Non-Farm Payrolls Definition Was sind die Non-Farm Payrolls

The US Non-Farm Payroll is due this week. Employment is a crucial economic data. Expectations and reactions to the release may not be straightforward. ​​​​​​​What does this means for your forex trading?

What is the US Non Farm Payroll Report?
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Former investment bank FX trader: Risk management part II

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

Letting stops breathe

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

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

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

Reasons to change a stop

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

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

Entering and exiting winning positions

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

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

Entering positions with limit orders

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

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

Risk:reward and win ratios

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

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

Risk-adjusted returns

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

Sharpe ratio

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

VAR

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

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

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
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Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
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.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic 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.

Squeezes

Short 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.

Incredible event
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 losses

Also 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 positioning

We 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 correlation

Retail 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?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
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 limits

One 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 management

Thanks 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
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Former investment bank FX trader: news trading and second order thinking

Former investment bank FX trader: news trading and second order thinking
Thanks to everyone who responded to the previous pieces on risk management. We ended up with nearly 2,000 upvotes and I'm delighted so many of you found it useful.
This time we're going to focus on a new area: reacting to and trading around news and fundamental developments.
A lot of people get this totally wrong and the main reason is that they trade the news at face value, without considering what the market had already priced in. If you've ever seen what you consider to be "good" or "better than forecast" news come out and yet been confused as the pair did nothing or moved in the opposite direction to expected, read on...
We are going to do this in two parts.
Part I
  • Introduction
  • Why use an economic calendar
  • How to read the calendar
  • Knowing what's priced in
  • Surveys
  • Rates decisions
  • First order thinking vs second order thinking

Introduction

Knowing how to use and benefit from the economic calendar is key for all traders - not just news traders.
In this chapter we are going to take a practical look at how to use the economic calendar. We are also going to look at how to interpret news using second order thinking.
The key concept is learning what has already been ‘priced in’ by the market so we can estimate how the market price might react to the new information.

Why use an economic calendar

The economic calendar contains all the scheduled economic releases for that day and week. Even if you purely trade based on technical analysis, you still must know what is in store.

https://preview.redd.it/20xdiq6gq4k51.png?width=1200&format=png&auto=webp&s=6cd47186db1039be7df4d7ad6782de36da48f1db
Why? Three main reasons.
Firstly, releases can help provide direction. They create trends. For example if GBPUSD has been fluctuating aimlessly within a range and suddenly the Bank of England starts raising rates you better believe the British Pound will start to move. Big news events often start long-term trends which you can trade around.
Secondly, a lot of the volatility occurs around these events. This is because these events give the market new information. Prior to a big scheduled release like the US Non Farm Payrolls you might find no one wants to take a big position. After it is released the market may move violently and potentially not just in a single direction - often prices may overshoot and come back down. Even without a trend this volatility provides lots of trading opportunities for the day trader.

https://preview.redd.it/u17iwbhiq4k51.png?width=1200&format=png&auto=webp&s=98ea8ed154c9468cb62037668c38e7387f2435af
Finally, these releases can change trends. Going into a huge release because of a technical indicator makes little sense. Everything could reverse and stop you out in a moment. You need to be aware of which events are likely to influence the positions you have on so you can decide whether to keep the positions or flatten exposure before the binary event for which you have no edge.
Most traders will therefore ‘scan’ the calendar for the week ahead, noting what the big events are and when they will occur. Then you can focus on each day at a time.

Reading the economic calendar


Most calendars show events cut by trading day. Helpfully they adjust the time of each release to your own timezone. For example we can see that the Bank of Japan Interest Rate decision is happening at 4am local time for this particular London-based trader.

https://preview.redd.it/lmx0q9qoq4k51.jpg?width=1200&format=pjpg&auto=webp&s=c6e9e1533b1ba236e51296de8db3be55dfa78ba1

Note that some events do not happen at a specific time. Think of a Central Banker’s speech for example - this can go on for an hour. It is not like an economic statistic that gets released at a precise time. Clicking the finger emoji will open up additional information on each event.

Event importance

How do you define importance? Well, some events are always unimportant. With the greatest of respect to Italian farmers, nobody cares about mundane releases like Italian farm productivity figures.
Other events always seem to be important. That means, markets consistently react to them and prices move. Interest rate decisions are an example of consistently high importance events.
So the Medium and High can be thought of as guides to how much each event typically affects markets. They are not perfect guides, however, as different events are more or less important depending on the circumstances.
For example, imagine the UK economy was undergoing a consumer-led recovery. The Central Bank has said it would raise interest rates (making GBPUSD move higher) if they feel the consumer is confident.
Consumer confidence data would suddenly become an extremely important event. At other times, when the Central Bank has not said it is focused on the consumer, this release might be near irrelevant.

Knowing what's priced in

Next to each piece of economic data you can normally see three figures. Actual, Forecast, and Previous.
  • Actual refers to the number as it is released.
  • Forecast refers to the consensus estimate from analysts.
  • Previous is what it was last time.
We are going to look at this in a bit more detail later but what you care about is when numbers are better or worse than expected. Whether a number is ‘good’ or ‘bad’ really does not matter much. Yes, really.

Once you understand that markets move based on the news vs expectations, you will be less confused by price action around events

This is a common misunderstanding. Say everyone is expecting ‘great’ economic data and it comes out as ‘good’. Does the price go up?
You might think it should. After all, the economic data was good. However, everyone expected it to be great and it was just … good. The great release was ‘priced in’ by the market already. Most likely the price will be disappointed and go down.
By priced in we simply mean that the market expected it and already bought or sold. The information was already in the price before the announcement.
Incidentally the official forecasts can be pretty stale and might not accurately capture what active traders in the market expect. See the following example.

An example of pricing in

For example, let’s say the market is focused on the number of Tesla deliveries. Analysts think it’ll be 100,000 this quarter. But Elon Musk tweets something that hints he’s really, really, really looking forward to the analyst call. Tesla’s price ticks higher after the tweet as traders put on positions, reflecting the sentiment that Tesla is likely to massively beat the 100,000. (This example is not a real one - it just serves to illustrate the concept.)

Tesla deliveries are up hugely vs last quarter ... but they are disappointing vs market expectations ... what do you think will happen to the stock?

On the day it turns out Tesla hit 101,000. A better than the officially forecasted result - sure - but only marginally. Way below what readers of Musk's twitter account might have thought. Disappointed traders may sell their longs and close out the positions. The stock might go down on ‘good’ results because the market had priced in something even better. (This example is not a real one - it just serves to illustrate the concept.)

Surveys

It can be a little hard to know what the market really expects. Often the published forecasts are stale and do not reflect what actual traders and investors are looking for.
One of the most effective ways is a simple survey of investors. Something like a Twitter poll like this one from CNBC is freely available and not a bad barometer.
CNBC, Bloomberg and other business TV stations often have polls on their Twitter accounts that let you know what others are expecting

Interest rates decisions

We know that interest rates heavily affect currency prices.
For major interest rate decisions there’s a great tool on the CME’s website that you can use.

See the link for a demo

This gives you a % probability of each interest rate level, implied by traded prices in the bond futures market. For example, in the case above the market thinks there’s a 20% chance the Fed will cut rates to 75-100bp.
Obviously this is far more accurate than analyst estimates because it uses actual bond prices where market participants are directly taking risk and placing bets. It basically looks at what interest rate traders are willing to lend at just before/after the date of the central bank meeting to imply the odds that the market ascribes to a change on that date.
Always try to estimate what the market has priced in. That way you have some context for whether the release really was better or worse than expected.

Second order thinking

You have to know what the market expects to try and guess how it’ll react. This is referred to by Howard Marks of Oaktree as second-level thinking. His explanation is so clear I am going to quote extensively.
It really is hard to improve on this clarity of thought:
First-level thinking is simplistic and superficial, and just about everyone can do it (a bad sign for anything involving an attempt at superiority). All the first-level thinker needs is an opinion about the future, as in “The outlook for the company is favorable, meaning the stock will go up.” Second-level thinking is deep, complex and convoluted.
Howard Marks
He explains first-level thinking:
The first-level thinker simply looks for the highest quality company, the best product, the fastest earnings growth or the lowest p/e ratio. He’s ignorant of the very existence of a second level at which to think, and of the need to pursue it.
Howard Marks
The above describes the guy who sees a 101,000 result and buys Tesla stock because - hey, this beat expectations. Marks goes on to describe second-level thinking:
The second-level thinker goes through a much more complex process when thinking about buying an asset. Is it good? Do others think it’s as good as I think it is? Is it really as good as I think it is? Is it as good as others think it is? Is it as good as others think others think it is? How will it change? How do others think it will change? How is it priced given: its current condition; how do I think its conditions will change; how others think it will change; and how others think others think it will change? And that’s just the beginning. No, this isn’t easy.
Howard Marks
In this version of events you are always thinking about the market’s response to Tesla results.
What do you think they’ll announce? What has the market priced in? Is Musk reliable? Are the people who bought because of his tweet likely to hold on if he disappoints or exit immediately? If it goes up at which price will they take profit? How big a number is now considered ‘wow’ by the market?
As Marks says: not easy. However, you need to start getting into the habit of thinking like this if you want to beat the market. You can make gameplans in advance for various scenarios.
Here are some examples from Marks to illustrate the difference between first order and second order thinking.

Some further examples
Trying to react fast to headlines is impossible in today’s market of ultra fast computers. You will never win on speed. Therefore you have to out-think the average participant.

Coming up in part II

Now that we have a basic understanding of concepts such as expectations and what the market has priced in, we can look at some interesting trading techniques and tools.
Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases
Hope you enjoyed this note. As always, please reply with any questions/feedback - it is fun to hear from you.
***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

Former investment bank FX trader: News trading and second order thinking part 2/2

Former investment bank FX trader: News trading and second order thinking part 2/2
Thanks for all the upvotes and comments on the previous pieces:
From the first half of the news trading note we learned some ways to estimate what is priced in by the market. We learned that we are trading any gap in market expectations rather than the result itself. A good result when the market expected a fantastic result is disappointing! We also looked at second order thinking. After all that, I hope the reaction of prices to events is starting to make more sense to you.

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.

Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The trimming position effect
  • Reversals
  • Some key FX releases

Preparing for quantitative and qualitative releases

The 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.

Helpful context
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 index

The 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 reactions

The 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.
  • Many times the market will shrug and ignore it.
  • But when the economic recovery is predicated on a strong consumer it may move markets a lot.
Or consider the S&P index of US stocks (Wall Street).
  • If you get good economic data that beats analyst estimates surely it should go up? Well, sometimes that is certainly the case.
  • But good economic data might result in the US Central Bank raising interest rates. Raising interest rates will generally make the stock market go down!
So better than expected data could make the S&P go up (“the economy is great”) or down (“the Fed is more likely to raise rates”). It depends. The market can interpret the same data totally differently at different times.
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 fact

A 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 positions

One 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 reversals

Fairly 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 reversals

Sometimes 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.

Crazy reversals


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 releases

As 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 decisions

These 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 payrolls

These 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:
  • The headline number of jobs created (bigger is better)
  • The unemployment rate (smaller is better)
  • Average hourly earnings (depends)
Bear in mind these headline numbers are often off by around 75,000. If a report comes in +/- 25,000 of the forecast, that is probably a non event.
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.

Surveys

There 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.

GDP

Gross 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.

Inflation

Countries 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 data

Things 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.

Comments

Often 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 getmrmarket to Forex [link] [comments]

STOCK MARKET COLLAPSE TOMORROW

I just needed a catchy title. tldr i'm probably going to exit most of my positions today and just take tomorrow off from trading.

this report comes out at 8:30am est, so BEFORE market open

Do i think everything will crash tomorrow and all of our beloved penny stonks will turn our portfolios a deep red? I would say it's about a 30% chance imo. Not too high, but we DEFINITELY need to be aware of this economic event on Friday.
Reason being, the private ADP report came out on tuesday. When i traded forex, i used this as a clue as to how the nonfarm payroll report would go. Nonfarm payroll has a big impact on the usd and the overall market in general.
The ADP National Employment Report measures levels of non-farm private employment. The Report is based on the actual payroll data from about 24 million employees processed by the Automatic Data Processing, Inc.
The estimates were 1.5mil new jobs in the private sector for july. the report came out with ....167,000 new jobs..
To me, this means that the nonfarm payroll report tomorrow is going to miss in a BIG way. I also think the unemployment rate MIGHT be higher than expected tomorrow too. IMO tomorrow will be a red day with some of these stocks potentially dropping >20%.
However, if the politicians come out tomorrow and announce the approval of the 2nd tendies package, we will all be saved. i'm expecting them to reach a deal monday or tuesday of next week though.
Plan accordingly and stay safe! Tomorrow we play defense
submitted by trevandezz to pennystocks [link] [comments]

I hope you get filthy fucking rich this week from oil stocks

I have a great feeling about this week. Why? Confidence in the markets. The economy has officially started to recover, in a big way.
Thursday night, my beloved cindicator gave me two signals, saying that the non farm payroll data and unemployment data would beat expectations the following morning. I loaded up on USDJPY longs and holy shit did that work to be fair I was basically break even on the week, but that forex trade felt good af.
Why did oil stocks go up Friday? Because of this data that came out Friday. I’ve never traded pennystocks and forex at the same time, so I was unaware of how these Friday reports would affect penny stocks. But let’s have a look at the data:
Analysts were expecting 9,000,000 jobs to be lost over the past month. Well, 2,000,000 jobs got added. That is a huge surprise. Analysts were also predicting 19% unemployment, and it came in at 13%. WOW. The report came out in the morning, and companies like FET went up 56% in one day lmao (oil is the best indicator of economical health, can’t prop up oil like you can with sp500 etc)
Remember when everyone was talking about oil stocks a month ago? Well, now is the time for oil stocks. With this new data coming out, it means people are getting back to work, and will probably use public transport less/ personal vehicles more (just like is happening in China)
Oh yeah, OPEC agreed to extend production cuts through July
Now is the time for oil stocks
Cheers!
submitted by trevandezz to pennystocks [link] [comments]

Trading economic news

The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases.
This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.

How economic news is released

First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week.
The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020.
In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus.
The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots.
No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners.
Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup.
Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price!
Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!

How the news affects forex markets

Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent.
It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast.
Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators.
Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market.
The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US.
Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com.
Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles.
I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report.
USD/JPY correlation with Initial Jobless Claims (2018 - present)
USD/JPY correlation with Non Farm Payrolls (2018 - present)
The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all.
For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected.
The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up.
I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.

Backtesting

So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report.
Before you can assume you can profit off the news you have to backtest and consider three important parameters.
Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk.
Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not.
Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one.
The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest.
Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered.
I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized.
For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade.
Yep, that's a loss of approx. $8.63 per lot.
Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from.
Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade.
That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.

Make it real

If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day.
Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved.
Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world.
I hope you enjoyed this long as fuck post and you give trading economic news a try!
submitted by thicc_dads_club to Forex [link] [comments]

I like my numbers how I like my men

Hard.
Following up on my post about trading economic news, here are some hard numbers about news releases. If you can't be bothered to read any further, just know that a high S value means there is money to be made by trading the release of that economic metric.
I collected historical data (consensus and actual) for each of these economic metrics from January 2018 to the present. These are mostly monthly metrics; one is quarterly, one is biweekly, and one is weekly. I did this manually from an economic news aggregation website because I'm too cheap to pay for exported data. I also noted whether each release was the primary (or only) news being released at that precise moment or whether there were other important economic metrics being released at the same time.
Then I wrote software to fetch 2 minutes of USD/JPY price data (in 5 second candles) starting at the time of each release and correlated each candle to the "surprise" in the metric (the difference between the consensus and the actual). That produced data for each metric that looks like this and give you an idea how reliably the news predicts the short-term price move.
Next the software went back through the price history and measured the "coordinated movement" of the currency pair during each candle. By that I mean it measured the size of each candle in pips and then set the sign to be positive if its moving in the same direction as the first candle or negative otherwise, and averaged all those numbers together. These charts look like this and give you an idea how dramatically the price moves in response to the news.
Then, for each candle, the absolute value of the correlation is multiplied against the coordinated movement, creating a "tradeability" score. The idea is that a strong (positive or negative) correlation and a strong coordinated movement yields a high score, and either a weak correlation or a small price movement yields a low score. These charts look like this.
Finally, for each news release I measured the maximum value of the correlation (R) and the maximum value of the tradeability score (S). Since I don't have access to anything with finer granularity than 5 seconds, it's no surprise that candle 0 had the maximum correlation and maximum tradeability for each metric.
I did this process twice for every metric: first over all releases and second over only those releases that were the primary or only release happening at that moment. I kept the results from the one that returned the better net maximum tradeability score. The net maximum tradeability score is just the product of the maximum tradeability score and the number of releases being considered, either all of them or some smaller number. (This helps avoid bias in the results for metrics that are often released at the same time as other metrics.)
In the results linked at the top of this post, the metrics are ordered by decreasing maximum tradeability score (S) with maximum correlation (R) also shown. Remember, R = +1 means perfect positive linear correlation, R = -1 means perfect negative linear correlation, and R = 0 means no correlation. S values less than 3 are essentially untradeable due to the spread.
A couple notes:
It takes me about 15 minutes to scrape 2 years of monthly data by hand and type it up, and then the software takes about 10 seconds to run per metric. If there are regular forecasted economic releases that you'd like to see correlated and scored, let me know! I can do other currency pairs and other country's economic news as well, it's just a matter of data collection.
submitted by thicc_dads_club to Forex [link] [comments]

Non Farm Payrolls tomorrow

Folks that enjoyed my post on trading economic news may be thinking about trying their hands at trading tomorrow morning’s Non Farm Payroll (NFP) Employment.
The previous month’s value was 273k and the consensus for this release is -100k. The figure will be released at exactly 8:30 AM ET tomorrow and you can listen to a free live squawk (starting at 8:00 ET) at FinancialJuice.com.
Edit: I guess some folks saw me link to this site a few times and were concerned I’m shilling for them. I’m not affiliated with the site, I just use it because it’s free and I’m cheap. There may be other free squawk services out there (and I’d like to know if there are). The pros use paid services like RanSquawk and TradeTheNews and I think they offer free trials, so that’s an option too. Really anywhere you can get the NFP figure within 1-2 seconds after release will work.
Remember, a beat on the NFP forecast (higher number) is usually good for the dollar and a miss on the forecast (lower number) is usually bad for the dollar. The effect is most pronounced between USD and very stable currencies, for example USD/JPY.
However! This is the first negative NFP consensus in god knows how long. There will be a lot more eyes on the news than usual so you’ll have to be even faster on the trigger than usual.
Additionally, coronavirus is causing havoc in the markets and “infinite QE” is causing all sorts of non-reactions to things that would ordinarily be market movers. So it’s possible that the correlation I showed in my previous post will be muted tomorrow. Or it could be strengthened. Who knows, these are crazy and unprecedented times!
Finally, remember that the historical pricing, spreads, and correlation data I posted was based on OANDA, and since forex is OTC your mileage with your broker may vary, especially when it comes to the first few seconds after a news release.
Welp that’s me covering my ass in case things go sideways tomorrow :)
submitted by thicc_dads_club to Forex [link] [comments]

Key Factors that Affect Foreign Exchange Rates

Key Factors that Affect Foreign Exchange Rates
There are many factors affecting the medium and long-term trend of the FOREX market, including interest rates, gross domestic product (GDP), US non-farm payrolls (NFP), consumer price index (CPI), producer price index (PPI), durable goods orders, claims for unemployment benefits, industrial production index, trade balance, unemployment rate, retail sales, etc. Differences between published data and expectations will have different impacts on currency pairs.

https://preview.redd.it/kxj0i948pf951.jpg?width=750&format=pjpg&auto=webp&s=928f9480dd6d50f81363c544da70671b86fdf686
The NFP of the US is one of the important factors affecting FOREX. Increases in NFP and average wages indicate that employment growth and potential inflationary pressure have increased. In many cases, the Fed will inhibit them by hiking interest rates, benefiting the US dollar. On the other hand, NFP's continual decline would mean that the economy is slowing down to some extent, leading to an increase in likelihood of reduced interest rates and hurting the US dollar.
In addition, decisions of central banks' in different countries on interest rates are another important factor that affects FOREX. In the US, for example, interest rates are determined by the Federal Open Market Committee (FOMC). Interest rate decisions are important because central banks in different countries will formulate monetary policy and interest rate decisions based on a combination of economic growth, domestic inflation and unemployment. Therefore, interest rate decisions determines a country's path of interest rates for a period of time in the future.
If the central bank in a country decides to lower interest rates, future returns on cash deposits will fall, causing local currency funds to flow from banks to the market, encouraging investment and consumption, and boosting economic growth. At the same time, the market demand for the country's currency will drop due to lower yields, increasing the currency's depreciation pressure. In contrast, a rise in the interest rate will increase borrowing costs, and reduce the liquidity in the market. Therefore, it has the effect of suppressing consumption and curbing inflation. Meanwhile, higher yields will attract more money converted into the country's currency, increasing the likelihood of currency appreciation.

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submitted by top1markets to u/top1markets [link] [comments]

Weekly Forex & Crypto Analysis by PrimeXBT

Weekly Forex & Crypto Analysis by PrimeXBT
The week has started and was led by the only title and header around all economic news which is “US-China trade wars”.
US-China trade wars in general had its effect on all markets, including cryptocurrency. The United States wants to tighten cryptocurrency use and claimed that it’s been used by smugglers and drug-dealers and pointed out that most of the transactions are made in China.
This week BTC tried to break $10500 on Monday, August 26th and was rejected, the price then was floating between $10400-10300 and continued the correction down to $10027. Uncertainty in the BTC has ended when the price hit $10400 again and showed a massive drop to $9366. We will point out several reasons of this week’s drop. The drop could be a result of an update in the US when rumors on crypto-currency taxation became real. Several notes sent by the IRS to crypto-currency holders pushed some investors to get rid of the BTC and led to a major sell.
The Wright and Kleiman case brings another reason to worry about. If Kleiman family surely inherited billions of $ worth of Bitcoin, then they should declare IRS the quantity and pay state taxes. Most probably, when these BTC’s received if they exist, the Kleiman family will sell them, which will result another drop-down of BTC.
CME Exchange’s futures contracts for Bitcoin is expiring today, though the Exchange showed a record-high $515M daily trading volume in May, futures expiry date gave extra-strength to sellers.
The price by the time published is traded at $9608 per BTC, from the technical point of view the price still has to find greater grounds for another massive jump.
https://preview.redd.it/8f0tliwapnj31.png?width=1468&format=png&auto=webp&s=64a5214d8a583bd7b7f3dcdd5f3de63290697050
Though we can see that a double-bottom pattern in 1-hour chart and most likely BTC will test $9750
https://preview.redd.it/vib20xqcpnj31.png?width=1468&format=png&auto=webp&s=06b1a9de59c8c76ecc447b5e2b0a8d506a79c12b
CME Exchange will continue to offer Bitcoin futures which is a positive sign for the cryptocurrency and announcement of the release of ICE-backed Bakkt Bitcoin futures in September 23 could be that pump to get the price above $10K.

Now let’s move to Forex market

The pair to watch this week and the next week is EURUSD.
Economy of Germany which EU's locomotive and other countries are cars, has showed a slight 0.1% decrease in the second quarter of 2019 related to the previous quarter. We can never deny the fact that the EU union with all its economy and power of its currency is completely dependent to the economic well-being of Germany. If the third quarter of this year doesn't show mercy to Germany's economy or Germany doesn't change policies to not only stabilize but improve the economy, the EU should prepare well for recession.
Not only economic state of Germany but rumors and news and overall hype over Brexit and Italy's economic crisis are considered to be a sinker of Euro against USD. For Euro to gain power and for EURUSD to show an uptrend again, firstly all rumors and preparations on recession should be reduced to nothing and EU states should do the needful to prevent the new economic crisis.
This week’s economic data from Germany was not positive, IFO Business Climate was below forecasted 95.1 and 94.3 was announced, German GDP was -0.1. These were news which weakened the European currency, although the worst scenario was yet to come. Thursday, August 29 Germany made an announced on the unemployment, and the number was four times higher than on the previous unemployment change, 4K. Since the announcement EURUSD was showing downwards movement and plummeted to 1.0990
If no signs of progress are shown next week, especially if the German Manufacturing PMI numbers don’t show positive, the price will continue downtrend to 1.0950 and find the next support at 1.0850
https://preview.redd.it/cso52ruepnj31.png?width=1468&format=png&auto=webp&s=21e4bdfed18b0bcce872b8714efa4d5d8fdc8b71
The political tension between EU and UK, US and China last week showed us more-or-less unpredictable movements in US, China, HK, EU, UK stock market indices. Since the “trade-war” begun and US applying higher tariffs on Chinese goods and China taking counter-action the only gainers of these back-to-back pokes were Gold and Silver. Gold showed one more time that it’s the most trusted asset to invest. The price hit $1555 highs this week and is now showing signs of short-term correction being traded at $1526. Major Investment institutions such as UBS and Citigroup look positive on Golds new summit ascents. Mainly UBS has stated that the next week the price could reach $1600.
From the technical point we can see that the price is trying to break the barrier at 1530, and is still unlucky.
https://preview.redd.it/huvtsyugpnj31.png?width=1468&format=png&auto=webp&s=9ccae0383301cabe7b0b479bde81b72cee5aa81c
This could mean that if the support at $1520 is broken, the correction will continue to $1515 and $1507.
If the downtrend is impulsive the price will reach $1494, where it will find support and another upwards move shall be expected.
https://preview.redd.it/oyzz33oipnj31.png?width=1468&format=png&auto=webp&s=1ae2f71cb0fece2770bcff716bd59d39e7a9245d
At the other hand, confirmation of Gold’s uptrend move will be breaking of resistance at $1530 where the price shall face a mile-stone of resistances at 1545-1563-1571.
From the Global prospective we should follow the upcoming Manufacturing PMI’s announcements of Germany and the US, US Non-Farm payrolls and Unemployment rates. Pay a very close attention to announcements of these three states Australia, UK and Canada, as well. Report prepared by analysts from PrimeXBT.
submitted by Esabellaason to PrimeXBT [link] [comments]

Forex: what is this and how it works?

Forex: what is this and how it works?
The international market Forex allows every person to trade different currency pairs from anywhere around the world. Also, Forex is one of the biggest world markets when we are talking about finance. Oinvest has already gathered very interesting information under the title of trading.
https://preview.redd.it/2s6rx02ra4x11.jpg?width=640&format=pjpg&auto=webp&s=00fecec079b0834538deb3faf2fdf238d8a141f2
The money circulation inside it is more than amazing 5 billion dollars every day. In this respect, the currency market can easily overtake other important markets for a worldwide economy, and the stock market isn`t an exception.
There are really lots of foreign factors which have a direct influence on exchange rates. Oinvest will tell you about the main.
• The gross domestic product (GDP) is an essential component of macroeconomic indicators.
• Macroeconomic reports including the US Non-Farm Payrolls report (NFP), PMI and the Retail sales report.
• Countries' exchange-rate policies including a devaluation of their currencies.
• A percent of unemployed people and an economic situation in the country.
• Geopolitics and all military action.
• Disasters and another force majeure.
Today's modern technology allows everybody to trade on Forex regardless of location. And our trade platform with our specialists and analytics will help you to get maximal profit. We provide a wide range of currency pairs and a large number of tools for investing to our clients.
Trade with Oinvest on the currency market and enjoy better equipped of our trading platform and high Forex leverage.
submitted by Oinvest1 to u/Oinvest1 [link] [comments]

I'm back, after a 5 year hiatus

Hi all, I noticed this sub is a pretty quiet one so I hope no-one minds this self indulgent post. Around ten years ago I paid a significant amount of money to learn how to read and predict candle charts, only to learn that it was all free online on babypips. Oh well, you live and learn. I was 18 and with my first full time job, it was the first time I ever had money to spend/invest and had dreams of making it big with forex. I had mixed results with my trading, as well with the 'non-farm payroll' lottery. Anyway I spent a year overseas, spent all my money and basically forgot about forex.
Recently I have started to think about trading again, and thought that joining this subreddit would keep my interest afloat. Are there any other subreddits or websites that you recommend?
submitted by I_am_the_1_who_knox to Forex [link] [comments]

Best Time to Trade

One of the most important aspects when trading binary options is to know when to trade the market. Even though trading on foreign exchange options, stock options, commodity options and index options is available 24 -hours a Day, five days a week, not every hour or minute is worth trading.
There are different hours during the day and different days of the week which see more volume and liquidity than others, resulting in high volatility and opportunities to maximize trading. Efects of timing
As a binary options trader, you proft when you correctly predict the direction of an asset price. Volatility is therefore essential to maximize the chances of you increasing your return on investment. Studies have shown that the most active trading hours occur during the European session. In the US, trading activity picks up sharply around 8:30 am EST. this is due to the release of closely watched US economic data, which generates the liquidity and volatility needed for the underlying asset to reach its target price before the option expires. Prices become most volatile when the US releases its monthly non-farm payrolls report on the frst Friday of every month. In contrast, markets will be less active and liquid during major holidays in the US and Europe, resulting in subdued trade. Best days of the week There are days that see more volatility and price action than others. According to The research, Tuesday and Wednesday are considered to be the most active trading days of the week. Friday is also recognized as a high-volatility trading day, especially during the hours when European and US trading sessions overlap. During the second half of the day, price movements can be very unpredictable. Learn More
Most forex traders are more successful during the late US, Asian or early European trading sessions – essentially 2 PM to 6 AM Eastern Time (New York), which is 7 PM to 11 AM UK time
submitted by mduzzl to binaryoption [link] [comments]

EUR/USD Forecast for 13-Aug to 17-Aug

EUUSD Forecast for 13-Aug to 17-Aug
EUUSD kept battling, dropping out of range as the US Dollar gets more Stronger. Presently Where EUUSD is heading? A Mix of various news is anticipating for next heading. Here is a forecast for the next and Technical Analysis for EUUSD.
Euro-zone information was blended with an expansion into 2.1%, however, GDP baffled at just 0.3%. The US Dollar delighted in a few +ve factors. The Fed left rates unaltered however were forceful with the dialect on development and swelling. Likewise, the rising trade war tension with China has additionally pushed the greenback higher, thus have higher yields. The Non-Farm Payrolls report missed on the forecast with 157K yet was not surprisingly on compensation with 2.7% y/y and 0.3% m/m. It doesn’t Change the track of the Fed to raise rates.
To see the full details go to the link given below and sign-up for two days free Forex signals.
https://www.mmfsolutions.sg/blog/weekly-forecast-eurusd-13-aug-17-aug/
https://preview.redd.it/vm6sbdjv1tf11.jpg?width=800&format=pjpg&auto=webp&s=09ea504a4aa6c3fc37da1b839084d1baed705690
submitted by sannidhyammf to u/sannidhyammf [link] [comments]

Steady gain in the gold market on last Friday upon the weakness of U.S dollar

There has been a massive fluctuation in the price of the gold market in the last Friday.as the investors were in doubt about the recent strength of the US dollar the price of gold sharply move in both the direction in the forex market during the trading session. However, at the end, the bulls were the winners and took the control of the market before the market closed. The gold price was settled at 1179.20 gaining a 9.8 percent in that day. In the month of February, the price of gold delivery was at one point at $ 1177.70 but this gain was erased as the price dropped to 1168.40.There has been also a sharp drop in the U.S unemployment rate for near about 4, 6% which is the highest drop within the last decade. However, the non-firm payroll data was positive and the payroll rose by 178k in the market. However, the leading economist was expecting 180k which means 90 millions of U.S workers are yet to find their job. The recent strength of the U.S dollar was boosted by the U.S presidential election as Mr. Trump came up with very optimistic solutions for their economy. However, over the course of time, his statement lost the power in the global economy and the strength of the dollar is again slipping down. The FED is most likely to hike their interest rate in the month of December since the ongoing performance of the U.S economy is pretty stable and such an increase in the interest rate will significantly impact the gold price since it is priced in dollars. According to FED rate hike, monitor tool there 91.3% chance that FED will hike their interest rate in the upcoming FOMC meeting minutes but leading economist are doubted since the FED might need another rate hike for the longevity of their dollar strength in the global economy.
In last Friday the price of gold had a strong rally in the market as the U.S dollar lose its strength in the market on the release of the weak Non-farm payroll data. To be precise if the dollar starts to retreat at this moment than this might cause a shift in the commodities price including the precious metal gold. On the contrary, the average hourly income of the U.S citizen has grown significantly in the last few months and investors are considering this fact as a strong sign for the new bulls in the market. The consumer sentiment of the U.S economy is also very positive at the current moment since they have been eased with lots of promising statement by the newly elected president Donald Trump. The leading economic researchers are still in doubt about the real strength of the dollar since most of the strength I s based on an optimistic statement by the leading leaders of the U.S economy.
The investors are in fear since they have no clue about the recent performance of the U.S dollar. In the eyes of trained professional, the upcoming FOMC meeting minute is going to play a major role in the gold and commodities market. They are cautiously waiting for the FED decision to extract a clear information about the recent economic performance and a future plan of the U.S government. If the FED come up with the hawkish statement in the month of December then it will be a very hard time for the precious metals investors since deeper decline will rule the market. In the next week, the US Prelim UoM Consumer Sentiment data will be released and this data will also help the traders to understand the current market sentiment. The US dollar Index is currently trading below the critical daily support line at 100.75.This means clearly creates a doubt into the mind of investors about the sustained strength of the U.S dollar. If the S dollar index fails to find enough bullish momentum at the current level then we will see a sharp decline in the U.S index towards its next critical support level at 100.55.This level is going to play a significant role in the global economy since with a closing of the price near that level will indicate a closing near its weekly lows. On the contrary, the price of gold is trading well above the resistance level. Currently, the resistance level is $1175.95 and this level has turned into a strong support level. If the price of gold extends above $1180.56 level then we will see a nice bullish run in the price of gold for a prolonged period of time.
The intraday support for the gold is currently at $1167.22 and 1162.67.This clearly demonstrates that the gold as plenty of support below and there is strong chance that the breakout will be in the upward direction. However, the recent pending interest rate decision has become one of the major issues for the gold investors since interest rate change can significantly change the price of gold in the financial market. Considering all the facts trading the gold at the current price level is extremely risky. Experts have no clue about the recent strength of the US dollar and where the strength will go in the next FOMC meeting minutes.TO be precise the FED are now in the driving seats and all the investors are cautiously waiting on the sideline for the better trading opportunity. In the opinion of expert investors, it’s better to enter the market after the dust settles down since they will have a clear overview of the fundamental factors of the market.
submitted by dwaynebuzzell to tradingfx [link] [comments]

What data do you use to measure economic indicators?

I came across a list of common forex economic indicators, and I was wondering what you guys use to measure them: Indicator -- Measured with Employment Situation Report -- non-farm payrolls International Trade -- ? GDP -- ? Current Account -- ? Industrial Production/ Capacity Utililzation -- ? ISM -- ? Retail Sales -- ? CPI -- ? Consumer Confidence and Sentiment Surveys -- ? Productivity and Costs -- ?
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How to Trade NFP  High Impact Forex News  Non- farm payroll WHAT IS NFP (NON-FARM PAYROLL) AND WHY IS IT SO IMPORTANT ... HOW TO TRADE NFP (NON-FARM PAYROLL) [TRADE THE FADE] - YouTube Non-farm Payroll LIVE w/ Andrew Lockwood! - YouTube Trading the Non-Farm Payrolls Trading The Non Farm Payroll How to trade the non farm payroll NFP news report? - YouTube Non-farm Payroll LIVE Forex trading w/ Andrew Lockwood ... SIMPLE FOREX TRADING - NON FARM PAYROLLS AND MAJOR NEWS ...

The ubiquitous Non-Farm Payroll (NFP) report out of the U.S. is an example of the former. So much attention is paid to the NFP report that pundits from across the financial blogosphere attempt to predict its eventuality and impact across a variety of financial instruments. The large reaction is due in part to the Dual Mandate of the Federal Open Market Committee of maximum employment and ... Die Rolle der Non Farm Payrolls im Trading. Für viele Forex & CFD Trader sind die Non Farm Payrolls Termine von großer Bedeutung. Übersteigen die Beschäftigtenzahlen die Erwartungen, ist dies ein signifikantes Signal für eine gut funktionierende Volkswirtschaft. Tritt eine solch positive Situation ein, ist davon auszugehen, dass die Basiswährung (der US-Dollar) gegenüber anderen steigt ... Trade the non-farm payroll report (NFP) to capitalize on one of the biggest forex market moving events of the month. Here are a number of ways to trade it. On the first Friday of each month (sometimes the second), at 8:30 AM EST, the non-farm payroll (NFP) data is released. The report reveals the US employment situation, shedding light on the ... Non-Farm Payrolls Forex Trading Strategy. This strategy is excellent to trade the NFP news release in the forex market. This simple strategy consists of Bollinger Bands and the MACD indicator. Learn how it works below. Chart Setup. MetaTrader4 Indicators: Bollinger Bands (default setting), MACD.ex4 custom indicator (12,26,9) Preferred Time Frame(s): 1-Minute, 5-Minutes, 15-Minutes ... What is Non-Farm Payroll report (theory) The Non-Farm report is one of the most anticipated reports on the US labor market, which affects the dollar particularly strongly. In terms of importance, this report is only second to the discount rate. This is a report that shows the change in the number of people employed over the last month in the ... Bei den sogenannten Non-farm Payrolls handelt es sich um eine monatliche Statistik, die Auskunft über die Beschäftigungszahlen in der Privatwirtschaft in den USA gibt. CFDs sind komplexe Instrumente und gehen wegen der Hebelwirkung mit dem hohen Risiko einher, schnell Geld zu verlieren. 76 % der Kleinanlegerkonten verlieren Geld beim CFD-Handel mit diesem Anbieter. Sie sollten überlegen, ob ... How Does Non-Farm Payroll (NFP) Affect Forex Trading By Daffa Zaky January 18, 2019, 5:07 pm • Posted in Education In the U.S., nonfarm payroll data is released every month on the first Friday. Start Trading Fachwissen So handelst du Non Farm Payrolls erfolgreich. Trading Fachwissen Trading Strategien. So handelst du Non Farm Payrolls erfolgreich. von Tim Grueger. Machst du diese 7 heftigen Trading Fehler? Nutze das kostenlose Trader Training mit Tim Grueger. Es ist ein kostenloses 20-Min-Video, mit wertvollen Tipps & Tricks für erfolgreiches Trading. Jetzt Training starten. Die Non ... How To Interpret Non-Farm Payroll Reports. So, how can we better interpret Non-Farm Payroll releases? The most important thing is not to get suckered into the headline jobs number. Taking your time to understand the report as a whole is the first step. Don’t let the massive moves intimidate you by jumping in when you see lots of volatility. The ubiquitous Non-Farm Payroll (NFP) report out of the U.S. is an example of the former. So much attention is paid to the NFP report that pundits from across the financial blogosphere attempt to predict its eventuality and impact across a variety of financial instruments. The large reaction is due in part to the Dual Mandate of the Federal Open Market Committee of maximum employment and ...

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How to Trade NFP High Impact Forex News Non- farm payroll

The Non Farm Payroll (NFP) is an influential statistic and economic indicator released on the first Friday of each month by the United States Department of Labor as part of a comprehensive report ... This Non-farm Payroll we decided to do something special! We're opening up the LIVE event coverage to the wide public here on YouTube! That's right, now ever... What is the US non-farm payroll release (otherwise known as NFP) and why is it so important for traders? It's always a high volatility time in the market, wi... 🚨🚨Trading Performance 🚨🚨 Improve Your Trading Performance at our Fundamental Trading Academy https://www.toptradersfx.com/academy (Our Academy is 1v1 ... Trading the Non-Farm Payrolls. by Steve Ruffley, day trader. You successfully trade off news releases such as the non-farm payrolls. People expect data to be black and white these days but this is ... NFP (non farm payroll) is a high volatility news release. That makes it a big temptation to trade. However, although there are opportunities in the market, t... #daytrading #forex #forextrading #forextips #forexstrategy #simpleforextrading SIMPLE FOREX TRADING - NON FARM PAYROLLS AND MAJOR NEWS EVENTS I hope you enjo... This is typically my best trading day of each month. I have traded th... I have traded th... About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How ... Watch 30-year Forex professionals Andrew Lockwood & Paul Varcoe trade Forex live as the monthly Non-farm Payroll event unfolds! What is Nonfarm Payrolls (NFP...

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