How to Find and Use Supply and Demand in Your Forex Trading

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

KFC6855/环球潮鞋: The Secrets of Replica Sneaker Selling

KFC6855/环球潮鞋: The Secrets of Replica Sneaker Selling
Following a post from u/donjonne about a HUGE Weibo story on how to actually start your own 1:1 repsneaker empire, I figured as a native Mandarin speaker I gave it a shot and translated the entire article, since I myself am pretty damn intrigued what the guy's speaking.Do note this article is written in March 2017, lots of stuff may have been outdated, and I translated word-for-word with some pruned paragraphs that seems like the fella repeating himself. I absolutely hate the weird flowery prose Mandarin always carry when I work on translations, so apologies if the in-jokes or general writing gets a bit dry.
This is my personal tl;dr without the author's boastful claims, so if you're short on time, here's the quick rundown.

How do replica sneakers get sold?

Taobao: Long history with the reputation for being the single biggest online BST hub, with Tmall and Xianyu Second-hands integrated. Lots of fake reviews and seller reputation ratings. The rep game there got outta hand, CEO of Alibaba stepped in and cleaned house, thus everyone moved to...
WeChat: Lots more convoluted, no proper tracking and confirmation like a real shopping app and build quality can vary greatly between sneaker models from the same seller. But through word-of-mouth, standout resellers get recommended more organically, of course you need connections to start with.
Agents: Your best friend if you're overseas, usually ran by freelancers merely collecting orders, reporting back to resellers and have them directly ship your kicks to your doorstep. Agents can be a single person, or a huge operation i.e. Wegobuy and Ytaopal.

How's the quality tho?

Depends. Some will try to bait-and-switch, some will bond genuine friendships for simply being a return customer. Factories often cut corners to save some dough and end up with a worse rep, so like the purpose of this sub, dig into forums and guide yourself to trustworthy sellers. Author also goes on a tangent and revealed the numbers and figures of selling reps, along with the sheer gold rush he's in now. Read below for more info.

Anything of note?

We're getting ripped off. Real hard, if you're a Mainlander chances are you're being sold 1/3 of the prices we see here. Part of the reason is that the multi-level reselling jacks up the price a lot, so unless you're buying in bulk for the purpose of selling them, good luck finding GET-passable OW AJ1's for less than $70. If you get caught selling, it's fines upwards of ¥50,000 and your license revoked, but nothing too serious beyond that. Author promised more novel shoes get made in the future, like Uggs and non-hypebeast dress shoes or sumthin.

With that outta the way, here's the translation for the whole article, hope you'll learn something for it and if there's any mistakes, feel free to point it out in DMs or just in the comments.
EDIT 17/05/2020: punctuation mistakes and missing formatting, also thanks for the kind words repfam
_______________

GOD'S HAND: The Secrets of Replica Sneaker Selling


Having been in the rep game for around 4 to 5 years, it all started out of sheer curiosity. I spent ¥1099 for Air Force 1's some celebrity wore, only to had my buddy show up on me with a fake pair of the same sneaker only costs ¥300.
Not everyone is some rich parents' spoiled brat where a pair of shoes costing a couple grand is considered pocket change, yet everyone has that sense of envy, the need to follow the hype to really stand out from the crowd, so do I honestly. But then again you'd only wear that pair of grails for only a good couple months and it'll be out of the wave, why not I find myself a more wallet-friendly way to do so?
Ever since dipping my toe into the replica community, I'm making connections, meeting new friends and getting scammed in every step I make, keeping contacts of my favorite sellers (looking back yeah they're not the best and cheapest isn't it huh). I'm deep in the rabbit hole now, buying so many pairs I'm starting to be able to tell batches at a glance, and where to hunt down that very best batch at the cheapest price. At this point it's natural that I'm thinking of selling these reps and becoming a middleman with the best of the batches under one roof (which is what's following below).
Anyone who has dealt with middlemen know that actually tracking down the direct factory outlets are nigh impossible, and the multiple stages of middlemen-ception where bigger but more discreet resellers selling to more minor, smaller middlemen can only make one dream of the sheer profit you can make for being on the very top of the pyramid, that idea has only been a mere blip in my mind. There was once in a bar my fam hollered at me with "Yo you remember that John Doe went to Putian for two years? Dude gave up college and has been filthy stinkin' rich by now!" I was like bah it'll never work out for me, but with the summer break I'd worth giving it a shot and have John Doe on the line. And boy howdy, ain't he wildin' right now with his business.
Some say every Nike you see there's 1/3 chance it's straight outta Putian, some say Nike's LC works by handling a pair of dumb shoes to an uninformed factory worker and have him say "fuck kinda shoes are these, looks cool I guess so it's legit?" The only way is to really tear down the whole sneaker and see the markings in UV, and once we're on the point where we can fake inside tags and its barcodes, ask yourself can call out fakes on feet?
A promotion for \"discount\" NB's on Weibo
Ever seen promos like these?
It's what I saw on Weibo today, and you've seen one like it yourself did you? They all look good on the images and you'd be right that they're photos of the real deal, just that of course the shoes you actually get were reps, and for each pair profits are never above ¥100; I sell ya an NB for ¥165, I'd only make ¥50.

REPLICA SNEAKERS: HOW DO THEY GET SOLD?

TAOBAO
Taobao has always been the single biggest hub for BST. Run by the faceless middlemen, sold by the page visits, and reviewed by the bots. And stores with inflated trust scores were used as a front, once costing hundreds of yuan to buy now go for the tens of thousands. As Taobao is taking action to curb counterfeits to make way for legitimate resellers, these fronts are getting more expensive by the day, since then people took it to WeChat later on.
Ask anyone who ran a Taobao store, and they'd tell you "you'll never make a cent unless you're selling fakes". A pair of (fake) shoes take some ¥100 to make, and can be sold as a legit like the thousands of yuan you see on their listings, you'd get away with dozens of fakes sold this way, where you can properly guage and adjust said price to match your profit margins. Once the rep game got popular and the snowball kept rolling, the problem got too big for Ma Yun to not ignore it and he went full banhammer on every rep seller. With every media outlet roasting Taobao's ass, everyone wises up to the knowledge that almost every sneaker you see could be fakes. The stigma lived on, and no one would touch any store where its place of origin writes "Putian".
When life gives you lemons, you make a whole damn lemonade stand and just circumvent the whole damn thing by appearing that you're not from Putian. Problem solved. As you check your shipping details, it always seems to travel from Shangai, Shenzen, Quanzhou or even goddamn Xiamen of all places, even overseas.

Proxy services are very popular due to China's stringent laws
When sneakers are labeled as being shipped from Hong Kong, of course the sellers gonna say "it's from Hong Kong" but in fact it's shipping from Shenzhen, and the seller's excuse is that the sneakers are going through HK's borders from Shenzen then to the buyer's location. Even if you bought fakes in Tmall however, it won't be as bad as the ones sold as legit retails in Taobao. There's just too many of these rip-offs anyway! Had a reseller came to me to buy 10 pairs of sneakers, I make ¥10 each pair, but he sold it as retails and went on to make ¥500 each. Of course I'd panicked a jacked a prices a bit so I could have my own slice of extra profit to ¥20 each pair, said the factories jacked the prices themselves as an excuse.
Hoe's mad I guess

WECHAT
While profit margins are no higher than Taobao, they still range around a dozen yuan on bulk. For all the actual friends I have in WeChat, I'd never believe them not having owned a replica sneaker in their whole life, blah blah blah "factory direct", "wholesale prices" my ass, who really can head to the factories and buy direct these days? Rep resellers buying bulk from those factories are truly the "direct from factory" purchases. Resellers then selling the reps to middlemen and agents, that's another step. Said middlemen then resell these reps to quote-on-quote "middlemen". (NB: may have been the very resellers we see on the sub) And it goes on and on and then, to you, the customer.The so-called A-grade reps you see on WC, let's say we buy it from the factory at ¥200 (for example, the real deal won't be this cheap) and sell to the end-user for ¥400~¥500, it does in fact look decent. Heck, retails may get "called out" in forums and reps may sneak under the radar. Chat and forum opinions aren't good indicatiors for a rep's actual quality. Thus you may wonder why buy retails at this point? No one would really hit the New Balance outlets at their local Wanda mall and ask the teeny-bop promoter lady if their kicks are legit anyway, so wouldn't this been the dream job you've wanted, right?
SMALL-TIME AGENTS
These sort of agents are mostly handling orders from overseas to cater the westerners, mainly Russian, SE-Asian, North/South American countries etc., and will never be some solo project as they always come in groups of a few dozen staff members. These agent groups can also hire decently well-spoken college students to help converse customers in English and pay them good pocket change, which is eerily similar to how Forex scams work before, but this time they're doing legit businesses for a change. Sort of.
FREELANCE AGENTS
The most common agent you may come across can be your close friends, they get instant payouts for attracting their local classmates to collect orders for reps, and this wannabe hustler reports them back to the resellers to ship to school dorms directly.

REPLICA BUILD AND QUALITY

Replicas reach far, far and wide. You could see your neighborhood cleaner aunt wearing 990v4s, motorbike taxi riders wearing Duck Camo AM90's, your kind old uncle next door exercising in Flyknit Racers and so on. NB, Nike, Converse, Ascis, Kappa; any brand you wanted they got it. ¥100 to ¥500 is what the factories charge, but after it hits resellers with a ¥200 hike, the illusion what seems to be a shoe that'll last breaks down as it wears out after a few wears. Bad stitching? Poorly-tumbled faux-leather? Off-moulded shape? I'd believe you but you sure you can tell if the EVA is fake by just looking on it? Is the gluing pattern underneath it visible even? A good deal of local boutiques sell ¥120 replicas at official retail prices like ¥599, a good ¥400 profit.
Putian factories are split into "heavy" and "light" industries. The heavy industries builds the sneaker as a whole from scratch, while the light industries were like CKD vehicles, where parts are purchased and assembled together instead. and quality of each part of the sneaker depends among factories. Lots of them try to cut corners to save every extra cent, which explains the decreasing quality of recent sneakers you see now. Larger factories has always been delivering consistently decent sneakers, as customers who contacted them are much picker and won't slash prices along with quality out of the blue. The stitching (and Nike Air units/Boost soles even!) is close enough to pass off as retails. Some of the more badass factories can make a batch of 100 brand new replicas for you, just hand in a donor retail pair and they'll get to work.The old dogs in Putian has been around for ages, runs most of the resellers you know and love. They buy reps from the factory direct at ¥140, sell to resellers at ¥160 and have the resellers push ¥180, at these prices the shoes are just not enough to satisfy demand. I've gave it an estimate if the factory got his order to 30 dozen pairs of reps, with each pair a ¥20 profit, we're looking at ¥7,000 a day or ¥20,000 a month in gross profit.
Of course, the Sales and Commerce Assoc. will still take a heavy hand on counterfeit sneakers till today, basically a few sellers every month get caught in the counterfeit business. The offenders walk into the office, sit down, had "the talk" yet again and pay a good ¥30k~¥50k fine and had their licenses taken away, for just awhile. Factories themselves get raided very seldom, maybe a every 6 months only a single factory gets caught per year. Putian has become the leading worldwide repsneaker operation for the entire world, and outputs around 50% the actual worldwide sneaker market, an estimated ¥20bn yearly. The Nikes and Adidases you wear now has an "OEM" for that. You may have bought a brand sneaker [in China], but it may very well be a fake regardless, to be fair the quality itself is indistinguishable anyway.

REPSNEAKER GRADES

1) The Standard Putian's cheapest offering, pretty much trash tier and a certain Taobao sells them the most often :^)
2) The GET Batch A huge improvement from the Standards, and the so-called 1:1 batch from the mouths of others. It's really not, some of the materials itself is not as fine or accurate as the real deal. Tmall often sells these batches, but often get sold as retails.
3) The 1:1 The absolute tip of the high-end replicas. Take it to HuPu.com and only the eagle-eyed few would call you out. Not everyone can get their hands on them, regardless of price. [eg: similar situation to UABat's Union AJ1's]
4) The Retail Nuff said, just retails. (But really, reps cost just 1/5 of the retail price, why bother lol?)
A snapshot of KFC6855's wares

HOW TO TELL FAKES

[The author essentially details how to LC NB998's, so this is best skipped as it adds nothing to the article other than repeating the author's point over and over.]

THE REPSNEAKER FUTURE

If you ever think replica sneakers will only remain within the hypebeast sporty trainer radar, oh you'd be surprised. The replica factories are on full steam, churning out Dr. Martens, UGGS, Tod's and a lot more to come. If you're interested, my WeChat: KFC6855 has them on sale right now, guaranteed to keep ya comfy this winter.

With all that said, I hope you learnt something from this, and now that you know if you really wanted a retail pair to sleep well at night, just don't get 'em in online stores. There's no glitz and glamor selling counterfeit sneakers, it's just business after all.
If you know, you know.

submitted by TeddyTheEspurr to Repsneakers [link] [comments]

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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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/
submitted by aibnsamin1 to Bitcoin [link] [comments]

The Bitcoin Evolution System Review – How to Sign Up

Robotized and Manual Trading

One of the most testing parts of exchanging for the two amateurs and experienced merchants is managing one's own feelings which could make numerous brokers overcompensate to advertise vacillations. This can at last lead to noteworthy misfortunes and in numerous occasions, bring about losing the entirety of one's contributed capital.

Be that as it may, BitcoinEvolution's robotized exchanging signals removes one's feelings from the condition which means going great for predictable and beneficial exchanging choices.

After actualizing an exchange signal, the BitcoinEvolution programming will start settling on choices to purchase and sell cryptographic forms of money dependent on exchanging parameters which have been introduced into the client's exchanging account. This implies financial specialists don't need to sit before the PC screen watching outlines for a considerable length of time.

Moreover, merchants utilizing BitcoinEvolution calculations don't need to stress over passing up on any chances even in an unpredictable and quick moving business sector. The BitcoinEvolution calculation has a period jump of 0.01 seconds.

This implies the calculation is equipped for finishing a market investigation and consequently executing an exchange before the market even starts to move.

No manual broker would have the option to approach that.

Likewise, the Bitcoin Evolution System doesn't work at a similar speed as BitcoinEvolution.

Since it takes the Bitcoin Evolution System longer to dissect advertise developments, numerous possibly gainful exchanging openings are frequently lost.

BitcoinEvolution investigations the business sectors at a fast speed and with unimaginable precision. This can be particularly helpful for those exchanging on littler time allotments where the business sectors will in general move rapidly and with essentially raised degrees of instability.

Precise Trading Signals

During client tests, BitcoinEvolution's different mechanized exchanging signals were reliably gainful in all cases. This implies financial specialists can rest serenely knowing their danger of misfortune has been limited. Maybe the best piece of BitcoinEvolution's precise mechanized exchanging signals is that speculators can, not just rest soundly having a sense of security about their cash, they can have confidence they are truly bringing in cash while they rest.

Then again, there might be times whenever a merchant sees a particular chance and needs to hop on it.

This is the reason BitcoinEvolution permits clients to change to manual exchanging mode whenever.

With this sort of adaptability and precision, speculators utilizing exchange signals from BitcoinEvolution will make certain to never pass up on a chance to make a gainful exchange.

At the point when we contrasted the BitcoinEvolution with the Bitcoin Evolution System, we promptly saw that the Bitcoin Evolution System has a much lower level of fruitful exchanges.

Truth be told, in the wake of utilizing this product for 4 days, we had lost the entirety of our exchanging capital and couldn't keep exchanging.

In view of this, we suggest checking out the BitcoinEvolution programming before making a store with the Bitcoin Evolution System.

Incredible Trading Experience

BitcoinEvolution's foundation comes outfitted with everything a dealer should be fruitful in benefitting from the vacillations in the digital money markets. The stage offers an astounding cluster of specialized markers and simple to-peruse value graphs. This guarantees merchants will have the option to recognize all significant outline designs which could be utilized as productive signs to purchase or sell cryptographic forms of money.

This product additionally permits a merchant to set their own exchanging parameters which incorporate which resources for exchange, the amount to contribute per exchange, the hazard level, the procedures to utilize and significantly more.

In correlation, the Bitcoin Evolution System doesn't permit you to modify all the exchanging parameters.

This product offers less adaptability when contrasted with the BitcoinEvolution framework.

Additionally, BitcoinEvolution has a wide cluster of digital forms of money accessible for exchanging.

These decisions are effectively open in an instinctively structured interface which makes it simple for merchants to execute exchanges. It is very clear that BitcoinEvolution has gone the additional mile to ensure the interface configuration is as instinctive and viable as could be expected under the circumstances.

Moreover, during the client tests, the BitcoinEvolution stage end up being very responsive with no glitches at all.

There was negligible slippage, even with progressively uncommon money sets which will in general have less liquidity.

In any event, during top market hours and with numerous positions open simultaneously, the stage worked strikingly well.

This assists with guaranteeing that dealers will have the option to benefit from speedy market moves all the more viably.

This can be particularly basic for those exchanging on the littler time spans where part second choices are routinely required. As we have referenced previously, the Bitcoin Evolution System frequently has delays, keeping brokers from entering or leaving exchanges at the ideal resource cost.

Responsive and Professional Customer Support

Not exclusively is BitcoinEvolution's exchanging stage responsive, its client care group is likewise responsive and will make a special effort to support the stage's clients. The help group can be reached whenever by means of email. Upon a client trial of the client assistance reaction, the group end up being proficient of the money related markets just as the organization's administrations and items.

Interestingly, client care for the Bitcoin Evolution System was very unhelpful in giving answers for basic issues identified with their product.

They made some troublesome memories noting even the most fundamental inquiries during the client test directed for this audit.

One client care specialist was even discourteous on the telephone.

This can be a genuine worry since the Bitcoin Evolution System exchange calculations were filled with glitches and moderate responsiveness.

Luckily, there is no compelling reason to manage this sort of poor client support when speculators can simply change to BitcoinEvolution, which has a far predominant stage and exchange signals. Be that as it may, it appears the Bitcoin Evolution System wouldn't like to make it simple for speculators to change to another exchange signal supplier. Sadly, the withdrawal procedure for the Bitcoin Evolution System is lumbering and confounding and a long way from clear.

Is the Bitcoin Evolution System for All Traders?

Is the Bitcoin Evolution System for All Traders?

In principle the Bitcoin Evolution System can be utilized by all brokers, anyway because of the various glitches and specialized variations from the norm during the client test for this survey, it's anything but a smart thought for unpracticed dealers to utilize the stage. Unpracticed dealers will make some troublesome memories disclosing to the client assistance group the issues they experience while utilizing the stage's exchange signals.

Actually, even experienced brokers may have issues, since the client care for the Bitcoin Evolution System is very unacceptable.

At the point when you pursue an exchanging programming, the objective is to make your exchanging exercises simpler.

In correlation, the BitcoinEvolution programming is anything but difficult to use, in addition to it is planned so that even new dealers can utilize the product even with no related knowledge or a comprehension of the business sectors.

What's more, experienced merchants can utilize the BitcoinEvolution programming to test their market investigation and exchanging systems, so it is a success win for both new and experienced dealers.

Demo Trading Account

Both BitcoinEvolution and the Bitcoin Evolution System offers clients the choice of beginning with a demo exchanging account. This can help ensure clients know about how the entirety of the stage capacities work before contributing genuine capital. The BitcoinEvolution demo walkthrough is thorough and gives one an away from of how the dashboard functions. This is a major in addition to as it gives a merchant genuine feelings of serenity before they put away their well deserved cash.

Tributes

There are a few tributes from people guaranteeing that they have had the option to make benefits from the Bitcoin Evolution System, anyway these are far and not many in the middle. Not exclusively did these tributes not state for to what extent they stayed productive, there are ordinarily more tributes and online audits asserting that the Bitcoin Evolution System brought about them losing critical cash.

At times, merchants lost their whole exchanging account balance.

There were a few analysts who ventured to guarantee the Bitcoin Evolution System is a trick.

Despite the fact that this might be a touch of a misrepresentation, it is reasonable that a few speculators were flummoxed by the poor working of the stage.

This can be especially baffling when joined with the misfortune consequences of the greater part of the Bitcoin Evolution System exchange signals.

Then again, a straightforward inquiry online will uncover numerous positive surveys about the BitcoinEvolution programming, and it is obvious that its clients are winning over $1,000 consistently utilizing this instinctive and amazing programming arrangement.


Pursuing the Bitcoin Evolution System is genuinely direct. Clients will have the chance to fire the sign-up process directly from the site's landing page. On the correct side of the page, there is a sign-up structure which requests that clients enter their own data. A client's first name, last name and email will be required. Subsequent to rounding this data out, a client will press the "Get Access Now" button.

On the subsequent page, clients will be required to give another arrangement of individual data. The client will enter their telephone number and demonstrate which nation the person in question is enlisting from. There are a few wards which are not upheld by the Bitcoin Evolution System.

For example, those living in the United States are not permitted to enroll for a record with the Bitcoin Evolution System.

BitcoinEvolution has a comparative sign-up process and requires the equivalent definite individual data.

The procedure to enlist with BitcoinEvolution is likewise generally straight forward, actually, it may even be somewhat simpler than the Bitcoin Evolution System.

Set aside the effort to survey both programming arrangements and pick one that meets your exchanging abilities, needs and inclinations.

Exchanging Accounts – BitcoinEvolution

Exchanging Accounts – Bitcoin Evolution

BitcoinEvolution offers different approaches to tweak one's record. The interface is direct and simple to utilize and permits certain highlights to be altered to fit every individual merchant's style and inclination. BitcoinEvolution sees customization as fundamental on the grounds that only one out of every odd speculator contemplates monetary markets. Likewise, few out of every odd merchant has a similar expansiveness of information, aptitude and experience.

This is a major in addition to and contrasts from the Bitcoin Evolution System which doesn't take into account such inside and out customisation.

The base store to enroll for a record with BitcoinEvolution is just $250 which makes it available to financial specialists of all pay levels.

In this manner, everyone gets the opportunity to use BitcoinEvolution's algorithmic exchange signals request to profit by developments in the cryptographic money markets.

Regardless of whether a client is exchanging a little record or a large number of dollars, the person in question can have confidence that BitcoinEvolution calculations will reliably include benefits, while additionally downplaying hazard.

Additionally, Bitcoin Evolution Price, have made it simple for financial specialists to pull back their benefits from their records.

The withdrawal procedure is simple and without problems.

Endless supply of the vital structures, the agent will process the withdrawal demand inside the following 24 to 48 hours.

The assets will be moved by means of the first technique used to store the cash in any case. Also, there are no expenses charged for preparing a withdrawal demand.

Truth be told, BitcoinEvolution doesn't charge any expenses whatsoever.

It is for these numerous reasons that we put the BitcoinEvolution programming in the lead position, and we felt that in our trial of the two programming arrangements, the presentation and achievement of the BitcoinEvolution far surpassed that of the Bitcoin Evolution System.

The Bitcoin Evolution System Review – The Bottom Line – Is This the Real Deal?

The Bitcoin Evolution Reviews – The Bottom Line – Is This the Real Deal?

Clearly the Bitcoin Evolution System is a genuine exchanging stage which permits clients to exchange digital forms of money and Forex utilizing algorithmic exchange signals. In any case, it is likewise self-evident, after client testing, that the exchange signals are shoddy and ought to most likely be kept away from, particularly for amateurs.

Truly, the stage capacities by and large, in spite of various glitches and issues with responsiveness, yet that is a quite low bar for those hoping to make genuine benefits from the money related markets.

There truly is no motivation behind why anyone should consider enrolling with the Bitcoin Evolution System when BitcoinEvolution can really convey on what the Bitcoin Evolution System needs. BitcoinEvolution offers reliably productive exchange flags on a simple to-utilize exchanging stage.

It likewise offers an exchanging situation that is responsive, even in unpredictable economic situations.

Moreover, the stage stays responsive in any event, when a record has an enormous number of open positions.

What's more, to finish everything off, BitcoinEvolution's client care group appears to be fundamentally increasingly skillful and equipped for tending to client worries than the client assistance at the Bitcoin Evolution System. Plainly BitcoinEvolution is the better decision of exchanging stage.
https://www.bitcoinevolutionpro.com/
submitted by bitcoinevolutionpro to u/bitcoinevolutionpro [link] [comments]

Wall Street Week Ahead for the trading week beginning June 24th, 2019

Good afternoon 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 June 24th, 2019.

What to watch in the market in the week ahead: Stocks on track for best first half in 22 years - (Source)

The fate of U.S.-China trade talks could play out in the week ahead, and that could set the tone for markets and the economy in the second half of the year.
Stocks set new highs in the past week, after the Federal Reserve signaled it was ready to cut interest rates if necessary, and Fed Chair Jerome Powell said trade and the global economy are two factors the Fed is watching.
The S&P 500 was on track, as of Friday, to score a more than 17.6% gain for the first half, which ends Friday. If it stays at that level that would be the best first half performance since 1997, when the S&P was up 19.4% in the first six months.
The big event in the coming week has been as anticipated for weeks, and it could sway sentiment for weeks to come. At the end of the week, the G-20 meets in Osaka Japan for meetings Friday and Saturday.
‘Could go either way’ President Donald Trump and Chinese President Xi Jinping are expected to have their own dinner meeting at the G-20 next weekend, following discussions between their trade representatives. That meeting could decide how trade negotiations go forward, and whether the U.S. proceeds with another round of tariffs, this time on $300 billion in goods.
“Everybody knows the Trump, Xi meeting could go either way,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “I think everyone expects a new tariff freeze. That the $300 billion won’t go into effect. The most you can hope for out of G-20 meeting is the tariffs are where they are right now, and there’s no more escalation.That also means China will not release the list of companies they won’t do business with.”
Chandler said he will be looking for signaling from Trump and Xi on whether they are working on a deal that would be just on the trade topics, or bigger issues like North Korea and differences on the South China Sea.
“I do think the G-20 is quite important in that there’s not question in recent months, the trade war started to really move into measures of confidence and measures of manufacturing activity,” said Ethan Harris, head of global economics at Bank of America Merrill Lynch. Harris said he expects a positive message with an agreement of no further escalation, but probably not signs of significant progress. “I think the vibes coming out of it will be modestly positive,” he said.
“Whether there’s an escalation to the next round of China tariffs is going to set the theme for the rest of the year. Even if tariffs on China are reversed, or partly reversed, at some point, every time there’s an escalation or temporary escalation, it’s another kind of blow to confidence,” he said.
Harris said there’s the same risk as after the Trump, Xi meeting at the last G-20, where it was a positive tone but there was little progress afterwards and the markets then reacted negatively.
“I think there’s been this broad increased awareness from every economist that the trade war is starting to have noticeable impact. Further escalation with China would be quite a big signal. If the Trump administration puts tariffs on all the Chinese products it roughly doubles the size of the trade war and it sends a very strong message that there are very few constraints on where [Trump] goes next,” he said.
Powell and data Besides the meeting between Trump and Xi, the market focus will be on anything that could provide clues on what the Fed or even the European Central Bank will do, after ECB President Mario Draghi last week basically promised a new era of easing. Consumer price inflation data is expected for the euro zone, and on Friday, the U.S. personal consumption expenditure data is released, including the PCE deflator, a major inflation indicator for the Fed.
There are also a few Fed speakers, including Powell who speaks at the Council on Foreign Relations Tuesday.
“It’s probably going to be a big picture kind of talk about the broader challenges of the Fed,” said Ethan Harris, head of global economics at Bank of America Merrill Lynch. “They’re certainly going to ask questions about political influence at the Fed, and he’s going to dodge those. I think what I’m waiting for him to comment on is what it is they’re looking for to determine whether they’re going to cut in July or not.”
Harris said Powell is not likely to say anything he did not reveal at his press briefing in the past week, and the big focus will be on the lead up to the weekend G-20.
Falling interest rates and rising oil prices were two big factors in the market int he past week. The 10-year Treasury yield dipped briefly below 2%, a near 3-year low, as the Fed signaled its willingness to cut interest rates.
“Should we get some sort of trade agreement that would be a nice pop to the [stock] market, but that could take the rate cut off the table,” said Sam Stovall, chief investment strategist at CFRA.
Stovall said the stock market will also be watching oil after its rapid run higher, and the events in the Middle East surrounding Iran. West Texas Intermediate futures were up more than 9% in the past week, to $57.43.
“The old adage is every $10 increase in the price of oil takes off 20 to 25 basis points off of real GDP growth,” he said.
Stovall said stocks have had a solid run so far this year, but they may face some rocky times between now and the end of the summer. “For the rest of this ‘sell in May’ period we could be facing some challenges, headwinds. I think we’ will still end higher on the year. I think the seasonally optimistic September to November period will kick in but there will be a lot of challenges...will the Fed be cutting rates? what are the growth prospects?” he said.

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

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

Major Indices for this past week:

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

Major Futures Markets as of Friday's close:

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

Economic Calendar for the Week Ahead:

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

Sector Performance WTD, MTD, YTD:

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

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

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

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

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

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

Big S&P 500 Junes Drain Life from Julys

S&P 500 is off to it best June performance since 1955, up 7.34% as of yesterday’s close. If yesterday was the last trading day of June, this performance would have been strong enough to push the month to 6th best going back to 1930. Looking back to late May, this performance is still impressive even though it was anticipated following May’s abysmal showing. However, such strong performance in June may not carry over into July.
Below S&P 500 performance in June has been split into positive and negative tables. Each table contains July’s historical performance as well as full-year performance. Historically July has been weaker after a positive June. July averages just 0.48% after an up June compared to a gain of 2.84% after a down June. Examining the Top 20 Junes and subsequent Julys showed only a modest improvement in performance with average July gain climbing to 1.11%. However, even if July does disappoint this year, the full year is likely to still be quite fair as past positive Junes where followed by full-year gains 80% of the time with an average gain of 13.44%.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

Can Stocks Really Gain 20% This Year?

U.S. stocks could have a big year if LPL Research’s forecasts prove correct.
All year, we’ve maintained our fair value target on the S&P 500 Index of 3,000, implying that we expect this bull market and economic expansion to continue. If the S&P 500 closes the year at 3,000, the index will have gained 19.7% in 2019.
On the surface, that seems like a high hurdle for U.S. stocks. However, the S&P 500 has already gained about 16% this year, so a rally to 3,000 isn’t far out of reach.
The S&P 500 also hasn’t posted a 20% gain for the year since 2013, an unusually long stretch compared to history.
“It is interesting that the S&P 500 hasn’t gained more than 20% in any one year for five consecutive years,” noted LPL Senior Market Strategist Ryan Detrick. “Only once since 1950 did it go more than five years in a row without gaining 20%, thus if this pattern continues we very well might get to 20% in 2019.”
As our LPL Chart of the Day “Can The S&P 500 Index Really Gain 20% This Year?” shows, it is quite rare for the S&P 500 to go this long without a 20% annual gain. Could the streak end in 2019? Be sure to read our Midyear Outlook 2019, which is set for release next week, for more on why this could be the case.
(CLICK HERE FOR THE CHART!)

Prospect of Lower Rates Lifts Gold

As widely anticipated, the Fed did not change its target rate today. Instead, the Fed set the stage for cuts possibly later this year. Overall, the market’s response was a choppy climb to a modestly higher close. A more enthusiastic move by the market may have occurred if the Fed cut rates. Gold’s reaction was more favorable, finishing the day higher by over 1%. Generally, the lower interest rates go, the more desirable gold can become as lower rates typically result in a weaker dollar.
(CLICK HERE FOR THE CHART!)
In the above chart, gold’s monthly performance from 1975 to 2018 is displayed. Historically, October has been gold’s worst month and June is a close second. Historically, after weakness in June, gold has, on average, enjoyed solid gains in July, August and September. Some of this strength in gold is likely due to safe-haven demand during the stock market’s worst two months, August and September. Gold’s best three months, July to September, could easily be above average this year, especially if the Fed decides to cut sooner rather than later.

Are Bulls An Endangered Species?

The S&P 500 Index closed at a new all-time high yesterday, the 5th new high so far in 2019. After May, the worst month for the S&P 500 since 2010, June is up 7.3% as of 06.20.19, which would be the best June since 1955.
Much of the rally this month has been sparked by a more dovish Federal Reserve (Fed), combined with U.S.-China trade discussions potentially back on track.
What’s quite interesting about things now though, is many signs of investor sentiment are a long way from bullish. Remember, from a contrarian (or opposing) point of view, this can suggest there is still money on the sidelines.
“The S&P 500 might be at new highs, but global fund managers and individual investors are quite underweight equities right now,” explained LPL Senior Market Strategist Ryan Detrick. “If you are looking for a reason this rally can continue, that could be it.”
For example, the recent Bank of America Merrill Lynch June Global Fund Manager Survey (a survey of managers who oversee more than $600 billion in assets) showed the largest jump in cash since August 2011. Additionally, equity allocation was the lowest it had been since March 2009, and the equity-to-bond allocation was the lowest since May 2009. Not to mention the allocation to bonds was the highest it had been in eight years. “Money on the sidelines might sound cliché, but it really seems to be the case this time,” said Detrick. With the S&P 500 hitting more all-time highs, having money in the market may make more sense (or cents!).
Individual investors are skeptical as well, as the recent American Association of Individual Investors (AAII) Sentiment Survey showed more bears than bulls for six straight weeks, the longest stretch since November 2016. Finally, as our LPL Chart of the Day shows, AAII bulls have been under 30% for six consecutive weeks for the first time since January 2016.

Broad Strength in Health Care Sector

In an earlier post, we highlighted the fact that some of the ten best performing S&P 500 Industries between the S&P 500's highs on 4/30 and 6/20 were from the Health Care sector. It hasn't just been these four industries that have been strong in the Health Care sector either. The performance snapshot of the sector below shows just how strong the sector has been lately. While all six of the industries within the sector aren't up YTD or so far in Q2, between the S&P 500's highs on 4/30 and 6/20, Health Care is the only sector where every industry within the sector has posted positive returns. Not even the industries within the Utilities sector have been this uniformly positive. The best performer of the bunch has been Health Care Technology, which is up 8% since the end of April and has extended its YTD gain to 36.8%. The worst performing industry in the sector has been Biotech which is up 2.1% since 4/30, and while that may not sound like much, it's still better than more than half of the other industries in the index.
(CLICK HERE FOR THE CHART!)

Best and Worst Groups Between Highs

While the S&P 500 made a new high for the first time in 35 trading days yesterday, many of the characteristics of the groups driving the rally have shifted. To highlight this, in the table below we summarize the ten best and worst performing S&P 500 Industries from the close on 4/30 through yesterday. During that 35 trading day stretch, 34 Industries saw positive returns while another 27 declined.
Industries that have seen the biggest gains between the two new highs are primarily defensive in nature as all but three come from sectors that are typically considered defensive (Consumer Staples, Health Care, and Real Estate). Health Care has been the real star of the show, though. Of the sector's six different industries, four of them made the top ten!
On the downside, cyclical industries have dominated the weak side. When industries like Semis, Autos, Construction & Engineering, and Air Freight are lagging the market, it really illustrates the presence of economic concerns. Leading the way lower, Energy Equipment and Services declined over 10%, followed by Semiconductors which were down just under 10% after failing at resistance on Thursday for the third time in a month. These two industries are followed by two industries (Tobacco and Power and Renewable Energy) that come from sectors that are traditionally considered defensive, but they have their own specific issues to deal with.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for June 21st, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 06.23.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $BB
  • $FDX
  • $NKE
  • $GIS
  • $WBA
  • $STZ
  • $LEN
  • $FDS
  • $PAYX
  • $SOL
  • $CAG
  • $ACN
  • $RAD
  • $INFO
  • $SNX
  • $KBH
  • $AVAV
  • $JKS
  • $UNF
  • $SCHN
  • $MKC
  • $ATU
  • $PIR
  • $MLHR
  • $SJR
  • $AITB
  • $SKIS
  • $SGH
  • $GMS
  • $APOG
  • $FUL
  • $NG
  • $PDCO
  • $WOR
  • $ACST
  • $FC
  • $CAMP
  • $PRGS
(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 6.24.19 Before Market Open:

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

Monday 6.24.19 After Market Close:

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

Tuesday 6.25.19 Before Market Open:

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

Tuesday 6.25.19 After Market Close:

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

Wednesday 6.26.19 Before Market Open:

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

Wednesday 6.26.19 After Market Close:

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

Thursday 6.27.19 Before Market Open:

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

Thursday 6.27.19 After Market Close:

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

Friday 6.28.19 Before Market Open:

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

Friday 6.28.19 After Market Close:

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

Micron Technology, Inc. $33.25

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $0.75 per share on revenue of $4.72 billion and the Earnings Whisper ® number is $0.75 per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat The company's guidance was for earnings of $0.75 to $0.95 per share. Consensus estimates are for earnings to decline year-over-year by 75.96% with revenue decreasing by 39.46%. Short interest has decreased by 16.6% since the company's last earnings release while the stock has drifted lower by 20.3% from its open following the earnings release to be 14.5% below its 200 day moving average of $38.89. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 20, 2019 there was some notable buying of 12,540 contracts of the $25.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 5.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

BlackBerry Limited $8.48

BlackBerry Limited (BB) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, June 26, 2019. The consenus estimate is for breakeven results on revenue of $249.12 million and the Earnings Whisper ® number is $0.02 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 100.00% with revenue increasing by 16.96%. The stock has drifted lower by 14.1% from its open following the earnings release to be 4.2% below its 200 day moving average of $8.85. On Wednesday, June 12, 2019 there was some notable buying of 3,499 contracts of the $9.00 call expiring on Friday, June 28, 2019. Option traders are pricing in a 10.2% move on earnings and the stock has averaged a 8.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

FedEx Corp. $165.35

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $4.81 per share on revenue of $17.96 billion and the Earnings Whisper ® number is $4.95 per share. Investor sentiment going into the company's earnings release has 45% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 18.61% with revenue increasing by 3.73%. Short interest has increased by 60.1% since the company's last earnings release while the stock has drifted lower by 4.3% from its open following the earnings release to be 14.3% below its 200 day moving average of $192.96. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 19, 2019 there was some notable buying of 3,273 contracts of the $175.00 call expiring on Friday, July 19, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 4.8% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Nike Inc $85.75

Nike Inc (NKE) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, June 27, 2019. The consensus earnings estimate is $0.66 per share on revenue of $10.16 billion and the Earnings Whisper ® number is $0.71 per share. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 4.35% with revenue increasing by 3.79%. Short interest has increased by 0.6% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 6.8% above its 200 day moving average of $80.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 20, 2019 there was some notable buying of 3,156 contracts of the $92.50 call expiring on Friday, July 19, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 4.8% move in recent quarters.

(CLICK HERE FOR THE CHART!)

General Mills, Inc. $53.77

General Mills, Inc. (GIS) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, June 26, 2019. The consensus earnings estimate is $0.76 per share on revenue of $4.23 billion and the Earnings Whisper ® number is $0.79 per share. Investor sentiment going into the company's earnings release has 52% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 3.80% with revenue increasing by 8.73%. Short interest has increased by 1.3% since the company's last earnings release while the stock has drifted higher by 11.2% from its open following the earnings release to be 16.9% above its 200 day moving average of $45.98. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 4.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Walgreens Boots Alliance Inc $52.45

Walgreens Boots Alliance Inc (WBA) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, June 27, 2019. The consensus earnings estimate is $1.43 per share on revenue of $34.53 billion and the Earnings Whisper ® number is $1.45 per share. Investor sentiment going into the company's earnings release has 38% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 6.54% with revenue increasing by 0.57%. Short interest has decreased by 8.1% since the company's last earnings release while the stock has drifted lower by 6.1% from its open following the earnings release to be 21.7% below its 200 day moving average of $67.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, June 4, 2019 there was some notable buying of 1,012 contracts of the $50.00 put expiring on Friday, June 28, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 6.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Constellation Brands, Inc. $183.73

Constellation Brands, Inc. (STZ) is confirmed to report earnings at approximately 7:30 AM ET on Friday, June 28, 2019. The consensus earnings estimate is $2.09 per share on revenue of $2.06 billion and the Earnings Whisper ® number is $2.16 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 5.00% with revenue decreasing by 7.62%. Short interest has increased by 66.1% since the company's last earnings release while the stock has drifted higher by 2.9% from its open following the earnings release to be 3.0% below its 200 day moving average of $189.32. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 12, 2019 there was some notable buying of 1,200 contracts of the $110.00 put expiring on Friday, January 17, 2020. Option traders are pricing in a 3.2% move on earnings and the stock has averaged a 6.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Lennar Corp. $51.35

Lennar Corp. (LEN) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $1.13 per share on revenue of $5.11 billion and the Earnings Whisper ® number is $1.16 per share. Investor sentiment going into the company's earnings release has 54% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 28.48% with revenue decreasing by 6.39%. Short interest has decreased by 3.6% 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 9.6% above its 200 day moving average of $46.84. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 19, 2019 there was some notable buying of 7,349 contracts of the $52.50 call expiring on Friday, July 19, 2019. Option traders are pricing in a 6.4% move on earnings and the stock has averaged a 5.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

FactSet Research Systems, Inc. $298.08

FactSet Research Systems, Inc. (FDS) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $2.37 per share on revenue of $358.95 million and the Earnings Whisper ® number is $2.39 per share. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.72% with revenue increasing by 5.60%. Short interest has increased by 37.7% since the company's last earnings release while the stock has drifted higher by 26.3% from its open following the earnings release to be 25.6% above its 200 day moving average of $237.31. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, June 18, 2019 there was some notable buying of 2,350 contracts of the $280.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 5.7% move on earnings and the stock has averaged a 4.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Paychex, Inc. $86.52

Paychex, Inc. (PAYX) is confirmed to report earnings at approximately 8:30 AM ET on Wednesday, June 26, 2019. The consensus earnings estimate is $0.65 per share on revenue of $979.93 million and the Earnings Whisper ® number is $0.66 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 6.56% with revenue increasing by 12.49%. Short interest has decreased by 0.8% since the company's last earnings release while the stock has drifted higher by 9.1% from its open following the earnings release to be 16.0% above its 200 day moving average of $74.61. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 13, 2019 there was some notable buying of 2,024 contracts of the $90.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 4.0% move on earnings and the stock has averaged a 1.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming week ahead?
I hope you all have a fantastic weekend and a great final trading week of June and Q2 ahead wallstreetbets.
submitted by bigbear0083 to wallstreetbets [link] [comments]

Wall Street Week Ahead for the trading week beginning June 24th, 2019

Good afternoon and happy Saturday to all of you here on stocks. 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 June 24th, 2019.

What to watch in the market in the week ahead: Stocks on track for best first half in 22 years - (Source)

The fate of U.S.-China trade talks could play out in the week ahead, and that could set the tone for markets and the economy in the second half of the year.
Stocks set new highs in the past week, after the Federal Reserve signaled it was ready to cut interest rates if necessary, and Fed Chair Jerome Powell said trade and the global economy are two factors the Fed is watching.
The S&P 500 was on track, as of Friday, to score a more than 17.6% gain for the first half, which ends Friday. If it stays at that level that would be the best first half performance since 1997, when the S&P was up 19.4% in the first six months.
The big event in the coming week has been as anticipated for weeks, and it could sway sentiment for weeks to come. At the end of the week, the G-20 meets in Osaka Japan for meetings Friday and Saturday.
‘Could go either way’ President Donald Trump and Chinese President Xi Jinping are expected to have their own dinner meeting at the G-20 next weekend, following discussions between their trade representatives. That meeting could decide how trade negotiations go forward, and whether the U.S. proceeds with another round of tariffs, this time on $300 billion in goods.
“Everybody knows the Trump, Xi meeting could go either way,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “I think everyone expects a new tariff freeze. That the $300 billion won’t go into effect. The most you can hope for out of G-20 meeting is the tariffs are where they are right now, and there’s no more escalation.That also means China will not release the list of companies they won’t do business with.”
Chandler said he will be looking for signaling from Trump and Xi on whether they are working on a deal that would be just on the trade topics, or bigger issues like North Korea and differences on the South China Sea.
“I do think the G-20 is quite important in that there’s not question in recent months, the trade war started to really move into measures of confidence and measures of manufacturing activity,” said Ethan Harris, head of global economics at Bank of America Merrill Lynch. Harris said he expects a positive message with an agreement of no further escalation, but probably not signs of significant progress. “I think the vibes coming out of it will be modestly positive,” he said.
“Whether there’s an escalation to the next round of China tariffs is going to set the theme for the rest of the year. Even if tariffs on China are reversed, or partly reversed, at some point, every time there’s an escalation or temporary escalation, it’s another kind of blow to confidence,” he said.
Harris said there’s the same risk as after the Trump, Xi meeting at the last G-20, where it was a positive tone but there was little progress afterwards and the markets then reacted negatively.
“I think there’s been this broad increased awareness from every economist that the trade war is starting to have noticeable impact. Further escalation with China would be quite a big signal. If the Trump administration puts tariffs on all the Chinese products it roughly doubles the size of the trade war and it sends a very strong message that there are very few constraints on where [Trump] goes next,” he said.
Powell and data Besides the meeting between Trump and Xi, the market focus will be on anything that could provide clues on what the Fed or even the European Central Bank will do, after ECB President Mario Draghi last week basically promised a new era of easing. Consumer price inflation data is expected for the euro zone, and on Friday, the U.S. personal consumption expenditure data is released, including the PCE deflator, a major inflation indicator for the Fed.
There are also a few Fed speakers, including Powell who speaks at the Council on Foreign Relations Tuesday.
“It’s probably going to be a big picture kind of talk about the broader challenges of the Fed,” said Ethan Harris, head of global economics at Bank of America Merrill Lynch. “They’re certainly going to ask questions about political influence at the Fed, and he’s going to dodge those. I think what I’m waiting for him to comment on is what it is they’re looking for to determine whether they’re going to cut in July or not.”
Harris said Powell is not likely to say anything he did not reveal at his press briefing in the past week, and the big focus will be on the lead up to the weekend G-20.
Falling interest rates and rising oil prices were two big factors in the market int he past week. The 10-year Treasury yield dipped briefly below 2%, a near 3-year low, as the Fed signaled its willingness to cut interest rates.
“Should we get some sort of trade agreement that would be a nice pop to the [stock] market, but that could take the rate cut off the table,” said Sam Stovall, chief investment strategist at CFRA.
Stovall said the stock market will also be watching oil after its rapid run higher, and the events in the Middle East surrounding Iran. West Texas Intermediate futures were up more than 9% in the past week, to $57.43.
“The old adage is every $10 increase in the price of oil takes off 20 to 25 basis points off of real GDP growth,” he said.
Stovall said stocks have had a solid run so far this year, but they may face some rocky times between now and the end of the summer. “For the rest of this ‘sell in May’ period we could be facing some challenges, headwinds. I think we’ will still end higher on the year. I think the seasonally optimistic September to November period will kick in but there will be a lot of challenges...will the Fed be cutting rates? what are the growth prospects?” he said.

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

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

Major Indices for this past week:

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

Major Futures Markets as of Friday's close:

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

Economic Calendar for the Week Ahead:

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

Sector Performance WTD, MTD, YTD:

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

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

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

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

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

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

Big S&P 500 Junes Drain Life from Julys

S&P 500 is off to it best June performance since 1955, up 7.34% as of yesterday’s close. If yesterday was the last trading day of June, this performance would have been strong enough to push the month to 6th best going back to 1930. Looking back to late May, this performance is still impressive even though it was anticipated following May’s abysmal showing. However, such strong performance in June may not carry over into July.
Below S&P 500 performance in June has been split into positive and negative tables. Each table contains July’s historical performance as well as full-year performance. Historically July has been weaker after a positive June. July averages just 0.48% after an up June compared to a gain of 2.84% after a down June. Examining the Top 20 Junes and subsequent Julys showed only a modest improvement in performance with average July gain climbing to 1.11%. However, even if July does disappoint this year, the full year is likely to still be quite fair as past positive Junes where followed by full-year gains 80% of the time with an average gain of 13.44%.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

Can Stocks Really Gain 20% This Year?

U.S. stocks could have a big year if LPL Research’s forecasts prove correct.
All year, we’ve maintained our fair value target on the S&P 500 Index of 3,000, implying that we expect this bull market and economic expansion to continue. If the S&P 500 closes the year at 3,000, the index will have gained 19.7% in 2019.
On the surface, that seems like a high hurdle for U.S. stocks. However, the S&P 500 has already gained about 16% this year, so a rally to 3,000 isn’t far out of reach.
The S&P 500 also hasn’t posted a 20% gain for the year since 2013, an unusually long stretch compared to history.
“It is interesting that the S&P 500 hasn’t gained more than 20% in any one year for five consecutive years,” noted LPL Senior Market Strategist Ryan Detrick. “Only once since 1950 did it go more than five years in a row without gaining 20%, thus if this pattern continues we very well might get to 20% in 2019.”
As our LPL Chart of the Day “Can The S&P 500 Index Really Gain 20% This Year?” shows, it is quite rare for the S&P 500 to go this long without a 20% annual gain. Could the streak end in 2019? Be sure to read our Midyear Outlook 2019, which is set for release next week, for more on why this could be the case.
(CLICK HERE FOR THE CHART!)

Prospect of Lower Rates Lifts Gold

As widely anticipated, the Fed did not change its target rate today. Instead, the Fed set the stage for cuts possibly later this year. Overall, the market’s response was a choppy climb to a modestly higher close. A more enthusiastic move by the market may have occurred if the Fed cut rates. Gold’s reaction was more favorable, finishing the day higher by over 1%. Generally, the lower interest rates go, the more desirable gold can become as lower rates typically result in a weaker dollar.
(CLICK HERE FOR THE CHART!)
In the above chart, gold’s monthly performance from 1975 to 2018 is displayed. Historically, October has been gold’s worst month and June is a close second. Historically, after weakness in June, gold has, on average, enjoyed solid gains in July, August and September. Some of this strength in gold is likely due to safe-haven demand during the stock market’s worst two months, August and September. Gold’s best three months, July to September, could easily be above average this year, especially if the Fed decides to cut sooner rather than later.

Are Bulls An Endangered Species?

The S&P 500 Index closed at a new all-time high yesterday, the 5th new high so far in 2019. After May, the worst month for the S&P 500 since 2010, June is up 7.3% as of 06.20.19, which would be the best June since 1955.
Much of the rally this month has been sparked by a more dovish Federal Reserve (Fed), combined with U.S.-China trade discussions potentially back on track.
What’s quite interesting about things now though, is many signs of investor sentiment are a long way from bullish. Remember, from a contrarian (or opposing) point of view, this can suggest there is still money on the sidelines.
“The S&P 500 might be at new highs, but global fund managers and individual investors are quite underweight equities right now,” explained LPL Senior Market Strategist Ryan Detrick. “If you are looking for a reason this rally can continue, that could be it.”
For example, the recent Bank of America Merrill Lynch June Global Fund Manager Survey (a survey of managers who oversee more than $600 billion in assets) showed the largest jump in cash since August 2011. Additionally, equity allocation was the lowest it had been since March 2009, and the equity-to-bond allocation was the lowest since May 2009. Not to mention the allocation to bonds was the highest it had been in eight years. “Money on the sidelines might sound cliché, but it really seems to be the case this time,” said Detrick. With the S&P 500 hitting more all-time highs, having money in the market may make more sense (or cents!).
Individual investors are skeptical as well, as the recent American Association of Individual Investors (AAII) Sentiment Survey showed more bears than bulls for six straight weeks, the longest stretch since November 2016. Finally, as our LPL Chart of the Day shows, AAII bulls have been under 30% for six consecutive weeks for the first time since January 2016.

Broad Strength in Health Care Sector

In an earlier post, we highlighted the fact that some of the ten best performing S&P 500 Industries between the S&P 500's highs on 4/30 and 6/20 were from the Health Care sector. It hasn't just been these four industries that have been strong in the Health Care sector either. The performance snapshot of the sector below shows just how strong the sector has been lately. While all six of the industries within the sector aren't up YTD or so far in Q2, between the S&P 500's highs on 4/30 and 6/20, Health Care is the only sector where every industry within the sector has posted positive returns. Not even the industries within the Utilities sector have been this uniformly positive. The best performer of the bunch has been Health Care Technology, which is up 8% since the end of April and has extended its YTD gain to 36.8%. The worst performing industry in the sector has been Biotech which is up 2.1% since 4/30, and while that may not sound like much, it's still better than more than half of the other industries in the index.
(CLICK HERE FOR THE CHART!)

Best and Worst Groups Between Highs

While the S&P 500 made a new high for the first time in 35 trading days yesterday, many of the characteristics of the groups driving the rally have shifted. To highlight this, in the table below we summarize the ten best and worst performing S&P 500 Industries from the close on 4/30 through yesterday. During that 35 trading day stretch, 34 Industries saw positive returns while another 27 declined.
Industries that have seen the biggest gains between the two new highs are primarily defensive in nature as all but three come from sectors that are typically considered defensive (Consumer Staples, Health Care, and Real Estate). Health Care has been the real star of the show, though. Of the sector's six different industries, four of them made the top ten!
On the downside, cyclical industries have dominated the weak side. When industries like Semis, Autos, Construction & Engineering, and Air Freight are lagging the market, it really illustrates the presence of economic concerns. Leading the way lower, Energy Equipment and Services declined over 10%, followed by Semiconductors which were down just under 10% after failing at resistance on Thursday for the third time in a month. These two industries are followed by two industries (Tobacco and Power and Renewable Energy) that come from sectors that are traditionally considered defensive, but they have their own specific issues to deal with.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for June 21st, 2019

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

STOCK MARKET VIDEO: ShadowTrader Video Weekly 06.23.19

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $BB
  • $FDX
  • $NKE
  • $GIS
  • $WBA
  • $STZ
  • $LEN
  • $FDS
  • $PAYX
  • $SOL
  • $CAG
  • $ACN
  • $RAD
  • $INFO
  • $SNX
  • $KBH
  • $AVAV
  • $JKS
  • $UNF
  • $SCHN
  • $MKC
  • $ATU
  • $PIR
  • $MLHR
  • $SJR
  • $AITB
  • $SKIS
  • $SGH
  • $GMS
  • $APOG
  • $FUL
  • $NG
  • $PDCO
  • $WOR
  • $ACST
  • $FC
  • $CAMP
  • $PRGS
(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 6.24.19 Before Market Open:

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

Monday 6.24.19 After Market Close:

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

Tuesday 6.25.19 Before Market Open:

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

Tuesday 6.25.19 After Market Close:

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

Wednesday 6.26.19 Before Market Open:

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

Wednesday 6.26.19 After Market Close:

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

Thursday 6.27.19 Before Market Open:

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

Thursday 6.27.19 After Market Close:

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

Friday 6.28.19 Before Market Open:

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

Friday 6.28.19 After Market Close:

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

Micron Technology, Inc. $33.25

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $0.75 per share on revenue of $4.72 billion and the Earnings Whisper ® number is $0.75 per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat The company's guidance was for earnings of $0.75 to $0.95 per share. Consensus estimates are for earnings to decline year-over-year by 75.96% with revenue decreasing by 39.46%. Short interest has decreased by 16.6% since the company's last earnings release while the stock has drifted lower by 20.3% from its open following the earnings release to be 14.5% below its 200 day moving average of $38.89. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 20, 2019 there was some notable buying of 12,540 contracts of the $25.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 5.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

BlackBerry Limited $8.48

BlackBerry Limited (BB) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, June 26, 2019. The consenus estimate is for breakeven results on revenue of $249.12 million and the Earnings Whisper ® number is $0.02 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 100.00% with revenue increasing by 16.96%. The stock has drifted lower by 14.1% from its open following the earnings release to be 4.2% below its 200 day moving average of $8.85. On Wednesday, June 12, 2019 there was some notable buying of 3,499 contracts of the $9.00 call expiring on Friday, June 28, 2019. Option traders are pricing in a 10.2% move on earnings and the stock has averaged a 8.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

FedEx Corp. $165.35

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $4.81 per share on revenue of $17.96 billion and the Earnings Whisper ® number is $4.95 per share. Investor sentiment going into the company's earnings release has 45% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 18.61% with revenue increasing by 3.73%. Short interest has increased by 60.1% since the company's last earnings release while the stock has drifted lower by 4.3% from its open following the earnings release to be 14.3% below its 200 day moving average of $192.96. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 19, 2019 there was some notable buying of 3,273 contracts of the $175.00 call expiring on Friday, July 19, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 4.8% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Nike Inc $85.75

Nike Inc (NKE) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, June 27, 2019. The consensus earnings estimate is $0.66 per share on revenue of $10.16 billion and the Earnings Whisper ® number is $0.71 per share. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 4.35% with revenue increasing by 3.79%. Short interest has increased by 0.6% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 6.8% above its 200 day moving average of $80.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 20, 2019 there was some notable buying of 3,156 contracts of the $92.50 call expiring on Friday, July 19, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 4.8% move in recent quarters.

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General Mills, Inc. $53.77

General Mills, Inc. (GIS) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, June 26, 2019. The consensus earnings estimate is $0.76 per share on revenue of $4.23 billion and the Earnings Whisper ® number is $0.79 per share. Investor sentiment going into the company's earnings release has 52% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 3.80% with revenue increasing by 8.73%. Short interest has increased by 1.3% since the company's last earnings release while the stock has drifted higher by 11.2% from its open following the earnings release to be 16.9% above its 200 day moving average of $45.98. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 4.4% move in recent quarters.

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Walgreens Boots Alliance Inc $52.45

Walgreens Boots Alliance Inc (WBA) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, June 27, 2019. The consensus earnings estimate is $1.43 per share on revenue of $34.53 billion and the Earnings Whisper ® number is $1.45 per share. Investor sentiment going into the company's earnings release has 38% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 6.54% with revenue increasing by 0.57%. Short interest has decreased by 8.1% since the company's last earnings release while the stock has drifted lower by 6.1% from its open following the earnings release to be 21.7% below its 200 day moving average of $67.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, June 4, 2019 there was some notable buying of 1,012 contracts of the $50.00 put expiring on Friday, June 28, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 6.2% move in recent quarters.

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Constellation Brands, Inc. $183.73

Constellation Brands, Inc. (STZ) is confirmed to report earnings at approximately 7:30 AM ET on Friday, June 28, 2019. The consensus earnings estimate is $2.09 per share on revenue of $2.06 billion and the Earnings Whisper ® number is $2.16 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 5.00% with revenue decreasing by 7.62%. Short interest has increased by 66.1% since the company's last earnings release while the stock has drifted higher by 2.9% from its open following the earnings release to be 3.0% below its 200 day moving average of $189.32. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 12, 2019 there was some notable buying of 1,200 contracts of the $110.00 put expiring on Friday, January 17, 2020. Option traders are pricing in a 3.2% move on earnings and the stock has averaged a 6.0% move in recent quarters.

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Lennar Corp. $51.35

Lennar Corp. (LEN) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $1.13 per share on revenue of $5.11 billion and the Earnings Whisper ® number is $1.16 per share. Investor sentiment going into the company's earnings release has 54% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 28.48% with revenue decreasing by 6.39%. Short interest has decreased by 3.6% 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 9.6% above its 200 day moving average of $46.84. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 19, 2019 there was some notable buying of 7,349 contracts of the $52.50 call expiring on Friday, July 19, 2019. Option traders are pricing in a 6.4% move on earnings and the stock has averaged a 5.1% move in recent quarters.

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FactSet Research Systems, Inc. $298.08

FactSet Research Systems, Inc. (FDS) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $2.37 per share on revenue of $358.95 million and the Earnings Whisper ® number is $2.39 per share. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.72% with revenue increasing by 5.60%. Short interest has increased by 37.7% since the company's last earnings release while the stock has drifted higher by 26.3% from its open following the earnings release to be 25.6% above its 200 day moving average of $237.31. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, June 18, 2019 there was some notable buying of 2,350 contracts of the $280.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 5.7% move on earnings and the stock has averaged a 4.9% move in recent quarters.

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Paychex, Inc. $86.52

Paychex, Inc. (PAYX) is confirmed to report earnings at approximately 8:30 AM ET on Wednesday, June 26, 2019. The consensus earnings estimate is $0.65 per share on revenue of $979.93 million and the Earnings Whisper ® number is $0.66 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 6.56% with revenue increasing by 12.49%. Short interest has decreased by 0.8% since the company's last earnings release while the stock has drifted higher by 9.1% from its open following the earnings release to be 16.0% above its 200 day moving average of $74.61. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 13, 2019 there was some notable buying of 2,024 contracts of the $90.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 4.0% move on earnings and the stock has averaged a 1.3% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming week ahead?
I hope you all have a fantastic weekend and a great final trading week of June and Q2 ahead stocks.
submitted by bigbear0083 to stocks [link] [comments]

FOREX SUPPLY AND DEMAND 3 OF 12 SINGLE BAR SUPPLY AND DEMAND An Incredibly Easy 1-Minute Forex Scalping Strategy (The 3 ... Supply And Demand - In Forex And Beyond - YouTube Got to know - No Demand Bar Trade My Super Advanced Supply & Demand Forex Strategy! - What Is CPR Location Trading???

Looking for a VSA No Demand & No Supply Bar Indicator with notifications and/or email notification enabled. Found a "ndns" indicator but it doesn't have notifications. Also, does anyone know if there is a dashboard VSA indicator? Cheers Post # 2; Quote; Last Post: Apr 23, 2019 1:35am Apr 23, 2019 1:35am hm741 Joined Aug 2018 Status: Member 9 Posts. hi. take a look at the indicators here ... No demand is more important on an up bar. An up bar is a bar closing higher than previous bar. When a down trend is formed for a few days, suddenly one day it closes high (an up bar). Many would buy that share because we wanted to catch the bottom. We believed that was a trend reversal signal. But only to find out that on the following day or days, it continues on its down trend. No Demand: Up Candle and volume below the previous 2 bars - A line will be drawn at the low of the candle If possible it will draw only the last No Supply and No Demand: for example you get a No Supply candle and a line is drawn on the high of the bar and then on the following bar another No Supply candle so the previous candle line will disappear and you will get the line on this candle. SOS - No Demand Bar . Euro / U.S. Dollar MohamedMagdy FX:EURUSD Euro / U.S. Dollar. volumespreadanalisys VSA. 121 views. 5. 0. ... House rules Moderators People Pine Wizards Chat Brokers Stock Screener Forex Screener Crypto Screener Economic Calendar Shows. For business. Website & broker solutions Widgets Charting solutions Lightweight Charting Library Brokerage integration Advertising Partner ... The two no demand candles both produced nice trades, but more importantly they also formed a double top in the market, which is another good reversal signal in itself. If you look at the second no demand candle, you will also see an inside bar next to it, which is a sign of indecision in the market. A nice 50% retrace entry on that too before the sell off 🙂 Using no supply and no demand ... Supply and demand in the Forex markets is a super important factor and with your price action charts you also have the ability to see supply and demand through your charts. As previously discussed in other trading lessons on the site ; the basic reason price moves is because of traders buying and selling. Price does not move for any other reason. There are plenty of indirect reasons why price ... 1. No Demand on Up Bar. If the market rises with contracting spread and volume, the market is not showing demand. Without demand, it is not likely to continue rising. To find “No Demand” bars: Price closed higher than the previous bar. Volume is lower than past two bars. Spreads (Range) are narrow. 2. No Selling Pressure on Down Bar

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FOREX SUPPLY AND DEMAND 3 OF 12 SINGLE BAR SUPPLY AND DEMAND

Got to know - No Demand Bar MrWarrenbuffett. Loading... Unsubscribe from MrWarrenbuffett? ... Supply and Demand Forex With Volume Spread Analysis (VSA) - Duration: 8:39. Sunny Mdlalose 10,492 ... #supplyanddemandforex #forex #trading180 Learn To Trade Supply And Demand https://www.trading180.com Supply And Demand Zone Trading - Free Forex Trading Cour... There is the supply vs demand equation of a single bar vs another single bar to give you a timing signal. There is the supply vs demand equation of a swing (series of bars in one direction ). This ... Supply and Demand can affect a lot of different markets -- but not all of them. And as a result, these markets need to be traded differently. Find out why th... Watch this lesson to discover the best scalping trading strategy that could help you become more successful when trading the Forex or stock market. In this v...

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