Welcome to the third and final part of this chapter.submitted by getmrmarket to Forex [link] [comments]
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Squeezes and other risksWe are going to cover three common risks that traders face: events; squeezes, asymmetric bets.
EventsEconomic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.
SqueezesShort squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.
There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.
Asymmetric lossesAlso known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.
Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.
Market positioningWe have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.
A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.
Raw format is kinda hard to work with
However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.
But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.
Bet correlationRetail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.
Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?
Crap trades, timeouts and monthly limitsOne common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.
Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.
That's a wrap on risk managementThanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
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.
Thanks for all the upvotes and comments on the previous pieces:submitted by getmrmarket to Forex [link] [comments]
Before you understand the core concepts of pricing in and second order thinking, price reactions to events can seem mystifying at times
We'll add one thought-provoking quote. Keynes (that rare economist who also managed institutional money) offered this analogy. He compared selecting investments to a beauty contest in which newspaper readers would write in with their votes and win a prize if their votes most closely matched the six most popularly selected women across all readers:
It is not a case of choosing those (faces) which, to the best of one’s judgment, are really the prettiest, nor even those which average opinions genuinely thinks the prettiest. We have reached the third degree where we devote our intelligences to anticipating what average opinion expects the average opinion to be.
Trading is no different. You are trying to anticipate how other traders will react to news and how that will move prices. Perhaps you disagree with their reaction. Still, if you can anticipate what it will be you would be sensible to act upon it. Don't forget: meanwhile they are also trying to anticipate what you and everyone else will do.
Preparing for quantitative and qualitative releasesThe majority of releases are quantitative. All that means is there’s some number. Like unemployment figures or GDP.
Historic results provide interesting context. We are looking below the Australian unemployment rate which is released monthly. If you plot it out a few years back you can spot a clear trend, which got massively reversed. Knowing this trend gives you additional information when the figure is released. In the same way prices can trend so do economic data.
A great resource that's totally free to use
This makes sense: if for example things are getting steadily better in the economy you’d expect to see unemployment steadily going down.
Knowing the trend and how much noise there is in the data gives you an informational edge over lazy traders.
For example, when we see the spike above 6% on the above you’d instantly know it was crazy and a huge trading opportunity since a) the fluctuations month on month are normally tiny and b) it is a huge reversal of the long-term trend.
Would all the other AUDUSD traders know and react proportionately? If not and yet they still trade, their laziness may be an opportunity for more informed traders to make some money.
Tradingeconomics.com offers really high quality analysis. You can see all the major indicators for each country. Clicking them brings up their history as well as an explanation of what they show.
For example, here’s German Consumer Confidence.
There are also qualitative events. Normally these are speeches by Central Bankers.
There are whole blogs dedicated to closely reading such texts and looking for subtle changes in direction or opinion on the economy. Stuff like how often does the phrase "in a good place" come up when the Chair of the Fed speaks. It is pretty dry stuff. Yet these are leading indicators of how each member may vote to set interest rates. Ed Yardeni is the go-to guy on central banks.
Data surprise indexThe other thing you might look at is something investment banks produce for their customers. A data surprise index. I am not sure if these are available in retail land - there's no reason they shouldn't be but the economic calendars online are very basic.
You’ll remember we talked about data not being good or bad of itself but good or bad relative to what was expected. These indices measure this difference.
If results are consistently better than analysts expect then you’ll see a positive number. If they are consistently worse than analysts expect a negative number. You can see they tend to swing from positive to negative.
Mean reversion at its best! Data surprise indices measure how much better or worse data came in vs forecast
There are many theories for this but in general people consider that analysts herd around the consensus. They are scared to be outliers and look ‘wrong’ or ‘stupid’ so they instead place estimates close to the pack of their peers.
When economic conditions change they may therefore be slow to update. When they are wrong consistently - say too bearish - they eventually flip the other way and become too bullish.
These charts can be interesting to give you an idea of how the recent data releases have been versus market expectations. You may try to spot the turning points in macroeconomic data that drive long term currency prices and trends.
Using recent events to predict future reactionsThe market reaction function is the most important thing on an economic calendar in many ways. It means: what will happen to the price if the data is better or worse than the market expects?
That seems easy to answer but it is not.
Consider the example of consumer confidence we had earlier.
One clue is to look at what happened to the price of risk assets at the last event.
For example, let’s say we looked at unemployment and it came in a lot worse than forecast last month. What happened to the S&P back then?
2% drop last time on a 'worse than expected' number ... so it it is 'better than expected' best guess is we rally 2% higher
So this tells us that - at least for our most recent event - the S&P moved 2% lower on a far worse than expected number. This gives us some guidance as to what it might do next time and the direction. Bad number = lower S&P. For a huge surprise 2% is the size of move we’d expect.
Again - this is a real limitation of online calendars. They should show next to the historic results (expected/actual) the reaction of various instruments.
Buy the rumour, sell the factA final example of an unpredictable reaction relates to the old rule of ‘Buy the rumour, sell the fact.’ This captures the tendency for markets to anticipate events and then reverse when they occur.
Buy the rumour, sell the fact
In short: people take profit and close their positions when what they expected to happen is confirmed.
So we have to decide which driver is most important to the market at any point in time. You obviously cannot ask every participant. The best way to do it is to look at what happened recently. Look at the price action during recent releases and you will get a feel for how much the market moves and in which direction.
Trimming or taking off positionsOne thing to note is that events sometimes give smart participants information about positioning. This is because many traders take off or reduce positions ahead of big news events for risk management purposes.
Imagine we see GBPUSD rises in the hour before GDP release. That probably indicates the market is short and has taken off / flattened its positions.
The price action before an event can tell you about speculative positioning
If GDP is merely in line with expectations those same people are likely to add back their positions. They avoided a potential banana skin. This is why sometimes the market moves on an event that seemingly was bang on consensus.
But you have learned something. The speculative market is short and may prove vulnerable to a squeeze.
Two kinds of reversalsFairly often you’ll see the market move in one direction on a release then turn around and go the other way.
These are known as reversals. Traders will often ‘fade’ a move, meaning bet against it and expect it to reverse.
Logical reversalsSometimes this happens when the data looks good at first glance but the details don’t support it.
For example, say the headline is very bullish on German manufacturing numbers but then a minute later it becomes clear the company who releases the data has changed methodology or believes the number is driven by a one-off event. Or maybe the headline number is positive but buried in the detail there is a very negative revision to previous numbers.
Fading the initial spike is one way to trade news. Try looking at what the price action is one minute after the event and thirty minutes afterwards on historic releases.
Some reversals don't make sense
Sometimes a reversal happens for seemingly no fundamental reason. Say you get clearly positive news that is better than anyone expects. There are no caveats to the positive number. Yet the price briefly spikes up and then falls hard. What on earth?
This is a pure supply and demand thing. Even on bullish news the market cannot sustain a rally. The market is telling you it wants to sell this asset. Try not to get in its way.
Some key releasesAs we have already discussed, different releases are important at different times. However, we’ll look at some consistently important ones in this final section.
Interest rates decisionsThese can sometimes be unscheduled. However, normally the decisions are announced monthly. The exact process varies for each central bank. Typically there’s a headline decision e.g. maintain 0.75% rate.
You may also see “minutes” of the meeting in which the decision was reached and a vote tally e.g. 7 for maintain, 2 for lower rates. These are always top-tier data releases and have capacity to move the currency a lot.
A hawkish central bank (higher rates) will tend to move a currency higher whilst a dovish central bank (lower rates) will tend to move a currency lower.
A central banker speaking is always a big event
Non farm payrollsThese are released once per month. This is another top-tier release that will move all USD pairs as well as equities.
There are three numbers:
In general a positive response should move the USD higher but check recent price action.
Other countries each have their own unemployment data releases but this is the single most important release.
SurveysThere are various types of surveys: consumer confidence; house price expectations; purchasing managers index etc.
Each one basically asks a group of people if they expect to make more purchases or activity in their area of expertise to rise. There are so many we won’t go into each one here.
A really useful tool is the tradingeconomics.com economic indicators for each country. You can see all the major indicators and an explanation of each plus the historic results.
GDPGross Domestic Product is another big release. It is a measure of how much a country’s economy is growing.
In general the market focuses more on ‘advance’ GDP forecasts more than ‘final’ numbers, which are often released at the same time.
This is because the final figures are accurate but by the time they come around the market has already seen all the inputs. The advance figure tends to be less accurate but incorporates new information that the market may not have known before the release.
In general a strong GDP number is good for the domestic currency.
InflationCountries tend to release measures of inflation (increase in prices) each month. These releases are important mainly because they may influence the future decisions of the central bank, when setting the interest rate.
See the FX fundamentals section for more details.
Industrial dataThings like factory orders or or inventory levels. These can provide a leading indicator of the strength of the economy.
These numbers can be extremely volatile. This is because a one-off large order can drive the numbers well outside usual levels.
Pay careful attention to previous releases so you have a sense of how noisy each release is and what kind of moves might be expected.
CommentsOften there is really good stuff in the comments/replies. Check out 'squitstoomuch' for some excellent observations on why some news sources are noisy but early (think: Twitter, ZeroHedge). The Softbank story is a good recent example: was in ZeroHedge a day before the FT but the market moved on the FT. Also an interesting comment on mistakes, which definitely happen on breaking news, and can cause massive reversals.
submitted by Maxvelgus to Finance_analytics [link] [comments]
Fundamental U.S. dollar forecast for today
The major currency pair is about to start consolidationOver the past four months, investors have been selling off the dollar, which seemed to have lost its profitability, against the world major currencies. The speculative net dollar shorts have reached the highest levels, and hedge funds have opened euro long positions the first time over the past two years. The market is confident that the EUUSD will be trading at 1.2 sooner or later. What if it is wrong? The dollar may still gain its strength back.
As the greenback shorts are close to the highest levels, there can well start a correction. Few large banks and investment companies believe that the USD uptrend can resume soon, however, the EUUSD correction down may be rather deep.
Dynamics of speculative positions and U.S. dollar
HSBC says the EUUSD bulls set the reasons for the further euro rally that have already worked out. Yes, the Fed lowered the interest rates more aggressively than the ECB, which sent the Treasury yield to the all-time lows. However, the ECB just couldn’t afford it. The ECB tool-kit is limited, as its interest rates are already close to zero. Yes, the Treasury yield has dropped, but will it go lower? Few believe that the FOMC will introduce negative interest rates. Even if it does, the US bond market rates are likely to have hit the bottom. The surge of the 10-year Treasury yield on August 10-11 has supported the US dollar, sending the gold price down.
The idea of the growth gap between the U.S. and the euro-area looks appealing. However, the number of new COVID-19 cases in the USA starts declining, while it is increasing in some European regions. Furthermore, the US positive domestic data signal that the second coronavirus wave shouldn’t be as harmful to the US economy as the first one. When the forecasts for the US GDP are grim, and the euro-area growth, on the contrary, is expected to accelerate, any mismatches to the forecasts can encourage investors to sell off the EUUSD.
Moreover, the greenback has been seasonally strong in the second half of the year also because of the capital repatriation to the USA. The USD grew on average by 3% in the quarter ahead of the seven previous presidential elections. So, there should be even less confidence that the euro uptrend will soon resume.
Seasonal factor in USD average monthly changes
I believe such factors as the diversification of the global FX reserves in the favor of the euro and inflow of portfolio investments into the euro-area markets should support the euro uptrend in the future. In the meanwhile, traders should be prepared for the EUUSD middle-term consolidation in the range of 1.158-1.188. The scenario to buy at the support levels of 1.166 and 1.163 is still relevant. However, the euro bulls should be patent and focus on day-trading with narrow targets for a while.
For more information follow the link to the website of the LiteForex
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]
SummaryIn the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.
Stage IncreaseStage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference.
New high priceThe new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value.
Price raise with massive trading volume increaseFor example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true.
Price narrow-shock marketNarrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05.
Moving average indicates bull marketMoving Average indicates long and short direction, K line supported by or resisted by 5，10，20，30，60 moving average line, Moving average indicates bull market or bear market. can be written:
MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30.
Previous high price and its locationsTo obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles.
Price gap jumpingThe price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H
Common technical indicatorsMoving average
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle.
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:
DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference.The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.
Strategy WritingIn the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening
// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C
To sum upAbove we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.
Next section noticeMaybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
Losing consistently in a trend is frustrating. It tends to make people feel either stupid or conspired against. The market always goes up ... until you buy. What's with that?submitted by whatthefx to Forex [link] [comments]
If you find yourself getting the run around in trending moves, this post should help.
We'll start with having a look at the areas common styles of trend following can generate losing signals '/ stop losses. The two main types of trend trading are breakouts and retracements. Here we can see the areas they are likely to generate losing trades in a typical trend formation.
On the left, we have breakout loses. On the right we have retracement losses.
The trades on the right are not too much of a problem. If you had a sold trend trading strategy using breakouts and maintained it with good money management, you'd be doing well. Having some strings of small losses would not matter relative to the trend moves you catch. It's this red bit. This is where things get sketchy. Here a lot of false signals will be generated. In a larger picture for retracement traders, but also on short term false breakouts.
Strategies that would have been very profitable ran through the blue area can become breakeven or losing strategies in the red area. This is actually (in my view) likely the reason most trend based EAs that can be designed easily or bought have limited long term profitability even if they produce great short term results. To make money in a blue market, the EA needs you to tell it how to do two things. Not get stopped out, and sell. There may be bumpy bits, but it will make money so long as that market condition continues.
This is all well and good, but the reality of having to deal with risk control in adverse market conditions will inevitably come along. When this happens, not adapting your trend strategy to filter out the losing streaks that most strategies will generate seriously hampers your net profitability and can even turn a good strategy bad.
In the early week gap and brief breakout on USDJPY, I thought it was likely we were switching from a blue market to a red market. So I activated the trend followers of different variations on my Shorting Noobs strategy, and waited to see if they'd pick up the worst signals (giving me ideal entries).
I explained what I thought the best trade pan for the sort of price action we'd see in the coming trading sessions would be.
My theory here is if you put a bunch of okay strategies (and these are not horrible traders. They have rules, and follow them. Do overall okay) into the very worst conditions, they'll do the worst thing. Which saves me the effort of being here doing what I think is the best thing. To look for big drops, and then it have a little false breakout. Buy this and take profits into spikes.
Here that is a bit closer.
Particularly where the red mark is, this has produce a perfect counter signal. Sharp drop, false breakout. Buy and take profit into spike up.
The interesting thing about this for me, is I do not find too much to be critical about with many of these positions if we are to look at the market from the perspective of a seller. Their stop losses seem to make sense from much of the stop loss rules commonly used (and ones working for them okay in other times of the strategy), but they're commonly being stopped out at the highs.
The main problem most strategies have is the recurrence of what can be increasingly strong looking sell signals. When using solid rules, this is a limited problem (can still be big), but without this and with there being emotional decisions made, this is a really hard time to trade. It's easy to lose all your money trying to follow the trend here, without really doing too much wrong other than starting to chase a loss or refuse to accept a loss. Then things happen so quickly, and that's it. Being a revenge seller selling into the bear engulfing bars right before the 50 pips 1 minute candles does not go well a few times in a row (tried and tested, would not recommend).
As I mentioned in the comments for the OP of this analysis, I stopped selling at 106.05. I stopped copying most of the strategies there because I didn't want them accumulating sells at a possible high. All through the consolidation period their have been sells accumulating and obviously the stops are above the highs, which is exactly the area I'd expect to spike out and reverse from in this pattern. It's what my manual trade plan inverts.
So at this point these strategies that have been doing well over the blue period (which has been a longer time) have lost most of gains. If the trend continues from here in the main they will breakeven on this red section (would be okay). If there are spike outs of the highs they will generate a lot more losing signals. By the end of this, strategies that have been profitable for 3 months will have leaked back a substantial amount of that in only 4 - 5 days.
Learning to remove these correction weeks from their trading patterns would very much benefit most trend following systems.
Here's the overall results from betting against either trend following or trend reversal mistakes like this.
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.
Sluggish economic and earnings growth will be a theme in markets in the week ahead, as investors await a Fed interest rate cut at the end of the month.
More than a quarter of the S&P 500 companies report earnings in the coming week, the second big week of the second quarter reporting season. FAANG names, like Alphabet and Amazon, and blue chips from McDonald’s to Boeingand United Technologies are among the more than 130 companies reporting.
There is also some key economic data, including Friday’s second quarter GDP, which should show a slowing to 1.8% from the first quarter’s 3.1% pace, according to Refinitiv. On Thursday, durable goods are reported and will include an update on businesses investment. There are also existing home sales Tuesday, new home sales Wednesday and advance economic indicators Thursday.
But there will be no Fed speakers, after a parade of central bank officials in the past week, including Fed Chair Jerome Powell. The most impactful comments, however, came Thursday from New York Fed President John Williams, who set off a debate about how much the Fed could cut rates at its July 30-31 meeting — 25 or 50 basis points.
Even as the New York Fed later said Williams comments were not about current policy, market pros took heed of his words about how central bankers should “act quickly.”
Fed dominates Fed officials do not speak publicly in the days ahead of policy meetings, but market pros will find plenty to debate. Fed funds futures were predicting a 43% chance of a 50 basis point cut in July, after shooting as high as 70% Thursday afternoon.
“For sure, the Fed is going to dominate for next week. I think we’ll get at least a 25 basis point cut. I’m thinking we’re not going to get 50 basis point cut...The Fed has been burned when it’s been bold,” said Tony Roth, chief investment officer at Wilmington Trust.
Roth said he believes the market is already pricing in a quarter-point cut, and he does not see the Fed’s rate cut as much of a longer-term catalyst for stocks. If it trims by a half percentage point, he expects just a short-term pop.
Economists believe the Fed will cut interest rates even though recent data has improved. That’s in part because Powell has stressed the Fed is focused on the global economic slowdown, trade wars and low inflation, and that it will do what it takes to keep the economy expanding.
“The only real catalyst that would really help the market would be if there was a trade deal with China,” Roth said. “I think the likelihood of that is less than > 10%. We’re very pessimistic on the possibility of a real deal with China prior to the [2020 presidential] election.”
So, in the void ahead of the Fed’s meeting, the market will be watching earnings. As earnings rolled out this past week, stocks took a rest from their record-setting streak, as some companies lowered forecasts and most beat earnings and revenue estimates.
As of Friday morning, 77% of the roughly 80 companies reporting had beaten earnings estimates, and 65% topped revenue forecasts, according to Refinitiv. Based on actual reports and forecasts, earnings per share for the S&P companies are expected to be up 1% in the second quarter. That is up from expectations that the profit growth would be slightly negative this quarter.
“If you look at the numbers, we’re above the averages for top and bottom line beats, but at the same time when you look at revisions, every day we’re getting revisions for third and fourth quarter, and they’re coming down.There’s a real worry of an earnings recession, when you get out into the third and fourth quarter and out to next year,” Roth said.
Roth said he’s currently neutral on risk assets, and he sees a slowdown brewing in the smallest U.S. companies that could spread up the food chain.
“We do see those fundamental cracks in the economy in small business and the small business labor market, and on top of that you have these big macro risks out there,” such as trade and the upcoming election, Roth said.
Slower economy As earnings growth was muted in the second quarter, so was the pace of economic gains. If growth comes in as expected, it would be the first quarter where growth was under 2% since the first quarter of 2017. Economists are watching to see how consumer spending fared in the quarter, after a recent pickup and also whether business inventories are declining.
“The data we need is not Q2. What’s at risk is the growth and magnitude of the Fed rate cut. I don’t think Q2 is going to have much impact on the Fed’s thinking,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “It’s really how Q3 is progressing. It seems to me the economy softened in April and May and picked up in June with jobs data, retail sales and manufacturing sector.”
Chandler said investors will also be focused on the European Central Bank, which some economists believe could cut its overnight deposit rate to negative 0.5% from negative 0.4% currently when it meets Thursday. Chandler said odds are about 50% for the rate cut, which many also expect in September.
“While we’re waiting for the Fed to figure out whether it’s 25 or 50 basis points, and we’re waiting for the ECB to get all its forms sorted out ... the emerging markets are pushing ahead,” said Chandler, noting Russia and Turkey could cut rates in the next several days, after similar moves in the past week by South Africa, South Korea and Indonesia.
“It just makes the story more global. You’re seeing the trade numbers from China, Japan, Singapore and South Korea weaken. You’re seeing exports form China suffer. Exports from all of Asia are suffering,” he said. “The big surprise for China and Japan has also been on the import side. The declines in their imports is really someone else’s [drop in] exports.”
Rate cuts and currency wars Dollar strength has been a consequence of the trade war, and Fed action could help turn it around.
“If the Fed fails to move, you’re going to end up with an increasingly stronger dollar,” which impacts corporate earnings, Roth said.
“The dollar is quite strong and is increasingly going to be a headwind for U.S. companies. It hasn’t appreciated that much in 12 months, but if we see a divergence in monetary policy between the U.S. and the rest of the world, you would see a carry trade develop where people would want to buy assets in the U.S.,” he said.
The dollar index was slightly higher on the week, but Wall Street has been focused on President Donald Trump’s negative comments on the currency’s strength. As Trump has criticized the Fed, he also complains that other central banks manipulate their currencies to give them an edge in trade. Trump has said the Fed should already be cutting rates, something it hasn’t done since December 2008.
A number of Wall Street strategists have said they now believe it is possible that the U.S. government could intervene to weaken the dollar, but that would be unlikely.
Small-caps measured by the performance of the Russell 2000 have been lagging since mid-March with the gap in performance widening in June and continuing into July. At yesterday’s close the Russell 2000 was up 15.35% year-to-date compared to a gain of 19.87% for the Russell 1000. Based upon historical trends this is not unusual for this time of the year nor during times when U.S. economic data is mixed.
In the following chart the one-year seasonal pattern of the Russell 2000/Russell 1000 has been plotted (solid black line with grey fill) along with 2019 year-to-date (blue line). This chart is similar to the chart found on page 110 of the 2019 Stock Trader’s Almanac. When the lines are rising small-caps are outperforming, when the lines are falling small-caps are lagging. Small-caps exhibited typical seasonal strength during the first quarter but have been fading ever since. In some years, small-cap strength can last until mid-June however, that is not the case this year. Going forward, small-cap underperformance is likely to persist until early in the fourth quarter with possible a hint of strength at the end of August.
It’s usually about this time of the year, when trading volumes begin to slump and markets meander that we begin to hear talk of the infamous “Summer Rally” featured on page 74 of the Stock Trader’s Almanac 2019. The “Summer Rally” is usually the weakest seasonal rally of them all.
We looked at the current Summer Rally and found it to be above average already, up 10.2% from the Spring low on May 31, and that does portend well for the Summer and Fall Corrections. We lined up the Summer Rallies ranked from weakest to strongest since 1964. Over the past 55 years prior to this year DJIA has rallied and average of 9.1% from its May/June low until its Q3 high. The Fall Rally averages 10.9% and the Summer and Fall Corrections average a loss of just under 9% for a net average gain of a few percentage points over the summer and fall.
As shown in the table below, when the Summer Rally is greater than or equal to the 55-year 9.1% average, the summer and fall correction tend to be bit milder, -6.2% and -8.2%, respectively. Summer Rally gains beyond 12.5% historically had the smallest summer and fall corrections. One prominent exception being 1987.
Once again today, DJIA, S&P 500 and NASDAQ closed at new all-time highs. With today’s modest gains, DJIA is up 17.3% year-to-date. S&P 500 is even better at 20.2% while NASDAQ is still best at 24.5%. Compared to historical average performance in pre-election years at this time of the year, DJIA and S&P 500 are comfortably above average. NASDAQ’s impressive 24.5% gain is just average (since 1971). NASDAQ’s Midyear Rally delivered again, but officially ended last Friday. The seasonal pattern charts, above and below, along with July’s typical performance over the last 21 years suggest further gains during the balance of July and the third quarter could be limited. For the market to make meaningful gains in the near-term earnings will need to decent and forward guidance will also need to be firm.
Yesterday was another one of those days that makes you scratch your head. In a relatively busy day for economic data, Initial Jobless Claims came in within 25K of a 50-year low, and the Philly Fed Manufacturing report saw its largest m/m increase in a decade. That follows other data last week where Retail Sales were very strong and CPI and PPI both came in ahead of consensus forecasts. The trend of better than expected data since the June employment report on July 5th is reflected in recent moves of the Citi Economic Surprise Index which has rallied from -68.3 up to -41.5. Granted, it’s still negative, but what was looking like a real dismal backdrop for the economy just three weeks ago seems to be showing signs of improvement.
In their respective interviews, both Williams and Clarida not only didn’t tone down expectations, but they added fuel to the fire. Williams noted that “it pays to act quickly to lower rates" and "vaccinate” the economy "against further ills." Clarida was even more direct when he said that “Research shows you act preemptively when you can.” In other words, the data-dependent Fed is casting the data aside and ready to move anyway. In his interview on Fox Business, Clarida almost got a chuckle when asked whether there was any chance the Fed wouldn’t cut rates in July.
The dovish turn from the Fed was immediately reflected in market expectations for rate policy at the July meeting. Back in June, market expectations for a 50 basis points (bps) cut at the next meeting peaked out at under 50%. Then, in the days following the June employment report, expectations dropped all the way down to 3%. In the last ten days, though, the trend has completely reversed, and as of yesterday’s close topped out at 71% versus just a 29% chance for a 25 bps cut. Probabilities for a 50 bps cut came in a bit overnight but are still at about 50/50. Yesterday alone, though, expectations for a 25 bps cut and a 50 bps cut more than completely reversed from the prior day, and remember, that’s after what was a good day of economic data! Can you imagine what expectations would be like if the data was actually bad?
The Bloomberg World index is a cap-weighted index made up of nearly 5,000 stocks from around the world (including US stocks). While the S&P 500 has been hitting new all-time highs over the last week, the Bloomberg World index remains 7% below highs that it last made back in January 2018.
The S&P 500 is up over 20% YTD, but over the last 12 months, it is up just under 10% on a total return basis. And within the S&P 1500, there are only 44 stocks that are up more than 50% on a total return basis over the last 12 months. These 44 stocks are listed below.
Innovative Industrials (IIPR) -- a cannabis REIT -- has been the best performing stock in the S&P 1500 over the last year with a total return of 302%. In second place is eHealth (EHTH) with a gain of 269%, followed by Avon Products (AVP) at +174.8% and Coca-Cola Bottling (COKE) at +128.58%. Coca-Cola Bottling is probably one of the last names you would have guessed as a top five performer over the last year! Other notables on the list of biggest winners include Advanced Micro (AMD), LendingTree (TREE), Starbucks (SBUX), AutoZone (AZO), Chipotle (CMG), Hershey (HSY), and Procter & Gamble (PG).
Some names that aren't on the list that you may have expected to see? AMZN, NFLX, MSFT? Nope. None of the mega-cap Tech companies are on the list of biggest winners due to serious weakness from this group in Q4 2018.
Although the last two trading days have seen exceptionally narrow daily ranges, today we wanted to take a quick look at the S&P 500's frequency of 2% daily moves (either up or down) in the post-WWII period. The chart below breaks out the frequency of 2% days by year, and years with more than 25 one-day moves of 2% are notated accordingly.
Overall, there have been an average of 11 daily 2% moves in a given year. After five straight years from 2007 to 2011 where we saw an above-average number of 2% days, the last seven years have only seen one year with an above-average number of occurrences (2018, 21). Remember, in 2017 there wasn't one single trading day that saw the S&P move up or down 2%!
So far this year, there have only been four 2% days, but with the most volatile part of the year on tap, we are likely to see that number increase in the months ahead. Don't expect the relative calm that we have seen in the last few trading days to last forever. Volatility is unpredictable and usually comes up and surprises you when you least expect it!
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([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())NONE.
Amazon.com, Inc. (AMZN) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, July 25, 2019. The consensus earnings estimate is $5.29 per share on revenue of $62.51 billion and the Earnings Whisper ® number is $5.70 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.34% with revenue increasing by 18.20%. Short interest has increased by 14.0% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 13.0% above its 200 day moving average of $1,737.93. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, July 11, 2019 there was some notable buying of 3,494 contracts of the $2,000.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 4.0% move in recent quarters.
Facebook Inc. (FB) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.90 per share on revenue of $16.45 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.20% with revenue increasing by 24.33%. Short interest has increased by 21.7% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 20.8% above its 200 day moving average of $164.17. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, July 17, 2019 there was some notable buying of 16,697 contracts of the $290.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 6.5% move on earnings and the stock has averaged a 8.6% move in recent quarters.
Tesla, Inc. (TSLA) is confirmed to report earnings at approximately 5:15 PM ET on Wednesday, July 24, 2019. The consensus estimate is for a loss of $0.52 per share on revenue of $6.38 billion and the Earnings Whisper ® number is ($0.44) per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 84.80% with revenue increasing by 59.41%. Short interest has increased by 26.5% since the company's last earnings release while the stock has drifted higher by 1.2% from its open following the earnings release to be 8.1% below its 200 day moving average of $280.96. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 30,445 contracts of the $50.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 7.4% move in recent quarters.
Boeing Co. (BA) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.89 per share on revenue of $20.27 billion and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 17% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.24% with revenue decreasing by 16.44%. Short interest has increased by 11.2% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 4.0% above its 200 day moving average of $362.82. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 6,176 contracts of the $325.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 3.0% move in recent quarters.
AT&T Corp. (T) is confirmed to report earnings at approximately 6:50 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $0.89 per share on revenue of $45.02 billion and the Earnings Whisper ® number is $0.90 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.20% with revenue increasing by 15.48%. Short interest has increased by 16.4% since the company's last earnings release while the stock has drifted higher by 5.5% from its open following the earnings release to be 4.5% above its 200 day moving average of $31.37. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 144,398 contracts of the $28.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 4.1% move on earnings and the stock has averaged a 4.5% move in recent quarters.
Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, July 23, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $358.48 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat The company's guidance was for revenue of $335.00 million to $360.00 million. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 36.69%. Short interest has decreased by 3.8% since the company's last earnings release while the stock has drifted higher by 13.5% from its open following the earnings release to be 36.9% above its 200 day moving average of $10.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, July 5, 2019 there was some notable buying of 7,449 contracts of the $19.00 call expiring on Friday, July 26, 2019. Option traders are pricing in a 13.7% move on earnings and the stock has averaged a 19.1% move in recent quarters.
ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, July 22, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $14.39 million. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 33.33% with revenue increasing by 53.48%. Short interest has decreased by 8.2% since the company's last earnings release while the stock has drifted lower by 50.9% from its open following the earnings release to be 63.8% below its 200 day moving average of $1.74. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 16.9% move on earnings in recent quarters.
Halliburton Company (HAL) is confirmed to report earnings at approximately 6:45 AM ET on Monday, July 22, 2019. The consensus earnings estimate is $0.30 per share on revenue of $5.97 billion and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 48.28% with revenue decreasing by 2.88%. Short interest has increased by 39.2% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 25.7% below its 200 day moving average of $29.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 9,264 contracts of the $20.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.
Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Friday, July 26, 2019. The consensus earnings estimate is $0.19 per share on revenue of $828.49 million and the Earnings Whisper ® number is $0.24 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat The company's guidance was for revenue of $770.00 million to $830.00 million. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 16.60%. Short interest has increased by 9.0% since the company's last earnings release while the stock has drifted lower by 0.4% from its open following the earnings release to be 10.1% above its 200 day moving average of $33.39. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, July 15, 2019 there was some notable buying of 7,151 contracts of the $60.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 12.7% move in recent quarters.
Visa Inc (V) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, July 23, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.70 billion and the Earnings Whisper ® number is $1.37 per share. Investor sentiment going into the company's earnings release has 79% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 10.83% with revenue increasing by 8.78%. Short interest has decreased by 6.9% since the company's last earnings release while the stock has drifted higher by 11.7% from its open following the earnings release to be 19.5% above its 200 day moving average of $150.03. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 4,839 contracts of the $165.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.6% move in recent quarters.
Treasury – Taxation 60-88 Tax on Derivatives. Financial Transaction Tax. Banking Services Tax. Other Taxes applicable to Treasury Operations (Domestic and Forex). 9. Treasury – Types 89-135 Treasury – Manufacturing and Service Corporates: o Back ground o Contribution Analysis o Operating and Financial Leverage iv o Liquidity Management o Foreign Exchange Exposures o Commodity Exposures o ... Forex brokers with minimum Stop & Limit order distance requirement There are Forex brokers who require certain minimum distance for trading stops & limit orders to be met when trading. In simple words, to a trader this translates into a requirement to place stops on each trading position no closer than the X amount of pips from the entry point, or from the current price if they modify an ... Aggregate Gap Limits BSCAL Last Updated at January 27, 2013 21:22 IST. Follow us on : ALSO READ Excise Evasion Racket In Steel Scrap Detected In Chennai Sensex Up 62 Pts On Sustained Fii Buying Cracking Up For Growth Lagging Behind Finding The Right Formula; First Published: Thu, June 19 1997. 00:00 IST ... This limit too is set currency-wise and the overall overnight limit for all currencies. Generally, overnight limits are about 15% of the daylight limits. 2. Mismatch Risk/Gap Risk. Where a foreign currency is bought and sold for different value dates, it creates no net position i.e. there is no Forex risk. But due to the different value dates ... And if you are clueless of the forex rates and the applicable limits under the foreign exchange rules, your budget can be in a mess. The Reserve Bank of India is the nodal organization which manages foreign exchange, and as per their guidelines, an individual has set limits up to which, he or she can send or expend forex without restrictions. Nowadays, a foreign trip is not a huge deal any ... Rule 100.2(d) limits leverage and margin levels to 50:1 when forex trading in Canada. This is the same limit applied in the US while in Europe currency leverage limits are 30:1. A lower margin rate equates to a higher leverage ratio. For example, a 2% margin rate would work out as a leverage ratio of 50:1, allowing you to take a $50 position with a $1 margin. In contrast, a 3% margin equates ... Forex trading. Trading; MarketPulse; About OANDA. Group. Try demo Start trading. Trading. Hours of operation. Our hours of operation coincide with the global financial markets. Trading is available from Sunday 5pm to Friday 5pm (New York time). Please note: these times are subject to change during daylight saving time and certain public holidays. You cannot close existing positions or open new ... Gap in Forex Trading A prominent increase or decrease on a price chart where there is no trading volume between the jump. Due to the volume and liquidity of the forex market, gaps are relatively rare. FOREX GLOSSARY. A. Appreciation: Arbitrage: Ask: Asset: At Best: AUD: Aussie: Australian Dollar: Authorized Dealer : Automated Trading System: B. Balance of Payments: Balance of Trade: Band: Bank ... A gap is a discontinuous space in the price chart of an asset or security, often occurring between trading hours. There four different types of gaps – Common Gaps, Breakaway Gaps, Runaway Gaps ... extern string comment1 = " Time and date of last Fridays Close "; extern datetime MarketClose = D '2007.05.04 22:00'; // set this to the Date and time of Fridays Close extern string MarketOpen = "00:00"; // Set this to the time that the market opens on Sundays extern string comment2 = " ===== "; extern double MinGap = 10; // if the GAP between open and close is < MinGap then no trade will be ...
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Want to see how you could start trading gaps? Click this link to see a live trading session: https://goo.gl/MmEasr. If you want to learn more about Forex bro... For free trading education, go to http://www.tradingwithrayner.com A subscriber recently asked me… “How do you deal with weekend gaps in your trading? Now I’... #forex #forexlifestyle #forextrader Want to join my VIP group? Get my signals, education, and live chat! Link to join: https://tradernickfx.com/ // SOCIAL FR... This is a very good screen capture I saved from one of Sam Seiden webinars about Forex Gaps that sometimes occurs on Sundays. For the full description/commen... Learn how to trade Forex TODAY! the forex market is the millionaire's secret to extraordinary success. Join the Mirrored Millionaire's Forex Group TODAY and ... Gaps occur almost every weekend in the forex market on multiple pairs. For more on gaps, ... Limit Order, Stop Loss, Stop Limit) - Duration: 9:05. Arvabelle 96,387 views. 9:05. How to Trade ... How to find gaps before the market opens, very helpful for gap traders. Bloomberg Forex Masterclass: How to use Gap Risk when using an online forex broker - Brought to you by specialist forex broker FxPro. https://www.fxpro.com Very Simple and Effective Forex Trading Strategy for closing Sunday Gap. No indicators Some other of my videos worth watching: Forex trading course for beginners and experienced traders.Two weeks ... We look at other types of gap in the forthcoming lessons, including the types of gaps where you can expect the price to fill in, trading in the values that were missed. This requires a different ...