What Is the Difference Between an E-mini and a Mini Forex ...

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

Almost every day people come to this subreddit asking the same basic questions over and over again. I've put this guide together to point you in the right direction and help you get started on your forex journey.

A quick background on me before you ask: My name is Bob, I'm based out of western Canada. I started my forex journey back in January 2018 and am still learning. However I am trading live, not on demo accounts. I also code my own EA's. I not certified, licensed, insured, or even remotely qualified as a professional in the finance industry. Nothing I say constitutes financial advice. Take what I'm saying with a grain of salt, but everything I've outlined below is a synopsis of some tough lessons I've learned over the last year of being in this business.

LET'S GET SOME UNPLEASANTNESS OUT OF THE WAY

I'm going to call you stupid. I'm also going to call you dumb. I'm going to call you many other things. I do this because odds are, you are stupid, foolish,and just asking to have your money taken away. Welcome to the 95% of retail traders. Perhaps uneducated or uninformed are better phrases, but I've never been a big proponent of being politically correct.

Want to get out of the 95% and join the 5% of us who actually make money doing this? Put your grown up pants on, buck up, and don't give me any of this pc "This is hurting my feelings so I'm not going to listen to you" bullshit that the world has been moving towards.

Let's rip the bandage off quickly on this point - the world does not give a fuck about you. At one point maybe it did, it was this amazing vision nicknamed the American Dream. It died an agonizing, horrible death at the hand of capitalists and entrepreneurs. The world today revolves around money. Your money, my money, everybody's money. People want to take your money to add it to theirs. They don't give a fuck if it forces you out on the street and your family has to live in cardboard box. The world just stopped caring in general. It sucks, but it's the way the world works now. Welcome to the new world order. It's called Capitalism.

And here comes the next hard truth that you will need to accept - Forex is a cruel bitch of a mistress. She will hurt you. She will torment you. She will give you nightmares. She will keep you awake at night. And then she will tease you with a glimmer of hope to lure you into a false sense of security before she then guts you like a fish and shows you what your insides look like. This statement applies to all trading markets - they are cruel, ruthless, and not for the weak minded.

The sooner you accept these truths, the sooner you will become profitable. Don't accept it? That's fine. Don't bother reading any further. If I've offended you I don't give a fuck. You can run back home and hide under your bed. The world doesn't care and neither do I.

For what it's worth - I am not normally an major condescending asshole like the above paragraphs would suggest. In fact, if you look through my posts on this subreddit you will see I am actually quite helpful most of the time to many people who come here. But I need you to really understand that Forex is not for most people. It will make you cry. And if the markets themselves don't do it, the people in the markets will.

LESSON 1 - LEARN THE BASICS

Save yourself and everybody here a bunch of time - learn the basics of forex. You can learn the basics for free - BabyPips has one of the best free courses online which explains what exactly forex is, how it works, different strategies and methods of how to approach trading, and many other amazing topics.

You can access the BabyPips course by clicking this link: https://www.babypips.com/learn/forex

Do EVERY course in the School of Pipsology. It's free, it's comprehensive, and it will save you from a lot of trouble. It also has the added benefit of preventing you from looking foolish and uneducated when you come here asking for help if you already know this stuff.

If you still have questions about how forex works, please see the FREE RESOURCES links on the /Forex FAQ which can be found here: https://www.reddit.com/Forex/wiki/index

Quiz Time
Answer these questions truthfully to yourself:

-What is the difference between a market order, a stop order, and a limit order?
-How do you draw a support/resistance line? (Demonstrate it to yourself)
-What is the difference between MACD, RSI, and Stochastic indicators?
-What is fundamental analysis and how does it differ from technical analysis and price action trading?
-True or False: It's better to have a broker who gives you 500:1 margin instead of 50:1 margin. Be able to justify your reasoning.

If you don't know to answer to any of these questions, then you aren't ready to move on. Go back to the School of Pipsology linked above and do it all again.

If you can answer these questions without having to refer to any kind of reference then congratulations, you are ready to move past being a forex newbie and are ready to dive into the wonderful world of currency trading! Move onto Lesson 2 below.

LESSON 2 - RANDOM STRANGERS ARE NOT GOING TO HELP YOU GET RICH IN FOREX

This may come as a bit of a shock to you, but that random stranger on instagram who is posting about how he is killing it on forex is not trying to insprire you to greatness. He's also not trying to help you. He's also not trying to teach you how to attain financial freedom.

99.99999% of people posting about wanting to help you become rich in forex are LYING TO YOU.

Why would such nice, polite people do such a thing? Because THEY ARE TRYING TO PROFIT FROM YOUR STUPIDITY.

Plain and simple. Here's just a few ways these "experts" and "gurus" profit from you:


These are just a few examples. The reality is that very few people make it big in forex or any kind of trading. If somebody is trying to sell you the dream, they are essentially a magician - making you look the other way while they snatch your wallet and clean you out.

Additionally, on the topic of fund managers - legitimate fund managers will be certified, licensed, and insured. Ask them for proof of those 3 things. What they typically look like are:

If you are talking to a fund manager and they are insisting they have all of these, get a copy of their verification documents and lookup their licenses on the directories of the issuers to verify they are valid. If they are, then at least you are talking to somebody who seems to have their shit together and is doing investment management and trading as a professional and you are at least partially protected when the shit hits the fan.


LESSON 3 - UNDERSTAND YOUR RISK

Many people jump into Forex, drop $2000 into a broker account and start trading 1 lot orders because they signed up with a broker thinking they will get rich because they were given 500:1 margin and can risk it all on each trade. Worst-case scenario you lose your account, best case scenario you become a millionaire very quickly. Seems like a pretty good gamble right? You are dead wrong.

As a new trader, you should never risk more than 1% of your account balance on a trade. If you have some experience and are confident and doing well, then it's perfectly natural to risk 2-3% of your account per trade. Anybody who risks more than 4-5% of their account on a single trade deserves to blow their account. At that point you aren't trading, you are gambling. Don't pretend you are a trader when really you are just putting everything on red and hoping the roulette ball lands in the right spot. It's stupid and reckless and going to screw you very quickly.

Let's do some math here:

You put $2,000 into your trading account.
Risking 1% means you are willing to lose $20 per trade. That means you are going to be trading micro lots, or 0.01 lots most likely ($0.10/pip). At that level you can have a trade stop loss at -200 pips and only lose $20. It's the best starting point for anybody. Additionally, if you SL 20 trades in a row you are only down $200 (or 10% of your account) which isn't that difficult to recover from.
Risking 3% means you are willing to lose $60 per trade. You could do mini lots at this point, which is 0.1 lots (or $1/pip). Let's say you SL on 20 trades in a row. You've just lost $1,200 or 60% of your account. Even veteran traders will go through periods of repeat SL'ing, you are not a special snowflake and are not immune to periods of major drawdown.
Risking 5% means you are willing to lose $100 per trade. SL 20 trades in a row, your account is blown. As Red Foreman would call it - Good job dumbass.

Never risk more than 1% of your account on any trade until you can show that you are either consistently breaking even or making a profit. By consistently, I mean 200 trades minimum. You do 200 trades over a period of time and either break-even or make a profit, then you should be alright to increase your risk.

Unfortunately, this is where many retail traders get greedy and blow it. They will do 10 trades and hit their profit target on 9 of them. They will start seeing huge piles of money in their future and get greedy. They will start taking more risk on their trades than their account can handle.

200 trades of break-even or profitable performance risking 1% per trade. Don't even think about increasing your risk tolerance until you do it. When you get to this point, increase you risk to 2%. Do 1,000 trades at this level and show break-even or profit. If you blow your account, go back down to 1% until you can figure out what the hell you did differently or wrong, fix your strategy, and try again.

Once you clear 1,000 trades at 2%, it's really up to you if you want to increase your risk. I don't recommend it. Even 2% is bordering on gambling to be honest.


LESSON 4 - THE 500 PIP DRAWDOWN RULE

This is a rule I created for myself and it's a great way to help protect your account from blowing.

Sometimes the market goes insane. Like really insane. Insane to the point that your broker can't keep up and they can't hold your orders to the SL and TP levels you specified. They will try, but during a flash crash like we had at the start of January 2019 the rules can sometimes go flying out the window on account of the trading servers being unable to keep up with all the shit that's hitting the fan.

Because of this I live by a rule I call the 500 Pip Drawdown Rule and it's really quite simple - Have enough funds in your account to cover a 500 pip drawdown on your largest open trade. I don't care if you set a SL of -50 pips. During a flash crash that shit sometimes just breaks.

So let's use an example - you open a 0.1 lot short order on USDCAD and set the SL to 50 pips (so you'd only lose $50 if you hit stoploss). An hour later Trump makes some absurd announcement which causes a massive fundamental event on the market. A flash crash happens and over the course of the next few minutes USDCAD spikes up 500 pips, your broker is struggling to keep shit under control and your order slips through the cracks. By the time your broker is able to clear the backlog of orders and activity, your order closes out at 500 pips in the red. You just lost $500 when you intended initially to only risk $50.

It gets kinda scary if you are dealing with whole lot orders. A single order with a 500 pip drawdown is $5,000 gone in an instant. That will decimate many trader accounts.

Remember my statements above about Forex being a cruel bitch of a mistress? I wasn't kidding.

Granted - the above scenario is very rare to actually happen. But glitches to happen from time to time. Broker servers go offline. Weird shit happens which sets off a fundamental shift. Lots of stuff can break your account very quickly if you aren't using proper risk management.


LESSON 5 - UNDERSTAND DIFFERENT TRADING METHODOLOGIES

Generally speaking, there are 3 trading methodologies that traders employ. It's important to figure out what method you intend to use before asking for help. Each has their pros and cons, and you can combine them in a somewhat hybrid methodology but that introduces challenges as well.

In a nutshell:

Now you may be thinking that you want to be a a price action trader - you should still learn the principles and concepts behind TA and FA. Same if you are planning to be a technical trader - you should learn about price action and fundamental analysis. More knowledge is better, always.

With regards to technical analysis, you need to really understand what the different indicators are tell you. It's very easy to misinterpret what an indicator is telling you, which causes you to make a bad trade and lose money. It's also important to understand that every indicator can be tuned to your personal preferences.

You might find, for example, that using Bollinger Bands with the normal 20 period SMA close, 2 standard deviation is not effective for how you look at the chart, but changing that to say a 20 period EMA average price, 1 standard deviation bollinger band indicator could give you significantly more insight.


LESSON 6 - TIMEFRAMES MATTER

Understanding the differences in which timeframes you trade on will make or break your chosen strategy. Some strategies work really well on Daily timeframes (i.e. Ichimoku) but they fall flat on their face if you use them on 1H timeframes, for example.

There is no right or wrong answer on what timeframe is best to trade on. Generally speaking however, there are 2 things to consider:


If you are a total newbie to forex, I suggest you don't trade on anything shorter than the 1H timeframe when you are first learning. Trading on higher timeframes tends to be much more forgiving and profitable per trade. Scalping is a delicate art and requires finesse and can be very challenging when you are first starting out.


LESSON 7 - AUTOBOTS...ROLL OUT!

Yeah...I'm a geek and grew up with the Transformers franchise decades before Michael Bay came along. Deal with it.

Forex bots are called EA's (Expert Advisors). They can be wonderous and devastating at the same time. /Forex is not really the best place to get help with them. That is what /algotrading is useful for. However some of us that lurk on /Forex code EA's and will try to assist when we can.

Anybody can learn to code an EA. But just like how 95% of retail traders fail, I would estimate the same is true for forex bots. Either the strategy doesn't work, the code is buggy, or many other reasons can cause EA's to fail. Because EA's can often times run up hundreds of orders in a very quick period of time, it's critical that you test them repeatedly before letting them lose on a live trading account so they don't blow your account to pieces. You have been warned.

If you want to learn how to code an EA, I suggest you start with MQL. It's a programming language which can be directly interpretted by Meta Trader. The Meta Trader terminal client even gives you a built in IDE for coding EA's in MQL. The downside is it can be buggy and glitchy and caused many frustrating hours of work to figure out what is wrong.

If you don't want to learn MQL, you can code an EA up in just about any programming language. Python is really popular for forex bots for some reason. But that doesn't mean you couldn't do it in something like C++ or Java or hell even something more unusual like JQuery if you really wanted.

I'm not going to get into the finer details of how to code EA's, there are some amazing guides out there. Just be careful with them. They can be your best friend and at the same time also your worst enemy when it comes to forex.

One final note on EA's - don't buy them. Ever. Let me put this into perspective - I create an EA which is literally producing money for me automatically 24/5. If it really is a good EA which is profitable, there is no way in hell I'm selling it. I'm keeping it to myself to make a fortune off of. EA's that are for sale will not work, will blow your account, and the developer who coded it will tell you that's too darn bad but no refunds. Don't ever buy an EA from anybody.

LESSON 8 - BRING ON THE HATERS

You are going to find that this subreddit is frequented by trolls. Some of them will get really nasty. Some of them will threaten you. Some of them will just make you miserable. It's the price you pay for admission to the /Forex club.

If you can't handle it, then I suggest you don't post here. Find a more newbie-friendly site. It sucks, but it's reality.

We often refer to trolls on this subreddit as shitcunts. That's your word of the day. Learn it, love it. Shitcunts.


YOU MADE IT, WELCOME TO FOREX!

If you've made it through all of the above and aren't cringing or getting scared, then welcome aboard the forex train! You will fit in nicely here. Ask your questions and the non-shitcunts of our little corner of reddit will try to help you.

Assuming this post doesn't get nuked and I don't get banned for it, I'll add more lessons to this post over time. Lessons I intend to add in the future:
If there is something else you feel should be included please drop a comment and I'll add it to the above list of pending topics.

Cheers,

Bob



submitted by wafflestation to Forex [link] [comments]

Brexit Rally Hopes For GBP Forex on Friday

There has already been a mini uplift for the Sterling Pound GBP, at least versus Euro from approx. £=1.16 Euros to £=1.19, and currently at 1.18.
My thesis is that medium term fundamentals are stronger for GBP from prospects as a smaller nimbler trading nation able to cut deals internationally. Which has been a determinant factor of economic growth since the "Greatest" Depression of 2007-09. Witness Singapore, Switzerland, Taiwan, S.Korea etc. The global slump in car manufacturing and sales will hurt Germany, the engine of European growth.
Weighed against this fundamental is the near term i.e. on Brexit Day Friday and the following trading days in the forex / currency markets: are the Goldman Sachs cabal of this world going to SELL DOWN the GBP as punishment for Brexit, which somewhat thwarts globalists' globalisation ambitions of one world government?
As past 4 years since EU referendum shows the propaganda against the British peoples slim "Leave" result was and is highly negative.
GBB vs. Euro
submitted by LineBallTennis to investing [link] [comments]

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  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
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  1926. u_Ens-Causa-Sui
  1927. u_SnakesAndTanksOhMy
  1928. aquaponics
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  1930. ImagineDragonsTeens
  1931. heyrolemodel
  1932. omarapollo
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  1934. WhereInTheDisneyWorld
  1935. funnystories
  1936. SmallDeliMeats
  1937. codyko
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  1939. nspire
  1940. GBA4iOS
  1941. xayahmains
  1942. ElectricalEngineering
  1943. walkingwarrobots
  1944. FL_Studio
  1945. graphic_design
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Scalping E-Mini S&P500: Day Trading Strategy - YouTube Why I Open MULTIPLE Trades vs One Trade - So Darn Easy Forex FOREX ou Indice no Brasil? - 20150302 - #167 Forex For Beginners Part 5 - What is Lot? Micro, mini, and ... Day Trading E Mini Futures  Live Scalping 006 - YouTube Trading Futures vs Trading Forex Trading Forex vs Trading Currency Futures Sam Seiden: Spot Forex vs Forex Futures

Forex Micro Accounts. Some forex brokers are now offering Forex micro accounts, which allow traders to trade in much smaller increments. A micro lot is 1,000 units of the base currency where a standard is 100,000 and mini is 10,000. Micro accounts are currency trading accounts that allow for trading to be done in increments of 1,000 units. They often have an upwards limit on trade size and ... As forex industry was evolving, many brokers began to think of introducing the currency markets to average traders and of making trading forex accessible for average or small clients. This is why such concepts as trade on margin as well as leverage were introduced. Leverage and Mini Accounts. Oanda vs Forex.com If you're choosing between Oanda and Forex.com, we've compared hundreds of data points side-by-side to make finding the right broker for you easier. We've also displayed one of our most popular brokers, XTB, as another alternative to consider. Forex Mini Account: A type of brokerage account that is used by beginner traders looking to enter the foreign exchange market. A forex mini account allows the investor to take a smaller position ... Mini Forex Account. Foreign currency exchange -- Forex -- is traded through independent brokers. The standard Forex lot is 100,000 of the base currency in a traded currency pair. Forex Mini Account vs. Standard Account. The mini and standard categories differ in many ways. With the standard account, you can trade with a minimum of $1000 to a maximum of $10,000. The initial funds’ value you deposit differs based on the broker. Unlike mini accounts, the gains here are bigger as the deposit size and leverage enables bigger profits. Brokers also offer more advanced ... Micro lots vs Micro Accounts. Delving deeper into the trading experience to find out exactly what are micro-lots and micro-accounts and what can you as a forex trader get from them, we can see that micro lots allow you to trade for a minimal fraction of a standard lot. As mentioned above, a micro lot is 0.01 of a standard lot size. Taking this into account, where a standard lot on any of the ... Forex Trading - Mini-account VS Standard Account. By: Sam Beatson: In forex, for the retail investor, things are totally different than the banks and institutions who trade with each other 24 hours per day on a daily basis and in the millions with actual transactions occuring (usually 2-3 days later also known as the Spot Value). Investment banks will take out a credit check on each other, a ... Your Guide to Forex Lot Sizes: Mini, Micro, and Standard Lot. If you wish to trade the forex market, one of the first things you have to learn is the concept of lot size. The concept lies at the center of how you manage the risks involved in trading the forex market, which, in turn, determines your long-term success in the game. As you will get to realize later in this post, understanding and ... Then there are mini lots. A forex mini lot will usually consist of 10,000 units of the base currency. This lot size seems especially popular with many retail forex traders since it offers a useful combination of position size flexibility and affordability. Learn What Works and What Doesn’t In the Forex Markets….Join My Free Newsletter Packed with Actionable Tips and Strategies To Get Your ...

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Scalping E-Mini S&P500: Day Trading Strategy - YouTube

E-mini Futures vs Forex, Which are Better to Trade? ☝️ - Duration: 9:02. UKspreadbetting 5,721 views. 9:02. Sam Seiden: FX Trading for Income and Wealth - Duration: 42:28. ... DAY TRADE: FOREX OU BOLSA DE VALORES (Mini Índice, Dólar e Ações) - Duration: 14:10. Curinga Econômico 17,910 views. 14:10. QUAL o tamanho do meu LOTE para uma CONTA de USD 1k? - 20141217 ... in this video part, i am am talking about, what is lot? what are the three different types of account? Standard Accounts. Mini Accounts, And micro Accounts. ... LiveScalping documents my journey trading with a full time job to trading as a full time job. You'll get to see all of my live setups with commentary on my t... Trading Futures vs Trading Forex will be the topic of this video. In the past, I have traded both products, and for awhile I preferred trading Forex, so I gave up Trading the Futures market for ... The So Darn Easy Forex™ Movement help THOUSANDS of Forex traders from all across the world achieve extraordinary results in long term and short term trades. ... This week's video will be on Trading Forex vs. Trading Currency Futures. As you will learn in this video, there are several differences between trading forex... https://daytradetowin.com Hey all you Day Trading winners out there! Today we're back with another scalping and day trading video. Today we're doing another ...

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