Alright CYKAS, Drill Sgt. Retarded TQQQ Burry is in the house. Listen up, I'm gonna train yo monkey asses to make some motherfucking money.

“Reeee can’t read, strike?” - random_wsb_autist

Bitch you better read if you want your Robinhood to look like this:
gainz, bitch

Why am I telling you this?
Because I like your dumb asses. Even dickbutts like cscqb4. And because I like seeing Wall St. fucking get rekt. Y’all did good until now, and Wall St. is salty af. Just google for “retail traders” news if you haven’t seen it, and you’ll see the salty tears of Wall Street assholes. And I like salty Wall St. assholes crying like bitches.
https://www.zerohedge.com/markets/retail-investors-are-crushing-hedge-funds-again

That said, some of you here are really motherfucking dense & the sheer influx of retardation has been driving away some of the more knowledgeable folks on this sub. In fact, in my last post, y'all somehow managed to downvote to shit the few guys that really understood the points I was making and tried to explain it to you poo-slinging apes. Stop that shit yo! A lot of you need to sit the fuck down, shut your fucking mouth and listen.
So I'm going to try and turn you rag-tag band of dimwits into a respectable army of peasants that can clap some motherfucking Wall Street cheeks. Then, I'm going to give you a mouthbreather-proof trade that I don't think even you knuckleheads can mess up (though I may be underestimating you).
If you keep PM-ing me about your stupid ass losses after this, I will find out where you live and personally, PERSONALLY, shit on your doorstep.
This is going to be a long ass post. Read the damned post. I don't care if you're dyslexic, use text-to-speech. Got ADHD? Pop your addys, rub one out, and focus! Are you 12? Make sure to go post in the paper trading contest thread first.

THE RULES:

Understand that most of this sub has the critical reading skills of a 6 year old and the attention span of a goldfish. As such, my posts are usually written with a level of detail aimed at the lowest common denominator. A lot of details on the thesis are omitted, but that doesn't mean that the contents in the post are all there is to it. If I didn't do that, every post'd have to be longer than this one, and 98% of you fucks wouldn't read it anyway. Fuck that.
Understand that my style of making plays is finding the >10+ baggers that are underpriced. As such, ALL THE GOD DAMN PLAYS I POST ARE HIGH-RISK / HIGH-REWARD. Only play what you can afford to risk. And stop PM-ing me the second the market goes the other way, god damn it! If you can't manage your own positions, I'm going to teach your ass the basics.
Do you have no idea what you're doing and have a question? Google it first. Then google it again. Then Bing it, for good measure. Might as well check PornHub too, you never know. THEN, if you still didn't find the answer, you ask.
This sub gives me Tourette's. If you got a problem with that, well fuck you.

This shit is targeted at the mouthbreathers, but maybe more knowledgeable folk’ll find some useful info, idk. How do you know if you’re in the mouthbreather category? If your answer to any of the following questions is yes, then you are:

Are you new to trading?
Are you unable to manage your own positions?
Did you score into the negatives on the SAT Critical Reading section?
Do you think Delta is just an airline?
Do you buy high & sell low?
Do you want to buy garbage like Hertz or American Airlines because it's cheap?
Did you buy USO at the bottom and are now proud of yourself for making $2?
Do you think stOnKs oNLy Go uP because Fed brrr?
Do you think I'm trying to sell you puts?
If you take a trade you see posted on this sub and are down, do you PM the guy posting it?
Do you generally PM people on this sub to ask them basic questions?
Is your mouth your primary breathing apparatus?

Well I have just the thing for you!

Table of Contents:
I. Maybe, just maybe, I know what I’m talking about
II. Post-mortem of the February - March 2020 Great Depression
III. Mouthbreather's bootcamp on managing a position – THE TECHNICALS
IV. Busting your retarded myths
V. LIQUIDITY NUKE INBOUND
VI. The mouthbreather-proof trade - The Akimbo
VII. Quick hints for non-mouthbreathers

Chapter I - Maybe, just maybe, I know what I’m talking about
I'm not here to rip you off. Every fucking time I post something, a bunch of dumbasses show up saying I'm selling you puts or whatever the fuck retarded thoughts come through their caveman brains.

"hurr durr OP retarded, OP sell puts" - random_wsb_autist

Sit down, Barney, I'm not here to scam you for your 3 cents on OTM puts. Do I always get it right? Of course not, dumbasses. Eurodollar play didn't work out (yet). Last TQQQ didn't work out (yet). That’s just how it goes. Papa Buffet got fucked on airlines. Plain retard Burry bought GME. What do you fucking expect?
Meanwhile, I keep giving y'all good motherfucking plays:

28/10/2019: "I'ma say this again, in case you haven't heard me the first time. BUY $JNK PUTS NOW!". Strike: "11/15, 1/17 and 6/19". "This thing can easily go below 50, so whatever floats your boat. Around $100 strike is a good entry point."
3/9/2020: "I mean it's a pretty obvious move, but $JNK puts."
3/19/2020, 12pm: "UVXY put FDs are free money." & “Buy $UVXY puts expiring tomorrow if we're still green at 3pm. Trust me.”
3/24/2020: “$UUP 3/27 puts at $27.5 or $27 should be 10-baggers once the bill passes. I'd expect it to go to around $26.”

And of course, the masterpiece that was the TQQQ put play.
Chapter II. Post-mortem of the February - March 2020 Great Depression
Do you really understand what happened? Let's go through it.
I got in puts on 2/19, right at the motherfucking top, TQQQ at $118. I told you on 2/24 TQQQ ($108) was going to shit, and to buy fucking puts, $90ps, $70ps, $50ps, all the way to 3/20 $30ps. You think I just pulled that out of my ass? You think I just keep getting lucky, punks? Do you have any idea how unlikely that is?
Well, let's take a look at what the fuckstick Kevin Cook from Zacks wrote on 3/5:
How Many Sigmas Was the Flash Correction Plunge?

"Did you know that last week's 14% plunge in the S&P 500 SPY was so rare, by statistical measures, that it shouldn't happen once but every 14,000 years?"
"By several measures, it was about a 5-sigma move, something that's not "supposed to" happen more than once in your lifetime -- or your prehistoric ancestors' lifetimes!
"According to general statistical principles, a 4-sigma event is to be expected about every 31,560 days, or about 1 trading day in 126 years. And a 5-sigma event is to be expected every 3,483,046 days, or about 1 day every 13,932 years."

On 3/5, TQQQ closed at $81. I just got lucky, right? You should buy after a 5-sigma move, right? That's what fuckstick says:

"Big sigma moves happen all the time in markets, more than any other field where we collect and analyze historical data, because markets are social beasts subject to "wild randomness" that is not found in the physical sciences.
This was the primary lesson of Nassim Taleb's 2007 book The Black Swan, written before the financial crisis that found Wall Street bankers completely ignorant of randomness and the risks of ruin."
I also took advantage of the extreme 5-sigma sell-off by grabbing a leveraged ETF on the Nasdaq 100, the ProShares UltraPro QQQ TQQQ. In my plan, while I might debate the merits of buying AAPL or MSFT for hours, I knew I could immediately buy them both with TQQQ and be rewarded very quickly after the 14% plunge."

Ahahaha, fuckstick bought TQQQ at $70, cuz that's what you do after a random 5-sigma move, right? How many of you dumbasses did the same thing? Don't lie, I see you buying 3/5 on this TQQQ chart:
https://preview.redd.it/9ks35zdla5151.png?width=915&format=png&auto=webp&s=2c90d08494c52a1b874575ee233624e61ac27620
Meanwhile, on 3/3, I answered the question "Where do you see this ending up at in the next couple weeks? I have 3/20s" with "under 30 imo".

Well good fucking job, because a week later on 3/11, TQQQ closed at $61, and it kept going.
Nomura: Market staring into the abyss

"The plunge in US equities yesterday (12 March) pushed weekly returns down to 7.7 standard deviations below the norm. In statistical science, the odds of a greater-than seven-sigma event of this kind are astronomical to the point of being comical (about one such event every 160 billion years).

Let's see what Stephen Mathai-Davis, CFA, CQF, WTF, BBQ, Founder and CEO of Q.ai - Investing Reimagined, a Forbes Company, and a major fucktard has to say at this point:

"Our AI models are telling us to buy SPY (the SPDR S&P500 ETF and a great proxy for US large-cap stocks) but since all models are based on past data, does it really make sense? "
"While it may or may not make sense to buy stocks, it definitely is a good time to sell “volatility.” And yes, you can do it in your brokerage account! Or, you can ask your personal finance advisor about it."
"So what is the takeaway? I don’t know if now is the right time to start buying stocks again but it sure looks like the probabilities are in your favor to say that we are not going to experience another 7 standard deviation move in U.S. Stocks. OTM (out-of-the-money) Put Spreads are a great way to get some bullish exposure to a rally in the SPY while also shorting such rich volatility levels."

Good job, fuckfaces. Y'all bought this one too, admit it. I see you buying on this chart:
https://preview.redd.it/s9344geza5151.png?width=915&format=png&auto=webp&s=ebaef4b1414d901e6dafe354206ba39eb03cb199
Well guess what, by 3/18, a week later, we did get another 5 standard deviation move. TQQQ bottomed on 3/18 at $32.73. Still think that was just luck, punk? You know how many sigmas that was? Over 12 god-damn sigmas. 12 standard deviations. I'd have a much better chance of guessing everyone's buttcoin private key, in a row, on the first try. That's how unlikely that is.
https://preview.redd.it/luz0s3kbb5151.png?width=587&format=png&auto=webp&s=7542973d56c42e13efd3502331ac6cc5aea42630

"Hurr durr you said it's going to 0, so you're retarded because it didn't go to 0" - random_wsb_autist

Yeah, fuckface, because the Fed bailed ‘em out. Remember the $150b “overnight repo” bazooka on 3/17? That’s what that was, a bailout. A bailout for shitty funds and market makers like Trump's handjob buddy Kenny Griffin from Citadel. Why do you think Jamie Dimon had a heart attack in early March? He saw all the dogshit that everyone put on his books.

https://preview.redd.it/8fqvt37ama151.png?width=3711&format=png&auto=webp&s=0b06ee5101685c5274c6641a62ee9eb1a2a3f3ee

Read:
https://dealbreaker.com/2020/01/griffin-no-show-at-white-house
https://www.cnbc.com/2020/03/11/bank-ceos-convene-in-washington-with-president-trump-on-coronavirus.html
https://www.proactiveinvestors.co.uk/companies/news/914736/market-makers--didn-t-show-up-for-work--macro-risk-ceo-says-914736.html
https://www.chicagobusiness.com/finance-banking/chicago-trading-firms-seek-more-capital
https://www.housingwire.com/articles/did-non-qm-just-disappear-from-the-market/
https://www.bloomberg.com/news/articles/2020-03-22/bruised-hedge-funds-ask-clients-for-fresh-cash-to-buy-the-dip
https://fin24.com/Markets/Bonds/rand-bonds-rally-after-reserve-bank-intervention-20200320

Yup, everyone got clapped on their stupidly leveraged derivatives books. It seems Citadel is “too big to fail”. On 3/18, the payout on 3/20 TQQQ puts alone if it went to 0 was $468m. And every single TQQQ put expiration would have had to be paid. Tens or hundreds of billions on TQQQ puts alone. I’d bet my ass Citadel was on the hook for a big chunk of those. And that’s just a drop in the bucket compared to all the other blown derivative trades out there.

https://preview.redd.it/9ww27p2qb5151.png?width=2485&format=png&auto=webp&s=78f24265f3ea08fdbb37a4325f15ad9b61b0c694
Y’all still did good, 3/20 closed at $35. That’s $161m/$468m payoff just there. I even called you the bottom on 3/17, when I saw that bailout:

"tinygiraffe21 1 point 2 months ago
Haha when? I’m loading up in 4/17 25 puts"
"dlkdev
Scratch that, helicopter money is here."
"AfgCric 1 point 2 months ago
What does that mean?"
"It means the Fed & Trump are printing trillions with no end in sight. If they go through with this, this was probably the bottom."

"hurr durr, it went lower on 3/18 so 3/17 wasn't the bottom" - random_wsb_autist

Idiot, I have no way of knowing that Billy boy Ackman was going to go on CNBC and cry like a little bitch to make everyone dump, so he can get out of his shorts. Just like I have no way of knowing when the Fed decides to do a bailout. But you react to that, when you see it.
Do you think "Oh no world's ending" and go sell everything? No, dumbass, you try to figure out what Billy's doing. And in this case it was pretty obvious, Billy saw the Fed train coming and wanted to close his shorts. So you give the dude a hand, quick short in and out, and position for Billy dumping his short bags.
Video of Billy & the Fed train

Here's what Billy boy says:

“But if they don’t, and the government takes the right steps, this hedge could be worth zero, and the stock market could go right back up to where it was. So we made the decision to exit.”

https://www.businessinsider.sg/bill-ackman-explains-coronavirus-trade-single-best-all-time-podcast-2020-5
Also, “the single best trade of all time.” my ass, it was only a 100-bagger. I gave y’all a 150-bagger.
So how could I catch that? Because it wasn't random, yo. And I'm here to teach your asses how to try to spot such potential moves. But first, the technical bootcamp.

Chapter III. Mouthbreather's bootcamp on managing a position – THE TECHNICALS

RULE 1. YOU NEVER BUY OPTIONS AT OPEN. You NEVER OVERPAY for an option. You never FOMO into buying too fast. You NEVER EVER NEVER pump the premium on a play.
I saw you fuckers buying over 4k TQQQ 5/22 $45 puts in the first minutes of trading. You pumped the premium to over $0.50 dudes. The play's never going to work if you do that, because you give the market maker free delta, and he's going to hedge that against you. Let me explain simply:

Let's say a put on ticker $X at strike $50 is worth $1, and a put at strike $51 is worth $2.
If you all fomo in at once into the same strike, the market maker algos will just pull the asks higher. If you overpay at $2 for the $50p, the market maker will just buy $51ps for $2 and sell you $50ps for 2$. Or he'll buy longer-dated $50ps and sell you shorter-dated $50ps. Max risk for him is now 0, max gain is $1. You just gave him free downside insurance, so of course he's going to start going long. And you just traded against yourself, congrats.

You need to get in with patience, especially if you see other autists here wanting to go in at the same time. Don't step on each other's toes. You put in an order, and you wait for it to fill for a couple of seconds. If it doesn't fill, AND the price of the option hasn't moved much recently, you can bump the bid $0.01. And you keep doing that a few times. Move your strikes, if needed. Only get a partial fill or don't get a fill at all? You cancel your bid. Don't fucking leave it hanging there, or you're going to put a floor on the price. Let the mm algos chill out and go again later.

RULE 2. WATCH THE TIME. Algos are especially active at x:00, x:02, x:08, x:12, x:30 and x:58. Try not to buy at those times.
RULE 3. YOU USE MULTIPLE BROKERS. Don't just roll with Robinhood, you're just gimping yourself. If you don't have another one, open up a tasty, IB, TD, Schwab, whatever. But for cheap faggy puts (or calls), Robinhood is the best. If you want to make a play for which the other side would think "That's free money!", Robinhood is the best. Because Citadel will snag that free money shit like no other. Seriously, if you don't have a RH account, open one. It's great for making meme plays.

RULE 4. YOU DON'T START A TRADE WITH BIG POSITIONS. Doesn't matter how big or small your bankroll is. If you go all-in, you're just gambling, and the odds are stacked against you. You need to have extra cash to manage your positions. Which leads to
RULE 5. MANAGING YOUR WINNERS: Your position going for you? Good job! Now POUND THAT SHIT! And again. Move your strikes to cheaper puts/calls, and pound again. And again. Snowball those gains.
RULE 6A. POUND THOSE $0.01 PUTS:
So you bought some puts and they’re going down? Well, the moment they reach $0.01, YOU POUND THOSE PUTS (assuming there’s enough time left on them, not shit expiring in 2h). $0.01 puts have amazing risk/return around the time they reach $0.01. This is not as valid for calls. Long explanation why, but the gist of it is this: you know how calls have unlimited upside while puts have limited upside? Well it’s the reverse of that.
RULE 6B. MANAGING YOUR LOSERS:
Your position going against you? Do you close the position, take your loss porn and post it on wsb? WRONG DUMBASS. You manage that by POUNDING THAT SHIT. Again and again. You don't manage losing positions by closing. That removes your gainz when the market turns around. You ever close a position, just to have it turn out it would have been a winner afterwards? Yeah, don't do that. You manage it by opening other positions. Got puts? Buy calls. Got calls? Buy puts. Turn positions into spreads. Buy spreads. Buy the VIX. Sell the VIX. They wanna pin for OPEX? Sell them options. Not enough bankroll to sell naked? Sell spreads. Make them fight you for your money, motherfuckers, don't just give it away for free. When you trade, YOU have the advantage of choosing when and where to engage. The market can only react. That's your edge, so USE IT! Like this:

Example 1:
Initial TQQQ 5/22 position = $5,000. Starts losing? You pound it.

https://preview.redd.it/gq938ty8e5151.png?width=944&format=png&auto=webp&s=734ab7ed517f0e6822bfaaed5765d1272de398d1
Total pounded in 5/22 TQQQ puts = $10,824. Unfortunately expired worthless (but also goes to show I'm not selling you puts, dickwads)
Then the autists show up:

"Hahaha you lost all your money nice job you fucking idiot why do you even live?" - cscqb4

Wrong fuckface. You see the max pain at SPX 2975 & OPEX pin coming? Sell them some calls or puts (or spreads).

https://preview.redd.it/7nv23fr41a151.jpg?width=750&format=pjpg&auto=webp&s=14a8879c975646ffbfe2942ca1982bfabfcf90df
Sold 9x5/20 SPX [email protected], bam +$6,390. Still wanna pin? Well have some 80x5/22 TQQQ $80cs, bam anotha +$14,700.

https://preview.redd.it/1iqtpmc71a151.jpg?width=750&format=pjpg&auto=webp&s=df9b954131b0877f4acc43038b4a5a4acf544237
+$21,090 - $10,824 = +$10,266 => Turned that shit into a +94.85% gain.

.cscqb4 rn

You have a downside position, but market going up or nowhere? You play that as well. At least make some money back, if not profit.

Example 2:

5/22, long weekend coming right? So you use your brain & try to predict what could happen over the 3-day weekend. Hmm, 3 day weekend, well you should expect either a shitty theta-burn or maybe the pajama traders will try to pooomp that shite on the low volume. Well make your play. I bet on the shitty theta burn, but could be the other, idk, so make a small play.

Sold some ES_F spreads (for those unaware, ES is a 50x multiplier, so 1 SPX = 2 ES = 10 SPY, approximately). -47x 2955/2960 bear call spreads for $2.5. Max gain is $2.5, max loss is 2960-2955 = $5. A double-or-nothing basically. That's $5,875 in premium, max loss = 2x premium = $11,750.
Well, today comes around and futures are pumping. Up to 3,014 now. Do you just roll over? You think I'm gonna sit and take it up the ass? Nah bros that's not how you trade, you fucking fight them. How?
I have:
47x 2960 calls
-47x 2955 calls

Pajama traders getting all up in my grill? Well then I buy back 1 of the 2955 calls. Did that shit yesterday when futures were a little over 2980, around 2982-ish. Paid $34.75, initially shorted at $16.95, so booked a -$892 loss, for now. But now what do I have?

46x 2955/2960 bear calls
1x 2960 long call

So the fuckers can pump it. In fact, the harder they pump it, the more I make. Each $2.5 move up in the futures covers the max loss for 1 spread. With SPX now at ~3015, that call is $55 ITM. Covers 24/46 contracts rn. If they wanna run it up, at 3070 it's break-even. Over that, it's profit. I'll sell them some bear call spreads over 3050 if they run it there too. They gonna dump it? well under 2960 it's profit time again. They wanna do a shitty pin at 3000 today? Well then I'll sell them some theta there.
Later edit: that was written yesterday. Got out with a loss of only $1.5k out of the max $5,875. Not bad.
And that, my dudes, is how you manage a position.

RULE 7 (ESPECIALLY FOR BEARS). YOU DON'T KEEP EXTRA CASH IN YOUR BROKER ACCOUNT. You don't do it with Robinhood, because it's a shitty dumpsterfire of a broker. But you don't do it with other brokers either. Pull that shit out. Preferably to a bank that doesn't play in the markets either, use a credit union or some shit. Why? Because you're giving the market free liquidity. Free margin loans. Squeeze that shit out, make them work for it. Your individual cash probably doesn't make a dent, but a million autists with an extra $1200 trumpbucks means $1.2b. That's starting to move the needle. You wanna make a play, use instant deposits. And that way you don't lose your shit when your crappy ass broker or bank gets its ass blown up on derivative trades. Even if it's FDIC or SIPC insured, it's gonna take time until you see that money again.

Chapter IV. BUSTING YOUR RETARDED MYTHS

MYTH 1 - STONKS ONLY GO UP

Do you think the market can go up forever? Do you think stOnKs oNLy Go uP because Fed brrr? Do you think SPX will be at 5000 by the end of the month? Do you think $1.5 trillion is a good entry point for stonks like AAPL or MSFT? Do you want to buy garbage like Hertz or American Airlines because it's cheap? Did you buy USO at the bottom and are now proud of yourself for making $2? Well, this section is for you!
Let's clear up the misconception that stonks only go up while Fed brrrs.

What's your target for the SPX top? Think 3500 by the end of the year? 3500 by September? 4000? 4500? 5000? Doesn't matter, you can plug in your own variables.

Let's say SPX only goes up, a moderate 0.5% each period as a compounded avg. (i.e. up a bit down a bit whatever, doesn't matter as long as at the end of your period, if you look back and do the math, you'll get that number). Let's call this variable BRRR = 0.005.

Can you do the basic math to calculate the value at the end of x periods? Or did you drop out in 5th grade? Doesn't matter if not, I'll teach you.

Let's say our period is one week. That is, SPX goes up on average 0.5% each week on Fed BRRR:
2950 * (1.005^x), where x is the number of periods (weeks in this case)

So, after 1 month, you have: 2950 * (1.005^4) = 3009
After 2 months: 2950 * (1.005^8) = 3070
End of the year? 2950 * (1.005^28) = 3392

Now clearly, we're already at 3015 on the futures, so we're moving way faster than that. More like at a speed of BRRR = 1%/wk

2950 * (1.01^4) = 3069
2950 * (1.01^8) = 3194
2950 * (1.01^28) = 3897

Better, but still slower than a lot of permabulls would expect. In fact, some legit fucks are seriously predicting SPX 4000-4500 by September. Like this dude, David Hunter, "Contrarian Macro Strategist w/40+ years on Wall Street". IDIOTIC.
https://twitter.com/DaveHcontrarian/status/1263066368414568448

That'd be 2950 * (BRRR^12) = 4000 => BRRR = 1.0257 and 2950 * (BRRR^12) = 4500 => BRRR = 1.0358, respectively.

Here's why that can't happen, no matter the amount of FED BRRR: Leverage. Compounded Leverage.

There's currently over $100b in leveraged etfs with a 2.5x avg. leverage. And that's just the ones I managed to tally, there's a lot of dogshit small ones on top of that. TQQQ alone is now at almost $6b in AUM (topped in Fed at a little over $7b).

Now, let's try to estimate what happens to TQQQ's AUM when BRRR = 1.0257. 3XBRRR = 1.0771. Take it at 3XBRRR = 1.07 to account for slippage in a medium-volatility environment and ignore the fact that the Nasdaq-100 would go up more than SPX anyway.

$6,000,000,000 * (1.07^4) = $7,864,776,060
$6,000,000,000 * (1.07^8) = $10,309,100,000
$6,000,000,000 * (1.07^12) = $13,513,100,000
$6,000,000,000 * (1.07^28) = $39,893,000,000.

What if BRRR = 1.0358? => 3XBRR = 1.1074. Take 3XBRRR = 1.10.
$6,000,000,000 * (1.1^4) = $8,784,600,000
$6,000,000,000 * (1.1^8) = $12,861,500,000
$6,000,000,000 * (1.1^12) = $18,830,600,000
$6,000,000,000 * (1.1^28) = $86,526,000,000

And this would have to get 3x leveraged every day. And this is just for TQQQ.

Let's do an estimation for all leveraged funds. $100b AUM, 2.5 avg. leverage factor, BRRR = 1.0257 => 2.5BRRR = 1.06425

$100b * (1.06^4) = $128.285b
$100b * (1.06^8) = $159.385b
$100b * (1.06^12) = $201.22b
$100b * (1.06^28) = $511.169b

That'd be $1.25 trillion sloshing around each day. And the market would have to lose each respective amount of cash into these leveraged funds. Think the market can do that? You can play around with your own variables. But understand that this is just a small part of the whole picture, many other factors go into this. It's a way to put a simple upper limit on an assumption, to check if it's reasonable.

In the long run, it doesn't matter if the Fed goes BRRR, if TQQQ takes in it's share of 3XBRRR. And the Fed can't go 3XBRRR, because then TQQQ would take in 9XBRRR. And on top of this, you have a whole pile of leveraged derivatives on top of these leveraged things. Watch (or rewatch) this: Selena Gomez & Richard H. Thaler Explaining Synthetic CDO through BLACKJACK

My general point, at the mouth-breather level, is that Fed BRRR cannot be infinite, because leverage.
And these leveraged ETFs are flawed instruments in the first place. It didn't matter when they started out. TQQQ and SQQQ started out at $8m each. For the banks providing the swaps, for the market providing the futures contracts, whatever counter-party to whatever instrument they would use, that was fine. Because it balanced out. When TQQQ made a million, SQQQ lost a million (minus a small spread, which was the bank's profit). Bank was happy, in the long run things would even out. Slippage and spreads and fees would make them money. But then something happened. Stonks only went up. And leveraged ETFs got bigger and more and more popular.
And so, TQQQ ended up being $6-7b, while SQQQ was at $1b. And the same goes for all the other ETFs. Long leveraged ETF AUM became disproportionate to short AUM. And it matters a whole fucking lot. Because if you think of the casino, TQQQ walks up every day and says "I'd like to put $18b on red", while SQQQ walks up and says "I'd only like to put $3b on black". And that, in turn, forces the banks providing the swaps to either eat shit with massive losses, or go out and hedge. Probably a mix of both. But it doesn't matter if the banks are hedged, someone else is on the other side of those hedges anyway. Someone's eating a loss. Can think of it as "The Market", in general, eating the loss. And there's only so much loss the market can eat before it craps itself.

If you were a time traveller, how much money do you think you could make by trading derivatives? Do you think you could make $20 trillion? You know the future prices after all... But no, you couldn't. There isn't enough money out there to pay you. So you'd move the markets by blowing them up. Call it the Time-travelling WSB Autist Paradox.

If you had a bucket with a hole in the bottom, even if you poured an infinite amount of water into it, it would never be full. Because there's a LIQUIDITY SINK, just like there is one in the markets.
And that, my mouth-breathing friends, is the reason why FED BRRR cannot be infinite. Or alternatively, "STONKS MUST GO BOTH UP AND DOWN".

MYTH 2 - YOU CAN'T TIME THE MARKET

On Jan 14, 2020, I predicted this: Assuming that corona doesn't become a problem, "AAPL: Jan 28 $328.3, Jan 31 $316.5, April 1 $365.7, May 1 $386, July 1 $429 December 31 $200."
Now take a look at the AAPL chart in January. After earnings AAPL peaked at $327.85. On 1/31, after the 1st hour of trading, when the big boys make moves, it was at $315.63. Closed 1/31 at $309.51. Ya think I pulled this one out of my ass too?
Yes you can time it. Flows, motherfucker, flows. Money flow moves everything. And these days, we have a whole lot of RETARDED FLOW. Can't even call it dumb flow, because it literally doesn't think. Stuff like:

ETF flows. If MSFT goes up and AAPL goes down, part of that flow is going to move from AAPL to MSFT. Even if MSFT flash-crashes up to $1000, the ETF will still "buy". Because it's passive.
Option settlement flows. Once options expire, money is going to flow from one side to another, and that my friends is accurately predictable from the data.
Index rebalancing flows
Buyback flows
401k passive flows
Carry trade flows
Tax day flows
Flows of people front-running the flows

And many many others. Spot the flow, and you get an edge. How could I predict where AAPL would be after earnings within 50 cents and then reverse down to $316 2 days later? FLOWS MOTHERFUCKER FLOWS. The market was so quiet in that period, that is was possible to precisely figure out where it ended up. Why the dump after? Well, AAPL earnings (The 8-K) come out on a Wednesday. The next morning, after market opens the 10-Q comes out. And that 10-Q contains a very important nugget of information: the latest number of outstanding shares. But AAPL buybacks are regular as fuck. You can predict the outstanding shares before the market gets the 10-Q. And that gives you EDGE. Which leads to

MYTH 3 - BUYBACKS DON'T MATTER

Are you one of those mouthbreathers that parrots the phrase "buybacks are just a tax-efficient way to return capital to shareholders"? Well sit the fuck down, I have news for you. First bit of news, you're dumb as shit. Second bit:

On 1/28, AAPL's market cap is closing_price x free_float_outstanding_shares. But that's not the REAL MARKET CAP. Because the number of outstanding shares is OLD AS FUCK. When the latest number comes out, the market cap changes instantly. And ETFs start moving, and hedges start being changed, and so on.

"But ETFs won't change the number of shares they hold, they will still hold the same % of AAPL in the index" - random_wsb_autist

Oh my fucking god you're dumb as fuck. FLOWS change. And the next day, when TQQQ comes by and puts its massive $18b dong on the table, the market will hedge that differently. And THAT CAN BE PREDICTED. That's why AAPL was exactly at $316 1 hour after the market opened on 1/31.

So, what can you use to spot moves? Let me show you:
Market topped on 2/19. Here’s SPY. I even marked interesting dates for you with vertical lines.

https://preview.redd.it/7agm171eh5151.png?width=3713&format=png&auto=webp&s=d94b90dcd634c8dc688925585bf0a02c3299f71b
Nobody could have seen it coming, right? WRONG AGAIN. Here:

https://preview.redd.it/i1kdp3cgh5151.png?width=3713&format=png&auto=webp&s=7a1e086e9217846547efd3b6c5249f4a7ebe6d9e
In fact, JPYUSD gave you two whole days to see it. Those are NOT normal JPYUSD moves. But hey maybe it’s just a fluke? Wrong again.

https://preview.redd.it/fsyhenckh5151.png?width=3693&format=png&auto=webp&s=03200e10b008257ae15d40b474c4cf4d8c23670f
Forex showed you that all over the place. Why? FLOWS MOTHERFUCKER FLOWS. When everything moves like that, it means the market needs CASH. It doesn’t matter why, but remember people pulling cash out of ATMs all over the world? Companies drawing massive revolvers? Just understand what this flow means.
The reversal:
https://preview.redd.it/4xe97l0oh5151.png?width=1336&format=png&auto=webp&s=07aaa93f6b1d8f542101e40e431edccbc109918f
https://preview.redd.it/v6i0pdmoh5151.png?width=1338&format=png&auto=webp&s=74d5589961db2f978d4d582e6d7c58a85f6305f9
But it wasn’t just forex. Gold showed it to you as well. Bonds showed it to you as well.
https://preview.redd.it/40j53u8th5151.png?width=3711&format=png&auto=webp&s=fe39ab51321d0f98149d33e33253e69f96c48e23
Even god damn buttcoin showed it to you.
https://preview.redd.it/43lvafhvh5151.png?width=3705&format=png&auto=webp&s=1ef53283cbc0fb97f71c1ba935c0bd747809636e
And they all did it for 2 days before the move hit equities.

Chapter V. LIQUIDITY NUKE INBOUND
You see all these bankruptcies that happened so far, and all the ones that are going to follow? Do you think that’s just dogshit companies and it won’t have major effects on anything outside them? WRONG.
Because there’s a lot of leveraged instruments on top of those equities. When the stock goes to 0, all those outstanding puts across all expirations get instantly paid.
Understand that Feb-March was a liquidity MOAB. But this will end with a liquidity nuke.
Here’s just HTZ for example: $239,763,550 in outstanding puts. Just on a single dogshit small-cap company (this thing was like $400m mkt. cap last week).
And that’s just the options on the equity. There’s also instruments on etfs that hold HTZ, on the bonds, on the ETFs that hold their bonds, swaps, warrants, whatever. It’s a massive pile of leverage.
Then there’s also the ripple effects. Were you holding a lot of HTZ in your brokerage margin account? Well guess what big boi, when that gaps to 0 you get a margin call, and then you become a liquidity drain. Holding long calls? 0. Bonds 0. DOG SHIT!
And the market instantly goes from holding $x in assets (HTZ equity / bonds / calls) to holding many multiples of x in LIABILITIES (puts gone wrong, margin loans, derivatives books, revolvers, all that crap). And it doesn’t matter if the Fed buys crap like HTZ bonds. You short them some. Because when it hits 0, it’s no longer about supply and demand. You get paid full price, straight from Jerome’s printer. Is the Fed going to buy every blown up derivative too? Because that's what they'd have to do.
Think of liquidity as a car. The faster it goes, the harder it becomes to go even faster. At some point, you can only go faster by driving off a cliff. THE SQUEEZE. But you stop instantly when you hit the ground eventually. And that’s what shit’s doing all over the place right now.
Rewatch: https://www.youtube.com/watch?v=3hG4X5iTK8M
And just like that fucker, “I’m standing in front of a burning house, and I’m offering you fire insurance on it.”

Don’t baghold!
Now is not the time to baghold junk. Take your cash. Not the time to buy cheap crap. You don’t buy Hertz. You don’t buy USO. You don’t buy airlines, or cruises, or GE, or motherfucking Disney. And if you have it, dump that shit.
And the other dogshit that’s at ATH, congrats you’re in the green. Now you take your profits and fucking dump that shit. I’m talking shit like garbage SaaS, app shit, AI shit, etc. Garbage like MDB, OKTA, SNAP, TWLO, ZM, CHGG etc.
And you dump those garbage ass leveraged ETFs. SQQQ, TQQQ, whatever, they’re all dogshit now.
The leverage MUST unwind. And once that’s done, some of you will no longer be among us if you don’t listen. A lot of leveraged ETFs will be gone. Even some non-leveraged ETFs will be gone. Some brokers will be gone, some market makers will be gone, hell maybe even some big bank has to go under. I can’t know which ones will go poof, but I can guarantee you that some will. Another reason to diversify your shit. There’s a reason papa Warrant Buffet dumped his bags, don’t think you’re smarter than him. He may be senile, but he’s still a snake.
And once the unwind is done, THEN you buy whatever cheap dogshit’s still standing.
Got it? Good.
You feel ready to play yet? Alright, so you catch a move. Or I post a move and you wanna play it. You put on a small position. When it’s going your way, YOU POUND DAT SHIT. Still going? Well RUSH B CYKA BLYAT AND PLANT THE GOD DAMN 3/20 $30p BOMB.

Chapter VI - The mouthbreather-proof play - THE AKIMBO
Still a dumbass that can’t make a play? Still want to go long? Well then, I got a dumbass-proof trade for you. I present to you THE AKIMBO:

STEP 1. You play this full blast. You need some real Russian hardbass to get you in the right mood for trading, cyka.
STEP 2. Split your play money in 3. Remember to keep extra bankroll for POUNDING THAT SHIT.
STEP 3. Use 1/3 of your cash to buy SQQQ 9/18 $5p, pay $0.05. Not more than $0.10.
STEP 4. Use 1/3 of your cash to buy TQQQ 9/18 $20p, pay around $0.45. Alternatively, if you’re feeling adventurous, 7/17 $35p’s for around $0.5.
STEP 5. Use 1/3 of your cash to buy VIX PUT SPREADS 9/15 $21/$20 spread for around $0.15, no more than $0.25. That is, you BUY the 21p and SELL the 20p. Only using Robinhood and don’t have the VIX? What did I just tell you? Well fine, use UVXY then. Just make sure you don’t overpay.

Chapter VII - Quick hints for non-mouthbreathers
Quick tips, cuz apparently I'm out of space, there's a 40k character limit on reddit posts. Who knew?

Proshares is dogshit. If you don't understand the point in my last post, do this: download https://accounts.profunds.com/etfdata/ByFund/SQQQ-historical_nav.csv and https://accounts.profunds.com/etfdata/ByFund/SQQQ-psdlyhld.csv. Easier to see than with TQQQ. AUM: 1,174,940,072. Add up the value of all the t-bills = 1,686,478,417.49 and "Net other assets / cash". It should equal the AUM, but you get 2,861,340,576. Why? Because that line should read: NET CASH = -$511,538,344.85
Major index rebalancing June 22.
Watch the violent forex moves.
6/25 will be red. Don't ask, play a spread, bag a 2x-er.
6/19 will be red.
Not settled yet, but a good chance 5/28 is red.
Front run the rebalance. Front-run the front-runners of the rebalance too. TQQQ puts.
Major retard flow in financials yesterday. Downward pressure now. GS 180 next weeks looks good.
Buy leaps puts on dogshit bond ETFs (check holdings for dogshit)
Buy TLT 1/15/2021 $85ps for cheap, sell over $1 when the Fed stops the ass rape, rinse and repeat
TQQQ flow looks good:

https://preview.redd.it/untvykuxea151.jpg?width=750&format=pjpg&auto=webp&s=a0a38c0acb088ebff689d043e48466eb76d38e2f

Good luck. Dr. Retard TQQQ Burry out.

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:

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
Raw Winrates:
- 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%
- Winrate: 46.4%
- 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%
- Winrate: 65.97%
- 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.

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.

Total Trades: 75
Raw Winrates:
- 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:

Winrate: 58.19%
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.

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.

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).

Pairs

AUD/CAD
AUD/CHF
AUD/JPY
AUD/NZD
AUD/USD
CAD/CHF
CAD/JPY
CHF/JPY
EUAUD
EUCAD
EUCHF
EUGBP
EUJPY
EUNZD
EUUSD
GBP/AUD
GBP/CAD
GBP/CHF
GBP/JPY
GBP/NZD
GBP/USD
NZD/CAD
NZD/CHF
NZD/JPY
NZD/USD
USD/CAD
USD/CHF
USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Date range: 6/11-7/3
Winrate: 58.19%
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!

86 Trades
- Date range: 7/9-7/30
- Winrate: 52.32%
- 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.

February 2030
The rollout of the GCC currency union has been planned for almost three decades, dating back to 2001 when the Supreme Council of the GCC set the goal of creating a common currency by 2010. It has been a saga of seemingly infinite delays, with deadlines coming and going, pushed back due to debates over what shape the union should take and how its governance should function.
Most recently, Saudi Arabia pushed the idea of reviving the single currency in 2020, but this initiative died when the country broke into civil war in 2023. It lingered in limbo until 2026 when the UAE convinced the GCC to move ahead with the implementation of the single currency, to be called the Khaleeji, by 2027.
When the Arab Oil Embargo against China started in 2027, everyone with half a brain thought that this would lead to another delay of the Khaleeji project. Surely the people in charge of implementing the new currency would not be stupid enough to try to roll out the new currency in the middle of a geopolitical economic crisis?
This did not turn out to be the case. For some reason (we’ll chalk it up to incompetency, but who the hell really knows?), the Gulf States decided to push ahead with the implementation of the Khaleeji later that year.
It went about as well as expected--which is to say, not at all. The Arab Gulf States immediately found themselves eating through foreign currency reserves trying to prop up the 1.00:3.00 Khaleeji:USD exchange rate (which was selected since it is around the current pegged exchange rate between several Gulf currencies and the USD-- the Bahraini Dinar trades at 1.00:2.65, the Kuwaiti Dinar trades at 1.00:3.27, and the Omani Rial trades at 1.00:2.60). Though the oil embargo was lifted at the end of 2028, confidence in the new currency is somewhat shaky, making the 1:3 exchange rate difficult to maintain. Still, not everything is bad for the new currency: with Bahrain mostly stabilized and set to join the currency union later this year, and Saudi Arabia on its way there, the Khaleeji should soon have two new adherents, boosting the power of the currency.
In order to ease some of these concerns and reverse FOREX outflows, the Central Bank in Dubai has elected to devalue the Khaleeji by about 6 percent, dropping its exchange rate to 1.00:2.80. This is expected to improve the health of the currency, which should translate into better economic performance. It’ll also have the unintended consequence of making exports from within the currency union relatively cheaper on the international market, boosting exports a little (except for oil and natural gas exports, which are traded in USD). Between these two policies, the Khaleeji should be stabilized, barring any sort of unfortunate shake ups in the global markets in the near future.
The Benefits of the Khaleeji
Perhaps the most immediately apparent benefit of the Khaleeji for the Arab Gulf States is how it has made trade between the GCC member states significantly easier. Previously, firms doing business in multiple member states had to account for the different currencies of each. Even though all of the currencies were pegged to the USD, this still posed a significant administrative burden which has now been wiped away, reducing the cost of doing business in the GCC and making it a more attractive market for international investment.
An unexpected, but nevertheless significant, benefit of the Khaleeji has been the expansion of tourism in the GCC. Now that there is no need to exchange currencies, tourists have found it increasingly viable to land in one member state, travel to another (using the vastly improved infrastructure between the states, including the Gulf Railway high speed passenger rail), and then leave from that state, spreading out their spending and increasing the attractiveness of the GCC as a whole as a tourist destination.
Qatar has emerged as a big winner of this. Previously, Qatar and the UAE were locked in a sort of arms race competing for tourism revenues--a war that Dubai, as the most popular tourist destination in the world, was clearly winning. With the implementation of the Khaleeji making it easier than ever to move from one country in the GCC to the other, Doha can now cast itself as an addition to Dubai rather than a direct competitor. Tourism agencies in Doha are already looking to recast the city as the “middle stop” of a larger tour route between Dubai, Abu Dhabi, Doha, and Manama, looking to attract tourists already heading to Dubai to Doha for at least part of their trip. Qatar is also emerging as a popular destination for foreign direct investment looking to capture part of the rapidly growing GCC market, since Qatar has been one of the more stable GCC member states over the past decade.
Currency Details

Denomination	Form	Front Face	Rear Face
1 Baiza	Coin	A Camel	Mangroves
5 Baiza	Coin	An Ibex	Sand Dunes
10 Baiza	Coin	Date Palm	"The Edge of the World" cliff
25 Baiza	Coin	A Crane	Al Rajajil Standing Stones
50 Baiza	Coin	A Cheetah	An Oasis
1 Khaleeji	Coin	A Lion	The Jordan River
2 Khaleeji	Coin	An eagle	Kaaba
1 Khaleeji	Bill	Burj Khalifa	Dubai Fountains
5 Khaleeji	Bill		The Pearl Monument
10 Khaleeji	Bill	Bahrain World Trade Center	Tree of Life
20 Khaleeji	Bill	Petra	The Dead Sea
50 Khaleeji	Bill	Liberation Tower	The Red Fort
100 Khaleeji	Bill	Dubai City Tower	Federal Palace, Abu Dhabi

https://discord.gg/hhcsXzT
Welcome to Trade Crypto Live. Here is where we start your journey on the road to trading like a professional. Its time to stop guessing on your trades and start learning how to tame this wild wild west that is the Crypto Markets. On our page you will find public discussion of coins, trades, and the occasional free live room feed from Scott. Scott spent years trading the hectic Forex market, so when he moved to crypto, he found that the lessons and tools all worked in the this market as well. Scott takes a straight forward, no bullshit approach. FUD and Shilling does not belong here.
You can gain access to all of our services through our website. We offer: www.tradecryptolive.net Bitcoin Bubble Lounge (Live Room) - A nightly live room via Zoom that shows you the market in action, what moves are happening, and why. Crypto Bootcamp - Designed to teach you the fundamentals of trading that Scott uses in his Live Room so you can stop guessing and start trading. Fundamental Fire Pit (Coming Soon) - Complete profiles of all of the top coins. Get access to every detail of a coin, from its inception to its scandals, along with up to date news affecting the crypto space. Scott's Crypto Commandments - This course is designed to pull back the curtain on the market and show you how to press your winners and cut your losses. This 10 course training will change how you trade forever. "Give a man a fish, he eats for a day. Teach him how to fish and he has crypto for dreams! THE MATRIX ROOM AND SIGNAL ROOM NOW AVAILABLE AND VIP PACKAGES WITH A SECRET FACEBOOK GROUP!

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)

I'm up almost 20% in one week, without ever risking more than 5-6% of my account balance on any single trade. I'm sure this is unsustainable, but is it possible I could average 5%/week over time?
Background: I have spent much of the last decade playing poker professionally, so I am way more experienced with short-term, high pressure, real-time investment decisions than the average n00b forex trader. I read a book on forex and opened a practice account, which I traded successfully for a month before going live.
The strategy i developed is pretty simple:
-I started with $500 and only trade 10k lots. My plan is to move up to 20k lots when (if?) I hit $1k, 30k lots at $1500 etc.
-I only trade the EUUSD.
-I hold positions for anywhere from a few minutes to a few hours.
-When euusd is moving back and forth within a fairly narrow trading range (10-15 pips), I wait for it to approach the top or bottom of the range and then jump in to catch the rebound.
-If I am right, I cash out quickly and take my 3-5 pips and then wait for the next set-up.
-If I am wrong and find myself sitting between 5 and 10 pips in the negative, I consult longer timeframe charts to decide whether to kill the trade and cut my losses, or risk another 10-15 pips if I think I just entered too soon and will get it back on the rebound.
-If I do choose to hold on once I'm down 10 pips, I cash out as soon as a spike in the right direction gets me even on that trade or just slightly ahead. Sometimes I'll cash out a few pips down if it looks like my rebound is petering out and down a few pips is as close Im gonna get for that trade.
-If I hold on and it keeps moving against me, I cut my losses at 20-25 pips. At that point the premise of my set-up (that we're range-bound) is no longer valid.
-I steadfastly resist the temptation to add a second 10k to a losing position in an attempt to dollar cost average my way back out of the hole (this was the move that got me in trouble my first week of practice trading)
-I close out any short-term positions as the hour when Tokyo, New York, or London begins trading approaches, since this often leads to bigger swings that I cannot predict without better fundmanetals.
-When the market is not moving in a predictable range, I sit out and wait for it to either settle (at which point I start short-term scalping again), or make a big move in one direction.
-When it swings big (30 pips+ in less than an hour, 80 pips+ over a few hours) I wait for the breakout to stall, then jump in to try and catch the rebound. I'll set a limit at around 50% retracement(basically a fibonacci target with a substantial margin of error). I'll set my stop loss at around 30 pips, generally aiming about 5 pips beyond where the charts show the next big resistance level to be located. I'm willing to risk a few extra pips to decrease the chances that I will get stopped out on a spike that tests just at or just beyond the likely resistance point before failing.
I can easily spot a big potential flaw in my approach: my losses are 2-4x the size of my wins, forcing me to be right a big % of the time to stay profitable. Just 2-3 blown trades in a row will eat all the profit of a bunch of wins. That said, I've had 51 winners averaging 4.5 pips against 11 losers averaging 11.4 pips, since I started trading real money. These figures are only slightly better than my averages over 250 practice trades.
I strongly suspect that I am running over variance, and I can easily compute that if I flip only one trade each day from winner to loser, I finish the week up 25 pips instead of 100. But even that average would make me rich in a couple years. Frankly, picking off five pips a day seems way easier than beating poker games.
What am I missing??
TL;DR: Worried I've just had beginner's luck and I am about to get stomped

example.AAA
example.AARP
example.ABARTH
example.ABB
example.ABBOTT
example.ABBVIE
example.ABC
example.ABLE
example.ABOGADO
example.ABUDHABI
example.AC
example.ACADEMY
example.ACCENTURE
example.ACCOUNTANT
example.ACCOUNTANTS
example.ACO
example.ACTIVE
example.ACTOR
example.AD
example.ADAC
example.ADS
example.ADULT
example.AE
example.AEG
example.AERO
example.AETNA
example.AF
example.AFAMILYCOMPANY
example.AFL
example.AG
example.AGAKHAN
example.AGENCY
example.AI
example.AIG
example.AIGO
example.AIRBUS
example.AIRFORCE
example.AIRTEL
example.AKDN
example.AL
example.ALFAROMEO
example.ALIBABA
example.ALIPAY
example.ALLFINANZ
example.ALLSTATE
example.ALLY
example.ALSACE
example.ALSTOM
example.AM
example.AMERICANEXPRESS
example.AMERICANFAMILY
example.AMEX
example.AMFAM
example.AMICA
example.AMSTERDAM
example.ANALYTICS
example.ANDROID
example.ANQUAN
example.ANZ
example.AO
example.APARTMENTS
example.APP
example.APPLE
example.AQ
example.AQUARELLE
example.AR
example.ARAMCO
example.ARCHI
example.ARMY
example.ARPA
example.ART
example.ARTE
example.AS
example.ASDA
example.ASIA
example.ASSOCIATES
example.AT
example.ATHLETA
example.ATTORNEY
example.AU
example.AUCTION
example.AUDI
example.AUDIBLE
example.AUDIO
example.AUSPOST
example.AUTHOR
example.AUTO
example.AUTOS
example.AVIANCA
example.AW
example.AWS
example.AX
example.AXA
example.AZ
example.AZURE
example.BA
example.BABY
example.BAIDU
example.BANAMEX
example.BANANAREPUBLIC
example.BAND
example.BANK
example.BAR
example.BARCELONA
example.BARCLAYCARD
example.BARCLAYS
example.BAREFOOT
example.BARGAINS
example.BAUHAUS
example.BAYERN
example.BB
example.BBC
example.BBT
example.BBVA
example.BCG
example.BCN
example.BD
example.BE
example.BEATS
example.BEAUTY
example.BEER
example.BENTLEY
example.BERLIN
example.BEST
example.BESTBUY
example.BET
example.BF
example.BG
example.BH
example.BHARTI
example.BI
example.BIBLE
example.BID
example.BIKE
example.BING
example.BINGO
example.BIO
example.BIZ
example.BJ
example.BLACK
example.BLACKFRIDAY
example.BLANCO
example.BLOCKBUSTER
example.BLOG
example.BLOOMBERG
example.BLUE
example.BM
example.BMS
example.BMW
example.BN
example.BNL
example.BNPPARIBAS
example.BO
example.BOATS
example.BOEHRINGER
example.BOFA
example.BOM
example.BOND
example.BOO
example.BOOK
example.BOOKING
example.BOOTS
example.BOSCH
example.BOSTIK
example.BOT
example.BOUTIQUE
example.BR
example.BRADESCO
example.BRIDGESTONE
example.BROADWAY
example.BROKER
example.BROTHER
example.BRUSSELS
example.BS
example.BT
example.BUDAPEST
example.BUGATTI
example.BUILD
example.BUILDERS
example.BUSINESS
example.BUY
example.BUZZ
example.BV
example.BW
example.BY
example.BZ
example.BZH
example.CA
example.CAB
example.CAFE
example.CAL
example.CALL
example.CALVINKLEIN
example.CAM
example.CAMERA
example.CAMP
example.CANCERRESEARCH
example.CANON
example.CAPETOWN
example.CAPITAL
example.CAPITALONE
example.CAR
example.CARAVAN
example.CARDS
example.CARE
example.CAREER
example.CAREERS
example.CARS
example.CARTIER
example.CASA
example.CASH
example.CASINO
example.CAT
example.CATERING
example.CBA
example.CBN
example.CBRE
example.CBS
example.CC
example.CD
example.CEB
example.CENTER
example.CEO
example.CERN
example.CF
example.CFA
example.CFD
example.CG
example.CH
example.CHANEL
example.CHANNEL
example.CHASE
example.CHAT
example.CHEAP
example.CHINTAI
example.CHLOE
example.CHRISTMAS
example.CHROME
example.CHRYSLER
example.CHURCH
example.CI
example.CIPRIANI
example.CIRCLE
example.CISCO
example.CITADEL
example.CITI
example.CITIC
example.CITY
example.CITYEATS
example.CK
example.CL
example.CLAIMS
example.CLEANING
example.CLICK
example.CLINIC
example.CLINIQUE
example.CLOTHING
example.CLOUD
example.CLUB
example.CLUBMED
example.CM
example.CN
example.CO
example.COACH
example.CODES
example.COFFEE
example.COLLEGE
example.COLOGNE
example.COM
example.COMCAST
example.COMMBANK
example.COMMUNITY
example.COMPANY
example.COMPARE
example.COMPUTER
example.COMSEC
example.CONDOS
example.CONSTRUCTION
example.CONSULTING
example.CONTACT
example.CONTRACTORS
example.COOKING
example.COOKINGCHANNEL
example.COOL
example.COOP
example.CORSICA
example.COUNTRY
example.COUPON
example.COUPONS
example.COURSES
example.CR
example.CREDIT
example.CREDITCARD
example.CREDITUNION
example.CRICKET
example.CROWN
example.CRS
example.CRUISES
example.CSC
example.CU
example.CUISINELLA
example.CV
example.CW
example.CX
example.CY
example.CYMRU
example.CYOU
example.CZ
example.DABUR
example.DAD
example.DANCE
example.DATE
example.DATING
example.DATSUN
example.DAY
example.DCLK
example.DDS
example.DE
example.DEAL
example.DEALER
example.DEALS
example.DEGREE
example.DELIVERY
example.DELL
example.DELOITTE
example.DELTA
example.DEMOCRAT
example.DENTAL
example.DENTIST
example.DESI
example.DESIGN
example.DEV
example.DHL
example.DIAMONDS
example.DIET
example.DIGITAL
example.DIRECT
example.DIRECTORY
example.DISCOUNT
example.DISCOVER
example.DISH
example.DIY
example.DJ
example.DK
example.DM
example.DNP
example.DO
example.DOCS
example.DOCTOR
example.DODGE
example.DOG
example.DOHA
example.DOMAINS
example.DOT
example.DOWNLOAD
example.DRIVE
example.DTV
example.DUBAI
example.DUCK
example.DUNLOP
example.DUNS
example.DUPONT
example.DURBAN
example.DVAG
example.DZ
example.EARTH
example.EAT
example.EC
example.ECO
example.EDEKA
example.EDU
example.EDUCATION
example.EE
example.EG
example.EMAIL
example.EMERCK
example.ENERGY
example.ENGINEER
example.ENGINEERING
example.ENTERPRISES
example.EPOST
example.EPSON
example.EQUIPMENT
example.ER
example.ERICSSON
example.ERNI
example.ES
example.ESQ
example.ESTATE
example.ESURANCE
example.ET
example.EU
example.EUROVISION
example.EUS
example.EVENTS
example.EVERBANK
example.EXCHANGE
example.EXPERT
example.EXPOSED
example.EXPRESS
example.EXTRASPACE
example.FAGE
example.FAIL
example.FAIRWINDS
example.FAITH
example.FAMILY
example.FAN
example.FANS
example.FARM
example.FARMERS
example.FASHION
example.FAST
example.FEDEX
example.FEEDBACK
example.FERRARI
example.FERRERO
example.FI
example.FIAT
example.FIDELITY
example.FIDO
example.FILM
example.FINAL
example.FINANCE
example.FINANCIAL
example.FIRE
example.FIRESTONE
example.FIRMDALE
example.FISH
example.FISHING
example.FIT
example.FITNESS
example.FJ
example.FK
example.FLICKR
example.FLIGHTS
example.FLIR
example.FLORIST
example.FLOWERS
example.FLY
example.FM
example.FO
example.FOO
example.FOODNETWORK
example.FOOTBALL
example.FORD
example.FOREX
example.FORSALE
example.FORUM
example.FOUNDATION
example.FOX
example.FR
example.FRESENIUS
example.FRL
example.FROGANS
example.FRONTDOOR
example.FRONTIER
example.FTR
example.FUJITSU
example.FUJIXEROX
example.FUND
example.FURNITURE
example.FUTBOL
example.FYI
example.GA
example.GAL
example.GALLERY
example.GALLO
example.GALLUP
example.GAME
example.GAMES
example.GAP
example.GARDEN
example.GB
example.GBIZ
example.GD
example.GDN
example.GE
example.GEA
example.GENT
example.GENTING
example.GEORGE
example.GF
example.GG
example.GGEE
example.GH
example.GI
example.GIFT
example.GIFTS
example.GIVES
example.GIVING
example.GL
example.GLADE
example.GLASS
example.GLE
example.GLOBAL
example.GLOBO
example.GM
example.GMAIL
example.GMBH
example.GMO
example.GMX
example.GN
example.GODADDY
example.GOLD
example.GOLDPOINT
example.GOLF
example.GOO
example.GOODHANDS
example.GOODYEAR
example.GOOG
example.GOOGLE
example.GOP
example.GOT
example.GOV
example.GP
example.GQ
example.GR
example.GRAINGER
example.GRAPHICS
example.GRATIS
example.GREEN
example.GRIPE
example.GROUP
example.GS
example.GT
example.GU
example.GUARDIAN
example.GUCCI
example.GUGE
example.GUIDE
example.GUITARS
example.GURU
example.GW
example.GY
example.HAMBURG
example.HANGOUT
example.HAUS
example.HBO
example.HDFC
example.HDFCBANK
example.HEALTH
example.HEALTHCARE
example.HELP
example.HELSINKI
example.HERE
example.HERMES
example.HGTV
example.HIPHOP
example.HISAMITSU
example.HITACHI
example.HIV
example.HK
example.HKT
example.HM
example.HN
example.HOCKEY
example.HOLDINGS
example.HOLIDAY
example.HOMEDEPOT
example.HOMEGOODS
example.HOMES
example.HOMESENSE
example.HONDA
example.HONEYWELL
example.HORSE
example.HOST
example.HOSTING
example.HOT
example.HOTELES
example.HOTMAIL
example.HOUSE
example.HOW
example.HR
example.HSBC
example.HT
example.HTC
example.HU
example.HUGHES
example.HYATT
example.HYUNDAI
example.IBM
example.ICBC
example.ICE
example.ICU
example.ID
example.IE
example.IEEE
example.IFM
example.IINET
example.IKANO
example.IL
example.IM
example.IMAMAT
example.IMDB
example.IMMO
example.IMMOBILIEN
example.IN
example.INDUSTRIES
example.INFINITI
example.INFO
example.ING
example.INK
example.INSTITUTE
example.INSURANCE
example.INSURE
example.INT
example.INTEL
example.INTERNATIONAL
example.INTUIT
example.INVESTMENTS
example.IO
example.IPIRANGA
example.IQ
example.IR
example.IRISH
example.IS
example.ISELECT
example.ISMAILI
example.IST
example.ISTANBUL
example.IT
example.ITAU
example.ITV
example.IWC
example.JAGUAR
example.JAVA
example.JCB
example.JCP
example.JE
example.JEEP
example.JETZT
example.JEWELRY
example.JLC
example.JLL
example.JM
example.JMP
example.JNJ
example.JO
example.JOBS
example.JOBURG
example.JOT
example.JOY
example.JP
example.JPMORGAN
example.JPRS
example.JUEGOS
example.JUNIPER
example.KAUFEN
example.KDDI
example.KE
example.KERRYHOTELS
example.KERRYLOGISTICS
example.KERRYPROPERTIES
example.KFH
example.KG
example.KH
example.KI
example.KIA
example.KIM
example.KINDER
example.KINDLE
example.KITCHEN
example.KIWI
example.KM
example.KN
example.KOELN
example.KOMATSU
example.KOSHER
example.KP
example.KPMG
example.KPN
example.KR
example.KRD
example.KRED
example.KUOKGROUP
example.KW
example.KY
example.KYOTO
example.KZ
example.LA
example.LACAIXA
example.LADBROKES
example.LAMBORGHINI
example.LAMER
example.LANCASTER
example.LANCIA
example.LANCOME
example.LAND
example.LANDROVER
example.LANXESS
example.LASALLE
example.LAT
example.LATINO
example.LATROBE
example.LAW
example.LAWYER
example.LB
example.LC
example.LDS
example.LEASE
example.LECLERC
example.LEFRAK
example.LEGAL
example.LEGO
example.LEXUS
example.LGBT
example.LI
example.LIAISON
example.LIDL
example.LIFE
example.LIFEINSURANCE
example.LIFESTYLE
example.LIGHTING
example.LIKE
example.LILLY
example.LIMITED
example.LIMO
example.LINCOLN
example.LINDE
example.LINK
example.LIPSY
example.LIVE
example.LIVING
example.LIXIL
example.LK
example.LOAN
example.LOANS
example.LOCKER
example.LOCUS
example.LOFT
example.LOL
example.LONDON
example.LOTTE
example.LOTTO
example.LOVE
example.LPL
example.LPLFINANCIAL
example.LR
example.LS
example.LT
example.LTD
example.LTDA
example.LU
example.LUNDBECK
example.LUPIN
example.LUXE
example.LUXURY
example.LV
example.LY
example.MA
example.MACYS
example.MADRID
example.MAIF
example.MAISON
example.MAKEUP
example.MAN
example.MANAGEMENT
example.MANGO
example.MARKET
example.MARKETING
example.MARKETS
example.MARRIOTT
example.MARSHALLS
example.MASERATI
example.MATTEL
example.MBA
example.MC
example.MCD
example.MCDONALDS
example.MCKINSEY
example.MD
example.ME
example.MED
example.MEDIA
example.MEET
example.MELBOURNE
example.MEME
example.MEMORIAL
example.MEN
example.MENU
example.MEO
example.METLIFE
example.MG
example.MH
example.MIAMI
example.MICROSOFT
example.MIL
example.MINI
example.MINT
example.MIT
example.MITSUBISHI
example.MK
example.ML
example.MLB
example.MLS
example.MM
example.MMA
example.MN
example.MO
example.MOBI
example.MOBILY
example.MODA
example.MOE
example.MOI
example.MOM
example.MONASH
example.MONEY
example.MONSTER
example.MONTBLANC
example.MOPAR
example.MORMON
example.MORTGAGE
example.MOSCOW
example.MOTORCYCLES
example.MOV
example.MOVIE
example.MOVISTAR
example.MP
example.MQ
example.MR
example.MS
example.MSD
example.MT
example.MTN
example.MTPC
example.MTR
example.MU
example.MUSEUM
example.MUTUAL
example.MUTUELLE
example.MV
example.MW
example.MX
example.MY
example.MZ
example.NA
example.NAB
example.NADEX
example.NAGOYA
example.NAME
example.NATIONWIDE
example.NATURA
example.NAVY
example.NBA
example.NC
example.NE
example.NEC
example.NET
example.NETBANK
example.NETFLIX
example.NETWORK
example.NEUSTAR
example.NEW
example.NEWS
example.NEXT
example.NEXTDIRECT
example.NEXUS
example.NF
example.NFL
example.NG
example.NGO
example.NHK
example.NI
example.NICO
example.NIKE
example.NIKON
example.NINJA
example.NISSAN
example.NISSAY
example.NL
example.NO
example.NOKIA
example.NORTHWESTERNMUTUAL
example.NORTON
example.NOW
example.NOWRUZ
example.NOWTV
example.NP
example.NR
example.NRA
example.NRW
example.NTT
example.NU
example.NYC
example.NZ
example.OBI
example.OFF
example.OFFICE
example.OKINAWA
example.OLAYAN
example.OLAYANGROUP
example.OLDNAVY
example.OLLO
example.OM
example.OMEGA
example.ONE
example.ONG
example.ONL
example.ONLINE
example.ONYOURSIDE
example.OOO
example.OPEN
example.ORACLE
example.ORANGE
example.ORG
example.ORGANIC
example.ORIENTEXPRESS
example.ORIGINS
example.OSAKA
example.OTSUKA
example.OTT
example.OVH
example.PA
example.PAGE
example.PAMPEREDCHEF
example.PANASONIC
example.PANERAI
example.PARIS
example.PARS
example.PARTNERS
example.PARTS
example.PARTY
example.PASSAGENS
example.PAY
example.PCCW
example.PE
example.PET
example.PF
example.PFIZER
example.PG
example.PH
example.PHARMACY
example.PHILIPS
example.PHOTO
example.PHOTOGRAPHY
example.PHOTOS
example.PHYSIO
example.PIAGET
example.PICS
example.PICTET
example.PICTURES
example.PID
example.PIN
example.PING
example.PINK
example.PIONEER
example.PIZZA
example.PK
example.PL
example.PLACE
example.PLAY
example.PLAYSTATION
example.PLUMBING
example.PLUS
example.PM
example.PN
example.PNC
example.POHL
example.POKER
example.POLITIE
example.PORN
example.POST
example.PR
example.PRAMERICA
example.PRAXI
example.PRESS
example.PRIME
example.PRO
example.PROD
example.PRODUCTIONS
example.PROF
example.PROGRESSIVE
example.PROMO
example.PROPERTIES
example.PROPERTY
example.PROTECTION
example.PRU
example.PRUDENTIAL
example.PS
example.PT
example.PUB
example.PW
example.PWC
example.PY
example.QA
example.QPON
example.QUEBEC
example.QUEST
example.QVC
example.RACING
example.RAID
example.RE
example.READ
example.REALESTATE
example.REALTOR
example.REALTY
example.RECIPES
example.RED
example.REDSTONE
example.REDUMBRELLA
example.REHAB
example.REISE
example.REISEN
example.REIT
example.REN
example.RENT
example.RENTALS
example.REPAIR
example.REPORT
example.REPUBLICAN
example.REST
example.RESTAURANT
example.REVIEW
example.REVIEWS
example.REXROTH
example.RICH
example.RICHARDLI
example.RICOH
example.RIGHTATHOME
example.RIO
example.RIP
example.RO
example.ROCHER
example.ROCKS
example.RODEO
example.ROGERS
example.ROOM
example.RS
example.RSVP
example.RU
example.RUHR
example.RUN
example.RW
example.RWE
example.RYUKYU
example.SA
example.SAARLAND
example.SAFE
example.SAFETY
example.SAKURA
example.SALE
example.SALON
example.SAMSCLUB
example.SAMSUNG
example.SANDVIK
example.SANDVIKCOROMANT
example.SANOFI
example.SAP
example.SAPO
example.SARL
example.SAS
example.SAVE
example.SAXO
example.SB
example.SBI
example.SBS
example.SC
example.SCA
example.SCB
example.SCHAEFFLER
example.SCHMIDT
example.SCHOLARSHIPS
example.SCHOOL
example.SCHULE
example.SCHWARZ
example.SCIENCE
example.SCJOHNSON
example.SCOR
example.SCOT
example.SD
example.SE
example.SEAT
example.SECURE
example.SECURITY
example.SEEK
example.SELECT
example.SENER
example.SERVICES
example.SES
example.SEVEN
example.SEW
example.SEX
example.SEXY
example.SFR
example.SG
example.SH
example.SHANGRILA
example.SHARP
example.SHAW
example.SHELL
example.SHIA
example.SHIKSHA
example.SHOES
example.SHOP
example.SHOPPING
example.SHOUJI
example.SHOW
example.SHOWTIME
example.SHRIRAM
example.SI
example.SILK
example.SINA
example.SINGLES
example.SITE
example.SJ
example.SK
example.SKI
example.SKIN
example.SKY
example.SKYPE
example.SL
example.SLING
example.SM
example.SMART
example.SMILE
example.SN
example.SNCF
example.SO
example.SOCCER
example.SOCIAL
example.SOFTBANK
example.SOFTWARE
example.SOHU
example.SOLAR
example.SOLUTIONS
example.SONG
example.SONY
example.SOY
example.SPACE
example.SPIEGEL
example.SPOT
example.SPREADBETTING
example.SR
example.SRL
example.SRT
example.ST
example.STADA
example.STAPLES
example.STAR
example.STARHUB
example.STATEBANK
example.STATEFARM
example.STATOIL
example.STC
example.STCGROUP
example.STOCKHOLM
example.STORAGE
example.STORE
example.STREAM
example.STUDIO
example.STUDY
example.STYLE
example.SU
example.SUCKS
example.SUPPLIES
example.SUPPLY
example.SUPPORT
example.SURF
example.SURGERY
example.SUZUKI
example.SV
example.SWATCH
example.SWIFTCOVER
example.SWISS
example.SX
example.SY
example.SYDNEY
example.SYMANTEC
example.SYSTEMS
example.SZ
example.TAB
example.TAIPEI
example.TALK
example.TAOBAO
example.TARGET
example.TATAMOTORS
example.TATAR
example.TATTOO
example.TAX
example.TAXI
example.TC
example.TCI
example.TD
example.TDK
example.TEAM
example.TECH
example.TECHNOLOGY
example.TEL
example.TELECITY
example.TELEFONICA
example.TEMASEK
example.TENNIS
example.TEVA
example.TF
example.TG
example.TH
example.THD
example.THEATER
example.THEATRE
example.TIAA
example.TICKETS
example.TIENDA
example.TIFFANY
example.TIPS
example.TIRES
example.TIROL
example.TJ
example.TJMAXX
example.TJX
example.TK
example.TKMAXX
example.TL
example.TM
example.TMALL
example.TN
example.TO
example.TODAY
example.TOKYO
example.TOOLS
example.TOP
example.TORAY
example.TOSHIBA
example.TOTAL
example.TOURS
example.TOWN
example.TOYOTA
example.TOYS
example.TR
example.TRADE
example.TRADING
example.TRAINING
example.TRAVEL
example.TRAVELCHANNEL
example.TRAVELERS
example.TRAVELERSINSURANCE
example.TRUST
example.TRV
example.TT
example.TUBE
example.TUI
example.TUNES
example.TUSHU
example.TV
example.TVS
example.TW
example.TZ
example.UA
example.UBANK
example.UBS
example.UCONNECT
example.UG
example.UK
example.UNICOM
example.UNIVERSITY
example.UNO
example.UOL
example.UPS
example.US
example.UY
example.UZ
example.VA
example.VACATIONS
example.VANA
example.VANGUARD
example.VC
example.VE
example.VEGAS
example.VENTURES
example.VERISIGN
example.VERSICHERUNG
example.VET
example.VG
example.VI
example.VIAJES
example.VIDEO
example.VIG
example.VIKING
example.VILLAS
example.VIN
example.VIP
example.VIRGIN
example.VISA
example.VISION
example.VISTA
example.VISTAPRINT
example.VIVA
example.VIVO
example.VLAANDEREN
example.VN
example.VODKA
example.VOLKSWAGEN
example.VOTE
example.VOTING
example.VOTO
example.VOYAGE
example.VU
example.VUELOS
example.WALES
example.WALMART
example.WALTER
example.WANG
example.WANGGOU
example.WARMAN
example.WATCH
example.WATCHES
example.WEATHER
example.WEATHERCHANNEL
example.WEBCAM
example.WEBER
example.WEBSITE
example.WED
example.WEDDING
example.WEIBO
example.WEIR
example.WF
example.WHOSWHO
example.WIEN
example.WIKI
example.WILLIAMHILL
example.WIN
example.WINDOWS
example.WINE
example.WINNERS
example.WME
example.WOLTERSKLUWER
example.WOODSIDE
example.WORK
example.WORKS
example.WORLD
example.WOW
example.WS
example.WTC
example.WTF
example.XBOX
example.XEROX
example.XFINITY
example.XIHUAN
example.XIN
example.XN--11B4C3D
example.XN--1CK2E1B
example.XN--1QQW23A
example.XN--30RR7Y
example.XN--3BST00M
example.XN--3DS443G
example.XN--3E0B707E
example.XN--3OQ18VL8PN36A
example.XN--3PXU8K
example.XN--42C2D9A
example.XN--45BRJ9C
example.XN--45Q11C
example.XN--4GBRIM
example.XN--55QW42G
example.XN--55QX5D
example.XN--5SU34J936BGSG
example.XN--5TZM5G
example.XN--6FRZ82G
example.XN--6QQ986B3XL
example.XN--80ADXHKS
example.XN--80AO21A
example.XN--80ASEHDB
example.XN--80ASWG
example.XN--8Y0A063A
example.XN--90A3AC
example.XN--90AE
example.XN--90AIS
example.XN--9DBQ2A
example.XN--9ET52U
example.XN--9KRT00A
example.XN--B4W605FERD
example.XN--BCK1B9A5DRE4C
example.XN--C1AVG
example.XN--C2BR7G
example.XN--CCK2B3B
example.XN--CG4BKI
example.XN--CLCHC0EA0B2G2A9GCD
example.XN--CZR694B
example.XN--CZRS0T
example.XN--CZRU2D
example.XN--D1ACJ3B
example.XN--D1ALF
example.XN--E1A4C
example.XN--ECKVDTC9D
example.XN--EFVY88H
example.XN--ESTV75G
example.XN--FCT429K
example.XN--FHBEI
example.XN--FIQ228C5HS
example.XN--FIQ64B
example.XN--FIQS8S
example.XN--FIQZ9S
example.XN--FJQ720A
example.XN--FLW351E
example.XN--FPCRJ9C3D
example.XN--FZC2C9E2C
example.XN--FZYS8D69UVGM
example.XN--G2XX48C
example.XN--GCKR3F0F
example.XN--GECRJ9C
example.XN--H2BRJ9C
example.XN--HXT814E
example.XN--I1B6B1A6A2E
example.XN--IMR513N
example.XN--IO0A7I
example.XN--J1AEF
example.XN--J1AMH
example.XN--J6W193G
example.XN--JLQ61U9W7B
example.XN--JVR189M
example.XN--KCRX77D1X4A
example.XN--KPRW13D
example.XN--KPRY57D
example.XN--KPU716F
example.XN--KPUT3I
example.XN--L1ACC
example.XN--LGBBAT1AD8J
example.XN--MGB9AWBF
example.XN--MGBA3A3EJT
example.XN--MGBA3A4F16A
example.XN--MGBA7C0BBN0A
example.XN--MGBAAM7A8H
example.XN--MGBAB2BD
example.XN--MGBAYH7GPA
example.XN--MGBB9FBPOB
example.XN--MGBBH1A71E
example.XN--MGBC0A9AZCG
example.XN--MGBCA7DZDO
example.XN--MGBERP4A5D4AR
example.XN--MGBPL2FH
example.XN--MGBT3DHD
example.XN--MGBTX2B
example.XN--MGBX4CD0AB
example.XN--MIX891F
example.XN--MK1BU44C
example.XN--MXTQ1M
example.XN--NGBC5AZD
example.XN--NGBE9E0A
example.XN--NODE
example.XN--NQV7F
example.XN--NQV7FS00EMA
example.XN--NYQY26A
example.XN--O3CW4H
example.XN--OGBPF8FL
example.XN--P1ACF
example.XN--P1AI
example.XN--PBT977C
example.XN--PGBS0DH
example.XN--PSSY2U
example.XN--Q9JYB4C
example.XN--QCKA1PMC
example.XN--QXAM
example.XN--RHQV96G
example.XN--ROVU88B
example.XN--S9BRJ9C
example.XN--SES554G
example.XN--T60B56A
example.XN--TCKWE
example.XN--UNUP4Y
example.XN--VERMGENSBERATER-CTB
example.XN--VERMGENSBERATUNG-PWB
example.XN--VHQUV
example.XN--VUQ861B
example.XN--W4R85EL8FHU5DNRA
example.XN--W4RS40L
example.XN--WGBH1C
example.XN--WGBL6A
example.XN--XHQ521B
example.XN--XKC2AL3HYE2A
example.XN--XKC2DL3A5EE0H
example.XN--Y9A3AQ
example.XN--YFRO4I67O
example.XN--YGBI2AMMX
example.XN--ZFR164B
example.XPERIA
example.XXX
example.XYZ
example.YACHTS
example.YAHOO
example.YAMAXUN
example.YANDEX
example.YE
example.YODOBASHI
example.YOGA
example.YOKOHAMA
example.YOU
example.YOUTUBE
example.YT
example.YUN
example.ZA
example.ZAPPOS
example.ZARA
example.ZERO
example.ZIP
example.ZIPPO
example.ZM
example.ZONE
example.ZUERICH
example.ZW

Best Forex Trading Platforms for Beginners October 2020

The Mouthbreather's Guide to the Galaxy

H1 Backtest of ParallaxFX's BBStoch system