London DayBreak Strategy - Advanced Forex Strategies
London DayBreak Strategy - Advanced Forex Strategies
Forex Systems London Close
Complete London Breakout Forex Strategy user guide
LONDON CLOSE TRADE STRATEGY COURSE FULL VERSION
How To Trade The London Breakout Forex Trading Strategy
London Close Strategy by Shirley Hudson Recurring Forex ...
Shirley Hudson's London Close Trading Strategy Forex Factory
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.
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.
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:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
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):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
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.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
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:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
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.
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.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
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):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
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.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
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!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
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.
What Price Does is Real, and Everything Else is Only a Thought.
At the start of the week I made posts saying I thought USDJPY was heading to 110 - 111 this week. I later revised that. At the start of today I said I thought USDJPY would be up, with a low of 105.40 (it'd been at 105.30 already, actually. I was buying 105.40). This had a 7 pip stop and I'd posted another pending order to buy 105.15. This filled, but later in the day I posted I was exiting all USDJPY. Furthermore, I went short. I have some questions about this (and some accusations), and I think what it boils down to really is, "What's with the random flip flopping?" I'd be happy to explain. First we'll chart up the trade themselves. Let's map out clearly the events and outcomes we're talking about here. Here I'll only use the actionable entries and exits. By which I mean, the times I specifically said XXX price enter, XXX price stop. These are the only times I've been engaging the market. The rest has been discussing plans, not executing them. Signals I gave; USDJPY buy 104.60. Stop 104.20 USDJPY buy take profit 106.06 USDJPY buy 105.75 stop 104.20 USDJPY buy updates, tight stop entry 105.75 - 105.80. Stop 105.60 USDJPY take profit 106.50 USDJPY sell 106.50. Stop 106.80 USDJPY take profit 105.35 USDJPY buy 105.35. Stop 105.27 USDJPY stop hits. 8 pips loss. USDJPY sell 105.35. Stop 105.48 USDJPY take profit 105.20 (There was one more trade planned and possibly executed on by some people. I've not included it since there was no exits given. Just a price action condition to enter. I'll touch on that trade too a little) I can't be bothered getting all the stuff together to show this, but it is in my weeks posting history. Those of you who followed closely what I was posting this week and had these trade plan discussion with me where we defined the actual entry and exits, please confirm in the comments this is at least reasonable accurate. https://preview.redd.it/110x6tohnnj31.png?width=814&format=png&auto=webp&s=4a346672f67dadb585f7b1738f8d8802a996b987 White, green winning buys. Yellow winning sell. Red Losing buy. (The final scalp I've not added because it's too small. It was from about the last high to last low, though. You can check) I think these are good trades. Throughout my posts talking about these trade setups I think I've presented solid reasoning, and good information on risk awareness and control. I think that, but we all have perspectives. Here's an exchange with someone with another perspective thinking my way of trading (I don't think they read 1/4 of my posts to know what I am doing) is harmful to explain. Only to those who do not consume the full explanation., would be my thought. https://preview.redd.it/6r6h9wwhonj31.png?width=813&format=png&auto=webp&s=48465a16cc34a2a4b426b727c00d9641da73ac9c https://preview.redd.it/niv3ce6lonj31.png?width=803&format=png&auto=webp&s=c6ecc2acfef538da3fa8406a7620e39efd15469e The entries that are being criticised here are the white buy, the green buy and the yellow sell. When we look at these on a chart, it is clear this was not teaching people to reverse because price was not going there way. It was teaching them to take profits at good places, and enter into new trades with good probabilities. There was only one time the market moved against the direction I'd given in trading signals, it was the buy today. It was from 135.27, and it hit a 8 pip stop. After the stop hit, price retested the entry level and then continued to head lower into the close of the week (we sold, profiting from this and covering the loss on the buy). Everyone has their own ideas about how things can and can not be done, but the raw facts here are none of my signals exposed to large risks, and the trades entered and exited at excellent prices. Whether or not this is gambling depends on how often I can do it. I done exactly the same trade pattern last week. Before I executed the trade plan last week, I explained every aspect of it. I even drew the chart. Literally. I covered all my forecasts in the close of this post.. Through this week, I've explained the exact same thing step by step, and again entered precisely at the start and end of swings. If you think this is gamblers luck, I don't fancy your odds. They odds will get longer. I'll keep posting forecasts, execution and reports. I may win or lose, can never know ... but I know the long term trend. After getting stopped out, I reversed. This was not a great trade because it was late in the week, but is part of an established trading pattern I use. I don't know why you guys stop loss, but I do it because the market has proved me wrong. Usually I have reasons I'd be wrong and why they'd change my view on the market. Here was the specs I wanted to see to keep this trade active. https://preview.redd.it/lqywirooqnj31.png?width=709&format=png&auto=webp&s=224038831b6421d71e757b8a0b655fe760868f3b Source: https://www.reddit.com/usewhatthefx/comments/cx7gun/usdjy_now_we_sell/ When the London low broke, the entire strategy this trade was based upon failed. Signals from it became invalid. The stop loss this strategy used is placed purposefully. When it hits, price very often will retest the entry but never go back into profit before gathering a far larger loss than the 8 pips would be. So this is the kill point, and also the point at which the market shows counter momentum. When it does this, I then deploy a contingency strategy where I look for small chart trend and corrective patterns to reverse on the position. I've practised this a lot, and tested many variant of stops, re-entries and reversal. What I do is highly efficient at getting out of the market and covering the loss in the following trading pattern. All of the trades I posted this week won (even the losing one was dealt with in a winning way). Even though my overall forecast was incorrect, I used strategies and designed trading patterns to adapt my thoughts to profit from what the market was actually doing. Where price really goes is where we really make money. Not in all the reasons we think things about what price can do. I spend a lot of time on what I do. I've been posting here for a month now, and objective review of my entries and exits shows they have done well. Please .... please, can people stop telling me in absolute terms what "can't be done". You have to start to do one of two things; 1 - Relate the real analysis and entries and exits of what I do to your opinion of what I do. 2 - Start to use the words, "I think ..." if you're making speculations that do not relate to current facts.
Daily analysis of cryptocurrencies 20191109 (Market index 38 — Fear state)
https://preview.redd.it/ofi0c61nnmx31.png?width=735&format=png&auto=webp&s=c57ef91e3ce26cc1ea8ab8f0c96f17c9c5f68bf5 Malaysia To Impose Restrictions On Cash Transactions The Malaysian government plans to impose restrictions on cash transactions reports local media platform The Star. According to the publication, the move is part of efforts to combat money laundering in the country. Commenting on the plan, Datuk Abdul Rasheed Ghaffour, the deputy governor of Malaysia’s Central Bank Negara (BNM), remarked: “This is to address the abuse of physical cash used for illicit activities.” Malaysian economist, Barjoyai Bardai believes the proposed cash transaction limit in the country could boost digital currency adoption. EU Is Working On ECB Digital Currency With Possible Progress Next Year According to Reuters, progress on the feasibility of a digital currency backed by the European Central Bank could be made in the coming months, senior officials said on Nov 8, cautioning that the project faced challenges and was for the long term. Tunisia Issues Central Bank Digital Currency On Nov 9, the TASS news agency reported that the Central Bank of Tunisia was to be the first to release a digital currency. The ‘E-dinar’ was officially launched in the test form at the Forex Club of Tunisia, with a symbolic transfer of one dinar between the head of the central bank, Marouane El Abassi, and a representative of the International Monetary Fund (IMF). At the time of writing, Bitcoin is trading down nearly 5% at its current price of $8,850, which marks a notable drop from its 24-hour highs of $9,300. Prior to today’s drop, Bitcoin has been caught in a relatively tight trading range between $9,000 and $9,500 for a couple of weeks, and neither bulls nor bears had been able to incur enough strength to push the crypto out of this trading range until early this morning when bears forced it below its lower range boundary at $9,000. In the time since its drop, BTC has shown no sign of slowing its decent, as it continued to slowly grind lower as the morning dragged on. Review previous articles:https://firstname.lastname@example.org
Encrypted project calendar（November 9, 2019）
CENNZ/Centrality:Centrality (CENNZ) will meet in InsurTechNZ Connect — Insurance and Blockchain on October 9th in Auckland.HTMLCOIN (HTML):09 November 2019 (or earlier) Mandatory Wallet Update Mandatory Wallet Update: there will be a soft fork on our blockchain. This update adds header signature verification on block 997,655.Harmony (ONE):09 November 2019 Indian Meetups Come & meet us in person on November 9th in our meetups in Bangalore & New Delhi!
Encrypted project calendar（November 10, 2019）
Bibox Token (BIX):10 November 2019 Bibox Summit “Bibox Summit 2019 — Maximizing Profit On Uptrend Season” from 1 PM — 5 PM (ITV) in Ho Chi Minh City.TRON (TRX):10 November 2019 AMA w/Kucoin Co-founder “Join us on Nov 10, 6:00 PM(PST) for an AMA with TOP, Co-Founder of@kucoincom, in our English Telegram group…”
Encrypted project calendar（November 11, 2019）
PAX/Paxos Standard:Paxos Standard (PAX) 2019 Singapore Financial Technology Festival will be held from November 11th to 15th, and Paxos Standard will attend the conference.Crypto.com Coin (CRO):and 3 others 11 November 2019 Capital Warm-up Party Capital Warm-up Party in Singapore.GoldCoin (GLC):11 November 2019 Reverse Bitcoin Hardfork The GoldCoin (GLC) Team will be “Reverse Hard Forking” the Bitcoin (BTC) Blockchain…”Horizen (ZEN):11 November 2019 (or earlier) Horizen Giveaway — Nodes Horizen Giveaway — Win Free Node Hosting! Entries before November 11th.SINOVATE (SIN):11 November 2019 Roadmap V3 SINOVATE (SIN) Roadmap V3 will be released with new upcoming technologies and proof of concepts!0x (ZRX):11 November 2019 0x V3 Vote Ends “The voting period will end on November 11. Learn more about all the exciting features included in v3 below.”Akropolis (AKRO):and 4 others 11 November 2019 Kucoin Blockchain Day “KuCoin Blockchain Day Berlin 2019” from 5 PM — 9:15 PM (CET) in Berlin.
Encrypted project calendar（November 12, 2019）
BTC/Bitcoin:The CoinMarketCap Global Conference will be held at the Victoria Theatre in Singapore from November 12th to 13thBinance Coin (BNB)and 7 others: 12 November 2019 CMC Global Conference “The first-ever CoinMarketCap large-scale event: A one-of-a-kind blockchain / crypto experience like you’ve never experienced before.”Aion (AION)and 17 others: 12 November 2019 The Capital The Capital conference from November 12–13 in Singapore.Loom Network (LOOM):12 November 2019 Transfer Gateway Update “If you have a dapp that relies on the Transfer Gateway, follow the instructions below to make sure you’re prepared.”Kava (KAVA):12 November 2019 Updated Mainnet Launch “Our updated mainnet launch will be on Tuesday November 12th at 14:00 UTC.”Crypto.com Coin (CRO):12 November 2019 Telegram AMA Live AMA with CRO COO and Kucoin’s Global Community Manager on KuCoin’s official English Telegram channel at 16:00 (UTC+8).Chainlink (LINK):and 1 other 12 November 2019 NYC Meetup “Ontology + Future of Blockchain in China Meetup Presented by Chainlink” in NYC from 6:30 PM — 8:30 PM.
Encrypted project calendar（November 13, 2019）
Fetch.ai (FET):13 November 2019 Cambridge Meetup “Join us for a@Fetch_ai#Cambridge #meetup on 13 November@pantonarms1.”Binance Coin (BNB)and 5 others: 13 November 2019 Blockchain Expo N.A. “It will bring together key industries from across the globe for two days of top-level content and discussion across 5 co-located events…”OKB (OKB):13 November 2019 Dnipro, Ukraine- Talks Join us in Dnipro as we journey through Ukraine for our OKEx Cryptour on 11 Nov.Centrality (CENNZ):13 November 2019 AMA Meetup “Ask our CEO@aaronmcdnzanything in person! Join the AMA meetup on 13 November in Singapore.”OKB (OKB):13 November 2019 OKEx Cryptotour Dnipro “OKEx Cryptour Ukraine 2019 — Dnipro” in Dnipro from 6–9 PM (EET).Vexanium (VEX):13 November 2019 Dapps Incentive Program Vexanium will give an incentive for every Dapps that is submitted during this program period.Egretia (EGT):13 November 2019 Post Consensus Invest “2019 NYC Blockchain Gaming & DeFi Party | Post Consensus Invest” in NYC from 7–9 PM.Holo (HOT):13 November 2019 AMA “Submit your questions before the #AMA on Nov 13th @ 5PM — 5:45PM UTC”
Encrypted project calendar（November 14, 2019）
BTC/Bitcoin:The 2019 BlockShow Asia Summit will be held at Marina Bay Sands, Singapore from November 14th to 15th.Binance Coin (BNB):and 4 others 14 November 2019 BlockShow Asia 2019 BlockShow Asia 2019 at Marina Bay Sands Expo, Singapore from November 14–15.Basic Attention Token (BAT): 14 November 2019 London Privacy Meetup “If you’re in London on Nov. 14th, don’t miss our privacy meetup! The Brave research team, our CPO@johnnyryan, as well as@UoE_EFIHorizen (ZEN):14 November 2019 Weekly Insider Team updates at 3:30 PM UTC/ 11:30 AM EDT: Engineering, Node network, Product/UX, Helpdesk, Legal, BD, Marketing, CEO Closing thoughts, AMA.IOTA (MIOTA):14 November 2019 Berlin Meetup From Construction to Smart City: IOTA, Maschinenraum & Thinkt Digital will explain, using concrete use cases, how to gain real value from..Dash (DASH):14 November 2019 Q3 Summary Call “Dash Core Group Q3 2019 Summary Call — Thursday, 14 November 2019”NEO (NEO):14 November 2019 NeoFest Singapore Meetup “Glad to have@Nicholas_Mertenfrom DataDash as our host for #NeoFest Singapore meetup on 14th Nov!”ANON (ANON):14 November 2019 ANONIO Wallet Upgrade In conjunction with the Echelon Update, the ANONIO wallet will also be receiving an upgrade!
Encrypted project calendar（November 15, 2019）
TRON (TRX):15 November 2019 Cross-chain Project “The #TRON cross-chain project will be available on Nov. 15th”Bluzelle (BLZ):15 November 2019 (or earlier) CURIE Release CURIE release expected by early November 2019.Zebi (ZCO):15 November 2019 ZEBI Token Swap Ends “… We will give 90 days to all the ERC 20 token holders to swap out their tokens into Zebi coins.”OKB (OKB):15 November 2019 OKEx Talks — Vilnius “Join us for a meetup on 15 Nov (Fri) for our 1st ever Talks in Vilnius, Lithuania.”Zenon (ZNN):15 November 2019 Awareness Fund Payout “Distribution of the fund takes place every Friday until Pillars Lock-in Phase is completed.”
Encrypted project calendar（November 16, 2019）
Bancor (BNT): and 2 others 16 November 2019 Crypto DeFiance-Singapore “Crypto DeFiance is a new global DeFi event embracing established innovators, financial market disruptors, DApp developers…”NEM (XEM):16 November 2019 Developer’s Event “BLOCKCHAIN: Creation of Multifirma services” from 10:50 AM — 2 PM.
Encrypted project calendar（November 17, 2019）
OKB (OKB):17 November 2019 OKEx Talks — Lagos Join us on 17 Nov for another OKEx Talks, discussing the “Life of a Crypto Trader”.
Encrypted project calendar（November 18, 2019）
Maker (MKR):18 November 2019 MCD Launch “BIG changes to terminology are coming with the launch of MCD on Nov. 18th Say hello to Vaults, Dai, and Sai.”
Encrypted project calendar（November 19, 2019）
Lisk (LSK):19 November 2019 Lisk.js “We are excited to announce liskjs2019 will take place on November 19th. This all day blockchain event will include…”
Encrypted project calendar（November 20, 2019）
OKB (OKB):20 November 2019 OKEx Cryptour Odessa Ukr “Join us in Odessa as we journey through Ukraine for our OKEx Cryptour!
Encrypted project calendar（November 21, 2019）
Cardano (ADA):and 2 others 21 November 2019 Meetup Netherlands (AMS) “This meetup is all about how to decentralize a blockchain, the problems and differences between Proof-of-Work and Proof-of-Stake…”Cappasity (CAPP):21 November 2019 Virtuality Paris 2019 “Cappasity to demonstrate its solution for the interactive shopping experience at Virtuality Paris 2019.”Horizen (ZEN):21 November 2019 Weekly Insider Team updates at 3:30 PM UTC/ 11:30 AM EDT: Engineering, Node network, Product/UX, Helpdesk, Legal, BD, Marketing, CEO Closing thoughts, AMA.OKB (OKB):21 November 2019 OKEx Talks — Johannesburg “Join us the largest city of South Africa — Johannesburg where we will host our OKEx Talks on the 21st Nov.”IOST (IOST):22 November 2019 Singapore Workshop Join the Institute of Blockchain for their 2nd IOST technical workshop in Singapore on 22 Nov 2019. The workshop includes IOST’s key tech.OKB (OKB):22 November 2019 St. Petersberg Talks “Join us in St. Petersberg on 22 Nov as we answer your questions on Crypto Security. “
Encrypted project calendar（November 22, 2019）
IOST (IOST):22 November 2019 Singapore Workshop Join the Institute of Blockchain for their 2nd IOST technical workshop in Singapore on 22 Nov 2019. The workshop includes IOST’s key techOKB (OKB):22 November 2019 St. Petersberg Talks “Join us in St. Petersberg on 22 Nov as we answer your questions on Crypto Security. “
Encrypted project calendar（November 27, 2019）
OKB (OKB):27 November 2019 OKEx Cryptour Vinnytsia “Join us in Vinnytsia as we journey through Ukraine for our OKEx Cryptour!”Fetch.ai (FET):27 November 2019 London Meetup “Join us on 27 November@primalbasehqto hear an exciting progress report as we prepare for the launch of our #mainnet”
Encrypted project calendar（November 28, 2019）
Horizen (ZEN):28 November 2019 Weekly Insider Team updates at 3:30 PM UTC/ 11:30 AM EDT: Engineering, Node network, Product/UX, Helpdesk, Legal, BD, Marketing, CEO Closing thoughts, AMA.
Encrypted project calendar（November 30, 2019）
Ethos (ETHOS):30 November 2019 (or earlier) Rebranding “In November, we unveil the broker token, a dynamic utility token to power our commission-free crypto trading and broker platform, Voyager.”Digitex Futures (DGTX):30 November 2019 Public Testnet Launch “…We can expect to see the world’s first zero-commission futures trading platform live on the Ethereum public testnet from 30th November.”Monero (XMR):30 November 2019 Protocol Upgrade “Preliminary information thread regarding the scheduled protocol upgrade of November 30.”Chiliz (CHZ):30 November 2019 (or earlier) Fiat to CHZ Exchanges “We will add another two fiat to $CHZ exchanges in November…”Skrumble Network (SKM):30 November 2019 (or earlier) P2P & Group Calling “P2P & Group Video Calling,” during November 2019.Aergo (AERGO):30 November 2019 (or earlier) Mainnet 2.0 Upgrade Mainnet 2.0 Protocol update by end of November.Akropolis (AKRO):30 November 2019 (or earlier) Beta Release “All functionality has been deployed to mainnet.”Nash Exchange (NEX):30 November 2019 (or earlier) Mobile Strategy Phase 2 “Phase 2 of our mobile strategy will be live soon with our wallet and portfolio app hitting stores in November!”
Encrypted project calendar（November 31, 2019）
Wanchain (WAN):31 December 2019 (or earlier) Wanchain 4.0 Release Wanchain 4.0, which introduces private chains integration and multi-coin wallet, released in Dec 2019.QuarkChain (QKC):31 December 2019 (or earlier) Token Testnet Release Testnet for Multi-Native-Token and New Consensuses.
"Satoshi Nakamoto" the mysterious creator of Bitcoin is no other than the CIA
Bitcoin has surged to all time highs, Who created Bitcoin, and why? The creator of Bitcoin is officially a name, “Satoshi Nakamoto” – very few people believe that it was a single male from Japan. In the early days of Bitcoin development this name is associated with original key-creation and communications on message boards, and then the project was officially handed over to others at which point this Satoshi character never appeared again (Although from time to time someone will come forward saying they are the real Satoshi Nakamoto, and then have their posts deleted). Bitcoin could very well be the ‘one world currency’ that conspiracy theorists have been talking about for some time. It’s a kill five birds with one stone solution – not only is Bitcoin an ideal one world currency, it allows law enforcement a perfect record of all transactions on the network. It states very clearly on bitcoin.org (the official site) in big letters “Bitcoin is not anonymous” : Some effort is required to protect your privacy with Bitcoin. All Bitcoin transactions are stored publicly and permanently on the network, which means anyone can see the balance and transactions of any Bitcoin address. However, the identity of the user behind an address remains unknown until information is revealed during a purchase or in other circumstances. This is one reason why Bitcoin addresses should only be used once. Another advantage of Bitcoin is the problem of Quantitative Easing – the Fed (and thus, nearly all central banks in the world) have painted themselves in a corner, metaphorically speaking. QE ‘solved’ the credit crisis, but QE itself does not have a solution. Currently all currencies are in a race to zero – competing with who can print more money faster. Central Bankers who are in systemic analysis, their economic advisors, know this. They know that the Fiat money system is doomed, all what you can read online is true (just sensationalized) – it’s a debt based system based on nothing. That system was created, originally in the early 1900’s and refined during Breton Woods followed by the Nixon shock (This is all explained well in Splitting Pennies). In the early 1900’s – there was no internet! It is a very archaic system that needs to be replaced, by something modern, electronic, based on encryption. Bitcoin! It’s a currency based on ‘bits’ – but most importantly, Bitcoin is not the ‘one world currency’ per se, but laying the framework for larger cryptocurrency projects. In the case of central banks, who control the global monetary system, that would manifest in ‘Settlement Coin’ : Two resources available almost exclusively to central banks could soon be opened up to additional users as a result of a new digital currency project designed by a little-known startup and Swiss bank UBS. One of those resources is the real-time gross settlement (RTGS) system used by central banks (it’s typically reserved for high-value transactions that need to be settled instantly), and the other is central bank-issued cash. Using the Utility Settlement Coin (USC) unveiled today, the five-member consortium that has sprung up around the project aims to help central banks open-up access to these tools to more customers. If successful, USC has the potential to create entirely new business models built on instant settling and easy cash transfers. In interview, Robert Sams, founder of London-based Clearmatics, said his firm initially worked with UBS to build the network, and that BNY Mellon, Deutsche Bank, ICAP and Santander are only just the first of many future members. the NSA/CIA often works for big corporate clients, just as it has become a cliche that the Iraq war was about big oil, the lesser known hand in global politics is the banking sector. In other words, Bitcoin may have very well been ‘suggested’ or ‘sponsored’ by a banker, group of banks, or financial services firm. But the NSA (as we surmise) was the company that got the job done. And probably, if it was in fact ‘suggested’ or ‘sponsored’ by a private bank, they would have been waiting in the wings to develop their own Bitcoin related systems or as in the above “Settlement Coin.” So the NSA made Bitcoin – so what? The FX markets currently represent the exchange between ‘major’ and ‘minor’ currencies. In the future, why not too they will include ‘cryptocurrencies’ – we’re already seeing the BTC/EUR pair popup on obscure brokers. When BTC/USD and BTC/EUR are available at major FX banks and brokers, we can say – from a global FX perspective, that Bitcoin has ‘arrived.’ Many of us remember the days when the synthetic “Euro” currency was a new artificial creation that was being adopted, although the Euro project is thousands of degrees larger than the Bitcoin project. But unlike the Euro, Bitcoin is being adopted at a near exponential rate by demand (Many merchants resisted the switch to Euros claiming it was eating into their profit margins and they were right!). And to answer the question as to why Elite E Services is not actively involved in Bitcoin the answer is that previously, you can’t trade Bitcoin. Now we’re starting to see obscure brokers offering BTC/EUR but the liquidity is sparse and spreads are wacky – that will all change. When we can trade BTC/USD just like EUUSD you can bet that EES and a host of other algorithmic FX traders will be all over it! It will be an interesting trade for sure, especially with all the volatility, the cross ‘pairs’ – and new cryptocurrencies. For the record, for brokers- there’s not much difference adding a new symbol (currency pair) in MT4 they just need liquidity, which has been difficult to find. So there’s really nothing revolutionary about Bitcoin, it’s just a logical use of technology in finance considering a plethora of problems faced by any central bank who creates currency. And there are some interesting caveats to Bitcoin as compared to major currencies; Bitcoin is a closed system (there are finite Bitcoin) – this alone could make such currencies ‘anti-inflationary’ and at the least, hold their value (the value of the USD continues to deteriorate slowly over time as new M3 introduced into the system.) But we need to pay Here’s some interesting theories about who or whom is Satoshi: A corporate conglomerate Some researchers proposed that the name ‘Satoshi Nakamoto’ was derived from a combination of tech companies consisting of Samsung, Toshiba, Nakayama, and Motorola. The notion that the name was a pseudonym is clearly true and it is doubtful they reside in Japan given the numerous forum posts with a distinctly English dialect. Craig Steven Wright This Australian entrepreneur claims to be the Bitcoin creator and provided proof. But soon after, his offices were raided by the tax authorities on ‘an unrelated matter’ Soon after these stories were published, authorities in Australia raided the home of Mr Wright. The Australian Taxation Office said the raid was linked to a long-running investigation into tax payments rather than Bitcoin. Questioned about this raid, Mr Wright said he was cooperating fully with the ATO. “We have lawyers negotiating with them over how much I have to pay,” he said. Other potential creators Nick Szabo, and many others, have been suggested as potential Satoshi – but all have denied it: The New Yorker published a piece pointing at two possible Satoshis, one of whom seemed particularly plausible: a cryptography graduate student from Trinity College, Dublin, who had gone on to work in currency-trading software for a bank and published a paper on peer-to-peer technology. The other was a Research Fellow at the Oxford Internet Institute, Vili Lehdonvirta. Both made denials. Fast Company highlighted an encryption patent application filed by three researchers – Charles Bry, Neal King and Vladimir Oksman – and a circumstantial link involving textual analysis of it and the Satoshi paper which found the phrase “…computationally impractical to reverse” in both. Again, it was flatly denied. THE WINNER: It was the NSA The NSA has the capability, the motive, and the operational capacity – they have teams of cryptographers, the biggest fastest supercomputers in the world, and they see the need. Whether instructed by their friends at the Fed, in cooperation with their owners (i.e. Illuminati banking families), or as part of a DARPA project – is not clear and will never be known (unless a whistleblower comes forward). In fact, the NSA employs some of the best mathematicians and cryptographers in the world. Few know about their work because it’s a secret, and this isn’t the kind of job you leave to start your own cryptography company. But the real smoking Gun, aside from the huge amount of circumstantial evidence and lack of a credible alternative, is the 1996 paper authored by NSA “HOW TO MAKE A MINT: THE CRYPTOGRAPHY OF ANONYMOUS ELECTRONIC CASH” The NSA was one of the first organizations to describe a Bitcoin-like system. About twelve years before Satoshi Nakamotopublished his legendary white paper to the Metzdowd.com cryptography mailing list, a group of NSA information security researchers published a paper entitled How to Make a Mint: the Cryptography of Anonymous Electronic Cash in two prominent places, the first being an MIT mailing list and the second being much more prominent, The American Law Review The paper outlines a system very much like Bitcoin in which secure financial transactions are possible through the use of a decentralized network the researchers refer informally to as a Bank. They list four things as indispensable in their proposed network: privacy, user identification (protection against impersonation), message integrity (protection against tampering/substitution of transaction information – that is, protection against double-spending), and nonrepudiation (protection against later denial of a transaction – a blockchain!). It is evident that SHA-256, the algorithm Satoshi used to secure Bitcoin, was not available because it came about in 2001. However, SHA-1 would have been available to them, having been published in 1993. Why would the NSA want to do this? One simple reason: Control. As we explain in Splitting Pennies – Understanding Forex – the primary means the US dominates the world is through economic policy, although backed by bombs. And the critical support of the US Dollar is primarily, the military. The connection between the military and the US Dollar system is intertwined inextricably. There are thousands of great examples only one of them being how Iraq switched to the Euro right before the Army’s invasion. In October 2000 Iraq insisted on dumping the US dollar – ‘the currency of the enemy’ – for the more multilateral euro. The changeover was announced on almost exactly the same day that the euro reached its lowest ebb, buying just $0.82, and the G7 Finance Ministers were forced to bail out the currency. On Friday the euro had reached $1.08, up 30 per cent from that time. Almost all of Iraq’s oil exports under the United Nations oil-for-food programme have been paid in euros since 2001. Around 26 billion euros (£17.4bn) has been paid for 3.3 billion barrels of oil into an escrow account in New York. The Iraqi account, held at BNP Paribas, has also been earning a higher rate of interest in euros than it would have in dollars. The point here is there are a lot of different types of control. The NSA monitors and collects literally all electronic communications; internet, phone calls, everything. They listen in even to encrypted voice calls with high powered microphones, devices like cellphones equipped with recording devices (See original “Clipper” chip). It’s very difficult to communicate on planet Earth in private, without the NSA listening. So it is only logical that they would also want complete control of the financial system, including records of all electronic transactions, which Bitcoin provides. Could there be an ‘additional’ security layer baked into the Blockchain that is undetectable, that allows the NSA to see more information about transactions, such as network location data? It wouldn’t be so far fetched, considering their past work, such as Xerox copy machines that kept a record of all copies made (this is going back to the 70’s, now it’s common). Of course security experts will point to the fact that this layer remains invisible, but if this does exist – of course it would be hidden. More to the point about the success of Bitcoin – its design is very solid, robust, manageable – this is not the work of a student. Of course logically, the NSA employs individuals, and ultimately it is the work of mathematicians, programmers, and cryptographers – but if we deduce the most likely group capable, willing, and motivated to embark on such a project, the NSA is the most likely suspect. Universities, on the other hand, didn’t product white papers like this from 1996. Another question is that if it was the NSA, why didn’t they go through more trouble concealing their identity? I mean, the internet is rife with theories that it was in fact the NSA/CIA and “Satoshi Nakamoto” means in Japanese “Central Intelligence” – well there are a few answers for this, but to be congruent with our argument, it fits their profile. Where could this ‘hidden layer’ be? Many think it could be in the public SHA-256, developed by NSA (which ironically, was the encryption algorithm of choice for Bitcoin – they could have chosen hundreds of others, which arguably are more secure): Claims that the NSA created Bitcoin have actually been flung around for years. People have questioned why it uses the SHA-256 hash function, which was designed by the NSA and published by the National Institute for Standards and Technology (NIST). The fact that the NSA is tied to SHA-256 leads some to assume it’s created a backdoor to the hash function that no one has ever identified, which allows it to spy on Bitcoin users. “If you assume that the NSA did something to SHA-256, which no outside researcher has detected, what you get is the ability, with credible and detectable action, they would be able to forge transactions. The really scary thing is somebody finds a way to find collisions in SHA-256 really fast without brute-forcing it or using lots of hardware and then they take control of the network,” cryptography researcher Matthew D. Green of Johns Hopkins University said in a previous interview. Then there’s the question of “Satoshi Nakamoto” – if it was in fact the NSA, why not just claim ownership of it? Why all the cloak and dagger? And most importantly, if Satoshi Nakamoto is a real person, and not a group that wants to remain secret – WHY NOT come forward and claim your nearly $3 Billion worth of Bitcoin (based on current prices). Did the NSA create Satoshi Nakamoto? The CIA Project, a group dedicated to unearthing all of the government’s secret projects and making them public, hasreleased a video claiming Bitcoin is actually the brainchild of the US National Security Agency. The video entitled CIA Project Bitcoin: Is Bitcoin a CIA or NSA project? claims that there is a lot of compelling evidences that proves that the NSA is behind Bitcoin. One of the main pieces of evidence has to do with the name of the mysterious man, woman or group behind the creation of Bitcoin, “Satoshi Nakamoto”. According to the CIA Project, Satoshi Nakamoto means “Central Intelligence” in Japanese. Doing a quick web search, you’ll find out that Satoshi is usually a name given for baby boys which means “clear thinking, quick witted, wise,” while Nakamoto is a Japanese surname which means ‘central origin’ or ‘(one who lives) in the middle’ as people with this surname are found mostly in the Ryukyu islands which is strongly associated with the Ry?ky? Kingdom, a highly centralized kingdom that originated from the Okinawa Islands. So combining Nakamoto and Satoshi can be loosely interpreted as “Central Intelligence”. Is it so really hard to believe? This is from an organization that until the Snowden leaks, secretly recorded nearly all internet traffic on the network level by splicing fiber optic cables. They even have a deep-sea splicing mission that will cut undersea cables and install intercept devices. Making Bitcoin wouldn’t even be a big priority at NSA. Certainly, anonymity is one of the biggest myths about Bitcoin. In fact, there has never been a more easily traceable method of payment. Every single transaction is recorded and retained permanently in the public “blockchain”. The idea that the NSA would create an anarchic, peer-to-peer crypto-currency in the hope that it would be adopted for nefarious industries and become easy to track would have been a lot more difficult to believe before the recent leaks by Edward Snowden and the revelation that billions of phone calls had been intercepted by the US security services. We are now in a world where we now know that the NSA was tracking the pornography habits of Islamic “radicalisers” in order to discredit them and making deals with some of the world’s largest internet firms to insert backdoors into their systems. And we’re not the only ones who believe this, in Russia they ‘know’ this to be true without sifting through all the evidence. Nonetheless, Svintsov’s remarks count as some of the more extreme to emanate from the discussion. Svintsov told Russian broadcast news agency REGNUM:“All these cryptocurrencies [were] created by US intelligence agencies just to finance terrorism and revolutions.”Svintsov reportedly went on to explain how cryptocurrencies have started to become a payment method for consumer spending, and cited reports that terrorist organisations are seeking to use the technology for illicit means. Let’s elaborate on what is ‘control’ as far as the NSA is concerned. Bitcoin is like the prime mover. All future cryptocurrencies, no matter how snazzy or functional – will never have the same original keys as Bitcoin. It created a self-sustained, self-feeding bubble – and all that followed. It enabled law enforcement to collect a host of criminals on a network called “Silk Road” and who knows what other operations that happened behind the scenes. Because of pesky ‘domestic’ laws, the NSA doesn’t control the internet in foreign countries. But by providing a ‘cool’ currency as a tool, they can collect information from around the globe and like Facebook, users provide this information voluntarily. It’s the same strategy they use like putting the listening device in the chips at the manufacturing level, which saves them the trouble of wiretapping, electronic eavesdropping, and other risky methods that can fail or be blocked. It’s impossible to stop a cellphone from listening to you, for example (well not 100%, but you have to physically rewire the device). Bitcoin is the same strategy on a financial level – by using Bitcoin you’re giving up your private transactional information. By itself, it would not identify you per se (as the blockchain is ‘anonymous’ but the transactions are there in the public register, so combined with other information, which the NSA has a LOT OF – they can triangulate their information more precisely. That’s one problem solved with Bitcoin – another being the economic problem of QE (although with a Bitcoin market cap of $44 Billion, that’s just another day at the Fed buying MBS) – and finally, it squashes the idea of sovereignty although in a very, very, very subtle way. You see, a country IS a currency. Until now, currency has always been tied to national sovereignty (although the Fed is private, USA only has one currency, the US Dollar, which is exclusively American). Bitcoin is a super-national currency, or really – the world’s first one world currency. Of course, this is all great praise for the DOD which seems to have a 50 year plan – but after tens of trillions spent we’d hope that they’d be able to do something better than catching terrorists (which mostly are artificial terrorists)
Binary Assassin Review Is BinaryAssassin.co Scam Or Not? - Binary Assassin Review Is Binary Assassin A Scam Or Legit?
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Click Here To Download Binary Assassin Software Right NOW! Binary Options Trading are all shortcuts for common foreign exchange market exchange. In fact, it is the largest financial market in the world where they are buying and selling currencies freely. On the current situation, the Binary Options Trading market was launched in the seventies of the last century and that while the liberalization of exchange rates so that the participants in this market are now only determine the price of any currency against other currencies based on supply and demand levels. When it comes to freedom and to stay away from any external control is to achieve free competition, the Binary Options Trading is is the perfect place to achieve all these things. This is because the daily trading volume in the Binary Options of several trillion dollars, which means that the currency market in more than three times the size of the total size of the US stock market and bond together. Binary Options market is the exchange of cross-communication networks where buyers and sellers meet to conduct treatment using technological means communication market. Unlike other financial markets, the Binary Options Trading has no central exchange or a physical entity. Since this market is not expressed as a physical place, the exchange trades take place on an ongoing basis on the four and twenty hours a day saluting moving from time zone to another by navigating across the major financial centers in the world and that on a daily basis. Trillions of dollars of foreign currency exchange activities occur on a daily basis in Options trading. Since 1997 and until the end of 2000, the Binary Options daily trading volumes almost increased from five billion to $1.5 trillion, and perhaps more (according to some recent studies, the trading volumes touched the level of $1.7 trillion in today is superior to all other financial markets combined). 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Foreign currencies are continuously sold and purchased through local and global markets in more than investors or detract from the value of an investment based on currency movements. Binary Options market conditions may change at any moment in response to current events and this ranks as one of the more volatile Binary Options and the fragility of markets. Also, the conditions of the Binary Options Trading does not remain the same, but never changed in almost every second. Trading volumes in the foreign exchange market than all the combined transactions that occur in the stock markets and futures markets in both London and Tokyo. According to its size and scope, the Binary Options market times other markets sizes. Statistics indicate that the immediate and directed trades that occur in the interbank market is divided as follows. 51% in the form of an Instant Forex transactions, followed by 32% in the form of currency swap operations, Binary Assassin Software transactions explicit also represents 5% of daily turnover, while the “interbank” equal to the other about 8% and therefore, the interbank market accounts allocated of which about 96% transactions Options the foreign exchange market as the exchange of 4% in the other, divided between global futures exchanges. For Binary Assassin traders, the Binary Options Trading represent an alternative to trading in the stock market. While there are thousands of stocks to choose them, there are a number of key stocks that are traded in the Binary Options market (the US dollar and the Japanese yen and the British pound, Swiss franc and the euro currency is the most famous). 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