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H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

Cases Displaying the Recent Climate of Chinese Economy

This is just a plain list that records the notable cases about China's recent economic woes.
China is rumoured to delay indefinitely its US-China phase one trade deal (fact sheet PDF) implementation that includes the increase of China's purchasing American products & services by at least $200 billion over the next two years, which is almost twice the size of what China purchased before the trade war began.
Okay.
And according to Tianyancha (天眼查), Chinese commercial database that compiles public records; more than 460,000 companies in China closed permanently in Q1 2020, with more than half of them having operated for under three years. [LINK]
Of course, this is mainly caused by the COVID-19 pandemic.
However, what's interesting to me is the following part: "more than half of them having operated for under three years." What happened three years ago?
Once you figure out how big the trade war has played in China's recent economic woes (the article samples listed below may help),
the real question is whose investment or money in China was getting destroyed especially for the last three years.
Other than the article samples listed below, two other data elements that would need to be assessed are: 1) financial loss from the US' blocking Huawei mobile OS & 5G and 2) financial loss from BRI projects.
With CCP, who has been working with Huawei as a team for a long time? [1] [2] [3]
........................................
Tale of How Shanghai clique and Prominent Globalists Got Together.
........................................
Sep 09, 2015 -- Fortune Reports: The real ticking time bomb in China’s economy [LINK]
"[China's] Local governments have borrowed this money with the blessing of China’s central government. In fact, China’s much-lauded $570 billion stimulus package in 2008, which dwarfed the American response to its crisis relative to each country’s respective GDP was funded mostly by local government debt. That program helped power China’s economic growth since 2008, but the dividends are now drying up. As Chinese growth slows, the central government is worried about the local governments’ abilities to finance the debt.
China could continue to kick the can down the road by bailing out its insolvent local governments. But this would run counter to President Xi Jinping’s efforts to curb the power of local officials and shift China’s growth model from investment led to consumption led. Last week, Beijing placed a $16 trillion yuan cap on Chinese government debt, up $600 million yuan from a cap it set last year. And this is after the government has been swapping debt with local governments, buying up real estate-financed local debt in place of government debt officially backed by the Chinese government."
Aug 24, 2016 -- SCMP: Wanted posters for fugitive debtors and runaway bosses symptoms of China’s economic woes [LINK]
"In the first seven months of this year, there were 38 instances of default by 18 bond issuers on the mainland, six of them SOEs. The defaults involved 24.8 billion yuan, more than double the total for the past two years combined. And while only a third of issuers in default this year were SOEs, they accounted for about two-thirds of the amount in default."
Jul 12, 2017 -- The Nikkei Reports: China government auditor flags dodgy books at key state companies [LINK]
"China's National Audit Office) delved into financial statements from 20 of the 101 state enterprises directly controlled by the central government, focusing on filings from the year 2015. The records are notoriously difficult for outsiders to access, as many of the companies are core unlisted units of major state-backed business groups.
Improprieties were unearthed at 18 of the 20, including 200.1 billion yuan ($29.4 billion) in revenue inflation over the last several years and roughly 20.3 billion yuan in improperly booked profit. Culprits included China National Petroleum, one of the country's largest oil producers; China National Chemical, or ChemChina, which recently acquired Switzerland's Syngenta, the world's top maker of agrochemicals; and China Baowu Steel Group."
........................................
2018
........................................
Jul 16: China’s $42-Trillion Debt Bubble Looms Larger than Trade War [LINK]
Oct 10: Financial woes build for HNA Group, forcing sale of subsidiaries and property [LINK]
........................................
2019
........................................
Jan 25: Sinopec Says It Lost $688 Million on ‘Misjudged’ Oil Prices [LINK]
Jun 11: China’s debt disease might wreck its uncrashable housing market [LINK]
Jul 18: More than 50 companies reportedly pull production out of China due to trade war [LINK]
Jul 19: China Minsheng Investment says it cannot repay the principal and interest on US$500 million of bonds as its debt woe deteriorates [LINK]
Sep 06: China Injects $126 Billion Into Its Slowing Economy [LINK]
Oct 06: China's foreign exchange reserves fallen to mere $3.1 trillion USD [LINK]
Nov 06: China Embraces Bankruptcy, U.S.-Style, to Cushion a Slowing Economy [LINK]
Nov 25: China Faces Biggest State Firm Offshore Debt Failure in 20 Years [LINK]
Nov 28: Chinese navy set to build fourth aircraft carrier, but plans for a more advanced ship are put on hold [LINK]
Dec 02: Tech Firm Peking University Founder Welches on USD 284 Million SCP, Has USD 43 Billion Debt [LINK]
Dec 02: Sinopec Group Slims Down Amid Push to Reinvigorate State Firms [LINK]
Dec 13: Fact Sheet: Agreement Between The United States Of America And The People’s Republic Of China Text [PDF LINK]
Dec 19: Money has been leaving China at a record rate. Beijing is battling to stem the tide [LINK]
Money was leaving the country at a record clip earlier this year through unauthorized channels, according to analysts. That's bad news for China, which needs to keep financial reserves high to maintain confidence in its markets.
........................................
2020
........................................
Feb 03: Coronavirus May Delay Hard-Fought U.S. Trade Wins in China [LINK]
Feb 16: China's Evergrande to offer 25% discount for all properties on sale in Feb, March [LINK]
Apr 02: Luckin Coffee stock tanks 80% after discovery that COO fabricated about $310 million in sales [LINK]
Apr 08: Chinese e-learning king TAL Education admits inflated sales [LINK]
Chinese law prohibits Chinese companies from submitting to normal U.S. auditing standards, and four Senators have already introduced a bill requiring them to do so. Should Trump be reelected ... either Beijing will relent on auditing standards or Chinese firms may start to face U.S. delisting threat.
Jul 14: Chinese $2.8bn memory chip project goes bust [LINK]
A Chinese company that launched a $2.8 billion government-backed semiconductor project four years ago is going bankrupt after it failed to attract investors, even as China tries to become self-sufficient in computer chips.
Jul 16: TSMC plans to halt chip supplies to Huawei in 2 months [LINK]
Jul 16: The $52 Trillion Bubble: China Grapples With Epic Property Boom [LINK]
Aug 26: U.S. Penalizes 24 Chinese Companies Over Role in South China Sea [LINK]
Aug 31: China’s Economy Shrinks, Ending a Nearly Half-Century of Growth [LINK]
Sep 09: Hongxin Semiconductor, promised China's first 7 nm chips, has gone bust [LINK]
A government-backed semiconductor manufacturing project based in the central Chinese city of Wuhan has gone belly-up, with key operator HSMC mired in debt. The local government said the project amounts to nearly RMB 128 billion (around $18.7 billion) in investment.
Sep 22: Huawei chairman urges U.S. to reconsider 'attack' on global supply chain [LINK]
Oct 13: EU imposes 48% tariffs on aluminium products from China [LINK]
Oct 18: China's economic growth drops to the lowest level since 1992 [LINK]
Oct 27: China’s Failing Small Banks Are Becoming a Big Problem [LINK]
The reality is that Beijing doesn’t have the wherewithal to guarantee the future of hundreds of smaller, provincial financial institutions that together sit on 73.4 trillion ($11 trillion USD) of yuan of total liabilities.

------------------------
☞ Go Back to the Short Story.
----
submitted by vanillabluesea to conspiracy [link] [comments]

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.
submitted by whatthefx to Forex [link] [comments]

Elaborating on Datadash's 50k BTC Prediction: Why We Endorse the Call

As originally published via CoinLive
I am the Co-Founder at CoinLive. Prior to founding Coinlive.io, my area of expertise was inter-market analysis. I came across Datadash 50k BTC prediction this week, and I must take my hats off to what I believe is an excellent interpretation of the inter-connectivity of various markets.
At your own convenience, you can find a sample of Intermarket analysis I've written in the past before immersing myself into cryptos full-time.
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The purpose of this article is to dive deeper into the factors Datadash presents in his video and how they can help us draw certain conclusions about the potential flows of capital into crypto markets and the need that will exist for a BTC ETF.
Before I do so, as a brief explainer, let's touch on what exactly Intermarket analysis refers to:
Intermarket analysis is the global interconnectivity between equities, bonds, currencies, commodities, and any other asset class; Global markets are an ever-evolving discounting and constant valuation mechanism and by studying their interconnectivity, we are much better positioned to explain and elaborate on why certain moves occur, future directions and gain insights on potential misalignments that the market may not have picked up on yet or might be ignoring/manipulating.
While such interconnectivity has proven to be quite limiting when it comes to the value one can extract from analyzing traditional financial assets and the crypto market, Datadash has eloquently been able to build a hypothesis, which as an Intermarket analyst, I consider very valid, and that matches up my own views. Nicolas Merten constructs a scenario which leads him to believe that a Bitcoin ETF is coming. Let's explore this hypothesis.
I will attempt to summarize and provide further clarity on why the current events in traditional asset classes, as described by Datadash, will inevitably result in a Bitcoin ETF. Make no mistake, Datadash's call for Bitcoin at 50k by the end of 2018 will be well justified once a BTC ETF is approved. While the timing is the most challenging part t get right, the end result won't vary.
If one wishes to learn more about my personal views on why a BTC ETF is such a big deal, I encourage you to read my article from late March this year.
Don't Be Misled by Low Liquidity/Volume - Fundamentals Never Stronger
The first point Nicholas Merten makes is that despite depressed volume levels, the fundamentals are very sound. That, I must say, is a point I couldn't agree more. In fact, I recently wrote an article titled The Paradox: Bitcoin Keeps Selling as Intrinsic Value Set to Explode where I state "the latest developments in Bitcoin's technology makes it paradoxically an ever increasingly interesting investment proposition the cheaper it gets."
However, no article better defines where we stand in terms of fundamentals than the one I wrote back on May 15th titled Find Out Why Institutions Will Flood the Bitcoin Market, where I look at the ever-growing list of evidence that shows why a new type of investors, the institutional ones, looks set to enter the market in mass.
Nicholas believes that based on the supply of Bitcoin, the market capitalization can reach about $800b. He makes a case that with the fundamentals in bitcoin much stronger, it wouldn't be that hard to envision the market cap more than double from its most recent all-time high of more than $300b.
Interest Rates Set to Rise Further
First of all, one of the most immediate implications of higher rates is the increased difficulty to bear the costs by borrowers, which leads Nicholas to believe that banks the likes of Deutsche Bank will face a tough environment going forward. The CEO of the giant German lender has actually warned that second-quarter results would reflect a “revenue environment [that] remains challenging."
Nicholas refers to the historical chart of Eurodollar LIBOR rates as illustrated below to strengthen the case that interest rates are set to follow an upward trajectory in the years to come as Central Banks continue to normalize monetary policies after a decade since the global financial crisis. I'd say, that is a correct assumption, although one must take into account the Italian crisis to be aware that a delay in higher European rates is a real possibility now.
![](https://coinlive.io/ckeditor_assets/pictures/947/content_2018-05-30_1100.png)
Let's look at the following combinations: Fed Fund Rate Contract (green), German 2-year bond yields (black) and Italy's 10-year bond yield (blue) to help us clarify what's the outlook for interest rates both in Europe and the United States in the foreseeable future. The chart suggests that while the Federal Reserve remains on track to keep increasing interest rates at a gradual pace, there has been a sudden change in the outlook for European rates in the short-end of the curve.
While the European Central Bank is no longer endorsing proactive policies as part of its long-standing QE narrative, President Mario Draghi is still not ready to communicate an exit strategy to its unconventional stimulus program due to protectionism threats in the euro-area, with Italy the latest nightmare episode.
Until such major step is taken in the form of a formal QE conclusion, interest rates in the European Union will remain depressed; the latest drastic spike in Italy's benchmark bond yield to default levels is pre-emptive of lower rates for longer, an environment that on one hand may benefit the likes of Deutsche Bank on lower borrowing costs, but on the other hand, sets in motion a bigger headache as risk aversion is set to dominate financial markets, which leads to worse financial consequences such as loss of confidence and hence in equity valuations.
![](https://coinlive.io/ckeditor_assets/pictures/948/content_2018-05-30_1113.png)
Deutsche Bank - End of the Road?
Nicholas argues that as part of the re-restructuring process in Deutsche Bank, they will be facing a much more challenging environment as lending becomes more difficult on higher interest rates. At CoinLive, we still believe this to be a logical scenario to expect, even if a delay happens as the ECB tries to deal with the Italian political crisis which once again raises the question of whether or not Italy should be part of the EU. Reference to an article by Zerohedge is given, where it states:
"One day after the WSJ reported that the biggest German bank is set to "decimate" its workforce, firing 10,000 workers or one in ten, this morning Deutsche Bank confirmed plans to cut thousands of jobs as part of new CEO Christian Sewing's restructuring and cost-cutting effort. The German bank said its headcount would fall “well below” 90,000, from just over 97,000. But the biggest gut punch to employee morale is that the bank would reduce headcount in its equities sales and trading business by about 25%."
There is an undeniably ongoing phenomenon of a migration in job positions from traditional financial markets into blockchain, which as we have reported in the past, it appears to be a logical and rational step to be taken, especially in light of the new revenue streams the blockchain sector has to offer. Proof of that is the fact that Binance, a crypto exchange with around 200 employees and less than 1 year of operations has overcome Deutsche Bank, in total profits. What this communicates is that the opportunities to grow an institution’s revenue stream are formidable once they decide to integrate cryptocurrencies into their business models.
One can find an illustration of Deutsche Bank's free-fall in prices below:
![](https://coinlive.io/ckeditor_assets/pictures/946/content_2018-05-30_1052.png)
Nicholas takes notes of a chart in which one can clearly notice a worrying trend for Italian debt. "Just about every other major investor type has become a net seller (to the ECB) or a non-buyer of BTPs over the last couple of years. Said differently, for well over a year, the only marginal buyer of Italian bonds has been the ECB!", the team of Economists at Citi explained. One can find the article via ZeroHedge here.
![](https://coinlive.io/ckeditor_assets/pictures/953/content_2018-05-30_1451.png)
Equities & Housing to Suffer the Consequences
Nicholas notes that trillions of dollars need to exit these artificially-inflated equity markets. He even mentions a legendary investor such as George Soros, who has recently warned that the world could be on the brink of another devastating financial crisis, on lingering debt concerns in Europe and a strengthening US dollar, as a destabilizing factor for both the US's emerging- and developed-market rivals.
Ray Dalio, another legend in the investing world and Founder of Bridgewater Associates, the world’s largest hedge fund, "has ramped up its short positions in European equities in recent weeks, bringing their total value to an estimated $22 billion", MarketWatch reports.
Nicholas extracts a chart by John Del Vecchio at lmtr.com where it illustrates the ratio between stocks and commodities at the lowest in over 50 years.
As the author states:
"I like to look for extremes in the markets. Extremes often pinpoint areas where returns can be higher and risk lower than in other time periods. Take the relationship between commodities and stocks. The chart below shows that commodities haven not been cheaper than stocks in a generation. We often hear this time it is different” to justify what’s going on in the world. But, one thing that never changes is human nature. People push markets to extremes. Then they revert. "
![](https://coinlive.io/ckeditor_assets/pictures/954/content_2018-05-30_1459.png)
Bitcoin ETF the Holy Grail for a Cyclical Multi-Year Bull Run
It is precisely from this last chart above that leads Nicholas to believe we are on the verge of a resurgence in commodity prices. Not only that but amid the need of all this capital to exit stocks and to a certain extent risky bonds (Italian), a new commodity-based digital currency ETF based on Bitcoin will emerge in 2018.
The author of Datadash highlights the consideration to launching a Bitcoin ETF by the SEC. At CoinLive, our reporting of the subject can be found below:
"Back in April, it was reported that the US Securities and Exchange Commission (SEC) has put back on the table two Bitcoin ETF proposals, according to public documents. The agency is under formal proceedings to approve a rule change that would allow NYSE Arca to list two exchange-traded funds (ETFs) proposed by fund provider ProShares. The introduction of an ETF would make Bitcoin available to a much wider share of market participants, with the ability to directly buy the asset at the click of a button, essentially simplifying the current complexity that involves having to deal with all the cumbersome steps currently in place."
Nicholas refers to the support the Bitcoin ETF has been receiving by the Cboe president Chris Concannon, which is a major positive development. CoinLive reported on the story back in late March, noting that "a Bitcoin ETF will without a doubt open the floodgates to an enormous tsunami of fresh capital entering the space, which based on the latest hints by Concannon, the willingness to keep pushing for it remains unabated as the evolution of digital assets keeps its course."
It has been for quite some time CoinLive's conviction, now supported by no other than Nicholas Merten from Datadash, that over the next 6 months, markets will start factoring in the event of the year, that is, the approval of a Bitcoin ETF that will serve as a alternative vehicle to accommodate the massive flows of capital leaving some of the traditional asset classes. As Nicholas suggests, the SEC will have little choice but to provide alternative investments.
Bitcoin as a Hedge to Lower Portfolios' Volatility
Last but not least, crypto assets such as Bitcoin and the likes have an almost non-existent correlation to other traditional assets such as stocks, bonds, and commodities, which makes for a very attractive and broadly-applicable diversification strategy for the professional money as it reduces one’s portfolio volatility. The moment a Bitcoin ETF is confirmed, expect the non-correlation element of Bitcoin as a major driving force to attract further capital.
Anyone Can Be Wrong Datadash, But You Won't be Wrong Alone
Having analyzed the hypothesis by Nicholas Merten, at CoinLive we believe that the conclusion reached, that is, the creation of a Bitcoin ETF that will provide shelter to a tsunami of capital motivated by the diversification and store of value appeal of Bitcoin, is the next logical step. As per the timing of it, we also anticipate, as Nicholas notes, that it will most likely be subject to the price action in traditional assets. Should equities and credit markets hold steady, it may result in a potential delay, whereas disruption in the capital market may see the need for a BTC ETF accelerate. Either scenario, we will conclude with a quote we wrote back in March.
"It appears as though an ETF on Bitcoin is moving from a state of "If" to "When."
Datadash is certainly not alone on his 50k call. BitMEX CEO Arthur Hayes appears to think along the same line.
On behalf of the CoinLive Team, we want to thank Nicholas Merten at Datadash for such enlightening insights.
submitted by Ivo333 to BitcoinMarkets [link] [comments]

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023
Algorithm Trading Market
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submitted by hannah_jack to TechInsightreports [link] [comments]

[Not my post] The Structure of Forex Brokers

Originally posted by Darkstar at Forex Factory.
Disclaimer: I did not write this. I found this post on ForexFactory written by a user called DarkStar, which I believe a lot of redditors will benefit from reading.
________________________________________________________________________________________________________
There has been much discussion of late regarding borker spreads and liquidity. Many assumptions are being made about why spreads are widened during news time that are built on an incomplete knowledge of the architecture of the forex market in general. The purpose of this article is to dissect the market and hopefully shed some light on the situation so that a more rational and productive discussion can be undertaken by the Forex Factory members.
We will begin with an explanation of the purpose of the Forex market and how it is utilized by its primary participants, expand into the structure and operation of the market, and conclude with the implications of this information for speculators. With that having been said, let us begin.
Unlike the various bond and equity markets, the Forex market is not generally utilized as an investment medium. While speculation has a critical role in its proper function, the lion’s share of Forex transactions are done as a function of international business.
The guy who buys a shiny new Eclipse more then likely will pay for it with US Dollars. Unfortunately Mitsubishi’s factory workers in Japan need to get their paychecks denominated in Yen, so at some point a conversion needs to be made. When one considers that companies like Exxon, Boeing, Sony, Dell, Honda, and thousands of other international businesses move nearly every dollar, real, yen, rubble, pound, and euro they make in a foreign country through the Forex market, it isn’t hard to understand how insignificant the speculative presence is; even in a $2tril per day market.
By and large, businesses don’t much care about the intricacies of exchange rates, they just want to make and sell their products. As a central repository of a company’s money, it was only natural that the banks would be the facilitators of these transactions. In the old days it was easy enough for a bank to call a foreign bank (or a foreign branch of ones own bank) and swap the stockpiles of currency each had accumulated from their many customers.
Just as any business would, the banks bought the foreign currency at one rate and marked it up before selling it to the customer. With that the foreign exchange spread was born. This was (and still is) a reasonable cost of doing business. Mitsubishi can pay its customers and the banks make a nice little profit for the hassle and risks associated with moving around the currency.
As a byproduct of transacting all this business, bank traders developed the ability to speculate on the future of currency rates. Utilizing a better understanding of the market, a bank could quote a business a spread on the current rate but hold off hedging until a better one came along. This process allowed the banks to expand their net income dramatically. The unfortunate consequence was that liquidity was redistributed in a way that made certain transactions impossible to complete.
It was for this reason and this reason alone that the market was eventually opened up to non-bank participants. The banks wanted more orders in the market so that a) they could profit from the less experienced participants, and b) the less experienced participants could provide a better liquidity distribution for execution of international business hedge orders. Initially only megacap hedge funds (such as Soros’s and others) were permitted, but it has since grown to include the retail brokerages and ECNs.

Market Structure:
Now that we have established why the market exists, let’s take a look at how the transactions are facilitated:
The top tier of the Forex market is transacted on what is collectively known as the Interbank. Contrary to popular belief the Interbank is not an exchange; it is a collection of communication agreements between the world’s largest money center banks.
To understand the structure of the Interbank market, it may be easier to grasp by way of analogy. Consider that in an office (or maybe even someone’s home) there are multiple computers connected via a network cable. Each computer operates independently of the others until it needs a resource that another computer possesses. At that point it will contact the other computer and request access to the necessary resource. If the computer is working properly and its owner has given the requestor authorization to do so, the resource can be accessed and the initiating computers request can be fulfilled. By substituting computers for banks and resources for currency, you can easily grasp the relationships that exist on the Interbank.
Anyone who has ever tried to find resources on a computer network without a server can appreciate how difficult it can be to keep track of who has what resources. The same issue exists on the Interbank market with regard to prices and currency inventory. A bank in Singapore may only rarely transact business with a company that needs to exchange some Brazilian Real and it can be very difficult to establish what a proper exchange rate should be. It is for this purpose that EBS and Reuters (hereafter EBS) established their services.
Layered on top (in a manner of speaking) of the Interbank communication links, the EBS service enables banks to see how much and at what prices all the Interbank members are willing to transact. Pains should be taken to express that EBS is not a market or a market maker; it is an application used to see bids and offers from the various banks.
The second tier of the market exists essential within each bank. By calling your local Bank of America branch you can exchange any foreign currency you would like. More then likely they will just move some excess currency from one branch to another. Since this is a micro-exchange with a single counterparty, you are basically at their mercy as to what exchange rate they will quote you. Your choice is to accept their offer or shop a different bank. Everyone who trades the forex market should visit their bank at least once to get a few quotes. It would be very enlightening to see how lucrative these transactions really are.
Branching off of this second tier is the third tier retail market. When brokers like Oanda, Forex.com, FXCM, etc. desire to establish a retail operation the first thing they need is a liquidity provider. Nine in ten of these brokers will sign an agreement with just one bank. This bank will agree to provide liquidity if and only if they can hedge it on EBS inclusive of their desired spread. Because the volume will be significantly higher a single bank patron will transact, the spreads will be much more competitive. By no means should it be expected these tier 3 providers will be quoted precisely what exists on the Interbank. Remember the bank is in the business of collecting spreads and no agreement is going to suspend that priority.
Retail forex is almost akin to running a casino. The majority of its participants have zero understanding how to trade effectively and as a result are consistent losers. The spread system combined with a standard probability distribution of returns gives the broker a built in house advantage of a few percentage points. As a result, they have all built internal order matching systems that play one loser off against a winner and collect the spread. On the occasions when disequilibrium exists within the internal order book, the broker hedges any exposure with their tier 2 liquidity provider.
As bad as this may sound, there are some significant advantages for speculators that deal with them. Because it is an internal order book, many features can be provided which are otherwise unavailable through other means. Non-standard contract sizes, high leverage on tiny account balances, and the ability to transact in a commission free environment are just a few of them…
An ECN operates similar to a Tier 2 bank, but still exists on the third tier. An ECN will generally establish agreements with several tier 2 banks for liquidity. However instead of matching orders internally, it will just pass through the quotes from the banks, as is, to be traded on. It’s sort of an EBS for little guys. There are many advantages to the model, but it is still not the Interbank. The banks are going to make their spread or their not go to waste their time. Depending on the bank this will take the form of price shading or widened spreads depending on market conditions. The ECN, for its trouble, collects a commission on each transaction.
Aside from the commission factor, there are some other disadvantages a speculator should consider before making the leap to an ECN. Most offer much lower leverage and only allow full lot transactions. During certain market conditions, the banks may also pull their liquidity leaving traders without an opportunity to enter or exit positions at their desired price.

Trade Mechanics:
It is convenient to believe that in a $2tril per day market there is always enough liquidity to do what needs to be done. Unfortunately belief does not negate the reality that for every buyer there MUST be a seller or no transaction can occur. When an order is too large to transact at the current price, the price moves to the point where open interest is abundant enough to cover it. Every time you see price move a single pip, it means that an order was executed that consumed (or otherwise removed) the open interest at the current price. There is no other way that prices can move.
As we covered earlier, each bank lists on EBS how much and at what price they are willing to transact a currency. It is important to note that no Interbank participant is under any obligation to make a transaction if they do not feel it is in their best interest. There are no “market makers” on the Interbank; only speculators and hedgers.
Looking at an ECN platform or Level II data on the stock market, one can get a feel for what the orders on EBS look like. The following is a sample representation:
You’ll notice that there is open interest (Level II Vol figures) of various sizes at different price points. Each one of those units represents existing limit orders and in this example, each unit is $1mil in currency.
Using this information, if a market sell order was placed for 38.4mil, the spread would instantly widen from 2.5 pips to 4.5 pips because there would no longer be any orders between 1.56300 and 1.56345. No broker, market maker, bank, or thief in the night widened the spread; it was the natural byproduct of the order that was placed. If no additional orders entered the market, the spread would remain this large forever. Fortunately, someone somewhere will deem a price point between those 2 figures an appropriate opportunity to do something and place an order. That order will either consume more interest or add to it, depending whether it is a market or limit order respectively.
What would have happened if someone placed a market sell order for 2mil just 1 millisecond after that 38.4 mil order hit? They would have been filled at 1.5630 Why were they “slipped”? Because there was no one to take the other side of the transaction at 1.56320 any longer. Again, nobody was out screwing the trader; it was the natural byproduct of the order flow.
A more interesting question is, what would happen if all the listed orders where suddenly canceled? The spread would widen to a point at which there were existing bids and offers. That may be 5,7,9, or even 100 pips; it is going to widen to whatever the difference between a bid and an offer are. Notice that nobody came in and “set” the spread, they just refused to transact at anything between it.
Nothing can be done to force orders into existence that don’t exist. Regardless what market is being examined or what broker is facilitating transactions, it is impossible to avoid spreads and slippage. They are a fact of life in the realm of trading.

Implications for speculators:
Trading has been characterized as a zero sum game, and rightly so. If trader A sells a security to trader B and the price goes up, trader A lost money that they otherwise could have made. If it goes down, Trader A made money from trader B’s mistake. Even in a huge market like the Forex, each transaction must have a buyer and a seller to make a trade and one of them is going to lose. In the general realm of trading, this is materially irrelevant to each participant. But there are certain situations where it becomes of significant importance. One of those situations is a news event.
Much has been made of late about how it is immoral, illegal, or downright evil for a broker, bank, or other liquidity provider to withdraw their order (increasing the spread) and slip orders (as though it was a conscious decision on their part to do so) more then normal during these events. These things occur for very specific reasons which have nothing to do with screwing anyone. Let us examine why:
Leading up to an economic report for example, certain traders will enter into positions expecting the news to go a certain way. As the event becomes immanent, the banks on the Interbank will remove their speculative orders for fear of taking unnecessary losses. Technical traders will pull their orders as well since it is common practice for them to avoid the news. Hedge funds and other macro traders are either already positioned or waiting until after the news hits to make decisions dependent on the result.
Knowing what we now know, where is the liquidity necessary to maintain a tight spread coming from?
Moving down the food chain to Tier 2; a bank will only provide liquidity to an ECN or retail broker if they can instantly hedge (plus their requisite spread) the positions on Interbank. If the Interbank spreads are widening due to lower liquidity, the bank is going to have to widen the spreads on the downstream players as well.
At tier 3 the ECN’s are simply passing the banks offers on, so spreads widen up to their customers. The retailers that guarantee spreads of 2 to 5 pips have just opened a gaping hole in their risk profile since they can no longer hedge their net exposure (ever wonder why they always seem to shut down or requote until its over?). The variable spread retailers in turn open up their spreads to match what is happening at the bank or they run into the same problems fixed spreads broker are dealing with.
Now think about this situation for a second. What is going to happen when a number misses expectations? How many traders going into the event with positions chose wrong and need to get out ASAP? How many hedge funds are going to instantly drop their macro orders? How many retail traders’ straddle orders just executed? How many of them were waiting to hear a miss and executed market orders?
With the technical traders on the sidelines, who is going to be stupid enough to take the other side of all these orders?
The answer is no one. Between 1 and 5 seconds after the news hits it is a purely a 1 way market. That big long pin bar that occurs is a grand total of 2 prices; the one before the news hit and the one after. The 10, 20, or 30 pips between them is called a gap.
Is it any wonder that slippage is in evidence at this time?

Conclusions:
Each tier of the Forex market has its own inherent advantages and disadvantages. Depending on your priorities you have to make a choice between what restrictions you can live with and those you cant. Unfortunately, you can’t always get what you want.
By focusing on slippage and spreads, which are the natural byproduct of order flow, one is not only pursuing a futile ideal, they are passing up an enormous opportunity to capitalize on true inefficiencies. News events are one of the few times where a large number of players are positioned inappropriately and it is fairly easy to profit from their foolishness. If a trader truly wants to make the leap to the next level of profitability they should be spending their time figuring out how identify these positions and trading with the goal of capturing the price movement they inevitably will cause.
Nobody is going to make the argument that a broker is a trader’s best friend, but they still provide a valuable service and should be compensated for their efforts. By accepting a broker for what it is and learning how to work within the limitations of the relationship, traders have access to a world of opportunity that they otherwise could never dream of capturing. Let us all remember that simple truth.
submitted by Cross_Game to Forex [link] [comments]

Global Triennial OTC Derivatives Market 2019 Forecast Analysis by 2023: GF Securities, ZHONGTAI Securities, CITIC Securities, etc.

Global Triennial OTC Derivatives Market 2019 Forecast Analysis by 2023: GF Securities, ZHONGTAI Securities, CITIC Securities, etc.
https://preview.redd.it/4qc32xo9bu731.jpg?width=700&format=pjpg&auto=webp&s=adf4ffa7edf70ef00cc50895057ff05c7ca38037
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The report covers the market study and projection of "Triennial OTC Derivatives Market" on a territorial along with worldwide point . The report establishes subjective and quantitative valuation by industry examiners, direct information, help from industry specialists alongside their latest verbatim and every industry producers through the market value chain. The examination specialists have also evaluated the by and large sales and income creation of this specific market. Moreover, this report additionally conveys broad examination of basic market drift, many key essentials while overseeing macro-economic indicators, combined with market enhancements according to each section.
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submitted by priyakadam137 to ChemicalInsightReport [link] [comments]

Translating Goldman Sachs Top Recommended Trades for 2015 into Bitcoin Derivative Macro Trades

Cross posted from http://www.reddit.com/BitcoinDerivatives/
TL;DR Translating Goldman Sachs ECB QE 2015 trade recommendations into UltraCoin trade setups: Receive exposure to the SPDR Eurostoxx 50 long ETF (speculating that the top 50 EZ equities will rise from currency wars & QE) and pay exposure to the ProShares Ultra Euro ETF (ULE) (with minimum of 2x leverage set in UltraCoin client, up to a practical limit of 50x) seeking to provide twice the exposure to the performance of euro versus the U.S. dollar on a daily basis (speculating the euro will fall relative to the US dollar as a result of currency wars & QE). This trade can be made cleaner by shorting the EURUSD pair directly with a healthy dose of leverage. This would be entered into UltraCoin as "pay" EURUSD (with system leverage set at 50x). Since November 28th, this trade would have been unwound by the UltraCoin server with a near 100% (gross of fees) gain using anything over 7x leverage. There are still some legs left on the trade short term, but we are suspicious of the european equity markets being fully able to benefit from this round of QE to the extent anticipated by the media and sell side analysts.
According to Forbes:
Goldman’s first non-U.S. trade recommendation revolves around an expectation European stock markets rise in 2015 as the impact of ECB money-printing makes its way into the real economy. Goldman recommends investors go long a December 2015 Eurostoxx 50 call spread, buying a Dec. 2015 strike call at 3,150, and selling a Dec. 2015 strike call at 3,450. “The (nearly) at-the-money 3150 call costs 170.6, while selling the 3450 call costs 69.10 (both priced as of the close on November 19), giving this position a maximum potential 2-to-1 payout,” notes Goldman. The firm sees two reasons European stocks will move higher: regional growth simply accelerates, or disappointing inflation readings force the ECB into added action. Both scenarios, Goldman believes, augur well for European asset prices.
First, let's put this in a form that can be traded via UltraCoin. To go long the Eurostoxx 50, we'll receive exposure to the SPDR Eurostoxx 50 long ETF (speculating that the top 50 EZ equities will rise from currency wars & QE) and we will pay exposure to the ProShares Ultra Euro ETF (ULE) seeking to provide twice the exposure to the performance of euro versus the U.S. dollar on a daily basis (speculating the euro will fall relative to the US dollar as a result of currency wars & QE). It should also be noted that leveraged ETF products usually seek to match the return of the euro against the dollar over a single day. Due to this and the compounding of daily returns, the returns of the product may deviate from long term return rates, suggesting that investors need to monitor their holdings closely if they are going to be in for a long time period. It should also be noted that this is a materially more advanced trade setup than that recommended by Goldman, for it captures potential euro downside movement relative to the dollar AND potential european equity market upside -which, according to the Goldman hypothesis, are tightly linked. One would think that Goldman should start recommending trading with UltraCoin, no?
This is what the trade would have done as of Friday's market close.
This trade setup was made before we instituted leverage directly into the system. Now, you can go into the "Advanced" tab and turn the leverage up. We recommend leveraging 2x to 50x, contingent upon your risk tolerance and collateral posting (the more collateral posted, the less chance of getting the contract unwound as your trade goes out of the money. You can also use the direct forex pair EURUSD (levered ETFs suffer from decay issues) and turn the leverage up even more in the UltraCoin client, which gives the same exaggerated price movement, but will track the primary underlying asset more closely. The trade pictured above, would have unwound in your favor by now with anything over 6x leverage with a near 100% return on invested capital. Not bad for 2 and a half months.
See the full analysis. This trade was initially posted on November 28tth, 2014. It did very well. For those who are not familiar with my previous calls, reference: - 1. Reggie Middleton via Wikipedia - 1. A list of many (but not all) of my calls and mentions in the media And a simple walk through video of a sample Ultra-Coin trade: A Simple Apple Trade Using A Pure Bitcoin Wallet: The UltraCoin Client
New comers to BTC derivative trading are urged to download our:
Feel free to contact us.
submitted by Reggie-Middleton to BitcoinMarkets [link] [comments]

Translating Goldman Sachs Top Recommended Trades for 2015 into Bitcoin Derivative Macro Trades

Cross-posted from https://www.reddit.com/BitcoinDerivatives/
TL;DR Translating Goldman Sachs ECB QE 2015 trade recommendations into UltraCoin trade setups: Receive exposure to the SPDR Eurostoxx 50 long ETF (speculating that the top 50 EZ equities will rise from currency wars & QE) and pay exposure to the ProShares Ultra Euro ETF (ULE) (with minimum of 2x leverage set in UltraCoin client, up to a practical limit of 50x) seeking to provide twice the exposure to the performance of euro versus the U.S. dollar on a daily basis (speculating the euro will fall relative to the US dollar as a result of currency wars & QE). This trade can be made cleaner by shorting the EURUSD pair directly with a healthy dose of leverage. This would be entered into UltraCoin as "pay" EURUSD (with system leverage set at 50x). Since November 28th, this trade would have been unwound by the UltraCoin server with a near 100% (gross of fees) gain using anything over 7x leverage. There are still some legs left on the trade short term, but we are suspicious of the european equity markets being fully able to benefit from this round of QE to the extent anticipated by the media and sell side analysts.
According to Forbes:
Goldman’s first non-U.S. trade recommendation revolves around an expectation European stock markets rise in 2015 as the impact of ECB money-printing makes its way into the real economy. Goldman recommends investors go long a December 2015 Eurostoxx 50 call spread, buying a Dec. 2015 strike call at 3,150, and selling a Dec. 2015 strike call at 3,450. “The (nearly) at-the-money 3150 call costs 170.6, while selling the 3450 call costs 69.10 (both priced as of the close on November 19), giving this position a maximum potential 2-to-1 payout,” notes Goldman. The firm sees two reasons European stocks will move higher: regional growth simply accelerates, or disappointing inflation readings force the ECB into added action. Both scenarios, Goldman believes, augur well for European asset prices.
First, let's put this in a form that can be traded via UltraCoin. To go long the Eurostoxx 50, we'll receive exposure to the SPDR Eurostoxx 50 long ETF (speculating that the top 50 EZ equities will rise from currency wars & QE) and we will pay exposure to the ProShares Ultra Euro ETF (ULE) seeking to provide twice the exposure to the performance of euro versus the U.S. dollar on a daily basis (speculating the euro will fall relative to the US dollar as a result of currency wars & QE). It should also be noted that leveraged ETF products usually seek to match the return of the euro against the dollar over a single day. Due to this and the compounding of daily returns, the returns of the product may deviate from long term return rates, suggesting that investors need to monitor their holdings closely if they are going to be in for a long time period. It should also be noted that this is a materially more advanced trade setup than that recommended by Goldman, for it captures potential euro downside movement relative to the dollar AND potential european equity market upside -which, according to the Goldman hypothesis, are tightly linked. One would think that Goldman should start recommending trading with UltraCoin, no?
This is what the trade would have done as of Friday's market close.
This trade setup was made before we instituted leverage directly into the system. Now, you can go into the "Advanced" tab and turn the leverage up. We recommend leveraging 2x to 50x, contingent upon your risk tolerance and collateral posting (the more collateral posted, the less chance of getting the contract unwound as your trade goes out of the money. You can also use the direct forex pair EURUSD (levered ETFs suffer from decay issues) and turn the leverage up even more in the UltraCoin client, which gives the same exaggerated price movement, but will track the primary underlying asset more closely. The trade pictured above, would have unwound in your favor by now with anything over 6x leverage with a near 100% return on invested capital. Not bad for 2 and a half months.
See the full analysis. This trade was initially posted on November 28tth, 2014. It did very well. For those who are not familiar with my previous calls, reference: - 1. Reggie Middleton via Wikipedia - 1. A list of many (but not all) of my calls and mentions in the media And a simple walk through video of a sample Ultra-Coin trade: A Simple Apple Trade Using A Pure Bitcoin Wallet: The UltraCoin Client
New comers to BTC derivative trading are urged to download our:
Feel free to contact us.
submitted by Reggie-Middleton to Bitcoin [link] [comments]

Translating Goldman Sachs Top Recommended Trades for 2015 into Bitcoin Derivative Macro Trades

TL;DR Translating Goldman Sachs ECB QE 2015 trade recommendations into UltraCoin trade setups: Receive exposure to the SPDR Eurostoxx 50 long ETF (speculating that the top 50 EZ equities will rise from currency wars & QE) and pay exposure to the ProShares Ultra Euro ETF (ULE) (with minimum of 2x leverage set in UltraCoin client, up to a practical limit of 50x) seeking to provide twice the exposure to the performance of euro versus the U.S. dollar on a daily basis (speculating the euro will fall relative to the US dollar as a result of currency wars & QE). This trade can be made cleaner by shorting the EURUSD pair directly with a healthy dose of leverage. This would be entered into UltraCoin as "pay" EURUSD (with system leverage set at 50x). Since November 28th, this trade would have been unwound by the UltraCoin server with a near 100% (gross of fees) gain using anything over 7x leverage. There are still some legs left on the trade short term, but we are suspicious of the european equity markets being fully able to benefit from this round of QE to the extent anticipated by the media and sell side analysts.
According to Forbes:
Goldman’s first non-U.S. trade recommendation revolves around an expectation European stock markets rise in 2015 as the impact of ECB money-printing makes its way into the real economy. Goldman recommends investors go long a December 2015 Eurostoxx 50 call spread, buying a Dec. 2015 strike call at 3,150, and selling a Dec. 2015 strike call at 3,450. “The (nearly) at-the-money 3150 call costs 170.6, while selling the 3450 call costs 69.10 (both priced as of the close on November 19), giving this position a maximum potential 2-to-1 payout,” notes Goldman. The firm sees two reasons European stocks will move higher: regional growth simply accelerates, or disappointing inflation readings force the ECB into added action. Both scenarios, Goldman believes, augur well for European asset prices.
First, let's put this in a form that can be traded via UltraCoin. To go long the Eurostoxx 50, we'll receive exposure to the SPDR Eurostoxx 50 long ETF (speculating that the top 50 EZ equities will rise from currency wars & QE) and we will pay exposure to the ProShares Ultra Euro ETF (ULE) seeking to provide twice the exposure to the performance of euro versus the U.S. dollar on a daily basis (speculating the euro will fall relative to the US dollar as a result of currency wars & QE). It should also be noted that leveraged ETF products usually seek to match the return of the euro against the dollar over a single day. Due to this and the compounding of daily returns, the returns of the product may deviate from long term return rates, suggesting that investors need to monitor their holdings closely if they are going to be in for a long time period. It should also be noted that this is a materially more advanced trade setup than that recommended by Goldman, for it captures potential euro downside movement relative to the dollar AND potential european equity market upside -which, according to the Goldman hypothesis, are tightly linked. One would think that Goldman should start recommending trading with UltraCoin, no?
This is what the trade would have done as of Friday's market close.
This trade setup was made before we instituted leverage directly into the system. Now, you can go into the "Advanced" tab and turn the leverage up. We recommend leveraging 2x to 50x, contingent upon your risk tolerance and collateral posting (the more collateral posted, the less chance of getting the contract unwound as your trade goes out of the money. You can also use the direct forex pair EURUSD (levered ETFs suffer from decay issues) and turn the leverage up even more in the UltraCoin client, which gives the same exaggerated price movement, but will track the primary underlying asset more closely. The trade pictured above, would have unwound in your favor by now with anything over 6x leverage with a near 100% return on invested capital. Not bad for 2 and a half months.
See the full analysis. This trade was initially posted on November 28tth, 2014. It did very well. For those who are not familiar with my previous calls, reference: - 1. Reggie Middleton via Wikipedia - 1. A list of many (but not all) of my calls and mentions in the media And a simple walk through video of a sample Ultra-Coin trade: A Simple Apple Trade Using A Pure Bitcoin Wallet: The UltraCoin Client
New comers to BTC derivative trading are urged to download our:
Feel free to contact us.
submitted by Reggie-Middleton to BitcoinDerivatives [link] [comments]

HOW TO TRADE FOREX 2020  MAKE MONEY ONLINE $230 A DAY ... The ONLY Forex Trading Video You Will EVER Need - YouTube How to make money on the Forex market? - YouTube Forex - Spotting Market Manipulation before it happens! Forex Markets Weekly Review Forex Market Making Accumulation and Distribution ALL YOU NEED TO LEARN TO TRADE FOREX - (Full Course in ...

The forex market also offers tremendous leverage—often as high as 100:1—which means that you can control $10,000 worth of assets with as little as $100 of capital. However, leverage can be a ... Forex Trading example. Forex trading allows you to speculate on price movements in the global foreign exchange market. Currency values rise and fall in relation to each other and in response to national and international economic, financial and political events. Viele Forex-Broker haben Schwierigkeiten in diesen Tagen mit harten Marktbedingungen, die durch einen 10-Jahren-Tief der Volatilität gekennzeichnet sind. Dem ältesten Grundsatz der Marktstrategie folgend, zu kaufen wenn es billig ist, fügt GAIN Capital zu seinem Portfolio fleißig hinzu. Die Nachricht wurde auf der japanischen Website von Forex.com auf Japanisch angekündigt. Es ist keine ... Forex Capital Markets Limited ("FXCM LTD") ist eine agierende Tochtergesellschaft innerhalb der FXCM-Unternehmensgruppe (zusammen die "FXCM Gruppe"). Alle Verweise auf dieser Website auf "FXCM" beziehen sich auf die FXCM Gruppe. FXCM LTD ist durch die UK Financial Conduct Authority ("FCA") zugelassen [FCA Registrierungsnummer 217689] und unterliegt deren Bestimmungen. Forex Capital Markets ... - Landes Capital Markets grants its investors a leverage ratio of up to 1: 200 for transactions to be carried out in the forex markets. As an example, you can start an investment of 1,000,000 to 200,000 USD using the 1: 200 leverage ratio. View all Forex Capital Markets Related Articles Coronavirus Developer Resource Center COVID-19 APIs, SDKs, coverage, open source code and other related dev resources » Trade a wide range of forex markets plus spot metals with low pricing and excellent execution. ... this entire sample size covers just 5 unique Presidents, so it may not be as significant as it initially appears. At a minimum, longer-term traders should keep this possible relationship in mind as one factor informing their outlook toward the greenback. (2) The Current State of the Race Despite ... Forex capital markets are foreign exchange markets where the currencies are been bought and sold continuously for profits. The capital markets of Forex are present globally and transactions are non-stop in this Forex cash market. Whether its Sydney or Tokyo, one would find aggressive Forex dealers and brokers peering into their computer screens and on the telephone for minor changes that might ... Also known as Forex or FX, the currency markets represent the constant exchange of currencies between banks and other market participants. Currencies are quoted as a currency pair – for example GBP/USD is the value of US dollar to the British pound. All currencies have a three-letter code. The currency markets, unlike many other markets, are open 24 hours. Stocks Also known as equities ... Forex Capital Markets Limited ("FXCM LTD") is an operating subsidiary within the FXCM group of companies (collectively, the "FXCM Group"). All references on this site to "FXCM" refer to the FXCM Group. Forex Capital Markets Limited is authorised and regulated in the United Kingdom by the Financial Conduct Authority. Registration number 217689 ...

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HOW TO TRADE FOREX 2020 MAKE MONEY ONLINE $230 A DAY ...

In this video we look at at another example of how the Forex market is moved on a daily basis but ultimately arrives back to its starting position. Category Howto & Style; Show more Show less ... Watch our video to find out the basic processes taking place on the foreign exchange market and how you can benefit from them. In addition, you will learn ho... Here's our members only weekly review of the forex markets and what we are looking at next week. Join us here as we successfully take pips upon pips out of the markets every week. The ONLY Forex Trading Video You Will EVER NeedTHIS QUICK TEST WILL HELP YOU BECOME FINANCIALLY FREETake it HERE: https://discover.tiersoffreedom.comTo join my ... Very quick and brief video on how to spot market manipulation before it occurs so you can catch the BIG moves before they happen!! Now gain FULL ACCESS to the Academy for an initial payment of ... Forex Trade With Us http://bit.ly/2EYIbgI Email: [email protected] P.S MY INSTAGRAM IS GONE NOW SO IF SOMEBODY WRITES YOU ITS NOT ME ALSO IM NOT ON T... My Fx Broker: https://my.myfxchoice.com/registration/?ib=107287 Subscribe to my music youtube channel! Big thanks http://youtube.com/vx3k All teaching I do i...

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