Trading Forex Without Stop-Loss? - EarnForex

Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
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 getmrmarket to Forex [link] [comments]

I've been out of control for 2 years, spending an average of 7154,85€ / month...

Yes, this is the day. My accountant made the calculations for 2019 income and corporate tax. It's 37580,39€ combined which i have to pay at the end of feb 2021.
I was shocked, to say the least. My business is doing well, so i will have no problem paying that, but that really got me thinking, i need to get frugal NOW!
So here are my expenses, which i never displayed like this before:
2020 expenses
This shit is not sustainable (it is, but i hate to pay taxes and wasting money like this) and i will cut back pretty hard this year.
 
....a little background...
I started selling stuff online mid 2014 and got to 1Mil gross/year in 2017 netting around 12-15%. I was young (31 lol) and stupid, so i bought 2 cars, expensive ones, 0% loans at least(wow i'm so smart)....
Fast forward, i now pay 7154,85€ every month to keep this useless bimbo lifestyle which ich absolutely HATE looking at these numbers...
I do prepay some incometax but it is not nearly enough, so i anticipate to pay 2k/month on top of this for the next year starting March 2021
 
As you can clearly see, i did and am doing all the mistakes a douchbag can do
 
I hate myself so much right now, seeing all the money drained which could have doubled my income when used the right way, i'm in tears...
I did trade a lot of forex in 2010 to 2012, of course loosing money on the way, one thing i learned tho was to use a stop loss, which will cancel any open trade when reaching a certain value. So i'm pulling the stop loss on my spending right now, as i can't take it anymore.
This measures will free up around 3500€/month at least, which will go to tax prepayment and the other car loan.
Oh boy, writing this down has done so much for me the last hour, i will go even further, cutting everything i can. Can you believe that the isurance for my car is 1000€/year? lol, hear's to having a 300 hp car. New tires are ~850€.
I'm fucking done with all this, the only thing i will spend more on is my body and mind, healthier food, sports. I can't wait.
Thank you for reading, if you did. Hope you don't make the same mistakes i do/did.
 
Cheers.
submitted by Blott0 to Frugal [link] [comments]

The intelligent investors guide to cryptocurrency: Part 3b - Pricing and liquidity

*Introductions: I'm joskye. A cryptocurrency investor and holder. *
...
 
Hi again. This is the third part in our ongoing series on how to trade better and determine intelligent investments in cryptocurrency for the future.
 
 
Part 3b continues where I left off with a discussion about price metrics specifically, what determines the price and the importance of liquidity:
...
 
The day traders:
 
As I mentioned in my previous article, as of writing almost every cryptocurrency is determined purely by speculative value.
 
 
For instance in cryptocurrency Bitcoin is still the biggest player in the game. It carries a per unit price of $900 per coin. There are currently 16,090,137 (16 million) coins in circulation giving it a total marketcap value of [$900 x 16090137 =] $14481123300 or 14.48 billion USD.
 
 
Shadowcash looks even more meagre compared to the total cryptocurrency marketcap with only 0.048% of the total cryptocurrency sphere.
To any Shadowcash holders despairing at this point, relax. There are over 707 cryptocurrencies trading as of writing and SDC holds the 27th ranking in terms of market cap. In such a competitive field, filled with scams that's pretty good. Moreso when you consider that SDC is a legitimate technology and is currently probably very undervalued.
...
 
Lets look at the rich list for bitcoin:
 
Why did I just talk about this?
 
In cryptocurrency I see this happening on the markets all the time. Indeed market manipulation effects every single cryptocurrency eventually.
...
 
Market manipulation!
 
Large holders of valuable, high marketcap coins will often make multiple small volume purchases of less valuable, low marketcap coins. Often this will follow announcements regarding developments in that low marketcap coin.
 
 
Low volume buying in a market with low daily trading volume can gradually drive up the price attracting an influx of buyers into that coin; often they will make larger volume purchases of it which helps drive up the price much further. This will trigger a further chain of buyers experiencing FOMO (fear of missing out, detailed in Part 2) who will drive up the price even further. The price will pump. Often will smaller cap cryptocurrencies this may result in a sudden 20, 40, 60 or even +100% increase in value often over a very short time space (1-2 days, 1-2 weeks maximum).
 
 
The only way to discern if the sudden rise in coin value is due to pre-rigged market manipulation is to look at:
 
You are looking for organic, gradual growth based on a solid value proposition. Sudden large spikes in value should make you pause and wonder if it's worth waiting for a gradual correction (organic drop) in price before entering your buy order.
 
Do not fall for a pump and dump. Stick to the lessons covered in previous parts of this guide (especially part 3a and 2) and you will be much less likely to lose money in the long run trading and investing in cryptocurrencies.
...
 
The pattern of change on daily trading volume, the order book and liquidity:
 
Lets look at SDC and Bitcoin again. This time we are going to compare the daily trading volume (last 24 hours) in USD.
 
 
I'd just like to use this opportunity to point out and reinforce the idea that day traders not holders dictate the daily price of an asset. I'd also like to point out daily global trading volume on Forex is $4800 billion which makes Bitcoin a very small fish in the broader arena of global finance and trade i.e. Bitcoin is still very vulnerable to all the price manipulation tactics and liquidity issues I am going to be describing in this article by bigger players with richer pockets.
 
 
The daily trading volume also gives you an idea of how much fiat currency you can invest into a given cryptocurrency before you suddenly shift the price.
 
 
A sudden rise in coin price heavily out of proportion to the rise in daily trading volume should be the first sign to alert you to a pump & dump scam.
 
Daily trading volume should show a steady increase over time with sustained buy support at new price levels; this is a good marker of organic, sustainable growth.
...
 
For more detail you can now look at the depth chart:
 
The depth chart is very useful to know how much fiat currency is required to cause the spot price of a given cryptocurrency to rise or fall by a given amount.
 
NB the price of most cryptocurrencies is expressed in Bitcoin because it has the largest market cap and daily trading volume of all cryptocurrencies by a very large margin and because with a few exceptions (Ethereum, Monero) most cryptocurrencies do not have routes to directly purchase via fiat currency without first purchasing Bitcoin.
 
Liquidity is super important. People often complain about a market lacking liquidity but that is often because they are trading in fiat volumes which far exceed the daily trading fiat volumes of the cryptocurrency they are referring to. If you are investing or trading in a cryptocurrency, always factor in the your personal liquidity and need for liquidity relative to that of the cryptocurrency you are investing in. In other words don't expect to make a profit next day selling 'cryptocurrency x' if the size your single buy order composes >90% of the buy orders on the market for 'cryptocurrency x' that day (indeed in such a scenario be very prepared to sell at a loss next day if you absolutely have to)!
 
 
There are certain patterns on a depth chart that make me believe a significant, sustained price rise is imminent: One example occurs when there is a very large volume of buy orders (>25% of total buy volume within 5% of current price) very close to the current (spot) price, and a very large number of sell orders close to but significantly above the spot price (approx 25% total sell volume within 10% of current price) and especially if the total buy order volume is a significantly higher percentage than it has previously been. This simply indicates high demand at current price which may soon outstrip supply. Again I stress that these patterns can be manipulated easily by wealthy traders.
 
...
 
The order book is another way of looking at the depth chart and allows you to see the specific transactions occurring that compose daily trading volume by the second!
 
I find it useful because it allows me to identify:
 
...
 
The price charts:
 
Discussions about price charts could be endless. I'm not going to go into too much detail, mostly because I'm an investor who believes the value proposition, good consistent development, decent marketing and communications will ultimately trump spot prices and adverse (or positive) short term price trends in the future.
...
 
The news cycle:
 
...
 
Other interesting points: The 'coin x' scenario and the ridiculousness of marketcap:
 
'Coin X' is an imaginary hypothetical coin. There are only 10 in circulation. It has no value proposition beyond it's speculative value i.e. it will never generate a revenue independent of it's speculative value.
 
 
I'd like to point out the similarities between ZCash and 'coin x' (especially during it's launch).
...
 
Lessons:
 
 
...
 
References:
1. Coinmarketcap rankings: https://coinmarketcap.com/all/views/all/ 2. Coinmarketcap daily trading volumes https://coinmarketcap.com/currencies/volume/24-hou 3. Bitinfocharts - Top 100 Richest Bitcoin addresses: https://bitinfocharts.com/top-100-richest-bitcoin-addresses.html 4. Crypto ID - Shadowcash Rich list: https://chainz.cryptoid.info/sdc/#!rich 
 
...
 
Further articles in this series:
 
"The intelligent investors guide to cryptocurrency"
 
Part 0 -
Part 1 -
Part 2 -
Part 3a -
Part 3b -
Part 4 -
Part 5 -
Part 6 -
Part 7a -
 
"The intelligent investors guide to Particl -"
 
 
Full disclosure/Disclaimer: At time of original writing I had long positions in Ethereum (ETH), Shadowcash (SDC), Iconomi (ICN), Augur (REP) and Digix (DGD). All the opinions expressed are my own. I cannot guarantee gains; losses are sustainable; do your own financial research and make your decisions responsibly. All prices and values given are as of time of first writing (Midday 8th-Jan-2017).
 
Second disclaimer: Please do not buy Shadowcash (SDC), the project has been abandoned by it's developers who have moved on to the Particl Project (PART). The PARTICL crowd fund and SDC 1:1 token swap completed April 15th. You can still exchange SDC for PART but only if it was acquired prior to 15th April 2017 see: https://particl.news/a-community-driven-initiative-e26724100c3a for more information.
 
Addendum: Article updated 23-11-2017 to edit references to SDC (changed to Particl where relevant to reflect updated status) and clean up formatting.
submitted by joskye to Particl [link] [comments]

Financial Times: Trader transcripts: 'If you ain’t cheating, you ain’t trying' -

Financial Times: Trader transcripts: 'If you ain’t cheating, you ain’t trying'
May 20, 2015
They were known as the “Cartel” or the “Mafia” among their peers. The unsubtle nicknames were given to a group of traders who at one time worked for five of the six banks that reached settlements on Wednesday with regulators over allegations they rigged the foreign exchange markets.
Transcripts from chatrooms used by those traders and others as they attempted to manipulate forex benchmarks and engaged in misleading sales practices towards their clients were published as part of the settlements.
Below is a selection of the exchanges (including original punctuation) from the settlements between Barclays and the New York State Department of Financial Services and the UK’s Financial Conduct Authority:
● Membership of the chatroom used by the “Cartel” was by invitation only. The FT has previously named the members of the “Cartel” as Rohan Ramchandani, Citi’s European head of spot trading, and Richard Usher, who moved from RBS to become JPMorgan’s chief currency dealer in London, and Matt Gardiner, who was at Barclays before joining UBS.
One Barclays trader, Chris Ashton, was desperate to join the chatroom when he became the bank’s main euro trader in 2011. After discussions as to whether the trader “would add value”, he was invited to join for a one-month “trial” but was warned by Mr Ramchandani: “Mess this up and sleep with one eye open at night.” Mr Ashton passed his “trial” and remained in the chatroom until it was shut down at some point in 2012.
● Traders used various strategies to try to manipulate fix rates, according to the NYDFS.
One method, known as “building ammo”, involved one trader building a large position in a currency and then unloading it just before or during the “fixing period” — a short period of time during which an average price is produced, at which large client transactions are executed — in an attempt to move the price favourably.
On January 6 2012, the head of Barclays’ FX spot desk in London attempted to manipulate the reference rate set by the European Central Bank by unloading €500m at the time of the fix. He wrote in the Cartel chatroom “I saved 500 for last second” and in another, “i had 500 to jam it.”
Another method was for traders at rival banks to agree to stay out of each other’s way at the time of the fix.
In one example, from June 2011, a Barclays trader told a counterpart at HSBC that another trader was building orders to execute at the fix contrary to HSBC’s orders. But the Barclays trader assisted HSBC by executing trades ahead of the fix to decrease the other trader’s orders. He wrote: “He paid me for 186 . . . so shioud have giot rid of main buyer for u.”
In another chat in December 2011, a Barclays trader told another at Citigroup: “If u bigger. He will step out of the way . . . We gonna help u.”
In the another example, traders in the US dollar-Brazilian real market colluded to manipulate it by agreeing to boycott local brokers to drive down competition. In October 2009, a trader at Royal Bank of Canada wrote: “everybody is in agreement in not accepting a local player as a broker?” A Barclays forex trader replied: “yes, the less competition the better.”
● Then there were numerous occasions, according to the NYDFS, from at least 2008 to 2014 when Barclays employees on the forex sales team engaged in misleading sales practices with clients by applying “hard mark-ups” to the prices that traders gave the sales team.
The level of mark-up was determined by calculating the best rate for Barclays that would not lead the client to question whether executing the transaction with the bank was a good idea.
One Barclays forex salesperson wrote in a chat to an employee at another bank in December 2009: “hard mark up is key . . . but i was taught early . . . u dont have clients . . . u dont make money . . . so dont be stupid.”
These mark-ups were a key source of revenue to Barclays, and generating them was made a high priority for sales managers. As a Barclays’ vice-president in New York (who later became co-head of UK FX hedge fund sales) wrote in a November 2010 chat: “markup is making sure you make the right decision on price . . . which is whats the worst price i can put on this where the customers decision to trade with me or give me future business doesn’t change . . . if you aint cheating, you aint trying.”
● In the FCA settlement, the regulator details an exchange between traders at Barclays and three other firms, refered to as X, Y and Z. Barclays was trying to trigger a client stop-loss order to buy £77m at a rate of 95 against another currency. If it could trigger the order, it would result in Barclays selling £77m to its client and the bank would profit it the average rate at which the bank had bought sterling in the market was below the rate at which the client had agreed to buy it.
In one exchange, firm X asked Barclays and firms Y and Z if they had any stop-loss orders — “u got...stops?” Barclays replied to say it had one for “80 quid” at a level of 95 and noted it was “primed like a coiled cobra...concentrating so hard...[as if] made of wax...[haven’t] even blinked”.
● While most of the settlements concerned manipulation of foreign exchange benchmarks, UBS inked a deal with the US Department of Justice in which it agreed to plead guilty to rigging Libor.
In once example, a broker commented to a UBS trader after a Yen Libor fix on June 10 2009: “mate yur getting bloody good at this libor game . . . think of me when yur on yur yacht in monaco wont yu”
In another conversation with a UBS trader after a Libor Yen fix on August 22 2008, a broker, identified as A1, commented about another broker, A2: “think [broker-A2] is your best broker in terms of value added :-)”.
The trader replied: “yeah . . . i reckon i owe him a lot more”, to which broker-A1 responded: “he’s ok with an annual champagne shipment, a few [drinking sessions] with [his supervisor] and a small bonus every now and then.”
submitted by wazzzzah to inthenews [link] [comments]

Financial Times: Trader transcripts: 'If you ain’t cheating, you ain’t trying' -

Financial Times: Trader transcripts: 'If you ain’t cheating, you ain’t trying'
May 20, 2015
They were known as the “Cartel” or the “Mafia” among their peers. The unsubtle nicknames were given to a group of traders who at one time worked for five of the six banks that reached settlements on Wednesday with regulators over allegations they rigged the foreign exchange markets.
Transcripts from chatrooms used by those traders and others as they attempted to manipulate forex benchmarks and engaged in misleading sales practices towards their clients were published as part of the settlements.
Below is a selection of the exchanges (including original punctuation) from the settlements between Barclays and the New York State Department of Financial Services and the UK’s Financial Conduct Authority:
● Membership of the chatroom used by the “Cartel” was by invitation only. The FT has previously named the members of the “Cartel” as Rohan Ramchandani, Citi’s European head of spot trading, and Richard Usher, who moved from RBS to become JPMorgan’s chief currency dealer in London, and Matt Gardiner, who was at Barclays before joining UBS.
One Barclays trader, Chris Ashton, was desperate to join the chatroom when he became the bank’s main euro trader in 2011. After discussions as to whether the trader “would add value”, he was invited to join for a one-month “trial” but was warned by Mr Ramchandani: “Mess this up and sleep with one eye open at night.” Mr Ashton passed his “trial” and remained in the chatroom until it was shut down at some point in 2012.
● Traders used various strategies to try to manipulate fix rates, according to the NYDFS.
One method, known as “building ammo”, involved one trader building a large position in a currency and then unloading it just before or during the “fixing period” — a short period of time during which an average price is produced, at which large client transactions are executed — in an attempt to move the price favourably.
On January 6 2012, the head of Barclays’ FX spot desk in London attempted to manipulate the reference rate set by the European Central Bank by unloading €500m at the time of the fix. He wrote in the Cartel chatroom “I saved 500 for last second” and in another, “i had 500 to jam it.”
Another method was for traders at rival banks to agree to stay out of each other’s way at the time of the fix.
In one example, from June 2011, a Barclays trader told a counterpart at HSBC that another trader was building orders to execute at the fix contrary to HSBC’s orders. But the Barclays trader assisted HSBC by executing trades ahead of the fix to decrease the other trader’s orders. He wrote: “He paid me for 186 . . . so shioud have giot rid of main buyer for u.”
In another chat in December 2011, a Barclays trader told another at Citigroup: “If u bigger. He will step out of the way . . . We gonna help u.”
In the another example, traders in the US dollar-Brazilian real market colluded to manipulate it by agreeing to boycott local brokers to drive down competition. In October 2009, a trader at Royal Bank of Canada wrote: “everybody is in agreement in not accepting a local player as a broker?” A Barclays forex trader replied: “yes, the less competition the better.”
● Then there were numerous occasions, according to the NYDFS, from at least 2008 to 2014 when Barclays employees on the forex sales team engaged in misleading sales practices with clients by applying “hard mark-ups” to the prices that traders gave the sales team.
The level of mark-up was determined by calculating the best rate for Barclays that would not lead the client to question whether executing the transaction with the bank was a good idea.
One Barclays forex salesperson wrote in a chat to an employee at another bank in December 2009: “hard mark up is key . . . but i was taught early . . . u dont have clients . . . u dont make money . . . so dont be stupid.”
These mark-ups were a key source of revenue to Barclays, and generating them was made a high priority for sales managers. As a Barclays’ vice-president in New York (who later became co-head of UK FX hedge fund sales) wrote in a November 2010 chat: “markup is making sure you make the right decision on price . . . which is whats the worst price i can put on this where the customers decision to trade with me or give me future business doesn’t change . . . if you aint cheating, you aint trying.”
● In the FCA settlement, the regulator details an exchange between traders at Barclays and three other firms, refered to as X, Y and Z. Barclays was trying to trigger a client stop-loss order to buy £77m at a rate of 95 against another currency. If it could trigger the order, it would result in Barclays selling £77m to its client and the bank would profit it the average rate at which the bank had bought sterling in the market was below the rate at which the client had agreed to buy it.
In one exchange, firm X asked Barclays and firms Y and Z if they had any stop-loss orders — “u got...stops?” Barclays replied to say it had one for “80 quid” at a level of 95 and noted it was “primed like a coiled cobra...concentrating so hard...[as if] made of wax...[haven’t] even blinked”.
● While most of the settlements concerned manipulation of foreign exchange benchmarks, UBS inked a deal with the US Department of Justice in which it agreed to plead guilty to rigging Libor.
In once example, a broker commented to a UBS trader after a Yen Libor fix on June 10 2009: “mate yur getting bloody good at this libor game . . . think of me when yur on yur yacht in monaco wont yu”
In another conversation with a UBS trader after a Libor Yen fix on August 22 2008, a broker, identified as A1, commented about another broker, A2: “think [broker-A2] is your best broker in terms of value added :-)”.
The trader replied: “yeah . . . i reckon i owe him a lot more”, to which broker-A1 responded: “he’s ok with an annual champagne shipment, a few [drinking sessions] with [his supervisor] and a small bonus every now and then.”
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