How to Trade Double Bottoms and Double Tops - My Trading ...

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.
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Strat for 50 - 100% a Year - Common Points, Example of Setup 3 and First Weeks Results.

Strat for 50 - 100% a Year - Common Points, Example of Setup 3 and First Weeks Results.
Part 1
Part 2

We're going to start this post with dealing with common heckles. Some people have heckled me already in this posting series. I know from having done things like this publicly a few times before there are catchphrase heckles to be dealt with, and we'll do this one and for all here. If I've linked you here, you've done a FMH (Frequently Made Heckle).
If you're not a heckler, you can skip the line break for the strategy stuff, but this section may still be interesting for you.
FMH 1 : Elliot wave does not work all the time.

I know. The clock in my living-room does not work all the time. If it tells me it's 2am and I look out and it's broad day light, I use some discerning judgement based on my experience of looking out of a window, and I suspect it may be incorrect. If it tells me it's 8.30am and I look out and see little kids with school bags walking past the window, I suspect the clock may have a point.

When I write all the rules and exceptions in my posts, I am not doing this to make the posts longer. These are rules and exceptions designed to describe situations when it probably is happening. Of course it does not "Always work". I am not say it does. Your assumption I have not thought through the same extraordinary simplistic, "But, what if ...." questions is either you under estimating me, over estimating you, or both.

FMH 2 : Fibs levels do not work, studies show it is as good as random.

Two points. Firstly, I've read some of these studies. These hypothetical things done by people who have never traded in the market and want to produce intellectual ideas about it. While reading through the method of the experiment it's apparent to me it won't work. I could save them some time if they call me and tell me their hypothesis;

"Nope. You'll lose about 20% a year doing that. Good general idea. Okay starting point, but you get fucked here, here and here. Work on that".
I will not value the opinion of someone paid to write papers on fibs over my experience being paid to trade them. I will not go out my way to try to get you to value my opinion. I've learned people will either test things I say and know the truth of them for their selves with me posting the amount of interesting evidence/results that I do, and others would not test it if I posted a million examples.

Point two. Not perfect does not mean not practical. Fib levels do not react absolutely perfectly. I suspect the reason for this is so many people use them to put stops behind these days. In days gone by, they were probably more accurate, but as stop clusters became more predictable and concentrated this change. Game theory sort of stuff. Read more about my thoughts on this here.

The thing is, for those who pay enough time and attention, there are patterns of when the fibs either do work very well, or "do not work" in the exact same way over and over again. If they do "not work" in the same way over and over, that's the same as working to me. I am looking for patterns to trade for profit. Not to compile a pretty chart of data points as to if price turned specifically on the 61.8 over a million samples.

FMH 3 - "Everything you're saying is wrong", "You're an idiot", "I am non-specifically and non-constructively disagreeing" (Yeah, people drop that last one, verbatim, all the time)

Pics, or it didn't happen. I am willing to "get up here" so to speak and succeed or fail in front of everyone. I'm posting what I do, and explaining all my rational. Results are being tracked. Time and continuity will display my outcomes. Is there a way you suggest you can provide stronger proof I am wrong that I am proposing to prove I am right?

If you're just saying you think I am stupid, because you know the market so much better than me my standard reply is as follows;

" If you'd like to propose, explain and track a strategy you think will outperform this we can both keep our records and that will best determine who's opinions have profitability. It seems something that would be good for the community. "

Pics or it didn't happen. Only analysts and economists are paid for opinions. My job demands a far more practical approach.

FMH 4 - "What REALLY happened with (insert news related thing) this and your guesses were just lucky".

If I said it would happen yesterday, then set trades for it happening and profited from them today; it does not matter to me the reason you give me for it tomorrow. If you choose to view the market as being like this, you may. If it ever does start to become more relevant to me making profits or not, I will pay attention to other things. Right now, I do not follow them closely and that has never mattered. Either I am consistently lucky, physic or right. Pick the flavor for you.

I will not engage in conversation on any of these points coming from a closed minded perspective. By which I mean you only commenting to tell me why you're right. If you feel someone has to add balance with these comments, go ahead. I encourage people to be scientific in their approach and having different viewpoints helps with this. Do your own experiments.

I will answer honest questions, and will gladly engage people who disagree with me and do so from the perspective of personal study. Usually we can both learn and teach if both of us have firsthand knowledge. This is rare, but enjoyable.

==================================================================================================

On to GBPUSD. As I said may be possible in the previous post, the trade for the bigger run up post Chicago was missed. This can happen. It's better to miss bad opportunities than squander good money on bad ones, and at the time I had the option of entering, there was no way to tell the difference between these - so I did nothing.

Later in the day price continued to be consistent with the formations of a spike pattern. Here I engaged the market.

GBPUSD 1 Minute

My entering pattern was to first open two small trades with a 13 pip stop. This was an emergency stop, I always planned to tighten it up (it'd only hit in the event of an immediate capitulation). The risk here was about 0.15%. When the market moved a bit lower, I entered more positions and having more data felt better about where to place stops. All stops went to 6 pips or less (bigger position, same starting risk).

As price reached the best level, I opened my largest trade. Stop went from 3 - 6 pips with big stops being 2 pips. Effective stop something like 3-4 pips. Targets hit for 10 - 12 pips, giving an effective pay off on risk just short of 1:3. I do not use aggressive position sizing in this part of the trade (usually it already carries made profits), so the net risk was low. Around 0.25%. Net gain in positions was 0.6%.

GBPUSD 1 min
From left to right the positions get bigger. Notice also the biggest position (low) takes profit a good bit before where I forecast the high (bulk close). This trade hitting should give assurance of breakeven on this trade, so the risk on capital is gone on this trade on a double top move, then profits accumulated in the breakout.

Results for the day;


https://preview.redd.it/96zq7cy1j9i31.png?width=821&format=png&auto=webp&s=d324348621a5c0931a90de207fe8aebb116f934d


Current Gain = 0.65%
Max risk exposure possible - 0.4%
Max real equity drawdown - < 0.2%

Due to not being entirely available for trading today this was a big under-performance of what the strategy could have achieved. It's been a decent example day to show the logistics of how the trades can form. To make 2 - 3% today with the same draw-down was possible.
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96 Elliott Wave and Zigzag (5-3-5)

96 Elliott Wave and Zigzag (5-3-5)
96 Elliott Wave and Zigzag (5-3-5)
A single zigzag in a bull market is a simple three-wave declining pattern labeled A-B-C. The subwave sequence is 5-3-5, and the top of wave B is noticeably lower than the start of wave A, as illustrated in Figures 1-22 and 1-23.
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In a bear market, a zigzag correction takes place in the opposite direction, as shown in Figures 1-24 and 1-25. For this reason, a zigzag in a bear market is often referred to as an inverted zigzag.
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Occasionally zigzags will occur twice, or at most, three times in succession, particularly when the first zigzag falls short of a normal target. In these cases, each zigzag is separated by an intervening "three," producing what is called a double zigzag (see Figure 1-26) or triple zigzag. These formations are analogous to the extension of an impulse wave but are less common. The correction in the Dow Jones Industrial Average from July to October 1975 (see Figure 1-27) can be labeled as a double zigzag, as can the correction in the Standard and Poor’s 500 stock index from January 1977 to March 1978 (see Figure 1-28). Within impulses, second waves frequently sport zigzags, while fourth waves rarely do.
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R.N. Elliott’s original labeling of double and triple zigzags and double and triple threes (see later section) was a quick shorthand. He denoted the intervening movements as wave X, so that double corrections were labeled A-B-C-X-A-B-C. Unfortunately, this notation improperly indicated the degree of the actionary subwaves of each simple pattern. They were labeled as being only one degree less than the entire correction when in fact, they are two degrees smaller. We have eliminated this problem by introducing a useful notational device: labeling the successive actionary components of double and triple corrections as waves W, Y and Z, so that the entire pattern is counted "W-X-Y (-X-Z)." The letter W now denotes the first corrective pattern in a double or triple correction, Y the second, and Z the third of a triple. Each subwave thereof (A, B or C, as well as D or E of a triangle — see later section) is now properly seen as two degrees smaller than the entire correction. Each wave X is a reactionary wave and thus always a corrective wave, typically another zigzag.
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📷
https://i.redd.it/t9a8umh82lg41.gif
Figure 1-24

Figure 1-25
Flat (3-3-5)
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A flat correction differs from a zigzag in that the subwave sequence is 3-3-5, as shown in Figures 1-29 and 1-30. Since the first actionary wave, wave A, lacks sufficient downward force to unfold into a full five waves as it does in a zigzag, the B wave reaction, not surprisingly, seems to inherit this lack of countertrend pressure and terminates near the start of wave A. Wave C, in turn, generally terminates just slightly beyond the end of wave A rather than significantly beyond as in zigzags.
📷
https://i.redd.it/7dap3j592lg41.gif
Figure 1-29

Figure 1-30
In a bear market, the pattern is the same but inverted, as shown in Figures 1-31 and 1-32.
A flat correction usually retraces less of the preceding impulse wave than does a zigzag. It tends to occur when the larger trend is strong, so it virtually always precedes or follows an extension. The more powerful the underlying trend, the briefer the flat tends to be. Within an impulse, the fourth wave frequently sports a flat, while the second wave rarely does.
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What might be called a "double flat" does occur. However, Elliott categorized such a formation as a "double three," a term we discuss later in this chapter.
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The word "flat" is used as a catch-all name for any A-B-C correction that subdivides 3-3-5. In Elliott literature, however, three types of 3-3-5 corrections have been named by differences in their overall shape. In a regular flat correction, wave B terminates about at the level of the beginning of wave A, and wave C terminates a slight bit past the end of wave A, as we have shown in Figures 1-29 through 1-32. Far more common, however, is the variety we call an expanded flat, which contains a price extreme beyond that of the preceding impulse wave. Elliott called this variation an "irregular" flat, although the word is inappropriate as they are actually far more common than "regular" flats.
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In expanded flats, wave B of the 3-3-5 pattern terminates beyond the starting level of wave A, and wave C ends more substantially beyond the ending level of wave A, as shown for bull markets in Figures 1-33 and 1-34 and bear markets in Figures 1-35 and 1-36. The formation in the DJIA from August to November 1973 was an expanded flat correction in a bear market, or an "inverted expanded flat" (see Figure 1-37).
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In a rare variation on the 3-3-5 pattern, which we call a running flat, wave B terminates well beyond the beginning of wave A as in an expanded flat, but wave C fails to travel its full distance, falling short of the level at which wave A ended, as in Figures 1-38 through 1-41. Apparently in this case, the forces in the direction of the larger trend are so powerful that the pattern is skewed in that direction. The result is akin to the truncation of an impulse.
It is always important, but particularly when concluding that a running flat has taken place, that the internal subdivisions adhere to Elliott’s rules. If the supposed B wave, for instance, breaks down into five waves rather than three, it is more likely the first wave up of the impulse of next higher degree. The power of adjacent impulse waves is important in recognizing running corrections, which tend to occur only in strong and fast markets.
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We must issue a warning, however. There are hardly any examples of this type of correction in the price record. Never label a correction prematurely this way, or you’ll find yourself wrong nine times out of ten. A running triangle, in contrast, is much more common (see next section).
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Looking to become a pro trader

Hi.
For quite some time I'm looking at cryptocurrency markets and I very want to join this gig as a trader, but I'm feeling my knowledge of TA, FA and markets is far from being sufficient to perform profitably so I'm looking for a bootcamp or course that can get me on board.
I've tried several courses but stuck on some of their common issues:
Ideally what I'm looking for is a big fundamental course like zero to pro covering TA, FA, other kinds of analysis of crypto markets with later instructor support on my trades when I'll start on my own (paper or real).
Maybe I'm overcomplicating things, but "money don't grow on trees" so before I start doing something with my hard earned $$$ I really want to be sure I know what I'm doing and I've got someone able to tell me what I did wrong to avoid same mistakes later.
All advises are welcome, especially those you've used to get into trading yourself.
Thanks!
P. S. I've seen a couple of similar questions around, but they didn't get much attention or had answers like copy-paste from google result page. I really would love to hear about your personal experience. How did you get in? What was your way? Did you graduate from some course and still in the markets?
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‘’Pirates’’ will save crypto?

Perhaps, why not! However, what stops crypto from bullish growing? To my mind, the main reasons are not the volatility and lack of clear legal regulation, but the lack of new users (new blood), which creates a ‘’narrow’’ market. Why is this not a PR message? A message that can potentially attract the attention of brand new users who cannot take into account other investment tools (because of their complexity or high entry point or just because of the restrictions of policies of accredited investors).
If you invested in bitcoin (or in another functional cryptocurrency) exactly a year ago, then even now despite the market drop caused by the new “black swan” - a recession against the background of coronavirus, you would get more than 35% growth.
Why do we see that the audience of followers is not updated? Why all the projects are fighting for the same fans who entered the crypto before 2018 and continuing to place media uselessly on the same sites? As we all remember, until 2018, each project had access to 2 billion audience through a whole set of tools from advertising on social networks to context advertising. We used LinkedIn, reddit, twitter and of course, the 2 main tools for attracting traffic (google and Facebook). Each crypto project, using these marketing instruments, brought its advertising messages to a new audience, not only carrying out the KPI of the project, but also fueling up interest in the blockchain as a whole industry; thereby increasing the demand for crypto and its liquidity. Like any new financial instrument, crypto is faced with the resistance of the old financial system:
· misinformation on TV and the mass media (crypto is a lie, crypto is a drug and terrorism)
· pressure from regulators (SEC refused, limited, punished)
· And, of course, a decision that has the most “destructive” effect - a ban on the largest advertising platforms in the world.
Unfortunately, the sweet times before the “ban” can no longer come back. Since January 2018, advertising of blockchain and cryptocurrency projects on most of the platforms in the world and social networks has been prohibited. The first to limit the right to advertise were Google AdWords and DoubleClick, introducing a direct ban on advertising content in terms of cryptocurrencies and related materials. A similar situation with context advertising is in Yandex Direct. Social networks also show unfair attitude to the crypto industry. Nonetheless, the crypto industry is approaching a line that it becomes simply impossible to ignore. After all, no matter how the new model is revolutionary and capable of making the world a better place — it is doomed to die if no one knows about it. Of course, if you have a good marketing agency, and you are a large and successful venture blockchain project (from the top of best and most famous), with all the necessary licenses, you can still compete for banning in fb and google. Moreover, although it takes a long time, I know several projects that now have permission for official advertising. Despite the fact that the largest platforms have banned startup blockchain advertising, there are still ways to promote it.
What should everyone else do? What to do for a new comer that is just entering the market. Or for an old project that failed to get into the top of the most recognizable? ‘’Use your existing inventory’’ - it seems like the most important piece of advice that almost every project follows. Now we see how hundreds of projects are simultaneously placing on the same platforms (crypto news, ICO listings, bloggers), squeezing the last attention and investments from the same target groups. What are the results? They are obvious. Fundraising is falling, the number of new users and investors is not increasing, and liquidity is falling. In addition, for these reasons, in the last year, crypto has finally turned out from an instrument that would destroy the hegemony of big money, into an instrument - not very studied and too volatile.
What to do in order to revive the interest to crypto? Right now, to start to search and apply new traffic tools. Sources that can give huge coverage and this will help attract new users to your project, for whom you can become the first successful investment in the blockchain. What to study from? What and how to apply? The easiest way, as always, is to learn the experience of those who live in the world of advertising restrictions for a very long period. For example - casinos, forex, bookmakers, unlicensed video etc. We analyzed the largest representatives of these advertisers and chose the most effective method of placement, which appeared in the top of all advertisers – pirate sites with unlicensed content. It is also not a secret that many well-known offline and online retailers and not only are not ashamed of advertising on such sites along with advertising of the above-discriminated businesses. In addition, the crypto industry can be considered so far as discriminated in its rights.
What makes pirate sites so attractive? The main sense of advertising on resources with unlicensed content is the incredibly large coverage of the audience at relatively low prices. The largest resources provide 10 million unique visitors every month. The cost differs depending on the format – pre roll, branding, banner, and order of display. Price - from $ 10 for 1 thousand unique views. It is also worth considering the possibility of paying with crypto and a simple workflow, which allows you to make placements for very young and unknown companies. Technically, such platforms can track all interested users, so that later they can activate their attention in other campaigns to optimize marketing and advertising costs, which will allow the advertiser to save the customer’s budget in such a financially turbulent time, while generating even more leads. Indeed, traditional media today are still too expensive and do not have such technical capabilities of their platforms. The millionth audience of pirate resources is explained by the fact that the user loves unlicensed content, and such a user has other interests and hobbies, including the crypto, blockchain, venture projects and much more, which is so discriminated in advertising by official media and social networks. The ethical issue in the modern world of capitalist chaos caused by the global crisis can be left aside, as for marketing strategies, such ‘’pirate’’ resources:
· provide an opportunity to build moderate total project costs
· save on advertising, but do not limit yourself in their use
· as much as possible and as soon as possible can reach your target group and collect leads
· despite of discrimination to the dissemination of information about the crypto and blockchain project, to have workarounds to gather your audience
· not depend constantly on the changing policies of official expensive advertiser's platforms and their instructions
That is precisely what projects need in order to be successful during the limitation and expensive media.
If you are interested in the opportunities described above or you can offer services that will help crypto projects gather more audiences - feel free to write me: [[email protected]](mailto:[email protected]) or in telegram - u/golubev_serge
Sergey Golubev (Сергей Голубев)
EU structural funds, ICO/STO/IEO projects, NGO & investment projects, project management, comprehensive support for business
submitted by Golubyev_Sergiy to content_marketing [link] [comments]

‘’Pirates’’ will save crypto?

Perhaps, why not! However, what stops crypto from bullish growing? To my mind, the main reasons are not the volatility and lack of clear legal regulation, but the lack of new users (new blood), which creates a ‘’narrow’’ market. Why is this not a PR message? A message that can potentially attract the attention of brand new users who cannot take into account other investment tools (because of their complexity or high entry point or just because of the restrictions of policies of accredited investors).
If you invested in bitcoin (or in another functional cryptocurrency) exactly a year ago, then even now despite the market drop caused by the new “black swan” - a recession against the background of coronavirus, you would get more than 35% growth.
Why do we see that the audience of followers is not updated? Why all the projects are fighting for the same fans who entered the crypto before 2018 and continuing to place media uselessly on the same sites? As we all remember, until 2018, each project had access to 2 billion audience through a whole set of tools from advertising on social networks to context advertising. We used LinkedIn, reddit, twitter and of course, the 2 main tools for attracting traffic (google and Facebook). Each crypto project, using these marketing instruments, brought its advertising messages to a new audience, not only carrying out the KPI of the project, but also fueling up interest in the blockchain as a whole industry; thereby increasing the demand for crypto and its liquidity. Like any new financial instrument, crypto is faced with the resistance of the old financial system:
· misinformation on TV and the mass media (crypto is a lie, crypto is a drug and terrorism)
· pressure from regulators (SEC refused, limited, punished)
· And, of course, a decision that has the most “destructive” effect - a ban on the largest advertising platforms in the world.
Unfortunately, the sweet times before the “ban” can no longer come back. Since January 2018, advertising of blockchain and cryptocurrency projects on most of the platforms in the world and social networks has been prohibited. The first to limit the right to advertise were Google AdWords and DoubleClick, introducing a direct ban on advertising content in terms of cryptocurrencies and related materials. A similar situation with context advertising is in Yandex Direct. Social networks also show unfair attitude to the crypto industry. Nonetheless, the crypto industry is approaching a line that it becomes simply impossible to ignore. After all, no matter how the new model is revolutionary and capable of making the world a better place — it is doomed to die if no one knows about it. Of course, if you have a good marketing agency, and you are a large and successful venture blockchain project (from the top of best and most famous), with all the necessary licenses, you can still compete for banning in fb and google. Moreover, although it takes a long time, I know several projects that now have permission for official advertising. Despite the fact that the largest platforms have banned startup blockchain advertising, there are still ways to promote it.
What should everyone else do? What to do for a new comer that is just entering the market. Or for an old project that failed to get into the top of the most recognizable? ‘’Use your existing inventory’’ - it seems like the most important piece of advice that almost every project follows. Now we see how hundreds of projects are simultaneously placing on the same platforms (crypto news, ICO listings, bloggers), squeezing the last attention and investments from the same target groups. What are the results? They are obvious. Fundraising is falling, the number of new users and investors is not increasing, and liquidity is falling. In addition, for these reasons, in the last year, crypto has finally turned out from an instrument that would destroy the hegemony of big money, into an instrument - not very studied and too volatile.
What to do in order to revive the interest to crypto? Right now, to start to search and apply new traffic tools. Sources that can give huge coverage and this will help attract new users to your project, for whom you can become the first successful investment in the blockchain. What to study from? What and how to apply? The easiest way, as always, is to learn the experience of those who live in the world of advertising restrictions for a very long period. For example - casinos, forex, bookmakers, unlicensed video etc. We analyzed the largest representatives of these advertisers and chose the most effective method of placement, which appeared in the top of all advertisers – pirate sites with unlicensed content. It is also not a secret that many well-known offline and online retailers and not only are not ashamed of advertising on such sites along with advertising of the above-discriminated businesses. In addition, the crypto industry can be considered so far as discriminated in its rights.
What makes pirate sites so attractive? The main sense of advertising on resources with unlicensed content is the incredibly large coverage of the audience at relatively low prices. The largest resources provide 10 million unique visitors every month. The cost differs depending on the format – pre roll, branding, banner, and order of display. Price - from $ 10 for 1 thousand unique views. It is also worth considering the possibility of paying with crypto and a simple workflow, which allows you to make placements for very young and unknown companies. Technically, such platforms can track all interested users, so that later they can activate their attention in other campaigns to optimize marketing and advertising costs, which will allow the advertiser to save the customer’s budget in such a financially turbulent time, while generating even more leads. Indeed, traditional media today are still too expensive and do not have such technical capabilities of their platforms. The millionth audience of pirate resources is explained by the fact that the user loves unlicensed content, and such a user has other interests and hobbies, including the crypto, blockchain, venture projects and much more, which is so discriminated in advertising by official media and social networks. The ethical issue in the modern world of capitalist chaos caused by the global crisis can be left aside, as for marketing strategies, such ‘’pirate’’ resources:
· provide an opportunity to build moderate total project costs
· save on advertising, but do not limit yourself in their use
· as much as possible and as soon as possible can reach your target group and collect leads
· despite of discrimination to the dissemination of information about the crypto and blockchain project, to have workarounds to gather your audience
· not depend constantly on the changing policies of official expensive advertiser's platforms and their instructions
That is precisely what projects need in order to be successful during the limitation and expensive media.
If you are interested in the opportunities described above or you can offer services that will help crypto projects gather more audiences - feel free to write me: [[email protected]](mailto:[email protected]) or in telegram - u/golubev_serge
Sergey Golubev (Сергей Голубев)
EU structural funds, ICO/STO/IEO projects, NGO & investment projects, project management, comprehensive support for business
submitted by Golubyev_Sergiy to DigitalMarketing [link] [comments]

‘’Pirates’’ will save crypto?

Perhaps, why not! However, what stops crypto from bullish growing? To my mind, the main reasons are not the volatility and lack of clear legal regulation, but the lack of new users (new blood), which creates a ‘’narrow’’ market. Why is this not a PR message? A message that can potentially attract the attention of brand new users who cannot take into account other investment tools (because of their complexity or high entry point or just because of the restrictions of policies of accredited investors).
If you invested in bitcoin (or in another functional cryptocurrency) exactly a year ago, then even now despite the market drop caused by the new “black swan” - a recession against the background of coronavirus, you would get more than 35% growth.
Why do we see that the audience of followers is not updated? Why all the projects are fighting for the same fans who entered the crypto before 2018 and continuing to place media uselessly on the same sites? As we all remember, until 2018, each project had access to 2 billion audience through a whole set of tools from advertising on social networks to context advertising. We used LinkedIn, reddit, twitter and of course, the 2 main tools for attracting traffic (google and Facebook). Each crypto project, using these marketing instruments, brought its advertising messages to a new audience, not only carrying out the KPI of the project, but also fueling up interest in the blockchain as a whole industry; thereby increasing the demand for crypto and its liquidity. Like any new financial instrument, crypto is faced with the resistance of the old financial system:
· misinformation on TV and the mass media (crypto is a lie, crypto is a drug and terrorism)
· pressure from regulators (SEC refused, limited, punished)
· And, of course, a decision that has the most “destructive” effect - a ban on the largest advertising platforms in the world.
Unfortunately, the sweet times before the “ban” can no longer come back. Since January 2018, advertising of blockchain and cryptocurrency projects on most of the platforms in the world and social networks has been prohibited. The first to limit the right to advertise were Google AdWords and DoubleClick, introducing a direct ban on advertising content in terms of cryptocurrencies and related materials. A similar situation with context advertising is in Yandex Direct. Social networks also show unfair attitude to the crypto industry. Nonetheless, the crypto industry is approaching a line that it becomes simply impossible to ignore. After all, no matter how the new model is revolutionary and capable of making the world a better place — it is doomed to die if no one knows about it. Of course, if you have a good marketing agency, and you are a large and successful venture blockchain project (from the top of best and most famous), with all the necessary licenses, you can still compete for banning in fb and google. Moreover, although it takes a long time, I know several projects that now have permission for official advertising. Despite the fact that the largest platforms have banned startup blockchain advertising, there are still ways to promote it.
What should everyone else do? What to do for a new comer that is just entering the market. Or for an old project that failed to get into the top of the most recognizable? ‘’Use your existing inventory’’ - it seems like the most important piece of advice that almost every project follows. Now we see how hundreds of projects are simultaneously placing on the same platforms (crypto news, ICO listings, bloggers), squeezing the last attention and investments from the same target groups. What are the results? They are obvious. Fundraising is falling, the number of new users and investors is not increasing, and liquidity is falling. In addition, for these reasons, in the last year, crypto has finally turned out from an instrument that would destroy the hegemony of big money, into an instrument - not very studied and too volatile.
What to do in order to revive the interest to crypto? Right now, to start to search and apply new traffic tools. Sources that can give huge coverage and this will help attract new users to your project, for whom you can become the first successful investment in the blockchain. What to study from? What and how to apply? The easiest way, as always, is to learn the experience of those who live in the world of advertising restrictions for a very long period. For example - casinos, forex, bookmakers, unlicensed video etc. We analyzed the largest representatives of these advertisers and chose the most effective method of placement, which appeared in the top of all advertisers – pirate sites with unlicensed content. It is also not a secret that many well-known offline and online retailers and not only are not ashamed of advertising on such sites along with advertising of the above-discriminated businesses. In addition, the crypto industry can be considered so far as discriminated in its rights.
What makes pirate sites so attractive? The main sense of advertising on resources with unlicensed content is the incredibly large coverage of the audience at relatively low prices. The largest resources provide 10 million unique visitors every month. The cost differs depending on the format – pre roll, branding, banner, and order of display. Price - from $ 10 for 1 thousand unique views. It is also worth considering the possibility of paying with crypto and a simple workflow, which allows you to make placements for very young and unknown companies. Technically, such platforms can track all interested users, so that later they can activate their attention in other campaigns to optimize marketing and advertising costs, which will allow the advertiser to save the customer’s budget in such a financially turbulent time, while generating even more leads. Indeed, traditional media today are still too expensive and do not have such technical capabilities of their platforms. The millionth audience of pirate resources is explained by the fact that the user loves unlicensed content, and such a user has other interests and hobbies, including the crypto, blockchain, venture projects and much more, which is so discriminated in advertising by official media and social networks. The ethical issue in the modern world of capitalist chaos caused by the global crisis can be left aside, as for marketing strategies, such ‘’pirate’’ resources:
· provide an opportunity to build moderate total project costs
· save on advertising, but do not limit yourself in their use
· as much as possible and as soon as possible can reach your target group and collect leads
· despite of discrimination to the dissemination of information about the crypto and blockchain project, to have workarounds to gather your audience
· not depend constantly on the changing policies of official expensive advertiser's platforms and their instructions
That is precisely what projects need in order to be successful during the limitation and expensive media.
If you are interested in the opportunities described above or you can offer services that will help crypto projects gather more audiences - feel free to write me: [[email protected]](mailto:[email protected]) or in telegram - u/golubev_serge
Sergey Golubev (Сергей Голубев)
EU structural funds, ICO/STO/IEO projects, NGO & investment projects, project management, comprehensive support for business
submitted by Golubyev_Sergiy to digital_marketing [link] [comments]

‘’Pirates’’ will save crypto?

If you invested in bitcoin (or in another functional cryptocurrency) exactly a year ago, then even now despite the market drop caused by the new “black swan” - a recession against the background of coronavirus, you would get more than 35% growth.
Why do we see that the audience of followers is not updated? Why all the projects are fighting for the same fans who entered the crypto before 2018 and continuing to place media uselessly on the same sites? As we all remember, until 2018, each project had access to 2 billion audience through a whole set of tools from advertising on social networks to context advertising. We used LinkedIn, reddit, twitter and of course, the 2 main tools for attracting traffic (google and Facebook). Each crypto project, using these marketing instruments, brought its advertising messages to a new audience, not only carrying out the KPI of the project, but also fueling up interest in the blockchain as a whole industry; thereby increasing the demand for crypto and its liquidity. Like any new financial instrument, crypto is faced with the resistance of the old financial system:
· misinformation on TV and the mass media (crypto is a lie, crypto is a drug and terrorism)
· pressure from regulators (SEC refused, limited, punished)
· And, of course, a decision that has the most “destructive” effect - a ban on the largest advertising platforms in the world.
Unfortunately, the sweet times before the “ban” can no longer come back. Since January 2018, advertising of blockchain and cryptocurrency projects on most of the platforms in the world and social networks has been prohibited. The first to limit the right to advertise were Google AdWords and DoubleClick, introducing a direct ban on advertising content in terms of cryptocurrencies and related materials. A similar situation with context advertising is in Yandex Direct. Social networks also show unfair attitude to the crypto industry. Nonetheless, the crypto industry is approaching a line that it becomes simply impossible to ignore. After all, no matter how the new model is revolutionary and capable of making the world a better place — it is doomed to die if no one knows about it. Of course, if you have a good marketing agency, and you are a large and successful venture blockchain project (from the top of best and most famous), with all the necessary licenses, you can still compete for banning in fb and google. Moreover, although it takes a long time, I know several projects that now have permission for official advertising. Despite the fact that the largest platforms have banned startup blockchain advertising, there are still ways to promote it.
What should everyone else do? What to do for a new comer that is just entering the market. Or for an old project that failed to get into the top of the most recognizable? ‘’Use your existing inventory’’ - it seems like the most important piece of advice that almost every project follows. Now we see how hundreds of projects are simultaneously placing on the same platforms (crypto news, ICO listings, bloggers), squeezing the last attention and investments from the same target groups. What are the results? They are obvious. Fundraising is falling, the number of new users and investors is not increasing, and liquidity is falling. In addition, for these reasons, in the last year, crypto has finally turned out from an instrument that would destroy the hegemony of big money, into an instrument - not very studied and too volatile.
What to do in order to revive the interest to crypto? Right now, to start to search and apply new traffic tools. Sources that can give huge coverage and this will help attract new users to your project, for whom you can become the first successful investment in the blockchain. What to study from? What and how to apply? The easiest way, as always, is to learn the experience of those who live in the world of advertising restrictions for a very long period. For example - casinos, forex, bookmakers, unlicensed video etc. We analyzed the largest representatives of these advertisers and chose the most effective method of placement, which appeared in the top of all advertisers – pirate sites with unlicensed content. It is also not a secret that many well-known offline and online retailers and not only are not ashamed of advertising on such sites along with advertising of the above-discriminated businesses. In addition, the crypto industry can be considered so far as discriminated in its rights.
What makes pirate sites so attractive? The main sense of advertising on resources with unlicensed content is the incredibly large coverage of the audience at relatively low prices. The largest resources provide 10 million unique visitors every month. The cost differs depending on the format – pre roll, branding, banner, and order of display. Price - from $ 10 for 1 thousand unique views. It is also worth considering the possibility of paying with crypto and a simple workflow, which allows you to make placements for very young and unknown companies. Technically, such platforms can track all interested users, so that later they can activate their attention in other campaigns to optimize marketing and advertising costs, which will allow the advertiser to save the customer’s budget in such a financially turbulent time, while generating even more leads. Indeed, traditional media today are still too expensive and do not have such technical capabilities of their platforms. The millionth audience of pirate resources is explained by the fact that the user loves unlicensed content, and such a user has other interests and hobbies, including the crypto, blockchain, venture projects and much more, which is so discriminated in advertising by official media and social networks. The ethical issue in the modern world of capitalist chaos caused by the global crisis can be left aside, as for marketing strategies, such ‘’pirate’’ resources:
· provide an opportunity to build moderate total project costs
· save on advertising, but do not limit yourself in their use
· as much as possible and as soon as possible can reach your target group and collect leads
· despite of discrimination to the dissemination of information about the crypto and blockchain project, to have workarounds to gather your audience
· not depend constantly on the changing policies of official expensive advertiser's platforms and their instructions
That is precisely what projects need in order to be successful during the limitation and expensive media.
If you are interested in the opportunities described above or you can offer services that will help crypto projects gather more audiences - feel free to write me: [[email protected]](mailto:[email protected]) or in telegram - u/golubev_serge
Sergey Golubev (Сергей Голубев)
EU structural funds, ICO/STO/IEO projects, NGO & investment projects, project management, comprehensive support for business
submitted by Golubyev_Sergiy to SocialMediaMarketing [link] [comments]

(Cont.) Strategy Analysis and Prep GJ - 11.11

(Cont.) Strategy Analysis and Prep GJ - 11.11
11.10.2019 analysis: https://www.reddit.com/Forex/comments/duoc68/uthefrozen_one_strategy_analysis_and_prep_gj/

DAILY SUPPLY AND DEMAND ANALYSIS

Monday - Definitely a day ruled by the bulls. Referencing my last post, there was not a whole lot that my trade entries (chosen before market) allowed me to do. A bit past the upper side of my chosen entry zone you will see a double top, and on the M5, it makes a pretty clean M pattern. However, because it was so extended, I simply didn't want to jump in and "Guess the Top". Those with better analysis than I may have seen the turning point as the perfect short, as it lined up with a high made on Nov 7 at about 10:45 just perfectly. Personally, I think it is difficult to decipher demand from noise on the M15, but today was a learning experience, as I was surprised to see so many levels blown out of the water by London's early moves. Lessons learned.
Anyhow, not much changed here in the larger time frames. Daily chart and H4 are creating a very nice volatility tunnel. A true tease, the guppy is not giving us much here. What really bothers me? On the daily chart, it looks as though the nearest upward spike peaked on Oct. 21. Look left and what do you see? Not a whole lot. Nothing in the way of major supply to stop the impulse we saw. Much like banks build their order book in the JPY session (depending on who you study), this appears to be the same thing only on a grander scale. Is the lack of supply/selling pressure enough to see this to 147.xxx in the coming month, or would the banks rather average down to better supply/price before making that same move...

POSITIONING OF POTENTIAL ENTRIES:

This pair is in a lot of noise, and as such, like yesterday, I am truly thrown off about whether to choose a long or short bias. Rather, I will simply determine two points at which I feel I have both allowed myself to allow the market to make its move as well as allowed for the over extension necessary for good R:R.
To the short side, I like an entry of around 140.58. The red "1", "2", and "3" represent any unfilled orders in the near term. the 3rd level is the most opportune in my humble opinion. Beyond that, there is significant room to run, so I will be looking for good signs of reversal before making my entry.
To the long side, I am more cloudy. At the very least, the US/AUD low provides some simply stop hunt opportunities, but this is not as far out as I'd prefer. the M15 Proximal demand zone shows a fairly text book rally-base-rally. However, being on the M15, I am not putting much behind it other than a zone to watch should the long stop hunt move get blown by. The 3rd level of demand listed with the Blue "3", provides a location with unfilled stops that stand the most to lose given the last trading day.

https://preview.redd.it/2bwwnzutj6y31.png?width=1915&format=png&auto=webp&s=dd16179dd0516b773abc6b099f572e03d8b4c2c8
All that said, I will wait and see which direction the market surges in London open (if at all), and then prep myself for the fade. Having looked through u/thefrozen_one trades, I am going to be looking for the following to assist my entry:
  • Sharp rejection at my chosen entries - I am still learning how to place these, so I will also be looking left for structure to provide confluence to my analysis in the moment.
  • M/W patterns on the M15 or M5
  • Tweezers/long wicks - again, looking for confluence here and not blindly trading wicks.
I appreciate those who entertain my rambling. At this stage, I am not anywhere near predicting the next move. However, this has been my first opportunity to consistently keep myself honest in analyzing and tracking a forex pair, free of indicator madness. I am excited to see my rather dry and ambiguous observances mature into confident bias with which I attack daily trades.
Green pips to all!
submitted by Rich_Foamy_Flan to Forex [link] [comments]

Looking back 18 months.

I was going through old emails today and came across this one I sent out to family on January 4, 2018. It was a reflection on the 2017 crypto bull market and where I saw it heading, as well as some general advice on crypto, investment, and being safe about how you handle yourself in cryptoland.
I feel that we are on the cusp of a new bull market right now, so I thought that I would put this out for at least a few people to see *before* the next bull run, not after. While the details have changed, I don't see a thing in this email that I fundamentally wouldn't say again, although I'd also probably insist that people get a Yubikey and use that for all 2FA where it is supported.
Happy reading, and sorry for some of the formatting weirdness -- I cleaned it up pretty well from the original email formatting, but I love lists and indents and Reddit has limitations... :-/
Also, don't laught at my token picks from January 2018! It was a long time ago and (luckliy) I took my own advice about moving a bunch into USD shortly after I sent this. I didn't hit the top, and I came back in too early in the summer of 2018, but I got lucky in many respects.
----------------------------------------------------------------------- Jan-4, 2018
Hey all!
I woke up this morning to ETH at a solid $1000 and decided to put some thoughts together on what I think crypto has done and what I think it will do. *******, if you could share this to your kids I’d appreciate it -- I don’t have e-mail addresses, and it’s a bit unwieldy for FB Messenger… Hopefully they’ll at least find it thought-provoking. If not, they can use it as further evidence that I’m a nutjob. 😉
Some history before I head into the future.
I first mined some BTC in 2011 or 2012 (Can’t remember exactly, but it was around the Christmas holidays when I started because I had time off from work to get it set up and running.) I kept it up through the start of summer in 2012, but stopped because it made my PC run hot and as it was no longer winter, ********** didn’t appreciate the sound of the fans blowing that hot air into the room any more. I’ve always said that the first BTC I mined was at $1, but looking back at it now, that’s not true – It was around $2. Here’s a link to BTC price history.
In the summer of 2013 I got a new PC and moved my programs and files over before scrapping the old one. I hadn’t touched my BTC mining folder for a year then, and I didn’t even think about salvaging those wallet files. They are now gone forever, including the 9-10BTC that were in them. While I can intellectually justify the loss, it was sloppy and underlines a key thing about cryptocurrency that I believe will limit its widespread adoption by the general public until it is addressed and solved: In cryptoland, you are your own bank, and if you lose your password or account number, there is no person or organization that can help you reset it so that you can get access back. Your money is gone forever.
On April 12, 2014 I bought my first BTC through Coinbase. BTC had spiked to $1000 and been in the news, at least in Japan. This made me remember my old wallet and freak out for a couple of months trying to find it and reclaim the coins. I then FOMO’d (Fear Of Missing Out”) and bought $100 worth of BTC. I was actually very lucky in my timing and bought at around $430. Even so, except for a brief 50% swing up almost immediately afterwards that made me check prices 5 times a day, BTC fell below my purchase price by the end of September and I didn’t get back to even until the end of 2015.
In May 2015 I bought my first ETH at around $1. I sent some guy on bitcointalk ~$100 worth of BTC and he sent me 100 ETH – all on trust because the amounts were small and this was a small group of people. BTC was down in the $250 range at that point, so I had lost 30-40% of my initial investment. This was of the $100 invested, so not that much in real terms, but huge in percentages. It also meant that I had to buy another $100 of BTC on Coinbase to send to this guy. A few months after I purchased my ETH, BTC had doubled and ETH had gone down to $0.50, halving the value of my ETH holdings. I was even on the first BTC purchase finally, but was now down 50% on the ETH I had bought.
The good news was that this made me start to look at things more seriously. Where I had skimmed white papers and gotten a superficial understanding of the technology before FOMO’ing, I started to act as an investor, not a speculator. Let me define how I see those two different types of activity:
So what has been my experience as an investor? After sitting out the rest of 2015 because I needed to understand the market better, I bought into ETH quite heavily, with my initial big purchases being in March-April of 2016. Those purchases were in the $11-$14 range. ETH, of course, dropped immediately to under $10, then came back and bounced around my purchase range for a while until December of 2016, when I purchased a lot more at around $8.
I also purchased my first ICO in August of 2016, HEAT. I bought 25ETH worth. Those tokens are now worth about half of their ICO price, so about 12.5ETH or $12500 instead of the $25000 they would be worth if I had just kept ETH. There are some other things with HEAT that mean I’ve done quite a bit better than those numbers would suggest, but the fact is that the single best thing I could have done is to hold ETH and not spend the effort/time/cost of working with HEAT. That holds true for about every top-25 token on the market when compared to ETH. It certainly holds true for the many, many tokens I tried to trade in Q1-Q2 of 2017. In almost every single case I would have done better and slept better had I just held ETH instead of trying to be smarter than Mr. Market.
But, I made money on all of them except one because the crypto market went up more in USD terms than any individual coin went down in ETH or BTC terms. This underlines something that I read somewhere and that I take to heart: A rising market makes everyone seem like a genius. A monkey throwing darts at a list of the top 100 cryptocurrencies last year would have doubled his money. Here’s a chart from September that shows 2017 year-to-date returns for the top 10 cryptocurrencies, and all of them went up a *lot* more between then and December. A monkey throwing darts at this list there would have quintupled his money.
When evaluating performance, then, you have to beat the monkey, and preferably you should try to beat a Wall Street monkey. I couldn’t, so I stopped trying around July 2017. My benchmark was the BLX, a DAA (Digital Asset Array – think fund like a Fidelity fund) created by ICONOMI. I wasn’t even close to beating the BLX returns, so I did several things.
  1. I went from holding about 25 different tokens to holding 10 now. More on that in a bit.
  2. I used those funds to buy ETH and BLX. ETH has done crazy-good since then and BLX has beaten BTC handily, although it hasn’t done as well as ETH.
  3. I used some of those funds to set up an arbitrage operation.
The arbitrage operation is why I kept the 11 tokens that I have now. All but a couple are used in an ETH/token pair for arbitrage, and each one of them except for one special case is part of BLX. Why did I do that? I did that because ICONOMI did a better job of picking long-term holds than I did, and in arbitrage the only speculative thing you must do is pick the pairs to trade. My pairs are (No particular order):
I also hold PLU, PLBT, and ART. These two are multi-year holds for me. I have not purchased BTC once since my initial $200, except for a few cases where BTC was the only way to go to/from an altcoin that didn’t trade against ETH yet. Right now I hold about the same 0.3BTC that I held after my first $100 purchase, so I don’t really count it.
Looking forward to this year, I am positioning myself as follows:
Looking at my notes, I have two other things that I wanted to work into this email that I didn’t get to, so here they are:
  1. Just like with free apps and other software, if you are getting something of value and you didn’t pay anything for it, you need to ask why this is. With apps, the phrase is “If you didn’t pay for the product, you are the product”, and this works for things such as pump groups, tips, and even technical analysis. Here’s how I see it.
    1. People don’t give tips on stocks or crypto that they don’t already own that stock or token. Why would they, since if they convince anyone to buy it, the price only goes up as a result, making it more expensive for them to buy in? Sure, you will have friends and family that may do this, but people in a crypto club, your local cryptocurrency meetup, or online are generally not your friends. They are there to make money, and if they can get you to help them make money, they will do it. Pump groups are the worst of these, and no matter how enticing it may look, stay as far away as possible from these scams. I even go so far as to report them when I see them advertise on FB or Twitter, because they are violating the terms of use.
    2. Technical analysis (TA) is something that has been argued about for longer than I’ve been alive, but I think that it falls into the same boat. In short, TA argues that there are patterns in trading that can be read and acted upon to signal when one must buy or sell. It has been used forever in the stock and foreign exchange markets, and people use it in crypto as well. Let’s break down these assumptions a bit.
i. First, if crypto were like the stock or forex markets we’d all be happy with 5-7% gains per year rather than easily seeing that in a day. For TA to work the same way in crypto as it does in stocks and foreign exchange, the signals would have to be *much* stronger and faster-reacting than they work in the traditional market, but people use them in exactly the same way.
ii. Another area where crypto is very different than the stock and forex markets centers around market efficiency theory. This theory says that markets are efficient and that the price reflects all the available information at any given time. This is why gold in New York is similar in price to gold in London or Shanghai, and why arbitrage margins are easily <0.1% in those markets compared to cryptoland where I can easily get 10x that. Crypto simply has too much speculation and not enough professional traders in it yet to operate as an efficient market. That fundamentally changes the way that the market behaves and should make any TA patterns from traditional markets irrelevant in crypto.
iii. There are services, both free and paid that claim to put out signals based on TA for when one should buy and sell. If you think for even a second that they are not front-running (Placing orders ahead of yours to profit.) you and the other people using the service, you’re naïve.
iv. Likewise, if you don’t think that there are people that have but together computerized systems to get ahead of people doing manual TA, you’re naïve. The guys that I have programming my arbitrage bots have offered to build me a TA bot and set up a service to sell signals once our position is taken. I said no, but I am sure that they will do it themselves or sell that to someone else. Basically they look at TA as a tip machine where when a certain pattern is seen, people act on that “tip”. They use software to see that “tip” faster and take a position on it so that when slower participants come in they either have to sell lower or buy higher than the TA bot did. Remember, if you are getting a tip for free, you’re the product. In TA I see a system when people are all acting on free preset “tips” and getting played by the more sophisticated market participants. Again, you have to beat that Wall Street monkey.
  1. If you still don’t agree that TA is bogus, think about it this way: If TA was real, Wall Street would have figured it out decades ago and we would have TA funds that would be beating the market. We don’t.
  2. If you still don’t agree that TA is bogus and that its real and well, proven, then you must think that all smart traders use them. Now follow that logic forward and think about what would happen if every smart trader pushing big money followed TA. The signals would only last for a split second and would then be overwhelmed by people acting on them, making them impossible to leverage. This is essentially what the efficient market theory postulates for all information, including TA.
OK, the one last item. Read this weekly newsletter – You can sign up at the bottom. It is free, so they’re selling something, right? 😉 From what I can tell, though, Evan is a straight-up guy who posts links and almost zero editorial comments.
Happy 2018.
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Trading Double Top and Double Bottom

Trading Double Top and Double Bottom

Trading Double Top and Double Bottom
Double top and Double Bottom are price action pattern formations identified to predict the behavior of the market. As the name suggests, Double Top is when the price action forms two peaks almost equal to each other, and the Double Bottom is when the price action dips to form two consecutive bottoms with only a peak separating the two. Of all the chart pattern formations, Double Top and Double Bottom could pass as one of the easiest-to-identify.

Double Top Identification

Double Top is formed when the market follows the uptrend and then pulls back. The pullback must have created a peak to its left in order to form a trough. The price then again rallies to form the second peak almost equal to the first, then drops again lower than the trough. The second peak, unable to break through the limit set by the first, marks the resistance and reduction in buying, thereby calling out a potential reversal.
Trading Double Top

Neckline

The right place to draw the neckline is at the lowest point of the pullback. The price rises from the trough to form the second peak and drops back again to the neckline completing the formation of Double Top and the opportunity.

Entry

The right time to enter the trade is by the completion of the pattern formation. When the shaky line from the second peak downs to the neckline signifying the uptrend reversal, it plunges deep breaking through the neckline. Shorting is the obvious option for profit since the prices are dropping.

Exit

The safest exit with considerable profit is calculated from the neckline with the same value as the height of the peaks.

Stop Loss

In case, worse comes to worst and you misinterpret the chart for a double top, Stop Loss is the measure to keep your loss to the minimum. It is better to limit the loss to the latest peak created within the pattern.

Double Bottom Identification

On contrary to the double top, the double bottom is identified by a dip, followed by a rise, which is again followed by a dip. In the downtrend, the price forms a trough by pulling back to the upside. The price drops again to a point above the first trough unable to drop lower signifying the reducing sellers, thereby marking the downtrend reversal. The price then rallies all the way up until it falls short of buyers or reaches a balancing point.
Trading Double Bottom

Neckline

Here, Neckline is the plane drawn to connect both troughs through the edge of the middle peak.

Entry

Similar to the double top, it is best to enter the trade by the completion of the double bottom. When the price rallies towards the neckline, it goes all the way up breaking through the neckline. So going long at the neckline makes the most of the opportunity.

Exit

The position in the uptrend, marked from the neckline with the same value as the height of the troughs, is safe to close the trade.

Stop Loss

Stop Loss for the Double Bottom is set at the recent trough formed inside the pattern to limit the loss which is inevitable.Double Top and Double Bottom are trend reversal patterns, which even the traders who disregard the chart patterns look forward to. These are simple trading patterns and doesn’t require much expertise to be able to identify, but the only shortcoming is that the reward: risk ratio is not too tempting. The ratio can be made favorable by setting stop loss in a much closer position. It is advised to take the trade only when the potential for profit is sound.Start forex trading with the use of demo account before you investing the real capital. That way you can get a feel for the process of trading and decide if trading forex is for you also we provide the best trading platform for beginners. When you're consistently making good trades on the demo account, then you can go live with a real forex account. Limit your losses.
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印网友评论:印度归国学子:印度可以从中国学到的经验 ZT by 学姐的头 on 2014-04-08

-------------译者:观棋柯烂-审核者:chen_lt------------
kshay Kumar, 25, knew his journey would be tough. But he thought he was prepared.
Kshay Kumar, 25岁,他知道自己的旅途会很艰难,但他认为他已经做好了准备。
In 2012, after an engineering degree and a oneyear stint with a multinational, Kumar felt he needed a makeover. "I didn't want to be stuck with civil engineering all my life. I also wanted to see the world and explore new options," he recalls. Doing an MBA from a premier institute was on his mind.
2012年,在取得工程学位并为跨国公司服务了一年后,Kumar觉得他需要一个转变。“我不想被土木工程套牢一生。我也想看看这个世界,探索一下新的机会,”他回忆道。在一个高等学院读MBA的想法浮现在他的脑海里。
He did think of the Indian Institutes of Management (IIMs) and the Xavier School of Management, but the desire for global exposure pushed him to explore options overseas. Kumar settled for a oneyear post-graduate course at the Imperial University in the UK, which he financed via an education loan. "Visa rules and the bleak job market there did weigh on my mind. But I had a feeling I could manage it," he says. He had confidence in Imperial's good global ranking, its alumni network and his own hard work.
他也考虑过印度管理学院(IIM)和泽维尔管理学院,但是对于全球视野的渴望促使他探索海外的机会。Kumar接受了位于英国的帝国大学的一年期研究生课程,其资金来源为助学贷款。“英国的签证规则和惨淡的就业市场确实在我脑海中权衡过,但我有一种感觉,我一定能够应付得过来,”他说。因为帝国大学在全球的优秀排名、其校友关系网以及他自己的努力,他充满信心。
Kumar began his hunt for a job virtually from the day he landed in the UK. He studied hard to get good grades but worked even harder to find a good job. By tapping into networks of his alumni, friends and family, Kumar reckons he would have reached out to over 200 firms during that year. "It didn't work. My good grades made me eligible for plenty of jobs, but my non-European Indian passport was the problem," he shrugs.
Kumar一来英国就开始寻找工作。他努力学习以取得好成绩,但更努力去寻找一份好工作。通过发掘他的校友、朋友和家庭的关系,Kumar估计在那年他接触了超过200家企业。“这没有用。我的好成绩让我满足了许多岗位的条件,但我非欧洲的印度护照是个问题,”他耸了耸肩。
Kumar moved back to India late last year and has just landed a job with a private equity firm. "All my plans have been delayed by five years," he says. Close to half his salary today goes in paying monthly instalments on his education loan.
Kumar去年底回到了印度,在一家私人股权公司工作。“我的所有计划都被推迟了五年,”他说。他每月要用现在将近一半的薪水来偿还助学贷款。
-------------译者:图特腾-审核者:chen_lt------------

The World isn't Flat
世界不是平的
The West has a problem. Its economy is in a funk, not enough jobs are being created, cautious companies aren't hiring too many, and worried governments — from the US to the UK — are raising visa barriers for foreigners to work in their countries.
西方已经出现问题。它的经济陷入一片混乱,不能创造足够多的职位,谨慎的公司不会聘用过多的职员,焦虑不安的各国政府——从美国到英国——正在增加签证壁垒以阻止外国人在他们的国家工作。
Young Indians, who went overseas for education, are facing a tough time finding a job. Many like Kumar have returned home. And some are now casting the net wider — looking for jobs from the US to Hong Kong and Singapore — or settling for sub-optimal options. Rupa Chanda, professor, IIM-Bangalore, who has worked on reports on international student mobility, says visa and immigration is the biggest factor affecting Indian students' decisions.
海外求学的年轻印度人正在面临找工作的艰难时期。像Kumar一样,许多人已经回家。他们中一些人正在通过更大范围的求职网——从英国到香港、新加坡来寻找工作;或者妥协于较次的选择。印度管理学院(IIM)班加罗尔分校的Rupa Chanda教授曾在研究国际学生流动性的报告中指出,签证和移民政策是影响印度学生做出决定的最大因素。
The US, the UK and Australia — the three most popular destinations for Indians seeking global education — have seen the number of Indian students come down over the past few years (see Out of Favour?). Remember, many Indian students take hefty education loans to finance their studies abroad. While many would find decent jobs back in India that would not help much as these students need dollar salaries to comfortably service their loan. This is taking its toll. "Overseas education is costly. Many Indian students are doing a cost-benefit analysis to figure how to recoup their investments overseas and putting off their plans ," explains New York-based Rahul Choudaha, chief knowledge officer, World Education Services (WES), a non-profit organization that provides credential evaluations for international students planning to study or work in the US and Canada.
美国、英国、澳大利亚,印度人寻求全球教育的最火的三大目的地,已经发现印度学生数量在过去几年持续下降(或者三大目的地已经不受青睐?)。记住,许多印度学生都背负着高额的教育贷款来资助他们的海外求学。虽然回到印度他们都能找到体面的工作,但是这些都没有太大的帮助,因为学生们需要一份用美元支付的薪水来帮助他们更轻松的偿还贷款。这就是造成的影响。“海外教育非常昂贵,许多印度学生都正在进行成本效益分析,以找出如何收回其海外投资,推迟他们(去海外就读)的计划,” 坐落于纽约的世界教育服务中心的知识总监Rahul Choudaha解释道。 这一非营利性组织为准备在美国和加拿大学习或工作的国际学生提供认证评估。
But to be fully able to understand how this trend will play out, one must understand the backdrop. A big generational shift is taking place among the students looking for overseas education. Many of them now are India's liberalization children, who have grown up post-1991 and lived in an increasingly global world with fewer barriers.
但是要完全理解这种趋势是如何产生的,就必须要了解其背景。一个大的世代转变正发生在寻求海外教育的学生中间。如今的他们许多都是印度自由的一代,成长在1991年后,生活在障碍更少的全球化的今天。
So in many ways this is their first brush with a world with barriers. Many are also children of globetrotting well-paid senior corporate executives who think differently about education, exposure and investing in a world-class education. "These parents understand the long-term rewards of a world-class education. I see many of my friends taking their children to these top campuses after they pass out from school to give them a first-hand feel," says Hema Ravichandar, strategic HR expert and a former HR head of Infosys.
所以从许多方面来说,这是他们第一次面对来自世界的阻碍。他们中也有许多是环游世界的、对教育、经历以及投资世界级教育有着不同看法的高薪企业的高管们的小孩。 “这些父母明白世界一流教育的长期回报。我看到我的许多朋友带着他们的小孩去顶尖的校园,让小孩们领略这些高等学府给他们的切身感受,”战略人力资源管理专家、Infosys 公司前人力资源主管 Hema Ravichandar说道。
-------------译者:dragonilove-审核者:chen_lt-----------

Woes on Foreign Shores
身处海外的痛苦
Both of Ravichandar's children have studied overseas. Her daughter, Aditi, is doing her MBA from Wharton in the US and her son Nikhil, 22, completed his Bachelor's in economics from Warwick in the UK. Nikhil chose the UK over India because of the flexibility available in picking courses — he wanted to do economics with law which was impossible in India with its rigid course structures. "Education in India is not very research-driven and multicultural," he adds.
Ravichandar'的两个孩子都已经在国外留学。她的女儿,Aditi正在美国的沃顿商学院读MBA而她22岁的儿子Nikhil已经在英国的华威大学完成了经济本科学习。Nikhil之所以选择英国而非印度是因为英国大学在课程选择上有更大的灵活性——他既想要修经济学又想要修法律,而这在具有严格课程结构的印度大学是不可能的。他还说,“在印度的教育并不是由研究来驱使的,也不够文化多元性”。
But during his stay there, the UK revoked the two-year work permit for foreign graduates. Thus he needed a firm job offer to stay on after graduation. This was difficult since he was particular about the kind of work. "I wanted a job in economic consulting," he says. Unable to get that he preferred to do a postgraduate programme instead. While he did not take any loan, for many of his classmates, who had taken a hefty education loan, things were difficult.
但是就当他在英国学习时,英国取消了留学生毕业后的两年工作签证,因此Nikhil需要一份工作从而能够在毕业后留在英国。由于他对工作的特殊要求这显得有些困难“我想要一份有关经济咨询的工作”Nikhil说。若不能获得这样的工作,Nikhil宁愿继续读研究生。由于Nikhil没有像他的同学那样申请沉重的助学贷款,事情开始变得困难了。
Now, Nikhil is back in India getting some interesting exposure at a few start-ups in Bangalore, India's Silicon Valley. He is contemplating a startup of his own. "This is the best time to take the risk and explore it," he says.
现在 Nikhil 已经回到了印度并且在印度的硅谷,班加罗尔与一些新兴企业进行了接触。他正在考虑自己创办一个公司。“这是最好的冒险和探索的时候”他说。
Across the Atlantic, Sujoyini Mandal, in her 20s, offers another peek into the odds that Indian students face overseas. After her graduation from Jadavpur University, Mandal went to Singapore for her postgrad and worked with a think-tank there. Life was good but since she had always yearned for a degree from a world-class university, she applied for a Master's at Harvard's Kennedy School.
穿越过大西洋,20岁的Sujoyini Mandal展现了印度学生在海外遭遇的另一面。在她从贾达普大学毕业之后,Mandal去新加坡念了研究生并且在一个智囊团工作。生活过得很惬意,但是由于她希望获得世界一流大学的学位,她申请了哈佛肯尼迪政治学院。
For two years, she deferred her admission as she did not get any financial aid. She saved some money and, with a bit of aid, finally took the plunge in 2011. Foreign students in her college face an education loan cap of $30,000 ($15,000 a year), she says, making things even more difficult Mandal started looking for a job when she graduated in May 2013. But mandates that fitted her needs and aspirations were not easy to come by. She did land a contract with the World Bank but that was short term, uncertain and had no medical cover. Last month Mandal finally landed a job with an investment bank.
两年来,由于Mandal没有获得任何经济援助,她一直在延迟入学时间。在存了一些钱并且一些援助之后她最终在2011年入学了。Mandal说,她所在学院的留学生面临30000美元(15000美元每年)的贷款限额,这使得情况变得更加困难。Mandal在2013年5月毕业后开始寻找工作。但是适合她的需求和期望的职位并不那么容易获得。她确实已经和世界银行签订了合约,但是那是短期的,有不确定性,也没有医疗保险。最终在上个月Mandal在一家投资银行找到了一份工作。
Despite such struggles, there are many reasons why the pursuit of overseas education among young Indians is unlikely to die down any time soon.
尽管面临这么多挣扎,但仍然有很多其他原因让印度学生想去海外留学,短期内这种趋势是不会消失的。
-------------译者:长太息兮-审核者:chen_lt------------

The Demographic Bulge
人口膨胀
Every year, around 800,000 Indian students reportedly go overseas for their education. This costs the country close to $15 billion of forex annually, estimates industry lobby Assocham. If students are going overseas for education, it's because India has a problem of both capacity and quality. The country has one of the world's largest education infrastructures: 600 universities and 34,000 colleges with 17 million students enrolled and 5 million students graduating every year. But India is also witnessing a demographic bulge — it has perhaps the world's largest young population. Experts estimate that some 100-million-odd students will seek higher education over the next decade.
据报道,每年大约有800000名印度学生出国留学,,据印度工商业联合会估计这将耗费每年近150亿美元的外汇。学生们出国留学是因为印度不管是在教育容量还是教育质量上都有问题。印度的教育基础设施是世界上最大的教育设施之一,600所大学和34,000学院每年接受1700多万新生并输出500多万毕业生,但是我们也正见证着印度人口的爆炸性增长,印度或许有着世界上最庞大的年轻人群,专家估计在未来十年里,将有一亿多的学生寻求更高的教育。The capacity problem is compounded by the quality issue. About 70% of the capacity in India is of poor standards. At the other end of the spectrum, competitive intensity at the premier colleges is so stiff that it is often easier for bright students to get admission in Ivy League colleges in the US and the UK than in the IITs, IIMs and even top colleges in Delhi University.
教育能力和教育质量上的问题是相互关联的。大约70%的印度教育处较低的水准,而另一方面,印度一流学院的竞争激烈且死板,以至于对聪明的学生来说,进入美国或英国的常春藤大学要比进入印度理工学院、印度管理学院、甚至德里大学里好的学院都容易得多。
All this coincides with the rise of India's aspirational upper middle class. Over the past two decades, many first-generation Indians have risen up the corporate hierarchy and are financially well-off. These welltravelled, financially stable corporate executives desire the best for their children. "They are looking for the best educational experience. They know it is a life-long asset. Indian premier colleges do not have the capacity and are very rigid," says TV Mohandas Pai, chairman, Manipal Global Education. Pai's son studied at Stanford University in the US and now works for a start-up in Silicon Valley.
这些现象与印度上层中产阶级不断上涨的雄心壮志密切相关。在过去的二十几年里,许多第一代移民创立了自己的事业,相当富裕。这些经济稳定,见多识广的公司高管希望把最好的东西给予他们的子女。Manipal全球教育主席 Mohandas Pai说他们在为孩子寻找一流的教育,这是孩子一生的财富,印度的一流大学不能给予这些而且这些大学要求过于死板。他的孩子曾在美国斯坦福大学学习,现在在硅谷工作。
This aligns well with the global trend of rising international mobility of students. According to Institute of International Education (IIE), since 2000, the number of students leaving home in pursuit of higher education has increased by 65%, totalling about 4.3 million students globally. What is more interesting is that the share of students from the developing countries in this pie is rising — it moved up from 54.8% to 69% between 1999 and 2009.
这个现象与世界范围内学生国际间流动增强的趋势是一致的。IIE的研究表明,自2000年以来,学生为了获得更高的教育出国的数量增加了65%。全球总计约430万。更有趣的现象是发展中国家的学生所占的份额正在增加---1999年到2009年间从54.8%增加到69%.
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India vs China
印度对比中国
Not surprisingly, the world's two most populous and powerful emerging countries — China and India — send the largest number of students overseas. But China has rapidly shifted gears to overtake India.
让人毫不惊讶的是,作为世界上人口最多、经济发展最快速的这两个国家向海外派遣了最多数量的留学生。但这方面中国很快就超越了印度。
Consider what's taking place in the US. In 2000-01, India topped the list of international students by country, with 66,836 against China's 63,211. But by 2009-10 China had overtaken India. In 2012-13, China sent 236,000 students; India was nudging the 97,000 mark. While the number of Chinese students has been growing in double digits of late, that of Indian students has been sliding. To understand why that is happening, it is important to analyze the profile of students going overseas from both the countries. 2000-2001年,美国的外国留学生中印度学生是最多的,66836人,而中国学生为63211人。但是在2009-2010年时,中国超越了印度。2012-2013年,中国向美国派遣的留学生
已经达到236000人;而印度才逼近97000人。近来,中国留学生人数呈两位数增长,而印度方面则一直在下降。要想了解这其中的缘由,就有必要分析一下两个国家的留学生的一些基本情况。
Chinese students going to the US are evenly split between undergraduate (40%) and postgraduate programmes (44%). But Indian students are heavily skewed towards postgraduate programmes (55%) with just 13% at the undergraduate level. Indian students are also unique as over 60% are in the STEM (science, technology, engineering, maths) category. Bear in mind that historically, postgraduate and STEM programmes offer more financial support than undergraduate and non-STEM programmes.
中国留学生去主要去美国接受本科教育项目(40%)和研究生教育项目(44%),比较均衡。而印度学生去美国主要接受研究生教育(55%),本科教育只占13%。60%的印度留学生学的是理工科。从历史上来说,研究生以及理工科教育项目比起本科教育项目和非理工科教育项目在资金上会给留学生提供更多的帮助。
"The decline in Indian students is directly related to the 'Strivers' , who have been putting their plans on hold due to increasing cost of studying abroad which in turn was triggered by economic uncertainty and currency devaluation," says Choudaha.
“印度留学生的下降与”奋勉族“群体相关(根据全球教育服务处的研究,指的是资源少的发奋者),这个群体由于海外留学费用的增加导致他们搁置了自己的留学计划,而经济不稳定以及货币贬值引发了海外留学成本的提高,”Choudaha说。
A majority of Indian students arrives at the Master's level and funds education by taking loans as financial aid from colleges has dried up. So, while the majority of Indian students go for education loans, Chinese students are supported by their families. According to a research by WES, 47% of Indian respondents report loans as one of the primary sources of funding as compared with only 3% of Chinese.
大部分的印度海外留学生取得了硕士文凭,但由于学校助学金的萎缩,他们不得不通过贷款来完成学业。所以大部分印度学生是通过贷款来完成学业的,而中国留学生则靠父母支持。根据全球教育服务处的一项研究,47%的印度回馈者说贷款是他们完成学业的主要手段之一,而这么说的中国学生只占3%。
Chinese students, in contrast, are "explorers" (experience seekers), says Choudaha. Often the only-child of financially well-off parents, they have the financial wherewithal to study abroad and are under less pressure to find a job there. But change may be afoot. Some Indian students could make the transition from 'strivers' to 'explorers' and Choudaha expects more and more Indian students — most of them children of well-off senior executives — to go overseas at the undergraduate level. Not so dependent on financial aid, he also sees many more Indians exploring new interdisciplinary fields, beyond STEM. Even in the STEM category, experts feel that Indian students will be the biggest beneficiary as the Obama government eases rules for this critical segment in future.
对比来说,中国学生是“探险族”(追求体验一族),Choudaha如是说。通常是富裕家庭的独生子女,所以留学的钱不用愁,也没有太大的压力去找工作。但情况可能会有所改变,一些印度学生有可能从“奋勉族”向“探险族”转变,Choudaha预测说将有越来越多大多来自印度富裕家庭的学生到海外接受本科教育。他们不会太依靠助学金。他还说越来越多印度学生除了理工科外还涉及了新的跨学科教育领域。即使是在理工科类别中,专家们认为随着奥巴马在未来放宽这个类别的规定,印度学生将成为最大的受益者。
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Lessons from China
中国榜样
Two decades back, China faced problems similar to those India faces today — its higher education had both capacity and quality issues. Since then China has worked hard to upgrade its educational institutions. It has two programmes — Project 211 and Project 985. The former aims to make 100 Chinese universities world class in the 21st century; this will help China churn out world-class trained professionals to push economic growth. These universities are expected to set national standards for education quality that can be replicated by others.
二十年前,中国面对的问题如同今日印度面对的问题——高等教育在质和量上的不足。从那时起中国努力升级发展他们的教育机构,其中包涵了211工程和985工程。前者旨在创造21世纪的世界级名牌大学,这会快速培养出大批的专业人才,有效推动其经济发展。这些大学被期望于发展可供借鉴的全国性教育质量标准。
Project 985 started more than a decade back and is an attempt to build China's own Ivy League colleges in the 21st century. In the first phase the project included nine universities. The second phase, launched in 2004, includes 40-odd universities. The projects have been backed by significant investments. According to a New York Times report, China is investing $250 billion a year in human capital.
985工程开始于十多年前,意在创造21世纪中国自己的常春藤校盟。工程第一阶段包括了九所大学。第二阶段在2004年启动,新增四十所大学。这项工程受到了大量投资支持。据纽约时报报道,中国为人力资源发展一年就投资了2500亿美元。
The dragon country's efforts are now bearing fruit. Many Chinese universities are climbing up the global ranks. Two Chinese universities have made it to the top global 50 in the Times Higher Education report. India has none. In the top 500, 16 Chinese universities make the cut against seven from India. Mobile international students are taking note. A decade back, China was hardly on anybody's radar.
龙之国度的努力现在已经开花结果,很多中国大学都跻身入全球排行榜。泰晤士报高等教育刊报说两所中国大学成功挤入全球最佳大学前五十名。印度一个名额都没。在全球前五百名大学中中国有16所,完胜印度的七所。国际学生们都注意到了中国的巨大变化,而十年前,中国大学几乎不被关注。
Today, it is the third largest education hub in the world after the US and the UK with 3.28 lakh international students, according to IIE. By 2020, it hopes to host 500,000 international students. Even Singapore is targeting 1.5 lakh foreign students by 2015. In contrast, India was home to just 27,000 international students in 2012. China is aware that to push innovation and realize its economic ambitions, it must be able to attract top talent — in its colleges and workforce.
据国际教育学会数据,现在中国拥有32万八千的外国学生,是仅次于美国和英国的世界第三大教育中心。到2020年,这一数字可能变为50万。即使小国新加坡也有在2015年达到15万外国留学生的目标,而印度在2012年却只有2万七千外国留学生。中国已经意识到,若要推动创新和实现他的经济腾飞,就必须吸引来高端人才——在大学和职场上。
Also, in virtually every key statistic, the world today is seeing a shift from the West to the East. From economic GDP to consumption power, MNCs across the board are looking at Asia and the world's two most populous nations. This shift is happening demographically too. But in the education space, the West still dominates.
从每一个关键数据都能看出,实际上世界中心正从西方转移到东方。亚洲国家,特别是世界两大人口大国国民生产总值和消费能力的提升吸引了所有跨国公司的目光。这种转变和人口有关,但是在教育方面依然是西方占主导地位。
Of the world's top 100 universities, 46 are in the US. Seven of top 10 universities are in the US. Asia has just 11 in the top 100. "It is difficult to replicate what US has done with its universities to 2emerge as an innovation hub," says Pai. So, ambitious and aspirational Indians will continue to look overseas for education. But if India has to realize its potential, it must invest heavily in building world-class institutions in the country — the China way.
世界前100名大学有46所位于美国,前十名有七所是美国的。亚洲在全球大学前一百名中只有11所。“美国通过大学而转变为创新中心的成功是很难被复制的,”派说。因此,有理想有抱负的印度人会继续寻求海外教育机会。如果印度想发掘自身潜力,他必须学中国那样,大力投资于建设世界一流的国内大学。


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Skhey Mobile (Gurgaon) 22 Hours ago Foreign degree is no more a guarantee card for success.
外国文凭已经不再是成功的保证了
Neil M (pune-mumbai) 22 Hours ago Finding a good university and a good course is important. I know many guys select short courses which are not recognized world wide and specially in India find it difficult to get a job. Also, dream america is not true for everyone. All the best to seekers.
找一个好的大学和好的专业是十分重要的,据我了解一些人选择了一些短期的课程,这些课程并不在世界范围内被承认尤其在印度会发现很难找到一份工作。并不是每个人的美国梦都能实现。祝追梦者好运
Rajesh Thambala (Hyderabad, India) 23 Hours ago Very informative article.
十分有意义的文章
Partha (Bangalore) 1 Day ago Nice Article. Much Appreciated
很好的文章,表示赞赏
SAMAD (India) 1 Day ago right choice....
正确的选择
Tempcool Mukhopadhyay (India) 1 Day ago An excellent article. Appropriate and very well timed. Issue lies with inadequate job creation in India compared to passing out rate and all sorts of reservation quota for the "privileged" groups. Also unscrupulous marketing by planting misleading information by the education institutes of developed countries and their Indian agents.
一篇很棒的文章。写的正是时候。问题在于在印度创造的就业不足,而毕业生却不断增加,而且“特权”团体得到各种各样的预订配额。另一方面,发达国家的教育机构和其印度代理通过误导性的信息来是肆无忌惮的推销自己的教育产品。
Guramandeep Singh (Mexico) 1 Day ago 67 years after Independence, we are still stuck to providing reservation quotas in institutes of higher education. The recent Supreme Court order puts 27% reservation for OBCs which along with that of SCs and STs brings the total reservation to 49.5%. Here is the breakup of IIM-A seats: General 182 Non creamy OBC 104 ---- Schedule caste 58 ---- Schedule tribe 29 ---- Differently-abled 12 ---- Total 385 --- I have read various comments touching upon patriotism towards India to youngsters being crazy and the need to enlighten them. Reservation for a certain group is discrimination against the other groups. So ask yourself, is our system really fair? Should we not be looking at this objectively and trying to solve the root cause of the problem instead of commenting upon the phenomenon which is a result of a messed up education system at the behest of corrupt politicians?
已经独立67年了,我们的高等教育学院仍在坚持预定配额制度。最近,最高法院颁发命令27%的份额给“其他落后阶级”(OBC),同时给予“设籍种姓”(SC)和“设籍部落”(ST)一定的配额,所以总共就达到了49.5%的配额。对某一群体的配额预留其实是对其他群体的歧视。因此,扪心自问,我们的教育系统真的公平吗?相比于仅仅讨论因为腐败政客的命令导致的混乱教育系统的各种表象,难道我们不应该客观的看待并从根本上解决这些问题吗? (译著:印度的预留机制指的是将政府机构中一定数量的空缺席位留给那些落后和代表人数不足的团体(主要通过种姓和部落来定义)的成员。相当于以配额为基础的平权运动。“其他落后阶级”、“设籍种姓”以及“设籍部落”是这项机制的主要受益者。
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ILA (Chennai) replies to Guramandeep Singh 1 Day ago Dear Learned Singh. This article has nothing to do with reservation. Reservation is about affirmative action (in US parlance). Trying to give some sort of equal opportunity to people (98%) who were subjugated, denied education, and exploited by so called Forward Castes in India who constitute only 2% of the total population for millenium. This reservation is in vogue for only 60 years how can this equation be achieved in such a short span of time. Now the Forward Castes are slowly waking up and cramming for their share in the available piece of cake. If heat is felt for this itself then what should the subjugated feel for having been so for a millenium in the name of MANU SMRITIs laws? People who believe so are as you had rightly (?) pointed out are HYPROCRITS and prisoners of their own conscience.
亲爱的Learned Singh,这篇文章没有提到预留制度,预留制度是一种平权运动(用美国的说法)。它可以给被占2%总人口的高等种姓剥削了上千年,没有机会接受教育,占人口98%的低种姓人一定程度的公平机会,预留制度刚才实施了60年,在这么短的时间内绝对公平是很难实现的。现在高种姓的人正慢慢觉醒,开始狼吞虎咽的享用他们的份额。如果有些人对这种制度反应都如此激烈,那么在《摩奴法典》教义下过了上千年的被征服者又应该做何感想?反对这种平权运动的人都是伪君子和不道德的人。
RM (MN) replies to ILA 9 Hours ago Excuses, excuses. Sixty years after Independence you're still making excuses for a quota system that has made Indian education into a pile of rubbish.
呵呵,独立已经60年了,你还在为把印度的教育弄得一团糟的预留制度找借口
Athena (London) 1 Day ago It is Imperial College and not Imperial University. Perhaps ET must invest in better human capital!
那是帝国理工学院而不是帝国大学,或许《经济时报》应该加大人力资源投入了。
(Hyderabad) 1 Day ago Same thing happened with me as well like akshay kumar. I thought i am reading my story.
我和阿克夏·库马的经历很相似,我还以为在读我自己的故事呢
Nihar (Mumbai) 1 Day ago It completely depends on which institution a person is studying in abroad. It is not so that somebody got a degree in a well recognized institution in foreign and unable to get a job in India. So I request "The Economic Times" to provide a proper interpretation to the reader.
这完全取决于个人在国外的哪个机构学习。一个人得到国外著名机构的学位,却不能在印度找到工作 ,这是不可能的。所以我要求经济时报对给读者一个合理的解释。
kshi S (Bhopal) 1 Day ago coming to US was the worst decision of my life
来美国是我一生最错误的决定
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B Venky Venky (Bangalore) 1 Day ago Very informative article. To have world class universities in India, the government should get out of the way. The quota raj in higher education has to stop. More and more private funds has to be garnered towards higher education by giving tax sops. But all this remains in the realm of fiction at the moment.
非常有教育意义的文章。印度如果想要建设世界一流的大学,政府就不能介入。高等教育的配额制度必须终止。通过给予税收方面的优惠,吸引更多的私人基金投入到高等教育中来。不过到现在为止,这还还都是痴人说梦。
ketan m (mumbai) 1 Day ago study there, work here. sounds great!
出国留学,回国工作,看上去不错!
thomas (india) 1 Day ago Yes, every Indian should go overseas for education - build up net work..learn how other s think..their style-quality etc. come back and start self employed business ... it will flourish. take example from china who are into A to Z of business and industries ,they make impossible happen...of course duly and completely supported by their govt..
我同意,每个印度人都应该去国外接受教育,这样可以建立人际关系,了解别人的思维模式,健康的生活习惯等,然后再回国创业,这样国家才能繁荣。就像中国一样,在各行各业里他们都创造了不可能的奇迹,当然,也离不开政府部门适时的大力支持。
Saswata mandal (kolkata) 1 Day ago still every good student wants to go abroad.. why is it like that??
为什么所有的好学生仍然都想着出国?
Nanda Kumar (Chennai, Tamil Nadu) replies to Saswata mandal 1 Day ago ET pointed it out already..Global Exposure! and Farther mountains always seem smoother :)
金融时报已经指出来了。。。他们希望能在国际上露脸!因为外国的月亮比较圆 :)
Anupam (Bangalore) replies to Saswata mandal 1 Day ago Quick money
想赚快钱呗
Mumbaikar (Mumbai) 1 Day ago It's not entirely the kids fault - some ambitious parents push out the kids too - 'we don't think there is a future here', they say. Now, some are stuck abroad and need to return home, as countries are on an economic downturn and/or are looking more inward now, . Complicated situation - but opportunities are here too, if you want to grab them. Not everything here is as bad as you may think.
不完全是孩子们的错,一部分雄心勃勃的家长们把他们的孩子推到了火山口。家长们总会说:”我们在这看不到未来。”现在,由于外国经济的不景气以及现在他们更看重本土的学生,留学生在国外没出路,所以只能回国。情况很复杂,但是如果你想要,国内同样有机会。国内情况并非你想象的那么糟糕。
Bharath Selvan Sukumaran (Chennai) 1 Day ago Good news for India. Let their knowledge be used for Indians in India
对印度来说是个好消息。他们学成之后可以回来造福印度人民。
jgsemig (Delhi110007) 2 Days ago what about large numbers of foreign students studying in India? How could IIM-B professor be so insensitive? In a global world does this mean that Indian educational Institutions have already thrown in their towels? Does it also mean that Universities like SAARC and others have no futures?
也有很多外国学生在印度留学啊。 为什么印度管理学院班加罗尔分校(Indian Institutes of Management) 的教授们这么愚钝。从全球范围来看,是不是这就意味着印度的教育机构已经宣布投降了?类似南亚区域合作联盟(South Asian Association For Regional Cooperation)这类的学校就没有前途了吗?
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Sriram B (Bharat) 2 Days ago Learn Globally and be back to improve India. Just as they say wait till the last ball is bowled in a cricket frenzy country; do not lose hope till you have tried your hands on what you want to transform the country into.
出国深造回来为祖国效力,在这个痴迷于板球运动的国家里,就像人们所说的不到最后一球都不能言败;在尝试做一些让我们的国家变得更好地事情之前,也不要放弃希望。
Ajay Kumar (NYC) 2 Days ago Only the people who have earned admissions into Indian Universities based on reservations, face problems studying abroad, as they are looking for concessions always. People who have earned admissions throughout based on their capability and knowledge, do not face any problem. Such students do not come back.
只有那些依靠配额进入印度大学的人在出国留学学习时会面临问题,因为他们一直在寻求被特殊对待。而依靠自己能力和知识进入大学的人不会面临这些问题。这些学生也不会回国的
Ayush Jha (NOIDA) 2 Days ago Study in the US(OUT OF INTEREST in the field and/or spectrum, NOT parental pressure/peer pressure) , Work to repay the loans & then do your own startup in India. All the best :)
在美国学习(自己兴趣使然,而不是受到父母或者同龄人的压力),工作付清借款,然后在印度开始自己的事业,祝好运 :)
Mukesh Mishra (Haridwar) 2 Days ago It didn't work. My good grades made me eligible for plenty of jobs, but my non-European Indian passport was the problem," he shrugs.
他耸耸肩说:“没用的,我的成绩足够好让我可以得到很多工作,但是我的非欧洲的印度护照才是问题的关键。”
Ashwani Kaushal (New Delhi) 2 Days ago righly said, getting an addmission in DU colleages are like dreaming in day time.... it is always good to go abroad and get certification and return back... but once the indian student get a better envoironment and facility abroad why they come back to corrupt indian culture, only few with family business background will come to share the same plateform with their parental company ....shamful for Indian corruption
说得对,要想进入德里大学无异于白日做梦。出国留学获得学位然后回印度总归是好的,但是,既然印度学生在国外有更好的环境和设施,他们怎么会回到腐败的印度呢,只有很少一部分有家族企业背景的人回国继承父母的产业,对印度的腐败感到羞愧。
Parthipan K (Chennai) 2 Days ago I agree with the fact that Indian Universities are not flexible. But intelligent students can acquire knowledge of any subjects of their own. So they should not blame Indian Universities. More over, not all institutes in abroad are of high standards. Even in Ivy schools, the standards are coming down like our IITs. My opinion is that if one works hard in Indian top universities, they can acquire global standards. Also all the premier institutes in US are putting their course material in the web and hence, by going thru them one can acquire high knowledge.
我同意印度的大学不够灵活。但是聪明的学生可以靠自己得到任何学科的知识。所以他们不应该抱怨印度的大学。另外,并不是所有的外国机构都有很高的水准,甚至常春藤大学也正下降到印度理工学院的水准。我想说的是,如果一个人在印度一流大学里足够努力,那么他可以达到世界级的水准。另外美国一些著名大学把他们的课程放在网上,因此通过网上课程我们可以得到尖端的知识。
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Learn FOREX - Double top and Double bottom formation ... Trading Strategy: How to Trade the Double Top Chart ... HonorFX EN Chart Formation Pattern 1 Forex Double Top and ... How to Trade the Double Top Pattern - YouTube The Simple Double Top Pattern: Naked Trading Explained ... How to Best Trade Double Tops and Double Bottoms in Forex Trading strategies How To Profit From Double Top Formations In Forex

A double top pattern usually forms at the top of an uptrend with the price failing to form a fresh higher high. Instead, the price finds resistance at a previous swing high and reverses, forming two highs at roughly the same price level (hence the name, double top.) A double top pattern is shown in the following EUR/USD chart. Notice points (1 ... Double top and double pattern hedging strategy are some of the best strategies for profiting on price reversals in the forex market. As a crucial money-making hack, the two strategies should be reserved for 15 minute time frames as it is here where one is likely to accrue the most pips. How to Trade the Double Top in Forex. While there are many different ways that traders trade the Double Top in the Forex market, I’ve identified 3 ways to trade it. All of them work well, so it comes down to which one you feel the most comfortable trading. Trading Strategy #1: Break of Neckline The Double Top formation, also known as a "M-shape" pattern, is bearish in nature. It usually forms after prices have been in an uptrend, thus, providing traders with the opportunity to sell. The Double Bottom formation, also known as a "W-shape" pattern, is bullish in nature. It usually forms after prices have been in a decreasing trend, thus, providing traders with the opportunity to buy. USDCAD double bottom formation in sight November 12, 2020 5:01 PM U.S Futures mixed - Watch MRNA, CRM, SNAP, VRM, NKE November 12, 2020 7:07 AM EU indices down this morning TA focus on Merck KGaA November 12, 2020 3:00 AM Double top chart patterns are very popular among forex traders. Learn how to spot double tops in forex and stock charts, and how to use them to plan your trades. Die Double Top- und Double Bottom-Form tritt auf, wenn Preise zweimal nach oben oder unten drücken. Das Resultat ist ein M- oder W-Format, dass das Ende eines Trends anzeigt. Trader warten in der Regel darauf, dass sich dieses Muster bestätigt, wenn Preise sich nach der ersten Umkehrung wieder in die andere Richtung bewegen und so zeigen, dass es sich nicht um eine kurzfristige Korrektur ... advantages of the double top chart pattern forex trading strategy The downward moves that happen after the formation of the 2nd top can go a long way, even for weeks, if you are trading off the daily chart and if you continue to ride the trend, that’s means you make lots of money too. However, the double top formation tends to reach its price target 71.5%, while the double bottom tends to strike its target 51.25% of times. Bulkowski summarizes its finds stating that some variations of double top and bottom patterns with a narrow range perform better than those that show a wide one. Conclusions. In this educational article, we reviewed the essential reversal formation known ... Double and triple tops also give an indication of how far the price could drop once the pattern completes. Take the height of the pattern (high peak minus low retracement) and subtract that height from the breakout point (completion point) of the pattern. For example, if a double top peaks out at $50, and retraces to $48, the pattern is $2 high ...

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Learn FOREX - Double top and Double bottom formation ...

For more superb educational content please visit our website https://www.forex.academy/ Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. In this session you will see how to spot a "special case" double top (or double bottom) formation on the charts. You will get the rules, techniques for tradi... http://goo.gl/BMLh7F The double top pattern is one of the most common technical patterns used by Forex traders. It is a reversal pattern that forms after an ... Learn how to spot a Double top or Double bottom patterns on your charts and how to trade them. Learn more about forex trading at https://www.youtube.com/uksp... Double top and bottom patterns are chart patterns that occur when the underlying investment moves in a similar pattern to the letter "W" (double bottom) or "M" (double top). Double top and bottom ... The Double Top is one of the most popular chart patterns but… Most traders get it wrong! Let me ask you… Have you traded the Double Top pattern only to reali...

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