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KFC6855/环球潮鞋: The Secrets of Replica Sneaker Selling

KFC6855/环球潮鞋: The Secrets of Replica Sneaker Selling
Following a post from u/donjonne about a HUGE Weibo story on how to actually start your own 1:1 repsneaker empire, I figured as a native Mandarin speaker I gave it a shot and translated the entire article, since I myself am pretty damn intrigued what the guy's speaking.Do note this article is written in March 2017, lots of stuff may have been outdated, and I translated word-for-word with some pruned paragraphs that seems like the fella repeating himself. I absolutely hate the weird flowery prose Mandarin always carry when I work on translations, so apologies if the in-jokes or general writing gets a bit dry.
This is my personal tl;dr without the author's boastful claims, so if you're short on time, here's the quick rundown.

How do replica sneakers get sold?

Taobao: Long history with the reputation for being the single biggest online BST hub, with Tmall and Xianyu Second-hands integrated. Lots of fake reviews and seller reputation ratings. The rep game there got outta hand, CEO of Alibaba stepped in and cleaned house, thus everyone moved to...
WeChat: Lots more convoluted, no proper tracking and confirmation like a real shopping app and build quality can vary greatly between sneaker models from the same seller. But through word-of-mouth, standout resellers get recommended more organically, of course you need connections to start with.
Agents: Your best friend if you're overseas, usually ran by freelancers merely collecting orders, reporting back to resellers and have them directly ship your kicks to your doorstep. Agents can be a single person, or a huge operation i.e. Wegobuy and Ytaopal.

How's the quality tho?

Depends. Some will try to bait-and-switch, some will bond genuine friendships for simply being a return customer. Factories often cut corners to save some dough and end up with a worse rep, so like the purpose of this sub, dig into forums and guide yourself to trustworthy sellers. Author also goes on a tangent and revealed the numbers and figures of selling reps, along with the sheer gold rush he's in now. Read below for more info.

Anything of note?

We're getting ripped off. Real hard, if you're a Mainlander chances are you're being sold 1/3 of the prices we see here. Part of the reason is that the multi-level reselling jacks up the price a lot, so unless you're buying in bulk for the purpose of selling them, good luck finding GET-passable OW AJ1's for less than $70. If you get caught selling, it's fines upwards of ¥50,000 and your license revoked, but nothing too serious beyond that. Author promised more novel shoes get made in the future, like Uggs and non-hypebeast dress shoes or sumthin.

With that outta the way, here's the translation for the whole article, hope you'll learn something for it and if there's any mistakes, feel free to point it out in DMs or just in the comments.
EDIT 17/05/2020: punctuation mistakes and missing formatting, also thanks for the kind words repfam
_______________

GOD'S HAND: The Secrets of Replica Sneaker Selling


Having been in the rep game for around 4 to 5 years, it all started out of sheer curiosity. I spent ¥1099 for Air Force 1's some celebrity wore, only to had my buddy show up on me with a fake pair of the same sneaker only costs ¥300.
Not everyone is some rich parents' spoiled brat where a pair of shoes costing a couple grand is considered pocket change, yet everyone has that sense of envy, the need to follow the hype to really stand out from the crowd, so do I honestly. But then again you'd only wear that pair of grails for only a good couple months and it'll be out of the wave, why not I find myself a more wallet-friendly way to do so?
Ever since dipping my toe into the replica community, I'm making connections, meeting new friends and getting scammed in every step I make, keeping contacts of my favorite sellers (looking back yeah they're not the best and cheapest isn't it huh). I'm deep in the rabbit hole now, buying so many pairs I'm starting to be able to tell batches at a glance, and where to hunt down that very best batch at the cheapest price. At this point it's natural that I'm thinking of selling these reps and becoming a middleman with the best of the batches under one roof (which is what's following below).
Anyone who has dealt with middlemen know that actually tracking down the direct factory outlets are nigh impossible, and the multiple stages of middlemen-ception where bigger but more discreet resellers selling to more minor, smaller middlemen can only make one dream of the sheer profit you can make for being on the very top of the pyramid, that idea has only been a mere blip in my mind. There was once in a bar my fam hollered at me with "Yo you remember that John Doe went to Putian for two years? Dude gave up college and has been filthy stinkin' rich by now!" I was like bah it'll never work out for me, but with the summer break I'd worth giving it a shot and have John Doe on the line. And boy howdy, ain't he wildin' right now with his business.
Some say every Nike you see there's 1/3 chance it's straight outta Putian, some say Nike's LC works by handling a pair of dumb shoes to an uninformed factory worker and have him say "fuck kinda shoes are these, looks cool I guess so it's legit?" The only way is to really tear down the whole sneaker and see the markings in UV, and once we're on the point where we can fake inside tags and its barcodes, ask yourself can call out fakes on feet?
A promotion for \"discount\" NB's on Weibo
Ever seen promos like these?
It's what I saw on Weibo today, and you've seen one like it yourself did you? They all look good on the images and you'd be right that they're photos of the real deal, just that of course the shoes you actually get were reps, and for each pair profits are never above ¥100; I sell ya an NB for ¥165, I'd only make ¥50.

REPLICA SNEAKERS: HOW DO THEY GET SOLD?

TAOBAO
Taobao has always been the single biggest hub for BST. Run by the faceless middlemen, sold by the page visits, and reviewed by the bots. And stores with inflated trust scores were used as a front, once costing hundreds of yuan to buy now go for the tens of thousands. As Taobao is taking action to curb counterfeits to make way for legitimate resellers, these fronts are getting more expensive by the day, since then people took it to WeChat later on.
Ask anyone who ran a Taobao store, and they'd tell you "you'll never make a cent unless you're selling fakes". A pair of (fake) shoes take some ¥100 to make, and can be sold as a legit like the thousands of yuan you see on their listings, you'd get away with dozens of fakes sold this way, where you can properly guage and adjust said price to match your profit margins. Once the rep game got popular and the snowball kept rolling, the problem got too big for Ma Yun to not ignore it and he went full banhammer on every rep seller. With every media outlet roasting Taobao's ass, everyone wises up to the knowledge that almost every sneaker you see could be fakes. The stigma lived on, and no one would touch any store where its place of origin writes "Putian".
When life gives you lemons, you make a whole damn lemonade stand and just circumvent the whole damn thing by appearing that you're not from Putian. Problem solved. As you check your shipping details, it always seems to travel from Shangai, Shenzen, Quanzhou or even goddamn Xiamen of all places, even overseas.

Proxy services are very popular due to China's stringent laws
When sneakers are labeled as being shipped from Hong Kong, of course the sellers gonna say "it's from Hong Kong" but in fact it's shipping from Shenzhen, and the seller's excuse is that the sneakers are going through HK's borders from Shenzen then to the buyer's location. Even if you bought fakes in Tmall however, it won't be as bad as the ones sold as legit retails in Taobao. There's just too many of these rip-offs anyway! Had a reseller came to me to buy 10 pairs of sneakers, I make ¥10 each pair, but he sold it as retails and went on to make ¥500 each. Of course I'd panicked a jacked a prices a bit so I could have my own slice of extra profit to ¥20 each pair, said the factories jacked the prices themselves as an excuse.
Hoe's mad I guess

WECHAT
While profit margins are no higher than Taobao, they still range around a dozen yuan on bulk. For all the actual friends I have in WeChat, I'd never believe them not having owned a replica sneaker in their whole life, blah blah blah "factory direct", "wholesale prices" my ass, who really can head to the factories and buy direct these days? Rep resellers buying bulk from those factories are truly the "direct from factory" purchases. Resellers then selling the reps to middlemen and agents, that's another step. Said middlemen then resell these reps to quote-on-quote "middlemen". (NB: may have been the very resellers we see on the sub) And it goes on and on and then, to you, the customer.The so-called A-grade reps you see on WC, let's say we buy it from the factory at ¥200 (for example, the real deal won't be this cheap) and sell to the end-user for ¥400~¥500, it does in fact look decent. Heck, retails may get "called out" in forums and reps may sneak under the radar. Chat and forum opinions aren't good indicatiors for a rep's actual quality. Thus you may wonder why buy retails at this point? No one would really hit the New Balance outlets at their local Wanda mall and ask the teeny-bop promoter lady if their kicks are legit anyway, so wouldn't this been the dream job you've wanted, right?
SMALL-TIME AGENTS
These sort of agents are mostly handling orders from overseas to cater the westerners, mainly Russian, SE-Asian, North/South American countries etc., and will never be some solo project as they always come in groups of a few dozen staff members. These agent groups can also hire decently well-spoken college students to help converse customers in English and pay them good pocket change, which is eerily similar to how Forex scams work before, but this time they're doing legit businesses for a change. Sort of.
FREELANCE AGENTS
The most common agent you may come across can be your close friends, they get instant payouts for attracting their local classmates to collect orders for reps, and this wannabe hustler reports them back to the resellers to ship to school dorms directly.

REPLICA BUILD AND QUALITY

Replicas reach far, far and wide. You could see your neighborhood cleaner aunt wearing 990v4s, motorbike taxi riders wearing Duck Camo AM90's, your kind old uncle next door exercising in Flyknit Racers and so on. NB, Nike, Converse, Ascis, Kappa; any brand you wanted they got it. ¥100 to ¥500 is what the factories charge, but after it hits resellers with a ¥200 hike, the illusion what seems to be a shoe that'll last breaks down as it wears out after a few wears. Bad stitching? Poorly-tumbled faux-leather? Off-moulded shape? I'd believe you but you sure you can tell if the EVA is fake by just looking on it? Is the gluing pattern underneath it visible even? A good deal of local boutiques sell ¥120 replicas at official retail prices like ¥599, a good ¥400 profit.
Putian factories are split into "heavy" and "light" industries. The heavy industries builds the sneaker as a whole from scratch, while the light industries were like CKD vehicles, where parts are purchased and assembled together instead. and quality of each part of the sneaker depends among factories. Lots of them try to cut corners to save every extra cent, which explains the decreasing quality of recent sneakers you see now. Larger factories has always been delivering consistently decent sneakers, as customers who contacted them are much picker and won't slash prices along with quality out of the blue. The stitching (and Nike Air units/Boost soles even!) is close enough to pass off as retails. Some of the more badass factories can make a batch of 100 brand new replicas for you, just hand in a donor retail pair and they'll get to work.The old dogs in Putian has been around for ages, runs most of the resellers you know and love. They buy reps from the factory direct at ¥140, sell to resellers at ¥160 and have the resellers push ¥180, at these prices the shoes are just not enough to satisfy demand. I've gave it an estimate if the factory got his order to 30 dozen pairs of reps, with each pair a ¥20 profit, we're looking at ¥7,000 a day or ¥20,000 a month in gross profit.
Of course, the Sales and Commerce Assoc. will still take a heavy hand on counterfeit sneakers till today, basically a few sellers every month get caught in the counterfeit business. The offenders walk into the office, sit down, had "the talk" yet again and pay a good ¥30k~¥50k fine and had their licenses taken away, for just awhile. Factories themselves get raided very seldom, maybe a every 6 months only a single factory gets caught per year. Putian has become the leading worldwide repsneaker operation for the entire world, and outputs around 50% the actual worldwide sneaker market, an estimated ¥20bn yearly. The Nikes and Adidases you wear now has an "OEM" for that. You may have bought a brand sneaker [in China], but it may very well be a fake regardless, to be fair the quality itself is indistinguishable anyway.

REPSNEAKER GRADES

1) The Standard Putian's cheapest offering, pretty much trash tier and a certain Taobao sells them the most often :^)
2) The GET Batch A huge improvement from the Standards, and the so-called 1:1 batch from the mouths of others. It's really not, some of the materials itself is not as fine or accurate as the real deal. Tmall often sells these batches, but often get sold as retails.
3) The 1:1 The absolute tip of the high-end replicas. Take it to HuPu.com and only the eagle-eyed few would call you out. Not everyone can get their hands on them, regardless of price. [eg: similar situation to UABat's Union AJ1's]
4) The Retail Nuff said, just retails. (But really, reps cost just 1/5 of the retail price, why bother lol?)
A snapshot of KFC6855's wares

HOW TO TELL FAKES

[The author essentially details how to LC NB998's, so this is best skipped as it adds nothing to the article other than repeating the author's point over and over.]

THE REPSNEAKER FUTURE

If you ever think replica sneakers will only remain within the hypebeast sporty trainer radar, oh you'd be surprised. The replica factories are on full steam, churning out Dr. Martens, UGGS, Tod's and a lot more to come. If you're interested, my WeChat: KFC6855 has them on sale right now, guaranteed to keep ya comfy this winter.

With all that said, I hope you learnt something from this, and now that you know if you really wanted a retail pair to sleep well at night, just don't get 'em in online stores. There's no glitz and glamor selling counterfeit sneakers, it's just business after all.
If you know, you know.

submitted by TeddyTheEspurr to Repsneakers [link] [comments]

eToro: impressions, doubts and (ignored) lessons from copy trading

(no promotional content, no affiliate links)
Hi,
exactly four years ago, I started copying eToro investors / traders that I selected using the broker's built-in search engine (profitable in last two years, already being copied by others), followed by manual filtering, to take into account fluctuations in yearly returns, composition of their portfolios etc. With that, I got a list of 10 people whom I started to copy on a demo account:
https://drive.google.com/file/d/1u52f0XHfr-LauIscKcFDYF0yGTTUr6VY/view?usp=sharing
In the screenshot you can see that in case of the first two of them the amount invested was $10,000, while for the rest it was just $100. This is because I started copying the first two a couple of weeks earlier; eventually I changed this into $100 the same day I made the screenshot and this is when my calculations start - so this thing is irrelevant, I just cannot travel in time to make another screenshot.
What I did after that?
Well, within the next six weeks my profits oscillated between -$11 and +$9.50 (the biggest profit was on Nov 9, a day after US presidential elections). I found this "boring" and discontinued experimenting with copy trading.
Today I looked back at those ten traders. Here is what I found. Firstly, seven of them are not with eToro anymore; investorNo1, Simple-Stock-Mkt, tradingrelax, 4exPirate, primit, Gallojack, xjurokx. The other three traders are:
My observations and thoughts are as follows:
  1. Seven out of ten traders are not with eToro anymore, which makes me wonder why. I have no proof but my guess is they simply performed poorly, lost their copiers and closed their accounts. This is already alarming but what if they opened another account? Or, even worse, multiple accounts? They could be investing small money and try different risky approaches, hoping that at least one account will turn out profitable in the long turn, attracting potential copiers. (I'm not claiming that those 7 particular traders did this, it's just my general suspicion regarding some of eToro traders)
  2. I'm unable to calculate what would be my profit if I never stopped copying them, because I cannot check at what day and with what profit those seven traders left eToro. I'm guessing this would be an immense loss. On the other hand, considering the three traders who are still with eToro, I would lose more than a quarter of my assets!
What now?
I must be a quite adventurous person or at least an incorrigible optimist, because a month ago (exactly on Aug 26th) I started copying three traders with real money. Here is who they are.
rubymza (Heloise Greeff)

OlivierDanvel (Olivier Jean Andre Danvel)

rayvahey (Raymond Noel Vahey)
What was my strategy to hand-pick these particular traders? First I did some basic scanning using eToro's built-in search engine. The most important filter was that the trader was profitable within the last two years: unfortunately, eToro does not allow to reach details of earlier performance automatically. To know how the trader performed before 2019, I had to look at stats in the profile of each of them. I was also taking into account how often they trade (to avoid those who do only a couple of trades yearly), whether they were trading recently and whether they write posts regularly in their feed. With this, I got a list of fifteen candidates to copy:
As you already know, I finally chose three of them. Rubymza seemed to be the most trustworthy stock trader, based on profits, posts feed and regular trading, among other things. Regarding OlivierDanvel, his uniqueness is the ability to record continuous profits with the Forex market. Finally, with rayvahey I wanted to increase my exposure to the commodities market.
Wish me good luck!
Michael

P.S.
You might find those copy-trading related readings interesting:

Disclosures:
submitted by investing-scientist2 to StockMarket [link] [comments]

10 Ways to Make Money Online in South Africa

There are a lot of opportunities online for anyone that wants to make a little extra money. From a part-time hustle to an all-out digital career, there are loads of ways that you can make money with an electronic device, and a connection to the internet.

  1. Paid Surveys - Did you know that thousands of South Africans earn extra income by simply participating in online surveys to help local companies improve their products? Finally, now you have an opportunity to do this as well! You can find a list of the top survey sites for South Africa HERE
  2. Selling Your Photos Online - Selling photos is a wonderful way to make money online if you have an aptitude for photography. Two popular platforms that you can try are Shutterlock and Unsplash. Every platform will have different requirements, but they will all pay you in hard cash. Though the photography market is quite hectic, it’s still a good method of gaining a passive income if you’re persistent and professional. Plus, the opportunity for additional sales is higher when your photos become popular. Many companies need photos of landscapes, and we all know that South Africa has some of the most amazing scenery in the world. In some cases, a smartphone is enough to get started, depending on the stock photo site you choose.
  3. Be a Freelance Content Writer - Freelance writing is a serious online business. The internet enters most areas of our life, and the need for blog articles and various types of content is exploding. There are many kinds of online writing work, and many people need things like product descriptions or simple reviews. Before going further in this direction, you first need to set up a blog or website. This will be an amazing portfolio where you can demonstrate to potential clients or businesses that you can deliver great work. A LinkedIn profile can be created to function as an online portfolio as well. Don’t forget that many writing clients will want to see specialized work, so be sure to consider what area you would like to specialize in. The pay for online writing varies, but with some practice, you should be able to make a decent part-time income.
  4. Sell Unwanted Goods - You can sell your unwanted stuff to people who want it and make your side business a real money maker. There’s plenty of options to use for sales such as Gumtree or Amazon. Don’t forget to do some research and see what assets have recently been sold so you have a target price. If you a business, you can sell other people’s goods as well. Many people don’t have the time or patience to sell goods online, and you can do it for them. If you charge a reasonable percentage of the sales, you can make a solid business out of selling used goods online.
  5. Build a Personal blog/website - Not only can you write for companies to gain income but you’re also able to run your own blog to raise money as well. Set your expectations at a reasonable level because this job requires consistent practice and lots of patience. Bloggers make a profit, often through press coverage, advertising products, and writing sponsored guest posts. You will need to run the blog for a while before you can expect to see any profits, but it is very simple to get started. Check out some of the other ideas on this list for ways to leverage a blog for greater income, like selling drop shipped items.
  6. Legitimate Remote Jobs can Pay Real Money - Many companies are heading to a work-from-home style of business since this type of model helps save money, and eliminates the risk of illnesses. People are completely flexible while working for a company and selecting where they decide to spend their time.CrowdSource, for example, hires remote writers, editors, and other jobs that can be done easily from anywhere. Companies like Fast Chart offer work-from-home options for medical transcriptionists. You can also try seeking opportunities at LiveOps, a call center staff. You might be surprised at how much time and money you save when you work at home. There is no transit, and you can cook for yourself. Think about it!
  7. Become a Dropshipper - Dropshipping is not a strange term, especially when eCommerce is booming. Anyone can be a drop shipper since the work requires low investment at the beginning and also guarantees minimal risk. The system operates by purchasing the stock (goods) from a third party supplier or manufacturer, who then fulfills the customer’s request. You don’t have to shop or handle goods in advance because the product comes directly from the vendors whenever an order is placed by a customer. There are many dropshipping platforms out there, and some are basically free to use. You will need to figure out how to market the goods, which is where a blog or website comes in very handy.
  8. Affiliate Marketing - Affiliate marketing is a popular method of making money online in South Africa and across the world. You can sell into a variety of markets with this business model, and make money almost anywhere. You can generate revenue from product sales. In other words, affiliate marketers will refer readers to a lot of products and get a small cut from them. Once a customereader buys products, you will earn a commission. A widely known approach is to start creating your own blog in a specific niche and to establish a trustworthy community that can purchase your promotions. Unlike dropshipping, you simply get a commission and have no other responsibilities. So easy! Check out SA’s leading affiliate network – https://www.affiliate.co.za/
  9. Online Business with Etsy - Try selling DIY designs and crafts on Etsy if you’re a skilled maker. An Etsy shop is basically free to operate, and you can make real money with the platform. Once your registration is complete, you can start posting photos of your works, and people can purchase your products. There is really no limit to what can be sold on Etsy, but make sure that you are able to send your goods to other countries, as many buyers are likely to be in the EU or North America. A PayPal account is important to have and also a popular payment choice so that customers can pay you quickly. Take nice pictures of the items to help draw purchasers into a sale. Make sure that you have good customer service as well, or you won’t be selling on the platform for very long!
  10. Forex Trading - You might have heard about trading FOREX or Contract For Difference (CFD) trading. The basics of this online money-making are simple. You will choose a currency pair, and bet on the direction of one currency vs. the other. For example, you could speculate that the EURO will appreciate vs. the RAND (or just about any currency). If you are correct, and then sell the contract, you will make profits. While this might sound easy, most people who do this lose money. In addition to currency, most retail FOREX brokers will allow you to trade in other markets, such as commodities, or shares. If you are looking for a reliable income, this probably isn’t right for you. On the other hand, if you don’t mind taking on risks, trading FOREX can be extremely profitable.
submitted by MrPassiveIncome to beermoneysouthafrican [link] [comments]

Copy trading with eToro: impressions, doubts and (ignored) lessons

(no promotional content, no affiliate links)
Hi,
exactly four years ago, I started copying eToro investors / traders that I selected using the broker's built-in search engine (profitable in last two years, already being copied by others), followed by manual filtering, to take into account fluctuations in yearly returns, composition of their portfolios etc. With that, I got a list of 10 people whom I started to copy on a demo account:
https://drive.google.com/file/d/1u52f0XHfr-LauIscKcFDYF0yGTTUr6VY/view?usp=sharing
In the screenshot you can see that in case of the first two of them the amount invested was $10,000, while for the rest it was just $100. This is because I started copying the first two a couple of weeks earlier; eventually I changed this into $100 the same day I made the screenshot and this is when my calculations start - so this thing is irrelevant, I just cannot travel in time to make another screenshot.
What I did after that?
Well, within the next six weeks my profits oscillated between -$11 and +$9.50 (the biggest profit was on Nov 9, a day after US presidential elections). I found this "boring" and discontinued experimenting with copy trading.
Today I looked back at those ten traders. Here is what I found. Firstly, seven of them are not with eToro anymore; investorNo1, Simple-Stock-Mkt, tradingrelax, 4exPirate, primit, Gallojack, xjurokx. The other three traders are:
My observations and thoughts are as follows:
  1. Seven out of ten traders are not with eToro anymore, which makes me wonder why. I have no proof but my guess is they simply performed poorly, lost their copiers and closed their accounts. This is already alarming but what if they opened another account? Or, even worse, multiple accounts? They could be investing small money and try different risky approaches, hoping that at least one account will turn out profitable in the long turn, attracting potential copiers. (I'm not claiming that those 7 particular traders did this, it's just my general suspicion regarding some of eToro traders)
  2. I'm unable to calculate what would be my profit if I never stopped copying them, because I cannot check at what day and with what profit those seven traders left eToro. I'm guessing this would be an immense loss. On the other hand, considering the three traders who are still with eToro, I would lose more than a quarter of my assets!
What now?
I must be a quite adventurous person or at least an incorrigible optimist, because a month ago (exactly on Aug 26th) I started copying three traders with real money. Here is who they are.
rubymza (Heloise Greeff)

OlivierDanvel (Olivier Jean Andre Danvel)

rayvahey (Raymond Noel Vahey)
What was my strategy to hand-pick these particular traders? First I did some basic scanning using eToro's built-in search engine. The most important filter was that the trader was profitable within the last two years: unfortunately, eToro does not allow to reach details of earlier performance automatically. To know how the trader performed before 2019, I had to look at stats in the profile of each of them. I was also taking into account how often they trade (to avoid those who do only a couple of trades yearly), whether they were trading recently and whether they write posts regularly in their feed. With this, I got a list of fifteen candidates to copy:
As you already know, I finally chose three of them. Rubymza seemed to be the most trustworthy stock trader, based on profits, posts feed and regular trading, among other things. Regarding OlivierDanvel, his uniqueness is the ability to record continuous profits with the Forex market. Finally, with rayvahey I wanted to increase my exposure to the commodities market.
Wish me good luck!
Michael

P.S.
You might find those copy-trading related readings interesting:

Disclosures:
submitted by investing-scientist2 to InvestmentClub [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

Anyone use Fusion Markets as their broker?

Looking for a decent broker for forex scalping and came across fusion markets. I'm a canadian and these guys look interesting. I don't see that many reviews or general discussion on them online so I'm wondering if they are safe at all?
submitted by SuperbHappyGuy to Daytrading [link] [comments]

Fund, Growing up!.

Fund, Growing up!.
The coming months for fund are going to be memorable events for us long time fans, with a slew of things to come, no wonder there is plenty of renewed excitement around this project.
Thankyou u/MasteRalph for allowing use of content.
$FUND gearing to release comprehensive news videos & articles aimed to get big attention! Some of the hottest influencers will also be onboard. Top tier exchanges New wrkchains (clients) Public accountability chain July is going to be Huge!
A quick recap of sorts
UND Unification as some might know its previous ticker as, has since changed to FUND.
The Tech.
Beacons are the best choice for singularly maintained centralized databases that require an element of trust added
WRKChains are a Distributed Ledger Technology designed specifically for real-world enterprise and consumer adoption
TokenForge is Unification’s WRKChain infrastructure that allows for a consortium marketplace based on tokenization
Roughly 90% of the total supply (1bill) has been burnt, and has switched from und testnet to fund mainnet on May 14th, and completed $UND to $FUND swap at 1:1 ratio. here is a more indepth article on it. https://medium.com/unificationfoundation/the-unification-new-genesis-event-88-of-und-supply-destroyed-37fa56484396
Tokenomics;
Explorer: https://explorer.unification.io/
Circulating supply : 93,851,203
Total supply : 120,000,000
Staking: YES
There are 49 million tokens currently at perma stake by the company to secure the network at 51% attack. This will be locked forever for the security of the network. This is equivalent to 1/3 of total supply.
Also, 10m $FUND will be minted each year that will bring the total supply at maximum of 210 million by the year 2029. But it will be locked and will only be used to sell for enterprises for utility usage and to pay for network tax (block rewards) it means, the more WrkChains will be deployed, there will be "DEFLATION" because it will be used by enterprises etc. If those 10million minted $FUND each year is not sufficient for enterprises, they have to MARKET BUY the $FUND tokens.
Main Team Goals
To deploy 100 Wrkchains this 2020
Partners:
Travala.com
INLAGS (Latin American Institute of Health) https://www.inlags.com/
BidiPass (https://bidipass.org/)
Alpha Chain (https://alphachain.com/)
Yellow (https://www.yellow.com/)
Beach Head (https://www.beachhead.com/)
Binance Info (https://info.binance.com/)
Deployment Partners:
Amazon Web Services
Google Cloud Platform
Microsoft Azure
Exchanges:
Probit (suggested exchange, NO KYC)
BitForex (suggested exchange, but low liquidity)
Binance Dex (Not a mainnet, needed to swap)
Digifinex
More Info
Generation Crypto AMA Recap http://gcrypto.media/unification-ama-recap/
WrkChains detailed explanation https://www.youtube.com/watch?v=4hJmV5vdG2o&feature=emb_title
The Gem Hunters rated $FUND as Emerald Grade 3 https://www.thegemhunters.net/reviews
A superb review of $FUND by Blockfyre, Rated $FUND a score of B7. https://blockfyre.com/unification-fund/
tehMoonwalkeR added $FUND to his list. https://twitter.com/tehMoonwalkestatus/1265281813603250179?s=19
An interesting thread by other user https://www.reddit.com/CryptoMoonShots/comments/gn0j9v/the_birth_of_fund_moonshots_part_2/?utm_medium=android_app&utm_source=share
Telegram https://t.me/unificationfoundation
Telegram Ann: https://t.me/UnificationOfficial
Medium: https://medium.com/unificationfoundation
Twitter https://twitter.com/UnificationUND?s=09
Coingecko https://www.coingecko.com/en/coins/unification
Conclusion:
You can apply the law of supply and demand in this token. Wherein scarcity will happen and will boost the token's price a lot and also consider the 49m permanent stake which is 1/3 of the total supply. Which means only 71 million are in the circulation. If this will be listed to another 5 more exchanges, the demand will increase which will give a massive boost to the price. Plus, add those incoming WrkChains deployment which will use about an estimation of 500k to 1million $FUND per year for utility usage. Their main goal this 2020 is to deploy 100 WrkChains. Imagine the scarcity. It will be above the rest. They worked hard 2 years for this perfect solution. Silently working and here they are, going to make a name in the industry.

I own a bag of fund now on account of gemhunters indepth look at this token.
submitted by Syscoind to UnificationFoundation [link] [comments]

Question regarding fees. Also need someone to review my recent trade decisions

1. Fees affecting my decisions
If my target is 1.5%/1% P/L. Should I keep my position in most cases untill one or the other happens? I had many opportunities to sell on 0.3-0.5% profit but I'm trading crypto and maker fees would put me on breakeven slight loss or profit that doesn't really justify the risk taken or even if I want to take what i'm given I still wait for the confirmation candle and by the time it closes my profit potential is gone. Feels like i'm missing out on many opportunities to make a number of small trades while waiting for larger increase. So I keep the position and couple times already that resulted in stop loss. That I know I could avoid
I also wonder are fees just as brutal on forex market? On kraken maker pays 0.016% + 0.002% for margin call. I don't trade with much, only $600 i don't expect to make money, best I hope for is to break even but those crypto trading fees really make it confusing to see If I'm making any progress at all
2. Review of my trades
I'm completely new to this my plan is to document my trades and ask people what i could do better.
overall look at a chart: https://i.imgur.com/bOe0tzZ.png
closer look: https://i.imgur.com/MCjLLy7.png
  1. With my first trade (very left of the chart) I went against the trend which at the time seemed like a good idea. But I was trying to predict breakup based on macd and a gut feeling telling me that ETH is oversold. So in the end I decided to sell as soon as price allowed me to cover the fees. Unfortunely breakup eventually did happen. I'm not sure what my risk there was honestly. On average I'm guessing it was a correct idea to sell rather than hope especially when chart keeps on going down with no sign of stopping
  2. Next trade is a short. This time I decided to draw trend lines based on 3 min chart. (Did I draw trend lines correctly?) Again this might have been a bad idea but it at the time i felt like galaxy brain move. I saw resistance later I honestly wanted to sell at that time. I would make like 0.40% but I had fees on my mind and decided to wait. This time stop loss at 1% was triggered. :(
  3. https://i.imgur.com/kmNWSlP.png With that trade I admit I was a little bit tiled I knew i could avoid my previous loss. I drew new upper trend line based on 15 min chart (again, did I draw it correctly?) and decided to short again. One youtuber I watch says that every reaction is an overeaction so my guess was that it's unlikely for price to hit new high. At the moment of writng this this position is at +0.53% P/L. I feel like I should keep this position I plan to sell it once price is near bottom line. Because I've read that once chart breaks through the resistance line, that line is most likely to become a new support
submitted by ItsMango to Daytrading [link] [comments]

Is this site trushworthy?

I've been thinking about opening account on this site but i've seen some bad reviews about it on this page: https://www.forexpeacearmy.com/forex-reviews/8416/trading212-forex-brokers So I'm wondering why are all these people typing such bad comments does anyone have explanation?
submitted by zfev to trading212 [link] [comments]

2k More Subs For Your Marketing

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  291. S10wallpapers
  292. CableManagement
  293. TheGalaxyNote10
  294. MechanicalKeyboards
  295. subreddit
  296. 24hoursupport
  297. galaxynote
  298. audio
  299. unexpectedcommunism
  300. AllNighterArmy
  301. u_sikst33n
  302. shittyshowerthoughts
  303. ShowerThoughtsUL
  304. teenagersnewmusic
  305. modhelp
  306. TeenagersButBetter
  307. teenagersnew
  308. notinteresting
  309. Monstercat
  310. cursedcursedcomments
  311. thatsthejoke
  312. AskTeenGirls
  313. FIFA
  314. pennystocks
  315. u_MainRide
  316. u_voloxii
  317. perfectlycutscreams
  318. MrBeast
  319. geocaching
  320. YoungThug
  321. duolingomemes
  322. earlsweatshirt
  323. YoungPeoplePornhub
  324. u_SyrupOnWaffle_
  325. russ
  326. unexpectedmoisture
  327. RealAntiVaxMovement
  328. SandersForPresident
  329. Astroneer
  330. forbiddensnacks
  331. RosemountHighMN
  332. smoobypost
  333. HelicopterAddict
  334. Brawlstars
  335. Sino
  336. iamverybadass
  337. u_moohmad511
  338. TooMeIrlForMeIrl
  339. dontputyourdickinthat
  340. DokkanBattleCommunity
  341. BanPitBulls
  342. GameTheorists
  343. Homophobes
  344. MGTOW
  345. u_RC_G4m1ng
  346. horn
  347. wow
  348. feedthebeast
  349. creepyasterisks
  350. FoodPorn
  351. 5ToubunNoHanayome
  352. pewdiepie
  353. Diepio
  354. ZombielandSaga
  355. MCPE
  356. minecraftsuggestions
  357. Zebra1
  358. 1arbez
  359. BikiniBottomTwitter
  360. u_zeebbbrrrraaaaa1
  361. girlsfrontline
  362. HolUp
  363. hmm
  364. Memes_Of_The_Dank
  365. BeansInThings
  366. egg_irl
  367. schoolsuxrealbad
  368. Slipknot
  369. steelseries
  370. buildapcsales
  371. ClashRoyale
  372. MouseReview
  373. essential
  374. DarlingInTheFranxx
  375. redditmobile
  376. BattlelandsRoyale
  377. AskAnthropology
  378. AskBattlestations
  379. PSVR
  380. RocketLeagueExchange
  381. LogitechG
  382. XIM
  383. battlefield_one
  384. XiM4
  385. DHMIS
  386. Maximilianmus
  387. shittyrainbow6
  388. donniedarko
  389. SongMeanings
  390. indieheads
  391. DiagnoseMe
  392. FiftyFifty
  393. shitpostemblem
  394. Ooer
  395. Pasteurized
  396. StreetFighter
  397. Justfuckmyshitup
  398. United_Chads
  399. MakeNewFriendsHere
  400. Vans
  401. beetlejuicing
  402. Nicegirls
  403. u_AnthropomorphizedYak
  404. Gintama
  405. teengamingnights
  406. SwitchPirates
  407. SwitchHacks
  408. VaporwaveAesthetics
  409. imsorryjon
  410. u_DesuNyanNyan
  411. Im5andthisismacaroni
  412. DesuNyanNyan
  413. Weebagers
  414. me_irlgbt
  415. terriblefandommemes
  416. antimeme
  417. 2wholesome4meirl
  418. PUBGMobile
  419. Mi9T
  420. MSTF1
  421. EatCheapAndHealthy
  422. automationgame
  423. bugs
  424. InternetHistorian
  425. area43
  426. JonWinsTheThrone
  427. dogelore
  428. specializedtools
  429. trypophobia
  430. NIBBBA
  431. backrooms
  432. RBI
  433. BarryVsLarry
  434. mentalillness
  435. misanthropy
  436. DeepIntoYouTube
  437. phonewallpapers
  438. AccidentalRenaissance
  439. PanicAttack
  440. prozac
  441. ipfs
  442. ksi
  443. Sidemen
  444. FRC
  445. CookieClicker
  446. EnterTheGungeon
  447. SaddestCringe
  448. mildlyvagina
  449. fixit
  450. FullScorpion
  451. scpfuel
  452. nevertellmetheodds
  453. shittylifehacks
  454. DarkHumorAndMemes
  455. cat
  456. redditgolddigger
  457. freegold
  458. GoForGold
  459. animememes
  460. hentaidankmemes
  461. CoolBugFacts
  462. firetruckmostertruck
  463. u_Colek1127
  464. thechurchofpoppy
  465. weeatwasps
  466. moist_memes
  467. WeEatBees
  468. SonicTheHedgehog
  469. KDRAMA
  470. Airsoft_UK
  471. plymouth
  472. unexpecteditcrowd
  473. u_diabolicalb3ast
  474. thewalkingdead
  475. forhire
  476. bdoghomieg123
  477. ems
  478. Python
  479. WatchRedditDie
  480. MEOW_IRL
  481. Motocross
  482. Technoblade
  483. DarkJokeCentral
  484. BreadStapledToTrees
  485. u_sockmysocks
  486. deadbydaylight
  487. nocontextpics
  488. discgolf
  489. magicTCG
  490. Catsmirin
  491. astrophotography
  492. suspiciousquotes
  493. texts
  494. NASCAR
  495. androidroot
  496. hittableFaces
  497. FuckHomescapes
  498. HowToHack
  499. hacking
  500. shortcuts
  501. iOSsetups
  502. PixelGun
  503. Drugs
  504. iOSBeta
  505. JelBrek
  506. rage
  507. Sbubbyirl
  508. frogs
  509. Shittypokestops
  510. PokemonGoNewJersey
  511. Fishing
  512. MonsterHunterWorld
  513. friendsafari
  514. u_xProfessionalRetardx
  515. ThiccNibbaInc
  516. TheBoomerFamily
  517. ihavereddit
  518. playrust
  519. playrustcirclejerk
  520. theyknew
  521. JustCause
  522. pcpartpickerbuilds
  523. TechNope
  524. RandomQuestion
  525. nice
  526. LinusTechTips
  527. IdiotsFightingThings
  528. MensRights
  529. nocontext
  530. bootcamp
  531. Tendies
  532. SubsYouFellFor
  533. kauai
  534. electronics
  535. u_That_one_sander
  536. HowDoIRespondToThis
  537. MinecraftBuddies
  538. overlord
  539. MangaCollectors
  540. MeetPeople
  541. CreatorServices
  542. accidentalswastika
  543. slavelabour
  544. translator
  545. youtubestartups
  546. commandandconquer
  547. freesoftware
  548. handbrake
  549. prisonschool
  550. wholesome
  551. xbox
  552. supersmashbros
  553. 3Dmodeling
  554. NewTubers
  555. Scams
  556. netflix
  557. wiiu
  558. TVDetails
  559. notforspelunking
  560. Tetris99
  561. jakanddaxter
  562. u_B00tyC0nsumer69
  563. grissomhighschool
  564. nba
  565. MineralPorn
  566. Miniworlds
  567. theperfectpokemongame
  568. LAClippers
  569. wildbeef
  570. KeanuBeingAwesome
  571. rescuecats
  572. penguin
  573. Zoomies
  574. shiba
  575. Raccoons
  576. u_YeetVegetabales
  577. agt
  578. Davie504
  579. misfits
  580. HeistTeams
  581. TapTitans2
  582. Whataburger
  583. ATT
  584. TeensMeetTeens
  585. razer
  586. USAA
  587. Nitrotype
  588. AnaMains
  589. Shitstatistssay
  590. summonerswar
  591. DestinyLFG
  592. riverdale
  593. superpowereds
  594. Kakegurui
  595. EntitledPeople
  596. rutgers
  597. DragonballLegends
  598. OnePieceTC
  599. DBZDokkanBattle
  600. MortisGang
  601. gaybrosgonemild
  602. Tunisia
  603. YouTube_startups
  604. TwitterFollowers
  605. hackintosh
  606. twitter_memes
  607. YouTubePromoter
  608. SimCity
  609. weather
  610. LowSodiumDestiny
  611. IncreasinglyVerbose
  612. suddenlysexoffender
  613. absolutelynotme_irl
  614. 4PanelCringe
  615. Monk
  616. u_VeryWeirdHumanBeing
  617. thanksihateit
  618. MiniLadd
  619. flatearth
  620. bertstrips
  621. FortniteBattleRoyale
  622. ShrineOfJonesy
  623. custommagic
  624. China
  625. Rowing
  626. CardiganWelshCorgi
  627. GlobalOffensive
  628. AustralianShepherd
  629. montageparodies
  630. seltzer
  631. Hedgehog
  632. wallpaper
  633. TeenagersShitpost
  634. CallOfDuty
  635. ShadowBan
  636. TeensDebate
  637. PoliticalDiscussion
  638. Youbrokethechain
  639. MadeInAbyss
  640. grilledcheese
  641. DidntKnowIWantedThat
  642. httyd
  643. AvengersEndGame
  644. FortniteDisscusion
  645. Kaiserreich
  646. yesyesyesno
  647. puns
  648. u_andrew_982_
  649. orangesbeingbros
  650. geometrydash
  651. ilikemybeatsfast
  652. EmojiPolice
  653. BanVideoGames
  654. Telephoneism
  655. onewordeach
  656. TheRightCantMeme
  657. u_LegendGamer320
  658. Library
  659. BetaLands
  660. MortalKombat
  661. retrogaming
  662. nes
  663. Gameboy
  664. ClassicRock
  665. Tinder
  666. intotheshadowrealm
  667. highdeas
  668. AccidentalThanos
  669. shittymoviedetails
  670. trebuchetmemes
  671. TheOfficialPodcast
  672. Getdownmrpresident
  673. UnethicalLifeProTips
  674. talesfromcavesupport
  675. BattlefieldV
  676. UNCCharlotte
  677. Military
  678. Buddhism
  679. biology
  680. Blackrun
  681. single
  682. PostAndBanned
  683. PedoLogic
  684. wooooosh
  685. gaeilge
  686. woof_irl
  687. u_PeePeePooPooHead69
  688. csgo
  689. AskOujia
  690. YuB
  691. SubsIFellFor
  692. pokemonuranium
  693. familyguy
  694. u_yeetus-Antq
  695. TheOther14mil
  696. badteachers
  697. ExplainAGamePlotBadly
  698. u_mrbro1o1
  699. KrunkerIO
  700. dankmemes2
  701. shieldbro
  702. PSP
  703. collage
  704. Roms
  705. mormon
  706. dirtyvoicechat
  707. Internet
  708. NoFapChristians
  709. MinecraftOne
  710. minecraftseeds
  711. xboxone
  712. FuckMyShitUp
  713. PUBGXboxOne
  714. fourpanelcringe
  715. Dogfree
  716. CanadianHardwareSwap
  717. hardwareswap
  718. MinecraftCommands
  719. prusa3d
  720. Wealthsimple_Trade
  721. redbull
  722. IVBDA
  723. ac_newhorizons
  724. raresuicidebywords
  725. fourredditorsonecup
  726. unexpectedcannibalism
  727. airpods
  728. rimjob_steve
  729. flextapecantfixthat
  730. twentyonepilots
  731. DecreasinglyVerbose
  732. TheRealJoke
  733. UpvotedBecauseButt
  734. redditsings
  735. TwennyWunPilots
  736. iOSthemes
  737. subtleprequelmemes
  738. HarleyQuinn
  739. Niggawhat
  740. Shitty_Car_Mods
  741. subsithoughtifellfor
  742. Voltron
  743. epicmemes
  744. vancouver
  745. Warhammer40k
  746. PokemonXandY
  747. LooksLikeSlazo
  748. IamNumberFour
  749. swrpg
  750. MafiaCityMemes
  751. swtor
  752. RoyaleRecruit
  753. Vaping
  754. pan_media
  755. DestinyLore
  756. FortniteSucks
  757. fightporn
  758. themob
  759. u_GrizzyIy
  760. XXXTENTACION
  761. 4chan
  762. MusicForTeens
  763. tazman595
  764. karma
  765. school
  766. Cancersupportgroup
  767. cancer
  768. SeriousConversation
  769. PeopleAreFckinStupid
  770. JackSucksAtLife
  771. Why
  772. oddlyspecific
  773. oculus
  774. bookclapreviewclap
  775. FixMyPrint
  776. arduino
  777. EtikaRedditNetwork
  778. SmallWitDatHotFiya
  779. 465
  780. idklolihidsomething
  781. hmssss
  782. UsefulMemes
  783. calebfinn
  784. Animal
  785. randomactsofkindness
  786. shy
  787. TomHolland
  788. bulletjournal
  789. shittyfacebookmemes
  790. EmpireDidNothingWrong
  791. OculusQuest
  792. coincidence
  793. chairsunderwater
  794. DecaturHighschoolGA
  795. XXY
  796. Dyslexia
  797. uwutranslator
  798. ContestOfChampions
  799. UsernameChecksOut
  800. unexpectedtrivago
  801. wrongnumber
  802. venmo
  803. IllegalLifeProTips
  804. HitBoxPorn
  805. Shrek
  806. weirdnews
  807. specialed
  808. EndgameSpoilers
  809. specialeducation
  810. antivax
  811. AntiVaxxers
  812. u_purpleyellowpaint
  813. bi_irl
  814. sugarfreemua
  815. lanadelrey
  816. volleyball
  817. muacjdiscussion
  818. ThisButUnironically
  819. ShitLiberalsSay
  820. brokeabone
  821. discord_irl
  822. excitingdystopia
  823. BenBashiroLore
  824. VaushV
  825. ABoringDystopia
  826. FristOfAllHowDareYou
  827. hamsters
  828. SubredditSimMeta
  829. TropicalWeather
  830. Landlord
  831. AntifascistsofReddit
  832. hamstercare
  833. vexillologycirclejerk
  834. therewasnoattempt
  835. ennnnnnnnnnnnbbbbbby
  836. RealSolarSystem
  837. u_CondomCrusader69
  838. band
  839. FlexSealFanClub
  840. Armor
  841. MemeFormats
  842. Puberty
  843. conceptart
  844. CondomKingdom
  845. u_Some16yoLosr
  846. FireEmblemHeroes
  847. FondantLove
  848. LaCrescentMN
  849. u_PugMage101
  850. darkvideos
  851. u_Sadness92
  852. PERSoNA
  853. JacksFilms
  854. jschlatt
  855. castlevania
  856. stfuretard
  857. CloneWarsMemes
  858. DeepFried
  859. legostarwars
  860. u_DVproductions64
  861. KamikazeByWords
  862. ImGoingToHellForThis
  863. linuxmemes
  864. codes
  865. crypto
  866. cpp_questions
  867. Laptop
  868. debian
  869. Kalilinux
  870. PHP
  871. TOR
  872. Doomers
  873. learnpython
  874. RecRoom
  875. orbusvr
  876. VirtualDesktop
  877. bigscreen
  878. ProTubeVR
  879. VRchat
  880. OculusQuestModding
  881. Borderlands2
  882. DeathToBuzzfeed
  883. deadbabyjokes
  884. u_MCT1233
  885. kpop
  886. crystalclear
  887. GIDLE
  888. pokemongoyellow
  889. bidle
  890. unpopularkpopopinions
  891. HermitCraft
  892. ItHadToBeBrazil
  893. grian
  894. MumboJumboYouTube
  895. recycling
  896. usernamefamily
  897. BirdsArentReal
  898. u_Gay_Papa
  899. BSA
  900. u_ConsumeSyrup
  901. ModdedMinecraft
  902. ROBLOXmemes
  903. gangbeasts
  904. Discussion
  905. CrossCountry
  906. fuck
  907. FML
  908. TonightsBigLosers
  909. skeppy
  910. mcservers
  911. pussypassdenied
  912. backgrounds
  913. IsThereASubredditFor
  914. BulletHellMonday
  915. u_whyMYpeepeeGREEN
  916. marchingband
  917. TuberSimulator
  918. FosterTheCirclejerk
  919. GiftofGames
  920. deadmeatjames
  921. AshVsEvilDead
  922. GachaLifeCringe
  923. IntotheDarkHulu
  924. ChernobylMemes
  925. asl
  926. Hong_Kong
  927. vexillology
  928. imaginarymaps
  929. mountaindew
  930. SurrealApprovals
  931. Blessed_Images
  932. Metallica
  933. ainbow
  934. u_Mr-Damaged
  935. SmallYTChannel
  936. skype
  937. FamilyIssues
  938. FellowTeens
  939. MinecraftParodyMemes
  940. BloodyLegends
  941. DankMemes_Circlejerk
  942. cursedminecraftimages
  943. TeenagersUnrelatable
  944. reddeadfashion
  945. reddeadmemes
  946. itswooshwith2os
  947. phones
  948. Fishers
  949. Quizlet_Live_Raids
  950. CutePuppyPics
  951. u_Wakeless_place
  952. SeenElsewhere
  953. GreyStillPlays
  954. LazarBeam
  955. FUCKYOUINPARTICULAR
  956. stein_world
  957. perfectphotos
  958. PhoenixSC
  959. Crayfish
  960. MinecraftVsFortnite
  961. CallOfDutyWorldWarTwo
  962. hypixel
  963. videomemes
  964. KeanuReeves
  965. ubisoft
  966. jacksepticeye
  967. Filmora
  968. montreal
  969. ComradeSShow
  970. InsiderMemeTrading
  971. unnamedfanbase
  972. LoomianLegacyTrading
  973. AnimalCrossingNewLeaf
  974. AdoptMyVillager
  975. papermario
  976. Memeconomy
  977. TooCuteForPorn
  978. ben
  979. GTAV
  980. smplive
  981. galaxybuds
  982. AMCsAList
  983. TwitchClips
  984. Spellbreak
  985. QueerEye
  986. jesuschristouija
  987. u_randomflyingcars
  988. onebag
  989. networking
  990. Dappermemes
  991. CrazyIdeas
  992. hardware
  993. beagle
  994. BoomerTears
  995. keto
  996. european_dankmemes
  997. QuantumSubreddits
  998. TeenMomOGandTeenMom2
  999. WeightLossAdvice
  1000. RLFashionAdvice
  1001. MetalMemes
  1002. systemofadown
  1003. guitarcirclejerk
  1004. drums
  1005. Megadeth
  1006. weightlifting
  1007. gmod
  1008. avengedsevenfold
  1009. airsoftcirclejerk
  1010. paintball
  1011. arma
  1012. joinsquad
  1013. AOC
  1014. fakeobituary
  1015. fuckmanny
  1016. JustBeWhite
  1017. GODUS
  1018. fuckalinity
  1019. adventurerscodex
  1020. slavbot
  1021. Meme_Battles
  1022. u_Trollium2166
  1023. gtavcustoms
  1024. 350z
  1025. Hawaii
  1026. Scootering
  1027. skate3
  1028. bmx
  1029. arizona
  1030. Sunsets
  1031. projectcar
  1032. Mustang
  1033. snowboarding
  1034. Boxing
  1035. u_slyone05
  1036. gank
  1037. ForHonorWuLin
  1038. bruhfunny
  1039. ForHonorRants
  1040. ProjectJojo
  1041. ProGreenStarPlatinum
  1042. fanStands
  1043. nothingeverhappens
  1044. imveryedgy
  1045. stupidquestions
  1046. forhonorknights
  1047. UnexpectedForHonor
  1048. ShootingFishInABarrel
  1049. RubberSoulMains
  1050. JojoHFTF
  1051. UnexpectedJoJo
  1052. undetectedsabaton
  1053. Battlefield
  1054. MillenniumDawn
  1055. fightsticks
  1056. okuyasu_irl
  1057. Stepmania
  1058. WOOOOOOSHED
  1059. shigechi_appreciation
  1060. completelyrealtexts
  1061. SteamScams
  1062. Powerwolf
  1063. u_KindStrangerOnReddit
  1064. PvZHeroes
  1065. Fish
  1066. JuiceWRLD
  1067. Gatorade
  1068. SelfHate
  1069. UgandaKnuckles
  1070. depressed
  1071. walouija
  1072. WeirdQuites
  1073. askdoctors
  1074. u_White0000
  1075. TrollXChromosomes
  1076. NarutoBlazing
  1077. u_Datnotguy17
  1078. howtokeepanidiotbusy
  1079. AyyMD
  1080. Jreg
  1081. wheresMwaldo
  1082. Political_Tumor
  1083. Purdue
  1084. GamingDetails
  1085. Handwriting
  1086. CrossView
  1087. SharedBPM
  1088. test
  1089. Stonetossingjuice
  1090. PictureGame
  1091. explainabookplotbadly
  1092. DuwangGang
  1093. Meemagers
  1094. CallMeCarson
  1095. ToolJerk
  1096. cursedmemes
  1097. virtualbeggar
  1098. left4dead
  1099. bigbangedmemes
  1100. whatintarnation
  1101. comicbookcollecting
  1102. Trophies
  1103. u_lilsusnibba
  1104. subredditwithnorules
  1105. homestuck
  1106. lux
  1107. TeamfightTactics
  1108. Wukongmains
  1109. LeagueofFailures
  1110. LeagueOfMemes
  1111. ezrealmains
  1112. akalimains
  1113. yuumimains
  1114. YIMO
  1115. botlanetinder
  1116. supportlol
  1117. MordekaiserMains
  1118. YasuoMains
  1119. neekomains
  1120. ApheliousMains
  1121. LEMMiNO
  1122. space
  1123. wwiipics
  1124. u_alt_1236
  1125. FiftyFiftyDev
  1126. MercyClub
  1127. Normies
  1128. wooooshwith4os
  1129. DungeonsAndDragons
  1130. spongebob
  1131. FromTheDepths
  1132. SpaceflightSimulator
  1133. BeardedDragons
  1134. Spore
  1135. TeenAstronomy
  1136. HistoryPorn
  1137. u_OneStrikeyBoi
  1138. tylerthecreator
  1139. PictureRap
  1140. CryptoftheNecrodancer
  1141. Teens4Teens
  1142. freenagers
  1143. RamenRegime
  1144. SemenTeam
  1145. Pitland
  1146. insaneparents
  1147. 90DayFiance
  1148. Chinesetourists
  1149. interracialdating
  1150. PutAnEggOnIt
  1151. drawings
  1152. u_kayasphotographs
  1153. mildlycreepy
  1154. likeothergirls
  1155. kahootgames
  1156. PoliticalCompassMemes
  1157. mood
  1158. cfbsober
  1159. TIGoogled
  1160. fsusports
  1161. rolltide
  1162. NewYorkMets
  1163. HuntsvilleAlabama
  1164. nfl
  1165. minnesotavikings
  1166. KarmaCourt
  1167. CFBOffTopic
  1168. Teenageers
  1169. 3BeansAndABeerCap
  1170. popheadscirclejerk
  1171. PuppySmiles
  1172. Komi_san
  1173. freebies
  1174. zerowondering
  1175. 177013
  1176. untrustworthypoptarts
  1177. subredditcancer
  1178. SubwayHentai
  1179. TsundereSharks
  1180. bee_irl
  1181. banned
  1182. LGBTOpenModmail
  1183. u_Rulx8
  1184. The_Dedede
  1185. NintendoWaifus
  1186. pchelp
  1187. SweetHomeAlabama
  1188. SmallYoutubers
  1189. Advertise
  1190. Suddenlybabyimyours
  1191. Lolitary
  1192. PornoMemes
  1193. clevercomebacks
  1194. SpaceMemes
  1195. TankPorn
  1196. AbandonedPorn
  1197. Hbonds
  1198. Jewdank
  1199. LiveLikeLarry
  1200. birdswitharms
  1201. SchoolSystemBroke
  1202. popping
  1203. okboomerretard
  1204. plants
  1205. PhonesAreBad
  1206. SavageGarden
  1207. airplaneears
  1208. shutthefuckup
  1209. mermaids
  1210. OriginalCharacters
  1211. tuckedinkitties
  1212. RoastMyCat
  1213. curledfeetsies
  1214. Hellenism
  1215. yandere_simulator
  1216. catsareliquid
  1217. trichotillomania
  1218. lazarbeamsubmissions
  1219. dark_humor
  1220. fucksauerkraut
  1221. TheBeatles
  1222. produce
  1223. French
  1224. LilPeep
  1225. GitCommitDie
  1226. u_Brisingr_105
  1227. MarioMaker
  1228. gamingsuggestions
  1229. animation
  1230. FortniteCreative
  1231. ShrineOfFishstick
  1232. FortNiteMobile
  1233. FortniteSwitch
  1234. mariokart
  1235. u_Rodolfo20
  1236. jordancambridge
  1237. emu
  1238. beermoney
  1239. badminton
  1240. vlone
  1241. TimHortons
  1242. Repsneakers
  1243. TakashiMurakami
  1244. stamps
  1245. yeezys
  1246. DesignerReps
  1247. Rabbits
  1248. DesignMyRoom
  1249. LegitCheck
  1250. Hypebeasts
  1251. Bape
  1252. bapeheads
  1253. kaws
  1254. painting
  1255. vintage
  1256. insects
  1257. fossilid
  1258. Crystals
  1259. u_HanzAAli
  1260. PixelPeople
  1261. lifeisnotjust
  1262. RedditTrollss
  1263. notsureifgoodadvice
  1264. speedrun
  1265. gtavmodding
  1266. JJBA
  1267. whoooosh
  1268. Conrandom
  1269. Birbs
  1270. u_trash5652
  1271. BattleJackets
  1272. guitarlessons
  1273. virginvschad
  1274. Ghostbc
  1275. oldinternet
  1276. Moomins
  1277. Shuffles_Deck
  1278. Vent
  1279. Sims4
  1280. ShittyAdverts
  1281. saudiarabia
  1282. stopsmoking
  1283. ProRevenge
  1284. yaris
  1285. carporn
  1286. u_ThePinkPanda205
  1287. MadeOfStyrofoam
  1288. 5sos
  1289. GAAB350
  1290. formuladank
  1291. xqcow
  1292. whatsthisworth
  1293. GenZ
  1294. danduscirclejerk
  1295. andyterracianofanclub
  1296. radicalcentrism
  1297. killthosewhodisagree
  1298. onlinemischief
  1299. aromantic
  1300. u_TheAceOfToasters
  1301. javahelp
  1302. TheArcana
  1303. AquaticAsFuck
  1304. JohnMulaney
  1305. Assistance
  1306. doodles
  1307. sadcats
  1308. April11Gang
  1309. tomodachilife
  1310. Chonkers
  1311. Multicopter
  1312. ElectricSkateboarding
  1313. subaru
  1314. radiocontrol
  1315. Battlecars
  1316. CafeRacers
  1317. Jeep
  1318. AwesomeCarMods
  1319. rccars
  1320. whatsthissnake
  1321. CalamariRaceTeam
  1322. HotWheels
  1323. outrun
  1324. FPVvideos
  1325. PraiseTheCameraMan
  1326. saladsmiles
  1327. MobileGaming
  1328. techhelp
  1329. Competitiveoverwatch
  1330. Boblin
  1331. PlayINGRust
  1332. WarframeRunway
  1333. u_haggartt
  1334. earthbound
  1335. VizzedGames
  1336. OldReposts
  1337. misheard
  1338. area51
  1339. sharktank
  1340. awesome
  1341. u_PragatiBuffett
  1342. mediawiki
  1343. robertdowneyjr
  1344. JoJoMemes
  1345. u_Gameman740
  1346. ExpandDong
  1347. KarmaSacrifice
  1348. Minecraftbuilds
  1349. Foodlottery
  1350. MisfitShitposts
  1351. JellesMarbleRuns
  1352. Marblelympics
  1353. u_Donghoon
  1354. DhruvTheKid
  1355. RushWars
  1356. RicoGang
  1357. The4KMegaBox
  1358. shittybrawlstars
  1359. SmashLand
  1360. Cosmic_Clash
  1361. barleygang
  1362. DrMarioWorld
  1363. Archero
  1364. golfblitz
  1365. TickGang
  1366. NewSkaters
  1367. TheLetterH
  1368. Crushes
  1369. KarmaRoulette
  1370. u_Manasveer
  1371. UnexpectedThanos
  1372. depression_memes
  1373. u_Banapple101
  1374. drphil
  1375. ShittyPhotoshop
  1376. ft86
  1377. iilluminaughtii
  1378. showerthoughs
  1379. TheBrotherhoodofBros
  1380. MyBloodyValentine
  1381. SamandTolki
  1382. radiohead
  1383. radioheadcirclejerk
  1384. rantgrumps
  1385. googletranslate
  1386. ConspiracyGrumps
  1387. shoegaze
  1388. MichaelJackson
  1389. ClubPenguin
  1390. Toontown
  1391. rumney_marsh_academy
  1392. saplings
  1393. Pomade
  1394. playboicarti
  1395. Adorable_Animals
  1396. OverwatchUniversity
  1397. u_IOPasGhoulTrooper
  1398. CitadelOfSkins
  1399. heathernotpleased
  1400. comingout
  1401. ShitFortNiteBRSays
  1402. fortniteparentsclub
  1403. Cello
  1404. Golfwang
  1405. EveryoneIsAMod
  1406. LightModePatrol
  1407. JadenSmith
  1408. SuddenlyHitler
  1409. FilthyFrank
  1410. VeronaNJ
  1411. evilbuildings
  1412. cursedvideos
  1413. danktintinmemes
  1414. AwardSpeechEdits
  1415. AgainstHateSubreddits
  1416. deepweb
  1417. TeenagersTalkPolitics
  1418. shortcels
  1419. CURRENCY
  1420. WarriorCats
  1421. thedawnpatrol
  1422. upvote
  1423. theydidthemonstermath
  1424. u_ii_karmakun_ii
  1425. HumanTippyTaps
  1426. SamePicOfSteveHarvey
  1427. onionhate
  1428. redbubble
  1429. Tennessee
  1430. singapore
  1431. NuclearRevenge
  1432. JUSTNOMIL
  1433. jesuschristreddit
  1434. FlashTV
  1435. LegendsOfTomorrow
  1436. westworld
  1437. boringdystopia
  1438. dankjewishmemes
  1439. crazystories
  1440. calculators
  1441. LatinoPeopleTwitter
  1442. Dachshund
  1443. AdrenalinePorn
  1444. Dance
  1445. u_Santolmo
  1446. hardwaregore
  1447. dankgentina
  1448. fake90skids
  1449. reactionpics
  1450. ImagesYouCanHear
  1451. tf2shitposterclub
  1452. Nightmares
  1453. themonkeysotherpaw
  1454. transpositive
  1455. FifaCareers
  1456. PremierLeague
  1457. spiders
  1458. downvotesreally
  1459. coldshowers
  1460. puppy101
  1461. chanceme
  1462. trackandfield
  1463. architecture
  1464. orlando
  1465. ACT
  1466. YeetingKids
  1467. ParentsAreFuckingDumb
  1468. peopleofwalmart
  1469. donaldtrump
  1470. aethism
  1471. Relatable_RC
  1472. NewVegasMemes
  1473. CursedMinecraft
  1474. Area51memes
  1475. admincraft
  1476. fnv
  1477. humblebundles
  1478. blackmagicdesign
  1479. Crouton
  1480. promotereddit
  1481. itplaysit
  1482. youtubecomments
  1483. Ebay
  1484. gamecollecting
  1485. smashmemes
  1486. Mordhau
  1487. namenerds
  1488. greatpyrenees
  1489. sexyoffbrands
  1490. bottlephilia
  1491. u_limeylucio
  1492. sodapoppin
  1493. feminazi
  1494. yiffinhell
  1495. gravityfallsmemes
  1496. rmeme
  1497. u_I_am_Inevitable_Boi
  1498. awardbrag
  1499. redstone
  1500. Lightmodevsdark
  1501. PunPatrol
  1502. CrazyHand
  1503. e46
  1504. EngineBuilding
  1505. E46M3
  1506. Cartalk
  1507. KarmaConspiracy
  1508. MobileWallpaper
  1509. firstworldanarchists
  1510. Tabs
  1511. apolloapp
  1512. futurama
  1513. puzzles
  1514. SundaraKarma
  1515. Dreamers
  1516. programminghelp
  1517. firebrigade
  1518. drumcorpscirclejerk
  1519. fonts
  1520. OverwatchLeague
  1521. ChurchofFroppy
  1522. webhosting
  1523. Wordpress
  1524. PlantsVSZombies
  1525. StreetOutlaws
  1526. lgv30
  1527. Parents
  1528. MarioMaker2
  1529. TheWeeknd
  1530. u_Mind_The_PePe
  1531. DDLCMods
  1532. parrots
  1533. donthelpjustfilm
  1534. AccidentalRacism
  1535. u_Jimcuchim
  1536. Teachers
  1537. Amberlynn
  1538. TaylorSwift
  1539. UnlockedRedditAds
  1540. GTBAE
  1541. TouchThaFishy
  1542. That70sRetard
  1543. Indiana
  1544. ARK
  1545. shitpostbound
  1546. Philippines
  1547. DoctorBright
  1548. goodboys
  1549. blop
  1550. ThatsWhatSheSaid
  1551. watch_dogs
  1552. unexpectedoffice
  1553. birthofasub
  1554. unexpectedskyrim
  1555. Peopleoftwitch
  1556. ModSupport
  1557. CoolPetNames
  1558. amazonreviews
  1559. TwoRedditorsOneCup
  1560. CameHereToSayThis
  1561. WOSH
  1562. smartwatch
  1563. Reddit69420
  1564. u_Its-Ya-Boi-Satan
  1565. Boomer
  1566. InstaPoliceHere
  1567. FanStorytime
  1568. stories
  1569. bullying
  1570. MachineLearning
  1571. redsox
  1572. PrettyGirls
  1573. ChickenRunsAtMidnight
  1574. LimeOfTheCentury
  1575. SnapLenses
  1576. IRLEasterEggs
  1577. garfield
  1578. OkBubbyRetard
  1579. Ascendedfaketexts
  1580. matt
  1581. Patriots
  1582. nonutnovember
  1583. u_u-u_u-u_u
  1584. HeadphoneAdvice
  1585. SequelMemes
  1586. u_2006pow
  1587. YeetlordYT
  1588. CarlTheHedgehog
  1589. tall
  1590. aftergifted
  1591. EUR_irl
  1592. teenmartialarts
  1593. FostTalicska
  1594. u_Hm_Moonlight
  1595. MildlyVandalised
  1596. PhantomForces
  1597. OfficialSlazo
  1598. AJR
  1599. pokemongotrades
  1600. FreePlatinum
  1601. SnowTheGame
  1602. ggggg
  1603. GayTeensGoneMild
  1604. ruralporn
  1605. CityPorn
  1606. Surface
  1607. flightsim
  1608. AndroidWear
  1609. u_GamerWick
  1610. Myles_is_lonely
  1611. u_lesqie
  1612. UnexpectedHamilton
  1613. ComedySeasoning
  1614. AmateurPhotography
  1615. oldpeoplefacebook
  1616. Ticos
  1617. LemonySnicket
  1618. accidentalswastica
  1619. VACCINES
  1620. nealstephenson
  1621. sexualhealth
  1622. Forgotten_Realms
  1623. makeaband
  1624. AskLosAngeles
  1625. musicians
  1626. Guiltygear
  1627. MyHeroAcademiaRPG
  1628. AdventurersLeague
  1629. sallyface
  1630. TikTokCringe
  1631. darkmemes
  1632. EntitledBitch
  1633. Trufemcels
  1634. sad
  1635. PanPorn
  1636. BeautyBoxes
  1637. Ipsy
  1638. u_cottonorwool
  1639. pcmusic
  1640. intermittentfasting
  1641. angry
  1642. socialanxiety
  1643. u_Jumpspider74
  1644. cowboys
  1645. Mavericks
  1646. dolphinconspiracy
  1647. rule34
  1648. ImaginaryHorrors
  1649. DarkDeception
  1650. fuckea
  1651. u_pupperoni-421
  1652. coloringcorruptions
  1653. fbla
  1654. Amd
  1655. ChivalryGame
  1656. DrDisrespectLive
  1657. intel
  1658. esports
  1659. G502MasterRace
  1660. drumcorps
  1661. HeartHorny
  1662. u_crusty_bread_crust
  1663. holesome
  1664. oddlypacific
  1665. maths
  1666. demons
  1667. Physics
  1668. MusicianTeens
  1669. teenagerswithoutrules
  1670. DontPutItInYourAss
  1671. vro
  1672. traadustCrusaders
  1673. yugioh
  1674. BleachBraveSouls
  1675. okayfacebookmemes
  1676. realdonald_forreal
  1677. berserklejerk
  1678. Berserk
  1679. mangarockapp
  1680. MotorcyclePorn
  1681. ExNoContact
  1682. forza
  1683. Thunder
  1684. nbacirclejerk
  1685. ShitMomGroupsSay
  1686. strangehabits
  1687. madladcrusaders
  1688. u_ThatBoi1994
  1689. RedDeadOnline
  1690. u_WitnessMe015
  1691. communism
  1692. AgeplayPenPals
  1693. Poem_for_your_sprog
  1694. Polytopia
  1695. KingdomsandCastles
  1696. u_tarka_d0_sera
  1697. catfaceplant
  1698. AskQuija
  1699. educationalgifs
  1700. Rubiks_Cubes
  1701. u_WCon69
  1702. PoliticalMemes
  1703. Corridor
  1704. postprocessing
  1705. askspain
  1706. Svenska
  1707. buffy
  1708. newjersey
  1709. succulents
  1710. learnspanish
  1711. kimbra
  1712. blackmirror
  1713. john
  1714. asklaw
  1715. CardiB
  1716. ForeverAloneDating
  1717. BruceCampbell
  1718. deadrising
  1719. police
  1720. thebeachboys
  1721. LeavingNeverlandLies
  1722. LeavingNeverlandHBO
  1723. LeavingNeverland
  1724. ForeverAlone
  1725. DownRightAwesome
  1726. ThanosMC
  1727. BigBirdCult
  1728. Fantaisgood
  1729. letsbone
  1730. SuddenlyAnimalAbuse
  1731. G59
  1732. Bexey
  1733. Tupac
  1734. bangladesh
  1735. bodybuilding
  1736. GymMemes
  1737. CowbellyTV
  1738. u_canineswine
  1739. TeenStyle
  1740. short
  1741. BossfightUniverse
  1742. WallpaperRequests
  1743. ibxtoycat
  1744. toycat
  1745. RareEmojis
  1746. expectedSpaceBalls
  1747. shittymcsuggestions
  1748. PokemonGOMemes
  1749. grandayy
  1750. grandpajoehate
  1751. deadmeatmemes
  1752. FanTheories
  1753. CrusadeMemes
  1754. redneckelonmusk
  1755. canconfirmimanaussie
  1756. unexpectedtfs
  1757. SubsIWishWereReal
  1758. iFunny
  1759. wallpapers
  1760. rasdash
  1761. opensource
  1762. raspberry_pi
  1763. grandrapids
  1764. thegrandtour
  1765. DeepFriedLinuxMemes
  1766. Michigan
  1767. Spongebuntu
  1768. Health
  1769. stylish
  1770. supercars
  1771. Autos
  1772. StuffOnCats
  1773. 2healthbars
  1774. mazda
  1775. amishadowbanned
  1776. toronto
  1777. canada
  1778. freevbucks
  1779. AntiAntiAntiAntiJokes
  1780. antiantiantijokes
  1781. Birthdaytwins
  1782. mildyinteresting
  1783. yesyesyesyesyesnoyes
  1784. tifurb
  1785. RoastMyHistory
  1786. badpuns
  1787. Rainforest
  1788. u_EnderCreep72
  1789. TheOutsiders
  1790. JohnWick
  1791. starbase
  1792. GTA
  1793. bully
  1794. MMA
  1795. karate
  1796. india
  1797. StreetFights
  1798. NoglaOfficial
  1799. burgers
  1800. PeterExplainsTheJoke
  1801. amateur_boxing
  1802. Jasiah
  1803. travisscott
  1804. FortnitePhotography
  1805. LilNasX
  1806. FortniteLeaks
  1807. CallMeKevin
  1808. Idubbbz
  1809. memesofthedank
  1810. u_nibbapusspuss69
  1811. FloridaMemes
  1812. Avengers
  1813. cursedjojo
  1814. Csgohacks
  1815. u_insane_playzYT
  1816. SimplyFortnite
  1817. TeachersRFuckingDum
  1818. django
  1819. amipregnant
  1820. IncelTeens
  1821. fuck_r_teenagers
  1822. wherestheredcircle
  1823. MURICA
  1824. SrGrafo
  1825. dev_ed
  1826. TheFutureIsWomen
  1827. TheFutureIsWoman
  1828. TheFutureIsMale
  1829. wewantpornofthis
  1830. BothSidesPolitics
  1831. iamverybedass
  1832. uneducatedopinions
  1833. webdev
  1834. perfectlycutspurts
  1835. u_msterchief82
  1836. hemitite
  1837. ArakiForgot
  1838. SubtoPewDiePieMC
  1839. BirdsForScale
  1840. aLOTofKARMAindays
  1841. honeygetmygun
  1842. thirdsub
  1843. cursed_posts
  1844. MyHeroAcademia
  1845. Meme_colesium
  1846. timetravel
  1847. WordAvalanches
  1848. gravityfalls
  1849. u_Niggword69
  1850. ConfusedBoners
  1851. DonutOperator
  1852. u_DoxxingAngels
  1853. Jazz
  1854. percussion
  1855. WeirdSheep
  1856. BisexualTeens
  1857. Adulting
  1858. MensLib
  1859. NewDM
  1860. Paladins
  1861. CountOnceADay
  1862. TheOnionUnlimited
  1863. ComedyFlogging
  1864. FuckNestle
  1865. 8BitGang
  1866. FrankGang
  1867. ColtGang
  1868. yescompanionimbecil
  1869. ChurchOfMineta
  1870. YouFellForItFool
  1871. Super_Cube_Cavern
  1872. dynamikegang
  1873. ZoeIsYourHomie
  1874. u_PlusTrash7
  1875. ZaryaMains
  1876. SleepingSoulmates
  1877. JunkRatMains
  1878. Awww
  1879. RoadhogMains
  1880. fo76
  1881. MK11PremiumStore
  1882. MKMemes
  1883. KombatFashion
  1884. aliens
  1885. sixthworldproblems
  1886. Switch
  1887. thebindingofisaac
  1888. BattlefieldCosmetics
  1889. ww2
  1890. LaCasaDePapel
  1891. PSNFriends
  1892. edgydarkdankmemes
  1893. AssassinsCreedOdyssey
  1894. u_Francischelo
  1895. ww2memes
  1896. DrunkDrunkenPorn
  1897. submechanophobia
  1898. athiesm
  1899. awakened
  1900. Pics_of_your_uncle
  1901. nikerunclub
  1902. firstimpression
  1903. Kikpals
  1904. Ultraboost
  1905. Toyota
  1906. UrbanHell
  1907. avfc
  1908. 6thForm
  1909. BassGuitar
  1910. greenday
  1911. chemistry
  1912. TokyoGhoul
  1913. u_Hate_-_millenials
  1914. ChippyGaming
  1915. USNSCC
  1916. unsettling
  1917. navy
  1918. mkxmobile
  1919. notcrappydesign
  1920. u_rd741904
  1921. neverendinggifs
  1922. beta
  1923. StrangerThingsMemes
  1924. u_Mr_Wolf7
  1925. ThatsInsane
  1926. u_Ens-Causa-Sui
  1927. u_SnakesAndTanksOhMy
  1928. aquaponics
  1929. glossier
  1930. ImagineDragonsTeens
  1931. heyrolemodel
  1932. omarapollo
  1933. LANY
  1934. WhereInTheDisneyWorld
  1935. funnystories
  1936. SmallDeliMeats
  1937. codyko
  1938. watercooling
  1939. nspire
  1940. GBA4iOS
  1941. xayahmains
  1942. ElectricalEngineering
  1943. walkingwarrobots
  1944. FL_Studio
  1945. graphic_design
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MFM5 EA Review: Does THIS Real Money Forex Advisor Work? FOREX: USING FOREX TO FUND YOUR DREAMS Forex Growth Bot Review  How Does Forex Growth Bot Work? New Science of Forex Trading Review How To Avoid Losing Trades In Forex: Step By Step Demo Preview Forex Megaliner Robot Review Wonder Clicks Review - Wonder Click System New Science of Forex Trading Review Guide เรียนไบนารี่ออฟชั่น 9 วิธีใช้ T&C Wonder best forex strategy 2019 - best forex system 2019 that works- agimat trading review

And given that it involves medium-scale risks and a high potential for substantial earnings, it is no wonder why more and more traders prefer forex trading over other commodities. These days, private individuals are also engaging in forex trading and with the help of different trading programs, these people are able to participate in active international markets – giving professional traders ... The first ten days of Forex Wonder, I had no trades. Today I finally had a trade and I found out the system uses limit orders with a martingale strategy. I was using it on a $250 account. It placed a market order for .02 lots and sell limit orders of .01 lot, .04 lots, and .08 lots. All the limit orders were pretty close to the market price. So, as you can imagine, if the EUR/USD continues up ... Little wonder it has been recognized with several industry awards including ‘The Best cTrader Broker’ at the Forex Awards 2020, and the ‘Best Trade Execution”, awarded by WorldFinance, among others. Fondex Review – Broker Awards Fondex Review Introduction. In this Fondex review, we will take a look at some of the most important factors worth considering when choosing a forex broker ... I wonder if any one can make profit at this broker. I am pretty sure, that the most positive reviews here are from employees of this company. they stalk such forums. but we are here to give a feedback of experience. so if you don't beleive me and the other real reviews then go ahead and see your self. The Forex Wonder Reviews Are you wondering about how The Forex Wonder robot works? I knew that the concept of this trading software really seems too good to be true. In reality, there are more and more of such automated trading robots called Expert Advisors being sold on the Internet, but most of them are simply useless according to my test results. Does it really deliver the profit result in ... Sometimes I wonder how u think the way you think when reading charts. Your real life stories ALWAYS tie perfectly into forex, always on point!!!! I am definitely going to become a lifetime student . Well worth it. Man I can go on and on but I don’t want to write you a novel my brother 🤣🤣 once again THANKYOU‼️‼️ GOD BLESS YOU AND YOUR FAM, I’ll be back First launched in 2005, MetaTrader4 (MT4) is the platform of choice for more than 80% of all traders around the globe. So, it is no wonder that more than 10 years after its launch, the MT4 is still offered by the majority of forex brokers. Medech.co is a Forex broker that claims to be one of Europe’s leading financial institutions, offering the best trading conditions and an FSCS protection of up to 85 ... Urban Forex is the best forex training program for newbies and established traders. I started my forex quest as a total newbie about 3 years ago taking each of the courses from MPA to 4CB and now the Iconic Trader Programme. The courses are well structured, paced and most of all presented in a clear manner with examples. Navin's unique style is easy to follow where concepts are presented in a ... Reviews of Forex Products and Services. Home Funded Accounts Forex Smart Trade Review: the Paul Macmann Scam! Forex Smart Trade Review: the Paul Macmann Scam! April 24, 2020 · by TEFX Team · 3. Welcome to the Forex Smart Trade review. Forex Smart Trade is owned and operated by Paul Macmann. Forex Smart Trade offers a day trading course on currency trading and also claims to fund students up ...

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MFM5 EA Review: Does THIS Real Money Forex Advisor Work?

New Science of Forex Trading review Guide has honestly evaluated the strengths and weaknesses of the New Science of Forex Trading software which has been a talk going around in circles where ... MFM5 EA is a real money forex advisor created by a programmer who... Skip navigation Sign in. Search. Loading... Close. This video is unavailable. Watch Queue Queue. Watch Queue Queue. Remove all ... Wonder Clicks by Ryan Harris review Wonder Clicks Review 2015 - Discover the Truth about Wonder Clicks in this Wonder Clicks review! So What is Wonder Clicks Software all about? Does Wonder Clicks ... If you have been a victim of the Forex industry and have bought courses, indicators, alerts, Forex robots, etc but ended up with nothing but frustration and disappointment, you may actually be ... In this short video I did a forex growth bot review. At around the 00:27 I talked about it in detail. Here is some more information on forex growth bot: "Many people who are interested in the ... In our Agimat Trading System Review, our proven results are included in the video, and we've tested it thoroughly over the past 18 weeks - that's why we rate this the Best Forex System 2019. สอนวิธีใช้ T&C Wonder Indicator ในตลาดไบนารี่ออฟชั่น และ forex https://www.thailandoption.com New Science of Forex Trading Review Get 23 Mega Bonus here : https://goo.gl/wwmSxr Instant Access click here : https://goo.gl/wwmSxr if you are prompt just c... Forex can be the vehicle to fund your dreams. superezforex.com [email protected] You may wonder what we can offer you in Forex niche where one would think is nothing left to talk about. But now I am glad to present this unconventional software to help you in trade without ...

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