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Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

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]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

My experience so far (advice to new investors)

Hey All,
This experience takes on two different parts. A bit of a background, I knew the reaction of the "dip" would have been similar to what we are seeing, not to the extent, but usually, people rush to "buy the dip", I entered too late though, two weeks ago.
Now two things to consider in my case, I have been trying to make a quick buck (10% or so) on my money, short term though as I expect a bigger crash (my opinion no need to fight me on it, just a guess, you might be smarter than me and have it all figured, good for you :) ). One thing to consider and what I learnt through my years of trading.
Its a gamble for the short term, if you are putting your money in for a short term, in this current market, its similar to forex in terms of volatility, it will jump up and down, and the trickiest part is to time the right exact moment to get that increase, you can get lucky. Your best luck is to enter at around 3:50 PM, aftermarket usually positive and pre-market is usually positive these days, sell at 9:40 am and you will make a decent buck.
Now, is it worth it making this gamble? well if you put into strong stocks that have a low chance of bankrupting and considered still cheap, if you mess up and you ride a crash, depending on how bad it is, you have a chance of getting your capital back in 2 years or so.
Now what have I done? I entered a stock and it preformed well previously but took a hit, (hint its an oil company) , I bought them and it rode up for a couple of days then hit down crashing, I sold today at $80 loss (if I sold right now vs 9:30 am I would've been at $500).
The other elephant in the room. You will not feel well mentally, it will add a shit load of stress for short term (unless you crap money, then good for you). Once I saw the crash, I had an appetite loss the entire day.

So short term, not worth it (gambling)
Midterm, very risky, there are some indications referring to another dip based on historical data, how accurate is this? No idea at all and no one knows (otherwise we all would be rich and don't argue this lol)
Long term, entering right now might get you a sweet % but which companies take a larger amount of your portfolio?
PS : Some stocks are almost at an all-time high, Paypal, Amazon, tesla, Shopify, I wouldn't touch them right now unless they see a 50% dip, how likely is that'? Not very likely at all, I would be dreaming lol.
Stocks is a side hustle with risks, It is not going to get you rich overnight, and whatever money you throw in here, consider it gone. Why do I say that? If you detach yourself emotionally from that hard made money, you will make smarter decisions than FOMO. If you make a wrong decision, you're not falling into depression.
submitted by TGxRaspiestimpx to stocks [link] [comments]

So you wanna trade Forex? - tips and tricks inside

Let me just sum some stuff up for you newbies out there. Ive been trading for years, last couple of years more seriously and i turned my strategies into algorithms and i am currently up to 18 algorithms thats trading for me 24/7. Ive learned alot, listened to hundreds of podcasts and read tons of books + research papers and heres some tips and tricks for any newbie out there.

  1. Strategy - How to... When people say "you need a trading strategy!!" Its because trading is very hard and emotional. You need to stick to your rules at all times. Dont panic and move your stop loss or target unless your rules tell you to. Now how do you make these rules? Well this is the part that takes alot of time. If your rules are very simple (for example: "Buy if Last candles low was the lowest low of the past 10 candles." Lets make this a rule. You can backtest it manually by looking at a chart and going back in time and check every candle. or you can code it using super simple software like prorealtime, MT4 ++ Alot of software is basicly "click and drag" and press a button and it gives you backtest from 10-20-30 years ago in 5 seconds. This is the absolute easiest way to backtest rules and systems. If your trading "pure price action" with your drawn lines and shit, the only way to truly backtest that kind of trading is going in a random forex pair to a random point in time, could be 1 year ago, 1 month ago, 5 years ago.. and then you just trade! Move chart 1 candle at a time, draw your lines and do some "actual trading" and look at your results after moving forward in the chart. If you do not test your strategy your just going in blind, which could be disaster.. Maybe someone told u "this is the correct way to trade" or "this strategy is 90% sure to win every trade!!!" If you think you can do trading without a strategy, then your most likely going to look back at an empty account and wonder why you moved that stop loss or why you didnt take profit etc.. and then your gonna give up. People on youtube, forums, interwebz are not going to give you/sell you a working strategy thats gonna make you rich. If they had a working strategy, they would not give it away/sell it to you.
  2. Money management - How to.... Gonna keep this one short. Risk a small % of your capital on each trade. Dont risk 10%, dont risk 20%. You are going to see loosing trades, your probably gonna see 5-10 loss in a row!! If your trading a 1000$ account and your risking 100$ on each trade (10%) and you loose 5 in a row, your down -50% and probably you cant even trade cus of margin req. Game over.. Now how does one get super rich, super fast, from risking 1-3% of your account on each trade?? Well heres the shocking message: YOU CANT GET RICH FAST FROM TRADING UNLESS YOUR WILLING TO GO ALL IN! You can of course go all in on each trade and if you get em all right, you might get 1000%, then you go all in 1 more time and loose it all... The whole point of trading is NOT going bust. Not loosing everything, cus if you loose it all its game over and no more trading for you.
  3. Find your own trading style.... Everyone is different. You can have an average holding period of 1 month or you could be looking at a 1 min chart and average holding time = 10 minutes. For some, less volatility helps them sleep at night. For others, more volatility gives them a rush and some people crave this. There is no "correct" timeframes, or holding periods, or how much to profit or how much to loose. We are all individuals with different taste in risk. Some dont like risk, others wanna go all in to get rich over night. The smart approach is somewhere in the middle. If you dont risk anything, your not gonna get anything. If you risk everything, your most likely going to loose everything. When people are talking about trading style, this is kinda what that means.
  4. There are mainly 2 ways to trade: Divergence and Convergence. Or in other words: Mean reversion or trend following. Lets talk about them both: Trend following is trying to find a trend and stay with the trend until its over. Mean reversion is the belief that price is too far away from the average XX of price, and sooner or later, price will have to return to its average/mean (hence the name: MEAN reversion). Trend following systems usually see a lower winrate (30-40% winrate with no money management is not uncommon to see when backtesting trend following systems.. You can add good money management to get the winrate % higher. Why is the % winrate so low? Well a market, whatever that market is, tend to get real choppy and nasty right after a huge trend. So your gonna see alot of choppy fake signals that might kill 5-6 trades in a row, until the next huge trend starts which is going to cover all the losses from the small losses before the trend took off. Then you gotta hold that trade until trade is done. How do you define "when trend starts and stops"? Well thats back to point 1, find a strategy. Try defining rules for an entry and exit and see how it goes when you backtest it. For mean reversion the win % is usually high, like 70-90% winrate, but the average winning trade is alot smaller than the average loosing trade. this happens because you are basicly trying to catch a falling knife, or catch a booming rocket. Usually when trading mean reversion, waiting for price to actually reverse can very often leave you with being "too late", so you kinda have to find "the bottom" or "the top" before it actually has bottomed/ topped out and reversed. How can you do this you ask? Well your never going to hit every top or every bottom, but you can find ways to find "the bottom-ish" or "the top-ish", thens ell as soon as price reverts back to the mean. Sometimes your gonna wish you held on to the trade for longer, but again, back to point 1: Backtest your rules and figure that shit out.

Read these 4 points and try to follow them and you are at least 4 steps closer to being a profitable trader. Some might disagree with me on some points but i think for the majority, people are going to agree that these 4 points are pretty much universal. Most traders have done or are doing these things every day, in every trade.
Here is some GREAT material to read: Kevin Davey has won trading championship multiple times and he has written multiple great books, from beginner to advanced level. Recommend these books 100%, for example: Building winning algorithmic trading systems" will give you alot to work with when it comes to all 4 of the above points. Market wizards, Reminiscences of a stock operator are 2 books that are a great read but wont give you much "trading knowledge" that you can directly use for your trading. Books on "The turtles" are great reading. Then you have podcasts and youtube. I would stay away from youtube as much as possible when it comes to "Heres how to use the rsi!!!" or "this strategy will make you rich!!". Most youtube videoes are made by people who wanna sell you a course or a book. Most of this is just pure bullshit. Youtube can very harmfull and i would honestly advice about going there for "strategy adivce" and such. Podcasts tho are amazing, i highly recommend: Better systems trader, Chat with traders, Top traders unplugged, We study billionairs, to name a few :)
Also, on a less funny note.. Please realize that you are, and i am, real fucking stupid and lazy compared to the actual pro's out there. This is why you should not go "all in" on some blind stupid strategy youve heard about. This is why this is indeed VERY FUCKING HARD and most, if not everyone has busted an account or two before realizing just this. Your dumb.. your not going to be super rich within 1 year.. You can not start with 500$ account and make millions! (some might have been able to do this, but know that for every winner, theres 999 loosers behind him that failed... Might work fine first 5 trades, then 1 fuckup tho and ur gone..
And lastly: Try using a backtesting software. Its often FREE!!! (on a demo account) and often so simple a baby could use it. If your trading lines and such there exists web broweser "games" and softwares that lets you go "1 and 1 candle ahead" in random forex pairs and that lets you trade as if its "real" as it goes.
A big backtesting trap however is backtesting "losely" by just drawing lines and looking at chart going "oh i would have taken this trade FOR SURE!! I would have made so much money!!" however this is not actually backtesting, its cherry picking and its biased beyond the grave, and its going to hurt you. Try going 1 candle at a time doing "real and live" trades and see how it goes.

Bonus point!!
many people misunderstands what indicators like the RSI is telling you. Indeed something is "overbought" or "oversold" but only compared to the last average of xx amounts of bars/candles.
It doesn't tell you that RIGHT NOW is a great time to sell or buy. It only tells you that the math formula that is RSI, gives you a number between 1-100, and when its above 70 its telling you that momentum is up compared to the last average 14 candles. This is not a complete buy/sell signal. Its more like a filter if anything. This is true for MOST indicators. They INDICATE stuff. Dont use them as pure buy/sell signals.. At least backtest that shit first! Your probably gonna be shocked at the shitty results if you "buy wehn rsi is undeer 30 and sell when RSI is above 70".

Editedit: Huge post already, why not copy paste my comment with an example showing the difference in trend following vs mean reversion:
The thing about trend following is that we never know when a trade starts and when it ends. So what often happens is that you have to buy every breakout going up, but not every breakout is a new trend. Lets do an example. Check out the photo i included here: https://imageshost.eu/image/image.RcC

THE PHOTO IS JUST AN EXAMPLE THAT SHOWS WHY A TYPICAL TREND FOLLOWING STRATEGY HAVE A "LOW" WINRATE.
THE PHOTO IS NOT SHOWING AN EXAMPLE OF MY STRATEGIES OR TRADING.

  1. We identify the big orange trend up.
  2. We see the big break down (marked with the vertical red line) this is telling us we are not going higher just yet. Our upwards trend is broken. However we might continue going up in a new trend, but when will that trend come?
  3. We can draw the blue trend very earyly using highs and lows, lines up and down. Then we begin to look for breakouts of the upper blue line. So every time price breaks upper blue line we have to buy (cus how else are we going to "catch the next trend going up?)
As you can see we get 5 false breakouts before the real breakout happens!
Now if you could tell fake breakouts from real breakouts, your gonna be rich hehe. For everyone else: Take every signal you can get, put a "tight" stop loss so in case its a fake signal you only loose a little bit. Then when breakout happens as you can clearly see in chart, your going to make back all the small losses.
So in this example we fail 5 times, but get 1 HUGE new trend going further up. This 1 huge trade, unless we fuck it up and take profits too early or shit like that, is going to win back all those small losses + more.
This is why trend following has a low winrate. You get 5 small loss and 1 big win.

Now lets flip this! Imagine if your trading Mean reversion on all the same red arrows! So every time price hits the blue line, we go short back to the bottom (or middle) again! You would have won 5 trades with small profits, but on that last one you would get stopped out so hard. Meaning 5 small wins, 1 big loss (as some have pointed out in comments, if you where trading mean reverting you would wanna buy the lows as well as short the tops - photo was suppose to show why trend following strategies have a lower % winrate.)

Final edit: sorry this looks like a wall of text on ur phones.
submitted by RipRepRop to Forex [link] [comments]

Which are your Top 5 favourite coins out of the Top 100? An analysis.

I am putting together my investment portfolio for 2018 and made a complete summary of the current Top 100. Interestingly, I noticed that all coins can be categorized into 12 markets. Which markets do you think will play the biggest role in the coming year?
Here is a complete overview of all coins in an excel sheet including name, market, TPS, risk profile, time since launch (negative numbers mean that they are launching that many months in the future) and market cap. You can also sort by all of these fields of course. Coins written in bold are the strongest contenders within their market either due to having the best technology or having a small market cap and still excellent technology and potential. https://docs.google.com/spreadsheets/d/1s8PHcNvvjuy848q18py_CGcu8elRGQAUIf86EYh4QZo/edit#gid=0
The 12 markets are
  1. Currency 13 coins
  2. Platform 25 coins
  3. Ecosystem 9 coins
  4. Privacy 10 coins
  5. Currency Exchange Tool 8 coins
  6. Gaming & Gambling 5 coins
  7. Misc 15 coins
  8. Social Network 4 coins
  9. Fee Token 3 coins
  10. Decentralized Data Storage 4 coins
  11. Cloud Computing 3 coins
  12. Stable Coin 2 coins
Before we look at the individual markets, we need to take a look of the overall market and its biggest issue scalability first:
Cryptocurrencies aim to be a decentralized currency that can be used worldwide. Its goal is to replace dollar, Euro, Yen, all FIAT currencies worldwide. The coin that will achieve that will be worth several trillion dollars.
Bitcoin can only process 7 transactions per second (TPS). In order to replace all FIAT, it would need to perform at at least VISA levels, which usually processes around 3,000 TPS, up to 25,000 TPS during peak times and a maximum of 64,000 TPS. That means that this cryptocurrency would need to be able to perform at least several thousand TPS. However, a ground breaking technology should not look at current technology to set a goal for its use, i.e. estimating the number of emails sent in 1990 based on the number of faxes sent wasn’t a good estimate.
For that reason, 10,000 TPS is the absolute baseline for a cryptocurrency that wants to replace FIAT. This brings me to IOTA, which wants to connect all 80 billion IoT devices that are expected to exist by 2025, which constantly communicate with each other, creating 80 billion or more transactions per second. This is the benchmark that cryptocurrencies should be aiming for. Currently, 8 billion devices are connected to the Internet.
With its Lightning network recently launched, Bitcoin is realistically looking at 50,000 possible soon. Other notable cryptocurrencies besides IOTA and Bitcoin are Nano with 7,000 TPS already tested, Dash with several billion TPS possible with Masternodes, Neo, LISK and RHOC with 100,000 TPS by 2020, Ripple with 50,000 TPS, Ethereum with 10,000 with Sharding.
However, it needs to be said that scalability usually goes at the cost of decentralization and security. So, it needs to be seen, which of these technologies can prove itself resilient and performant.
Without further ado, here are the coins of the first market

Market 1 - Currency:

  1. Bitcoin: 1st generation blockchain with currently bad scalability currently, though the implementation of the Lightning Network looks promising and could alleviate most scalability concerns, scalability and high energy use.
  2. Ripple: Centralized currency that might become very successful due to tight involvement with banks and cross-border payments for financial institutions; banks and companies like Western Union and Moneygram (who they are currently working with) as customers customers. However, it seems they are aiming for more decentralization now.https://ripple.com/dev-blog/decentralization-strategy-update/. Has high TPS due to Proof of Correctness algorithm.
  3. Bitcoin Cash: Bitcoin fork with the difference of having an 8 times bigger block size, making it 8 times more scalable than Bitcoin currently. Further block size increases are planned. Only significant difference is bigger block size while big blocks lead to further problems that don't seem to do well beyond a few thousand TPS. Opponents to a block size argue that increasing the block size limit is unimaginative, offers only temporary relief, and damages decentralization by increasing costs of participation. In order to preserve decentralization, system requirements to participate should be kept low. To understand this, consider an extreme example: very big blocks (1GB+) would require data center level resources to validate the blockchain. This would preclude all but the wealthiest individuals from participating.Community seems more open than Bitcoin's though.
  4. Litecoin : Little brother of Bitcoin. Bitcoin fork with different mining algorithm but not much else.Copies everything that Bitcoin does pretty much. Lack of real innovation.
  5. Dash: Dash (Digital Cash) is a fork of Bitcoin and focuses on user ease. It has very fast transactions within seconds, low fees and uses Proof of Service from Masternodes for consensus. They are currently building a system called Evolution which will allow users to send money using usernames and merchants will find it easy to integrate Dash using the API. You could say Dash is trying to be a PayPal of cryptocurrencies. Currently, cryptocurrencies must choose between decentralization, speed, scalability and can pick only 2. With Masternodes, Dash picked speed and scalability at some cost of decentralization, since with Masternodes the voting power is shifted towards Masternodes, which are run by Dash users who own the most Dash.
  6. IOTA: 3rd generation blockchain called Tangle, which has a high scalability, no fees and instant transactions. IOTA aims to be the connective layer between all 80 billion IOT devices that are expected to be connected to the Internet in 2025, possibly creating 80 billion transactions per second or 800 billion TPS, who knows. However, it needs to be seen if the Tangle can keep up with this scalability and iron out its security issues that have not yet been completely resolved.
  7. Nano: 3rd generation blockchain called Block Lattice with high scalability, no fees and instant transactions. Unlike IOTA, Nano only wants to be a payment processor and nothing else, for now at least. With Nano, every user has their own blockchain and has to perform a small amount of computing for each transaction, which makes Nano perform at 300 TPS with no problems and 7,000 TPS have also been tested successfully. Very promising 3rd gen technology and strong focus on only being the fastest currency without trying to be everything.
  8. Decred: As mining operations have grown, Bitcoin’s decision-making process has become more centralized, with the largest mining companies holding large amounts of power over the Bitcoin improvement process. Decred focuses heavily on decentralization with their PoW Pos hybrid governance system to become what Bitcoin was set out to be. They will soon implement the Lightning Network to scale up. While there do not seem to be more differences to Bitcoin besides the novel hybrid consensus algorithm, which Ethereum, Aeternity and Bitcoin Atom are also implementing, the welcoming and positive Decred community and professoinal team add another level of potential to the coin.
  9. Aeternity: We’ve seen recently, that it’s difficult to scale the execution of smart contracts on the blockchain. Crypto Kitties is a great example. Something as simple as creating and trading unique assets on Ethereum bogged the network down when transaction volume soared. Ethereum and Zilliqa address this problem with Sharding. Aeternity focuses on increasing the scalability of smart contracts and dapps by moving smart contracts off-chain. Instead of running on the blockchain, smart contracts on Aeternity run in private state channels between the parties involved in the contracts. State channels are lines of communication between parties in a smart contract. They don’t touch the blockchain unless they need to for adjudication or transfer of value. Because they’re off-chain, state channel contracts can operate much more efficiently. They don’t need to pay the network for every time they compute and can also operate with greater privacy. An important aspect of smart contract and dapp development is access to outside data sources. This could mean checking the weather in London, score of a football game, or price of gold. Oracles provide access to data hosted outside the blockchain. In many blockchain projects, oracles represent a security risk and potential point of failure, since they tend to be singular, centralized data streams. Aeternity proposes decentralizing oracles with their oracle machine. Doing so would make outside data immutable and unchangeable once it reaches Aeternity’s blockchain. Of course, the data source could still be hacked, so Aeternity implements a prediction market where users can bet on the accuracy and honesty of incoming data from various oracles.It also uses prediction markets for various voting and verification purposes within the platform. Aeternity’s network runs on on a hybrid of proof of work and proof of stake. Founded by a long-time crypto-enthusiast and early colleague of Vitalik Buterin, Yanislav Malahov. Promising concept though not product yet
  10. Bitcoin Atom: Atomic Swaps and hybrid consenus. This looks like the only Bitcoin clone that actually is looking to innovate next to Bitcoin Cash.
  11. Dogecoin: Litecoin fork, fantastic community, though lagging behind a bit in technology.
  12. Bitcoin Gold: A bit better security than bitcoin through ASIC resistant algorithm, but that's it. Not that interesting.
  13. Digibyte: Digibyte's PoS blockchain is spread over a 100,000+ servers, phones, computers, and nodes across the globe, aiming for the ultimate level of decentralization. DigiByte rebalances the load between the five mining algorithms by adjusting the difficulty of each so one algorithm doesn’t become dominant. The algorithm's asymmetric difficulty has gained notoriety and been deployed in many other blockchains.DigiByte’s adoption over the past four years has been slow. It’s still a relatively obscure currency compared its competitors. The DigiByte website offers a lot of great marketing copy and buzzwords. However, there’s not much technical information about what they have planned for the future. You could say Digibyte is like Bitcoin, but with shorter blocktimes and a multi-algorithm. However, that's not really a difference big enough to truly set themselves apart from Bitcoin, since these technologies could be implemented by any blockchain without much difficulty. Their decentralization is probably their strongest asset, however, this also change quickly if the currency takes off and big miners decide to go into Digibyte.
  14. Bitcoin Diamond Asic resistant Bitcoin and Copycat

Market 2 - Platform

Most of the cryptos here have smart contracts and allow dapps (Decentralized apps) to be build on their platform and to use their token as an exchange of value between dapp services.
  1. Ethereum: 2nd generation blockchain that allows the use of smart contracts. Bad scalability currently, though this concern could be alleviated by the soon to be implemented Lightning Network aka Plasma and its Sharding concept.
  2. EOS: Promising technology that wants to be able do everything, from smart contracts like Ethereum, scalability similar to Nano with 1000 tx/second + near instant transactions and zero fees, to also wanting to be a platform for dapps. However, EOS doesn't have a product yet and everything is just promises still. Highly overvalued right now. However, there are lots of red flags, have dumped $500 million Ether over the last 2 months and possibly bought back EOS to increase the size of their ICO, which has been going on for over a year and has raised several billion dollars. All in all, their market cap is way too high for that and not even having a product.
  3. Cardano: Similar to Ethereum/EOS, however, only promises made with no delivery yet, highly overrated right now. Interesting concept though. Market cap way too high for not even having a product. Somewhat promising technology.
  4. VeChain: Singapore-based project that’s building a business enterprise platform and inventory tracking system. Examples are verifying genuine luxury goods and food supply chains. Has one of the strongest communities in the crypto world. Most hyped token of all, with merit though.
  5. Neo: Neo is a platform, similar to Eth, but more extensive, allowing dapps and smart contracts, but with a different smart contract gas system, consensus mechanism (PoS vs. dBfT), governance model, fixed vs unfixed supply, expensive contracts vs nearly free contracts, different ideologies for real world adoption. There are currently only 9 nodes, each of which are being run by a company/entity hand selected by the NEO council (most of which are located in china) and are under contract. This means that although the locations of the nodes may differ, ultimately the neo council can bring them down due to their legal contracts. In fact this has been done in the past when the neo council was moving 50 million neo that had been locked up. Also dbft (or neo's implmentation of it) has failed underload causing network outages during major icos. The first step in decentralization is that the NEO Counsel will select trusted nodes (Universities, business partners, etc.) and slowly become less centralized that way. The final step in decentralization will be allowing NEO holders to vote for new nodes, similar to a DPoS system (ARK/EOS/LISK). NEO has a regulation/government friendly ideology. Finally they are trying to work undewith the Chinese government in regards to regulations. If for some reason they wanted it shut down, they could just shut it down.
  6. Stellar: PoS system, similar goals as Ripple, but more of a platform than only a currency. 80% of Stellar are owned by Stellar.org still, making the currency centralized.
  7. Ethereum classic: Original Ethereum that decided not to fork after a hack. The Ethereum that we know is its fork. Uninteresing, because it has a lot of less resources than Ethereum now and a lot less community support.
  8. Ziliqa: Zilliqa is building a new way of sharding. 2400 tpx already tested, 10,000 tps soon possible by being linearly scalable with the number of nodes. That means, the more nodes, the faster the network gets. They are looking at implementing privacy as well.
  9. QTUM: Enables Smart contracts on the Bitcoin blockchain. Useful.
  10. Icon: Korean ethereum. Decentralized application platform that's building communities in partnership with banks, insurance providers, hospitals, and universities. Focused on ID verification and payments. No big differentiators to the other 20 Ethereums, except that is has a product. That is a plus. Maybe cheap alternative to Ethereum.
  11. LISK: Lisk's difference to other BaaS is that side chains are independent to the main chain and have to have their own nodes. Similar to neo whole allows dapps to deploy their blockchain to. However, Lisk is currently somewhat centralized with a small group of members owning more than 50% of the delegated positions. Lisk plans to change the consensus algorithm for that reason in the near future.
  12. Rchain: Similar to Ethereum with smart contract, though much more scalable at an expected 40,000 TPS and possible 100,000 TPS. Not launched yet. No product launched yet, though promising technology. Not overvalued, probably at the right price right now.
  13. ARDR: Similar to Lisk. Ardor is a public blockchain platform that will allow people to utilize the blockchain technology of Nxt through the use of child chains. A child chain, which is a ‘light’ blockchain that can be customized to a certain extent, is designed to allow easy self-deploy for your own blockchain. Nxt claims that users will "not need to worry" about security, as that part is now handled by the main chain (Ardor). This is the chief innovation of Ardor. Ardor was evolved from NXT by the same company. NEM started as a NXT clone.
  14. Ontology: Similar to Neo. Interesting coin
  15. Bytom: Bytom is an interactive protocol of multiple byte assets. Heterogeneous byte-assets (indigenous digital currency, digital assets) that operate in different forms on the Bytom Blockchain and atomic assets (warrants, securities, dividends, bonds, intelligence information, forecasting information and other information that exist in the physical world) can be registered, exchanged, gambled and engaged in other more complicated and contract-based interoperations via Bytom.
  16. Nxt: Similar to Lisk
  17. Stratis: Different to LISK, Stratis will allow businesses and organizations to create their own blockchain according to their own needs, but secured on the parent Stratis chain. Stratis’s simple interface will allow organizations to quickly and easily deploy and/or test blockchain functionality of the Ethereum, BitShares, BitCoin, Lisk and Stratis environements.
  18. Status: Status provides access to all of Ethereum’s decentralized applications (dapps) through an app on your smartphone. It opens the door to mass adoption of Ethereum dapps by targeting the fastest growing computer segment in the world – smartphone users.16. Ark: Fork of Lisk that focuses on a smaller feature set. Ark wallets can only vote for one delegate at a time which forces delegates to compete against each other and makes cartel formations incredibly hard, if not impossible.
  19. Neblio: Similar to Neo, but 30x smaller market cap.
  20. NEM: Is similar to Neo No marketing team, very high market cap for little clarilty what they do.
  21. Bancor: Bancor is a Decentralized Liquidity Network that allows you to hold any Ethereum token and convert it to any other token in the network, with no counter party, at an automatically calculated price, using a simple web wallet.
  22. Dragonchain: The Purpose of DragonChain is to help companies quickly and easily incorporate blockchain into their business applications. Many companies might be interested in making this transition because of the benefits associated with serving clients over a blockchain – increased efficiency and security for transactions, a reduction of costs from eliminating potential fraud and scams, etc.
  23. Skycoin: Transactions with zero fees that take apparently two seconds, unlimited transaction rate, no need for miners and block rewards, low power usage, all of the usual cryptocurrency technical vulnerabilities fixed, a consensus mechanism superior to anything that exists, resistant to all conceivable threats (government censorship, community infighting, cybenucleaconventional warfare, etc). Skycoin has their own consensus algorithm known as Obelisk written and published academically by an early developer of Ethereum. Obelisk is a non-energy intensive consensus algorithm based on a concept called ‘web of trust dynamics’ which is completely different to PoW, PoS, and their derivatives. Skywire, the flagship application of Skycoin, has the ambitious goal of decentralizing the internet at the hardware level and is about to begin the testnet in April. However, this is just one of the many facets of the Skycoin ecosystem. Skywire will not only provide decentralized bandwidth but also storage and computation, completing the holy trinity of commodities essential for the new internet. Skycion a smear campaign launched against it, though they seem legit and reliable. Thus, they are probably undervalued.

Market 3 - Ecosystem

The 3rd market with 11 coins is comprised of ecosystem coins, which aim to strengthen the ease of use within the crypto space through decentralized exchanges, open standards for apps and more
  1. Nebulas: Similar to how Google indexes webpages Nebulas will index blockchain projects, smart contracts & data using the Nebulas rank algorithm that sifts & sorts the data. Developers rewarded NAS to develop & deploy on NAS chain. Nebulas calls this developer incentive protocol – basically rewards are issued based on how often dapp/contract etc. is used, the more the better the rewards and Proof of devotion. Works like DPoS except the best, most economically incentivised developers (Bookkeeppers) get the forging spots. Ensuring brains stay with the project (Cross between PoI & PoS). 2,400 TPS+, DAG used to solve the inter-transaction dependencies in the PEE (Parallel Execution Environment) feature, first crypto Wallet that supports the Lightening Network.
  2. Waves: Decentralized exchange and crowdfunding platform. Let’s companies and projects to issue and manage their own digital coin tokens to raise money.
  3. Salt: Leveraging blockchain assets to secure cash loands. Plans to offer cash loans in traditional currencies, backed by your cryptocurrency assets. Allows lenders worldwide to skip credit checks for easier access to affordable loans.
  4. CHAINLINK: ChainLink is a decentralized oracle service, the first of its kind. Oracles are defined as an ‘agent’ that finds and verifies real-world occurrences and submits this information to a blockchain to be used in smart contracts.With ChainLink, smart contract users can use the network’s oracles to retrieve data from off-chain application program interfaces (APIs), data pools, and other resources and integrate them into the blockchain and smart contracts. Basically, ChainLink takes information that is external to blockchain applications and puts it on-chain. The difference to Aeternity is that Chainlink deploys the smart contracts on the Ethereum blockchain while Aeternity has its own chain.
  5. WTC: Combines blockchain with IoT to create a management system for supply chains Interesting
  6. Ethos unifyies all cryptos. Ethos is building a multi-cryptocurrency phone wallet. The team is also building an investment diversification tool and a social network
  7. Aion: Aion is the token that pays for services on the Aeternity platform.
  8. USDT: is no cryptocurrency really, but a replacement for dollar for trading After months of asking for proof of dollar backing, still no response from Tether.

Market 4 - Privacy

The 4th market are privacy coins. As you might know, Bitcoin is not anonymous. If the IRS or any other party asks an exchange who is the identity behind a specific Bitcoin address, they know who you are and can track back almost all of the Bitcoin transactions you have ever made and all your account balances. Privacy coins aim to prevent exactly that through address fungability, which changes addresses constantly, IP obfuscation and more. There are 2 types of privacy coins, one with completely privacy and one with optional privacy. Optional Privacy coins like Dash and Nav have the advantage of more user friendliness over completely privacy coins such as Monero and Enigma.
  1. Monero: Currently most popular privacy coin, though with a very high market cap. Since their privacy is all on chain, all prior transactions would be deanonymized if their protocol is ever cracked. This requires a quantum computing attack though. PIVX is better in that regard.
  2. Zcash: A decentralized and open-source cryptocurrency that hide the sender, recipient, and value of transactions. Offers users the option to make transactions public later for auditing. Decent privacy coin, though no default privacy
  3. Verge: Calls itself privacy coin without providing private transactions, multiple problems over the last weeks has a toxic community, and way too much hype for what they have.
  4. Bytecoin: First privacy-focused cryptocurrency with anonymous transactions. Bytecoin’s code was later adapted to create Monero, the more well-known anonymous cryptocurrency. Has several scam accusations, 80% pre-mine, bad devs, bad tech
  5. Bitcoin Private: A merge fork of Bitcoin and Zclassic with Zclassic being a fork of Zcash with the difference of a lack of a founders fee required to mine a valid block. This promotes a fair distribution, preventing centralized coin ownership and control. Bitcoin private offers the optional ability to keep the sender, receiver, and amount private in a given transaction. However, this is already offered by several good privacy coins (Monero, PIVX) and Bitcoin private doesn't offer much more beyond this.
  6. Komodo: The Komodo blockchain platform uses Komodo’s open-source cryptocurrency for doing transparent, anonymous, private, and fungible transactions. They are then made ultra-secure using Bitcoin’s blockchain via a Delayed Proof of Work (dPoW) protocol and decentralized crowdfunding (ICO) platform to remove middlemen from project funding. Offers services for startups to create and manage their own Blockchains.
  7. PIVX: As a fork of Dash, PIVX uses an advanced implementation of the Zerocoin protocol to provide it’s privacy. This is a form of zeroknowledge proofs, which allow users to spend ‘Zerocoins’ that have no link back to them. Unlike Zcash u have denominations in PIVX, so they can’t track users by their payment amount being equal to the amount of ‘minted’ coins, because everyone uses the same denominations. PIVX is also implementing Bulletproofs, just like Monero, and this will take care of arguably the biggest weakness of zeroknowledge protocols: the trusted setup.
  8. Zcoin: PoW cryptocurrency. Private financial transactions, enabled by the Zerocoin Protocol. Zcoin is the first full implementation of the Zerocoin Protocol, which allows users to have complete privacy via Zero-Knowledge cryptographic proofs.
  9. Enigma: Monero is to Bitcoin what enigma is to Ethereum. Enigma is for making the data used in smart contracts private. More of a platform for dapps than a currency like Monero. Very promising.
  10. Navcoin: Like bitcoin but with added privacy and pos and 1,170 tps, but only because of very short 30 second block times. Though, privacy is optional, but aims to be more user friendly than Monero. However, doesn't really decide if it wants to be a privacy coin or not. Same as Zcash.Strong technology, non-shady team.
  11. Tenx: Raised 80 million, offers cryptocurrency-linked credit cards that let you spend virtual money in real life. Developing a series of payment platforms to make spending cryptocurrency easier. However, the question is if full privacy coins will be hindered in growth through government regulations and optional privacy coins will become more successful through ease of use and no regulatory hindrance.

Market 5 - Currency Exchange Tool

Due to the sheer number of different cryptocurrencies, exchanging one currency for the other it still cumbersome. Further, merchants don’t want to deal with overcluttered options of accepting cryptocurrencies. This is where exchange tool like Req come in, which allow easy and simple exchange of currencies.
  1. Cryptonex: Fiat and currency exchange between various blockchain services, similar to REQ.
  2. QASH: Qash is used to fuel its liquid platform which will be an exchange that will distribute their liquidity pool. Its product, the Worldbook is a multi-exchange order book that matches crypto to crypto, and crypto to fiat and the reverse across all currencies. E.g., someone is selling Bitcoin is USD on exchange1 not owned by Quoine and someone is buying Bitcoin in EURO on exchange 2 not owned by Quoine. If the forex conversions and crypto conversions match then the trade will go through and the Worldbook will match it, it'll make the sale and the purchase on either exchange and each user will get what they wanted, which means exchanges with lower liquidity if they join the Worldbook will be able to fill orders and take trade fees they otherwise would miss out on.They turned it on to test it a few months ago for an hour or so and their exchange was the top exchange in the world by 4x volume for the day because all Worldbook trades ran through it. Binance wants BNB to be used on their one exchange. Qash wants their QASH token embedded in all of their partners. More info here https://www.reddit.com/CryptoCurrency/comments/8a8lnwhich_are_your_top_5_favourite_coins_out_of_the/dwyjcbb/?context=3
  3. Kyber: network Exchange between cryptocurrencies, similar to REQ. Features automatic coin conversions for payments. Also offers payment tools for developers and a cryptocurrency wallet.
  4. Achain: Building a boundless blockchain world like Req .
  5. Req: Exchange between cryptocurrencies.
  6. Bitshares: Exchange between cryptocurrencies. Noteworthy are the 1.5 second average block times and throughput potential of 100,000 transactions per second with currently 2,400 TPS having been proven. However, bitshares had several Scam accusations in the past.
  7. Loopring: A protocol that will enable higher liquidity between exchanges and personal wallets.
  8. ZRX: Open standard for dapps. Open, permissionless protocol allowing for ERC20 tokens to be traded on the Ethereum blockchain. In 0x protocol, orders are transported off-chain, massively reducing gas costs and eliminating blockchain bloat. Relayers help broadcast orders and collect a fee each time they facilitate a trade. Anyone can build a relayer.

Market 6 - Gaming

With an industry size of $108B worldwide, Gaming is one of the largest markets in the world. For sure, cryptocurrencies will want to have a share of that pie.
  1. Storm: Mobile game currency on a platform with 9 million players.
  2. Fun: A platform for casino operators to host trustless, provably-fair gambling through the use of smart contracts, as well as creating their own implementation of state channels for scalability.
  3. Electroneum: Mobile game currency They have lots of technical problems, such as several 51% attacks
  4. Wax: Marketplace to trade in-game items

Market 7 - Misc

There are various markets being tapped right now. They are all summed up under misc.
  1. OMG: Omise is designed to enable financial services for people without bank accounts. It works worldwide and with both traditional money and cryptocurrencies.
  2. Power ledger: Australian blockchain-based cryptocurrency and energy trading platform that allows for decentralized selling and buying of renewable energy. Unique market and rather untapped market in the crypto space.
  3. Populous: A platform that connects business owners and invoice buyers without middlemen. Invoice sellers get cash flow to fund their business and invoice buyers earn interest. Similar to OMG, small market.
  4. Monacoin: The first Japanese cryptocurrency. Focused on micro-transactions and based on a popular internet meme of a type-written cat. This makes it similar to Dogecoin. Very niche, tiny market.
  5. Revain: Legitimizing reviews via the blockchain. Interesting concept, though market not as big.
  6. Augur: Platform to forecast and make wagers on the outcome of real-world events (AKA decentralized predictions). Uses predictions for a “wisdom of the crowd” search engine. Not launched yet.
  7. Substratum: Revolutionzing hosting industry via per request billing as a decentralized internet hosting system. Uses a global network of private computers to create the free and open internet of the future. Participants earn cryptocurrency. Interesting concept.
  8. Veritaseum: Is supposed to be a peer to peer gateway, though it looks like very much like a scam.
  9. TRON: Tronix is looking to capitalize on ownership of internet data to content creators. However, they plagiarized their white paper, which is a no go. They apologized, so it needs to be seen how they will conduct themselves in the future. Extremely high market cap for not having a product, nor proof of concept.
  10. Syscoin: A cryptocurrency with a decentralized marketplace that lets people buy and sell products directly without third parties. Trying to remove middlemen like eBay and Amazon.
  11. Hshare: Most likely scam because of no code changes, most likely pump and dump scheme, dead community.
  12. BAT: An Ethereum-based token that can be exchanged between content creators, users, and advertisers. Decentralized ad-network that pays based on engagement and attention.
  13. Dent: Decentralizeed exchange of mobile data, enabling mobile data to be marketed, purchased or distributed, so that users can quickly buy or sell data from any user to another one.
  14. Ncash: End to end encrypted Identification system for retailers to better serve their customers .
  15. Factom Secure record-keeping system that allows companies to store their data directly on the Blockchain. The goal is to make records more transparent and trustworthy .

Market 8 - Social network

Web 2.0 is still going strong and Web 3.0 is not going to ignore it. There are several gaming tokens already out there and a few with decent traction already, such as Steem, which is Reddit with voting through money is a very interesting one.
  1. Mithril: As users create content via social media, they will be rewarded for their contribution, the better the contribution, the more they will earn
  2. Steem: Like Reddit, but voting with money. Already launched product and Alexa rank 1,000 Thumbs up.
  3. Rdd: Reddcoin makes the process of sending and receiving money fun and rewarding for everyone. Reddcoin is dedicated to one thing – tipping on social networks as a way to bring cryptocurrency awareness and experience to the general public.
  4. Kin: Token for the platform Kik. Kik has a massive user base of 400 million people. Replacing paying with FIAT with paying with KIN might get this token to mass adoption very quickly.

Market 9 - Fee token

Popular exchanges realized that they can make a few billion dollars more by launching their own token. Owning these tokens gives you a reduction of trading fees. Very handy and BNB (Binance Coin) has been one of the most resilient tokens, which have withstood most market drops over the last weeks and was among the very few coins that could show growth.
  1. BNB: Fee token for Binance
  2. Gas: Not a Fee token for an exchange, but it is a dividend paid out on Neo and a currency that can be used to purchase services for dapps.
  3. Kucoin: Fee token for Kucoin

Market 10 - Decentralized Data Storage

Currently, data storage happens with large companies or data centers that are prone to failure or losing data. Decentralized data storage makes loss of data almost impossible by distributing your files to numerous clients that hold tiny pieces of your data. Remember Torrents? Torrents use a peer-to-peer network. It is similar to that. Many users maintain copies of the same file, when someone wants a copy of that file, they send a request to the peer-to-peer network., users who have the file, known as seeds, send fragments of the file to the requester., he requester receives many fragments from many different seeds, and the torrent software recompiles these fragments to form the original file.
  1. Gbyte: Byteball data is stored and ordered using directed acyclic graph (DAG) rather than blockchain. This allows all users to secure each other's data by referencing earlier data units created by other users, and also removes scalability limits common for blockchains, such as blocksize issue.
  2. Siacoin: Siacoin is decentralized storage platform. Distributes encrypted files to thousands of private users who get paid for renting out their disk space. Anybody with siacoins can rent storage from hosts on Sia. This is accomplish via "smart" storage contracts stored on the Sia blockchain. The smart contract provides a payment to the host only after the host has kept the file for a given amount of time. If the host loses the file, the host does not get paid.
  3. Maidsafecoin: MaidSafe stands for Massive Array of Internet Disks, Secure Access for Everyone.Instead of working with data centers and servers that are common today and are vulnerable to data theft and monitoring, SAFE’s network uses advanced P2P technology to bring together the spare computing capacity of all SAFE users and create a global network. You can think of SAFE as a crowd-sourced internet. All data and applications reside in this network. It’s an autonomous network that automatically sets prices and distributes data and rents out hard drive disk space with a Blockchain-based storage solutions.When you upload a file to the network, such as a photo, it will be broken into pieces, hashed, and encrypted. The data is then randomly distributed across the network. Redundant copies of the data are created as well so that if someone storing your file turns off their computer, you will still have access to your data. And don’t worry, even with pieces of your data on other people’s computers, they won’t be able to read them. You can earn MadeSafeCoins by participating in storing data pieces from the network on your computer and thus earning a Proof of Resource.
  4. Storj: Storj aims to become a cloud storage platform that can’t be censored or monitored, or have downtime. Your files are encrypted, shredded into little pieces called 'shards', and stored in a decentralized network of computers around the globe. No one but you has a complete copy of your file, not even in an encrypted form.

Market 11 - Cloud computing

Obviously, renting computing power, one of the biggest emerging markets as of recent years, e.g. AWS and Digital Ocean, is also a service, which can be bought and managed via the blockchain.
  1. Golem: Allows easy use of Supercomputer in exchange for tokens. People worldwide can rent out their computers to the network and get paid for that service with Golem tokens.
  2. Elf: Allows easy use of Cloud computing in exchange for tokens.

Market 12 - Stablecoin

Last but not least, there are 2 stablecoins that have established themselves within the market. A stable coin is a coin that wants to be independent of the volatility of the crypto markets. This has worked out pretty well for Maker and DGD, accomplished through a carefully diversified currency fund and backing each token by 1g or real gold respectively. DO NOT CONFUSE DGD AND MAKER with their STABLE COINS DGX and DAI. DGD and MAKER are volatile, because they are the companies of DGX and DAI. DGX and DAI are the stable coins.
  1. DGD: Platform of the Stablecoin DGX. Every DGX coin is backed by 1g of gold and make use proof of asset consensus.
  2. Maker: Platform of the Stablecoin DAI that doesn't vary much in price through widespread and smart diversification of assets.
EDIT: Added a risk factor from 0 to 10. The baseline is 2 for any crypto. Significant scandals, mishaps, shady practices, questionable technology, increase the risk factor. Not having a product yet automatically means a risk factor of 6. Strong adoption and thus strong scrutiny or positive community lower the risk factor.
EDIT2: Added a subjective potential factor from 0 to 10, where its overall potential and a small or big market cap is factored in. Bitcoin with lots of potential only gets a 9, because of its massive market cap, because if Bitcoin goes 10x, smaller coins go 100x, PIVX gets a 10 for being as good as Monero while carrying a 10x smaller market cap, which would make PIVX go 100x if Monero goes 10x.
submitted by galan77 to CryptoCurrency [link] [comments]

Wall Street Week Ahead for the trading week beginning April 15th, 2019

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning April 15th, 2019.

Some optimistic corporate outlooks in the week ahead could lift the stock market to a record - (Source)

It’s now up to corporate America to reveal whether the U.S. economy simply hit a soft patch this winter, as many suspect, or is on the verge of falling into an even deeper rut.
Earnings from a broad swath of industries, like financials, technology, transportation and consumer products roll out in the coming week as the first-quarter earnings season gets underway. According to Refinitiv, earnings are expected to decline 2.3 percent in the first negative quarter in three years, but it is business leaders’ comments on the future outlook that are even more important.
Commentary and guidance is always a big deal, but this quarter it is critical. Analysts do not agree on whether the first quarter earnings season represents the trough, or even whether the second quarter will see a gain or decline in profit growth.
At the same time, economic data, like March’s jobs report, are beginning to turn more positive, and first quarter growth has quickly gone from forecasts of nearly flattish back in January to now around 2%, on the back of better March releases. The economic data has been uneven, in part because of the government shutdown, but it has yet to prove the economy is back on track.
“The market has been very sensitive to data that’s been picking up. The market is reflecting that, even though there’s talk of an earnings recession. What you don’t want is an earnings recession leading to an economic recession. If companies believe there’s a major downturn in revenue growth, they stop spending and ultimately they fire people and that leads to a recession,” said Quincy Krosby, chief market strategist at Prudential Financial.
The stock market is also at an important inflection point, with the major indexes closing in on all-time highs. The S&P 500 pressed through 2,900 Friday, seen as a point of psychological resistance. The S&P ended the week at 2,907, for a weekly gain of 0.5%. The next target traders are watching is the closing high 2,930 on the S&P. The all-time high was an intraday 2,940, reached on Sept. 21.
Earnings season got off to a good start with J.P. Morgan Chase’s quarterly earnings report Friday. CEO Jamie Dimon was very positive, saying the U.S. economy’s expansion “could go on for years.”
“If you look at the American economy, the consumer is in good shape, balance sheets are in good shape, people are going back to the workforce, companies have plenty of capital,” Dimon told analysts during a conference call. J.P. Morgan stock rose sharply, after its record profits beat analysts’ expectations.
“Positive guidance, that’s what the market needs. [The S&P] could cross 2,900, but then again it could pull back,” said Krosby, but she said the momentum has been pointing higher. “The market has basically been endorsing 2,900 and beyond.”
Krosby said important upcoming economic reports include Empire State and Philadelphia Fed surveys Monday and Thursday respectively, for a current look at manufacturing activity in New York and the Mid-Atlantic region. There is also industrial production and retail sales Tuesday.
“Jobs data was strong. Everybody was really negative on the economy, and now we’re getting pleasant surprises,” said Marc Chandler, Bannockburn Global Forex chief market strategist. The economy added 196,000 jobs in March, bringing the monthly average to 180,000 over the past three months, even with February’s shockingly low 33,000 payrolls.
Chandler said industrial production and other data should show an improved trend over last month.
As stocks have shaken off growth fears, bond yields have also moved higher. The 10-year Treasury note was yielding 2.55% Friday, well above the lows of 2.34% reached on March 28.

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

Typical April Trading: Mid-Month Surge Stronger Second Half

Over the recent 21 years April is the top-ranked month for DJIA. April ranks #3 S&P 500, #5 for NASDAQ, #2 for Russell 1000 and #4 for Russell 2000. Average gains over the period range from a low of 1.19% by NASDAQ to a respectable 2.29% by DJIA. The first half of April used to outperform the second half, but since 1994 that has no longer been the case. In fact the second half of April is stronger over the recent 21-year period.
Early April trading is usually positive for the first 4 days then flattens off until mid-month. Then the market tends to surge from the tenth to the fifteenth trading days. DJIA tends to close out the month strongest with NASDAQ closing weakest.
Except for DJIA weighed down by Boeing (BA), stocks are having an above average month so far, which is quite typical in Pre-Election years where April has tended to be even stronger.
(CLICK HERE FOR THE CHART!)

Claims Bode Well For Equities

Earlier today on our Twitter account, we retweeted a chart from Bloomberg's Joe Weisenthal of inverted Jobless Claims versus the S&P 500. We have used this chart as an argument for the bullish case for the past several years. As we mentioned in a blog post this morning, Initial Jobless Claims came in earlier this week with a sizable drop off, down to 196K versus last week's revised 204K and expectations of 210K. This week's print was not only a new low for the current cycle, it is also the lowest reading since 1969. That sort of new low could be a good sign for equities. As shown in the chart below, claims and the S&P have mirrored each other since bottoming following the financial crisis. (In the chart, we have inverted claims on the right axis.) As the S&P 500 inches its way back towards all time highs, so has claims towards new lows. Additionally, with recent low prints for claims bucking what had previously appeared to be an upside trend reversal, the bullish case for the S&P 500 is growing.
(CLICK HERE FOR THE CHART!)

Optimism Growing Again

The American Association of Individual Investors updated their weekly investor sentiment survey this morning and the results are very similar to the final days of February with bullish sentiment around 40%, bearish down near 20%, and neutral once again in the upper 30's. Up from 35.02% last week, bullish sentiment has crossed back over the 40% threshold; the first time it has done so since the previously mentioned week in February. While bullish sentiment is sitting a couple of points above the historical average, this is still several percentage points from reaching any sort of extreme level (more than one standard deviation above the aforementioned average). For that to happen, bullish sentiment would have to come in above 48.36%. If that occurs, then it could be a sign that investors are getting a little too optimistic.
(CLICK HERE FOR THE CHART!)
Bearish sentiment, on the other hand, fell all the way back down to 20.38% this week, the lowest since its 20% reading on February 28th. That is around 10% less than the historical average for bearish sentiment. That is also at the lower end of the range bearish sentiment has stayed within in the past decade.
(CLICK HERE FOR THE CHART!)
Neutral sentiment has still yet to have moved above or below the upper 30's coming in at 39.33% this week after falling from similar levels down to 36.71% last week. That is the third time in the past month that neutral sentiment has come in between 39% and 40%.
(CLICK HERE FOR THE CHART!)

The December Low Indicator Has Bulls Smiling

After the best first quarter for the S&P 500 Index since 1998, the big question is: What happens next? We’ve already discussed why a good start to a year could lead to more gains (here and here), but today we will take a look at another potentially positive signal.
The December Low Indicator was created in the 1970s by Lucien Hooper, a former Forbes columnist and Wall Street analyst. Simply put, the indicator says that if the S&P 500 closes beneath the December low during the first quarter, it’s a warning sign for potential weakness over the balance of the year. The flipside is if it doesn’t, good times could be coming. Given the S&P 500 just went all of the first quarter without closing beneath the December 24 low, it’s worth taking a deeper dive.
Sure enough, there appears to be some truth to this concept. “The December low indicator seems quite simple, but it has a tremendous track record,” explained LPL Senior Market Strategist Ryan Detrick. “When the S&P 500 stays above the December lows throughout the first quarter, the full year has been higher an incredible 34 out of the last 34 times, which bodes well for 2019.” In fact, this warning even worked last year, as it triggered in the first quarter of 2018 and eventually played out during the big fourth quarter sell-off.
As our LPL Chart of the Day shows, when the S&P 500 stays above the December lows in the first quarter, the full year does quite well.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for April 12th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: Are Stocks Going UP Next Week? | Earnings Season Kick-Off! | ShadowTrader Video 04.14.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NFLX
  • $BAC
  • $C
  • $GS
  • $UNH
  • $JNJ
  • $APHA
  • $PIXY
  • $SCHW
  • $MTB
  • $PGR
  • $IBM
  • $ABT
  • $MS
  • $PEP
  • $BLK
  • $CMA
  • $TEAM
  • $CSX
  • $KMI
  • $AA
  • $URI
  • $ERIC
  • $WIT
  • $KSU
  • $UAL
  • $PLD
  • $ASML
  • $USB
  • $BK
  • $TXT
  • $FHN
  • $JBHT
  • $ISRG
  • $PNFP
  • $PIR
  • $LVS
  • $MLNX
  • $MBWM
  • $CCI
  • $SKX
  • $BMI
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MONDAY MORNING'S MOST NOTABLE 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 4.15.19 Before Market Open:

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

Monday 4.15.19 After Market Close:

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

Tuesday 4.16.19 Before Market Open:

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

Tuesday 4.16.19 After Market Close:

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

Wednesday 4.17.19 Before Market Open:

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

Wednesday 4.17.19 After Market Close:

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

Thursday 4.18.19 Before Market Open:

([CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Thursday 4.18.19 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Friday 4.19.19 Before Market Open:

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

Friday 4.19.19 After Market Close:

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

Netflix, Inc. $351.14

Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.57 per share on revenue of $4.49 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for earnings of approximately $0.56 per share. Consensus estimates are for earnings to decline year-over-year by 10.94% with revenue increasing by 21.32%. Short interest has increased by 10.5% since the company's last earnings release while the stock has drifted lower by 0.2% from its open following the earnings release to be 4.2% above its 200 day moving average of $336.83. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 7,925 contracts of the $400.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 5.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Bank of America Corp. $30.17

Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.65 per share on revenue of $23.29 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.84% with revenue decreasing by 14.11%. Short interest has decreased by 25.1% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.3% above its 200 day moving average of $28.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, April 9, 2019 there was some notable buying of 32,141 contracts of the $27.00 put and 32,059 contracts of the $32.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Citigroup, Inc. $67.42

Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $1.78 per share on revenue of $18.71 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.95% with revenue decreasing by 22.15%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 3.2% above its 200 day moving average of $65.31. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 29, 2019 there was some notable buying of 17,657 contracts of the $59.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.3% move on earnings and the stock has averaged a 2.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Goldman Sachs Group, Inc. $207.84

Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:40 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $4.74 per share on revenue of $8.97 billion and the Earnings Whisper ® number is $5.21 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 31.80% with revenue decreasing by 10.62%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 0.1% below its 200 day moving average of $208.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 6,817 contracts of the $220.00 call and 5,555 contracts of the $195.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 3.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

UnitedHealth Group, Inc. $223.22

UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $3.59 per share on revenue of $59.66 billion and the Earnings Whisper ® number is $3.66 per share. Investor sentiment going into the company's earnings release has 72% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.09% with revenue increasing by 8.10%. Short interest has decreased by 1.1% since the company's last earnings release while the stock has drifted lower by 10.7% from its open following the earnings release to be 13.4% below its 200 day moving average of $257.63. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 4,190 contracts of the $227.50 call and 3,732 contracts of the $227.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 3.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Johnson & Johnson $135.98

Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $2.03 per share on revenue of $19.63 billion and the Earnings Whisper ® number is $2.06 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.46% with revenue decreasing by 1.89%. Short interest has decreased by 22.0% since the company's last earnings release while the stock has drifted higher by 6.1% from its open following the earnings release to be 1.0% above its 200 day moving average of $134.65. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, April 8, 2019 there was some notable buying of 1,510 contracts of the $170.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 1.9% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aphria Inc. $10.10

Aphria Inc. (APHA) is confirmed to report earnings at approximately 7:05 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $41.11 million. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Short interest has decreased by 26.9% since the company's last earnings release while the stock has drifted higher by 57.1% from its open following the earnings release. On Thursday, April 11, 2019 there was some notable buying of 1,595 contracts of the $9.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.9% move on earnings and the stock has averaged a 5.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $1.20

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $14.84 million. Investor sentiment going into the company's earnings release has 59% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 11.11% with revenue increasing by 88.16%. Short interest has decreased by 14.8% since the company's last earnings release while the stock has drifted lower by 34.8% from its open following the earnings release to be 54.0% below its 200 day moving average of $2.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 27.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Charles Schwab Corp. $45.35

Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $0.66 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.68 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.00% with revenue increasing by 12.59%. Short interest has decreased by 5.4% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 3.8% below its 200 day moving average of $47.14. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, April 10, 2019 there was some notable buying of 3,000 contracts of the $43.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

M&T Bank Corp $167.76

M&T Bank Corp (MTB) is confirmed to report earnings at approximately 6:35 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $3.29 per share on revenue of $1.50 billion and the Earnings Whisper ® number is $3.35 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 11.90% with revenue decreasing by 2.65%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 1.6% above its 200 day moving average of $165.09. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 841 contracts of the $165.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic Sunday and a great trading week ahead to everyone here on wallstreetbets!
submitted by bigbear0083 to wallstreetbets [link] [comments]

[educational] Stretgies for day trading based on Technical Analysis

[educational] Stretgies for day trading based on Technical Analysis

1. Breakout

Breakout strategies center around when the price clears a specified level on your chart, with increased volume. The breakout trader enters into a long position after the asset or security breaks above resistance. Alternatively, you enter a short position once the stock breaks below support.
After an asset or security trades beyond the specified price barrier, volatility usually increases and prices will often trend in the direction of the breakout.
You need to find the right instrument to trade. When doing this bear in mind the asset’s support and resistance levels. The more frequently the price has hit these points, the more validated and important they become.

Entry Points

This part is nice and straightforward. Prices set to close and above resistance levels require a bearish position. Prices set to close and below a support level need a bullish position.

Plan your exits

Use the asset’s recent performance to establish a reasonable price target. Using chart patterns will make this process even more accurate. You can calculate the average recent price swings to create a target. If the average price swing has been 3 points over the last several price swings, this would be a sensible target. Once you’ve reached that goal you can exit the trade and enjoy the profit.
https://preview.redd.it/0oj4a1xlvdh31.png?width=773&format=png&auto=webp&s=8f2aa07b0c7caeeb00c4f997c12e814abbd380da

2. Scalping

One of the most popular strategies is scalping. It’s particularly popular in the forex market, and it looks to capitalise on minute price changes. The driving force is quantity. You will look to sell as soon as the trade becomes profitable. This is a fast-paced and exciting way to trade, but it can be risky. You need a high trading probability to even out the low risk vs reward ratio.
Be on the lookout for volatile instruments, attractive liquidity and be hot on timing. You can’t wait for the market, you need to close losing trades as soon as possible.
https://preview.redd.it/dzaf7t1nvdh31.png?width=653&format=png&auto=webp&s=f3d96d74311de806c3809698df2a964e3eb4db5e

3. Momentum

Popular amongst trading strategies for beginners, this strategy revolves around acting on news sources and identifying substantial trending moves with the support of high volume. There is always at least one stock that moves around 20-30% each day, so there’s ample opportunity. You simply hold onto your position until you see signs of reversal and then get out.
Alternatively, you can fade the price drop. This way round your price target is as soon as volume starts to diminish.
This strategy is simple and effective if used correctly. However, you must ensure you’re aware of upcoming news and earnings announcements. Just a few seconds on each trade will make all the difference to your end of day profits.
https://preview.redd.it/z4r2o6covdh31.png?width=600&format=png&auto=webp&s=b054c77c4bc5978821e879eff73d613d728cb0cf

4. Reversal

Although hotly debated and potentially dangerous when used by beginners, reverse trading is used all over the world. It’s also known as trend trading, pull back trending and a mean reversion strategy.
This strategy defies basic logic as you aim to trade against the trend. You need to be able to accurately identify possible pullbacks, plus predict their strength. To do this effectively you need in-depth market knowledge and experience.
The ‘daily pivot’ strategy is considered a unique case of reverse trading, as it centers on buying and selling the daily low and high pullbacks/reverse.
https://preview.redd.it/4ya3txcpvdh31.png?width=776&format=png&auto=webp&s=f40216413b1376b2d6d5a67e4d09057f55be6ba1

5. Using Pivot Points

A day trading pivot point strategy can be fantastic for identifying and acting on critical support and/or resistance levels. It is particularly useful in the forex market. In addition, it can be used by range-bound traders to identify points of entry, while trend and breakout traders can use pivot points to locate key levels that need to break for a move to count as a breakout.

Calculating Pivot Points

A pivot point is defined as a point of rotation. You use the prices of the previous day’s high and low, plus the closing price of a security to calculate the pivot point.
Note that if you calculate a pivot point using price information from a relatively short time frame, accuracy is often reduced.
So, how do you calculate a pivot point?
  • Central Pivot Point (P) = (High + Low + Close) / 3
You can then calculate support and resistance levels using the pivot point. To do that you will need to use the following formulas:
  • First Resistance (R1) = (2*P) – Low
  • First Support (S1) = (2*P) – High
The second level of support and resistance is then calculated as follows:
  • Second Resistance (R2) = P + (R1-S1)
  • Second Support (S2) = P – (R1- S1)

Application

When applied to the FX market, for example, you will find the trading range for the session often takes place between the pivot point and the first support and resistance levels. This is because a high number of traders play this range.
It’s also worth noting, this is one of the systems & methods that can be applied to indexes too. For example, it can help form an effective S&P day trading strategy

6. Moving Average Crossover

You will need three moving average lines:
  • One set at 20 periods – This is your fast moving average
  • One set at 60 periods – This is your slow moving average
  • One set at 100 periods – This is your trend indicator
This is one of the moving averages strategies that generates a buy signal when the fast moving average crosses up and over the slow moving average. A sell signal is generated simply when the fast moving average crosses below the slow moving average.
So, You’ll open a position when the moving average line crosses in one direction and you’ll close the position when it crosses back the opposite way.
How can you establish there’s definitely a trend? You know the trend is on if the price bar stays above or below the 100-period line.

the source : https://www.daytrading.com/strategies
submitted by JalelTounsi to ethfinance [link] [comments]

2018 Cryptocurrency Crash (Elliott Wave): Inflection Point

2018 Cryptocurrency Crash (Elliott Wave): Inflection Point
Crosspost: https://bitcointalk.org/index.php?topic=2711461.msg47569859#msg47569859
History
—08-JAN-2018: Elliott Wave, https://redd.it/7ptsg3
—12-JAN-2018: Crypto Black Monday, https://redd.it/7pxg0d
—24-JAN-2018: Dotcom vs Crypto, https://redd.it/7skzff
—21-FEB-2018: Bear Market Resumes, https://redd.it/7z8u6n
—28-FEB-2018: Halfway Through, https://redd.it/7umjf9
—13-MAR-2018: Fare Thee Well Ten Thousand, #10kNeverAgain: https://redd.it/842ssd
—19-MAR-2018: Equinox, https://redd.it/85m5tr
—03-APR-2018: April Fools’ Rally, https://redd.it/89jqye
—19-APR-2018: 420 High, https://redd.it/8dbz4f
—25-APR-2018: Symmetrical Triangle, https://redd.it/8ev2ki
—06-MAY-2018: Ten Thousand Tease, https://redd.it/8hdhjn
—29-MAY-2018: Triangle Phinance, https://redd.it/8mwx6z
—10-JUN-2018: Triangle Phinance II, https://redd.it/8q5p68
—23-JUL-2018: Redux, https://redd.it/913xx6
—02-SEP-2018: #ShortSeptember, https://redd.it/9c96vk
—04-NOV-2018: Inflection Point, https://redd.it/9u1y3z
TLDR: https://i.imgur.com/EGmziB1.png
The Bitcoin and cryptocurrency bear market of 2018 has reached a point of inflection, where alternative scenarios and projections can now be explored using Elliott Wave theory.
From the 17-DEC-2017 high to the 06-FEB-2018 low, the Bitcoin market endured a 70% price collapse from the all-time high of $19,891 to a low of $6,000 in just 51 days (BITFINEX). In Elliott Wave parlance, this first phase crash is a simple but sharp three wave a-b-c zigzag pattern.
From the 06-FEB-2018 low, the Bitcoin market then wandered sideways for 168 days until 24-JUL-2018, creating a floor of support at $6,000 whilst making successively lower highs. The psychological $6,000 price has been guarded since it marks support of the psychological USD$100 billion Bitcoin marketcap. In Elliott Wave parlance, this second phase of market development is a triangle pattern consisting of five a-b-c-d-e waves. The internal structure of the waves within the triangle are related to each other in terms of length as the following Fibonacci ratios:
wave-c = wave-a * 0.618 wave-d = wave-b * 0.786 wave-e = wave-c * 0.786 
https://i.imgur.com/Bm4Nx7a.png
The triangle phase of the Bitcoin market completed at the 24-JUL-2018 high. Since then, the third phase of market has been underway with an expectation of creating new lows for 2018 at sub $6,000 prices. Initial approx targets have been projected as follows (BITSTAMP):
@5920: Fibonacci 0.618% of wave-d low projected from wave-e high. @5220: Fibonacci 0.786% of wave-d low projected from wave-e high. @4327: Fibonacci 0.100% of wave-d low projected from wave-e high. @4200: Fibonacci 78.6% decline of entire Bitcoin market. 
Any of the aforementioned approx price levels based on Fibonacci projections are potential targets of where the 2018 bear market may conclude.
Should price retrace below the Fibonacci 78.6% of the entire Bitcoin market, i.e. below the psychological $4,000 level; it may suggest the bear market extends into 2019 with an expectation of a 90%-95% decline of the entire Bitcoin market to approx $1,000 by 2020. Such a scenario would be consistent with the collapse of other historical asset mania bubble bursts, which typically elapse 2 years on average: thebubblebubble.com/historic-crashes
However, the Bitcoin market has reached an inflection point. The third phase of the bear market appears to have stagnated in price and time. Since 09-SEP-2018, price has traded in a narrow 10% range at an average price of $6,400 for almost 60 days thus far. Volatility is now at a 22-month low and technicals such as moving averages are flat-lining across daily timeframes. This behaviour has been quite unexpected. Since completion of the consolidating triangle phase of the market, volume and volatility was expected to breakout. Speculators and traders have left the stabilised cryptocurrency marketplace in favour of the more volatile global equity bear markets.
An alternative scenario can now be considered: Since completion of the triangle at the 24-JUL-2018 high, the concluding phase of the bear market may have declined and truncated at the 11-OCT-2018 low. If so, a cyclical (i.e. short-term) bull market may be commencing within an overall secular (i.e. long-term) bear market. Such a bull market would be termed as a wave-X as part of a complex ongoing long-term bear market structure.
https://i.imgur.com/vePkBiL.png
In some schools of Elliott Wave thought, the wave-X bull market may unfold in five 1-2-3-4-5 impulsive waves; or, as three a-b-c corrective waves considered in other schools of thought. Either way, the size of a wave-X is challenging to predict. Typically, it may retrace either a Fibonacci 38.2%, 50%, 61.8% or 78.6% of the entire 2018 bear market; that is approx $11,081 or $12,720 or $14,360 or $16,705 respectively (BITSTAMP). In some cases, a wave-X may extend to, and even exceed prior all-time highs, like typically seen in commodity and forex markets. The wave-X cyclical bull market could be a swift parabolic move elapsing within 12 months during the course of 2019, and thus the overall secular bear market may still resume to unfold to a low in late 2020.
In summary, the parameters of the inflection point can be currently defined as follows, using BITSTAMP prices…
Bear Market Inflection Points
—A break below the 11-OCT-2018 low of $6,055 would be the first indication to suggest the bear market is still underway.
—A break below the 14-AUG-2018 low of $5,880 would confirm the ongoing bear market.
—A break below $4,000 may suggest an extended bear market leading to a 90%-95% collapse of the entire Bitcoin market by 2020.
Bull Market Inflection Points
—A break above the 15-OCT-2018 high of $6,756 would be the first indication to suggest a bull market may be commencing.
—A break above the 04-SEP-2018 high of $7,412 would likely confirm a bull market is underway.
Notes
—Bitcoin CBOE XBT futures expiries: 14-NOV-2018, 19-DEC-2018
—Bitcoin CME futures last trade dates: 30-NOV-2018, 28-DEC-2018
—Bitcoin ICE Bakkt daily futures tentative launch: 12-DEC-2018
—S&P500: global stockmarket indices appear to have topped, and a bear market is underway. Expectation is a rally into the end of year 2018 towards $2,800+ in the S&P500 index, followed by a decline to approx $2,400 by Easter 2019 to end the brief equity bear market.
—Gold: rally underway, expectation to conclude at approx $1,260, and then bear market resumes to sub $1,000 by 2020.
—US Dollar: expecting uptrend to be bounded by approx 98, and then bear market resumes.
Elliott Wave models are speculative and indicative of price and structure, not time; i.e. the projections may occur sooner or later than anticipated.
—BTC (Weekly): https://i.imgur.com/B0ftUHf.png
—BTC (Daily): https://i.imgur.com/ljfMvlt.png
—BTC (4-hr): https://i.imgur.com/Ip1QQTe.png
submitted by 12345abcde00001 to BitcoinMarkets [link] [comments]

Wall Street Week Ahead for the trading week beginning April 15th, 2019

Hey what's happening StockMarket! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning April 15th, 2019.

Some optimistic corporate outlooks in the week ahead could lift the stock market to a record - (Source)

It’s now up to corporate America to reveal whether the U.S. economy simply hit a soft patch this winter, as many suspect, or is on the verge of falling into an even deeper rut.
Earnings from a broad swath of industries, like financials, technology, transportation and consumer products roll out in the coming week as the first-quarter earnings season gets underway. According to Refinitiv, earnings are expected to decline 2.3 percent in the first negative quarter in three years, but it is business leaders’ comments on the future outlook that are even more important.
Commentary and guidance is always a big deal, but this quarter it is critical. Analysts do not agree on whether the first quarter earnings season represents the trough, or even whether the second quarter will see a gain or decline in profit growth.
At the same time, economic data, like March’s jobs report, are beginning to turn more positive, and first quarter growth has quickly gone from forecasts of nearly flattish back in January to now around 2%, on the back of better March releases. The economic data has been uneven, in part because of the government shutdown, but it has yet to prove the economy is back on track.
“The market has been very sensitive to data that’s been picking up. The market is reflecting that, even though there’s talk of an earnings recession. What you don’t want is an earnings recession leading to an economic recession. If companies believe there’s a major downturn in revenue growth, they stop spending and ultimately they fire people and that leads to a recession,” said Quincy Krosby, chief market strategist at Prudential Financial.
The stock market is also at an important inflection point, with the major indexes closing in on all-time highs. The S&P 500 pressed through 2,900 Friday, seen as a point of psychological resistance. The S&P ended the week at 2,907, for a weekly gain of 0.5%. The next target traders are watching is the closing high 2,930 on the S&P. The all-time high was an intraday 2,940, reached on Sept. 21.
Earnings season got off to a good start with J.P. Morgan Chase’s quarterly earnings report Friday. CEO Jamie Dimon was very positive, saying the U.S. economy’s expansion “could go on for years.”
“If you look at the American economy, the consumer is in good shape, balance sheets are in good shape, people are going back to the workforce, companies have plenty of capital,” Dimon told analysts during a conference call. J.P. Morgan stock rose sharply, after its record profits beat analysts’ expectations.
“Positive guidance, that’s what the market needs. [The S&P] could cross 2,900, but then again it could pull back,” said Krosby, but she said the momentum has been pointing higher. “The market has basically been endorsing 2,900 and beyond.”
Krosby said important upcoming economic reports include Empire State and Philadelphia Fed surveys Monday and Thursday respectively, for a current look at manufacturing activity in New York and the Mid-Atlantic region. There is also industrial production and retail sales Tuesday.
“Jobs data was strong. Everybody was really negative on the economy, and now we’re getting pleasant surprises,” said Marc Chandler, Bannockburn Global Forex chief market strategist. The economy added 196,000 jobs in March, bringing the monthly average to 180,000 over the past three months, even with February’s shockingly low 33,000 payrolls.
Chandler said industrial production and other data should show an improved trend over last month.
As stocks have shaken off growth fears, bond yields have also moved higher. The 10-year Treasury note was yielding 2.55% Friday, well above the lows of 2.34% reached on March 28.

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

Typical April Trading: Mid-Month Surge Stronger Second Half

Over the recent 21 years April is the top-ranked month for DJIA. April ranks #3 S&P 500, #5 for NASDAQ, #2 for Russell 1000 and #4 for Russell 2000. Average gains over the period range from a low of 1.19% by NASDAQ to a respectable 2.29% by DJIA. The first half of April used to outperform the second half, but since 1994 that has no longer been the case. In fact the second half of April is stronger over the recent 21-year period.
Early April trading is usually positive for the first 4 days then flattens off until mid-month. Then the market tends to surge from the tenth to the fifteenth trading days. DJIA tends to close out the month strongest with NASDAQ closing weakest.
Except for DJIA weighed down by Boeing (BA), stocks are having an above average month so far, which is quite typical in Pre-Election years where April has tended to be even stronger.
(CLICK HERE FOR THE CHART!)

Claims Bode Well For Equities

Earlier today on our Twitter account, we retweeted a chart from Bloomberg's Joe Weisenthal of inverted Jobless Claims versus the S&P 500. We have used this chart as an argument for the bullish case for the past several years. As we mentioned in a blog post this morning, Initial Jobless Claims came in earlier this week with a sizable drop off, down to 196K versus last week's revised 204K and expectations of 210K. This week's print was not only a new low for the current cycle, it is also the lowest reading since 1969. That sort of new low could be a good sign for equities. As shown in the chart below, claims and the S&P have mirrored each other since bottoming following the financial crisis. (In the chart, we have inverted claims on the right axis.) As the S&P 500 inches its way back towards all time highs, so has claims towards new lows. Additionally, with recent low prints for claims bucking what had previously appeared to be an upside trend reversal, the bullish case for the S&P 500 is growing.
(CLICK HERE FOR THE CHART!)

Optimism Growing Again

The American Association of Individual Investors updated their weekly investor sentiment survey this morning and the results are very similar to the final days of February with bullish sentiment around 40%, bearish down near 20%, and neutral once again in the upper 30's. Up from 35.02% last week, bullish sentiment has crossed back over the 40% threshold; the first time it has done so since the previously mentioned week in February. While bullish sentiment is sitting a couple of points above the historical average, this is still several percentage points from reaching any sort of extreme level (more than one standard deviation above the aforementioned average). For that to happen, bullish sentiment would have to come in above 48.36%. If that occurs, then it could be a sign that investors are getting a little too optimistic.
(CLICK HERE FOR THE CHART!)
Bearish sentiment, on the other hand, fell all the way back down to 20.38% this week, the lowest since its 20% reading on February 28th. That is around 10% less than the historical average for bearish sentiment. That is also at the lower end of the range bearish sentiment has stayed within in the past decade.
(CLICK HERE FOR THE CHART!)
Neutral sentiment has still yet to have moved above or below the upper 30's coming in at 39.33% this week after falling from similar levels down to 36.71% last week. That is the third time in the past month that neutral sentiment has come in between 39% and 40%.
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The December Low Indicator Has Bulls Smiling

After the best first quarter for the S&P 500 Index since 1998, the big question is: What happens next? We’ve already discussed why a good start to a year could lead to more gains (here and here), but today we will take a look at another potentially positive signal.
The December Low Indicator was created in the 1970s by Lucien Hooper, a former Forbes columnist and Wall Street analyst. Simply put, the indicator says that if the S&P 500 closes beneath the December low during the first quarter, it’s a warning sign for potential weakness over the balance of the year. The flipside is if it doesn’t, good times could be coming. Given the S&P 500 just went all of the first quarter without closing beneath the December 24 low, it’s worth taking a deeper dive.
Sure enough, there appears to be some truth to this concept. “The December low indicator seems quite simple, but it has a tremendous track record,” explained LPL Senior Market Strategist Ryan Detrick. “When the S&P 500 stays above the December lows throughout the first quarter, the full year has been higher an incredible 34 out of the last 34 times, which bodes well for 2019.” In fact, this warning even worked last year, as it triggered in the first quarter of 2018 and eventually played out during the big fourth quarter sell-off.
As our LPL Chart of the Day shows, when the S&P 500 stays above the December lows in the first quarter, the full year does quite well.
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STOCK MARKET VIDEO: Stock Market Analysis Video for April 12th, 2019

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STOCK MARKET VIDEO: Are Stocks Going UP Next Week? | Earnings Season Kick-Off! | ShadowTrader Video 04.14.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NFLX
  • $BAC
  • $C
  • $GS
  • $UNH
  • $JNJ
  • $APHA
  • $PIXY
  • $SCHW
  • $MTB
  • $PGR
  • $IBM
  • $ABT
  • $MS
  • $PEP
  • $BLK
  • $CMA
  • $TEAM
  • $CSX
  • $KMI
  • $AA
  • $URI
  • $ERIC
  • $WIT
  • $KSU
  • $UAL
  • $PLD
  • $ASML
  • $USB
  • $BK
  • $TXT
  • $FHN
  • $JBHT
  • $ISRG
  • $PNFP
  • $PIR
  • $LVS
  • $MLNX
  • $MBWM
  • $CCI
  • $SKX
  • $BMI
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MONDAY MORNING'S MOST NOTABLE 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 4.15.19 Before Market Open:

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

Monday 4.15.19 After Market Close:

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

Tuesday 4.16.19 Before Market Open:

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

Tuesday 4.16.19 After Market Close:

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

Wednesday 4.17.19 Before Market Open:

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

Wednesday 4.17.19 After Market Close:

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

Thursday 4.18.19 Before Market Open:

([CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Thursday 4.18.19 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Friday 4.19.19 Before Market Open:

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

Friday 4.19.19 After Market Close:

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

Netflix, Inc. $351.14

Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.57 per share on revenue of $4.49 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for earnings of approximately $0.56 per share. Consensus estimates are for earnings to decline year-over-year by 10.94% with revenue increasing by 21.32%. Short interest has increased by 10.5% since the company's last earnings release while the stock has drifted lower by 0.2% from its open following the earnings release to be 4.2% above its 200 day moving average of $336.83. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 7,925 contracts of the $400.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 5.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Bank of America Corp. $30.17

Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.65 per share on revenue of $23.29 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.84% with revenue decreasing by 14.11%. Short interest has decreased by 25.1% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.3% above its 200 day moving average of $28.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, April 9, 2019 there was some notable buying of 32,141 contracts of the $27.00 put and 32,059 contracts of the $32.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.6% move in recent quarters.

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Citigroup, Inc. $67.42

Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $1.78 per share on revenue of $18.71 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.95% with revenue decreasing by 22.15%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 3.2% above its 200 day moving average of $65.31. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 29, 2019 there was some notable buying of 17,657 contracts of the $59.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.3% move on earnings and the stock has averaged a 2.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Goldman Sachs Group, Inc. $207.84

Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:40 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $4.74 per share on revenue of $8.97 billion and the Earnings Whisper ® number is $5.21 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 31.80% with revenue decreasing by 10.62%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 0.1% below its 200 day moving average of $208.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 6,817 contracts of the $220.00 call and 5,555 contracts of the $195.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 3.1% move in recent quarters.

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UnitedHealth Group, Inc. $223.22

UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $3.59 per share on revenue of $59.66 billion and the Earnings Whisper ® number is $3.66 per share. Investor sentiment going into the company's earnings release has 72% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.09% with revenue increasing by 8.10%. Short interest has decreased by 1.1% since the company's last earnings release while the stock has drifted lower by 10.7% from its open following the earnings release to be 13.4% below its 200 day moving average of $257.63. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 4,190 contracts of the $227.50 call and 3,732 contracts of the $227.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 3.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Johnson & Johnson $135.98

Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $2.03 per share on revenue of $19.63 billion and the Earnings Whisper ® number is $2.06 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.46% with revenue decreasing by 1.89%. Short interest has decreased by 22.0% since the company's last earnings release while the stock has drifted higher by 6.1% from its open following the earnings release to be 1.0% above its 200 day moving average of $134.65. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, April 8, 2019 there was some notable buying of 1,510 contracts of the $170.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 1.9% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aphria Inc. $10.10

Aphria Inc. (APHA) is confirmed to report earnings at approximately 7:05 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $41.11 million. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Short interest has decreased by 26.9% since the company's last earnings release while the stock has drifted higher by 57.1% from its open following the earnings release. On Thursday, April 11, 2019 there was some notable buying of 1,595 contracts of the $9.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.9% move on earnings and the stock has averaged a 5.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $1.20

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $14.84 million. Investor sentiment going into the company's earnings release has 59% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 11.11% with revenue increasing by 88.16%. Short interest has decreased by 14.8% since the company's last earnings release while the stock has drifted lower by 34.8% from its open following the earnings release to be 54.0% below its 200 day moving average of $2.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 27.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Charles Schwab Corp. $45.35

Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $0.66 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.68 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.00% with revenue increasing by 12.59%. Short interest has decreased by 5.4% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 3.8% below its 200 day moving average of $47.14. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, April 10, 2019 there was some notable buying of 3,000 contracts of the $43.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

M&T Bank Corp $167.76

M&T Bank Corp (MTB) is confirmed to report earnings at approximately 6:35 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $3.29 per share on revenue of $1.50 billion and the Earnings Whisper ® number is $3.35 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 11.90% with revenue decreasing by 2.65%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 1.6% above its 200 day moving average of $165.09. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 841 contracts of the $165.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic Sunday and a great trading week ahead to everyone here on StockMarket!
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A Simple Forex tool that identifies sideways, low stop, trending, low & high volatility for you Volatility VS Liquidity for Traders - YouTube Strategies for This Market - When Low Volatility Meets High Skew Trading Stable vs Volatile and Exotic Currencies Trading High Volatile Market Vs Low Volatile Market using Options - Option hydra Preview - 02 Selling Options in Low vs High Implied Volatility  Strategy LAB Simple and profitable strategy to trade forex and ... Forex Volatility: How To 'Forecast' Forex Volatility In FX Markets! Low and high volatility in the maŕkets What is Volatility? - Tactics for Trading in High Volatility Markets

Trading High vs Low Volatility Currency Pairs. In the world of forex trading, currency pairs have different levels of volatility – some high, some low. This means that your trading method should be different, depending on the volatility of currency pair that you’re trading. The article will explore some of the differences you should remember when trading high or low volatility currency ... High implied volatility indicates there is a greater chance of large price swings expected by traders whereas low implied volatility signals the market expects price movements to be relatively tame. The simplest definition of Forex volatility is the currency rate’s price range — the difference between the period’s High and Low rates. The wider is the range, the bigger is the difference, the more volatile the currency pair is. For example, in our recent study of FX pairs’ trendedness, we used exactly this definition of volatility. More broadly, volatility can be defined as FX rate ... While High Beta staged a strong comeback, Low Volatility lagged the market and was the worst-performing factor. It is perhaps not surprising that these factors exhibited the behavior that they did ... Liquid markets such as forex tend to move in smaller increments because their high liquidity results in lower volatility. More traders trading at the same time usually results in the price making small movements up and down. However, drastic and sudden movements are also possible in the forex market. Since currencies are affected by so many political, economical, and social events, there are ... 2017 was a low volatility year for the DAX with erratic price movements. Is the recent decline in the market pointing to a dead cat bounce or a resumption of strength with volatility thrown into the mix. Trading Forex / CFDs is High Risk. By normalizing for volatility, theoretically, high and low volatility investments can have equal impact on a portfolio’s total return. This leads us to a different way to view risk. Risk is the ...

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A Simple Forex tool that identifies sideways, low stop, trending, low & high volatility for you

The forex market fluctuates between high volatility and low volatility behaviour with the greatest opportunities for profit lying in the transition from low to high volatility, which is often ... The low volatility and high SKEW has drained the options market of many of the most widely used strategies. In this extended weekend video let's review what volatility and SKEW is, why it's ... In this video, you will get a simple way of trading forex especially volatility indices using MACD and stochastic indicators. There we trade based on diverge... Trading High Volatile Market Vs Low Volatile Market using Options - Option hydra Preview - 02 1) How to Identify Different Volatile Phases in the Market 2) Why identifying volatile phases matters ... In this video, we show you a forex tool that we easily identify currencies that are likely to trade sideways. or to trend, or that have high volatility and low volatility - this will also help you ... Volatility VS Liquidity for Traders covering a hugely important topic. Check out the full article here: http://www.envisionchart.com/volatility-vs-liquidity/... - Higher spread charges - it will cost you a lot more to trade and the liquidity in the underlying is less. As such you will probably want to reduce your position size. As such you will probably ... Low Volatility Option Strategies ... knowing the best entry points with simply strategy in forex - Duration: 8:32. HOTPOT GH 1,671 views. 8:32 ... • How to go behind the VIX and learn what volatility really is • How the pros use it to their advantage • To understand how Beta, ATR and volatility tie together I've covered in great detail why selling options in times of high implied volatility is beneficial. But, what about selling in times of LOW implied volatilit...

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