Hi guys,submitted by getmrmarket to Forex [link] [comments]
I have been using reddit for years in my personal life (not trading!) and wanted to give something back in an area where i am an expert.
I worked at an investment bank for seven years and joined them as a graduate FX trader so have lots of professional experience, by which i mean I was trained and paid by a big institution to trade on their behalf. This is very different to being a full-time home trader, although that is not to discredit those guys, who can accumulate a good amount of experience/wisdom through self learning.
When I get time I'm going to write a mid-length posts on each topic for you guys along the lines of how i was trained. I guess there would be 15-20 topics in total so about 50-60 posts. Feel free to comment or ask questions.
The first topic is Risk Management and we'll cover it in three parts
Why it mattersThe first rule of making money through trading is to ensure you do not lose money. Look at any serious hedge fund’s website and they’ll talk about their first priority being “preservation of investor capital.”
You have to keep it before you grow it.
Strangely, if you look at retail trading websites, for every one article on risk management there are probably fifty on trade selection. This is completely the wrong way around.
The great news is that this stuff is pretty simple and process-driven. Anyone can learn and follow best practices.
Seriously, avoiding mistakes is one of the most important things: there's not some holy grail system for finding winning trades, rather a routine and fairly boring set of processes that ensure that you are profitable, despite having plenty of losing trades alongside the winners.
Capital and position sizingThe first thing you have to know is how much capital you are working with. Let’s say you have $100,000 deposited. This is your maximum trading capital. Your trading capital is not the leveraged amount. It is the amount of money you have deposited and can withdraw or lose.
Position sizing is what ensures that a losing streak does not take you out of the market.
A rule of thumb is that one should risk no more than 2% of one’s account balance on an individual trade and no more than 8% of one’s account balance on a specific theme. We’ll look at why that’s a rule of thumb later. For now let’s just accept those numbers and look at examples.
So we have $100,000 in our account. And we wish to buy EURUSD. We should therefore not be risking more than 2% which $2,000.
We look at a technical chart and decide to leave a stop below the monthly low, which is 55 pips below market. We’ll come back to this in a bit. So what should our position size be?
We go to the calculator page, select Position Size and enter our details. There are many such calculators online - just google "Pip calculator".
So the appropriate size is a buy position of 363,636 EURUSD. If it reaches our stop level we know we’ll lose precisely $2,000 or 2% of our capital.
You should be using this calculator (or something similar) on every single trade so that you know your risk.
Now imagine that we have similar bets on EURJPY and EURGBP, which have also broken above moving averages. Clearly this EUR-momentum is a theme. If it works all three bets are likely to pay off. But if it goes wrong we are likely to lose on all three at once. We are going to look at this concept of correlation in more detail later.
The total amount of risk in our portfolio - if all of the trades on this EUR-momentum theme were to hit their stops - should not exceed $8,000 or 8% of total capital. This allows us to go big on themes we like without going bust when the theme does not work.
As we’ll see later, many traders only win on 40-60% of trades. So you have to accept losing trades will be common and ensure you size trades so they cannot ruin you.
Similarly, like poker players, we should risk more on trades we feel confident about and less on trades that seem less compelling. However, this should always be subject to overall position sizing constraints.
For example before you put on each trade you might rate the strength of your conviction in the trade and allocate a position size accordingly:
To keep yourself disciplined you should try to ensure that no more than one in twenty trades are graded exceptional and allocated 5% of account balance risk. It really should be a rare moment when all the stars align for you.
Notice that the nice thing about dealing in percentages is that it scales. Say you start out with $100,000 but end the year up 50% at $150,000. Now a 1% bet will risk $1,500 rather than $1,000. That makes sense as your capital has grown.
It is extremely common for retail accounts to blow-up by making only 4-5 losing trades because they are leveraged at 50:1 and have taken on far too large a position, relative to their account balance.
Consider that GBPUSD tends to move 1% each day. If you have an account balance of $10k then it would be crazy to take a position of $500k (50:1 leveraged). A 1% move on $500k is $5k.
Two perfectly regular down days in a row — or a single day’s move of 2% — and you will receive a margin call from the broker, have the account closed out, and have lost all your money.
Do not let this happen to you. Use position sizing discipline to protect yourself.
Kelly CriterionIf you’re wondering - why “about 2%” per trade? - that’s a fair question. Why not 0.5% or 10% or any other number?
The Kelly Criterion is a formula that was adapted for use in casinos. If you know the odds of winning and the expected pay-off, it tells you how much you should bet in each round.
This is harder than it sounds. Let’s say you could bet on a weighted coin flip, where it lands on heads 60% of the time and tails 40% of the time. The payout is $2 per $1 bet.
Well, absolutely you should bet. The odds are in your favour. But if you have, say, $100 it is less obvious how much you should bet to avoid ruin.
Say you bet $50, the odds that it could land on tails twice in a row are 16%. You could easily be out after the first two flips.
Equally, betting $1 is not going to maximise your advantage. The odds are 60/40 in your favour so only betting $1 is likely too conservative. The Kelly Criterion is a formula that produces the long-run optimal bet size, given the odds.
Applying the formula to forex trading looks like this:
Position size % = Winning trade % - ( (1- Winning trade %) / Risk-reward ratio
If you have recorded hundreds of trades in your journal - see next chapter - you can calculate what this outputs for you specifically.
If you don't have hundreds of trades then let’s assume some realistic defaults of Winning trade % being 30% and Risk-reward ratio being 3. The 3 implies your TP is 3x the distance of your stop from entry e.g. 300 pips take profit and 100 pips stop loss.
So that’s 0.3 - (1 - 0.3) / 3 = 6.6%.
Hold on a second. 6.6% of your account probably feels like a LOT to risk per trade.This is the main observation people have on Kelly: whilst it may optimise the long-run results it doesn’t take into account the pain of drawdowns. It is better thought of as the rational maximum limit. You needn’t go right up to the limit!
With a 30% winning trade ratio, the odds of you losing on four trades in a row is nearly one in four. That would result in a drawdown of nearly a quarter of your starting account balance. Could you really stomach that and put on the fifth trade, cool as ice? Most of us could not.
Accordingly people tend to reduce the bet size. For example, let’s say you know you would feel emotionally affected by losing 25% of your account.
Well, the simplest way is to divide the Kelly output by four. You have effectively hidden 75% of your account balance from Kelly and it is now optimised to avoid a total wipeout of just the 25% it can see.
This gives 6.6% / 4 = 1.65%. Of course different trading approaches and different risk appetites will provide different optimal bet sizes but as a rule of thumb something between 1-2% is appropriate for the style and risk appetite of most retail traders.
Incidentally be very wary of systems or traders who claim high winning trade % like 80%. Invariably these don’t pass a basic sense-check:
How to use stop losses sensiblyStop losses have a bad reputation amongst the retail community but are absolutely essential to risk management. No serious discretionary trader can operate without them.
A stop loss is a resting order, left with the broker, to automatically close your position if it reaches a certain price. For a recap on the various order types visit this chapter.
The valid concern with stop losses is that disreputable brokers look for a concentration of stops and then, when the market is close, whipsaw the price through the stop levels so that the clients ‘stop out’ and sell to the broker at a low rate before the market naturally comes back higher. This is referred to as ‘stop hunting’.
This would be extremely immoral behaviour and the way to guard against it is to use a highly reputable top-tier broker in a well regulated region such as the UK.
Why are stop losses so important? Well, there is no other way to manage risk with certainty.
You should always have a pre-determined stop loss before you put on a trade. Not having one is a recipe for disaster: you will find yourself emotionally attached to the trade as it goes against you and it will be extremely hard to cut the loss. This is a well known behavioural bias that we’ll explore in a later chapter.
Learning to take a loss and move on rationally is a key lesson for new traders.
A common mistake is to think of the market as a personal nemesis. The market, of course, is totally impersonal; it doesn’t care whether you make money or not.
Bruce Kovner, founder of the hedge fund Caxton Associates
There is an old saying amongst bank traders which is “losers average losers”.
It is tempting, having bought EURUSD and seeing it go lower, to buy more. Your average price will improve if you keep buying as it goes lower. If it was cheap before it must be a bargain now, right? Wrong.
Where does that end? Always have a pre-determined cut-off point which limits your risk. A level where you know the reason for the trade was proved ‘wrong’ ... and stick to it strictly. If you trade using discretion, use stops.
Picking a clear levelWhere you leave your stop loss is key.
Typically traders will leave them at big technical levels such as recent highs or lows. For example if EURUSD is trading at 1.1250 and the recent month’s low is 1.1205 then leaving it just below at 1.1200 seems sensible.
If you were going long, just below the double bottom support zone seems like a sensible area to leave a stop
You want to give it a bit of breathing room as we know support zones often get challenged before the price rallies. This is because lots of traders identify the same zones. You won’t be the only one selling around 1.1200.
The “weak hands” who leave their sell stop order at exactly the level are likely to get taken out as the market tests the support. Those who leave it ten or fifteen pips below the level have more breathing room and will survive a quick test of the level before a resumed run-up.
Your timeframe and trading style clearly play a part. Here’s a candlestick chart (one candle is one day) for GBPUSD.
If you are putting on a trend-following trade you expect to hold for weeks then you need to have a stop loss that can withstand the daily noise. Look at the downtrend on the chart. There were plenty of days in which the price rallied 60 pips or more during the wider downtrend.
So having a really tight stop of, say, 25 pips that gets chopped up in noisy short-term moves is not going to work for this kind of trade. You need to use a wider stop and take a smaller position size, determined by the stop level.
There are several tools you can use to help you estimate what is a safe distance and we’ll look at those in the next section.
There are of course exceptions. For example, if you are doing range-break style trading you might have a really tight stop, set just below the previous range high.
Clearly then where you set stops will depend on your trading style as well as your holding horizons and the volatility of each instrument.
Here are some guidelines that can help:
For example if you stop understanding why a product is going up or down and your fundamental thesis has been confirmed wrong, get out. For example, if you are long because you think the central bank is turning hawkish and AUDUSD is going to play catch up with rates … then you hear dovish noises from the central bank and the bond yields retrace lower and back in line with the currency - close your AUDUSD position. You already know your thesis was wrong. No need to give away more money to the market.
Coming up in part IIEDIT: part II here
Letting stops breathe
When to change a stop
Entering and exiting winning positions
Coming up in part IIISqueezes and other risks
Crap trades, timeouts and monthly limits
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by Babyelijah to u/Babyelijah [link] [comments]
Binary Options Review; Best Binary Options Brokers
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Part   submitted by whatthefx to Forex [link] [comments]
Not much in terms of adjustments to add from previous post. I'm going to implement all risk adjustments at the weekend. In the meantime I've used some manual hedging to prevent from over exposure.
In this post I'll talk more about the ideal trades I am looking for. The mistakes people make at these areas, and how to build forward looking trade plans so you are less likely to find yourself caught in one of these market traps. I do consider these to be traps. I think price routinely moves in ways that induce market participants to take losing positions. I think this is done in algorithmic fashion and this means it leaves clues in forms of recurring ways laying traps.
This is just an opinion. I don't know.
First we will examine the classic structure of a trend. All examples will use a downtrend.
Basic Recurring Trend Structure:
Basic Trend Structure
Most of you will have seen this before, and probably recognise it as Elliot Wave theory (EWT). Whether or not you think EWT is valid or not, there are some things I think all of us can agree on. That is for the market to be in a downtrend, it has to keep making new lows. If it doesn't, it's not in a downtrend anymore. You'll also probably agree there are retraces in moves. That not often are new lows consistently made without any retrace. In a broad sense, this is all EWT is describing, which makes it noteworthy in good trending conditions.
Here are the points where most mistakes are made by traders in EWT cycles.
Trend Best/Worst Entries
All areas marked off in orange are places where it's easy to make mistakes.
Looking closer, this is what the more detailed price action on these sorts of moves tend to look like on lower timeframes.
Detailed Best/Worst Entries
Brown boxes are where buying mistakes are made. Purple circles are where selling mistakes are made.
We'll look a bit closer at what the specific mistakes are usually based on (conventional technical analysis theories) soon. First here is an example of this on a real AUDUSD chart.
AUDUSD Example Chart
This is a 45 minute chart, so the swings are not as detailed as the ones I've drawn (mine are more like 15 min), but you should be able to see how this concept can be transferred over onto a real chart. All of us who have been trading for a while know there are times we have made these mistakes. Everyone has ended up selling the bottom pip, or getting stopped out right before it reversed. Many of these times (in a trending market) fit into these areas.
This is not just curve fitting. Using rules to help to describe these conditions to pick the best trades and trading against the trades strategy providers offer, I picked up these trades. This was not perfect, what I'm doing needs a lot of work.
Here we can see a couple few of the mistakes. The green lines are profits and orange lines are losses. Here shorting these mistakes has done quite well on the spike out low. It's hard to see, but it also got a lot of good buys at the low. There are some losses at the high, but there is a far larger position accumulated around the mistake level.
See previous analysis on these trades in  
A big trend leg followed this build up of positions and hit take profits where stops were set under the low. This is where people start to sell, but this is also usually a mistake to sell immediately after this breakout.
The types of mistakes made are due to a handful of concepts. Here I've numbered them.
Rules/Rational people have in mind making these mistakes.
1 - Breakout/new high relative to recent leg / stops above previous high on sell/ previous low on buy.
2 - Single candle price action mistake.
3 - Breakout trading rushing in / stops go under recent supports/ over recent resistance.
4 - Break and retest.
5 - Deep correction.
Everything listed above has the potential to be very useful and valid in a technical analysis based strategy. However, in some contexts they are literally the very worst thing you can do. That's the thing about trading, you can do the same thing at different times and get wildly different results. What I'm trying to do here is not find people who lose every trade (I want them to win overall, actually. So I can keep copying them). I just want to work out ways to bet against mistakes they are likely to make. I think people will make these mistakes more reliably than an automated system will pick up trades.
I should add that most of these areas the mistakes happen at will be hit with a lot of velocity. This I think is what triggers the mistakes from so many impulsive traders. The market will amble along in a slow non-threatening / uninteresting sort of way, then suddenly all in a rush make these moves that imply something BIG is happening in a certain direction, when actually it's just about to move against these very positions if you take them. Velocity is one of my key filters.
Let's talk about the end of the two leg correction, this is one of the places I think most of the money is made and lost. At this point in an EWT cycle, the market is gearing up to enter it's strongest move. The best move to trade, and the smart market is going to need to get people on the wrong side. This is usually achieved with three things. One, the market makes it's first false reversal from a 50% retrace, and then moves with a lot of velocity into the 61.8% fib (briefly described in ). Then there's a second false breakout with price trading a little over the 61.8%, followed by a price crash into new lows.
The interesting thing about this move is if you speak to anyone with any sort of interest in EWT, they will tell you this move often completes with a news spike. There is positive news, the market moves quickly in the direction it "should" and then quickly makes a rapid reversal. Sometimes the move on the news makes absolutely no sense what-so-ever fundamentally. but does strike these areas.
Here is the Brexit chart.
Brexit trend continuation from 61.8% spike out pattern
Let's go further back.
Scotland Vote High
Here is where GBP made it's high point. This was after the fantastic fundamental news (apparently) that Scotland was staying in the UK. Price shot up, then began to heavily downtrend. I've marked in the start to the previous swing with a line, if you check these fibs you'll see it fits with the mistake. We are now in the part of cycle where GBP is aggressive pulling away from the range where the false reversals happened. This is punishing those who bought in this range, and we should expect to see it end in a violent spike down. Remember the people who thought buying Sterling after Brexit was free money? Nah uh.
This happens a lot. When it happens I see people trying to explain it with all sorts of theories. Usually involving the saying "priced in already". People often refer to these in aloof and vague ways, as if there was no way we could have ever known, and it's certainly not worth trying to forecast these sorts of things ... but next time you see this, have a quick check and see if we happened to be in a correction that spiked out a 50% high and reversed around 61.8%. It is wiser to look at what happened than take wild guesses as to why. I am not saying that it always it, nor am I saying it works like magic. I'm just saying it can be quantified. When someone says, "Well you see it was not what was said, or the number, but what was inferred ...", really means nothing. It's an opinion. We're better to look for things we can test, in my view at least.
So, let me talk you through the mental mindset of people when they're making these mistakes. I'm going to use this big Sterling chart, so this will also be a bit of a price forecast.
Mistakes Thinking Patterns.
1 - Price has been going up strongly, it's retraced and there is a single candle PA buy signal. Sets people up to take a horrible trade.
2 - Price has been falling hard and made yet another breakout, it's an easy sell ...
3 - This has fell too far, it's a reversal now. Look how strong it is.
4 - This is a strong breakout and this must be the start of a bigger move.
5 - Wow, it's broke the lows and look how hard it's falling, big sell time.
I think we will see stage 5 complete around 1.190. I think we may be due a fast move into this. Maybe in the coming week or two. It would be typical of the spike nature of end of this sort of move that this will be a single candle of over 150 pips that fills this. Being and holding GBPUSD shorts targeting 1.196 seems a great idea to me.
These five mistakes, made at these handful of areas are the ones I wanting to trade against, and if you'd like to be a profitable trader, are the places you should be looking for entries.
Algorithm Trading Marketsubmitted by hannah_jack to TechInsightreports [link] [comments]
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Article by Forbes: Joresa Blount
In 2018, Asia was one of the leading regions in terms of growth of blockchain jobs, cryptocurrency usage, innovation, and general openness. Despite some early woes with China banning ICOs, China still produces nearly 70% of crypto mining activity.
For users and entrepreneurs, the Asian ecosystem is in general a friendly one. For example, in Singapore Bitcoin is taxed as a good rather than a currency, setting a 7% flat tax for trades or purchases using Bitcoin. In Japan, messenger giant, LINE, was just granted a crypto exchange license from the Japanese financial regulator. In Korea, news just broke that the country’s largest entertainment company would be launching its own token.
Besides the name brand companies that are exploring crypto solutions, there are hundreds of innovative startups and founders looking to radically disrupt their respective industries with blockchain technology. This list contains ten innovative blockchain startups based in Asia worth watching, including exchanges, fintech startups, and more.
Today In: Innovation
Level01 is the world’s first broker less derivatives exchange in collaboration with Thomson Reuters. Through using blockchain technology, the platform eliminates middlemen while providing a decentralized trading experience. Users can trade derivatives and options in forex, cryptocurrencies, commodities, stocks and indices, all from the Level01 platform and app.
Level01 does this by using Distributed Ledger Technology (DLT) for transparent and automated trade settlement on the blockchain, with their unique Artificial Intelligence (AI) analytics called Fairsense that provides fair value pricing dynamically to counterparties in a trade, based on current and retrospective market data from Thomson Reuters. The platform and app are currently undergoing stringent beta testing by 50 experienced traders.
2. Galaxy Pool
Galaxy Pool, also known as GPO, is a brand-new asset issuance style on blockchain that utilizes intelligent contracts for initial digital asset issuance. In general, GPO assets can be best described as mining machines used to explore various kinds of digital assets that can obtain value-added benefits of GPO through the repurchase and destruction of pond profits.
With this brand-new asset issuance style on blockchain, more humanistic investment opportunities with free withdrawal rights can be provided to investors.
Headquartered in Singapore, BiKi.com is a global cryptocurrency exchange ranked Top 20 on CoinMarketCap. BiKi.com provides a digital assets platform for trading more than 150 cryptocurrencies and 220 trading pairs. Since its official opening in August 2018, BiKi.com is considered one of the fastest-growing cryptocurrency exchanges in the world with an accumulated 1.5 million registered users, 130,000 daily active users, over 2000 community partners and 200,000 community members in under a year.
BiKi’s competitive advantages include helping projects with marketing, influencers, brand awareness, and community growth in the Chinese markets and abroad. With a global approach, BiKi also helps Chinese companies go global and international companies penetrate Chinese markets.
With a global team of over 100 people, Whitebit is a professional digital asset trading platform that services most major Asian markets via a European license. The exchange holds 95% of user funds in cold wallets and offers users an intuitive user interface with real-time orderbooks, charting and technical analysis tools, and automation features. Whitebit’s major competitive advantage is processing speeds of up to 10,000 trades every second and 1,000,000 TCP connections.
Whitebit has also announced the release of S.M.A.R.T. Box, a program that allows users to budget and allocate funds based on unique plans with varying durations and interest rates. Next is the launch of margin trading in Q4 2020, as well as mobile iOS and Android apps and an eventual US license.
5. Opu Labs
Opu Labs is creating the self-care business model of the future starting with the skincare space. There are over 1.2 billion online skincare consumers with a $3 billion digital services business. Opu Labs helps make the decision-making process easier by offering free advice powered by AI, rewarding users for their purchase data using blockchain technology, and using robust technologies to connect brands and consumers.
Under the leadership of CEO Marc Bookman, Opu Labs was named in the top 25 healthcare solutions by CIO Applications and won the start-up GrandSlam in Singapore. To date, $2m in rewards have been earned on the platform and the company will be releasing their long-awaited apps soon.
Thanks to his vast expertise, experience, and sense of the market, Nikolay Udianskyi created a high-quality crypto exchange called Coinsbit.io. Now leading the Asian crypto market, Coinsbit was named the best 2018 crypto exchange at Asian Blockchain Life 2019.
Coinsbit is planning to further distinguish itself from the competition through a series of novel functions. Among its plans is a P2P microfinancing lending service that will enable users to borrow and lend money on the platform. Coinsbit will ensure privacy for all users and will not require borrowers to show their credit history. An additional planned feature is an invest box service, which will reward users who deposit cryptocurrency by paying them interest on various coins.
7. GST Coin
GST is a comprehensive digital application platform which integrates encrypted payment currency, blockchain and artificial intelligence technology. It is dedicated to providing the most valuable intelligent digital asset service for every user and creating a new GST digital public chain in a diversified market structure. GST project is committed to using the most advanced technology to create the most perfect user experience, and it has always been in the forefront of the market in the decentralized security sharing architecture.
GST was born out of MHC Asset Management Corporation, a high-tech enterprise engaged in R&D and innovation of blockchain technology. Their executive team includes CEO Ms. Zhang Qun and other leading technologists and entrepreneurs in China.
Columbu (CAT) is a global community-based open-source blockchain project that has been active since 2017. Under CTO David Su, CAT’s main focus is building a high-performance DAPP development platform and community encouraging and autonomous system based on software and hardware combined GCloud Everest computing platform. This is the world’s first public blockchain (distributed cloud) using CUDA and blockchain technology.
The project will allow for a worldwide distributed and free economic collaborative network of intelligent economies. This will happen through a community incentive mechanism and autonomous system to build in real-time. The project has an ambitious roadmap that will include growing its global developer community and other projects within their ecosystem.
Registered in Singapore, KBC is the powering token of a global financial infrastructure and range of products focused around gold. These products include an innovative Voice-over-Blockchain smartphone called IMpulse K1, a crypto payment merchant processor called K-Merchant, and a cryptocurrency exchange and trading platform. Together these products and entities combine to form the Gold Imperium, the company’s financial ecosystem.
The company has attracted heavy interest from users who have seen the benefits of having both gold and cryptocurrency exposure, as well as the ease of use of being able to use each day to day through tokens such as KBC. As both markets expand, keep an eye on KBC.
TEXCENT is a Singaporean blockchain and fintech startup focused on fully-integrated solutions for remittance, payments, and microfinancing. Using blockchain technology, the company wants to provide seamless and convenient digital financial services solutions to Asia and the world. TEXCENT is currently focusing on the Philippines, Vietnam, Thailand as these markets will grow exponentially in the next 5 years.
Their current products include PAYCENT, an app and hybrid wallet, as well as TEXCENT, a remittance solution with zero fees. TEXCENT has already acquired a remittance license from the Monetary Authority of Singapore (MAS) and is in the process of getting similar licenses for UK, Malaysia and Hong Kong in the coming months. The company is also a member of the Singapore Fintech Association.
With a combination of oil strongly selling off, dragging down oil producing countries currencies, along with the stock markets sliding giving increased buying pressure to the safe haven currencies, it seems like CAD/JPY short offers an ideal strong/weak trade combination.submitted by inweedwetrust to Forex [link] [comments]
Edit - Day chart day after posting analysis.
Technical analysis also supports this, with CAD/JPY wicking into support a few days ago but having rebroke that low in the fall over the last 24 hours.
This looks like a really good time to follow a simple "sell bounces" strategy on CAD/JPY.
I will be looking for initial entries at 83.70 - 83.75. Stops just behind 84. 83.20 minimum target area, but probably see how far it can run trailing stops.
Edit: Initial trade filled sell/profit level. Updated analysis here https://www.reddit.com/Forex/comments/a7mz00/cadjpy_stongweak/ec48q56/
edit: well, no-one else seems to agree, but none-the-less, selling bounces is like shooting fish in a barrel. https://imgur.com/a/K5F5EEO
edit3: Okay, we turned right in the reversal zone of 83.70, we are now under 82.70 - 100 pips, couple nice RR trades. Winding it down now, only a few little position left in the market. https://imgur.com/a/0diVVb0
edit3: Filled profit cluster. I'm out. My other positions in the market now are nominal. Wrapping it up now. https://imgur.com/a/8W27LaX
Final edit: All out. 1:5 RR hit for my last trades. https://imgur.com/a/AtMfnun
That is probably me for the year, unless something else really obvious comes up.
Cheeky little scalp long, this is uber oversold now and due a snap back. https://imgur.com/a/ukI23lm
Market as still weak lol. I got stopped out a bit of this, hit targets on a bit. Entered retest of close to lows targeting my initial entry area - this will give me a net profitable position if we retest there and I can free-roll for a larger profit if the market puts in bigger correction. https://imgur.com/a/KLtDSxx
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