Economic Calendar - DailyFX

Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

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

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

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

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

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

Introduction

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

Why use an economic calendar

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

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

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

Reading the economic calendar


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

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

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

Event importance

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

Knowing what's priced in

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

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

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

An example of pricing in

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

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

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

Surveys

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

Interest rates decisions

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

See the link for a demo

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

Second order thinking

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

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

Coming up in part II

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

Gold pays the debts back. 10.11.2020

Gold pays the debts back. 10.11.2020
Many bullish factors are already price in the XAUUSD. The hope for the global economic recovery as vaccines are being developed encourages speculators to exit gold longs. Let us discuss gold prospects and make up a XAUUSD trading plan.

Monthly gold fundamental forecast

Gold is rolling down, and my forecast comes true. Just a few days ago, I recommended selling gold on the rebound from the resistance at $1965. Gold has been more than 5% down, and one could have made quite a lot of money on this strategy. Most of the positive factors have already been priced in the XAUUSD. The good news about COVID-19 vaccines has crashed the gold prices.
Gold trades could face the same situation as it was in 2011. 9 years ago, the global economy was recovering after the recession; massive fiscal and monetary stimuli weakened the world’s major currencies and fueled up inflation expectations, which was a bullish factor for the XAUUSD. However, consumer prices grew very slowly, and the gold uptrend broke down. In 2020, the hopes for the expansion of financial aid to at least $2 trillion encouraged the gold bulls to go ahead. Nonetheless, the divided congress and the information about vaccines set the gold buyers back.
The gold uptrend seemed to base on a strong foundation. The monetary stimuli now are the biggest ever, which boosts the central banks’ balance sheets, weakening the global currencies and increasing the volume of negative-yielding bonds up to a record high of $17.05 trillion.

Dynamics of central banks’ balance sheets


Source: Wall Street Journal

Dynamics of volumes of bonds with negative yields


Source: Bloomberg
Nonetheless, the situation cannot be stable by its nature, and it is going to change.
First, grate money supplies provided by central banks turned out into a liquidity trap. Additional monetary stimuli won’t be as effective as they used to be. It is evident from the reaction of the Australian dollar and the British pound to the monetary easing performed by the RBA and the BoE. These currencies strengthened, though they should have weakened under normal conditions. Regulators are more likely to change the structure of the QE rather than the volumes. The balance sheets should not increase as fast as before.
Second, Joe Biden’s victory along with the divided Congress lowers the chances of a massive fiscal stimulus. The gold bulls’ hopes for the reflationary policy, which could have been performed along with the presence of the ‘blue wave’, haven’t met the reality. That is why the speculators are exiting the gold longs.
Finally, if the information about the effectiveness of the OCVID-19 vaccine is true, the global economic recovery will drive the global bond market rates up and encourage investors to sell off the XAUUSD. Gold uptrend might recover only if the dollar is weak, but that will hardly happen soon. The dollar should weaken against the euro only provided the EU cancels the restrictions.

Monthly gold trading plan

I recommend holding down the shorts entered at level $1965. It will be relevant to add up to the sell positions if the price fails to break out the resistance at $1900 and $1915 or tests the supports at $1875 and $1860.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/gold-pays-the-debts-back-10112020/?uid=285861726&cid=62423
submitted by Maxvelgus to Finance_analytics [link] [comments]

Yen places its opponent in check. Analysis as of 04.11.2020

Yen places its opponent in check. Analysis as of 04.11.2020

Monthly fundamental forecast for yen

While the greenback is waiting for the election's final results, trading currency cross rates may be worth considering. The US political landscape will undoubtedly affect most currencies, but the pandemic remains a weightier factor in Forex pricing in the medium and long terms. The strategies based on the divergence in epidemiological situations, economic growth, and monetary policies continue to yield profits. Another confirmation is the realization of the targets at 122.9 and 121.8 set in mid-October for shorts in the EURJPY.
COVID-19 hit Japan less than the eurozone: in terms of Coronavirus cases per 100,000, Japan is one of the countries that tackle the pandemic most efficiently, along with China, Taiwan, and South Korea. The situation in Belgium, Spain, and Italy looks gloomy, on the contrary.

Recession and pandemic


Source: Financial Times.
As a result, Europe is forced to introduce new restrictions, which will cut the eurozone's Q4 GDP by 2.3%, according to Financial Times. Thus, a double recession is certainly in the air. The organization of economic development and cooperation expects that the currency block's economy will reduce 7.9% in 2020, i.e., twice as much as during the previous global crisis. I dare suppose that the second wave may even downgrade those forecasts.
The BoJ expects that the Japanese GDP will fall by 5.5% by the end of the 2020/2021 fiscal year in March. Japan's economic loss doesn't look as significant as the eurozone's since the efficiency of anti-pandemic measures in Asia is higher than in Europe.

GDP dynamics

Source: Financial Times.
Christine Lagarde is sure the ECB will expand a monetary stimulus package in December as the coronavirus is spreading fast across Europe. Haruhiko Kuroda and his colleagues are ready to take action if necessary, but the BoJ's Head has not seen such a necessity so far. Both regulators got caught in a liquidity trap where softer monetary policies do not have any positive effect. Both agree to play currency wars, but the ECB's intentions are manifest, and the euro is therefore falling faster than other G10 currencies.

Monthly trading plan for EURJPY

The situation may seriously change soon: vaccines' development will support the global economic recovery and international trade, which is positive news for the euro. The European countries will lift restrictions, and Christine Lagarde's hints about QE expansion will remain mere hints. According to Governor of the Austrian National Bank Robert Holzmann, there is no point in increasing buy volumes as the inflation won't speed up anyway. Instead, a change in the QE program's structure must be in focus.
This scenario looks too optimistic, though. But why not hope for the best and use the EURJPY's drawdown to 120.65 for long-term buying?
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/yen-places-its-opponent-in-check-analysis-as-of-04112020/?uid=285861726&cid=62423
submitted by Maxvelgus to Finance_analytics [link] [comments]

No, the British did not steal $45 trillion from India

This is an updated copy of the version on BadHistory. I plan to update it in accordance with the feedback I got.
I'd like to thank two people who will remain anonymous for helping me greatly with this post (you know who you are)
Three years ago a festschrift for Binay Bhushan Chaudhuri was published by Shubhra Chakrabarti, a history teacher at the University of Delhi and Utsa Patnaik, a Marxist economist who taught at JNU until 2010.
One of the essays in the festschirt by Utsa Patnaik was an attempt to quantify the "drain" undergone by India during British Rule. Her conclusion? Britain robbed India of $45 trillion (or £9.2 trillion) during their 200 or so years of rule. This figure was immensely popular, and got republished in several major news outlets (here, here, here, here (they get the number wrong) and more recently here), got a mention from the Minister of External Affairs & returns 29,100 results on Google. There's also plenty of references to it here on Reddit.
Patnaik is not the first to calculate such a figure. Angus Maddison thought it was £100 million, Simon Digby said £1 billion, Javier Estaban said £40 million see Roy (2019). The huge range of figures should set off some alarm bells.
So how did Patnaik calculate this (shockingly large) figure? Well, even though I don't have access to the festschrift, she conveniently has written an article detailing her methodology here. Let's have a look.
How exactly did the British manage to diddle us and drain our wealth’ ? was the question that Basudev Chatterjee (later editor of a volume in the Towards Freedom project) had posed to me 50 years ago when we were fellow-students abroad.
This is begging the question.
After decades of research I find that using India’s commodity export surplus as the measure and applying an interest rate of 5%, the total drain from 1765 to 1938, compounded up to 2016, comes to £9.2 trillion; since $4.86 exchanged for £1 those days, this sum equals about $45 trillion.
This is completely meaningless. To understand why it's meaningless consider India's annual coconut exports. These are almost certainly a surplus but the surplus in trade is countered by the other country buying the product (indeed, by definition, trade surpluses contribute to the GDP of a nation which hardly plays into intuitive conceptualisations of drain).
Furthermore, Dewey (2019) critiques the 5% interest rate.
She [Patnaik] consistently adopts statistical assumptions (such as compound interest at a rate of 5% per annum over centuries) that exaggerate the magnitude of the drain
Moving on:
The exact mechanism of drain, or transfers from India to Britain was quite simple.
Convenient.
Drain theory possessed the political merit of being easily grasped by a nation of peasants. [...] No other idea could arouse people than the thought that they were being taxed so that others in far off lands might live in comfort. [...] It was, therefore, inevitable that the drain theory became the main staple of nationalist political agitation during the Gandhian era.
- Chandra et al. (1989)
The key factor was Britain’s control over our taxation revenues combined with control over India’s financial gold and forex earnings from its booming commodity export surplus with the world. Simply put, Britain used locally raised rupee tax revenues to pay for its net import of goods, a highly abnormal use of budgetary funds not seen in any sovereign country.
The issue with figures like these is they all make certain methodological assumptions that are impossible to prove. From Roy in Frankema et al. (2019):
the "drain theory" of Indian poverty cannot be tested with evidence, for several reasons. First, it rests on the counterfactual that any money saved on account of factor payments abroad would translate into domestic investment, which can never be proved. Second, it rests on "the primitive notion that all payments to foreigners are "drain"", that is, on the assumption that these payments did not contribute to domestic national income to the equivalent extent (Kumar 1985, 384; see also Chaudhuri 1968). Again, this cannot be tested. [...] Fourth, while British officers serving India did receive salaries that were many times that of the average income in India, a paper using cross-country data shows that colonies with better paid officers were governed better (Jones 2013).
Indeed, drain theory rests on some very weak foundations. This, in of itself, should be enough to dismiss any of the other figures that get thrown out. Nonetheless, I felt it would be a useful exercise to continue exploring Patnaik's take on drain theory.
The East India Company from 1765 onwards allocated every year up to one-third of Indian budgetary revenues net of collection costs, to buy a large volume of goods for direct import into Britain, far in excess of that country’s own needs.
So what's going on here? Well Roy (2019) explains it better:
Colonial India ran an export surplus, which, together with foreign investment, was used to pay for services purchased from Britain. These payments included interest on public debt, salaries, and pensions paid to government offcers who had come from Britain, salaries of managers and engineers, guaranteed profts paid to railway companies, and repatriated business profts. How do we know that any of these payments involved paying too much? The answer is we do not.
So what was really happening is the government was paying its workers for services (as well as guaranteeing profits - to promote investment - something the GoI does today Dalal (2019), and promoting business in India), and those workers were remitting some of that money to Britain. This is hardly a drain (unless, of course, Indian diaspora around the world today are "draining" it). In some cases, the remittances would take the form of goods (as described) see Chaudhuri (1983):
It is obvious that these debit items were financed through the export surplus on merchandise account, and later, when railway construction started on a large scale in India, through capital import. Until 1833 the East India Company followed a cumbersome method in remitting the annual home charges. This was to purchase export commodities in India out of revenue, which were then shipped to London and the proceeds from their sale handed over to the home treasury.
While Roy's earlier point argues better paid officers governed better, it is honestly impossible to say what part of the repatriated export surplus was a drain, and what was not. However calling all of it a drain is definitely misguided.
It's worth noting that Patnaik seems to make no attempt to quantify the benefits of the Raj either, Dewey (2019)'s 2nd criticism:
she [Patnaik] consistently ignores research that would tend to cut the economic impact of the drain down to size, such as the work on the sources of investment during the industrial revolution (which shows that industrialisation was financed by the ploughed-back profits of industrialists) or the costs of empire school (which stresses the high price of imperial defence)

Since tropical goods were highly prized in other cold temperate countries which could never produce them, in effect these free goods represented international purchasing power for Britain which kept a part for its own use and re-exported the balance to other countries in Europe and North America against import of food grains, iron and other goods in which it was deficient.
Re-exports necessarily adds value to goods when the goods are processed and when the goods are transported. The country with the largest navy at the time would presumably be in very good stead to do the latter.
The British historians Phyllis Deane and WA Cole presented an incorrect estimate of Britain’s 18th-19th century trade volume, by leaving out re-exports completely. I found that by 1800 Britain’s total trade was 62% higher than their estimate, on applying the correct definition of trade including re-exports, that is used by the United Nations and by all other international organisations.
While interesting, and certainly expected for such an old book, re-exporting necessarily adds value to goods.
When the Crown took over from the Company, from 1861 a clever system was developed under which all of India’s financial gold and forex earnings from its fast-rising commodity export surplus with the world, was intercepted and appropriated by Britain. As before up to a third of India’s rising budgetary revenues was not spent domestically but was set aside as ‘expenditure abroad’.
So, what does this mean? Britain appropriated all of India's earnings, and then spent a third of it aboard? Not exactly. She is describing home charges see Roy (2019) again:
Some of the expenditures on defense and administration were made in sterling and went out of the country. This payment by the government was known as the Home Charges. For example, interest payment on loans raised to finance construction of railways and irrigation works, pensions paid to retired officers, and purchase of stores, were payments in sterling. [...] almost all money that the government paid abroad corresponded to the purchase of a service from abroad. [...] The balance of payments system that emerged after 1800 was based on standard business principles. India bought something and paid for it. State revenues were used to pay for wages of people hired abroad, pay for interest on loans raised abroad, and repatriation of profits on foreign investments coming into India. These were legitimate market transactions.
Indeed, if paying for what you buy is drain, then several billions of us are drained every day.
The Secretary of State for India in Council, based in London, invited foreign importers to deposit with him the payment (in gold, sterling and their own currencies) for their net imports from India, and these gold and forex payments disappeared into the yawning maw of the SoS’s account in the Bank of England.
It should be noted that India having two heads was beneficial, and encouraged investment per Roy (2019):
The fact that the India Office in London managed a part of the monetary system made India creditworthy, stabilized its currency, and encouraged foreign savers to put money into railways and private enterprise in India. Current research on the history of public debt shows that stable and large colonies found it easier to borrow abroad than independent economies because the investors trusted the guarantee of the colonist powers.

Against India’s net foreign earnings he issued bills, termed Council bills (CBs), to an equivalent rupee value. The rate (between gold-linked sterling and silver rupee) at which the bills were issued, was carefully adjusted to the last farthing, so that foreigners would never find it more profitable to ship financial gold as payment directly to Indians, compared to using the CB route. Foreign importers then sent the CBs by post or by telegraph to the export houses in India, that via the exchange banks were paid out of the budgeted provision of sums under ‘expenditure abroad’, and the exporters in turn paid the producers (peasants and artisans) from whom they sourced the goods.
Sunderland (2013) argues CBs had two main roles (and neither were part of a grand plot to keep gold out of India):
Council bills had two roles. They firstly promoted trade by handing the IO some control of the rate of exchange and allowing the exchange banks to remit funds to India and to hedge currency transaction risks. They also enabled the Indian government to transfer cash to England for the payment of its UK commitments.

The United Nations (1962) historical data for 1900 to 1960, show that for three decades up to 1928 (and very likely earlier too) India posted the second highest merchandise export surplus in the world, with USA in the first position. Not only were Indians deprived of every bit of the enormous international purchasing power they had earned over 175 years, even its rupee equivalent was not issued to them since not even the colonial government was credited with any part of India’s net gold and forex earnings against which it could issue rupees. The sleight-of-hand employed, namely ‘paying’ producers out of their own taxes, made India’s export surplus unrequited and constituted a tax-financed drain to the metropolis, as had been correctly pointed out by those highly insightful classical writers, Dadabhai Naoroji and RCDutt.
It doesn't appear that others appreciate their insight Roy (2019):
K. N. Chaudhuri rightly calls such practice ‘confused’ economics ‘coloured by political feelings’.

Surplus budgets to effect such heavy tax-financed transfers had a severe employment–reducing and income-deflating effect: mass consumption was squeezed in order to release export goods. Per capita annual foodgrains absorption in British India declined from 210 kg. during the period 1904-09, to 157 kg. during 1937-41, and to only 137 kg by 1946.
Dewey (1978) points out reliability issues with Indian agriculutural statistics, however this calorie decline persists to this day. Some of it is attributed to less food being consumed at home Smith (2015), a lower infectious disease burden Duh & Spears (2016) and diversified diets Vankatesh et al. (2016).
If even a part of its enormous foreign earnings had been credited to it and not entirely siphoned off, India could have imported modern technology to build up an industrial structure as Japan was doing.
This is, unfortunately, impossible to prove. Had the British not arrived in India, there is no clear indication that India would've united (this is arguably more plausible than the given counterfactual1). Had the British not arrived in India, there is no clear indication India would not have been nuked in WW2, much like Japan. Had the British not arrived in India, there is no clear indication India would not have been invaded by lizard people, much like Japan. The list continues eternally.
Nevertheless, I will charitably examine the given counterfactual anyway. Did pre-colonial India have industrial potential? The answer is a resounding no.
From Gupta (1980):
This article starts from the premise that while economic categories - the extent of commodity production, wage labour, monetarisation of the economy, etc - should be the basis for any analysis of the production relations of pre-British India, it is the nature of class struggles arising out of particular class alignments that finally gives the decisive twist to social change. Arguing on this premise, and analysing the available evidence, this article concludes that there was little potential for industrial revolution before the British arrived in India because, whatever might have been the character of economic categories of that period, the class relations had not sufficiently matured to develop productive forces and the required class struggle for a 'revolution' to take place.
A view echoed in Raychaudhuri (1983):
Yet all of this did not amount to an economic situation comparable to that of western Europe on the eve of the industrial revolution. Her technology - in agriculture as well as manufacturers - had by and large been stagnant for centuries. [...] The weakness of the Indian economy in the mid-eighteenth century, as compared to pre-industrial Europe was not simply a matter of technology and commercial and industrial organization. No scientific or geographical revolution formed part of the eighteenth-century Indian's historical experience. [...] Spontaneous movement towards industrialisation is unlikely in such a situation.
So now we've established India did not have industrial potential, was India similar to Japan just before the Meiji era? The answer, yet again, unsurprisingly, is no. Japan's economic situation was not comparable to India's, which allowed for Japan to finance its revolution. From Yasuba (1986):
All in all, the Japanese standard of living may not have been much below the English standard of living before industrialization, and both of them may have been considerably higher than the Indian standard of living. We can no longer say that Japan started from a pathetically low economic level and achieved a rapid or even "miraculous" economic growth. Japan's per capita income was almost as high as in Western Europe before industrialization, and it was possible for Japan to produce surplus in the Meiji Period to finance private and public capital formation.
The circumstances that led to Meiji Japan were extremely unique. See Tomlinson (1985):
Most modern comparisons between India and Japan, written by either Indianists or Japanese specialists, stress instead that industrial growth in Meiji Japan was the product of unique features that were not reproducible elsewhere. [...] it is undoubtably true that Japan's progress to industrialization has been unique and unrepeatable
So there you have it. Unsubstantiated statistical assumptions, calling any number you can a drain & assuming a counterfactual for no good reason gets you this $45 trillion number. Hopefully that's enough to bury it in the ground.
1. Several authors have affirmed that Indian identity is a colonial artefact. For example see Rajan 1969:
Perhaps the single greatest and most enduring impact of British rule over India is that it created an Indian nation, in the modern political sense. After centuries of rule by different dynasties overparts of the Indian sub-continent, and after about 100 years of British rule, Indians ceased to be merely Bengalis, Maharashtrians,or Tamils, linguistically and culturally.
or see Bryant 2000:
But then, it would be anachronistic to condemn eighteenth-century Indians, who served the British, as collaborators, when the notion of 'democratic' nationalism or of an Indian 'nation' did not then exist. [...] Indians who fought for them, differed from the Europeans in having a primary attachment to a non-belligerent religion, family and local chief, which was stronger than any identity they might have with a more remote prince or 'nation'.

Bibliography

Chakrabarti, Shubra & Patnaik, Utsa (2018). Agrarian and other histories: Essays for Binay Bhushan Chaudhuri. Colombia University Press
Hickel, Jason (2018). How the British stole $45 trillion from India. The Guardian
Bhuyan, Aroonim & Sharma, Krishan (2019). The Great Loot: How the British stole $45 trillion from India. Indiapost
Monbiot, George (2020). English Landowners have stolen our rights. It is time to reclaim them. The Guardian
Tsjeng, Zing (2020). How Britain Stole $45 trillion from India with trains | Empires of Dirt. Vice
Chaudhury, Dipanjan (2019). British looted $45 trillion from India in today’s value: Jaishankar. The Economic Times
Roy, Tirthankar (2019). How British rule changed India's economy: The Paradox of the Raj. Palgrave Macmillan
Patnaik, Utsa (2018). How the British impoverished India. Hindustan Times
Tuovila, Alicia (2019). Expenditure method. Investopedia
Dewey, Clive (2019). Changing the guard: The dissolution of the nationalist–Marxist orthodoxy in the agrarian and agricultural history of India. The Indian Economic & Social History Review
Chandra, Bipan et al. (1989). India's Struggle for Independence, 1857-1947. Penguin Books
Frankema, Ewout & Booth, Anne (2019). Fiscal Capacity and the Colonial State in Asia and Africa, c. 1850-1960. Cambridge University Press
Dalal, Sucheta (2019). IL&FS Controversy: Centre is Paying Up on Sovereign Guarantees to ADB, KfW for Group's Loan. TheWire
Chaudhuri, K.N. (1983). X - Foreign Trade and Balance of Payments (1757–1947). Cambridge University Press
Sunderland, David (2013). Financing the Raj: The City of London and Colonial India, 1858-1940. Boydell Press
Dewey, Clive (1978). Patwari and Chaukidar: Subordinate officials and the reliability of India’s agricultural statistics. Athlone Press
Smith, Lisa (2015). The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth. Food Policy
Duh, Josephine & Spears, Dean (2016). Health and Hunger: Disease, Energy Needs, and the Indian Calorie Consumption Puzzle. The Economic Journal
Vankatesh, P. et al. (2016). Relationship between Food Production and Consumption Diversity in India – Empirical Evidences from Cross Section Analysis. Agricultural Economics Research Review
Gupta, Shaibal (1980). Potential of Industrial Revolution in Pre-British India. Economic and Political Weekly
Raychaudhuri, Tapan (1983). I - The mid-eighteenth-century background. Cambridge University Press
Yasuba, Yasukichi (1986). Standard of Living in Japan Before Industrialization: From what Level did Japan Begin? A Comment. The Journal of Economic History
Tomblinson, B.R. (1985). Writing History Sideways: Lessons for Indian Economic Historians from Meiji Japan. Cambridge University Press
Rajan, M.S. (1969). The Impact of British Rule in India. Journal of Contemporary History
Bryant, G.J. (2000). Indigenous Mercenaries in the Service of European Imperialists: The Case of the Sepoys in the Early British Indian Army, 1750-1800. War in History
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Aussie is a new victim of China. Forecast as of 13.10.2020

Aussie is a new victim of China. Forecast as of 13.10.2020

Monthly Australian dollar fundamental analysis

Sometimes, the Predator turns into the Prey, and the Prey, on the contrary, becomes the Predator. During the time of the US-China trade wars, the US looked as an aggressor attacking a victim, which was China. China couldn't adequately retaliate. US import tariffs pressed down China’s exports while selling off China’s Treasury stocks would hardly have been that effective. China was afraid of capital outflows, so it had to make concessions. Now, the victim has recovered and is looking for prey among weaker countries.
Financial Times, referring to the sources familiar with the matter, reports that Chinese power stations and steel mills have been verbally told to immediately stop using Australian coal. Coal is one of the primary components of Australia’s exports. China seems to be a vindictive country. It hasn’t forgiven Australia for the allegations to the COVID-19 laboratory origins, expressed a few months ago. The prey turned out into a predator. Will China continue retaliatory measures against Australia?
This time, Canberra has nothing to respond with. The share of Australia’s exports to China is about 40%, China’s exports to Australia are less than 2%. The trade war hasn’t yet started, but there is already the winner. The problems with the Australian coal exports and the yuan’s drop started an AUDUSD correction down. The AUD bulls used to seem invincible before. Australia’s economy was supported by several factors. The iron ore prices rose. China’s economy, being one of the key trade partners of Australia, was recovering rapidly.The AUDUSD rose by 31% from the low hit in March.

Dynamics of AUDUSD and iron ore prices


Source: Bloomberg
The AUD rise resulted from the rapidly growing US stock indexes and the global economic recovery in the third quarter. However, the AUDUSD rally will continue so fast in the next six-nine months. China’s PMI slows down, the US epidemiological situation is still difficult, the euro area faces the second wave of the COVID-19 pandemic. Furthermore, China attacks Australia, so it is natural that Aussie buyers are discouraged. The median gauge of Bloomberg’s experts for the AUD is $0.72, which corresponds to the current levels.
Nonetheless, there are always two currencies in a currency pair. According to Goldman Sachs, a ‘blue wave’ in the USA (Democrats take control of both the White House and the Congress after the election on November 3) and positive news about the coronavirus vaccines should send the USD down to the lows recorded in 2018. UBS and Invesco share a similar opinion. They recommend their clients to sell the dollar as Joe Biden’s rating grows. Hedge funds seem to follows such ideas.

Dynamics of USD and US dollar speculative positions


Source: Bloomberg
Monthly AUDUSD trading plan
I believe Beijing and Canberra will solve political problems, the yuan will resume its rally, and the Democrats will win in the elections. In this scenario, it is still relevant to buy the AUDUSD on the corrections down. The medium-term targets are at 0.745 and 0.762.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/aussie-is-a-new-victim-of-china-forecast-as-of-13102020/?uid=285861726&cid=62423
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Dollar is set back by euphoria. Forecast as of 09.11.2020

Dollar is set back by euphoria. Forecast as of 09.11.2020
Investors continue trading the idea of Joe Biden becoming the president. That is why the S&P 500 features the best weekly rise since April and pushes the EURUSD up. How long will it continue? Let us discuss the Forex outlook and make up a EURUSD trading plan.

Weekly US dollar fundamental analysis

Euphoria rules the market. Investors forgot about both COVID-19, the US fiscal stimulus's unsettled issue, and Donald Trump rejecting the voting results. Traders are satisfied with the less uncertainty around Joe Biden’s policy, hoping for lower volatility. Analysts suggest that the divided Congress won’t allow Biden to carry out radical reforms in tightening taxation and regulation of technology companies. As a result, the S&P 500 grew by 7.3% in the first week of November, and the USD dropped to the lowest level since early September.
How long will the euphoria last? History proves that starting from 2000, if the S&P 500 was growing on election day, it continued growing in November and December. The first years of presidential terms were also favorable for the US stock indexes. The S&P 500 grew by 18.6% on average. However, the stock indexes’ trends during the time of the divided Congress, which prevented the White House from carrying out radical reforms, were controversial. During 45 years, starting from 1928, when one party controlled the US government, the stock market rose at an average rate of 7.46% annually, up from 7.26% in 46 years when the power was divided.

Reaction of S&P 500 to the political situation in USA


Source: Wall Street Journal
In my opinion, the markets are going too fast. Investors want to join the stock market’s uptrend, forgetting about the negative. However, are some negative factors that should have their effect. First, political uncertainty continues. Donald Trump is challenging the election results. Because of the second round of voting in Georgia, we will know the partisan makeup of the U.S. Senate only on January 5. It creates obstacles to the agreement on the new fiscal stimulus. Until a fresh stimulus is provided, the US economy will be slowing down, which presses down both the global GDP and the risk appetite.
Second, the coronavirus vaccines haven’t yet been developed, and the COVID-19 pandemic continues in the USA and in the euro area. The numbers of new coronavirus cases, hospitalizations, and deaths are hitting all-time highs, so investors’ optimism is surprising. The epidemiological situation in Europe is deteriorating. France, Germany, and other countries are locked down. This fact suggests that the divergence in the economic growth and monetary policy is in favor of the EURUSD bears.
Finally, the U.S. dollar may not be falling amid the growth of the S&P 500. The negative correlation between stocks and the USD is the strongest at the time of uncertainty, also because of the US presidential election. Once uncertainty eases, the negative correlation should stop working.

Weekly EURUSD trading plan

Euphoria rules the market, but it can’t last for long. If the EURUSD bulls fail to hold the price above 1.188, the pair should roll down to 1.183 and 1.1785. Otherwise, if the resistance is held up, the euro could continue the rally up to $1.195-$1.196 and even $1.2. Next, large traders should take some profits and exit the longs.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/dollar-is-set-back-by-euphoria-forecast-as-of-09112020/?uid=285861726&cid=62423

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How To Make Money Trading Reddit

How To Make Money Trading Reddit

MAKE MONEY WITH TRADING (Forex, Stocks, Binary Options)

https://preview.redd.it/onvu1owbn2v51.jpg?width=640&format=pjpg&auto=webp&s=63508b4c3653556bc53e4ef2df86a29df5e5dd0b
Trading consists of buying and selling assets, such as stocks, futures, currencies or derivatives, in a financial market. To trade, so that we obtain benefits, we will have to speculate with the movements in the price of the assets. This is the first step to making money from trading.
The word trading is usually associated with short-term investments, that is, short operations that seek benefits limited to a small time frame.
In other words, trading and investing are the same, only the time frame changes.
So if you hear terms like "stock trading" or "stock trading" it is the same thing, only they usually refer to different time frames.
The person who invests or trades is called a trader. A trader then is someone who invests in the financial markets.
Generally, the term trader is usually added to the asset that operates. For example, stock trader, futures trader, forex trader, in short, the asset that operates.
As you can see I am adding several concepts so that we all start from the same base.
So, trading is basically buying and selling assets, trying to buy at the lowest possible price and sell as high as possible. As simple as that.
I want you to understand something, the bases are 70% of your trading. It is amazing to see how advanced traders forget the basics before trading.
By advanced trader I mean someone who already knows how to trade but that doesn't necessarily make him a winning trader. In most cases they apply complicated strategies and forget something as simple as the bases.
How much can a trader earn? You put the roof on it, there is no limit. I recommend you measure your progress in percentages and not in nominals. It is best to verify your progress.
Is it necessary to be in a Trading Academy? Like everything, there are some who like to be social and others who prefer to work in a self-taught way. In trading, it is the same. If you need the constant support of people to not be demotivated, then a Trading Academy is a good option. Now, if you are an already motivated person who only needs to clear up doubts, then the best thing is a mentor, consulting professional, or a trading teacher who clears your doubts.
The foundations for making money trading have to be solid if we want to make profits consistently. So today I want to emphasize that, the foundations of being a successful trader. Let us begin!

How to Make Money Trading Reddit - Key Steps

https://preview.redd.it/la3o4919o2v51.jpg?width=640&format=pjpg&auto=webp&s=02e5635985796aa609c9ed4848285b4ce69f1196
1) Buy Supports (and resistances)
Buying in supports is buying in a key area where the price exerts a certain friction preventing the price from continuing to advance, for whatever reason.
A support is nothing more than an area where the asset finds the confidence of investors, it is the level where they estimate that it is a good purchase price for them, and that is why they buy the asset in question, in such a way that the asset finds help in that level.
Most trading systems, at least the ones I know of which are a few, are based on this principle but what happens, they camouflage it with flourishes.
Instead of saying, to the purchase in supports, they add colored mirrors so that it does not look so simple.
I'm not saying that details are not good, but exaggeration of details can lead to confusion and later paralysis.
Systems must necessarily be simple.
Buying in stands not only improves your overall entry, but it drastically lowers your risks. The further we move away from a support, the more the risk increases.
Many times we end up buying halfway because the price "escaped" us and we think that we will not have another equal opportunity. The reality is that the market always provides opportunities for those who know how to wait.
There is a saying that the beginning trader has fun in the market, the professional trader gets bored.
This does not mean that the professional trader does things reluctantly, or that he does not like to invest. It means that the professional trader waits crouched, calm, for that opportunity that he is looking for appears, that entry into support that reduces his risk. While the novice trader enters and exits the market euphoric.
A professional trader can be in front of the screen all day and not make a single trade. The novice trader, on the other hand, if he spends more than 5 minutes without trading, he already feels bad, anxious and thinks that he is losing opportunities.
Without further ado, enter supports.
2) Execute stop loss
Holding losses is the biggest mistake of traders. Who in the beginning has not moved the stop loss because the operation moved against him?
It's a very common mistake. We enter the market, we put the stop, the operation turns against us and instead of executing the stop, we RUN IT!
We are camicaces.
The typical phrase "I'm waiting to recover" has burned entire wallets.
The market fell 40% and instead of leaving, they began to pray.
The great advantage of small portfolios, that is, investors with little capital, is flexibility and speed of reaction.
By running the stop loss you are losing the only advantage you have with respect to professionals and large investors. Because they sure have more capital and have wider margins.
Please don't take losses, don't run the stop loss.
If you miss the stop, distance yourself from the market and analyze why that happened to you for the next better place your stop.
3) Sell in resistonce
I want you to remember something. Until you sell, the profits are not yours.
Until you sell, you have no money.
Until you sell, you cannot say that the operation was successful.
Many traders are very good at finding entries. They perfectly see the supports and manage to enter at the best prices. But what happens to them, they don't sell.
It hits a key resistance, where price clearly can't break through and what they do, they hold out in case it breaks.
The worst, the price does not break or make an upthrust (which would be a kind of professional feint), it returns to support, it bounces, it goes back to resistance and what we do ... we wait again to see if it breaks, because now it is the correct.
And there is a worse case. It reaches resistance and we want to apply the phrase "let the profits run", so what do we do, we adjust the stop loss near the resistance in case the price breaks and continues.
The price tests the resistance, falls, touches our stop and we run it in case the price returns to the path. Instead of applying the phrase “let the profits run” we apply the phrase “let the losses run”.
An old master used to say, when the price reaches resistance, I collect my winnings and go on vacation.
It seems silly but it is a way of telling our brain, if you do things well you have a prize.
Sell ​​in resistance, the market always gives new opportunities.
4) The Trend is your friend
No better elaborated phrase. The trend is your friend. And as we all know, almost no one pays attention to their friends. We ask them for advice and if they don't say what we want to hear, we won't.
If the price goes up, where do you have to invest?
"It is not that the price was stretched too much and surely now a correction is coming, so I invest against it."
You are seeing that the trend is upward in an annual, monthly, weekly, daily, hourly and minute time frame, but just in case you invest against it.
Please, the trend is your friend, if it tells you that the price is going up, it is because it is going up.
I invested in favor of the trend. You do not want to beat the market because I assure you that it breaks your arm in a blink of an eye.
5) Statistical advantage
In the financial markets there are no certainties, only probabilities and whoever tells you otherwise is surely not winning in silver.
What we are looking for are windows of statistical opportunities. In other words, we try to turn the odds in our favor.
That is why it is always important to ask yourself the question, what is more likely, that the price will go up or down?
This is because many times we operate and do not realize that the odds are against us.
We can never be 100% certain, but just putting the odds in our favor by making concrete decisions based on logic and not on emotions can earn us a lot of money.
6) Consistency
You often see many traders showing one or two of their most successful trades and the occasional loss. This is good for teaching purposes, and it is useful for transmitting teachings.
But if you want to become a professional trader you need consistency. And consistency does not speak of an isolated operation, it speaks of sustained profits over time.
And when I say time I speak of years. Not a month, not a week, not a semester. 3 years, 5 years, 10 years, 20 years.
To give you an idea, ultra-professional traders fight to see who is more consistent.
In other words, the first question they ask themselves is how many years have you been winning?
A trader who every year earns a tight, modest percentage, reasonable to say the least, but consistently, is a much better professional than one who doubles the capital one year and the other is -90.
Consistency is highly treasured as it allows for simulations, strategizing, and even projections.
7) Trading plan
The number of traders who invest without having a trading plan is impressive. Something so important, so simple to make, so useful and very few use it.
A trading plan allows you to analyze your operations, see what you are doing, and then improve.
When we don't have a trading plan, what we did last week goes completely unnoticed because we can't internalize the teaching.
And when I speak of teachings, they can be gains or losses.
A loss allows us to adjust the plan but a success also.
In fact, when we have several successful operations, there is nothing better than taking their teachings and replicating them.
The trading plan is the only tool that allows us to do this, learn, improve and be the most objective possible, leaving aside emotions.

Forex trading Reddit

https://preview.redd.it/ljyjklqgo2v51.jpg?width=640&format=pjpg&auto=webp&s=c50d6af6b81521fbbfe25938c98971e1592de261
When it comes to the currency market, one of the most popular trading markets is Forex. It represents the world's largest decentralized currency market. So we will answer how to make money from forex trading.
With only having a computer, tablet or mobile phone, and an excellent internet connection service, you will be able to operate from anywhere in the world in the Forex market. It has the great strength of being flexible and adaptable to all types of investors.
Select a prominent broker or intermediary agent, one that is recognized and very professional. Conduct negotiation trials with him, so that you get to know each other and do not put your capital at risk.
Develop together the work style that most identifies you and decide to earn money by trading, enriching yourself with all the possible knowledge and strategies.
Acquire strengths in detecting the ideal moment to carry out operations. You will achieve this by studying and understanding the graphs and trends of transactions, detecting that unique pattern that tells you when is the right time to proceed.
Do not hesitate, it is possible to earn a lot of money with trading! But, make sure, above all things, train yourself with a duly accredited professional, in guarantee of acquiring quality theoretical knowledge, imperative to understand the movement of the market.

How to Make Money Trading Reddit - Final Words

Trading is an “investment vehicle” that can serve your objectives of having financial peace of mind as long as it is part of a broad economic and financial planning in the short, medium and long term. If not, trading can become a fast track to lose your money, if you lack the necessary knowledge, experience and training. Follow the following formula to Make Money in Trading Consistently:

Profitability = (Knowledge + experience) x emotional and mental management

submitted by kayakero to makemoneyforexreddit [link] [comments]

Second wave hits euro. Analysis as of 19.10.2020

Second wave hits euro. Analysis as of 19.10.2020
However efficient the anti-Covid summer measures may be, the pandemic is returning to Europe, making the currency bloc’s countries impose new restrictions and compromising Q4 GDP growth. How will that affect the EURUSD? Let’s find it out and make a trading plan.

Weekly fundamental forecast for euro

Which is worse: to be always on a losing streak or to have glimpses of hope between losing streaks? EURUSD may help answer that question. The second wave of COVID-19 is spreading across Europe so fast that the eurozone’s double recession is being discussed in the market. Not only will that increase the risk of the EURUSD’s further correction, but it also suggests an eventual turn to downtrend. What’s more, neither China nor Brexit haven’t lived up to the euro fans’ expectations so far.
China’s GDP grew by 4.9% in quarter 3. That’s better than the Q2 value (+3.2%) and worse than the Bloomberg experts’ consensus forecast of 5.3%. Export-oriented China is in trouble as foreign demand is weak. It can’t assume responsibility for the global economy’s fate. Next, the risk of double recession is growing due to another round of restrictions in Germany, France, Spain, Italy amid the severe worsening of the epidemiological situation. That’s the main factor in EURUSD’s collapse.

China’s GDP dynamics


https://preview.redd.it/docyt2qop1u51.png?width=2778&format=png&auto=webp&s=0f5005608e89ff4d439609b0a020a7544cd9a5ef
Source: Bloomberg.

EURUSD rate and EU/US COVID cases


https://preview.redd.it/wmnp6obpp1u51.jpg?width=598&format=pjpg&auto=webp&s=b783d0349491d93c5907b5491b3cd61a4cf2d701
Source: Nordea Markets.
According to Societe Generale, any central bank that can soften monetary policy will do that, especially in the regions with high infection rates and restrictions on movement. Christine Lagarde says the second wave compromises the most the service sector, which accounts for 75% of the eurozone’s GDP. While Europe is facing the risk of QE expansion, the US forward markets presume that Joe Biden’s victory, fiscal stimulus extension, and inflation acceleration will make the Fed raise borrowing costs before 2024.
Thus, the divergence in economic growth and monetary policies starts showing favor to the USD, and that’s not the euro’s only problem. The market still believes that the Brexit issue will be solved at the last moment, just like it happened many times before. However, the clock is ticking, and they still can’t get the things rolling. They say more often that the pound can collapse 10% and draw the euro to the bottom in an unfavorable scenario.
Hopes for a bright future did good for the eurozone’s currency in summer, but they may eventually turn out to be harmful. Germany and the currency bloc plan to cut the budget deficit from 6.25% to 4.25% and from 8.9% to 6% of GDP in 2021. I hope the inopportune phaseout of monetary stimulus won’t stir up a debt crisis in Europe like in 2010-2012.

Weekly trading plan for EURUSD

Thus, EURUSD bulls have plenty of arguments to close long positions. A breakout of support at 1.169 may drop quotes to 1.162 and 1.159. Use a successful bearish storm for opening and building up short positions.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/second-wave-hits-euro-analysis-as-of-19102020/?uid=285861726&cid=62423
submitted by Maxvelgus to Finance_analytics [link] [comments]

I've been thinking a lot about my own trading and have come to some harsh conclusions. It's time we discuss some hard truths about technical analysis, mechanical trading, and psychology I think many of us don't want to accept.

I've had a rough week and it sounds like I'm not the only one. This week has wiped out my gains since July 1st, and I'm finding myself ever-so-slightly in the hole this month so far. I've made money every other month I've traded, so I'm not writing myself off as a failure, but nevertheless, I've done some digging to try and figure out what I'm struggling with. I hope the following observations about my own trading resonate with some of you and can help us all become better traders.
First off: Fundamental/technical analysis. Since I started with forex a few years ago, I've put 100% of my time and effort into studying technicals. I think many traders, myself included, are drawn to technical analysis because we fall into the trap of thinking "If I just figure out what combination of indicators/chart patterns/algorithms work for me, trading will be smooth sailing." Being able to take a formulaic approach is incredibly appealing because it's much easier to simply check off a list of criteria than it is to interpret more nuanced information. For me, I found success drawing supply and demand zones, using Bollinger Bands to visualize market structure, and confirming reversal patterns with stochastics to trade from one zone to the next. I even studied the math behind those indicators to make sure I fully understood how they worked so I could identify their limitations, and for the most part, the strategy made money. Nevertheless, if I had a dollar for every time I take what I think is a perfect setup, then the market takes me on a wacky-ass ride of unexpected "crazy bullshit" that stops me out, I wouldn't be trading for a living. After some introspection, my conclusion is that those moments are not "crazy bullshit", but rather are the results of factors that fall outside of the (actually very narrow) scope of technical analysis. This has been hard to accept, as I previously learned technical analysis was perfectly viable as a sole perspective. I was taught that the market can be predicted based on analyzing past behavior. It seems obvious now, but when I think about it, no combination of chart patterns or indicators can predict next week's unemployment figures, interest rates, or what announcements (or blunders) world leaders are going to make on the global stage. Technicals work, but they only work when the market is reacting to fundamental factors, and as soon as a new fundamental change comes along, every bit of technical analysis used until that point becomes obsolete. What I'm trying to say is, at the very least, I need to be able to understand when, why, and how the game is going to change if my technicals are going to serve me. As such, I need to stop shirking fundamental analysis. It's time I start paying attention to that economic calendar and put in the effort to learn what each event means and how to interpret the results to figure out how the market will react. It's simply not as easy as looking at the technicals. It should be obvious that there's no magic formula to trading, but many of us try hard to avoid coming to terms with the fact that there's a lot more to "analysis" than just price action, risk management, and indicators.
The problem is we as traders want trading to be easy. It's a career that society glorifies, and even if we tell ourselves we know it's not a get-rich-quick scheme, we still want to "figure it out" so we can spend a few hours a week scribbling on our charts and making simple black and white decisions while we kick back and "live comfortably". And so we try to trick ourselves into thinking it is easy by endlessly parroting mantras like "Risk management is all that matters" and "Trading is 100% psychology" and "All you need to do is find the strategy that works for you and stick to it." The first two are certainly pieces of the puzzle, but there's so much more to the big picture.
The last mantra isn't even remotely true, and brings me to my second point, which thankfully is something I figured out early in my career, but it's too related to the previous topic to not mention: Mechanical strategies. The sentiment that you need to clearly define a precise, detailed strategy and always stick to it is another lie to make trading seem simpler than it really is. Even when I was just starting to demo trade, I was finding trades that would tick all the boxes outlined by my strategy, but my gut would hesitate. Long after I identified that problem, I also began to notice that I'd be forcing myself to hold onto trades, even if they were not moving as fast or far as I initially thought they would. Once I decided to leave room for my own instinct and discretion, I became much more successful. It's important to understand your strategy is a set of rules you yourself made up. If your strategy does not line up with your own professional opinion of the situation based on your personal experiences and observations, you need to find out why. Yes, you absolutely should draw on your past experiences and be consistent in how you examine the market, how much you risk, and what tools you use, but give yourself enough credit to form your own opinions. The market is not consistent. Do not expect to succeed by applying one cookie-cutter set of rules to different currencies, at different times, during different events. Long-term success in any other line of work is dependent on critical thinking and the ability to adapt to an ever-changing world, and forex is no different. It's not simple, it's not easy, and you will have to make difficult decisions.
This wound up being longer than I anticipated, so thanks for reading. I'm eager to hear everyone's thoughts on these topics, so please share them.
submitted by TheFOREXplorer to Forex [link] [comments]

Trading economic news

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

How economic news is released

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

How the news affects forex markets

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

Backtesting

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

Make it real

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

Forecast for EUR/USD: whose grave is deeper?

Forecast for EUUSD: whose grave is deeper?

Fundamental forecast for dollar for today

Will euro continue to rally or will EUUSD consolidate?

The Fed was the main player to fight previous recessions, but now it plays a supporting role. Only the public health sector’s advancement will indicate an economic recovery. No easy money will protect people from COVID-19. At the latest FOMC’s meeting Jerome Powell said that “social distancing measures and a fast reopening of the economy actually go together. They’re not in competition with each other.” The Fed didn’t ask for a new lockdown but admitted that leading indicators started blinking red amid the worsening epidemiological situation. That’s good news for US stocks but bad news for the US dollar.

US GDP dynamics


Source: Bloomberg.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/forecast-for-eurusd-whose-grave-is-deepe ?uid=285861726&cid=79634
submitted by Maxvelgus to Finance_analytics [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

Immediate Aftermath : The more data we collect and analyze, the clearer the picture becomes.

This is the updated first part of the list that has recorded the notable events as the world deals with the COVID-19 pandemic. [2nd Part] ― The LINKS to events and sources are placed throughout the timeline.
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The More Data We Collect and Analyze, the Clearer the Picture Becomes.
Someone threw a stone in a pond a long way away. And we're only just feeling the ripples. — Fukuhara from Giri/Haji, Netflix series
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On Jan 30, Italian PM announced that Italy had blocked all flights to and from China. While Italy has banned people from air-travelling to China, however according to IATA data, there's no measurement implemented for air-travellers from China into Italy till the Mar 07. Especially for Chinese people who have EU passports.
On Jan 31, the US announced the category-I travel restrictions, barring all foreigners who have been in China for the past 14 days, with measures including the refusal of visas and mandatory quarantine.
• "Because the US focused on China and didn't expect the infected people's entry from Europe and the Middle East, the Maginot Line was breached from behind. And so little of credible data at the beginning made the US government to miscalculate its strategic response to the virus." — Dr. Zhang Lun, currently a visiting scholar at Harvard (economics & sociology), during the interview with ICPC on Mar 29.
Also on Jan 31, the WHO changed its tune and declared the coronavirus outbreak a Global Public Health Emergency of international concern (PHEIC).
Decisions on a PHEIC always involve politics .... West African countries discouraged a declaration in 2014 after they were hit by the largest Ebola virus outbreak on record, mainly because of concern about the economic impact.
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On Feb 02, regarding the US category-I travel restrictions, Kamala Harris, the former Democratic presidential candidate, declared on Twitter:
Since 2017, Trump’s travel bans have never been rooted in national security—they’re about discriminating against people of color. They are, without a doubt, rooted in anti-immigrant, white supremacist ideologies. This travel ban is no different.
On Feb 03, criticizing Trump for his travel restrictions continues. Chinese foreign ministry spokeswoman Hua Chunying (华春莹), a Peking University professors James Liang (梁建章), New York Times, the Nation, OBSERVER, the Boston Globe, Yahoo, and Daily Kos were saying,
it's a "panicky" decision and "racist" or it's "cruel and callous," he's stoking fear for political gains, and the president is "inappropriately overreacting." And professors Liang even said the US ban "will hurt goodwill and cooperation [with China] in the future." [1] [2] [3] [4] [5] [6] [7] [8] [9]
Also on Feb 03, Mr. Tedros of the WHO said there's no need for travel ban measure that "unnecessarily interfere with international travel and trade" trying to halt the spread of the virus.
China's delegate took the floor ... and denounced measures by "some countries" that have denied entry to people holding passports issued in Hubei province - at the centre of the outbreak - and to deny visas and cancel flights.
Also on Feb 03, China is expected to gradually implement a larger stimulus packages (in total) than a USD $572 billion from 2008. — We'd never find out but my guess is that the fund will probably go to Shanghai clique.
On Feb 04, The FDA has given emergency authorization to a new test kit by the CDC that promises to help public health labs meet a potential surge in cases.
The speed ... pushing through a new diagnostic test shows just how seriously they’re taking the potentially pandemic threat of 2019-nCoV. It’s also a sign that the world is starting to learn how to deal with an onslaught of new pathogens.
Also on Feb 04, the Wuhan Institute of Virology and China's Academy of Military Medical Sciences (AMMS, Chief Chen Wei belongs to) have jointly applied to patent the use of Remdesivir. Scientists from both institutes said in a paper published in Nature’s Cell Research that they found both Remdesivir and Chloroquine to be an effective way to inhibit the coronavirus.
On Feb 06, Jamestown Foundation, a Washington-based research & analysis unit, noted that with State Council of PRC praising his performance of containing the pandemic situation, the council expanded Li Keqiang's political control over Politburo Standing Committee of CCP. (Li Keqiang = Communist Youth League = Shanghai clique)
Also, on Feb 06, as the US evacuation planes leave China, the wave of the US evacuees have arrived who are met by the CDC personnel at the quarantine sites for screening, and those who were suspected of infection will be placed under quarantine for 14 days.
Also, on Feb 06, a CDC-developed lab test kit to detect the new coronavirus began shipping to qualified US laboratories and international ones. — However, on Feb 12, the CDC said some of the testing kits have flaws and do not work properly. The CDC finally ended up shipping the working test kits for mass testings on Feb 27. This was three weeks later than originally planned.
On Feb 07, China National Petroleum has recently declared Force Majeure on gas imports. They are trying to create a breathing room for their foreign exchange reserves shortage. China's foreign exchange reserves fell to mere USD $3.1 trillion in Oct. 2019.
On the same day, Bloomberg reported that PetroChina has directed employees in 20 countries to buy N95 face masks and send them home in China. The goal is to get 2 million masks shipped back. You can also find YouTube videos that show Overseas Chinese are scouring the masks at the Home Depot to ship them to China (the video in Korean). Also Chris Smith is pissed.
On Feb 09, Trump renews his national emergency on its southern border, and Elizabeth Goitein from the Brennan Center for Justice, published an opinion article on New York Times titled "Trump Has Abused This Power. And He Will Again if He’s Not Stopped."
On Feb 10, Dr. Tedros said that an advance three-person team of the WHO arrived in Beijing for a joint mission to discuss with Chinese officials the agenda and questions. Then, the joint mission of about 10 international experts will soon follow, he said. — Those WHO experts ended up visiting Chinese epicentre for the first time on Feb 24.
On Feb 12, the US targets Russian oil company for helping Venezuela skirt sanctions. The US admin seemingly tried to secure leverage against Russia after noticing something suspicious was up.
On the same day, Trump told Reuters "I hope this outbreak or this event (for the US) may be over in something like April." — Dr. Zhong Nanshan (钟南山), China's top tier SARS-hero doctor, also said "the peak of the virus (for China) should come in mid to late February, followed by a plateau or decrease," adding that his forecast was based on on mathematical modelling and data from recent events and government action.
On Feb 13, Tom Frieden who is a former US CDC chief and currently the head of public health nonprofit Resolve to Save Lives, said:
As countries are trying to develop their own control strategies, they are looking for evidence of whether the situation in China is getting worse or better. [But] We still don't have very basic information. [since the WHO just entered China] We hope that information will be coming out.
On the same day, the CDC reports that the 15th case in the US was confirmed. The patient was a part of group who were under a federal quarantine order at the JBSA-Lackland base because of a recent trip to Hubei Province, China.
By Feb 13, China hasn't accepted the US CDC's offer to send top experts, and they haven't released the "disaggregated" data (specific figures broken out from the overall numbers) even though repeatedly been asked.
On Feb 14, CCP's United Front posted an article on its official website, saying (Eng. text by Google Translation):
Fast! There is no time difference to raise urgently needed materials! Some Overseas Chinese have used their professions in the field of medicine in order to purchase relevant materials Hubei province in short of supply (to send them to China). .... Some Overseas Chinese took advantage of the connection resources, opened green transportation channels through our embassies and consulates abroad, and their related enterprises, and quickly sent large quantities of medical supplies (to China), making this love relay link and cooperation seamless.
On Feb 18, Reuters reports that 3M is on the list of firms eligible for China loans to ease coronavirus crisis.
There is no indication from the list that loans offered will necessarily be sought, or that such firms are in any financial need. The Bank of Shanghai told Reuters it will lend 5.5 billion yuan ($786 million) to 57 firms on its list.
On Feb 21, Xi Jinping writes a thank-you letter to Bill Gates for his foundation’s support to China regarding COVID-19 outbreak.
On Feb 24, China was rumoured on Twitter to delay the phase one trade deal implementation indefinitely which includes the increase of China's purchasing American products & services by at least $200 billion over the next two years.
Also on Feb 24, S&P 500 Index started to drop. Opened with 3225.9 and closed 3128.2. By the Mar 23, it dropped to 2208.9.
Also on Feb 24, China's National Health Commission says the WHO experts have visited Wuhan city for the first time, the locked-down central Chinese city at the epicentre, inspecting two hospitals and a makeshift one at a sports centre.
On Feb 26, IF the picture that has been circulated on Twitter were real, then chief Chen Wei and her team have developed the first batch of COVID-19 vaccine within time frame of a month.
On the same day, the CDC's latest figures displays 59 people in the US who have tested positive for COVID-19.
Also on Feb 26, the Washington Post published an article that says:
.... the WHO said it has repeatedly asked Chinese officials for "disaggregated" data — meaning specific figures broken out from the overall numbers — that could shed light on hospital transmission and help assess the level of risk front-line workers face. "We received disaggregated information at intervals, though not details about health care workers," said Tarik Jasarevic of the WHO. — The comment, in an email on Feb 22 to the Post, was one of the first instances that the WHO had directly addressed shortcomings in China's reporting or handling of the coronavirus crisis.
On Feb 27, after missteps, the CDC says its test kit is ready and the US started to expand testing.
On Feb 28, China transferred more than 80,000 Uighurs to factories used by global brands such as Apple, Nike, & Volkswagen & among others.
Also on Feb 28, the WHO published the official report of the WHO-China joint mission on coronavirus disease 2019. (PDF)
On Feb 29, quoting Caixin media's investigation published on the same day, Lianhe Zaobao, the largest Singapore-based Chinese-language newspaper, published an article reporting the following:
Dr. Li Wenliang said in the interview with Caixin media; [in Dec 2019] another doctor (later turned out to be Dr. Ai Fen) examined and tried to treat a patient who exhibited SARS-like symptoms which akin to influenza resistant to conventional treatment methods. And "the family members who took care of her (the patient) that night also had a fever, and her other daughter also had a fever. This is obviously from person to person" Dr. Li said in the interview."
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On Mar 01, China's State Council super tighten up their already draconian internet law.
On the same day, Princelings published an propaganda called "A Battle Against Epidemic: China Combating COVID-19 in 2020" which compiles numerous state media accounts on the heroic leadership of Xi Jinping, the vital role of the Communist Party, and the superiority of the Chinese system in fighting the virus.
Starting on Mar 03, the US Fed has taken two significant measures to provide monetary stimulus. It's going to be no use as if a group of people with serious means are manipulating the markets to make sure MM will have liquidity concerns when they need it most.
On Mar 04, Xinhua News, China's official state-run press agency posted an article "Be bold: the world should thank China" which states that
If China retaliates against the US at this time, it will also announce strategic control over medical products, and ban exports of said products to the US. ... If China declares today that its drugs are for domestic use only, the US will fall into the hell of new coronavirus epidemic.
On Mar 05, Shanghai Index has recovered the coronavirus loss almost completely.
On Mar 07, Saudi's Ahmed bin Abdulaziz and Muhammad bin Nayef were arrested on the claims of plotting to overthrow King Salman. — Ahmed bin Abdulaziz is known to have very tight investment-interest relationship with Bill Gates, Bill Browder, Blackstone, & BlackRock: One common factor that connects these people is China.
On Mar 08, the Russia–Saudi oil price war has begun. The ostensible reason was simple: China, the biggest importer of oil from Saudi and Russia, was turning back tankers while claiming that the outbreak forced its economy to a standstill.
On Mar 10, the Washington Post published the article saying that the trade group for manufacturers of personal protective equipment urged in 2009 "immediate action" to restock the national stockpile including N95 masks, but it hasn't been replenished since.
On Mar 11, the gentleman at the WHO declares the coronavirus outbreak a "Global Pandemic." He called on governments to change the course of the outbreak by taking "urgent and aggressive action." This was a full twelve days after the organization published the official report regarding the situation in China.
On Mar 13, the US admin declared a National Emergency and announced the plan to release $50 billion in federal resources amid COVID-19.
Also on Mar 13, China's Ministry of Commerce states that China is now the best region for global investment hedging.
On Mar 15, Business Insider reports that Trump tried to poach German scientists working on a coronavirus vaccine and offered cash so it would be exclusive to the US. The problem is the official CureVac (the German company) twitter account, on Mar 16, 2020, tweeted the following:
To make it clear again on coronavirus: CureVac has not received from the US government or related entities an offer before, during and since the Task Force meeting in the White House on March 2. CureVac rejects all allegations from press.
On Mar 16, the fan club of European globalists has published a piece titled, "China and Coronavirus: From Home-Made Disaster to Global Mega-Opportunity." The piece says:
The Chinese method is the only method that has proved successful [in fighting the virus], is a message spread online in China by influencers, including many essentially promoting propaganda. ... it is certainly a message that seems to be resonating with opinion leaders around the world.
On the same day, unlike China that had one epicentre, Wuhan city, the US now overtakes China with most cases reporting multiple epicentres simultaneously.
Also on Mar 16, the US stocks ended sharply lower with the Dow posting its worst point drop in history. But some showed a faint hint of uncertain hope.
On Mar 17, according to an article on Chinese version of Quora, Zhihu, chief Chen Wei and her team with CanSino Biologics officially initiated a Phase-1 clinical trial for COVID-19 vaccine at the Wuhan lab, Hubei China, which Bloomberg News confirmed. — Click HERE, then set its time period as 1 year, and see when the graph has started to move up.
Also on Mar 17, China's state media, China Global TV Network (CGTN), has produced YouTube videos for Middle Eastern audiences to spread the opinion that the US has engineered COVID-19 events.
Also on Mar 17, Al Jazeera reported that the US President has been criticized for repeatedly referring to the coronavirus as the "Chinese Virus" as critics saying Trump is "fueling bigotry."
• China's Xinhua News tweeted "Racism is not the right tool to cover your own incompetence."
• Tucker Carlson asked: "Why would America's media take China's side amid coronavirus pandemic?"
• Also, Mr. Bill Gates: "We should not call this the Chinese virus."
On Mar 19, for the first time, China reports zero local infections.
Also on Mar 19, Al Jazeera published an analysis report, titled "Coronavirus erodes Trump's re-election prospects."
On Mar 22, Bloomberg reports that China's mobile carriers lost 21 million users during this pandemic event. It's said to be the first net decline since starting to report monthly data in 2000.
On Mar 26, EURACTV reports that China cashes in off coronavirus, selling Spain $466 million in supplies. However, Spain returns 9,000 "quick result" test kits to China, because they were deemed substandard. — Especially the sensibility of the test was around 30 percent, when it should be higher than 80 percent.
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On Apr 03, Germany and other governments are bolstering corporate defenses to address worries that coronavirus-weakened companies could be easy prey for bargain hunting by China's state owned businesses.
On Apr 05, New York Times says "Trump Again Promotes Use of Unproven Anti-Malaria Drug (hydroxychloroquine)."
On Apr 06, a Democratic State Rep. Karen Whitsett from Detroit credits hydroxychloroquine and President Trump for "saving her in her battle with the coronavirus."
On Apr 07, the US CDC removed the following part from its website.
Although optimal dosing and duration of hydroxychloroquine for treatment of COVID-19 are unknown, some U.S. clinicians have reported anecdotally different hydroxychloroquine dosing such as: 400mg BID on day one, then daily for 5 days; 400 mg BID on day one, then 200mg BID for 4 days; 600 mg BID on day one, then 400mg daily on days 2-5.
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☞ If there were ever a time for people not to be partisan and tribal, the time has come: We need to be ever vigilant and attentive to all kinds of disinformation & misinformation to see it better as well as to be sharp in our lives. — We really do need to come together.
☞ At first, I was going to draw up a conspiracy theory-oriented list focused on Team-Z, especially Mr. Gates. However, although it's nothing new tbh, recently many chats and discussions seem overflowing with disinformation & misinformation which is, in my opinion, particularly painful at a time like this. Hence, this post became a vanilla list that's just recorded the notable events. — We all are subject to misinformation, miscalculation, and misjudgment. But the clearer the picture becomes the better we can identify Funkspiel.
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Immediate Aftermath pt.2.a
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Feasible Timeline of the Operation
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☞ Go Back to the Short Story.
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submitted by vanillabluesea to conspiracy [link] [comments]

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