TL;DR - I will try and flip an account from $50 or less to $1,000 over 2019. I will post all my account details so my strategy can be seen/copied. I will do this using only three or four trading setups. All of which are simple enough to learn. I will start trading on 10th January.submitted by inweedwetrust to Forex [link] [comments]
As I see it there are two mains ways to understand how to make money in the markets. The first is to know what the biggest winners in the markets are doing and duplicating what they do. This is hard. Most of the biggest players will not publicly tell people what they are doing. You need to be able to kinda slide in with them and see if you can pick up some info. Not suitable for most people, takes a lot of networking and even then you have to be able to make the correct inferences.
Another way is to know the most common trades of losing traders and then be on the other side of their common mistakes. This is usually far easier, usually everyone knows the mind of a losing trader. I learned about what losing traders do every day by being one of them for many years. I noticed I had an some sort of affinity for buying at the very top of moves and selling at the very bottom. This sucked, however, is was obvious there was winning trades on the other side of what I was doing and the adjustments to be a good trader were small (albeit, tricky).
Thus began the study for entries and maximum risk:reward. See, there have been times I have bought aiming for a 10 pip scalps and hit 100 pips stops loss. Hell, there have been times I was going for 5 pips and hit 100 stop out. This can seem discouraging, but it does mean there must be 1:10 risk:reward pay-off on the other side of these mistakes, and they were mistakes.
If you repeatedly enter and exit at the wrong times, you are making mistakes and probably the same ones over and over again. The market is tricking you! There are specific ways in which price moves that compel people to make these mistakes (I won’t go into this in this post, because it takes too long and this is going to be a long post anyway, but a lot of this is FOMO).
Making mistakes is okay. In fact, as I see it, making mistakes is an essential part of becoming an expert. Making a mistake enough times to understand intrinsically why it is a mistake and then make the required adjustments. Understanding at a deep level why you trade the way you do and why others make the mistakes they do, is an important part of becoming an expert in your chosen area of focus.
I could talk more on these concepts, but to keep the length of the post down, I will crack on to actual examples of trades I look for. Here are my three main criteria. I am looking for tops/bottoms of moves (edge entries). I am looking for 1:3 RR or more potential pay-offs. My strategy assumes that retail trades will lose most of the time. This seems a fair enough assumption. Without meaning to sound too crass about it, smart money will beat dumb money most of the time if the game is base on money. They just will.
So to summarize, I am looking for the points newbies get trapped in bad positions entering into moves too late. From these areas, I am looking for high RR entries.
I call this one the “Lightning Bolt correction”, but it is most commonly referred to as a “two leg correction”. I call it a “Lightning Bolt correction” because it looks a bit like one, and it zaps you. If you get it wrong.
Once I see price making the first sell-off move and then begin to rally towards the highs again, I am waiting for a washout spike low. The common trades mistakes I am trading against here is them being too eager to buy into the trend too early and for the to get stopped out/reverse position when it looks like it is making another bearish breakout. Right at that point they panic … literally one candle under there is where I want to be getting in. I want to be buying their stop loss, essentially. “Oh, you don’t want that ...okay, I will have that!”
I need a precise entry. I want to use tiny stops (for big RR) so I need to be cute with entries. For this, I need entry rules. Not just arbitrarily buying the spike out. There are a few moving parts to this that are outside the scope of this post but one of my mains ways is using a fibs extension and looking for reversals just after the 1.61% level. How to draw the fibs is something else that is outside the scope of this but for one simple rule, they can be drawn on the failed new high leg.
I am looking for a few specific things for a prime setup. Firstly, I am looking for the false hope candles, the ones that look like they will reverse the market and let those buying too early get out break-even or even at profit. In this case, you can see the hammer and engulfing candle off the 127 level, then it spikes low in that “stop-hunt” sort of style.
Secondly I want to see it trading just past my entry level (161 ext). This rule has come from nothing other than sheer volume. The amount of times I’ve been stopped out by 1 pip by that little sly final low has gave birth to this rule. I am looking for the market to trade under support in a manner that looks like a new strong breakout. When I see this, I am looking to get in with tiny stops, right under the lows. I will also be using smaller charts at this time and looking for reversal clusters of candles. Things like dojis, inverted hammers etc. These are great for sticking stops under.
Important note, when the lightning bolt correction fails to be a good entry, I expect to see another two legs down. I may look to sell into this area sometimes, and also be looking for buying on another couple legs down. It is important to note, though, when this does not work out, I expect there to be continued momentum that is enough to stop out and reasonable stop level for my entry. Which is why I want to cut quick. If a 10 pips stop will hit, usually a 30 pips stop will too. Bin it and look for the next opportunity at better RR.
Another setup I am watching for is harmonic patterns, and I am using these as a multi-purpose indicator. When I see potentially harmonic patterns forming, I am using their completion level as take profits, I do not want to try and run though reversal patterns I can see forming hours ahead of time. I also use them for entering (similar rules of looking for specific entry criteria for small stops). Finally, I use them as a continuation pattern. If the harmonic pattern runs past the area it may have reversed from, there is a high probability that the market will continue to trend and very basic trend following strategies work well. I learned this from being too stubborn sticking with what I thought were harmonic reversals only to be ran over by a trend (seriously, everything I know I know from how it used to make me lose).
A method of spotting these sorts of M/W harmonics is they tend to form after a second spike out leg never formed. When this happens, it gives me a really good idea of where my profit targets should be and where my next big breakout level is. It is worth noting, larger harmonics using have small harmonics inside them (on lower time-frames) and this can be used for dialling in optimum entries. I also use harmonics far more extensively in ranging markets. Where they tend to have higher win rates.
Next setup is the good old fashioned double bottoms/double top/one tick trap sort of setup. This comes in when the market is highly over extended. It has a small sell-off and rallies back to the highs before having a much larger sell-off. This is a more risky trade in that it sells into what looks like trending momentum and can be stopped out more. However, it also pays a high RR when it works, allowing for it to be ran at reduced risk and still be highly profitable when it comes through.
From these sorts of moves, I am always looking for a follow up buy if it forms a lightning bolt sort of setup.
All of these setups always offer 1:3 or better RR. If they do not, you are doing it wrong (and it will be your stop placement that is wrong). This is not to say the target is always 1:3+, sometimes it is best to lock in profits with training stops. It just means that every time you enter, you can potentially have a trade that runs for many times more than you risked. 1:10 RR can be hit in these sorts of setups sometimes. Paying you 20% for 2% risked.
I want to really stress here that what I am doing is trading against small traders mistakes. I am not trying to “beat the market maker”. I am not trying to reverse engineer J.P Morgan’s black boxes. I do not think I am smart enough to gain a worthwhile edge over these traders. They have more money, they have more data, they have better softwares … they are stronger. Me trying to “beat the market maker” is like me trying to beat up Mike Tyson. I might be able to kick him in the balls and feel smug for a few seconds. However, when he gets up, he is still Tyson and I am still me. I am still going to be pummeled.
I’ve seen some people that were fairly bright people going into training courses and coming out dumb as shit. Thinking they somehow are now going to dominate Goldman Sachs because they learned a chart pattern. Get a grip. For real, get a fucking grip. These buzz phrases are marketeering. Realististically, if you want to win in the markets, you need to have an edge over somebody.
I don’t have edges on the banks. If I could find one, they’d take it away from me. Edges work on inefficiencies in what others do that you can spot and they can not. I do not expect to out-think a banks analysis team. I know for damn sure I can out-think a version of me from 5 years ago … and I know there are enough of them in the markets. I look to trade against them. I just look to protect myself from the larger players so they can only hurt me in limited ways. Rather than letting them corner me and beat me to a pulp (in the form of me watching $1,000 drop off my equity because I moved a stop or something), I just let them kick me in the butt as I run away. It hurts a little, but I will be over it soon.
I believe using these principles, these three simple enough edge entry setups, selectiveness (remembering you are trading against the areas people make mistakes, wait for they areas) and measured aggression a person can make impressive compounded gains over a year. I will attempt to demonstrate this by taking an account of under $100 to over $1,000 in a year. I will use max 10% on risk on a position, the risk will scale down as the account size increases. In most cases, 5% risk per trade will be used, so I will be going for 10-20% or so profits. I will be looking only for prime opportunities, so few trades but hard hitting ones when I take them.
I will start trading around the 10th January. Set remind me if you want to follow along. I will also post my investor login details, so you can see the trades in my account in real time. Letting you see when I place my orders and how I manage running positions.
I also think these same principles can be tweaked in such a way it is possible to flip $50 or so into $1,000 in under a month. I’ve done $10 to $1,000 in three days before. This is far more complex in trade management, though. Making it hard to explain/understand and un-viable for many people to copy (it hedges, does not comply with FIFO, needs 1:500 leverage and also needs spreads under half a pip on EURUSD - not everyone can access all they things). I see all too often people act as if this can’t be done and everyone saying it is lying to sell you something. I do not sell signals. I do not sell training. I have no dog in this fight, I am just saying it can be done. There are people who do it. If you dismiss it as impossible; you will never be one of them.
If I try this 10 times with $50, I probably am more likely to make $1,000 ($500 profit) in a couple months than standard ideas would double $500 - I think I have better RR, even though I may go bust 5 or more times. I may also try to demonstrate this, but it is kinda just show-boating, quite honestly. When it works, it looks cool. When it does not, I can go bust in a single day (see example https://www.fxblue.com/users/redditmicroflip).
So I may or may not try and demonstrate this. All this is, is just taking good basic concepts and applying accelerated risk tactics to them and hitting a winning streak (of far less trades than you may think). Once you have good entries and RR optimization in place - there really is no reason why you can not scale these up to do what may people call impossible (without even trying it).
I know there are a lot of people who do not think these things are possible and tend to just troll whenever people talk about these things. There used to be a time when I’d try to explain why I thought the way I did … before I noticed they only cared about telling me why they were right and discussion was pointless. Therefore, when it comes to replies, I will reply to all comments that ask me a question regarding why I think this can be done, or why I done something that I done. If you are commenting just to tell me all the reasons you think I am wrong and you are right, I will probably not reply. I may well consider your points if they are good ones. I just do not entering into discussions with people who already know everything; it serves no purpose.
I want to talk a bit more about using higher percentage of risk than usual. Firstly, let me say that there are good reasons for risk caps that people often cite as “musts”. There are reasons why 2% is considered optimum for a lot of strategies and there are reasons drawing down too much is a really bad thing.
Please do not be ignorant of this. Please do not assume I am, either. In previous work I done, I was selecting trading strategies that could be used for investment. When doing this, my only concern was drawdown metrics. These are essential for professional money management and they are also essential for personal long-term success in trading.
So please do not think I have not thought of these sorts of things Many of the reasons people say these things can’t work are basic 101 stuff anyone even remotely committed to learning about trading learns in their first 6 months. Trust me, I have thought about these concepts. I just never stopped thinking when I found out what public consensus was.
While these 101 rules make a lot of sense, it does not take away from the fact there are other betting strategies, and if you can know the approximate win rate and pay-off of trades, you can have other ways of deriving optimal bet sizes (risk per trade). Using Kelly Criterion, for example, if the pay-off is 1:3 and there is a 75% chance of winning, the optimal bet size is 62.5%. It would be a viable (high risk) strategy to have extremely filtered conditions that looked for just one perfect set up a month, makingover 150% if it was successful.
Let’s do some math on if you can pull that off three months in a row (using 150% gain, for easy math). Start $100. Month two starts $250. Month three $625. Month three ends $1,562. You have won three trades. Can you win three trades in a row under these conditions? I don’t know … but don’t assume no-one can.
This is extremely high risk, let’s scale it down to meet somewhere in the middle of the extremes. Let’s look at 10%. Same thing, 10% risk looking for ideal opportunities. Maybe trading once every week or so. 30% pay-off is you win. Let’s be realistic here, a lot of strategies can drawdown 10% using low risk without actually having had that good a chance to generate 30% gains in the trades it took to do so. It could be argued that trading seldomly but taking 5* the risk your “supposed” to take can be more risk efficient than many strategies people are using.
I am not saying that you should be doing these things with tens of thousands of dollars. I am not saying you should do these things as long term strategies. What I am saying is do not dismiss things out of hand just because they buck the “common knowns”. There are ways you can use more aggressive trading tactics to turn small sums of money into they $1,000s of dollars accounts that you exercise they stringent money management tactics on.
With all the above being said, you do have to actually understand to what extent you have an edge doing what you are doing. To do this, you should be using standard sorts of risks. Get the basics in place, just do not think you have to always be basic. Once you have good basics in place and actually make a bit of money, you can section off profits for higher risk versions of strategies. The basic concepts of money management are golden. For longevity and large funds; learned them and use them! Just don’t forget to think for yourself once you have done that.
Okay, I have thought this through a bit more and decided I don't want to post my live account investor login, because it has my full name and I do not know who any of you are. Instead, for copying/observing, I will give demo account login (since I can choose any name for a demo).
I will also copy onto a live account and have that tracked via Myfxbook.
I will do two versions. One will be FIFO compliant. It will trade only single trade positions. The other will not be FIFO compliant, it will open trades in batches. I will link up live account in a week or so. For now, if anyone wants to do BETA testing with the copy trader, you can do so with the following details (this is the non-FIFO compliant version).
Account tracking/copying details.
IC Markets MT4
Account number: 10307003
Investor PW: lGdMaRe6
(Not FIFO compliant)
Valid and Invalid Complaints.
There are a few things that can pop up in copy trading. I am not a n00b when it comes to this, so I can somewhat forecast what these will be. I can kinda predict what sort of comments there may be. Some of these are valid points that if you raise I should (and will) reply to. Some are things outside of the scope of things I can influence, and as such, there is no point in me replying to. I will just cover them all here the one time.
Valid complains are if I do something dumb or dramatically outside of the strategy I have laid out here. won't do these, if I do, you can pitchfork ----E
“Oi, idiot! You opened a trade randomly on a news spike. I got slipped 20 pips and it was a shit entry”.
Perfectly valid complaint.
“Why did you open a trade during swaps hours when the spread was 30 pips?”
“You left huge trades open running into the weekend and now I have serious gap paranoia!”
These are examples of me doing dumb stuff. If I do dumb stuff, it is fair enough people say things amounting to “Yo, that was dumb stuff”.
“You bought EURUSD when it was clearly a sell!!!!”
Okay … you sell. No-one is asking you to copy my trades. I am not trading your strategy. Different positions make a market.
“You opened a position too big and I lost X%”.
No. Na uh. You copied a position too big. If you are using a trade copier, you can set maximum risk. If you neglect to do this, you are taking 100% risk. You have no valid compliant for losing. The act of copying and setting the risk settings is you selecting your risk. I am not responsible for your risk. I accept absolutely no liability for any losses.
*Suggested fix. Refer to risk control in copy trading software
“You lost X trades in a row at X% so I lost too much”.
Nope. You copied. See above. Anything relating to losing too much in trades (placed in liquid/standard market conditions) is entirely you. I can lose my money. Only you can set it up so you can lose yours. I do not have access to your account. Only mine.
*Suggested fix. Refer to risk control in copy trading software
“Price keeps trading close to the pending limit orders but not filling. Your account shows profits, but mine is not getting them”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
* Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Buy limit orders will need to move up a little. Sell limit orders should not need adjusted.
“I got stopped out right before the market turned, I have a loss but your account shows a profit”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Stop losses on sell orders will need to move up a bit. Stops on buy orders will be fine.
“Your trade got stopped out right before the market turned, if it was one more pip in the stop, it would have been a winner!!!”
Yeah. This happens. This is where the “risk” part of “risk:reward” comes in.
“Price traded close to take profit, yours filled but mines never”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
(Side note, this should not be an issue since when my trade closes, it should ping your account to close, too. You might get a couple less pips).
*** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Take profits on buys will need to move up a bit. Sell take profits will be fine.
“My brokers spread jumped to 20 during the New York session so the open trade made a bigger loss than it should”.
Your broker might just suck if this happens. This is brokerage. I have no control over this. My trades are placed to profit from my brokerage conditions. I do not know, so can not account for yours. Also, if accounting for random spread spikes like this was something I had to do, this strategy would not be a thing. It only works with fair brokerage conditions.
*Suggested fix. Do a bit of Googling and find out if you have a horrific broker. If so, fix that! A good search phrase is; “(Broker name) FPA reviews”.
“Price hit the stop loss but was going really fast and my stop got slipped X pips”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
If my trade also got slipped on the stop, I was slipped using ECN conditions with excellent execution; sometimes slips just happen. I am doing the most I can to prevent them, but it is a fact of liquidity that sometimes we get slipped (slippage can also work in our favor, paying us more than the take profit would have been).
“Orders you placed failed to execute on my account because they were too large”.
This is brokerage. I have no control over this. Margin requirements vary. I have 1:500 leverage available. I will not always be using it, but I can. If you can’t, this will make a difference.
“Your account is making profits trading things my broker does not have”
I have a full range of assets to trade with the broker I use. Included Forex, indices, commodities and cryptocurrencies. I may or may not use the extent of these options. I can not account for your brokerage conditions.
I think I have covered most of the common ones here. There are some general rules of thumb, though. Basically, if I do something that is dumb and would have a high probability of losing on any broker traded on, this is a valid complain.
Anything that pertains to risk taken in standard trading conditions is under your control.
Also, anything at all that pertains to brokerage variance there is nothing I can do, other than fully brief you on what to expect up-front. Since I am taking the time to do this, I won’t be a punchbag for anything that happens later pertaining to this.
I am not using an elitist broker. You don’t need $50,000 to open an account, it is only $200. It is accessible to most people - brokerage conditions akin to what I am using are absolutely available to anyone in the UK/Europe/Asia (North America, I am not so up on, so can’t say). With the broker I use, and with others. If you do not take the time to make sure you are trading with a good broker, there is nothing I can do about how that affects your trades.
I am using an A book broker, if you are using B book; it will almost certainly be worse results. You have bad costs. You are essentially buying from reseller and paying a mark-up. (A/B book AKA ECN/Market maker; learn about this here). My EURUSD spread will typically be 0.02 pips or so, if yours is 1 pip, this is a huge difference.
These are typical spreads I am working on.
Check the full range of spreads on Forex, commodities, indices and crypto.
Please understand I want nothing from you if you benefit from this, but I am also due you nothing if you lose. My only term of offering this is that people do not moan at me if they lose money.
I have been fully upfront saying this is geared towards higher risk. I have provided information and tools for you to take control over this. If I do lose people’s money and I know that, I honestly will feel a bit sad about it. However, if you complain about it, all I will say is “I told you that might happen”, because, I am telling you that might happen.
Make clear headed assessments of how much money you can afford to risk, and use these when making your decisions. They are yours to make, and not my responsibility.
Crazy Kelly Compounding: $100 - $11,000 in 6 Trades.
$100 to $11,000 in 6 trades? Is it a scam? Is it a gamble? … No, it’s maths.
Common sense risk disclaimer: Don’t be a dick! Don’t risk money you can’t afford to lose. Do not risk money doing these things until you can show a regular profit on low risk.
Let’s talk about Crazy Kelly Compounding (CKC). Kelly criterion is a method for selecting optimal bet sizes if the odds and win rate are known (in other words, once you have worked out how to create and assess your edge). You can Google to learn about it in detail. The formula for Kelly criterion is;
((odds-1) * (percentage estimate)) - (1-percent estimate) / (odds-1) X 100
Now let’s say you can filter down a strategy to have a 80% win rate. It trades very rarely, but it had a very high success rate when it does. Let’s say you get 1:2 RR on that trade. Kelly would give you an optimum bet size of about 60% here. So if you win, you win 120%. Losing three trades in a row will bust you. You can still recover from anything less than that, fairly easily with a couple winning trades.
This is where CKC comes in. What if you could string some of these wins together, compounding the gains (so you were risking 60% each time)? What if you could pull off 6 trades in a row doing this?
Here is the math;
This shows years, substitute years for trades. 6 trades returns $11,338! This can be done. The question really is if you are able to dial in good enough entries, filter out enough sub-par trades and have the guts to pull the trigger when the time is right. Obviously you need to be willing to take the hit, obviously that hit gets bigger each time you go for it, but the reward to risk ratio is pretty decent if you can afford to lose the money.
We could maybe set something up to do this on cent brokers. So people can do it literally risking a couple dollars. I’d have to check to see if there was suitable spreads etc offered on them, though. They can be kinda icky.
Now listen, I am serious … don’t be a dick. Don’t rush out next week trying to retire by the weekend. What I am showing you is the EXTRA rewards that come with being able to produce good solid results and being able to section off some money for high risk “all or nothing” attempts; using your proven strategies.
I am not saying anyone can open 6 trades and make $11,000 … that is rather improbable. What I am saying is once you can get the strategy side right, and you can know your numbers; then you can use the numbers to see where the limits actually are, how fast your strategy can really go.
This CKC concept is not intended to inspire you to be reckless in trading, it is intended to inspire you to put focus on learning the core skills I am telling you that are behind being able to do this.
Part     submitted by whatthefx to Forex [link] [comments]
I wanted to take some time to explain my purpose in posting this "Shorting Noobs" series here. In the posts, specifically. I've explained my theory for doing the project itself enough in Q/A in comments.
First let's cover a few things I am not here to do;
1 - Cocaine. Nasty habit.
2 - Undermine, mock or disrespect people new or losing in Forex
I hope this is apparent from my general tone in posts and answering questions. I do not think I am better than you, I know statistically speaking I do this a lot more than most of you. There are things you will be amazing in that I am a noob, it's really only a matter of time and focus. I do not use it as any sort of slur.
3 - Undermine people offering copy trading services
To be honest, I kinda like them. To see how others trade, especially if they do is systematically is fascinating to me. Much can be learned. I value watching people trade higher than airy statements about trading ideals, it gives real information.
4 - Promote Excessive Risk
Although there have been big swings in the strategy, this has not been me trying to ram the virtues of reckless risk down your throat. I recommend it only as part of a balanced diet. The strategy takes a lot of risk because what it is doing (lots of trade data from many sources). Not what I am doing, or suggesting you do.
5 - Sell Anything
I am not marketing any of the strategies I document. You will not be able to get software from me. I do not sell training. Already many people have asked me for training in DMs, and will be able to vouch I have no sales pitch (usually not even a direct answer, just a nudge in the suitable direction).
Now let's talk about what it is about.
I'll do this by sharing a couple DMs I have got.
Firstly, thank you to those who've sent these sorts of messages (if you've messaged me and not heard back in 2 days, please message me again - I'll reply, but keeping up with them is tricky). The fact that when I explain some logical things you can go and test independent of me and come to your own truth on the matter validates this is worth the time and effort. This is what I want you to do. Not believe me. Not buy my hype. Check your own trades against what I highlight.
I think the whole "should I short myself" topic is too long to be included in this post properly. Short answer I'd give is no. There's a far longer one. For brevity, what you should seek to do is understand the triggers for you making losing trades. The triggers for losing entries are also triggers for winning entries. Understand them and re-wire the way you think about the market.
I want to show you that mistakes people make are predictable. I think they are so predictable that I can reduce it to working out what strategy type Timmy is trading, and then "Activate Timmy" at a time I know that strategy is prone to loss, and rack up profits in his drawn down. I also want to show you that what I do does not "break" when there is a news event. It frequently compliments it and my qualifiers foreshadow it.
I want you to understand that as a way to offer you a form of empowerment in the markets. For as long as you believe we are at the whip and whim of these things we can never understand, you're driftwood in the waves. Where others find their excuses, I have found patterns. Where many of you have your frustrations is the root of my fortunes, and I am not smarter than you. I want to stress that. I'm average, but pedantic about precision and this is my job that I do every day.
I will now round up analysis and lessons from posts over the last week or so to consolidate a lesson for you that offers you the chance to instantly improve poor trading results. I'll show you how;
1 - How I explained the type of trading error theoretically.
2 - How I flagged up someone making the trading error in real time.
3 - How I profited from the other side of the trading error, and posted that forecast.
We are going to be looking at the area when downtrend turned to correction. We'll used GBPUSD as an example. My post is timestamped, you can see I posted these common mistakes we should look for longer before the GBPUSD price action I will reference. This is not retroactive curve fitting.
Someone posted a sell setup in here on GBPUSD. By up-vote court, trend continuation was the way to go. Unfortunately the poster later deleted their post, so I can not show you specifically the type of analysis they used. I'll say it was good analysis, 2/3 times. This was the 3.
Area they posted their sell analysis stating something to the effect the trend was down and there'd been a big correction. We can sell now, it might go up a little more but it's due a drop (I.e, Break&Re-test trade)
I'd call this a foreseeable mistake, and good opportunity to trade the other way when you understand the mistake. That's what I'd describe the mid week action as.
However, word on the street is ...
I sure didn't see that coming. Draw your own conclusions.
Following this move, I then posted this analysis. In the analysis I explained the 50/61.8 trap (see  )
Someone replied this (I'm not "calling out" this person. I hope they take this for what it is, and me just showing what people think vrs what happens, and how this can be 'known').
As well as explaining the trap type, the moves to avoid, the scalp possible in the immediate term and sort of price action to expect in a reversal (all just stuff to explain not making selling mistakes on this known mistake area), I also used another strategy to post where the buy for the run to the 61.8 area where be.
Full post https://www.reddit.com/Forex/comments/cu8d23/strategy_to_make_50_100_a_year_trading_one_day_a/
Then I bought at that level, posted we should expect a big pull back and re-load for further swing highs.
Full post https://www.reddit.com/Forex/comments/cufic1/strat_for_50_100_a_year_more_details_first_trade/
I posted my further entries in real time.
Which were profitable.
Full post https://www.reddit.com/Forex/comments/cujxgo/strat_for_50_100_a_year_common_points_example_of/
Through all of this, the market went about 10 pips against me in mid week trades, and then under 2 pips against me in all of my trades for today. When I entered, things just worked. Almost as if I 'knew' ... but there's no way that would be possible.
A person could not know on Tuesday what would happen the next days ...
A person could not tell you in the Asia session what to expect hour by hour in the coming trading day ...
A person could not draw tomorrows chart ...
Full post for all above
And of course, we know above all else ... No one can time the market.
What are the purpose of my posts here?
Just wanted to add a different perspective.
After January's strong jobs report calmed some recession fears, investors will be picking through the next wave of earnings reports and economic data for clues on just how much the U.S. economy could be slowing.
Dozens of earnings, from companies like Alphabet, Disney and Eli Lily, report in the week ahead, and there are just a few economic reports like trade data and ISM services on Tuesday. Investors will also be watching the outcome of Treasury auctions for $84 billion in Treasury notes and bonds Tuesday through Thursday, after the Fed's dovish tone helped put a lid on interest rates in the past week.
Nearly half the S&P 500 companies had reported for the fourth quarter by Friday morning, and 71 percent beat earnings estimates, while 62 percent have beaten revenue estimates. But earnings growth forecasts for the first quarter continue to decline as more companies report, and they are currently barely breaking even at under 1 percent growth, versus the 15 percent growth in the fourth quarter, according to Refinitiv.
"Granted the more we hear from companies, and particularly in terms of their guidance and projections on revenues, things can slowly change. The first thing companies do is they stop spending money. Cap spending slows down, and if revenue growth does not pick up, they let people go. This is still wait and see," said Quincy Krosby, chief market strategist at Prudential Financial.
Krosby said the 304,000 jobs added in January did ease some concerns about a slowing economy, as did a stronger than expected ISM manufacturing report Friday. But the view of the first quarter is still unclear, as many economic reports were missed during the government shutdown. Economists expect growth in the first quarter of just above 2 percent, after growth of about 2.9 percent in the fourth quarter.
Stocks closed out January with a sharp gain on Thursday, and started February on Friday on a flattish note. The S&P 500 has rebounded about 15 percent from its Dec. 24 closing low. Last month's 7.9 percent gain was the best performance for January in more than 30 years. The old Wall Street adage says 'so goes January, so goes the year.' If that holds, stocks could finish 2019 higher. But February is another story, and on average, it is a flat month for the S&P 500.
"The tug of war that you saw in the market, that was going on in the last half of last year is playing out in the data. Some of the data is a bit lower, but some of the economic surprises are picking up to the upside rather than downside," said Krosby.
Peter Boockvar, chief investment strategist at Bleakley Advisory Group, said the ISM may have improved but it reflected very low exports and flat backlogs, even though there was a snap back in new orders.
"I would fade the jobs report," said Boockvar, noting the level of growth may have been inflated by government workers taking on part-time jobs during the government shutdown.
Boocvkar said the jobs report also looked strong on the surface, but he's concerned the unemployment rate ticked up to 4 percent from 3.9 percent.
"The question of whether we go into a recession or not is how does the stock market affect confidence?" Boockvar said. Confidence readings in the past week were low, and consumer sentiment Friday was its lowest since before President Donald Trump took office.
Krosby said stocks could test recent lows or put in a higher low. If there's a big selloff, "That would not necessarily mean it was a clue a recession is coming. It's just a normal testing mechanism," she said.
The Fed removed a big concern from the markets in the past week, when its post-meeting statement and Fed Chairman Jerome Powell's briefing tilted dovish, assuring markets the Fed would pause in its interest rate hiking. Investors had feared the Fed would hurt the softening economy with its rate hikes. Now, the biggest fears are about the trade war between the U.S. and China and slowing Chinese growth.
The jobs report, and the ISM manufacturing data were also important because the lack of data during the government's 35 day shutdown has left gaps in the economic picture.
"This is really a sign the Fed stole the thunder from the economic data. By saying they're patient plasters over any kind of economic data in the near term, and I suspect the near term lasts through the first quarter because of the government shutdown, the weather, weak GDP," said Marc Chandler, chief market strategist at Bannockburn Global Forex.
Chandler said the markets will be hanging on any news on the trade talks with China. "Even if it's not the all encompassing trade deal we were promised, it's a return to where we were before with China promising to buy energy and farm products. We'll continue to have some kind of talks with the China, like we had under Obama and Bush," said Chandler.
What a year it has been. After the worst December for stocks in 87 years that contributed to the worst fourth quarter since the 2008–09 financial crisis, stocks have bounced back in spectacular fashion. In fact, with a day to go, stocks are looking at their best first month of the year in 30 years.
What could happen next? “We like to say that the easy 10% has been made off the lows and the next 10% will be much tougher,” explained LPL Senior Market Strategist Ryan Detrick. “Things like Fed policy, China uncertainty, and overall global growth concerns all will play a part in where equity markets go from here.”
With the S&P 500 Index about 10% away from new highs, we do think new highs are quite possible at some point this year. Positive news from the Federal Reserve (Fed) and China trade talks, as well as the realization by investors that the odds of a recession in 2019 are quite low could spark potential new highs. Remember, fiscal spending as a percentage of overall gross domestic product (GDP) is higher this year than it was last year. Many think the tax cut and fiscal policies in play last year were a one-time sugar high. We don’t see it that way and expect the benefits from fiscal policy to help extend this economic cycle at least another year—likely more.
As we head into February, note that it hasn’t been one of the best months for stocks. In fact, as our LPL Chart of the Day shows, since 1950, February has been virtually flat, and over the past 20 years only June and September have shown worse returns. Overall, the market gains have been quite impressive since the December 24 lows, but we wouldn’t be surprised at all to see a near-term consolidation or pullback.
Investors have increasingly positioned for a Federal Reserve (Fed) pause, which could portend a shift in fixed income markets. Fed fund futures are pricing in about a 70% probability that the Fed will keep rates unchanged for the rest of 2019, and the market’s dovish tilt has weighed on short-term rates.
As shown in the LPL Chart of the Day, the 2-year yield has typically followed the fed funds rate since policymakers began raising rates in December 2015. While we expect one or two more hikes this cycle, there is a possibility that the Fed’s December hike was its last, which will likely cap short-term rates.
If the Fed pauses, the curve will likely reverse course and steepen as solid economic growth and quickening (but manageable) inflation drives longer-term yields higher. As mentioned in our Outlook 2019, FUNDAMENTAL: How to Focus on What Really Matters in the Markets, we’re forecasting the 10-year Treasury yield will increase significantly from current levels and trade within a range of 3.25–3.75% in 2019.
“We remain optimistic about U.S. economic growth prospects, and recent data show inflation remains at manageable levels,” said LPL Research Chief Investment Strategist John Lynch. “Because of this, we expect the data-dependent Fed to be less aggressive than initially feared, as policymakers juggle these factors with the impacts of trade tensions and tepid global growth.”
To be clear, investors shouldn’t fear a flattening yield curve given the backdrop of solid economic growth and modest inflation. Historically, the yield curve has remained relatively flat or inverted for years before some recessions started. Since 1970, the United States has entered a recession an average of 21 months after the yield curve inverted.
Jobless claims have dropped to a 49-year low. Based on historical trends, this could signal that a U.S. economic recession is further off than many expect.
Data released January 24 showed jobless claims fell to 199K in the week ending January 18, the lowest number since 1969 and far below consensus estimates of 218K. As shown in the LPL Chart of the Day, current jobless claims have been significantly lower than those in the 12-month periods preceding each recession since the early 1970s.
“Last week’s jobless claims print was particularly impressive given the partial government shutdown and weakening corporate sentiment,” said LPL Research Chief Investment Strategist John Lynch. “The U.S. labor market remains strong and will help buoy consumer health and output growth this year.”
Other predictive data sets have signaled U.S. recessionary odds are low. Data last week showed the Conference Board’s Leading Economic Index (LEI), based on 10 leading economic indicators (like jobless claims, manufacturers’ new orders, and stock prices), grew 4.3% year over year in December. In contrast, the LEI has turned negative year over year before all economic recessions since 1970. Because of its solid predictive ability, the LEI is a component of our Recession Watch Dashboard.
Most major U.S. stock indexes rallied to new recovery and year-to-date highs today shrugging off some misses and weakness from Microsoft, DuPont and Visa. S&P 500 finished the month strong with a 7.9% gain. This is the best S&P January since 1987. This is also the third January Trifecta in a row.
Last year the S&P 500 crumbled in the fourth quarter under the weight of triple threats from a hawkish and confusing Fed, a newly divided Congress and the U.S. trade battle with China, finishing in the red. 2017’s Trifecta was followed by a full-year gain of 19.4%, including a February-December gain of 17.3%. As you can see in the table below, the long term track record of the Trifecta is rather impressive, posting full-year gains in 27 of the 30 prior years with an average gain for the S&P 500 of 17.1%.
Devised by Yale Hirsch in 1972, the January Barometer has registered ten major errors since 1950 for an 85.5% accuracy ratio. This indicator adheres to propensity that as the S&P 500 goes in January, so goes the year. Of the ten major errors Vietnam affected 1966 and 1968. 1982 saw the start of a major bull market in August. Two January rate cuts and 9/11 affected 2001.The market in January 2003 was held down by the anticipation of military action in Iraq. The second worst bear market since 1900 ended in March of 2009 and Federal Reserve intervention influenced 2010 and 2014. In 2016, DJIA slipped into an official Ned Davis bear market in January. Including the eight flat years yields a .739 batting average.
Our January Indicator Trifecta combines the Santa Claus Rally, the First Five Days Early Warning System and our full-month January Barometer. The predicative power of the three is considerably greater than any of them alone; we have been rather impressed by its forecasting prowess. This is the 31st time since 1949 that all three January Indicators have been positive and the twelfth time (previous eleven times highlighted in grey in table below) this has occurred in a pre-election year.
Even though February is right in the middle of the Best Six Months, its long-term track record, since 1950, is not all that stellar. February ranks no better than seventh and has posted paltry average gains except for the Russell 2000. Small cap stocks, benefiting from “January Effect” carry over; tend to outpace large cap stocks in February. The Russell 2000 index of small cap stocks turns in an average gain of 1.1% in February since 1979—just the seventh best month for that benchmark.
In pre-election years, February’s performance generally improves with average returns all positive. NASDAQ performs best, gaining an average 2.8% in pre-election-year Februarys since 1971. Russell 2000 is second best, averaging gains of 2.5% since 1979. DJIA, S&P 500 and Russell 1000, the large-cap indices, tend to lag with average advances of around 1.0%.
7%? Bulls will take it! After an abysmal December, the S&P 500 is currently set to finish the month with its best January return since 1987. This month’s gain will mark the 16th time since the lows of the Financial Crisis in March 2009 that the S&P 500 has rallied more than 5% in a given month. The table below highlights each of the 15 prior months where the S&P 500 rallied more than 5% and shows how much the S&P 500 gained on the month as well as its performance on the last trading day of the month and the first trading day of the subsequent month.
When looking at the table, a few things stand out. First, the first trading day of a month that follows a month where the S&P 500 rallied more than 5% has been extremely positive as the S&P 500 averages a gain of 0.84% (median: 1.01%) with positive returns 13 out of 15 times! In addition to the positive tendency of markets on the first day of the new month, there has also been a clear tendency for the S&P 500 to decline on the last trading day of the strong month. The average decline on the last trading day of a strong month has been 0.09% with positive returns less than half of the time. This is no doubt related to the fact that funds are forced to rebalance out of equities to get back inline with their benchmark weights. However, on those five prior months where the S&P 500 bucked the trend and was positive on the last trading day of a 5%+ month, the average gain on the first trading day of the next month was even stronger at 1.52% with gains five out of six times.
Monday 2.4.19 Before Market Open:
Monday 2.4.19 After Market Close:
Tuesday 2.5.19 Before Market Open:
Tuesday 2.5.19 After Market Close:
Wednesday 2.6.19 Before Market Open:
Wednesday 2.6.19 After Market Close:
Thursday 2.7.19 Before Market Open:
Thursday 2.7.19 After Market Close:
Friday 2.8.19 Before Market Open:
Friday 2.8.19 After Market Close:
([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())NONE.
Alphabet, Inc. (GOOGL) is confirmed to report earnings at approximately 4:05 PM ET on Monday, February 4, 2019. The consensus earnings estimate is $11.08 per share on revenue of $31.28 billion and the Earnings Whisper ® number is $11.03 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 14.23% with revenue decreasing by 3.23%. Short interest has decreased by 6.6% since the company's last earnings release while the stock has drifted higher by 6.7% from its open following the earnings release to be 0.7% below its 200 day moving average of $1,127.05. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 24, 2019 there was some notable buying of 1,493 contracts of the $1,200.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 5.2% move on earnings and the stock has averaged a 3.8% move in recent quarters.
Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, February 7, 2019. The consensus earnings estimate is $0.25 per share on revenue of $871.59 million and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 38.89% with revenue increasing by 19.14%. Short interest has decreased by 54.7% since the company's last earnings release while the stock has drifted higher by 6.0% from its open following the earnings release to be 3.1% below its 200 day moving average of $34.24. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, December 31, 2018 there was some notable buying of 45,575 contracts of the $34.00 call expiring on Friday, March 15, 2019. Option traders are pricing in a 13.4% move on earnings and the stock has averaged a 13.9% move in recent quarters.
Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, February 5, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $376.64 million and the Earnings Whisper ® number is ($0.04) per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat The company's guidance was for revenue of $355.00 million to $380.00 million. Consensus estimates are for year-over-year earnings growth of 27.27% with revenue increasing by 31.83%. Short interest has decreased by 1.8% since the company's last earnings release while the stock has drifted higher by 12.7% from its open following the earnings release to be 33.6% below its 200 day moving average of $10.40. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, January 3, 2019 there was some notable buying of 29,739 contracts of the $7.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 15.7% move on earnings and the stock has averaged a 19.2% move in recent quarters.
Cleveland-Cliffs Inc (CLF) is confirmed to report earnings at approximately 8:00 AM ET on Friday, February 8, 2019. The consensus earnings estimate is $0.57 per share on revenue of $713.61 million and the Earnings Whisper ® number is $0.63 per share. Investor sentiment going into the company's earnings release has 87% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 119.23% with revenue increasing by 18.76%. Short interest has increased by 4.6% since the company's last earnings release while the stock has drifted lower by 9.8% from its open following the earnings release to be 11.2% above its 200 day moving average of $9.47. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, January 7, 2019 there was some notable buying of 10,030 contracts of the $8.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 9.4% move on earnings and the stock has averaged a 7.0% move in recent quarters.
Take-Two Interactive Software, Inc. (TTWO) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, February 6, 2019. The consensus earnings estimate is $2.72 per share on revenue of $1.46 billion and the Earnings Whisper ® number is $2.82 per share. Investor sentiment going into the company's earnings release has 84% expecting an earnings beat The company's guidance was for earnings of $0.31 to $0.41 per share. Consensus estimates are for year-over-year earnings growth of 106.06% with revenue increasing by 203.64%. Short interest has increased by 37.1% since the company's last earnings release while the stock has drifted lower by 18.7% from its open following the earnings release to be 9.9% below its 200 day moving average of $116.52. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, January 23, 2019 there was some notable buying of 2,067 contracts of the $120.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 9.2% move on earnings and the stock has averaged a 8.3% move in recent quarters.
Alexion Pharmaceuticals, Inc. (ALXN) is confirmed to report earnings at approximately 6:35 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $1.82 per share on revenue of $1.06 billion and the Earnings Whisper ® number is $1.95 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 23.81% with revenue increasing by 16.52%. Short interest has decreased by 16.7% since the company's last earnings release while the stock has drifted higher by 0.4% from its open following the earnings release to be 5.8% above its 200 day moving average of $119.40. On Friday, February 1, 2019 there was some notable buying of 1,235 contracts of the $130.00 call expiring on Friday, February 15, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 6.5% move in recent quarters.
Walt Disney Co (DIS) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, February 5, 2019. The consensus earnings estimate is $1.57 per share on revenue of $15.18 billion and the Earnings Whisper ® number is $1.62 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.93% with revenue decreasing by 1.11%. Short interest has increased by 7.2% since the company's last earnings release while the stock has drifted lower by 5.8% from its open following the earnings release to be 1.9% above its 200 day moving average of $109.22. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 1, 2019 there was some notable buying of 8,822 contracts of the $110.00 put expiring on Friday, February 8, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.2% move in recent quarters.
BP p.l.c (BP) is confirmed to report earnings at approximately 5:25 AM ET on Tuesday, February 5, 2019. The consensus earnings estimate is $0.77 per share on revenue of $60.72 billion and the Earnings Whisper ® number is $0.75 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.31% with revenue decreasing by 13.28%. Short interest has increased by 6.5% since the company's last earnings release while the stock has drifted lower by 1.6% from its open following the earnings release to be 3.9% below its 200 day moving average of $43.01. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, January 17, 2019 there was some notable buying of 2,010 contracts of the $33.00 put expiring on Friday, January 17, 2020. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 2.1% move in recent quarters.
Clorox Co. (CLX) is confirmed to report earnings at approximately 6:30 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $1.32 per share on revenue of $1.48 billion and the Earnings Whisper ® number is $1.34 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.32% with revenue increasing by 4.52%. Short interest has decreased by 9.8% since the company's last earnings release while the stock has drifted higher by 3.5% from its open following the earnings release to be 5.9% above its 200 day moving average of $141.57. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, January 18, 2019 there was some notable buying of 1,025 contracts of the $152.50 put expiring on Friday, February 8, 2019. Option traders are pricing in a 4.7% move on earnings and the stock has averaged a 3.3% move in recent quarters.
SYSCO Corp. (SYY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, February 4, 2019. The consensus earnings estimate is $0.72 per share on revenue of $14.85 billion and the Earnings Whisper ® number is $0.73 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 3.04%. Short interest has decreased by 1.0% since the company's last earnings release while the stock has drifted lower by 2.0% from its open following the earnings release to be 5.6% below its 200 day moving average of $67.34. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, February 1, 2019 there was some notable buying of 1,691 contracts of the $66.00 call expiring on Friday, February 8, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 4.8% move in recent quarters.
|Rate (per day)||9.17||95.73|
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As a long-standing supporter and practitioner of long-term Forex trading it is hard for me to judge this style of trading objectively, but pointing out the advantages is an easy task in my case. Apart from the obvious subjective advantages, that are appealing to certain features of a trader's personality, long-term Forex trading has some features that can be good for everyone: Spread economy ... The long term outlook could turn to mildly positive if EUR/USD passes the high of the third quarter 2020 at 1.2011. Euro/Dollar Forecast: Yearly chart . Last Update: September 24, 2020. If we look at the yearly chart of the EURUSD currency pair, we see a long-term downtrend that originated at the 2008 high at 1.6038. The last six years EUR/USD ... There is no need to have Forex market forecast software to check this indicator. Nowadays many platforms provide us with the information of Trader Sentiment for each pair. This measure is very simple. It shows what percentage of market participants have long and short positions on that currency pair in question. If the balance between buyers and sellers is close to 50/50, then it is difficult ... EUR/USD Forecast: Long-term Perspective - November 14, 2020 EUR/USD Forecast: Modest advance, bulls still on the side-lines - November 14, 2020 Blumar announces significant Q3 losses, USD 300 ... Some analyse particular patterns in the charts displayed, and then forecast following the meaning of the patterns. These are called 'chartists'. Another significant parameter of FX prediction is the ' Moving Averages' of short and long term Forex market data. This is a momentum based model wherein specific data is analysed by using statistics ... Get the Forex Forecast using fundamentals, sentiment, and technical positions analyses for major pairs for the week of November 16, 2020 here. The difference between success and failure in Forex trading is very likely to depend mostly upon which currency pairs you choose to trade each week and in ... USD/JPY Forecast; AUD/USD Forecast; USD/CAD Forecast ; Live Calendar; Subscribe; You are at: Home » FXStreet News » US long-term inflation expectations reach highest since Q2 2019. US long-term inflation expectations reach highest since Q2 2019 0. By FX Street Published: Oct 22, 2020 00:57 GMT Last Modified: Oct 22, 2020 02:57 GMT FXStreet News. According to the Wall Street Journal’s ...
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