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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.
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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.

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Top 5 Most Famous Traders Of All Time

In all industries there are people credited to being the simplest .
In design, the late Steve Jobs is credited to being the simplest in his industry. In boxing, Muhammad Ali was credited to being the simplest boxer of all time.
In U.S. politics, there's a consensus that Lincoln was the nation’s greatest President by every measure applied.
In the trading world, a variety of traders are known worldwide for his or her skills. From Jesse Livermore to George Soros, we are sharing these tales of past and present traders who had to claw their thanks to the highest .
Here, we'll check out the five most famous traders of all time and canopy a touch bit about each trader and why they became so famous.
Jesse Livermore
Jesse Livermore jumped into the stock exchange with incredible calculations at the age of 15, amassed huge profits, then lost all of them , then mastered two massive crises and came out the opposite side while following his own rules, earning him the nickname “The Great Bear of Wall Street.”
Livermore was born in 1877 in Shrewsbury, Massachusetts.
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He is remembered for his incredible risk taking, his gregarious method of reading the potential moves within the stock exchange , derivatives and commodities, and for sustaining vast losses also as rising to fortune.
He began his career having run far away from home by carriage to flee a lifetime of farming that his father had planned for him, instead choosing city life and finding work posting stock quotes at Paine Webber, a Boston stockbroker.
Livermore bought his first share at 15 and earned a profit of $3.12 from $5 after teaching himself about trends.
George Soros
George Soros has a fantastic backstory.
Born in Hungary in 1930 to Jewish parents, Soros survived the Holocaust and later fled the country when the Communists took power. He went on to become one among the richest men and one among the foremost famous philanthropists within the world.
Most day traders know him for his long and prolific career as a trader who famously “broke the Bank of England” in 1992. Soros made an enormous bet against British Pound, which earned him $1 billion in profit in only 24 hours.
Along with other currency speculators, he placed a bet against the bank’s ability to carry the road on the pound. He borrowed pounds, then sold them, helping to down the worth of the currency on forex markets and ultimately forcing the united kingdom to crash out of the ecu rate of exchange Mechanism.
It was perhaps the quickest billion dollars anyone has ever made and one among the foremost famous trades ever taken, which later became referred to as “breaking the Bank of England”.
Soros is believed to have netted a complete of about $44 billion through financial speculation. And he has used his fortune to find thousands of human rights, democracy, health, and education projects.
Richard Dennis
There are only a couple of traders which will take a little amount of cash and switch it into millions and Richard Dennis was one among them.
Known as the “Prince of the Pit”, Dennis is claimed to have borrowed $1,600 when he was around 23 years old and turned it into $200 million in about 10 years trading commodities. Even more interesting to notice , he only traded $400 of the $1,600.
Not only did he achieve great success as a commodities trader, he also went on to launch the famous “Turtle Traders Group”. Using mini contracts, Dennis began to trade his own account at the Mid America commodities exchange .
He made a profit of $100,000 in 1973. The subsequent year, he capitalized on a runway soybean market to earn $500,000 in profits. He became an impressive millionaire at the top of the year.
However, he incurred massive losses within the Black Monday stock exchange crash in 1987 and therefore the dot-com bubble burst in 2000.
While he's famous for creating and losing tons of cash , Dennis is additionally famous for something else – an experiment. He and his friend William Eckhardt recruited and trained traders, a couple of men and ladies, the way to trade futures. These so-called Turtle Traders went on to form profits of $175 million in 4 years, consistent with a former student.
Paul Tudor Jones
Paul Tudor Jones thrust into the limelight within the 80s when he successfully predicted the 1987 stock exchange , as shown within the riveting one hour documentary called “Trader”.
The legendary trader was born in Memphis, Tennessee in 1954. His father ran a financial and legal trade newspaper. While he was in college, he want to write articles for the newspaper under the pseudonym, “Eagle Jones”.
Jones began his journey within the finance business by trading cotton. He started trading on his own following 4 years of non-trading experience, made profits from his trades but got bored, and later hired people to trade for him so he would not get bored.
But the trade that shot him to fame came on Black Monday in 1987, when he made an estimated $100 million whilst the Dow Jones Industrial Average plunged 22%.
He became a pioneer within the area of worldwide macro investing and was an enormous player within the meteoric growth of the hedge fund industry. He's also known for depending on currencies and interest rates.
He founded his hedge fund, Tudor Investment Corp, in 1980. The fund currently has around $21 billion in assets under management and he himself has an estimated net worth of nearly $5.8 Billion.
John Paulson
Super-trader John Paulson built a private fortune worth $4.4 billion from managing other people’s money. Born in 1955, Paulson made his name and far of his money betting a huge amount of money against the U.S. housing market during the worldwide financial crisis of 2007–2008.
Paulson bought insurance against defaults by subprime mortgages before the market collapse in 2007. He netted an estimated $20 billion on the collapse of the subprime mortgage market, dubbed the best trade ever.
However, his diary since that bet has been patchy at the best . Within the years following the financial crisis, Paulson struggled to match this success.
Failed bets on gold, healthcare and pharmaceutical stocks caused investors to escape his hedge fund Paulson & Co, cutting its assets under management to $10 billion as of January 2020 from a high of $36 billion in 2011.
Earlier this year, Paulson announced the fund would stop managing money for outdoor clients and switch it into a family office. He launched the fund in 1994.
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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]

200 achievements of Modi Govt

  1. Fragile five to Fastest growing economy - India
  2. 11th largest to the 5th largest economy - India
  3. Share of world GDP from 2.43% in 2014 to 3.08% in 2018
  4. Average GDP 7.3% against 6.7% in previous regime
  5. Forex reserves from 300 bn USD in 2014 to 420 bn USD in 2018
  6. Doubling of FDI inflow from 36 bn USD in 2014 to 66 billion USD in 2018
  7. Inflation less than 2.3 % (Nov 18) against 10.1% in 2014
  8. Growth of sensex from 24,121.74 in 2014 to 36,395.03 on 12 Feb 19 (50.88%)
  9. Fiscal deficit under control
  10. Per capita income increased by 45% from Rs 86,647 in 2014 to Rs 1,25,397
  11. IT exemption from 2 lakh in 2014 to 5 lakh (effectively 9.85 lakh with home loan)
  12. Restaurant bills tax reduced from 18% in 2014 to 5%
  13. Transaction charges through card down from 1% to 0%, domestic money transfer fee down from Rs 5 in 2014 to zero
  14. Financial inclusion (32 crore bank accounts with 260 billion worth deposits). Almost 100% coverage from earlier 50%
  15. DBT (savings of 83000 crores @ 15000 crore annually), No of govt schemes DBT applied to increased from 34 in 2014 to 433, 2.7 lakh fake mid-day meal students, 3.3 crore fake LPG connections, 87 lakh fake MNREGA job cards, 3 crore fake ration cards eliminated
  16. Zero IT for businesses with turnover upto 60 lakhs
  17. GST exemplifying cooperative federalism, rates of 83 items down from pre-GST rates, out of 1211 items only 35 items in above 18% slab, 39% reduction of cost of basic household items. Average 1 lk crore monthly revenue through GST collection. Exempted for business upto 40 lk
  18. Insolvency and Bankruptcy Code, constitution of NCLT, 3 lakh crores of NPAs recovered, 66 cases resolved, 260 cases liquidated, resolution of stressed assets, 2100 companies pay back 83000 crore to banks settling their pending loan repayments
  19. 75 billion $ or Yen to Rupee exchange agreement with Japan
  20. 1 lakh shell companies deregistered, FCRA licenses of 4800 NGOs cancelled
  21. Fugitive Economic Offenders Bill, properties of economic fugitives seized and auctioned
  22. 1.9 lakh km of rural roads. Rural road connectivity at 91% from 55%
  23. 36 new airports, from 65 in 7 decades to 106, all states now in air connectivity map
  24. Effective international diplomacy following 59 visits to nations, 38 single, 10 double, 3 triple and 2 quadruple visits by PM.(Seen during Airstrikes,No Country opposed India)
  25. Benami Act for action against Money Laundering
  26. Rural sanitation coverage 95 % up from 39% (8.8 crore toilets)
  27. Solar energy capacity increased 8 fold from 2.63 GW to 22 GW, 19. 8.5 GW of biogas grid installed.
  28. Ganga waterway transportation, usage by shipping giant Maersk, cost of transportation reduced from 10/ton (road) / Rs 6/ton (rail) to Re 1/ton
  29. More than 2.4 crore households lit up, rural electricity coverage to households up from 70 to 95%, only 19836 homes remain (in Chhatisgarh) out of 2,48,09,235
  30. Electricity accessibility rank jump from 99 in 2014 to 26 in 2019
  31. 7 crore new gas connections to 3.5 crore households u/69000 conections per day, coverage 90% from 55%, 82% return for refill, 42% beneficiaries Dalits
  32. 14.4 crore mudra loans worth Rs 7 lakh crore disbursed
  33. 18000 remote villages connected with electricity
  34. 2.92 lakh km of optical fibre laid, 0.02% to 50% gram Panchayat connectivity
  35. Swachh bharat mission has saved, according to WHO, 3 lakh lives and will save 1.5 lakh lives per year.
  36. IT filers increase from 3.79 crore to 6.08 crore, enterprises registered for indirect tax up from 64 lk to 118 lakh
  37. Entry of India in global regimes Missile Technology Control regime (MTCR), WA (Wassenaar Arrangement) and Australia Group
  38. 17 crore soil health cards
  39. 1.5 crore houses built, 91.37 crore in rural areas and 13.5 lakh in urban areas against 25 lakh houses built between 2010-2014. House for all target year is 2022.
  40. 1,78,346 houses built in NE over existing 2875 houses built till 2014
  41. Home loan interest rate down from 10.3 % in 2014 to 8.4% in 2018, annual savings of Rs 47,160 for 30 lakhs over 30 years, no GST on affordable housing, 5% on remaining
  42. Trading agreement in rupee with Iran and UAE
  43. Common service centres up from 84k to 3 Lakh
  44. OROP implemented after 43 years, 35000 crores disbursed to 8 crore veterans
  45. India's vaccination programme Indradhanush amongst 12 best practices of world
  46. 5035 Jan Aushadhi and - 1054 medicines under price control (60-90% discounts).
  47. More than 150 Amrit stores, reduction of cost of cromium cobalt Knee implant from 1.58-2.5 lakh to 54,720 and high flex implant from Rs181728 to 56490 (69%), 85% reduction in cardiac stent price to Rs 28000
  48. 87% reduction in 400 cancer drugs
  49. Rate of Interest on higher education loans dropped from 14.75 in 2013 to 10.88% in 2019, savings of 1.18 lakh on 10 lakh loan over tenure of 60 months, Rs 2000 savings on EMI
  50. Data revolution: Cost of 1 GB $0.26 in India against $12.37 in US, $6.66 in UK and $75.2 in Zimbabwe. Unlimited mobile+ 45 Gb data = Rs 150 against Rs 1000 in 2013; annual savings of 10,200
  51. Katra rail line work completed after 16 years
  52. Dhola Sadiya bridge work completed after 16 years
  53. Sardar Sarovar Dam work completed after 15 years
  54. Aadhaar act
  55. Pakyong airport completed after 10 years
  56. Chennai Nashri Tunnel after 10 years
  57. Assam NRC after 40 years
  58. National War Memorial after 50 years
  59. NE cpas after 60 years
  60. Kollam bypass after 43 years
  61. Indo-Bangladesh enclaves after 42 years
  62. Bansagar canal project after 40 years
  63. Bogibeel bridge after 23 years
  64. Western peri expressway after 15 years
  65. Kota Chambal bridge after 11 years
  66. Maibang-Lumding Stretch completed
  67. Delhi Meerut Expressway completed
  68. Ganga Expressway project (world's longest) underway
  69. Metros in Ahmedabad, Nagpur, Jaipur, Lucknow, Washermenpet
  70. All umanned level crossings eliminated
  71. Ayushman Bharat: annual 5 lakh health care to every family, 15.05 lakh hospital admissions for secondary/ tertiary treatment, 2.4 crore e-cards generated as on 10 Mar 19 in 170 days. Target 50 crore people.
  72. 59minutes loan portal: 92,000 loan applications of MSME amounting to 30,000 crores approved, 6000 crores sanctioned till Nov 18
  73. 87% of farming house (owning land of 2 hctrs) or 12 cr ppl to get kisaan sammaan nidhi of Rs 6000 pr year. Rs 5215 cr transferred directly to 2.6 crore farmers in 37 days (for households with holding less than 0.01 hectares incm per month so far was Rs 8136 agnst exp of 6594
  74. 1.5 million electric rickshaws
  75. Procurement of 36 Rafale on Government to Government Basis avoiding middlemen
  76. 05 billion$ S 400 Triumf air defence missile system deal with Russia
  77. 145 M777 howitzer deal
  78. 22 Apache AH 64E multi-role combat helos
  79. 200 KA-226T helicopters
  80. 56 EADS CASA C-295 transport aircraft
  81. 15 CH 47 Chinook tactical transport helicopters
  82. 2.3 lakh Bullet proof jackets
  83. 1.6 lakh Bullet-proof helmets
  84. 777 mn USD Barak 8 LRSAM contract
  85. 5 bn USD S-400 air defence systems
  86. 10 Heron TP armed drones
  87. 4 additional P8I MR aircraft
  88. 40 units of Laser sensor border fence installed
  89. 72,400 Sig Sauer Assault rifles
  90. 100 self-propelled K9 Vajra howitzers
  91. 700000 AK-103 Kalashnikov assault rifles indigenous facility
  92. Surgical strikes in Myanmar, across LoC and in Pakistan. Only Country to bomb a Nuclear Powered Country
  93. 240 million visitors at Kumbh Mela 2019, cost 4236 crores @ Rs 177 per tourist, revenue 1.2 Lakh crores
  94. 833 teraflop supercomputer Param Shivay by IIT BHU at Rs 32.5 crores
  95. Divisional status to Ladakh
  96. 470 bed ESIC hospital in Ennore
  97. 100 bed ESIC hospital in Tiruppur
  98. Namami Gange - Ganga is 30% cleaner, 83 out of 97 ganga towns and 4456 villages achieved ODF status, 08 out of 16 drains emptying 16 crore l sewage into Ganga tapped. Target date Mar 2020
  99. 5,45,122 ODF villages, 598 ODF districts, 27 ODF states/ villages
  100. RERA implementation
  101. Udaan scheme - flight cost down from Rs 5000/1000 km in 2013 to 3400/1000 km in 2018, 34 airports operationalised, small towns connected, all states on aerial
  102. Preventive conservation of 39275570 folios, curative conservation of 3656863 filios, digitisation of 2.83 lakh manuscripts consisting of 2.93 crore pages
  103. India is now world's largest 2-wheeler manufacturer, 2nd largest smartphone manufacturer (94% of mobiles sold now made in India), 4th largest automaker, 2nd largest steel producer
  104. 5100 m Mandvi Bridge in Goa in 3.5 years
  105. Ease of doing Business ranking jump from 134 in 2014 to 77 in 2019
  106. Therubali - Singapur Bridge No 588
  107. Restoration of Asurgarh Fort, Kalahandi
  108. GeM portal with 731431 product categories, 180,862 registered sellers and 32114 govt buyers
  109. 10% EWS reservation
  110. 40% of ongoing 700 NH projects completed, adding 40,039 km between 2014-18 against 91,287 km between 1947-2014
  111. Highway construction rate jumped from 12 km/day in 2014 to 27 km/day in 2019
  112. 101 terrorists and 11 offenders extradited
  113. 90,000 ex-partite Indians evacuated
  114. Chabahar port, Sittwe port and Duqm port
  115. Military installation in Seychelles
  116. International logistics agreements with US, France and Singapore
  117. Work underway on 25 MLD ZLD Common Effluent Treatment Plant at Gujarat Eco Textile Park and will save 25 million litres of water per day
  118. Beautification of 65 railway stations, all stations fitted with LED lights, wi-fi, multi-brand food centres, kiosks, executive lounges, lifts (445 from 97 in 2014), escalators (603 from 199 in 2014), travellators and ramps
  119. Record number of foot over bridges built
  120. 871 new train services
  121. 180 new rail lines
  122. Dedicated railway freight corridor - 2 sections completed
  123. 100% electrification of railways underway, first solar powered railway station (Guwahati). First solar powered train (world's second), savings of Rs 40 Lakhs and 90,000 ltrs diesel per year
  124. Make in India semi-high-speed trains - Tejas, Gatiman and Vande Bharat
  125. Humsafar and Antodaya trains, Deen Dayalu and Anubhuti coaches, UDAY double decker, glass dome Vistadome coaches
  126. Project Swarn and Project Utkrisht to upgrade Rajdhani/Shatabdi and Mail/Express respectively
  127. Largest coach production in world at ICF, Chennai
  128. No more human extreta on railway tracks. Installation of 1.37 lakh out of 2.5 lakh completed in Jun 18.
  129. 400 wi-fi railway stations (Aug 18)
  130. 80% reduction in rail accidents
  131. 10 high speed rail corridors underway, target date 2025-26
  132. Export of world class customised coaches from MCF, Rae Bareli
  133. LIC and Air India register profit
  134. 2300 km rail tracks constructed, speed jumped from 4.1 km/day in 2014 to 6.53 km/day in 2018
  135. Neem coating of urea
  136. Gokul mission - record 160 million ton milk production
  137. Online availability of CBSE and NCERT books
  138. 10 crore LED bulbs distributed, 5000 crore savings
  139. Investment in urban infrastructure jumped from 157703 crores to 795500 crores
  140. Statue of Unity to commemorate Iron Man of India
  141. Rs 2509 crore sales in Khadi
  142. 482.36 million digital transactions worth Rs 74,978 crores in Oct 2018 against 0.3 million transactions worth Rs 90 crores in Nov 2016
  143. 30% increase in ATMs, 208% increase of PoS machines from 10.81 lakh in May 14 to 33.32 lakh in Aug 18, 111% increase in credit cards from 1.94 crore in May 14 to 4.10 crore in Aug 18, 144% increase in debit cards from 40.17 crore to 98.02 crore
  144. Ease of Doing Business Index 142 (2014) to 100 (2018)
  145. Ease of getting electricity index 99 (2014) to 26 (2018)
  146. UN's e-govt index 118 (2014) to 97(2018)
  147. Globalisation index 112 to 107 (2018)
  148. Innovation index 76 to 60 (2018)
  149. Competitiveness index 71 to 39
  150. Logistics performance index 54 to 35
  151. Global peace index 141 to 137
  152. DBR ranking 100 to 77
  153. India ranks 3rd in global start up ecosystem
  154. 06 crore jobs in MSME sector based on CII data
  155. 448 million formal jobs based on EPFO, NPS and PPF data
  156. 10 crore jobs in entrepreneurship via mudra and other schemes
  157. 80% increase in tax payers, 51.3 % increase in gross tax revenue
  158. Black Money report card - Voluntary income declaration scheme (Rs 65250 crore), IT search and survey operations (35,460 crore), Pradhan Mantri Garib Kalyan Yojana(5000 crore), Benami transactions Act (4300 crore), Black Money and Imposition of Tax Act (4100 crore)
160 Rs 6000 financial assiatence for pregnant women
161/1 . Sagarmala: port capacity increase from 8 to 14.7 lakh ton, cargo up from 89 to 116 MMT 8 new national waterways including ganga waterway NW-1 and Brahmaputra waterway NW-2.
161/2. domestic cruise service between Mumbai and Goa, ro-ro services on Ghoga-Dahej reducing travel distance from 294 to 31 km
161/3. New international cruise terminals at Chennai and Goa, railway line between Haridaspur and Paradip underway, LNG import terminal at Kamarajar port, Oil berth ai Jawahar Dweep,Coal berth at Mangalore port
161/4 . deep draft Iron ore berth at Paradip berth, JNPT SEZ, Kandla and Paradip smart industrial port city, largest dry dock and international ship repair facility at CSL, modernisation of 17 fishing harbours
  1. 800 km Delhi-Mumbai Expressway underway
  2. Replacement of bio-toilets with upgraded vacuum bio toilets in trains underway. Order for 500 placed on experimental basis.
  3. No terror strikes in hinterland
  4. 103 new KVs
  5. 62 new Navodaya Vidyalayas
  6. 6 new IITs against 16 in previous 57 years
  7. 6 new IIMs against 13 in previous 57 years
  8. 7 IIITs against 7 in previous 57 years
  9. 02 new IISER
  10. 12 new AIIMS against 7 in previous 57 years.
  11. 141 new universities against 30 in previous 57 years
  12. 01 new NIT
  13. Life Insurances @ Rs 12 annual and @ Rs 12 monthly premiums
  14. Atal Pension Yojana
  15. Pension to 42 crore people of unorganised sector
  16. Ambedkar memorial
  17. BHIM application for digital payments
  18. Khelo India Initiative for tracking of athletes' development, Rs 5 lk per annum scholarship for 1000 budding athletes per year for eight years each; monthly Rs 50000 out-of -pocket exptr, 2000 PETs, salary cap of coaches doubled from Rs 1-2 lk per month, target 15 yrs
  19. Special Task Force for Olympics
  20. RERA Act
  21. Bullet train maiden project
182/1. Rs 6.92 lakh crore Bharatmala project, 44 economic corridors with 9000 km road, 2000 km port connectivity, 9000km roads to connect district HQs with NH,
182/2. 2000 km road with Nepal, Bhutan, Bangladesh and Myanmar, opening up of 185 choke points, road development to char dham, 12 greenfield expressways spanning 1900 km
  1. 36 murtis retrieved and brought back to India in 2014-2019 under India Pride Project against 02 between 2000-2013, 02 in 90s, 03 in 80s, 01 in 70s and nil in 50s and 60s
  2. Unemployment rate 3.8% against 13.8 % in 2013
  3. India is a less-cash society now
  4. Develpment of Trincomalee and Columbo port while checkmating China's Hambantota by taking operations of near by (15 km away) Mattala Rajapaksha International Airport
  5. Plugging the 'double taxation avoidance' black money loophole through a new tax agreement with Mauritius
  6. Deal with Switzerland for automatic tax data sharing from 01 Jan 2019
189/1 Varanasi - Varanasi ring road phase 1 completed, phase 2 underway, inland waterways terminal, Babatpur airport highway, 140 MLD Dinaput STP, facelift to railway station, big cow shelter for stray cattle, BPO centre, piped gas project, Varanasi-Balia rail project,
189/2. Vande Bharat Express, Kashi Vishwanath temple - Ganga Ghat corridor project, renovation of all bathings ghats, LED illuminations of ghats and major roads, underground electricity cabling,
189/3. new sewage plants, 02 cancer treatment facilities, 65th to 29th rank in swachhata sarvekshan (2016), 90% ODF district.
  1. Creation of 100 Smart cities, 100 crore per year per city for 05 years, 500 acres for retrofitting, 50 acres for redevelopment, 250 acres for green field projects, 10% of energy from renewable resources, 80% of green building construction, special purpose vehicles.
191/1 Development of 500 AMRUT cities underway, urbanization project of rejuvenation and transformation which includes beach front development, prevention of beach erosion, improvement of water supply, replacement of pipelines,
191/2. New sewerage connections, greenery and open spaces, digital and smart facilities, e-governance, LED streetlights, public transport, storm water drainage projects in a phased manner, Target date 2022
  1. Increase in Child Sex Ratio (CSR) in 104 BBBP (Beti Bachao Beti Padhao) districts, anti-natal care registration in 119 districts and institutional deliveries in 146 out of total 640 districts as in Mar 18. CSR of Haryana increased from 871 to 914.
  2. International Yoga Day
  3. Aspirational Districts Programme: 115 'backward' districts placed under 'prabharis' and for competitive development on the basis of 49 performance indicators, target year 2022.
195/1. Make in India: 16.4 lakh crore investment committments, 1.5 lakh crore investment inquiries, 60 bn USD FDI, 26 sectors covered, 23 positions jump in World Bank's Doing Business Report (DBR), 32 places in WEF's Global Competitiveness Index (GCI),
195/2 19 places in Logistics Performance Index, 42 places in Ease of Doing Business index, schemes include Bharatmala, Sagarmala, dedicate freight corridors, industrial corridors, UDAN-RCS, Bharat Broadband Network, Digital India.
  1. 251 Passport Seva Kendras (PSKs) and Post Office Passport Seva kendras (POPSKs) against 77 till 2014, target of one PSK every 50 km across India.
  2. Unanimous election of Justice Dalveer Bhandari to ICJ forcing UK to pull out own nominee Christopher Greenwood, demonstrating India's clout in international arena.
  3. India Post Payments Bank: India's biggest banking outreach with 1.55 lakh post offices (2.5 times banking network) linked to IPPB system
  4. Philip Kotler award, Seoul Peace prize, Champion of the Earth Award, Grand Collar of the State of Palestine, Amir Abdulla Khan Award, King Abdulaziz Sash award, Amir Amanullah Khan award.
  5. 1900 gifts and memorabilia received by Modi auctioned and 11.7 crores added to Namami Gange fund, 1.4 c of Seoul Peace award also to Nammami Gange.
New Adds
  1. Removal of article 370 and thereby also 35a after several decades.
  2. Giving citizenship to persecuted minorities in Pakistan, Bangladesh and Afghanistan through passing of CAA.
  3. Trust for creation of Ram Mandir underway.
  4. Abolishment of Haj subsidy.
  5. Abolishment and criminalization of instant triple talak.
  6. Deal with Bodo community.
  7. Getting Maulana Masood Azhar listed as an UN designated terrorist.

Source - https://www.reddit.com/IndiaRWResources/comments/bgkus6/200_achievements_of_modi_govt/

List more achievements in the comment section and lets make the list bigger, a big thank you to our fallen kar sevak u/Alive_Firefighter
submitted by justchillar to Chodi [link] [comments]

What impact does NFP have on the forex market?

Nonfarm payroll employment is a compiled name for goods, construction and manufacturing companies in the US. It does not include farm workers, private household employees, or non-profit organization employees.
It is an influential statistic and economic indicator released monthly by the United States Department of Labor as part of a comprehensive report on the state of the labor market.
The Bureau of Labor Statistics releases data on the first Friday of the month, at 8:30 a.m. Eastern Time.
This data is analyzed closely because of its importance in identifying the rate of economic growth and inflation.
Nonfarm payroll is included in the monthly Employment Situation or informally the jobs report and affects the US dollar, the Foreign exchange market, the bond market, and the stock market.
The markets react very quickly and most of the time in a very volatile fashion around the time the NFP data is released. The short-term market moves indicate that there is a very strong correlation between the NFP data and the strength of the US dollar. Historical price movement data shows a small negative correlation between the NFP data and the US dollar Index.
The figure released is the change in nonfarm payrolls (NFP), compared to the previous month, and is usually between +10,000 and +250,000 during non-recessional times. The NFP number is meant to represent the number of jobs added or lost in the economy over the last month, not including jobs relating to the farming industry.
As with other indicators, the difference between the actual non-farm data and expected figures will determine the overall impact on the market. If the non-farm payroll is expanding, this is a good indication that the economy is growing, and vice versa. However, if increases in non-farm payroll occur at a fast rate, this may lead to an increase in inflation. In forex, the level of actual non-farm payroll compared to payroll estimates is taken very seriously. If the actual data comes in lower than economists' estimates, forex traders will usually sell U.S. dollars in anticipation of a weakening currency. The opposite is true when the data is higher than economists' expectations.
submitted by top1markets to u/top1markets [link] [comments]

What impact does NFP have on the forex market?

What impact does NFP have on the forex market?
Nonfarm payroll employment is a compiled name for goods, construction and manufacturing companies in the US. It does not include farm workers, private household employees, or non-profit organization employees.

https://preview.redd.it/7xp41ft401a51.jpg?width=750&format=pjpg&auto=webp&s=467c40fa530f23c5a425c3aa449b3e306a027381
It is an influential statistic and economic indicator released monthly by the United States Department of Labor as part of a comprehensive report on the state of the labor market.
The Bureau of Labor Statistics releases data on the first Friday of the month, at 8:30 a.m. Eastern Time.
This data is analyzed closely because of its importance in identifying the rate of economic growth and inflation.
Nonfarm payroll is included in the monthly Employment Situation or informally the jobs report and affects the US dollar, the Foreign exchange market, the bond market, and the stock market.
The markets react very quickly and most of the time in a very volatile fashion around the time the NFP data is released. The short-term market moves indicate that there is a very strong correlation between the NFP data and the strength of the US dollar. Historical price movement data shows a small negative correlation between the NFP data and the US dollar Index.
The figure released is the change in nonfarm payrolls (NFP), compared to the previous month, and is usually between +10,000 and +250,000 during non-recessional times. The NFP number is meant to represent the number of jobs added or lost in the economy over the last month, not including jobs relating to the farming industry.
As with other indicators, the difference between the actual non-farm data and expected figures will determine the overall impact on the market. If the non-farm payroll is expanding, this is a good indication that the economy is growing, and vice versa. However, if increases in non-farm payroll occur at a fast rate, this may lead to an increase in inflation. In forex, the level of actual non-farm payroll compared to payroll estimates is taken very seriously. If the actual data comes in lower than economists' estimates, forex traders will usually sell U.S. dollars in anticipation of a weakening currency. The opposite is true when the data is higher than economists' expectations.
submitted by top1markets to u/top1markets [link] [comments]

10CFDS REVIEW

Overview:

The offshore broker 10CFDS is situated in Belize. It provides many trading instruments, consist of more than forty FX pairs and binary CFDs. The leverage is up to 1:200 and is provided on a web-based trading terminal. However, it's regulatory and license status is not at all promising. If any of you are willing to trade with it, make sure to read this 10CFDS review first.

About 10CFDS:

The broker 10CFDS provides all sorts of trading instruments. It involves forty-six FX pairs viz SD/HKD, USD/MXN, USD/CZK, USD/RUB, USD/SEK, USD/NOK, USD/SGD, USD/PLN, USD/ZAR, USD/TRY, and USD/DKK. It also provides CFDs on natural resources, the farm produces, twenty-four indexes, shares, and cryptocurrencies.
The leverage offered by this broker is 1:200. Many Markets Authority has decided to allow the maximum leverage of 1:30. The broker's offerings miss on the regulator’s directives. The payment can be made by cards, wire transfer, PaySafeCard, Neteller, Skrill, and Western Union. Unfortunately, the broker does not accept payment via bitcoins. To start trading with 10CFDS traders are required to deposit $250 only. This requirement is acceptable but several regulated brokers in the market accept very low initial deposits.
The SPEED SOLUTIONS Ltd is the owner of the 10CFDS trademark and is registered in Belize. The firm claims to be regulated by the local International Financial Services Commission. The client's payments are processed by the Estonian firm named SPEED PAYMENTS OU.
The IFSC does not require strict prerequisites to offer regulation. It also loosely oversees such brokers. Hence there is no guarantee for the safety of funds. All reputed regulators have banned controversial trading bonuses but the broker under consideration offers several bonuses. These bonuses are merged with uncontrolled trading practices such as the requirement of the specified trading volume. If these conditions are not fulfilled, the broker can cancel your trading account, locking invested funds.
Furthermore, the withdrawal process at 10CFDS may take up to 21 working days to be processed. This time frame is lengthy. Also, the withdrawal is charged with a 3.5% service fee, $ 1.5 is charged as a profit clearance fee, and an additional $ 20 is applicable as a monthly maintenance fee. A regulated broker does not have such practices. The provided spread of 3 pips can be seen on EURUSD FX pair while checking the web-based trading platform. This spread is high and attractive but it raises the cost of trading. For higher profit, tighter spreads are anticipated. The broker claims to offer to trade on the MT platform but in reality, it offers some web-based platform.

Is 10CFDS scam or legit?

The above discussion indicates several flaws of this broker. The regulation of this broker does not cover investment refunds. The broker is also offshore. We are convinced that the broker is hazardous to the trader's fund and can be a forex scam broker. Staying away from this broker is advised.
submitted by fraudbrokers to u/fraudbrokers [link] [comments]

IQ stock broker is a Forex & bitcoin Company in USA Founded in 2012 by a team of highly motivated professionals who are very passionate about trading on the world’s financial market, and are keen on empowering

Bitcoin, Cryptocurrency, forex, make money, online trade, stock exchange
IQ Stock Broker
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This makes it easy to trade from anywhere… at any time. You don’t need to have any previous trading experience to get going. It is as easy as 1-2-3. The interface is remarkably user friendly. We have worked hard to ensure processes are fast and intuitive. Using our platform, customers can trade on options such as currencies, indices, stocks and commodities round the clock. We provide the most flexible pricing and the most suitable options on the market among all the Forex & Bitcoin companies in USA. Our objective is to make the trading process as simple and profitable as possible for all level of trader. Our team consists experienced professionals with backgrounds in binary trading, derivatives, risk management, payment processing as well as international laws and legislation. Contact us for Bitcoin, Cryptocurrency, forex, make money, online trade, stock exchange. IQ stock broker is listed in American Stock Exchange.
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submitted by IQstockbroker to u/IQstockbroker [link] [comments]

A REVIEW ON EXERGLOBAL AND CURRENT IMPRESSIVE FEATURES

A REVIEW ON EXERGLOBAL AND CURRENT IMPRESSIVE FEATURES

https://preview.redd.it/64wgt0e4atn41.jpg?width=728&format=pjpg&auto=webp&s=84cc964015d074caf5530802b2c6b1e4a06ed552
Blockchain technology emerged into the mainstream market because of cryptocurrency. Bitcoin was the first digital currency to adopt blockchain for it's transactions, overtime the potential of this technology was discovered to be more than a medium of transaction for cryptocurrencies. Several industries can benefit from the use of blockchain technology. Despite the finance industry being first to adopt this technology, other prestigious startups and industries have also started incorporating blockchain after noticing it's excellent features and qualities. Today, blockchain continues to transform conventional business models in different ways, thus acknowledged as the foundation for numerous development. Startups are more focused on harnessing the potential of blockchain to provide technical and innovative solutions to problems of current society. Integrating this technology into activities of modern business and startups creates pathways for gaining competitive advantage in the market. ExerGlobal is an example of such companies that have researched and adopted this technology which secures more advantage to move ahead of the competition. WHAT IS EXERGLOBAL? ExerGlobal, a worldwide affiliate and investment business venture that offers various services in Mining, Cannabis CBD products, Digital Currencies Education and Investment. The company was founded in 2017, since then, expanded it's services into cultivation and sales of cannabis in Switzerland. ExerGlobal became involved in cannabis production due to Swiss new legislation declared in 2017. This changed legislation allowed companies to manufacture and sale cannabis including associated products if only it contains less than 1% THC. Therefore, ExerGlobal aims to allow investors make huge returns from established legal cannabis farms in Switzerland via introduced secure and profitable cryptocurrency (VIRIDI coin), fully supported by viable and successful cannabis industry. MAIN FEATURES OF EXERGLOBAL - Viridi Coin A cryptocurrency created and launched by ExerGlobal in 2018. The Viridi coin is built on POW/POS, for the cannabis industry and enables users to invest as well receive good returns easily.
Benefits of Viridi Coin - Viridi coin serve as Crypto to one solution which possess cryptocurrency based digital economic system. - Available cross platform wallet named Viridi wallet. - Gives investors access to various types of investments, exchanges, wallet and transactions. - Viridi coin is developed on Explorer Blockchain that permit users to evaluate wallet balances and obtain simpler access to the wallet. - Inbuilt ecosystem enables Viridi coin owners to perform online and offline transactions.
https://preview.redd.it/kdkdidgpatn41.png?width=640&format=png&auto=webp&s=7bc49c8496d6f570ce703291fcb10104e6af969f
- Exer School This is another interesting project from ExerGlobal. The mission of Exer School is to educate interested individuals about cryptocurrencies and their impact in modern economy. Anyone can easily join and become an expert on digital currencies by learning through Exer School and it's incredible innovation. - Exer Mining Exer Mining plays a unique role of being an excellent mining program from ExerGlobal. This allows users to mine Ethereum and Monero digital currencies and can be stored in personal online account. The mined digital currencies can be traded for Litecoin. ExerGlobal team have announced that users can mine Viridi coin from the year 2020. - XPC Coin XPC coin was designed by ExerGlobal to be a proof of stake coin, which produces returns from Trading, Exer Games and Forex Trading. XPC is made available in three forms such as Life, Premium and Invest. - Exer Games A Game development branch from ExerGlobal company. Exer Games was introduced in mid 2019 and focuses on developing proprietary Casino and Smart phone games recognized as Youniq Games. The developed games is connected to XPC coin and owners will receive micro dividends from Casino and Adventure games including Viridi Forex. CONCLUSION The ExerGlobal project have introduced a new dimension of profitable investment that is unrivaled by competitors. These innovative products and services available within the expanded network of Exer Global will help propel the project ahead of the competition in the market, hence ExerGlobal requires more attention from investors because it will definitely become successful in the future.
For more details, kindly visit the official links below ; Website: https://exerglobal.com/ Mining: http://exermining.com/ White Paper: https://exerglobal.com/Download/pdf/sv/eXer%20Presentation%207lvl.pdf Facebook: https://www.facebook.com/youniqexerglobalgroup Twitter: https://twitter.com/YouniqG Telegram: https://t.me/youniq\_exerglobal\_group WRITER DETAILS, Bitcointalk Username : Johnson Knight Bitcointalk Profile URL : https://bitcointalk.org/index.php?action=profile;u=2326370;sa=summary Telegram username : @crimson_osito
submitted by Cryptosaurus94 to CryptoCluster [link] [comments]

200 achievements of Modi Govt

  1. Fragile five to Fastest growing economy - India
  2. 11th largest to the 5th largest economy - India
  3. Share of world GDP from 2.43% in 2014 to 3.08% in 2018
  4. Average GDP 7.3% against 6.7% in previous regime
  5. Forex reserves from 300 bn USD in 2014 to 420 bn USD in 2018
  6. Doubling of FDI inflow from 36 bn USD in 2014 to 66 billion USD in 2018
  7. Inflation less than 2.3 % (Nov 18) against 10.1% in 2014
  8. Growth of sensex from 24,121.74 in 2014 to 36,395.03 on 12 Feb 19 (50.88%)
  9. Fiscal deficit under control
  10. Per capita income increased by 45% from Rs 86,647 in 2014 to Rs 1,25,397
  11. IT exemption from 2 lakh in 2014 to 5 lakh (effectively 9.85 lakh with home loan)
  12. Restaurant bills tax reduced from 18% in 2014 to 5%
  13. Transaction charges through card down from 1% to 0%, domestic money transfer fee down from Rs 5 in 2014 to zero
  14. Financial inclusion (32 crore bank accounts with 260 billion worth deposits). Almost 100% coverage from earlier 50%
  15. DBT (savings of 83000 crores @ 15000 crore annually), No of govt schemes DBT applied to increased from 34 in 2014 to 433, 2.7 lakh fake mid-day meal students, 3.3 crore fake LPG connections, 87 lakh fake MNREGA job cards, 3 crore fake ration cards eliminated
  16. Zero IT for businesses with turnover upto 60 lakhs
  17. GST exemplifying cooperative federalism, rates of 83 items down from pre-GST rates, out of 1211 items only 35 items in above 18% slab, 39% reduction of cost of basic household items. Average 1 lk crore monthly revenue through GST collection. Exempted for business upto 40 lk
  18. Insolvency and Bankruptcy Code, constitution of NCLT, 3 lakh crores of NPAs recovered, 66 cases resolved, 260 cases liquidated, resolution of stressed assets, 2100 companies pay back 83000 crore to banks settling their pending loan repayments
  19. 75 billion $ or Yen to Rupee exchange agreement with Japan
  20. 1 lakh shell companies deregistered, FCRA licenses of 4800 NGOs cancelled
  21. Fugitive Economic Offenders Bill, properties of economic fugitives seized and auctioned
  22. 1.9 lakh km of rural roads. Rural road connectivity at 91% from 55%
  23. 36 new airports, from 65 in 7 decades to 106, all states now in air connectivity map
  24. Effective international diplomacy following 59 visits to nations, 38 single, 10 double, 3 triple and 2 quadruple visits by PM.(Seen during Airstrikes,No Country opposed India)
  25. Benami Act for action against Money Laundering
  26. Rural sanitation coverage 95 % up from 39% (8.8 crore toilets)
  27. Solar energy capacity increased 8 fold from 2.63 GW to 22 GW, 19. 8.5 GW of biogas grid installed.
  28. Ganga waterway transportation, usage by shipping giant Maersk, cost of transportation reduced from 10/ton (road) / Rs 6/ton (rail) to Re 1/ton
  29. More than 2.4 crore households lit up, rural electricity coverage to households up from 70 to 95%, only 19836 homes remain (in Chhatisgarh) out of 2,48,09,235
  30. Electricity accessibility rank jump from 99 in 2014 to 26 in 2019
  31. 7 crore new gas connections to 3.5 crore households @69000 conections per day, coverage 90% from 55%, 82% return for refill, 42% beneficiaries Dalits
  32. 14.4 crore mudra loans worth Rs 7 lakh crore disbursed
  33. 18000 remote villages connected with electricity
  34. 2.92 lakh km of optical fibre laid, 0.02% to 50% gram Panchayat connectivity
  35. Swachh bharat mission has saved, according to WHO, 3 lakh lives and will save 1.5 lakh lives per year.
  36. IT filers increase from 3.79 crore to 6.08 crore, enterprises registered for indirect tax up from 64 lk to 118 lakh
  37. Entry of India in global regimes Missile Technology Control regime (MTCR), WA (Wassenaar Arrangement) and Australia Group
  38. 17 crore soil health cards
  39. 1.5 crore houses built, 91.37 crore in rural areas and 13.5 lakh in urban areas against 25 lakh houses built between 2010-2014. House for all target year is 2022.
  40. 1,78,346 houses built in NE over existing 2875 houses built till 2014
  41. Home loan interest rate down from 10.3 % in 2014 to 8.4% in 2018, annual savings of Rs 47,160 for 30 lakhs over 30 years, no GST on affordable housing, 5% on remaining
  42. Trading agreement in rupee with Iran and UAE
  43. Common service centres up from 84k to 3 Lakh
  44. OROP implemented after 43 years, 35000 crores disbursed to 8 crore veterans
  45. India's vaccination programme Indradhanush amongst 12 best practices of world
  46. 5035 Jan Aushadhi and - 1054 medicines under price control (60-90% discounts).
  47. More than 150 Amrit stores, reduction of cost of cromium cobalt Knee implant from 1.58-2.5 lakh to 54,720 and high flex implant from Rs181728 to 56490 (69%), 85% reduction in cardiac stent price to Rs 28000
  48. 87% reduction in 400 cancer drugs
  49. Rate of Interest on higher education loans dropped from 14.75 in 2013 to 10.88% in 2019, savings of 1.18 lakh on 10 lakh loan over tenure of 60 months, Rs 2000 savings on EMI
  50. Data revolution: Cost of 1 GB $0.26 in India against $12.37 in US, $6.66 in UK and $75.2 in Zimbabwe. Unlimited mobile+ 45 Gb data = Rs 150 against Rs 1000 in 2013; annual savings of 10,200
  51. Katra rail line work completed after 16 years
  52. Dhola Sadiya bridge work completed after 16 years
  53. Sardar Sarovar Dam work completed after 15 years
  54. Aadhaar act
  55. Pakyong airport completed after 10 years
  56. Chennai Nashri Tunnel after 10 years
  57. Assam NRC after 40 years
  58. National War Memorial after 50 years
  59. NE cpas after 60 years
  60. Kollam bypass after 43 years
  61. Indo-Bangladesh enclaves after 42 years
  62. Bansagar canal project after 40 years
  63. Bogibeel bridge after 23 years
  64. Western peri expressway after 15 years
  65. Kota Chambal bridge after 11 years
  66. Maibang-Lumding Stretch completed
  67. Delhi Meerut Expressway completed
  68. Ganga Expressway project (world's longest) underway
  69. Metros in Ahmedabad, Nagpur, Jaipur, Lucknow, Washermenpet
  70. All umanned level crossings eliminated
  71. Ayushman Bharat: annual 5 lakh health care to every family, 15.05 lakh hospital admissions for secondary/ tertiary treatment, 2.4 crore e-cards generated as on 10 Mar 19 in 170 days. Target 50 crore people.
  72. 59minutes loan portal: 92,000 loan applications of MSME amounting to 30,000 crores approved, 6000 crores sanctioned till Nov 18
  73. 87% of farming house (owning land of 2 hctrs) or 12 cr ppl to get kisaan sammaan nidhi of Rs 6000 pr year. Rs 5215 cr transferred directly to 2.6 crore farmers in 37 days (for households with holding less than 0.01 hectares incm per month so far was Rs 8136 agnst exp of 6594
  74. 1.5 million electric rickshaws
  75. Procurement of 36 Rafale on Government to Government Basis avoiding middlemen
  76. 05 billion$ S 400 Triumf air defence missile system deal with Russia
  77. 145 M777 howitzer deal
  78. 22 Apache AH 64E multi-role combat helos
  79. 200 KA-226T helicopters
  80. 56 EADS CASA C-295 transport aircraft
  81. 15 CH 47 Chinook tactical transport helicopters
  82. 2.3 lakh Bullet proof jackets
  83. 1.6 lakh Bullet-proof helmets
  84. 777 mn USD Barak 8 LRSAM contract
  85. 5 bn USD S-400 air defence systems
  86. 10 Heron TP armed drones
  87. 4 additional P8I MR aircraft
  88. 40 units of Laser sensor border fence installed
  89. 72,400 Sig Sauer Assault rifles
  90. 100 self-propelled K9 Vajra howitzers
  91. 700000 AK-103 Kalashnikov assault rifles indigenous facility
  92. Surgical strikes in Myanmar, across LoC and in Pakistan. Only Country to bomb a Nuclear Powered Country
  93. 240 million visitors at Kumbh Mela 2019, cost 4236 crores @ Rs 177 per tourist, revenue 1.2 Lakh crores
  94. 833 teraflop supercomputer Param Shivay by IIT BHU at Rs 32.5 crores
  95. Divisional status to Ladakh
  96. 470 bed ESIC hospital in Ennore
  97. 100 bed ESIC hospital in Tiruppur
  98. Namami Gange - Ganga is 30% cleaner, 83 out of 97 ganga towns and 4456 villages achieved ODF status, 08 out of 16 drains emptying 16 crore l sewage into Ganga tapped. Target date Mar 2020
  99. 5,45,122 ODF villages, 598 ODF districts, 27 ODF states/ villages
  100. RERA implementation
  101. Udaan scheme - flight cost down from Rs 5000/1000 km in 2013 to 3400/1000 km in 2018, 34 airports operationalised, small towns connected, all states on aerial
  102. Preventive conservation of 39275570 folios, curative conservation of 3656863 filios, digitisation of 2.83 lakh manuscripts consisting of 2.93 crore pages
  103. India is now world's largest 2-wheeler manufacturer, 2nd largest smartphone manufacturer (94% of mobiles sold now made in India), 4th largest automaker, 2nd largest steel producer
  104. 5100 m Mandvi Bridge in Goa in 3.5 years
  105. Ease of doing Business ranking jump from 134 in 2014 to 77 in 2019
  106. Therubali - Singapur Bridge No 588
  107. Restoration of Asurgarh Fort, Kalahandi
  108. GeM portal with 731431 product categories, 180,862 registered sellers and 32114 govt buyers
  109. 10% EWS reservation
  110. 40% of ongoing 700 NH projects completed, adding 40,039 km between 2014-18 against 91,287 km between 1947-2014
  111. Highway construction rate jumped from 12 km/day in 2014 to 27 km/day in 2019
  112. 101 terrorists and 11 offenders extradited
  113. 90,000 ex-partite Indians evacuated
  114. Chabahar port, Sittwe port and Duqm port
  115. Military installation in Seychelles
  116. International logistics agreements with US, France and Singapore
  117. Work underway on 25 MLD ZLD Common Effluent Treatment Plant at Gujarat Eco Textile Park and will save 25 million litres of water per day
  118. Beautification of 65 railway stations, all stations fitted with LED lights, wi-fi, multi-brand food centres, kiosks, executive lounges, lifts (445 from 97 in 2014), escalators (603 from 199 in 2014), travellators and ramps
  119. Record number of foot over bridges built
  120. 871 new train services
  121. 180 new rail lines
  122. Dedicated railway freight corridor - 2 sections completed
  123. 100% electrification of railways underway, first solar powered railway station (Guwahati). First solar powered train (world's second), savings of Rs 40 Lakhs and 90,000 ltrs diesel per year
  124. Make in India semi-high-speed trains - Tejas, Gatiman and Vande Bharat
  125. Humsafar and Antodaya trains, Deen Dayalu and Anubhuti coaches, UDAY double decker, glass dome Vistadome coaches
  126. Project Swarn and Project Utkrisht to upgrade Rajdhani/Shatabdi and Mail/Express respectively
  127. Largest coach production in world at ICF, Chennai
  128. No more human extreta on railway tracks. Installation of 1.37 lakh out of 2.5 lakh completed in Jun 18.
  129. 400 wi-fi railway stations (Aug 18)
  130. 80% reduction in rail accidents
  131. 10 high speed rail corridors underway, target date 2025-26
  132. Export of world class customised coaches from MCF, Rae Bareli
  133. LIC and Air India register profit
  134. 2300 km rail tracks constructed, speed jumped from 4.1 km/day in 2014 to 6.53 km/day in 2018
  135. Neem coating of urea
  136. Gokul mission - record 160 million ton milk production
  137. Online availability of CBSE and NCERT books
  138. 10 crore LED bulbs distributed, 5000 crore savings
  139. Investment in urban infrastructure jumped from 157703 crores to 795500 crores
  140. Statue of Unity to commemorate Iron Man of India
  141. Rs 2509 crore sales in Khadi
  142. 482.36 million digital transactions worth Rs 74,978 crores in Oct 2018 against 0.3 million transactions worth Rs 90 crores in Nov 2016
  143. 30% increase in ATMs, 208% increase of PoS machines from 10.81 lakh in May 14 to 33.32 lakh in Aug 18, 111% increase in credit cards from 1.94 crore in May 14 to 4.10 crore in Aug 18, 144% increase in debit cards from 40.17 crore to 98.02 crore
  144. Ease of Doing Business Index 142 (2014) to 100 (2018)
  145. Ease of getting electricity index 99 (2014) to 26 (2018)
  146. UN's e-govt index 118 (2014) to 97(2018)
  147. Globalisation index 112 to 107 (2018)
  148. Innovation index 76 to 60 (2018)
  149. Competitiveness index 71 to 39
  150. Logistics performance index 54 to 35
  151. Global peace index 141 to 137
  152. DBR ranking 100 to 77
  153. India ranks 3rd in global start up ecosystem
  154. 06 crore jobs in MSME sector based on CII data
  155. 448 million formal jobs based on EPFO, NPS and PPF data
  156. 10 crore jobs in entrepreneurship via mudra and other schemes
  157. 80% increase in tax payers, 51.3 % increase in gross tax revenue
  158. Black Money report card - Voluntary income declaration scheme (Rs 65250 crore), IT search and survey operations (35,460 crore), Pradhan Mantri Garib Kalyan Yojana(5000 crore), Benami transactions Act (4300 crore), Black Money and Imposition of Tax Act (4100 crore)
160 Rs 6000 financial assiatence for pregnant women
161/1 . Sagarmala: port capacity increase from 8 to 14.7 lakh ton, cargo up from 89 to 116 MMT 8 new national waterways including ganga waterway NW-1 and Brahmaputra waterway NW-2.
161/2. domestic cruise service between Mumbai and Goa, ro-ro services on Ghoga-Dahej reducing travel distance from 294 to 31 km
161/3. New international cruise terminals at Chennai and Goa, railway line between Haridaspur and Paradip underway, LNG import terminal at Kamarajar port, Oil berth ai Jawahar Dweep,Coal berth at Mangalore port
161/4 . deep draft Iron ore berth at Paradip berth, JNPT SEZ, Kandla and Paradip smart industrial port city, largest dry dock and international ship repair facility at CSL, modernisation of 17 fishing harbours
  1. 800 km Delhi-Mumbai Expressway underway
  2. Replacement of bio-toilets with upgraded vacuum bio toilets in trains underway. Order for 500 placed on experimental basis.
  3. No terror strikes in hinterland
  4. 103 new KVs
  5. 62 new Navodaya Vidyalayas
  6. 6 new IITs against 16 in previous 57 years
  7. 6 new IIMs against 13 in previous 57 years
  8. 7 IIITs against 7 in previous 57 years
  9. 02 new IISER
  10. 12 new AIIMS against 7 in previous 57 years.
  11. 141 new universities against 30 in previous 57 years
  12. 01 new NIT
  13. Life Insurances @ Rs 12 annual and @ Rs 12 monthly premiums
  14. Atal Pension Yojana
  15. Pension to 42 crore people of unorganised sector
  16. Ambedkar memorial
  17. BHIM application for digital payments
  18. Khelo India Initiative for tracking of athletes' development, Rs 5 lk per annum scholarship for 1000 budding athletes per year for eight years each; monthly Rs 50000 out-of -pocket exptr, 2000 PETs, salary cap of coaches doubled from Rs 1-2 lk per month, target 15 yrs
  19. Special Task Force for Olympics
  20. RERA Act
  21. Bullet train maiden project
182/1. Rs 6.92 lakh crore Bharatmala project, 44 economic corridors with 9000 km road, 2000 km port connectivity, 9000km roads to connect district HQs with NH,
182/2. 2000 km road with Nepal, Bhutan, Bangladesh and Myanmar, opening up of 185 choke points, road development to char dham, 12 greenfield expressways spanning 1900 km
  1. 36 murtis retrieved and brought back to India in 2014-2019 under India Pride Project against 02 between 2000-2013, 02 in 90s, 03 in 80s, 01 in 70s and nil in 50s and 60s
  2. Unemployment rate 3.8% against 13.8 % in 2013
  3. India is a less-cash society now
  4. Develpment of Trincomalee and Columbo port while checkmating China's Hambantota by taking operations of near by (15 km away) Mattala Rajapaksha International Airport
  5. Plugging the 'double taxation avoidance' black money loophole through a new tax agreement with Mauritius
  6. Deal with Switzerland for automatic tax data sharing from 01 Jan 2019
189/1 Varanasi - Varanasi ring road phase 1 completed, phase 2 underway, inland waterways terminal, Babatpur airport highway, 140 MLD Dinaput STP, facelift to railway station, big cow shelter for stray cattle, BPO centre, piped gas project, Varanasi-Balia rail project,
189/2. Vande Bharat Express, Kashi Vishwanath temple - Ganga Ghat corridor project, renovation of all bathings ghats, LED illuminations of ghats and major roads, underground electricity cabling,
189/3. new sewage plants, 02 cancer treatment facilities, 65th to 29th rank in swachhata sarvekshan (2016), 90% ODF district.
  1. Creation of 100 Smart cities, 100 crore per year per city for 05 years, 500 acres for retrofitting, 50 acres for redevelopment, 250 acres for green field projects, 10% of energy from renewable resources, 80% of green building construction, special purpose vehicles.
191/1 Development of 500 AMRUT cities underway, urbanization project of rejuvenation and transformation which includes beach front development, prevention of beach erosion, improvement of water supply, replacement of pipelines,
191/2. New sewerage connections, greenery and open spaces, digital and smart facilities, e-governance, LED streetlights, public transport, storm water drainage projects in a phased manner, Target date 2022
  1. Increase in Child Sex Ratio (CSR) in 104 BBBP (Beti Bachao Beti Padhao) districts, anti-natal care registration in 119 districts and institutional deliveries in 146 out of total 640 districts as in Mar 18. CSR of Haryana increased from 871 to 914.
  2. International Yoga Day
  3. Aspirational Districts Programme: 115 'backward' districts placed under 'prabharis' and for competitive development on the basis of 49 performance indicators, target year 2022.
195/1. Make in India: 16.4 lakh crore investment committments, 1.5 lakh crore investment inquiries, 60 bn USD FDI, 26 sectors covered, 23 positions jump in World Bank's Doing Business Report (DBR), 32 places in WEF's Global Competitiveness Index (GCI),
195/2 19 places in Logistics Performance Index, 42 places in Ease of Doing Business index, schemes include Bharatmala, Sagarmala, dedicate freight corridors, industrial corridors, UDAN-RCS, Bharat Broadband Network, Digital India.
  1. 251 Passport Seva Kendras (PSKs) and Post Office Passport Seva kendras (POPSKs) against 77 till 2014, target of one PSK every 50 km across India.
  2. Unanimous election of Justice Dalveer Bhandari to ICJ forcing UK to pull out own nominee Christopher Greenwood, demonstrating India's clout in international arena.
  3. India Post Payments Bank: India's biggest banking outreach with 1.55 lakh post offices (2.5 times banking network) linked to IPPB system
  4. Philip Kotler award, Seoul Peace prize, Champion of the Earth Award, Grand Collar of the State of Palestine, Amir Abdulla Khan Award, King Abdulaziz Sash award, Amir Amanullah Khan award.
  5. 1900 gifts and memorabilia received by Modi auctioned and 11.7 crores added to Namami Gange fund, 1.4 c of Seoul Peace award also to Nammami Gange.
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5 Simple STEPS to trade the Non Farm Payroll (NFP) - YouTube Forex Profit Farm - Best Forex Day Trading System Forex NFP Trading Strategy That Works - YouTube Forex Trading - NFP Forex Trading FOREX LIVE TRADING - PROFIT Non Farm Payroll SIMPLE & PROFITABLE Trend-following Forex Trading Strategy ... Trading The Non Farm Payroll

Is the Forex Profit Farm system a scam? This is a day trading strategy that works to make money by scalping and day trading the Forex market. Even though there have been many day trading systems released before FX Profit Farm, I have never found one that works to make money consistently. This method of making money from the currencies market can be very difficult as it involves quick decision ... This NFP figure, released monthly by the US Bureau of Labor Statistics, provides a glimpse of how the US economy is currently performing, which in turn has a direct influence on policymakers’ decision making. NFP (non-farm payrolls) is called such because it is the total number of jobs added in the US economy except government, farm, non-profit and private household employees (farm and ... 0.01 lot size in forex or micro lot is position size in trading. Position size of 0.01 lot for EURUSD currency pair, for every 10 pips gain will give a $1 profit (10 cents per pip). So for EURUSD means that 10 pips for 0.01 lot size profit is $1. 0.01 lot size or 1000 units or micro lot is the smallest position size when we talk about standard forex accounts. The standard lot size forex is 1 ... US Dollar: Possible Profit Taking Actions before Non-farm Payrolls Medion Jim, George Lam September 1, 2020 11:38 PM On Tuesday, the ICE U.S. Dollar Index has stabilized after briefing dropping to its weakest level in more than two years, ending up 0.1% on day to 92.31. U.S. ADP private jobs report for August will be today's focus, with an increase of 1 million expected and compared with ... Forex profit calculator is a trading tool that calculates applied margin requirements, volume, rollover commissions, resulting profit or loss based on specifying position and account details. Forex profit calculator. A Margin Requirement is the percentage of securities that a trader must pay for with his/her own cash. The volume commission is charged in the primary currency for each opening or ... Forex Profit Farm is a highly profitable trading system that anyone can use and can get amazing returns from forex market. It is a step by step trading strategy that covers all the aspects that are necessary to run trades effectively for maximum profits. In simple terms Forex Profit farm may just be the answer to all your questions. US Dollar: Possible Profit Taking Actions before Non-farm Payrolls Medion Jim, George Lam September 2, 2020 4:38 AM On Tuesday, the ICE U.S. Dollar Index has stabilized after briefing dropping to its weakest level in more than two years, ending up 0.1% on day to 92.31. U.S. ADP private jobs report for August will be today's focus, with an increase of 1 million expected and compared with ... Forex Profit Farm Coupons is the best choice especially when you are seeking for some great gift to be gifted to a special one packaged in a distinctive packaging style. If you are also up for gifting someone a great gift and also want to surprise them with the packaging of gift then for sure Forex Profit Farm Coupons is the best choice because ... 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 ... Hello every one! I recently found this offer, Forex Profit Farm – Best Forex Trading System Forex Profit Farm – Day Trading System.Earn 75% Comm. High Conv., it seems very excited to me.The site present great offer on Forex Profit Farm – Best Forex Trading System Forex Profit Farm – Day Trading System.Earn 75% Comm. High Conv. with reviews and ratings available.

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5 Simple STEPS to trade the Non Farm Payroll (NFP) - YouTube

"High Profit Trades found with Candlestick Breakout Patterns" ... Trade Forex of Non-Farm Payroll on 4 May 2018 Profit 436$ - Duration: 31:26. Lekbiz Pro 3,278 views. 31:26. The Best Way To Trade ... Non Farm Payroll (NFP) is one of the biggest news that can move the Forex market. This video discusses 5 simple steps to trade the NFP report. The topics cov... https://www.ForexProfitFarm.com The revolutionary forex day trading system is launching on 23-Feb-09. Visit the site to join the pre launch list and also get... Discover how to trade NFP like a pro without killed by the markets. Here’s the thing: Many traders are lured into trading the news because you can make profi... Learn my other profitable strategies: https://bit.ly/2xpgWqMIn this video, I will walk you through a simple forex trend-following strategy that I've been tradin... Forex Trading - NFP Forex Trading This video will show you a forex trading day when Non-Farm payrolls released and we have booked +7%, +9% and 2% respectively in 3 Forex trading accounts using ... Trading forex hingga 50% profit saat hari Non-Farm Payrolls? Bukan tidak mungkin. Awalnya serasa bikin video gagal, tapi ternyata..... Panduan dan sharing seputar trading forex secara live.

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