banker speaking is always a big event

Non farm payrolls

These are released once per month. This is another top-tier release that will move all USD pairs as well as equities.
There are three numbers:
  • The headline number of jobs created (bigger is better)
  • The unemployment rate (smaller is better)
  • Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event.
In general a positive response should move the USD higher but check recent price action.
Other countries each have their own unemployment data releases but this is the single most important release.

Surveys

There are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc.
Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here.
A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.

GDP

Gross Domestic Product is another big release. It is a measure of how much a country’s economy is growing.
In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time.
This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release.
In general a strong GDP number is good for the domestic currency.

Inflation

Countries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate.
See the FX fundamentals section for more details.

Industrial data

Things like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy.
These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels.
Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.

Comments

Often there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.

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Learn Using Forex Indicators the Right Way

When traders learn using indicators the right way, it can prove to be a valuable tool to make money in the forex market. There are many types of indicators available in the market and the parameters they measure are momentum, volatility, trend and volume. You can use one or more indicators to measure a single parameter.

Trend indicators and oscillators

Trend indicators can be used to spot reversals of the trend or can be used to spot support and resistance. Oscillator indicators move around a specific level or move between upper and lower level. Traders make use of these technical indicators to determine whether the market is overbought or oversold. This can enable the trader to get a good signal when the divergence is drawn between the price action and the oscillator.

The popular trend indicators include:

Bollinger bands,
channel,
Ichimoku Kinko Hyo,
moving average and
parabolic SAR.

Popular oscillator indicators include:

MACD (moving average convergence divergence),
momentum,
RSI (relative strength index),
RVI (relative vigor index) and
stochastic oscillator.
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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]

EUR/USD forecast: bulls won’t let the euro burst

EUUSD forecast: bulls won’t let the euro burst

Fundamental Euro forecast for today

Which bubble is bigger? The stock or the Forex market?

Market bubbles suggest rapidly rising prices, which attract the buyer hoping to earn quick money. Such buyers do not express due diligence or worry about the long-term prospects of what they buy. They ignore standard gauges as irrelevant, and the bubble goes bigger through cheap money. It looks familiar, doesn’t it? The rallies of the US stock indexes and the EUUSD more and more look like a bubble. The bulls, however, do not let it burst.
It took S&P500 just 126 trading days to go back to February highs and hit a new record high. It is the fastest stocks rally after the bear market, which, by the way, had lasted for 33 days, with an average value of 302 of the previous 22 downtrends since the 1920s. Besides, the P/E of the stocks included in the index is 22.6. It is the highest value since the dot-com crisis. But the standard gauges are ignored in bubbles, aren’t they? The market is far from reality. The US economic state is hardly the same as it was in February.
The S&P500 rally has, for a long time, supported the EUUSD bulls, but, now, they have different drivers. The stock indexes are growing amid the Fed’s support, which the euro is strengthening because of the GDP growth gap between the euro-area and the US. Remarkably, the volatility of the equity market and the Forex are now diverging. The US stocks are growing because of the cheap liquidity; the currency market is currently pricing the risks of the possibilities of the COVID-19 second wave in the euro area, the presidential election in the US, and the escalation of trade wars.


Source: Bloomberg
The EUUSD rally may also look like a bubble. The net longs on the euro held by the asset managers are the highest ever. The euro-area economy was hit by the pandemic stronger than the US, and the yields on the European securities is still low. After all, everything is relative. While Steven Mnuchin claims that the negotiations between the Democrats and the republicans are stalled, the EU governments are quick to implement mitigation measures. The spread between US and German real yields is as narrow as it was in 2014 last time. The appeal of the US securities is falling, and that of the euro-area assets is growing. Isn’t it a reason to buy the euro?

Dynamics of the spread between US and German real yields



Source: Bloomberg
According to Scotiabank, speculative dollar shorts are not excessive; they haven’t reached the level of 2017. The market has just started shorting on the greenback, so there is room to open more shorts. Société Générale notes, the US dollar’s rate, in real terms, is still 25% higher than the levels of 2011, and the Fed is still willing to depreciate the dollar. Is the EUUSD a bubble? I do not think so. My strategy is to hold the euro longs and add up on the price falls. While the price is above 1.183, bulls control the market.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/eurusd-forecast-bulls-wont-let-euro-burst/?uid=285861726&cid=79634
submitted by Maxvelgus to Finance_analytics [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
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When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
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Why you should invest in GOLD Token as your stable coin

Why you should invest in GOLD Token as your stable coin
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https://preview.redd.it/ws6ew5jopvt41.jpg?width=275&format=pjpg&auto=webp&s=364919963c21f43d70aeac0c3a86e3de65737fb2
The tokenization of Gold on Ethereum stage, an ERC-20 primarily based token, has added a fantastic open door for monetary professionals, who're searching out a sincere approach to purchase gold bullion bars and stable Digital sources.
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The relative stability in the rate of gold and the way it may serve the cryptocurrency market

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https://preview.redd.it/e6q442qrpvt41.jpg?width=299&format=pjpg&auto=webp&s=218da748e7f88331573fc8ce393256e113cfbdaf
Why you should buy GOLD
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https://preview.redd.it/vr275g1wpvt41.jpg?width=275&format=pjpg&auto=webp&s=328a9be5b8c7ad49ea58a13a7db135c163122f13
Conclusion
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Author:
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https://bitcointalk.org/index.php?action=profile;u=1942787
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Wall Street Week Ahead for the trading week beginning May 27th, 2019

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market this past week, and are ready for the new holiday-shortened trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning May 27th, 2019.

Trade and the economy have become the new roller coaster for markets - (Source)

Trade headlines could be a big factor for markets in the week ahead, but investors will also be attuned to fresh inflation data and moves in the bond market, which is flashing new worries about the economy.
Stocks were on a roller coaster ride in the past week, as markets reacted to worsening trade tensions and concerns that negotiations could be prolonged, causing pain for the global economy. But the bond market’s move was perhaps even more dramatic, as yields, which move opposite of price, fell to levels last seen in 2017, and the futures market began to price in three Fed interest rate cuts by the end of next year.
“There’s not a lot of economic data next week, so events hang over us,” said Marc Chandler, chief global strategist at Bannockburn Global Forex. “It’s more about the evolution of old issues than new issues, like trade and Brexit.”
Brexit will continue to be a focus in global markets. U.K. Prime Minister Theresa May stepped aside Friday after failing to get agreement on a plan for the U.K. to leave the European Union. Chandler said investors will be watching the jockeying among candidates hoping to succeed Prime Minister May, with hard line Brexit proponent Boris Johnson expected to seek the job, among others.
As for trade, Chandler said it’s possible that President Donald Trump’s comments that Huawei could be part of a trade deal may be the start of a new approach by the administration to tone down its rhetoric. The telecom giant has been blacklisted by the U.S. and is expected to be denied access to U.S. components for its equipment.
“In some ways, it’s a headline problem. We think of it more as event risk,” said Nadine Terman, CEO and CIO at Solstein Capital. “China thinks in dynasties and U.S. investors seem to think in durations of days and months, so I think we are misunderstanding the duration of their negotiating strategy.”
She said the issues between the two countries go way beyond trade and extend to China’s military aspirations in the South China Sea and its global campaign of influence through the Belt and Road initiative, Chinese President Xi Jinping’s signature program.
“It’s now become more nationalistic, emotional, to say: ‘We’re going against the U.S. and we’ve got to be in it for the long haul.’ I don’t think you have the same emotion here in the U.S. You don’t have the same nationalistic pride to say ‘we have to fight China at all cost,’” she said.
In the past week, Wall Street increasingly began to expect the Trump administration to turn up the pressure on China with another wave of 25% tariffs on the $300 billion or so in goods remaining that have no tariffs. Those tariffs would directly hit American consumer goods and are expected to take a bigger bite out of the economy.
Fears of a trade war hurting global growth and concerns that the U.S. is already beginning to weaken were evident in the bond market. Treasury yields reflected lowered growth expectations. The 10-year hit a low of 2.29% on Thursday and was at 2.32% Friday.
J.P. Morgan economists Friday downgraded their view of the economy, slicing second quarter growth to just 1% from an earlier forecast of 2.25% and first quarter growth of 3.2%. The economists blamed weak U.S. manufacturing data and said risks were signs of weakness in the global economy and also indications that the trade war was hurting business sentiment.
“The concerns the markets have right now are that we’re moving towards a worst case scenario, and that could persist for quite some time,” said Mark Cabana, head of U.S. short rate strategy at Bank of America Merrill Lynch. “If that’s the case, then the market is believing economic data, and the Fed will likely need to respond to that by trying to offset and prevent a recession.”
The most important data point in the coming week will be Friday’s personal consumption expenditures, which includes the PCE deflator inflation data that the Fed monitors. It was at 1.6% year-over-year last month, and is expected to be the same for April, well below the Fed’s target of 2% inflation.
Inflation has become a key focus on Wall Street, particularly after Fed Chair Jerome Powell said low inflation appears to be transitory and not enough of a concern to make the Fed cut interest rates. Powell and other Fed officials have stressed the Fed is pausing in its rate hiking cycle, is monitoring the economy and does not yet know which way it will move next.
Solstein Capital’s Terman said she is watching the PCE inflation report to see if it confirms her view that inflation and the economy will be weaker this summer.
She also expects the markets to be choppy, and by late summer, around its annual Jackson Hole symposium, the Fed could indicate it could cut interest rates.
“People are going to start getting even more concerned this summer about the U.S.,” Terman said.
Terman said she has been positioned for lower inflation and slower GDP growth with key holdings in utilities, REITs, Treasurys and gold.
“What would do well this summer? Staples, utilities, health care, REITs. You want fixed income. You want to be underweight tech, energy, financials and industrials,” she said.
There is also home prices data Tuesday and advanced economic indicators Thursday. That comes in addition to a few earnings reports, including Costco, Ulta Beauty and Dollar General.
Markets will also be watching the outcome of European parliamentary elections, and if there is a strong showing by populists, there could be a negative impact on the euro and risk assets.

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!)

S&P 500 Down Four Straight Day After Memorial Day

Our office will be closed for observance of Memorial Day on Monday, May 27. U.S stock and bond markets will also be closed. As you spend some quality time off with family and friends please take time to commemorate those who have paid the ultimate price while serving in the U.S. military.
For decades the Stock Trader’s Almanac has been tracking and monitoring the market’s performance around holidays. The trading day after Memorial Day has a mixed record going back to 1971. Both S&P 500 and NASDAQ have declined more often than risen on the day, but average performance is still positive. Since 1986, the frequency of gains has improved, and average performance has also risen however, over the last four years S&P 500 has declined. The second trading day after Memorial Day has since more advances than declines, but average performance is negative for NASDAQ. The third day after appears to have the best long- and short-term record combined with solid average performance.
(CLICK HERE FOR THE CHART!)

The Bespoke Report - It's All Relative

Hut, Hut, Cut! With weaker economic data to contend with this week on both a domestic and international basis, plus escalating tensions between the US and China, investors are increasingly pricing in a higher likelihood of rate cuts from the FOMC before the year is out. Through mid-day Friday, the Fed Fund futures market was pricing in over an 85% chance of a rate cut between now and the January 2020 meeting. Those are the kind of odds that would make James Holzhauer say "All in."
(CLICK HERE FOR THE CHART!)

Fed Members Side With “Transitory” Inflation

Investors just got more details on Federal Reserve (Fed) policymakers’ views of inflation.
Minutes of the Fed’s most recent meeting, which ended May 1, showed that “many participants” considered slowing consumer inflation as “transitory,” and agreed that the Fed’s current patient approach should help stoke economic growth and inflation. Policymakers’ optimistic view on inflation runs counter to a growing opinion in financial markets that slowing growth in core personal consumption expenditures (PCE) could warrant lower rates.
Markets think the grace period for a “transitory” excuse has passed, but data show it’s too soon to tell. Another measure of inflation, the Fed Bank of Dallas’s “trimmed mean” PCE measure, points to higher pricing pressures ahead. As shown in the LPL Chart of the Day, the trimmed mean PCE, which has proven to be a less volatile version of core PCE, has hit 2% year-over-year growth for the past several months.
(CLICK HERE FOR THE CHART!)
“It’s tough to make a case for lower rates with over 3% gross domestic product growth, healthy wage growth, and a labor market close to full employment,” said LPL Research Chief Investment Strategist John Lynch. “If consumer inflation picks up, the U.S. economy will be near full employment with healthy inflation across the board, fulfilling the Fed’s dual mandate.”
Of course, much has happened on the global front since the Fed’s last meeting. Trade tensions have flared up again, with the United States raising tariff rates on $200 billion of Chinese imports and threatening to increase rates on the remaining swath of goods. Logically, tariffs should be a catalyst for higher consumer inflation, as higher costs should boost price growth. However, the opposite has happened over the past few months, and there are several factors to consider when thinking about future inflation.
Overall, we don’t see a strong argument for a rate cut right now, and we side with the Fed in thinking consumer inflation could pick up as wage growth accelerates and growth stabilizes. At the very least, it’s becoming more obvious the Fed doesn’t have enough clarity to move policy in either direction.

Another Reason For Bulls To Smile

The S&P 500 Index has officially gained each of the first four months of the year for the first time since 2013. This comes on the heels of the best first quarter since 1998. Six straight months in green has been the best monthly win streak to start a year, and that last happened in 1996.
Starting a year with strength like this historically has been a good sign, even though stocks in May saw a nearly 5% correction.
“Although we wouldn’t be surprised to see continued volatility over the coming months, the good news is a great start to a year has had a funny way of eventually resolving higher,” explained LPL Senior Market Strategist Ryan Detrick. “In fact, the rest of the year has been higher an incredible 14 out of 15 times after the first four months were in the green!”
As our LPL Chart of the Day shows, the S&P 500 returns the rest of the year (final 8 months) have been more than twice as strong as the average year returns—10% versus 4.7%—following four straight monthly gains to kick off a new year. There’s always a catch though, and in this case we’ve seen an average pullback of more than 8% the rest of the year.
(CLICK HERE FOR THE CHART!)

Earnings Season Takeaways

We consider earnings season a success based on the amount of upside to prior estimates generated by S&P 500 Index companies despite several headwinds. Companies handily beat expectations to get first quarter earnings up to flat, as shown in the LPL Chart of the Day.
(CLICK HERE FOR THE CHART!)
When earnings season began in mid-April, consensus estimates called for a 4–5% drop in S&P 500 earnings, according to FactSet data. Beating results by this much is impressive considering persistent trade uncertainty and the drag on overseas profits from a strong U.S. dollar. Also consider that the median stock in the S&P 500 has grown earnings several percentage points faster because a few large companies are dragging down the market-cap-weighted calculation.
Resilient estimates are also encouraging. Since April 15, the 2019 consensus estimate for S&P 500 earnings per share has risen slightly to $168 (a 4% year-over-year increase). We consider that a win given that estimates typically fall during earnings season.
“Escalating trade uncertainty and the threat of more tariffs are huge wild cards for corporate profits,” said LPL Chief Investment Strategist John Lynch. “We are hopeful that significant progress can be made on the trade front next month, when President Trump and China’s President Xi are expected to meet at the G20 summit. A prolonged impasse that lasts through the summer would make mid-single-digit earnings growth difficult to achieve in 2019.”
Our base case remains that we will get a trade deal with China early this summer and consensus expectations for 3–4% earnings growth may prove to be conservative. Earnings are hardly booming, but with a continued economic expansion, low inflation, and low interest rates, we see enough earnings growth ahead to push stocks up to our year-end S&P 500 fair value target of 3,000—though it probably won’t get there in a straight line.

Pre-election Year June: Tech and Small-caps Best

June has shone brighter on NASDAQ stocks over the last 48 years as a rule ranking eighth with a 0.6% average gain, up 26 of 48 years. This contributes to NASDAQ’s “Best Eight Months” which ends in June. June ranks near the bottom on the Dow Jones Industrials just above September since 1950 with an average loss of 0.3%. S&P 500 performs similarly poorly, ranking tenth, but essentially flat (–0.02% average). Small caps also tend to fare well in June. Russell 2000 has averaged 0.6% in the month since 1979.
In pre-election years since 1950, June ranks no better than mid-pack. June is the #8 DJIA month in pre-election years averaging a 0.8% gain with a record of nine advances in seventeen years. For S&P 500, June is #5 with an average gain of 1.2% (10-7 record). Pre-election year June ranks #6 for NASDAQ and #7 for Russell 2000 with average gains of 1.9% and 1.1% respectively. Recent pre-election year Junes in 2015, 2011 and 2007 were troublesome for the market as DJIA, S&P 500 and NASDAQ all declined (Russell 2000 eked out a modest gain in 2015).
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STOCK MARKET VIDEO: Stock Market Analysis Video for May 24th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 05.26.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NIO
  • $MOMO
  • $GOOS
  • $COST
  • $PANW
  • $ZS
  • $OKTA
  • $WDAY
  • $NTNX
  • $ULTA
  • $DKS
  • $VEEV
  • $ANF
  • $BZUN
  • $DG
  • $DLTR
  • $BNS
  • $YY
  • $MRVL
  • $ASND
  • $CSIQ
  • $CPRI
  • $BAH
  • $BURL
  • $VMW
  • $AMWD
  • $KEYS
  • $ZUO
  • $BMO
  • $PLAN
  • $JT
  • $HEI
  • $GPS
  • $NXGN
  • $PVH
  • $QTNT
  • $NM
  • $EXPR
  • $SAFM
  • $BITA
  • $CMCO
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
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 5.27.19 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Monday 5.27.19 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Tuesday 5.28.19 Before Market Open:

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

Tuesday 5.28.19 After Market Close:

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

Wednesday 5.29.19 Before Market Open:

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

Wednesday 5.29.19 After Market Close:

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

Thursday 5.30.19 Before Market Open:

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

Thursday 5.30.19 After Market Close:

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

Friday 5.31.19 Before Market Open:

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

Friday 5.31.19 After Market Close:

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

NIO Inc. $3.86

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat The company's guidance was for revenue of $202.00 million to $220.00 million. Short interest has increased by 127.4% since the company's last earnings release while the stock has drifted lower by 53.3% from its open following the earnings release. On Friday, May 17, 2019 there was some notable buying of 20,289 contracts of the $4.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 16.5% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Momo Inc. $26.02

Momo Inc. (MOMO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.54 per share on revenue of $533.07 million and the Earnings Whisper ® number is $0.57 per share. Investor sentiment going into the company's earnings release has 56% expecting an earnings beat The company's guidance was for revenue of $529.00 million to $544.00 million. Consensus estimates are for earnings to decline year-over-year by 21.74% with revenue increasing by 22.51%. Short interest has decreased by 3.1% since the company's last earnings release while the stock has drifted lower by 27.9% from its open following the earnings release to be 25.6% below its 200 day moving average of $34.98. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, May 10, 2019 there was some notable buying of 2,208 contracts of the $30.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 13.3% move on earnings and the stock has averaged a 13.0% move in recent quarters.

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Canada Goose Holdings Inc. $47.89

Canada Goose Holdings Inc. (GOOS) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $0.02 per share on revenue of $118.39 million and the Earnings Whisper ® number is $0.06 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 71.43% with revenue increasing by 19.86%. Short interest has increased by 24.8% since the company's last earnings release while the stock has drifted lower by 19.9% from its open following the earnings release to be 18.7% below its 200 day moving average of $58.93. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 11.1% move on earnings and the stock has averaged a 15.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Costco Wholesale Corp. $247.30

Costco Wholesale Corp. (COST) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $1.83 per share on revenue of $34.80 billion and the Earnings Whisper ® number is $1.84 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 7.65% with revenue increasing by 7.54%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 9.7% from its open following the earnings release to be 9.2% above its 200 day moving average of $226.54. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, May 14, 2019 there was some notable buying of 3,428 contracts of the $250.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 4.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Palo Alto Networks, Inc. $216.26

Palo Alto Networks, Inc. (PANW) is confirmed to report earnings at approximately 4:15 PM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $1.25 per share on revenue of $703.44 million and the Earnings Whisper ® number is $1.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for earnings of $1.23 to $1.25 per share on revenue of $697.00 million to $707.00 million. Consensus estimates are for year-over-year earnings growth of 20.19% with revenue increasing by 24.04%. Short interest has decreased by 8.1% since the company's last earnings release while the stock has drifted lower by 16.2% from its open following the earnings release to be 1.2% above its 200 day moving average of $213.65. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, May 16, 2019 there was some notable buying of 1,160 contracts of the $237.50 call expiring on Friday, June 7, 2019. Option traders are pricing in a 8.4% move on earnings.

(CLICK HERE FOR THE CHART!)

Zscaler, Inc. $73.76

Zscaler, Inc. (ZS) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $0.01 per share on revenue of $74.54 million and the Earnings Whisper ® number is $0.03 per share. Investor sentiment going into the company's earnings release has 77% expecting an earnings beat The company's guidance was for earnings of approximately $0.01 per share on revenue of $74.00 million to $75.00 million. Consensus estimates are for year-over-year earnings growth of 116.67% with revenue increasing by 51.62%. Short interest has decreased by 8.0% since the company's last earnings release while the stock has drifted higher by 28.3% from its open following the earnings release to be 50.6% above its 200 day moving average of $48.98. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, May 20, 2019 there was some notable buying of 1,380 contracts of the $72.50 put expiring on Friday, June 7, 2019. Option traders are pricing in a 13.6% move on earnings and the stock has averaged a 16.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Okta, Inc. $109.63

Okta, Inc. (OKTA) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.21 per share on revenue of $116.66 million and the Earnings Whisper ® number is ($0.17) per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat The company's guidance was for a loss of $0.22 to $0.21 per share on revenue of $116.00 million to $117.00 million. Consensus estimates are for earnings to decline year-over-year by 133.33% with revenue increasing by 39.51%. Short interest has increased by 33.4% since the company's last earnings release while the stock has drifted higher by 46.6% from its open following the earnings release to be 48.1% above its 200 day moving average of $74.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, May 21, 2019 there was some notable buying of 1,003 contracts of the $90.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 10.9% move on earnings and the stock has averaged a 8.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Workday, Inc. $210.72

Workday, Inc. (WDAY) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.41 per share on revenue of $814.68 million and the Earnings Whisper ® number is $0.44 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $812.00 million to $814.00 million. Consensus estimates are for year-over-year earnings growth of 7.89% with revenue increasing by 31.69%. Short interest has decreased by 12.5% 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 27.6% above its 200 day moving average of $165.20. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, May 23, 2019 there was some notable buying of 1,587 contracts of the $235.00 call expiring on Friday, June 21, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 25.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Nutanix, Inc. $35.14

Nutanix, Inc. (NTNX) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.60 per share on revenue of $296.48 million and the Earnings Whisper ® number is ($0.58) per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat The company's guidance was for a loss of approximately $0.60 per share on revenue of $290.00 million to $300.00 million. Consensus estimates are for earnings to decline year-over-year by 185.71% with revenue increasing by 2.44%. Short interest has increased by 59.1% since the company's last earnings release while the stock has drifted lower by 4.4% from its open following the earnings release to be 20.5% below its 200 day moving average of $44.18. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, May 15, 2019 there was some notable buying of 5,000 contracts of the $40.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 15.3% move on earnings and the stock has averaged a 11.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ULTA Beauty $335.09

ULTA Beauty (ULTA) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $3.06 per share on revenue of $1.74 billion and the Earnings Whisper ® number is $3.10 per share. Investor sentiment going into the company's earnings release has 87% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.35% with revenue increasing by 12.72%. Short interest has increased by 16.3% since the company's last earnings release while the stock has drifted higher by 2.2% from its open following the earnings release to be 14.1% above its 200 day moving average of $293.81. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 7.7% move on earnings and the stock has averaged a 6.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
I hope you all have a fantastic Memorial Day weekend with family and friends, and a great trading week ahead wallstreetbets! :)
submitted by bigbear0083 to wallstreetbets [link] [comments]

What impact does NFP have on the forex market?

Nonfarm payroll employment is a compiled name for goods, construction and manufacturing companies in the US. It does not include farm workers, private household employees, or non-profit organization employees.
It is an influential statistic and economic indicator released monthly by the United States Department of Labor as part of a comprehensive report on the state of the labor market.
The Bureau of Labor Statistics releases data on the first Friday of the month, at 8:30 a.m. Eastern Time.
This data is analyzed closely because of its importance in identifying the rate of economic growth and inflation.
Nonfarm payroll is included in the monthly Employment Situation or informally the jobs report and affects the US dollar, the Foreign exchange market, the bond market, and the stock market.
The markets react very quickly and most of the time in a very volatile fashion around the time the NFP data is released. The short-term market moves indicate that there is a very strong correlation between the NFP data and the strength of the US dollar. Historical price movement data shows a small negative correlation between the NFP data and the US dollar Index.
The figure released is the change in nonfarm payrolls (NFP), compared to the previous month, and is usually between +10,000 and +250,000 during non-recessional times. The NFP number is meant to represent the number of jobs added or lost in the economy over the last month, not including jobs relating to the farming industry.
As with other indicators, the difference between the actual non-farm data and expected figures will determine the overall impact on the market. If the non-farm payroll is expanding, this is a good indication that the economy is growing, and vice versa. However, if increases in non-farm payroll occur at a fast rate, this may lead to an increase in inflation. In forex, the level of actual non-farm payroll compared to payroll estimates is taken very seriously. If the actual data comes in lower than economists' estimates, forex traders will usually sell U.S. dollars in anticipation of a weakening currency. The opposite is true when the data is higher than economists' expectations.
submitted by top1markets to u/top1markets [link] [comments]

What is the most reliable forex indicator?

Here i have given a brief explanation about Forex indicator. This will help you to get basic knowledge about this. If it is also not clear then don’t hesitate to Learn about MT4 indicators .You will get more information there, There are thousands of indicators that are used to find opportunities in the market and profit from them. However, most of them do not give good signals and will get you in the market late. In this article we will present several indicators which are the most accurate and give the biggest trading edge. 1584890638387.png The Bollinger Bands: The Bollinger Bands were developed 20 years ago by John Bollinger, and were designed to show the volatility of the market on the screen in an easy-to-comprehend manner. They give very good signals and can be used as support\resistance indicators, telling us - before the move occurs - that a reversal is prone to happen. When price touches the lower band it is oversold, and when price touches the upper band it is overbought. The trading method for the Bollinger Bands is basically to look for price-action support and resistance levels, and confirm them with bounces on the Bollinger Bands themselves. This results in very high win rate and consistent profits. The Relative Strength Index (RSI): The Relative Strength Index was developed 30 years ago by J. Welles Wilder, and is considered a powerful trading indicator that also has a predictive edge in the markets. It tells us when the price is overbought\oversold before the trends begin, so we can enter early and have great reward with little risk. The signals it gives are usually very accurate, and if confirmed using the Thomas DeMark mild bounce system it can even reach 70-80% win rate (depending on the timeframe). It is a very accurate indicator that we highly recommend. Simple Moving Average: The Simple Moving Average, or the SMA, is an interesting trading indicator that most traders do not use in the right way. Most traders use it as a trend-following indicator to enter trades after a trend has been established, however we use it in an entirely different way. The most accurate and predictive way to use the SMA is in the bounce method: we wait for trend to establish, but instead of randomly entering, we wait for price to retrace to the moving average and bounce off it. Once a reversal signal is given we enter a trade in the direction of the trend with stop loss right below the moving average, thus entering at a tactical point with small stop loss and huge reward. The 3 indicator described above are the most accurate indicators for trading Forex and stocks, and have proven themselves in countless opportunities.
submitted by Rongpure1 to u/Rongpure1 [link] [comments]

What impact does NFP have on the forex market?

What impact does NFP have on the forex market?
Nonfarm payroll employment is a compiled name for goods, construction and manufacturing companies in the US. It does not include farm workers, private household employees, or non-profit organization employees.

https://preview.redd.it/7xp41ft401a51.jpg?width=750&format=pjpg&auto=webp&s=467c40fa530f23c5a425c3aa449b3e306a027381
It is an influential statistic and economic indicator released monthly by the United States Department of Labor as part of a comprehensive report on the state of the labor market.
The Bureau of Labor Statistics releases data on the first Friday of the month, at 8:30 a.m. Eastern Time.
This data is analyzed closely because of its importance in identifying the rate of economic growth and inflation.
Nonfarm payroll is included in the monthly Employment Situation or informally the jobs report and affects the US dollar, the Foreign exchange market, the bond market, and the stock market.
The markets react very quickly and most of the time in a very volatile fashion around the time the NFP data is released. The short-term market moves indicate that there is a very strong correlation between the NFP data and the strength of the US dollar. Historical price movement data shows a small negative correlation between the NFP data and the US dollar Index.
The figure released is the change in nonfarm payrolls (NFP), compared to the previous month, and is usually between +10,000 and +250,000 during non-recessional times. The NFP number is meant to represent the number of jobs added or lost in the economy over the last month, not including jobs relating to the farming industry.
As with other indicators, the difference between the actual non-farm data and expected figures will determine the overall impact on the market. If the non-farm payroll is expanding, this is a good indication that the economy is growing, and vice versa. However, if increases in non-farm payroll occur at a fast rate, this may lead to an increase in inflation. In forex, the level of actual non-farm payroll compared to payroll estimates is taken very seriously. If the actual data comes in lower than economists' estimates, forex traders will usually sell U.S. dollars in anticipation of a weakening currency. The opposite is true when the data is higher than economists' expectations.
submitted by top1markets to u/top1markets [link] [comments]

Wall Street Week Ahead for the trading week beginning July 22nd, 2019

Good morning and happy Saturday to all of you here on wallstreetbets. I hope everyone on this subreddit made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning July 22nd, 2019.

Week ahead: Earnings, GDP expected to show sluggish growth as investors await rate cut - (Source)

Sluggish economic and earnings growth will be a theme in markets in the week ahead, as investors await a Fed interest rate cut at the end of the month.
More than a quarter of the S&P 500 companies report earnings in the coming week, the second big week of the second quarter reporting season. FAANG names, like Alphabet and Amazon, and blue chips from McDonald’s to Boeingand United Technologies are among the more than 130 companies reporting.
There is also some key economic data, including Friday’s second quarter GDP, which should show a slowing to 1.8% from the first quarter’s 3.1% pace, according to Refinitiv. On Thursday, durable goods are reported and will include an update on businesses investment. There are also existing home sales Tuesday, new home sales Wednesday and advance economic indicators Thursday.
But there will be no Fed speakers, after a parade of central bank officials in the past week, including Fed Chair Jerome Powell. The most impactful comments, however, came Thursday from New York Fed President John Williams, who set off a debate about how much the Fed could cut rates at its July 30-31 meeting — 25 or 50 basis points.
Even as the New York Fed later said Williams comments were not about current policy, market pros took heed of his words about how central bankers should “act quickly.”
Fed dominates Fed officials do not speak publicly in the days ahead of policy meetings, but market pros will find plenty to debate. Fed funds futures were predicting a 43% chance of a 50 basis point cut in July, after shooting as high as 70% Thursday afternoon.
“For sure, the Fed is going to dominate for next week. I think we’ll get at least a 25 basis point cut. I’m thinking we’re not going to get 50 basis point cut...The Fed has been burned when it’s been bold,” said Tony Roth, chief investment officer at Wilmington Trust.
Roth said he believes the market is already pricing in a quarter-point cut, and he does not see the Fed’s rate cut as much of a longer-term catalyst for stocks. If it trims by a half percentage point, he expects just a short-term pop.
Economists believe the Fed will cut interest rates even though recent data has improved. That’s in part because Powell has stressed the Fed is focused on the global economic slowdown, trade wars and low inflation, and that it will do what it takes to keep the economy expanding.
“The only real catalyst that would really help the market would be if there was a trade deal with China,” Roth said. “I think the likelihood of that is less than > 10%. We’re very pessimistic on the possibility of a real deal with China prior to the [2020 presidential] election.”
So, in the void ahead of the Fed’s meeting, the market will be watching earnings. As earnings rolled out this past week, stocks took a rest from their record-setting streak, as some companies lowered forecasts and most beat earnings and revenue estimates.
As of Friday morning, 77% of the roughly 80 companies reporting had beaten earnings estimates, and 65% topped revenue forecasts, according to Refinitiv. Based on actual reports and forecasts, earnings per share for the S&P companies are expected to be up 1% in the second quarter. That is up from expectations that the profit growth would be slightly negative this quarter.
“If you look at the numbers, we’re above the averages for top and bottom line beats, but at the same time when you look at revisions, every day we’re getting revisions for third and fourth quarter, and they’re coming down.There’s a real worry of an earnings recession, when you get out into the third and fourth quarter and out to next year,” Roth said.
Roth said he’s currently neutral on risk assets, and he sees a slowdown brewing in the smallest U.S. companies that could spread up the food chain.
“We do see those fundamental cracks in the economy in small business and the small business labor market, and on top of that you have these big macro risks out there,” such as trade and the upcoming election, Roth said.
Slower economy As earnings growth was muted in the second quarter, so was the pace of economic gains. If growth comes in as expected, it would be the first quarter where growth was under 2% since the first quarter of 2017. Economists are watching to see how consumer spending fared in the quarter, after a recent pickup and also whether business inventories are declining.
“The data we need is not Q2. What’s at risk is the growth and magnitude of the Fed rate cut. I don’t think Q2 is going to have much impact on the Fed’s thinking,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “It’s really how Q3 is progressing. It seems to me the economy softened in April and May and picked up in June with jobs data, retail sales and manufacturing sector.”
Chandler said investors will also be focused on the European Central Bank, which some economists believe could cut its overnight deposit rate to negative 0.5% from negative 0.4% currently when it meets Thursday. Chandler said odds are about 50% for the rate cut, which many also expect in September.
“While we’re waiting for the Fed to figure out whether it’s 25 or 50 basis points, and we’re waiting for the ECB to get all its forms sorted out ... the emerging markets are pushing ahead,” said Chandler, noting Russia and Turkey could cut rates in the next several days, after similar moves in the past week by South Africa, South Korea and Indonesia.
“It just makes the story more global. You’re seeing the trade numbers from China, Japan, Singapore and South Korea weaken. You’re seeing exports form China suffer. Exports from all of Asia are suffering,” he said. “The big surprise for China and Japan has also been on the import side. The declines in their imports is really someone else’s [drop in] exports.”
Rate cuts and currency wars Dollar strength has been a consequence of the trade war, and Fed action could help turn it around.
“If the Fed fails to move, you’re going to end up with an increasingly stronger dollar,” which impacts corporate earnings, Roth said.
“The dollar is quite strong and is increasingly going to be a headwind for U.S. companies. It hasn’t appreciated that much in 12 months, but if we see a divergence in monetary policy between the U.S. and the rest of the world, you would see a carry trade develop where people would want to buy assets in the U.S.,” he said.
The dollar index was slightly higher on the week, but Wall Street has been focused on President Donald Trump’s negative comments on the currency’s strength. As Trump has criticized the Fed, he also complains that other central banks manipulate their currencies to give them an edge in trade. Trump has said the Fed should already be cutting rates, something it hasn’t done since December 2008.
A number of Wall Street strategists have said they now believe it is possible that the U.S. government could intervene to weaken the dollar, but that would be unlikely.

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 next month:

(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!)

Lagging Small-caps: Seasonal and Economic Factors Weigh

Small-caps measured by the performance of the Russell 2000 have been lagging since mid-March with the gap in performance widening in June and continuing into July. At yesterday’s close the Russell 2000 was up 15.35% year-to-date compared to a gain of 19.87% for the Russell 1000. Based upon historical trends this is not unusual for this time of the year nor during times when U.S. economic data is mixed.
In the following chart the one-year seasonal pattern of the Russell 2000/Russell 1000 has been plotted (solid black line with grey fill) along with 2019 year-to-date (blue line). This chart is similar to the chart found on page 110 of the 2019 Stock Trader’s Almanac. When the lines are rising small-caps are outperforming, when the lines are falling small-caps are lagging. Small-caps exhibited typical seasonal strength during the first quarter but have been fading ever since. In some years, small-cap strength can last until mid-June however, that is not the case this year. Going forward, small-cap underperformance is likely to persist until early in the fourth quarter with possible a hint of strength at the end of August.
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Robust Summer Rallies Trim Fall Pullbacks

It’s usually about this time of the year, when trading volumes begin to slump and markets meander that we begin to hear talk of the infamous “Summer Rally” featured on page 74 of the Stock Trader’s Almanac 2019. The “Summer Rally” is usually the weakest seasonal rally of them all.
We looked at the current Summer Rally and found it to be above average already, up 10.2% from the Spring low on May 31, and that does portend well for the Summer and Fall Corrections. We lined up the Summer Rallies ranked from weakest to strongest since 1964. Over the past 55 years prior to this year DJIA has rallied and average of 9.1% from its May/June low until its Q3 high. The Fall Rally averages 10.9% and the Summer and Fall Corrections average a loss of just under 9% for a net average gain of a few percentage points over the summer and fall.
As shown in the table below, when the Summer Rally is greater than or equal to the 55-year 9.1% average, the summer and fall correction tend to be bit milder, -6.2% and -8.2%, respectively. Summer Rally gains beyond 12.5% historically had the smallest summer and fall corrections. One prominent exception being 1987.
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Earnings (and Guidance) Likely to Make or Break the Rally

Once again today, DJIA, S&P 500 and NASDAQ closed at new all-time highs. With today’s modest gains, DJIA is up 17.3% year-to-date. S&P 500 is even better at 20.2% while NASDAQ is still best at 24.5%. Compared to historical average performance in pre-election years at this time of the year, DJIA and S&P 500 are comfortably above average. NASDAQ’s impressive 24.5% gain is just average (since 1971). NASDAQ’s Midyear Rally delivered again, but officially ended last Friday. The seasonal pattern charts, above and below, along with July’s typical performance over the last 21 years suggest further gains during the balance of July and the third quarter could be limited. For the market to make meaningful gains in the near-term earnings will need to decent and forward guidance will also need to be firm.
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"We Don't Need Your Stinking Data"

Yesterday was another one of those days that makes you scratch your head. In a relatively busy day for economic data, Initial Jobless Claims came in within 25K of a 50-year low, and the Philly Fed Manufacturing report saw its largest m/m increase in a decade. That follows other data last week where Retail Sales were very strong and CPI and PPI both came in ahead of consensus forecasts. The trend of better than expected data since the June employment report on July 5th is reflected in recent moves of the Citi Economic Surprise Index which has rallied from -68.3 up to -41.5. Granted, it’s still negative, but what was looking like a real dismal backdrop for the economy just three weeks ago seems to be showing signs of improvement.
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On top of the economic data, two notable interviews from FOMC officials Williams from New York and Vice Chair Clarida moved markets. Given the strong tone of economic data, one would expect both officials to try and tone down rising market expectations regarding any aggressive policy moves at the July meeting. Well, markets don’t always make sense.
In their respective interviews, both Williams and Clarida not only didn’t tone down expectations, but they added fuel to the fire. Williams noted that “it pays to act quickly to lower rates" and "vaccinate” the economy "against further ills." Clarida was even more direct when he said that “Research shows you act preemptively when you can.” In other words, the data-dependent Fed is casting the data aside and ready to move anyway. In his interview on Fox Business, Clarida almost got a chuckle when asked whether there was any chance the Fed wouldn’t cut rates in July.
The dovish turn from the Fed was immediately reflected in market expectations for rate policy at the July meeting. Back in June, market expectations for a 50 basis points (bps) cut at the next meeting peaked out at under 50%. Then, in the days following the June employment report, expectations dropped all the way down to 3%. In the last ten days, though, the trend has completely reversed, and as of yesterday’s close topped out at 71% versus just a 29% chance for a 25 bps cut. Probabilities for a 50 bps cut came in a bit overnight but are still at about 50/50. Yesterday alone, though, expectations for a 25 bps cut and a 50 bps cut more than completely reversed from the prior day, and remember, that’s after what was a good day of economic data! Can you imagine what expectations would be like if the data was actually bad?
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US Beats World When It Comes to Stocks

The Bloomberg World index is a cap-weighted index made up of nearly 5,000 stocks from around the world (including US stocks). While the S&P 500 has been hitting new all-time highs over the last week, the Bloomberg World index remains 7% below highs that it last made back in January 2018.
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Below is a chart showing the ratio of the S&P 500 to the Bloomberg World index since the World index's inception back in August 2003. While the World index outperformed the US for five years in the mid-2000s, the US has been outperforming since the end of 2007, which includes both the Financial Crisis and the bull market that has been in place since the 2009 lows.
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Along with the relative strength chart between the two indices above, below we show the price change of the S&P 500 versus the Bloomberg World index since August 2003. Through today, the S&P was up 203% versus a gain of 142% for the Bloomberg World index.
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Since the November 2016 election, the S&P 500 is up 40% versus a gain of 26% for the Bloomberg World index. Notably, the World index kept up with the S&P through early 2018, but weakness for the World index in mid-2018 and a failure to bounce back as much as the US this year has left the World index well behind.
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Best Performing Stocks Over the Last 12 Months

The S&P 500 is up over 20% YTD, but over the last 12 months, it is up just under 10% on a total return basis. And within the S&P 1500, there are only 44 stocks that are up more than 50% on a total return basis over the last 12 months. These 44 stocks are listed below.
Innovative Industrials (IIPR) -- a cannabis REIT -- has been the best performing stock in the S&P 1500 over the last year with a total return of 302%. In second place is eHealth (EHTH) with a gain of 269%, followed by Avon Products (AVP) at +174.8% and Coca-Cola Bottling (COKE) at +128.58%. Coca-Cola Bottling is probably one of the last names you would have guessed as a top five performer over the last year! Other notables on the list of biggest winners include Advanced Micro (AMD), LendingTree (TREE), Starbucks (SBUX), AutoZone (AZO), Chipotle (CMG), Hershey (HSY), and Procter & Gamble (PG).
Some names that aren't on the list that you may have expected to see? AMZN, NFLX, MSFT? Nope. None of the mega-cap Tech companies are on the list of biggest winners due to serious weakness from this group in Q4 2018.
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2% Days Few and Far Between

Although the last two trading days have seen exceptionally narrow daily ranges, today we wanted to take a quick look at the S&P 500's frequency of 2% daily moves (either up or down) in the post-WWII period. The chart below breaks out the frequency of 2% days by year, and years with more than 25 one-day moves of 2% are notated accordingly.
Overall, there have been an average of 11 daily 2% moves in a given year. After five straight years from 2007 to 2011 where we saw an above-average number of 2% days, the last seven years have only seen one year with an above-average number of occurrences (2018, 21). Remember, in 2017 there wasn't one single trading day that saw the S&P move up or down 2%!
So far this year, there have only been four 2% days, but with the most volatile part of the year on tap, we are likely to see that number increase in the months ahead. Don't expect the relative calm that we have seen in the last few trading days to last forever. Volatility is unpredictable and usually comes up and surprises you when you least expect it!
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STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending July 19th, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 07.21.19

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Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FB
  • $AMZN
  • $TSLA
  • $BA
  • $T
  • $SNAP
  • $PIXY
  • $HAL
  • $TWTR
  • $KO
  • $F
  • $V
  • $LMT
  • $GOOGL
  • $INTC
  • $CAT
  • $PYPL
  • $BIIB
  • $UTX
  • $IRBT
  • $XLNX
  • $UPS
  • $ABBV
  • $CNC
  • $NOK
  • $CMG
  • $MMM
  • $RPM
  • $SBUX
  • $JBLU
  • $BMY
  • $GNC
  • $MCD
  • $CDNS
  • $CADE
  • $NOW
  • $AMTD
  • $HAS
  • $HOG
  • $ANTM
  • $WM
  • $CMCSA
  • $FCX
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
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 7.22.19 Before Market Open:

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

Monday 7.22.19 After Market Close:

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

Tuesday 7.23.19 Before Market Open:

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

Tuesday 7.23.19 After Market Close:

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

Wednesday 7.24.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 7.24.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 7.26.19 Before Market Open:

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

Friday 7.26.19 After Market Close:

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

Amazon.com, Inc. $1,964.52

Amazon.com, Inc. (AMZN) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, July 25, 2019. The consensus earnings estimate is $5.29 per share on revenue of $62.51 billion and the Earnings Whisper ® number is $5.70 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.34% with revenue increasing by 18.20%. Short interest has increased by 14.0% 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 13.0% above its 200 day moving average of $1,737.93. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, July 11, 2019 there was some notable buying of 3,494 contracts of the $2,000.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 4.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Facebook Inc. $198.36

Facebook Inc. (FB) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.90 per share on revenue of $16.45 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.20% with revenue increasing by 24.33%. Short interest has increased by 21.7% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 20.8% above its 200 day moving average of $164.17. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, July 17, 2019 there was some notable buying of 16,697 contracts of the $290.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 6.5% move on earnings and the stock has averaged a 8.6% move in recent quarters.

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Tesla, Inc. $258.18

Tesla, Inc. (TSLA) is confirmed to report earnings at approximately 5:15 PM ET on Wednesday, July 24, 2019. The consensus estimate is for a loss of $0.52 per share on revenue of $6.38 billion and the Earnings Whisper ® number is ($0.44) per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 84.80% with revenue increasing by 59.41%. Short interest has increased by 26.5% since the company's last earnings release while the stock has drifted higher by 1.2% from its open following the earnings release to be 8.1% below its 200 day moving average of $280.96. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 30,445 contracts of the $50.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 7.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Boeing Co. $377.36

Boeing Co. (BA) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.89 per share on revenue of $20.27 billion and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 17% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.24% with revenue decreasing by 16.44%. Short interest has increased by 11.2% 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 4.0% above its 200 day moving average of $362.82. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 6,176 contracts of the $325.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AT&T Corp. $32.79

AT&T Corp. (T) is confirmed to report earnings at approximately 6:50 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $0.89 per share on revenue of $45.02 billion and the Earnings Whisper ® number is $0.90 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.20% with revenue increasing by 15.48%. Short interest has increased by 16.4% since the company's last earnings release while the stock has drifted higher by 5.5% from its open following the earnings release to be 4.5% above its 200 day moving average of $31.37. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 144,398 contracts of the $28.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 4.1% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Snap Inc. $14.02

Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, July 23, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $358.48 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat The company's guidance was for revenue of $335.00 million to $360.00 million. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 36.69%. Short interest has decreased by 3.8% since the company's last earnings release while the stock has drifted higher by 13.5% from its open following the earnings release to be 36.9% above its 200 day moving average of $10.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, July 5, 2019 there was some notable buying of 7,449 contracts of the $19.00 call expiring on Friday, July 26, 2019. Option traders are pricing in a 13.7% move on earnings and the stock has averaged a 19.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $0.63

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, July 22, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $14.39 million. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 33.33% with revenue increasing by 53.48%. Short interest has decreased by 8.2% since the company's last earnings release while the stock has drifted lower by 50.9% from its open following the earnings release to be 63.8% below its 200 day moving average of $1.74. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 16.9% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Halliburton Company $21.75

Halliburton Company (HAL) is confirmed to report earnings at approximately 6:45 AM ET on Monday, July 22, 2019. The consensus earnings estimate is $0.30 per share on revenue of $5.97 billion and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 48.28% with revenue decreasing by 2.88%. Short interest has increased by 39.2% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 25.7% below its 200 day moving average of $29.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 9,264 contracts of the $20.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Twitter, Inc. $36.77

Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Friday, July 26, 2019. The consensus earnings estimate is $0.19 per share on revenue of $828.49 million and the Earnings Whisper ® number is $0.24 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat The company's guidance was for revenue of $770.00 million to $830.00 million. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 16.60%. Short interest has increased by 9.0% since the company's last earnings release while the stock has drifted lower by 0.4% from its open following the earnings release to be 10.1% above its 200 day moving average of $33.39. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, July 15, 2019 there was some notable buying of 7,151 contracts of the $60.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Visa Inc $179.24

Visa Inc (V) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, July 23, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.70 billion and the Earnings Whisper ® number is $1.37 per share. Investor sentiment going into the company's earnings release has 79% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 10.83% with revenue increasing by 8.78%. Short interest has decreased by 6.9% since the company's last earnings release while the stock has drifted higher by 11.7% from its open following the earnings release to be 19.5% above its 200 day moving average of $150.03. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 4,839 contracts of the $165.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

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

5.9 Relative Vigor Index (RVI) trading instructions - YouTube VOLATILITY 75 INDEX BEST SCALPING STRATEGY (VIX75) - YouTube How to Easily Measure Relative Volatility in the 4 Indices - Dec. 27, 2019 - Volatility Box Report Volatility 75 index and the best broker - YouTube Relative volatility index  Video 80 Gold momentum RELATIVE VOLATILITY indicator - NEVER LOSS - iq option trading

The Relative Volatility Index is similar to the Relative Strength Index (RSI) but it shows the maximum and minimum prices of the standard deviation in a particular range. The Relative Volatility Index can range from 0 to 100 and, unlike many indicators, does not show price movement, but rather measures its strength. Relative Volatility Index Metatrader 5 Forex Indicator. The Relative Volatility Index Metatrader 5 forex indicator consists of two colored filled floating area’s which represent support and resistance. Setting the floating levels to < 1 turns off this feature, something this indicator really needs. The Relative Volatility Index (RVI or Relative Volatility Index) is a volatility indicator developed by Donald Dorsey to indicate the direction of volatility. This is similar to the Relative Strength Index (RSI), except that it measures the standard deviation of price changes over a period rather than absolute price changes. Relative Volatility Index was elaborated by Donald Dorsey in 1993 and introduced in the "Technical Analysis of Stocks and Commodities" magazine.. Relative Volatility Index is not a separate indicator; it is used to confirm signals and improve trading systems.. This index measures forces of volatility movement. It does not duplicate signals of other oscillators, but just confirms them. Corrected Relative Volatility Index. This indicator was originally developed by Donald Dorsey (Stocks & Commodities V.11:6 (253-256): The Relative Volatility Index). The indicator was revised by Dorsey in 1995 (Stocks & Commodities V.13:09 (388-391): Refining the Relative Volatility Index). I suggest the refined RVI with optional settings. If you disabled Wilder's Smoothing and Refined RVI you ... Corrected Relative Volatility Index. This indicator was originally developed by Donald Dorsey (Stocks & Commodities V.11:6 (253-256): The Relative Volatility Index). The indicator was revised by Dorsey in 1995 (Stocks & Commodities V.13:09 (388-391): Refining the Relative Volatility Index). I suggest the refined RVI with optional settings. If ... The relative volatility index is widely used in the stock and the futures markets, but it can also be applied to the forex markets as well. The simplicity of this indicator is based on the fact that the RVI measures volatility based on the standard deviation. Relative Volatility Index (RVI) Indicator is a momentum oscillator, which measures both the speed as well as the rise or fall of price movements of a stock in terms of complete stock trading. Relative Volatility Index (RVI) Indicator is one of the top Technical Analysis Indicator.In this Course Relative Volatility Index (RVI) Indicator is not shown as merely a indicator but a Complete System ... Relative Volatility Index (RVI) Donald Dorsey worked out the Relative Volatility Index (RVI), which is the RSI, only with the standard deviation over the past 10 days used instead of everyday price fluctuations. The RVI is usually used as a fixing indicator, because it measures in other way than price and it has the aim to interpret forex ...

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