TRADING ECONOMICS ANALYTICS

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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.

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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.

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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.

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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]

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]

Forex Trading Basics Reddit - Forex Glossary Terms For Beginners

Forex Trading Basics Reddit - Forex Glossary Terms For Beginners

What is Forex - Terminology

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The FOREX market is the largest financial market in the world. On a daily basis, trillions of dollars are traded in different currencies around the world.
Being FOREX the basis for international capital transactions, its liquidity and volume are much greater than any other financial market. It is estimated that the average volume traded by the world's largest stock exchange, the New York Stock Exchange (NYSE) in a full month, is equal to the volume traded daily in the Forex currency market. In addition, it is estimated that this volume will increase by 25% annually.
80% of transactions are between the US dollar (USD), the euro (EUR), the yen (JPY), the British pound (GBP), the Swiss franc (CHF), and the Australian dollars (AUD) and Canadian (CAD).

What is traded in the Forex market?

We could just say that money. Trading in FOREX simultaneously involves buying one currency (for example euros) and selling another (for example US dollars). These simultaneous purchase and sale operations are carried out through online brokers. Operations are specified in pairs; for example the euro and the dollar (EUR / USD) or the pound sterling and the Yen (GBP / JPY).
These types of transactions can be somewhat confusing at first since nothing is being purchased physically. Basically, each currency is tied to the economy of its respective country and its value is a direct reflection of people's perception of that economy. For example, if there is a perception that the economy in Japan is going to weaken, the Yen is likely to be devalued against other currencies. In other words, people are going to sell Yen and they are going to buy currencies from countries where the economy is or will be better than Japan.
In general, the exchange of one currency for another reflects the condition of the health of the economy of that country with respect to the health of the economy of other countries.
Unlike other financial markets such as the stock market, the currency market does not have a fixed location like the largest exchanges in the world. These types of markets are known as OTC (Over The Counter). Transactions take place independently around the world, mainly over the Internet, and prices can vary from place to place.
Due to its decentralized nature, the foreign exchange market is operated 24 hours a day from Monday to Friday.
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Forex Trading Basics - Basic Forex Terminology

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As with any new skill that is learned, it is also necessary to learn its terminology. There are certain terms that you must know before you start trading Forex. Here are the main ones.

• Major and minor currencies

The 8 most widely used currencies (USD, EUR, JPY, GBP, CHF, CAD, NZD, and AUD) are known as “ major currencies ”. All other currencies are called " minor currencies ." You don't need to worry about minor currencies, as you probably won't start trading them for now. The USD, EUR, JPY, GBP, and CHF currencies are the most popular and most liquid currencies on the market.

• Base currency

The base currency is the first currency in any currency pair. It shows how much the base currency is worth against the second currency. For example, if the USD / CHF has a rate of 1.6350, it means that 1 USD is worth 1.6350 CHF. In the forex market, the US dollar is in many cases the base currency to make quotes, the quotes are expressed in units of $ 1 on the other currency of the pair.
In some other pairs, the base currency is the British pound, the euro, the Australian dollar, or the New Zealand dollar.

• Quoted currency

The quote currency is the second currency in the currency pair. This is often referred to as a "pip-currency" and any unrealized gains or losses are expressed in this currency.

• Pip

A pip is the smallest unit of the price of any currency. Almost all currencies consist of 5 significant digits and most pairs have the decimal point immediately after the first digit. For example EUR / USD = 1.2538, in this case, a pip is the smallest change in the fourth decimal space, which is, 0.0001.
A notable exception is the USD / JPY pair where the pip equals $ 0.01.

• Purchase price (bid)

The buying price (bid) is the price at which the market is ready to buy a specific currency in the Forex market. At this price, one can sell the base currency. The purchase price is displayed on the left side.
For example, in GBP / USD = 1.88112 / 15, the selling price is 1.8812. This means that you can sell a GPB for $ 1.8812.

• Sale Price (ask)

The asking price is the price at which the market is ready to sell a specific currency pair in the Forex market. At this price, you can buy the base currency. The sale price is displayed on the right-hand side.
For example, at EUR / USD = 1.2812 / 15, the selling price here is 1.2815. This means that you can buy one euro for $ 1.2815. The selling price is also called the bid price.

• Spread

All Forex quotes include two prices, the bid (offer) and the ask (demand).
The bid is the price at which the broker is willing to buy the base currency in exchange for the quoted currency. This means that the bid is the price at which you can sell.
The ask is the price at which the broker is willing to sell the base currency in exchange for the quoted currency. This means that the ask is the price at which you will buy. The difference between the bid and the ask is popularly known as the spread and is the consideration that the online broker receives for its services.

• Transaction costs

The transaction cost, which could be said to be the same as the Spread, is calculated as: Transaction Cost = Ask - Bid. It is the number of pips that are paid when opening a position. The final amount also depends on the size of the operation.
It is important to note that depending on the broker and the volatility, the difference between the ask and the bid can increase, making it more expensive to open a trade. This generally happens when there is a lot of volatility and little liquidity, as happens during the announcement of some relevant economic data.

• Cross currency

A cross-currency is any pair where one of the currencies is the US dollar (USD). These pairs show an erratic price behavior when the operator opens two operations in US dollars. For example, opening a long trade to buy EUR / GPB is equivalent to buying EUR / USD and selling GPB / USD. Cross-currency pairs generally carry a higher transaction cost.

• Margin

When you open a new account margin with a Forex broker, you must deposit a minimum amount of money to your broker. This minimum varies depending on each broker and can be as low as € / $ 100 at higher amounts.
Each time a new trade is executed a percentage of your account margin balance will be the initial margin required for a new trade based on the underlying currency pair, current price, and the number of units (or lots) of the trade. .
For example, let's say you open a mini account which gives you a leverage of 1: 200 or a margin of 0.5%. Mini accounts work with mini lots. Suppose a mini lot equals $ 10,000. If you are about to open a mini lot, instead of having to invest $ 10,000, you will only need $ 50 ($ 10,000 x 0.5% = $ 50).

• Leverage

Leverage is the ratio of the capital used in a transaction to the required deposit. It is the ability to control large amounts of dollars with relatively less capital. Leverage varies drastically depending on the broker, it can go from 1: 2 to even 1: 2000. The most common level of leverage in Forex can currently be around 1: 200.

• Margin + leverage = dangerous combination

Trading currencies on margin allows you to increase your buying power. This means that if you have $ 5,000 in account margin that allows you a 1: 100 leverage, you can then buy $ 500,000 in foreign exchange as you only have to invest a percentage of the purchase price. Another way of saying this is that you have $ 500,000 in purchasing power.
With more purchasing power you can greatly increase your potential profits without an outlay of cash. But be careful, working with a high margin increases your profits but also your losses if the trade does not progress in your favor.
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submitted by kayakero to makemoneyforexreddit [link] [comments]

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

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This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

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Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

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An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

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These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

Four reasons for buying yen. Forecast for 16.09.20

Four reasons for buying yen. Forecast for 16.09.20
Ahead of the Fed’s and Bank of Japan’s meetings, the Japanese yen is certainly worth discussing. Enjoy your popcorn and remember to check out the trading signals and trading plan for USDJPY and EURJPY for the nearest weeks at the end of this article.

Fundamental forecast for yen for today

Yoshihide Suga’s unconditional victory in the party race to become Japan’s next Prime Minister, the US-China trade war’s revival and the upcoming presidential elections in the USA redrew investors’ attention to the yen. USDJPY’s quotes have been falling for three days in a row and got close to the level of 105. Rumour has it that the Bank of Japan may get angry and intervene if that level is broken. The situation around EURJPY is interesting too.
If Shinzo Abe’s dismissal shocked the financial markets, the information about Yoshihide Suga’s appointment calmed them down. Let me remind you that Yoshihide Suga is Abe’s supporter and one of the authors of the “three arrows” strategy. The new Prime Minister isn’t going to put pressure on the BoJ in order to change monetary policy. He believes that there’s no need to raise taxes in the next 10 years, and that economic growth must improve the country’s financial state. He plans to shake up some sectors and bureaucratic mechanisms, but at the beginning of his term, he’ll need to recover GDP.
A clear political context is a boon for a national currency. The fact that Japan chose its PM, while the US has yet to choose its president, is beneficial to USDJPY bears. Still, their main trump is the divergence in the Fed’s and BoJ’s policies: the Fed’s response to recession was so fierce that the fall of the real US bond yields weakened the greenback and would probably continue weakening it.

Dynamics of US bond yields


Source: Wall Street Journal.
The yen is growing on the WTO’s ruling that US tariffs on Chinese imports are illegal. Beijing approved of that. Washington got angry. I doubt that the conflict will escalate before the elections. However, it’s obvious that the trade war is a long-lasting subject no matter who takes the US president’s chair. In 2019, global investors thought it was the main factor in market pricing. In 2020, the trade war dropped to the 4th line: the pandemic, November’s US elections and payment default risks have become the number one priority topics.
I think the trade war subject has been undeservedly neglected. During a pandemic, imports and exports usually reduce proportionally, and the trade balance remains unchanged. It’s true of Canada, Japan, Britain and Germany. Alas, the US foreign trade deficit is growing and the Chinese one is reducing. China’s industrial sectors are recovering faster, and Beijing may face another round of clashes after the US election.

Industrial production dynamics


Source: Bloomberg.

Weekly trading plan for USDJPY and EURJPY

Trading wars were favourable to the yen in 2018-2019, but its fans have other advantages this time too. I don’t think the BoJ will interfere if USDJPY breaks support at 105. So, we can open short positions. Opening shorts in EURJPY at the breakout of 124.6-124.65 looks interesting too.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/four-reasons-for-buying-yen-forecast-as-of-160920/ ?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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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]

TSM and Me 2020

TSM has been on my radar since I started saving to invest in 2018 because of AMD / GlobalFoundries. Really interesting business model for Semis AMD has.
In 2019, you couldn't get away from heating up of the trade war. Congress began debating SAR for HK around the end of Hong Kong's "2019 Summer of Love" and rumors of what happens in the "re-education" camps / "Where did the Falun Gong practitioners go?" This is important because of the SWIFT system of world banking. HK is how they get dollars.
Then in November of 2019, this happened..
https://en.m.wikipedia.org/wiki/Hong_Kong_Human_Rights_and_Democracy_Act#Related_bill
Arizona plant news is where the tin foil ends and the conviction began for me. The Foundry is basically THE corporation of Taiwan. The Great Cheetoh has been making deals around the world, and technically Taiwan isn't China. We have recent armament deals with Taiwan and Japan to prove it.
https://youtu.be/TLKt9yPb-f0
Why not?? Seemed like the American thing to do and there is a republican in office hell-bent on decoupling US communications tech from the CCP aka ROC.
In Feb / March... Rona. April the economic fallout, news about bad PPE and tests from China being sold to Italy. In May all the US boats in Taiwanese waters and the rhetoric worldwide basically reflecting that the world isn't happy with the CCP.
I had the balance for a RH call and it made more sense than an airline play at the time, so i got in.
Anti CCP rhetoric started heating up and bi-partisan on the YouTube's, by the way, it seems 2020 is the year NBC (Comcast) discovered ad-revenue. Thank you Lester.
At this point morning wood for TSM was a regular thing, so i set my limits on call options for both accounts, and incorporated into the LT DRIP. Thank you Papa Powell. I'm still poor, couldn't have done it without you...
Then it seemed to be heating up at the end of May. Everyone is like WTF 'mate on the "One Belt. One Road." Initiative, both the geographical and digital. People are really starting to report on not-so-great stories out of China, and not just tinfoil or Epoch Times channels.
Lot of shade being thrown on China tech, and things are heating up in S China Sea.
https://youtu.be/6KiLhxgIBys
https://youtu.be/BTgDYhtr-LU
...looks like Chy-na is on everyone's shit list, including Australia. Forex folks know how dope-tied the Aussie's and Kiwis are to CCP trade relations.
The rumor was potential decouple from China. I mean the world is kinda dope-tied to Santa's little elves. I just realized how weird Christmas will be...
I bought my shares for both accounts as per the voodoo ritual of purchasing at least 1 stock of a long term call strategy. Got my hand deep (for me) in the cookie jar May and June.
http://imgur.com/gallery/xb7ptte
http://imgur.com/gallery/ToFdT3z
Third week of July called a bull flag on hourly:
https://www.reddit.com/wallstreetbets/comments/hwz949/daily_discussion_thread_for_july_24_2020/fz4bi1b?utm_medium=android_app&utm_source=share
July 24th, I got filled to the teeth in RH and my now free play in Webull was up 1,600%.
http://imgur.com/gallery/0fB3FEp
THEN July 27th, I closed my "free play" in Webull at $1,250. A little over 3,000% between 2 contracts that cost $75 total.
Along the way, i picked up RH tendies and rebalanced the cash / bought more contracts and shares. They're officially part of the DRIP.
http://imgur.com/gallery/UFKPnOz
Related post I made last week regarding TSM and INTC. Any thoughts on how US semi production will play out for them?
https://www.reddit.com/wallstreetbets/comments/i0jqtu/opinions_on_taiwan_semiconducto?utm_medium=android_app&utm_source=share
Last week, The Fool confirmed many of the LT bias I had been building up on a win for The Foundry since November. All hype, or real talk?
https://www.fool.com/investing/2020/07/31/3-tailwinds-are-lifting-tsmcs-stock-to-new-all-tim.aspx
Financial analysis- This guy is boring af, but he goes through the numbers that no one likes to read, records in mobile, and is cool enough to zoom in on what he is talking about.
https://youtu.be/wVxF7wwuogo
Can anyone see a downside other than "COVID CLAP Trumps all"? Maybe I've been chewing too much YouTube tinfoil on lunch, but the limit orders that are closing 930-4pm are making me think I've hit the Autistic Lottery. Wish I had bought more.
Friday, all I could see was a bull flag on the 4hr and 30min charts. Monday 8/03 it hasn't shit the bed at 11am EST. Maybe thats just the tin foil talking again and this is the ceiling.
http://imgur.com/gallery/nRYKBB5
Still in, and potentially interested in more contracts.
Open positions- http://imgur.com/gallery/naF9dik
submitted by aipipcyborg to wallstreetbets [link] [comments]

200 achievements of Modi Govt

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

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

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

How do people...

Forex has popped up on my radar on/off over the years but I did minimal research on it. I do keep up with economics and feel that I understand the whys/whens/hows on when things happen... I just never looked into Forex.
Recently Forex has popped up on my radar again... I have a few friends in Japan and a few more here in the states that trade. I've started researching, consuming as much information, studying chart-to-news-comparisons/trends/strategies/etc. I've started the Babypips course. I've also been playing with a demo account.
I've seen horror stories of people jumping in thinking it's a get-rich thing. Even with little research on it, it's easy and obvious to realize you can't make money overnight. Just from 2 weeks of diving in, I'm not even thinking about the make money side of it. The way the currency markets move fascinates me.
It seems crazy to me that people put their money in without at least 6 months of research and practicing on a demo account. In the future when I do put money in... do people not know about risk management? Risk management is screamed from the rooftops in this community/industry. Of course, you aren't going to win every trade... so don't put half to all of your account toward one trade.
I keep seeing/hearing the word mentor come up. Seems weird to me. Even one of my trader friends has a mentor. The other doesn't. Why would anyone trust any of these flashy IG/YT people? I'm sure some of them are fine but it already seems like there are a ton of things you need to learn on your own if you're interested in getting involved in these markets.
submitted by spid3rfly to Forex [link] [comments]

Europe looking tough..

The euro continued to be under pressure this week on doubts whether bloc leaders will overcome regional divisions over a 750 billion euro ($840.8 billion) coronavirus recovery fund. https://uk.reuters.com/article/uk-britain-sterling/sterling-falls-below-1-24-on-record-public-debt-idUKKBN23Q1BD T
he pound had slumped more than 1% against both the euro and the dollar on Thursday after the Bank of England increased its bond-buying programme by 100 billion pounds ($124 billion) to bolster the coronavirus-hit economy. https://uk.reuters.com/article/uk-britain-sterling/sterling-falls-below-1-24-on-record-public-debt-idUKKBN23Q1BD
The British pound was down 0.35% at $1.2385 after data showed that public borrowing hit a record high with debt exceeding economic output. https://uk.reuters.com/article/uk-global-forex/euro-steady-as-eu-summit-underway-dollar-set-for-weekly-gains-idUKKBN23Q08Q T
he central bank also kept its benchmark interest rate at 0.1% and said it expected a new total of 745 billion pounds in government bond purchases by the end of the year. https://uk.reuters.com/article/uk-britain-sterling/sterling-falls-below-1-24-on-record-public-debt-idUKKBN23Q1BD
That optImism was offset by official data showing that government borrowing hit a record high and public debt had climbed above economic output. https://uk.reuters.com/article/uk-britain-sterling/sterling-falls-below-1-24-on-record-public-debt-idUKKBN23Q1BD
Against the euro, the pound was last down 0.3% at 90.46 pence. https://uk.reuters.com/article/uk-britain-sterling/sterling-falls-below-1-24-on-record-public-debt-idUKKBN23Q1BD
We need to see something ahead of the Brexit transition period end.” Japan and Britain agreed to start talks on an early trade deal, Japan’s foreign ministry said.- Sterling rose against the dollar on Monday as plans to ease coronavirus lockdowns in Britain and signs the economy may bounce back due to pent-up demand kept the currency just below the $1.27 touched late last week. N/A The OBR said it would publish a revised borrowing scenario on July 14 incorporating the smaller fall in economic output and tax since its last forecast, and adding extra scenarios showing the potential budget consequences of longer-term economic damage. https://uk.reuters.com/article/uk-health-coronavirus-britain-obcovid-hit-to-uk-tax-revenues-slightly-less-than-feared-obr-says-idUKKBN23Q23Z?il=0
“Some sort of symbolic step to (euro zone) fiscal union... is enough to reduce the risk premium that was affecting the euro,” said Claire Dissaux, head of strategy at Millennium Global, a fund which helps clients manage FX exposure. https://uk.reuters.com/article/uk-euro-outlook/coming-back-to-life-euro-bulls-eye-1-20-and-beyond-idUKKBN23J2FU
submitted by lcyfi to investing [link] [comments]

So you wanna be a proffesional trader?

Back to the trenches I guess. Some of you might remember my last post over proffesional approaches to the markets. If not I suggest you take a look on it before reading this.
https://www.reddit.com/Forex/comments/cxymyf/a_peek_into_how_financial_institutions_play_this/
I promised to discuss some stuff about macroeconomic approaches to forex, and well, with some delay here I am. Again, here I introduce the very same disclaimer. This is a professional approach, not coming from retail. Take everything with a grain of salt, and exercise proper due diligence with your approach. Sincerely hope you get something out of this post.
An inconvenient, forex truth
You've been there, struggling and suffering for a while. You have experienced the pain that the markets can unleash on you. You have left positions on the red for longer than your sanity could possible hold. You have opened positions that moved to the green, but you did not take any profits and you let that position slowly die and possibly causing huge loses. Now here you are , in October 2019, possibly as a breakeven trader, still suffering and trying. You have researched hundreds of indicators, if not thousands. You thought you have all sorted out with your RSI , stochastics and TDI. Yet you have switched between strategies more than you have changed your underpants in your whole life. Spent too many hours looking at the screen, wondering what the hell you are still missing.
And the incovenient truth is that you want the glitz and the glamour, and the caviar, but you are not willing to eat the shit. And this is the shit: How are you expecting to make any good money on a field where you dont know virtually anything about it. Nor the substance that you are trading, nor what moves it. How are you actually expecting to beat guys that breath and eat economics?. You know literally nothing about volatility and liquidity, about interbanking flows , about puts and calls, market microestructure and price delivery mechanisms both on OTC markets and CME , what is GDP , how is calculated and why is critical. CPI, NMI, GDP to debt ratios, UST, repo markets, shadow banking, carry diferentials, how and why commodities alter certain currencies. EM vs G10 currencies, pegged vs unpegged. Balances of Payments.... When you hear "greeks" you are thinking about the Iliad or Athens. You know nothing about business and credit cycles. Valuation anchors, return to the mean, standard deviations, fair values. I could go on and on and on. Does this make you uncomfortable? It should.
You have dozens of the best students that the world can produce, coming out of the London School of Economics, or from IT degrees in Harvard and MIT, all moving into freaking huge financial institutions, building complex system, doing incredible research . Funded to an extreme you can not imagine. Working in partnership with the IMF and Central Banks all aroundthe world. PhD's dedicating their lifes to such complex systems and situations....... and yet here you are, insolent and ignorant piece of s***, you that have been trying to make your "RSI" or "stochastic" work for 2 months, trying to beat this multi billion-trillionaire infrastrucure. Do you start to realize where the f*** do you stand? Do you really believe even for a freaking second that you can beat them on their game? Using RSI or Ichimoku? EAT.THIS.SHIT.
And its not that technicals are not necesary. They are. But believe me, I (and most pro's that I've ever engaged with) spent less than 1/5 of the time actually managing trades and looking at price charts. If I'm not scalping , my day starts with me reading around 12 to 15 research papers coming from the main financial institutions, glued to my Reuters terminal reading more reports, looking at polls, updating my macroeconomic models with the latest data, performing calculations related to options...... only then, with a fundamental trading idea, I will move to evaluate technicals to see if the timing is good.
I want to learn, how shall I procede?
You want to build a lasting and enjoyable relationship with the market? EAT THE SHIT, and do all that is under your control to actually be able to open The Financial Times and understand what they are talking about. It will take you years, and for the education, hundreds of dollars. But this is how it goes if you want to get real. This is career, not a hobby. This is simply the way to be consistent. EAT THE SHIT.
I compiled some resources to get you started:
ACATIS Konferenz 2016, Mr. Koo, Surviving in the Intellectually Bankrupt Monetary Policy Environment - A great video coming from Nomura, to understand the actual shitty situation in the Eurozone.
Online Courses - Look for IMF on EDX. Also, a fenomenal course on Banking and Money in Coursera.
Books -
Macroeconomics, Gregory Mankiw - Start here to graps the basic concepts
Financial Times Guide to the Financial Markets
Financial Times Guide to Banking
Applied Financial Macroeconomics and Investment Strategy: A Practitioner’s Guide to Tactical Asset Allocation
The Holy Grail of Macroeconomics: Lessons from Japan's Great Recession
The Escape from Balance Sheet Recession and the QE Trap: A Hazardous Road for the World Economy
The Other Half of Macroeconomics and the Fate of Globalization (English Edition)
The new lombard street - how the fed became the dealer of last resort
Foreign Exchange , Amy Middleton
The Role of Currency in Institutional Portfolios, Momtchil Pojarliev and Richard M. Levich
Currency Overlay: A Practical Guide, Second Edition, Hai Xin
The Handbook of Corporate Financial Risk (2nd edition)
Trade Stocks and Commodities with the Insiders: Secrets of the COT Report (Wiley Trading)
How I Made One Million Dollars Last Year Trading Commodities
Market Liquidity: Theory, Evidence, and Policy (English Edition)
Trading And Exchanges: Market Microstructure For Practitioners
The Microstructure Approach to Exchange Rates
The Creature from Jekyll Island: A Second Look at the Federal Reserve
Big Debt Crises
Payments Systems in the U.S. - Third Edition: A Guide for the Payments Professional
The Volatility Machine: Emerging Economics and the Threat of Financial Collapse (English Edition)
Stabilizing an Unstable Economy
submitted by Cryptochihuahua to Forex [link] [comments]

The Henry Jackson Initiative by Lady Forester

While reasearching Epstein's known associates, an interesting individual stood out. Lynn Forester de Rothschild, Lady de Rothschild. No intention of this being a Rothschild Conspiracy. If your are uninterested to read the content below, scroll down to Comment to get my summary and take on this information. As always please Fact check this.
(HJI) is a bi-partisan, transatlantic movement of business leaders, senior policy makers and academics focused on promoting a more Inclusive Capitalism. The HJI calls for international collaboration from businesses and other organizations to encourage the widest possible adoption of programs that improve capitalism as a driver of wellbeing for society.
The HJI grew out of the Task Force project For Inclusive Capitalism, which sought solutions to the effects on society and business as a result of the global financial crisis of 2007 – 2008 and the dislocations caused by capitalism’s practice over the past 30 years. The Taskforce, which was co-chaired by Dominic Barton, Global Managing Director, McKinsey & Company, and Lady Lynn Forester de Rothschild, CEO, El Rothschild, published its inaugural paper Towards a More Inclusive Capitalism in May 2012. The report sets out three pathways for business action that lie at the heart of the HJI’s mandate:
  1. Education for employment: addressing the gap between employer needs and employee skills
  2. Nurture start-ups and SMEs: mentoring small businesses and improving access to credit for them
  3. Reform management and governance for the long term: replacing today’s focus on short term performance
The HJI exists to highlight and support businesses and other organizations working to promote the broadest possible adoption of best practices in these and other areas related to Inclusive Capitalism. The HJI believes there is an urgent and compelling demand for business to act to address the greatest systemic issues facing capitalism today. The HJI also believes that business is best positioned to lead innovations in areas that need them the most.

WHO WAS HENRY JACKSON?

Henry Martin "Scoop" Jackson (May 31, 1912 – September 1, 1983) was an American politician who served as a U.S. Representative (1941–1953) and U.S. Senator (1953–1983) from the state of Washington). A Cold War liberal and anti-Communist Democrat), Jackson supported higher military spending and a hard line against the Soviet Union, while also supporting social welfare programs, civil rights, and labor unions.
Jackson was awarded the Presidential Medal of Freedom posthumously in 1984; Ronald Reagan called him "one of the greatest lawmakers of our century," and stated:
Scoop Jackson was convinced that there's no place for partisanship in foreign and defense policy. He used to say, 'In matters of national security, the best politics is no politics.' His sense of bipartisanship was not only natural and complete; it was courageous. He wanted to be President, but I think he must have known that his outspoken ideas on the security of the Nation would deprive him of the chance to be his party's nominee in 1972 and '76. Still, he would not cut his convictions to fit the prevailing style. I'm deeply proud, as he would have been, to have Jackson Democrats serve in my administration. I'm proud that some of them have found a home here.

Criticism

Jackson was known as a hawkish Democrat. He was often criticized for his support for the Vietnam War and his close ties to the defense industries of his state. His proposal of Fort Lawton as a site for an anti-ballistic missile system was strongly opposed by local residents, and Jackson was forced to modify his position on the location of the site several times, but continued to support ABM development. American Indian rights activists who protested Jackson's plan to give Fort Lawton to Seattle, instead of returning it to local tribes, staged a sit-in. In the eventual compromise, most of Fort Lawton became Discovery Park), with 20 acres (8.1 ha) leased to United Indians of All Tribes, who opened the Daybreak Star Cultural Center there in 1977.
Opponents derided him as "the Senator from Boeing" and a "whore for Boeing" because of his consistent support for additional military spending on weapons systems and accusations of wrongful contributions from the company; in 1965, 80% of Boeing's contracts were military. Jackson and Magnuson's campaigning for an expensive government supersonic transport plane project eventually failed.
After his death, critics pointed to Jackson's support for Japanese American internment camps during World War II as a reason to protest the placement of his bust at the University of Washington.Jackson was both an enthusiastic defender of the evacuation and a staunch proponent of the campaign to keep the Japanese-Americans from returning to the Pacific Coast after the war.

Jackson Papers controversy

Senator Jackson's documents were donated to the University of Washington shortly after his death in 1983, and have been archived there ever since.When the materials were donated in 1983, university staff removed all information considered classified at the time.Additional materials were added to the collection until 1995.
At some point, library staff discovered a classified document in the collection and sent it to the government for declassification. In response, in the summer of 2004, a man who identified himself as an employee of the Central Intelligence Agency (CIA) called the University of Washington asking to inspect Senator Jackson's archived documents housed there. He found a document labelled as classified and showed this to a librarian.[48] In February 2005, 22 years after Jackson's death, a five-person team including staff of the CIA, Department of Defense, the Department of Energy, and the Information Security Oversight Office came to library to review all of Jackson's papers to remove anything still considered classified, or reclassified since then. The Department of Energy found nothing of concern, but the CIA blanked lines in about 20 papers and pulled 8 documents out of collection. As of 2018, some files in the collection are available only to those regarded by the library as "serious researchers", who must first sign a release not to divulge some of the information contained in the files.

The Henry Jackson Society

The society was founded on 11 March 2005 by academics and students at Cambridge, including Brendan Simms, Alan Mendoza, Gideon Mailer, James Rogers and Matthew Jamison. It organises meetings with speakers in the House of Commons. The society claims that it advocates an interventionist) foreign-policy that promotes human rights and reduces suffering, by both non-military and military methods, when appropriate.
In 2006, the society worked to raise the profile of the Ahwazi Arabs of Iran, who it claims are currently being oppressed by the Iranian government.
After originating within the University of Cambridge, the organisation is now based in London. In April 2011 the entire staff of another London think-tank, the Centre for Social Cohesion (which has since been dissolved), joined the Henry Jackson Society.
The organisation is a registered charity in England and Wales and earns financial backing from private donations and grant-making organisations which support its work. The income of the society increased significantly from 2009 to 2014, from £98,000 to £1.6 million per year.
In 2017 Hannah Stuart, one of the society's Research Fellows, released Islamist Terrorism: Analysis of Offences and Attacks in the UK (1998–2015), which profiled every individual convicted under terrorism legislation in the UK between those dates with an Islamist connection.

Structure and projects

The Society has produced a breadth of research reports and papers. These have mostly focused on Islamist extremist activity in the UK, crackdowns on human rights and democracy elsewhere, and various facets of foreign policy and defence.Its current workstreams include:
In September 2018, the Society announced the creation of a new Centre for Social and Political Risk. This Centre will "identify, diagnose and propose solutions to threats to governance in liberal Western democracies", focusing on social cohesion and integration; freedom of speech and political correctness; demographic change; and other issues.

Criticism

The think tank has been described by the media as having right-wing and neoconservative leanings, though it positions itself as non-partisan.In 2014, Nafeez Ahmed, an executive director of the Institute for Policy Research & Development, said that the Henry Jackson Society courts corporate, political power to advance a distinctly illiberal oil and gas agenda in the Middle East.
In 2009 the society became the secretariat of two all-party parliamentary groups (APPGs), for Transatlantic and International Security, chaired by Gisela Stuart, and for Homeland Security, chaired by Bernard Jenkin. A transparency requirement upon non-profit organisations acting as secretariat at that time was that they must reveal, on request, any corporate donors who gave £5,000 or more to the organisation over the past year or cease acting as a secretariat organisation. In 2014, following a query, the society refused to disclose this information and resigned its position as secretariat of the APPGs concerned in order to comply with the Rules. The Parliamentary Commissioner for Standards, Kathryn Hudson, upheld a complaint against these APPGs on the grounds data had not been provided, but noted the society had already resigned its position and that the consequence of this non-provision therefore "appears to have taken effect" as the Rules intended. The case was therefore closed with no further action taken and the APPGs themselves dissolved with the dissolution of Parliament in March 2015. The APPG Rules were subsequently changed in March 2015 so that only those non-profit organisations providing services to APPGs of more than £12,500 in value needed to declare their corporate donors.
In July 2014 the Henry Jackson Society was sued by Lady de Rothschild over funds of a "caring capitalism" summit. Lady de Rothschild claims that she has financed the summit and that HJS and its executive director Alan Mendoza are holding £137,000 of “surplus funds” from the conference that should be returned to the couple’s investment company EL Rothschild.
Think tank discussions on the Middle East and Islam have led some media organisations to criticise a perceived anti-Muslim agenda. Marko Attila Hoare, a former senior member, cited related reasons for leaving the think tank and Scottish Labour leader Jim Murphy was urged, in 2015, to sever his links with the society.
According to the report published in 2015, "a right-wing politics is apparent not only in the ideas that the Henry Jackson Society promotes, but also emerges distinctly on examination of its funders."
In 2017, the Henry Jackson Society was accused of running an anti-China propaganda campaign after the Japanese embassy gave them a monthly fee of 10,000 pounds.The campaign was said to be aimed at planting Japan's concerns about China in British newspapers.
Co-founder Matthew Jamison wrote in 2017 that he was ashamed of his involvement, having never imagined the Henry Jackson Society "would become a far-right, deeply anti-Muslim racist [...] propaganda outfit to smear other cultures, religions and ethnic groups." "The HJS for many years has relentlessly demonised Muslims and Islam."
In January 2019, Nikita Malik of the Henry Jackson Society provided The Daily Telegraph with information they claimed showed a Muslim scout leader was linked to Islamic extremists and Holocaust deniers.In January 2020 The Daily Telegraph issued a retraction and formal apology saying that:
"the articles said that Ahammed Hussain had links to extremist Muslim Groups that promoted terrorism and anti-Semitism, and could have suggested that he supported those views and encouraged their dissemination. We now accept that this was wrong and that Mr Hussain has never supported or promoted terrorism, or been anti-Semitic.We acted in good faith on information received but we now accept that the article is defamatory of Mr Hussain and false, and apologise for the distress caused to him in publishing it. We have agreed to pay him damages and costs."
The initial signatories of the statement of principles included:
International patrons included Richard Perle, William Kristol, former CIA Director R. James Woolsey Jr., and former Lithuanian leader Vytautas Landsbergis.

Comments

This has been a rabbit hole and only half the story regarding Lady Forester. Then only link between Lady Forester and Jeffrey Epstein is In 1995, financier Lynn Forester discussed "Jeffrey Epstein and currency stabilization" with Clinton. Epstein, according to his own accounts, was heavily involved in the foreign exchange market and traded large amounts of currency in the unregulated forex market. I will post another story Lady Forester and the coalition for Inclusive Capitalism.

References

https://en.wikipedia.org/wiki/Henry_Jackson_Society
https://henryjacksonsociety.org/who-was-henry-jackson/
https://en.wikipedia.org/wiki/Henry_M._Jackson
submitted by DeusEx1991 to Epstein [link] [comments]

Wall Street Week Ahead for the trading week beginning June 24th, 2019

Good afternoon and happy Saturday to all of you here on wallstreetbets. I hope everyone on this subreddit made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning June 24th, 2019.

What to watch in the market in the week ahead: Stocks on track for best first half in 22 years - (Source)

The fate of U.S.-China trade talks could play out in the week ahead, and that could set the tone for markets and the economy in the second half of the year.
Stocks set new highs in the past week, after the Federal Reserve signaled it was ready to cut interest rates if necessary, and Fed Chair Jerome Powell said trade and the global economy are two factors the Fed is watching.
The S&P 500 was on track, as of Friday, to score a more than 17.6% gain for the first half, which ends Friday. If it stays at that level that would be the best first half performance since 1997, when the S&P was up 19.4% in the first six months.
The big event in the coming week has been as anticipated for weeks, and it could sway sentiment for weeks to come. At the end of the week, the G-20 meets in Osaka Japan for meetings Friday and Saturday.
‘Could go either way’ President Donald Trump and Chinese President Xi Jinping are expected to have their own dinner meeting at the G-20 next weekend, following discussions between their trade representatives. That meeting could decide how trade negotiations go forward, and whether the U.S. proceeds with another round of tariffs, this time on $300 billion in goods.
“Everybody knows the Trump, Xi meeting could go either way,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “I think everyone expects a new tariff freeze. That the $300 billion won’t go into effect. The most you can hope for out of G-20 meeting is the tariffs are where they are right now, and there’s no more escalation.That also means China will not release the list of companies they won’t do business with.”
Chandler said he will be looking for signaling from Trump and Xi on whether they are working on a deal that would be just on the trade topics, or bigger issues like North Korea and differences on the South China Sea.
“I do think the G-20 is quite important in that there’s not question in recent months, the trade war started to really move into measures of confidence and measures of manufacturing activity,” said Ethan Harris, head of global economics at Bank of America Merrill Lynch. Harris said he expects a positive message with an agreement of no further escalation, but probably not signs of significant progress. “I think the vibes coming out of it will be modestly positive,” he said.
“Whether there’s an escalation to the next round of China tariffs is going to set the theme for the rest of the year. Even if tariffs on China are reversed, or partly reversed, at some point, every time there’s an escalation or temporary escalation, it’s another kind of blow to confidence,” he said.
Harris said there’s the same risk as after the Trump, Xi meeting at the last G-20, where it was a positive tone but there was little progress afterwards and the markets then reacted negatively.
“I think there’s been this broad increased awareness from every economist that the trade war is starting to have noticeable impact. Further escalation with China would be quite a big signal. If the Trump administration puts tariffs on all the Chinese products it roughly doubles the size of the trade war and it sends a very strong message that there are very few constraints on where [Trump] goes next,” he said.
Powell and data Besides the meeting between Trump and Xi, the market focus will be on anything that could provide clues on what the Fed or even the European Central Bank will do, after ECB President Mario Draghi last week basically promised a new era of easing. Consumer price inflation data is expected for the euro zone, and on Friday, the U.S. personal consumption expenditure data is released, including the PCE deflator, a major inflation indicator for the Fed.
There are also a few Fed speakers, including Powell who speaks at the Council on Foreign Relations Tuesday.
“It’s probably going to be a big picture kind of talk about the broader challenges of the Fed,” said Ethan Harris, head of global economics at Bank of America Merrill Lynch. “They’re certainly going to ask questions about political influence at the Fed, and he’s going to dodge those. I think what I’m waiting for him to comment on is what it is they’re looking for to determine whether they’re going to cut in July or not.”
Harris said Powell is not likely to say anything he did not reveal at his press briefing in the past week, and the big focus will be on the lead up to the weekend G-20.
Falling interest rates and rising oil prices were two big factors in the market int he past week. The 10-year Treasury yield dipped briefly below 2%, a near 3-year low, as the Fed signaled its willingness to cut interest rates.
“Should we get some sort of trade agreement that would be a nice pop to the [stock] market, but that could take the rate cut off the table,” said Sam Stovall, chief investment strategist at CFRA.
Stovall said the stock market will also be watching oil after its rapid run higher, and the events in the Middle East surrounding Iran. West Texas Intermediate futures were up more than 9% in the past week, to $57.43.
“The old adage is every $10 increase in the price of oil takes off 20 to 25 basis points off of real GDP growth,” he said.
Stovall said stocks have had a solid run so far this year, but they may face some rocky times between now and the end of the summer. “For the rest of this ‘sell in May’ period we could be facing some challenges, headwinds. I think we’ will still end higher on the year. I think the seasonally optimistic September to November period will kick in but there will be a lot of challenges...will the Fed be cutting rates? what are the growth prospects?” he said.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)

Big S&P 500 Junes Drain Life from Julys

S&P 500 is off to it best June performance since 1955, up 7.34% as of yesterday’s close. If yesterday was the last trading day of June, this performance would have been strong enough to push the month to 6th best going back to 1930. Looking back to late May, this performance is still impressive even though it was anticipated following May’s abysmal showing. However, such strong performance in June may not carry over into July.
Below S&P 500 performance in June has been split into positive and negative tables. Each table contains July’s historical performance as well as full-year performance. Historically July has been weaker after a positive June. July averages just 0.48% after an up June compared to a gain of 2.84% after a down June. Examining the Top 20 Junes and subsequent Julys showed only a modest improvement in performance with average July gain climbing to 1.11%. However, even if July does disappoint this year, the full year is likely to still be quite fair as past positive Junes where followed by full-year gains 80% of the time with an average gain of 13.44%.
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Can Stocks Really Gain 20% This Year?

U.S. stocks could have a big year if LPL Research’s forecasts prove correct.
All year, we’ve maintained our fair value target on the S&P 500 Index of 3,000, implying that we expect this bull market and economic expansion to continue. If the S&P 500 closes the year at 3,000, the index will have gained 19.7% in 2019.
On the surface, that seems like a high hurdle for U.S. stocks. However, the S&P 500 has already gained about 16% this year, so a rally to 3,000 isn’t far out of reach.
The S&P 500 also hasn’t posted a 20% gain for the year since 2013, an unusually long stretch compared to history.
“It is interesting that the S&P 500 hasn’t gained more than 20% in any one year for five consecutive years,” noted LPL Senior Market Strategist Ryan Detrick. “Only once since 1950 did it go more than five years in a row without gaining 20%, thus if this pattern continues we very well might get to 20% in 2019.”
As our LPL Chart of the Day “Can The S&P 500 Index Really Gain 20% This Year?” shows, it is quite rare for the S&P 500 to go this long without a 20% annual gain. Could the streak end in 2019? Be sure to read our Midyear Outlook 2019, which is set for release next week, for more on why this could be the case.
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Prospect of Lower Rates Lifts Gold

As widely anticipated, the Fed did not change its target rate today. Instead, the Fed set the stage for cuts possibly later this year. Overall, the market’s response was a choppy climb to a modestly higher close. A more enthusiastic move by the market may have occurred if the Fed cut rates. Gold’s reaction was more favorable, finishing the day higher by over 1%. Generally, the lower interest rates go, the more desirable gold can become as lower rates typically result in a weaker dollar.
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In the above chart, gold’s monthly performance from 1975 to 2018 is displayed. Historically, October has been gold’s worst month and June is a close second. Historically, after weakness in June, gold has, on average, enjoyed solid gains in July, August and September. Some of this strength in gold is likely due to safe-haven demand during the stock market’s worst two months, August and September. Gold’s best three months, July to September, could easily be above average this year, especially if the Fed decides to cut sooner rather than later.

Are Bulls An Endangered Species?

The S&P 500 Index closed at a new all-time high yesterday, the 5th new high so far in 2019. After May, the worst month for the S&P 500 since 2010, June is up 7.3% as of 06.20.19, which would be the best June since 1955.
Much of the rally this month has been sparked by a more dovish Federal Reserve (Fed), combined with U.S.-China trade discussions potentially back on track.
What’s quite interesting about things now though, is many signs of investor sentiment are a long way from bullish. Remember, from a contrarian (or opposing) point of view, this can suggest there is still money on the sidelines.
“The S&P 500 might be at new highs, but global fund managers and individual investors are quite underweight equities right now,” explained LPL Senior Market Strategist Ryan Detrick. “If you are looking for a reason this rally can continue, that could be it.”
For example, the recent Bank of America Merrill Lynch June Global Fund Manager Survey (a survey of managers who oversee more than $600 billion in assets) showed the largest jump in cash since August 2011. Additionally, equity allocation was the lowest it had been since March 2009, and the equity-to-bond allocation was the lowest since May 2009. Not to mention the allocation to bonds was the highest it had been in eight years. “Money on the sidelines might sound cliché, but it really seems to be the case this time,” said Detrick. With the S&P 500 hitting more all-time highs, having money in the market may make more sense (or cents!).
Individual investors are skeptical as well, as the recent American Association of Individual Investors (AAII) Sentiment Survey showed more bears than bulls for six straight weeks, the longest stretch since November 2016. Finally, as our LPL Chart of the Day shows, AAII bulls have been under 30% for six consecutive weeks for the first time since January 2016.

Broad Strength in Health Care Sector

In an earlier post, we highlighted the fact that some of the ten best performing S&P 500 Industries between the S&P 500's highs on 4/30 and 6/20 were from the Health Care sector. It hasn't just been these four industries that have been strong in the Health Care sector either. The performance snapshot of the sector below shows just how strong the sector has been lately. While all six of the industries within the sector aren't up YTD or so far in Q2, between the S&P 500's highs on 4/30 and 6/20, Health Care is the only sector where every industry within the sector has posted positive returns. Not even the industries within the Utilities sector have been this uniformly positive. The best performer of the bunch has been Health Care Technology, which is up 8% since the end of April and has extended its YTD gain to 36.8%. The worst performing industry in the sector has been Biotech which is up 2.1% since 4/30, and while that may not sound like much, it's still better than more than half of the other industries in the index.
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Best and Worst Groups Between Highs

While the S&P 500 made a new high for the first time in 35 trading days yesterday, many of the characteristics of the groups driving the rally have shifted. To highlight this, in the table below we summarize the ten best and worst performing S&P 500 Industries from the close on 4/30 through yesterday. During that 35 trading day stretch, 34 Industries saw positive returns while another 27 declined.
Industries that have seen the biggest gains between the two new highs are primarily defensive in nature as all but three come from sectors that are typically considered defensive (Consumer Staples, Health Care, and Real Estate). Health Care has been the real star of the show, though. Of the sector's six different industries, four of them made the top ten!
On the downside, cyclical industries have dominated the weak side. When industries like Semis, Autos, Construction & Engineering, and Air Freight are lagging the market, it really illustrates the presence of economic concerns. Leading the way lower, Energy Equipment and Services declined over 10%, followed by Semiconductors which were down just under 10% after failing at resistance on Thursday for the third time in a month. These two industries are followed by two industries (Tobacco and Power and Renewable Energy) that come from sectors that are traditionally considered defensive, but they have their own specific issues to deal with.
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STOCK MARKET VIDEO: Stock Market Analysis Video for June 21st, 2019

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STOCK MARKET VIDEO: ShadowTrader Video Weekly 06.23.19

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Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $BB
  • $FDX
  • $NKE
  • $GIS
  • $WBA
  • $STZ
  • $LEN
  • $FDS
  • $PAYX
  • $SOL
  • $CAG
  • $ACN
  • $RAD
  • $INFO
  • $SNX
  • $KBH
  • $AVAV
  • $JKS
  • $UNF
  • $SCHN
  • $MKC
  • $ATU
  • $PIR
  • $MLHR
  • $SJR
  • $AITB
  • $SKIS
  • $SGH
  • $GMS
  • $APOG
  • $FUL
  • $NG
  • $PDCO
  • $WOR
  • $ACST
  • $FC
  • $CAMP
  • $PRGS
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 6.24.19 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Monday 6.24.19 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Tuesday 6.25.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 6.25.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 6.26.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 6.26.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 6.27.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 6.27.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Friday 6.28.19 Before Market Open:

(CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Friday 6.28.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Micron Technology, Inc. $33.25

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $0.75 per share on revenue of $4.72 billion and the Earnings Whisper ® number is $0.75 per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat The company's guidance was for earnings of $0.75 to $0.95 per share. Consensus estimates are for earnings to decline year-over-year by 75.96% with revenue decreasing by 39.46%. Short interest has decreased by 16.6% since the company's last earnings release while the stock has drifted lower by 20.3% from its open following the earnings release to be 14.5% below its 200 day moving average of $38.89. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 20, 2019 there was some notable buying of 12,540 contracts of the $25.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 5.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

BlackBerry Limited $8.48

BlackBerry Limited (BB) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, June 26, 2019. The consenus estimate is for breakeven results on revenue of $249.12 million and the Earnings Whisper ® number is $0.02 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 100.00% with revenue increasing by 16.96%. The stock has drifted lower by 14.1% from its open following the earnings release to be 4.2% below its 200 day moving average of $8.85. On Wednesday, June 12, 2019 there was some notable buying of 3,499 contracts of the $9.00 call expiring on Friday, June 28, 2019. Option traders are pricing in a 10.2% move on earnings and the stock has averaged a 8.4% move in recent quarters.

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FedEx Corp. $165.35

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $4.81 per share on revenue of $17.96 billion and the Earnings Whisper ® number is $4.95 per share. Investor sentiment going into the company's earnings release has 45% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 18.61% with revenue increasing by 3.73%. Short interest has increased by 60.1% since the company's last earnings release while the stock has drifted lower by 4.3% from its open following the earnings release to be 14.3% below its 200 day moving average of $192.96. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 19, 2019 there was some notable buying of 3,273 contracts of the $175.00 call expiring on Friday, July 19, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 4.8% move in recent quarters.

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Nike Inc $85.75

Nike Inc (NKE) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, June 27, 2019. The consensus earnings estimate is $0.66 per share on revenue of $10.16 billion and the Earnings Whisper ® number is $0.71 per share. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 4.35% with revenue increasing by 3.79%. Short interest has increased by 0.6% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 6.8% above its 200 day moving average of $80.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, June 20, 2019 there was some notable buying of 3,156 contracts of the $92.50 call expiring on Friday, July 19, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 4.8% move in recent quarters.

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General Mills, Inc. $53.77

General Mills, Inc. (GIS) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, June 26, 2019. The consensus earnings estimate is $0.76 per share on revenue of $4.23 billion and the Earnings Whisper ® number is $0.79 per share. Investor sentiment going into the company's earnings release has 52% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 3.80% with revenue increasing by 8.73%. Short interest has increased by 1.3% since the company's last earnings release while the stock has drifted higher by 11.2% from its open following the earnings release to be 16.9% above its 200 day moving average of $45.98. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 4.4% move in recent quarters.

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Walgreens Boots Alliance Inc $52.45

Walgreens Boots Alliance Inc (WBA) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, June 27, 2019. The consensus earnings estimate is $1.43 per share on revenue of $34.53 billion and the Earnings Whisper ® number is $1.45 per share. Investor sentiment going into the company's earnings release has 38% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 6.54% with revenue increasing by 0.57%. Short interest has decreased by 8.1% since the company's last earnings release while the stock has drifted lower by 6.1% from its open following the earnings release to be 21.7% below its 200 day moving average of $67.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, June 4, 2019 there was some notable buying of 1,012 contracts of the $50.00 put expiring on Friday, June 28, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 6.2% move in recent quarters.

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Constellation Brands, Inc. $183.73

Constellation Brands, Inc. (STZ) is confirmed to report earnings at approximately 7:30 AM ET on Friday, June 28, 2019. The consensus earnings estimate is $2.09 per share on revenue of $2.06 billion and the Earnings Whisper ® number is $2.16 per share. Investor sentiment going into the company's earnings release has 73% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.00% with revenue decreasing by 7.62%. Short interest has increased by 66.1% since the company's last earnings release while the stock has drifted higher by 2.9% from its open following the earnings release to be 3.0% below its 200 day moving average of $189.32. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 12, 2019 there was some notable buying of 1,200 contracts of the $110.00 put expiring on Friday, January 17, 2020. Option traders are pricing in a 3.2% move on earnings and the stock has averaged a 6.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Lennar Corp. $51.35

Lennar Corp. (LEN) is confirmed to report earnings at approximately 6:00 AM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $1.13 per share on revenue of $5.11 billion and the Earnings Whisper ® number is $1.16 per share. Investor sentiment going into the company's earnings release has 54% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 28.48% with revenue decreasing by 6.39%. Short interest has decreased by 3.6% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 9.6% above its 200 day moving average of $46.84. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, June 19, 2019 there was some notable buying of 7,349 contracts of the $52.50 call expiring on Friday, July 19, 2019. Option traders are pricing in a 6.4% move on earnings and the stock has averaged a 5.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

FactSet Research Systems, Inc. $298.08

FactSet Research Systems, Inc. (FDS) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, June 25, 2019. The consensus earnings estimate is $2.37 per share on revenue of $358.95 million and the Earnings Whisper ® number is $2.39 per share. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.72% with revenue increasing by 5.60%. Short interest has increased by 37.7% since the company's last earnings release while the stock has drifted higher by 26.3% from its open following the earnings release to be 25.6% above its 200 day moving average of $237.31. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, June 18, 2019 there was some notable buying of 2,350 contracts of the $280.00 put expiring on Friday, July 19, 2019. Option traders are pricing in a 5.7% move on earnings and the stock has averaged a 4.9% move in recent quarters.

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Paychex, Inc. $86.52

Paychex, Inc. (PAYX) is confirmed to report earnings at approximately 8:30 AM ET on Wednesday, June 26, 2019. The consensus earnings estimate is $0.65 per share on revenue of $979.93 million and the Earnings Whisper ® number is $0.66 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 6.56% with revenue increasing by 12.49%. Short interest has decreased by 0.8% since the company's last earnings release while the stock has drifted higher by 9.1% from its open following the earnings release to be 16.0% above its 200 day moving average of $74.61. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, June 13, 2019 there was some notable buying of 2,024 contracts of the $90.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 4.0% move on earnings and the stock has averaged a 1.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming week ahead?
I hope you all have a fantastic weekend and a great final trading week of June and Q2 ahead wallstreetbets.
submitted by bigbear0083 to wallstreetbets [link] [comments]

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