Forex Calculator – Rich Will Japan

No Agent Taobao Direct Buying Guide! Let's view all baby and determine

Taobao Direct Guide for users familiar with 3rd party agents and navigating taobao (with chrome google translate on, hence the title)
What is Taobao direct? Basically instead of copying and pasting the item URL into the agent website, you add items to your cart like a regular ecommerce site, check out, wait for items to arrive in the warehouse (similar to what happens when you use an agent) and then when all your items from various sellers are in, you request the logistics company to send everything to you.
Disclaimer: I have no Chinese fluency written or otherwise. I did everything through Google translate and my experience with how tb works through agents. If something goes wrong I will probably write off the item 🤣 if you communicate a lot with the ts who use translators it also helps get your point across. If you type in English in tb live chat they will redirect you to the HK/tw help staff who have medium English. Also I bought items I purchased previously with an agent or vouched for here on RL or had crazy high reviews/ratings.
Pros:
Cons:
I think the ideal usage for taobao direct would be light items like innerwear, jewelry, soft/non fragile goods, generally clothing and shoes although I don’t know if they will include the box by default.
Please see here for the image guide for ordering Sorry in advance if my descriptions are wonky, I'm not great at following OR writing instructions but hopefully the screenshots make it easier to follow along.
  1. Create an account (there are various guides out there for overseas members) and go into your account and add your home address (or the superbuy warehouse address)
  2. Find your items and change the delivery location to "overseas", add to cart
  3. When you're ready to check out hit check out, enter your cc info on the alipay (remember to use a card that doesn't charge foreign transaction fees) and confirm it goes through.
  4. Wait for all your stuff to come in. When its in the tb warehouse it will show up in the "consolidated delivery" section tagged with a weight (usually volumetric or actual). The 20 day countdown will start once its available for international shipping.
  5. After all your items are in, or you can batch up by selecting items on the consolidated delivery page, submit for delivery. Pay again through alipay.
  6. Use the check logistics option to get the tracking info and wait for your haul!
  7. After receiving but before you open, take photos of it on a scale and the lxwxh with a ruler as well. This is because they will overestimate your shipping but there isn't rehearsal shipping like with agents. You can request a refund after the fact with the "refund/complaint" option on the consolidated delivery page (mine says check refund because I've already gone through it)
  8. Getting a refund: select the "only refund" option, "goods received" and "shipping cost does not match" and leave the full shipping amount in. Upload your measurement and weight photos (make sure the file size is not too big). Within 72hr they will reply and ask you to modify your application with the real amount owed (if any). It will go back to your cc through alipay (may take a few days).
Cost comparison: Even after the 5% sales tax and 3% alipay, it cost me $6.20 total from my credit card statement. A 39 yuan top up for sb is $6.53 as of today (if using paypal). For some the qc pictures and the longer storage period are well worth the difference. However a good compromise is the parcel forwarding option in sb. Instead of shipping to your house you can set up superbuy’s warehouse address and pay in taobao and wait for your items to show up in sb. You also have to submit the item link and the tracking # in superbuy so they can find your stuff. There's no sales tax and usually no shipping and you can select the coupons you want. I had a pair of pants make it to the sb warehouse almost 24hr after ordering, and another 24hr after entering my shipping info and item link in sb, it showed up in my account with free (non hd) pictures of the item. Then I cried putting together the shipping parcel lol.
This is a good way to dodge the sales tax and hold items for longer. However then you're at the mercy of the shipping costs (but you do have more options for delivery lines and you can customize how you want your items packaged too). The taobao warehouse will really throw everything in there, probably in a poly envelope.
The taobao shipping rates are 90yuan for the first .5kg and 48 yuan per every .5 after which is very competitive even after accounting for volumetric weight. Sb ems starts at 186 for the first .5kg and 61y every .5kg after. Of course rates and terms are subject to change with the times.
I had a package that came in at 277g when I measured it at home but I was charged for 1.6kg. After sending in the package images they refunded 144yuan (the true volumetric weight was about .97kg.) Taobao volumetric calculation is lxwxh (cm)/6000. Timeline wise I submitted 8/16 and received 8/28 although I think because it was so light they used epacket/china post because it was not an EMS tracking # big sigh. Still less than 10 days can't complain.
Hope this helps! I'm sure I missed something on this guide so feel free to leave any questions and I will update the post accordingly. Apologies this is very us-centric, I also cannot comment on getting a refund or exchange from sellers before you ship out but there is now english support (albeit a bit wonky) through chat and aliwangwang+google translate can get you pretty far.
Ps: highly recommend using the app too as its easier to get chat messages from the seller. You can screenshot and upload images to Google translate to read the text.
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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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[Econ] uwaaah!~~ senpai, i can't handle the japanese yen. it's too big for me >.<

While Japanese tourists and investors are currently rejoicing at the appreciation of the JPY against most currencies, company executives and METI ministers are readying their tanto and are currently searching for an assistant to decapitate them. Too bad everyone else is getting ready for seppuku too.
I jest, but METI and company executives are (to put it lightly), fucking terrified about the JPY’s newfound mastery in these current times. Although firms, tourists, and investors find it easier than ever to do business overseas, exporters are seething from the recent appreciation of the Yen. In addition, the pegging of SE Asian currencies to the Yen and China’s suspected increase in JPY reserves (although yet to be confirmed) have cemented the JPY as an possible replacement for the USD, something that is very bad for Japan’s export economy.
To combat this, the BOJ has to change course from its conservative, restrictionary monetary policy (enacted to prevent a bubble economy) to a liberal monetary policy. One may ask, doesn’t this increase the probability of a bubble economy forming? Well, the BOJ has calculated that its conservative monetary policies have averted a bubble from forming. As we saw in 2029 and 2030, GDP growth was lower than predicted back in 2025, indicating that investors weren’t as bullish as before. In addition, strict financial regulations ensured that the predatory and dangerous loans of the 80s and early 90s didn’t make a comeback. Asset prices and land values, despite a nominal increase, did not soar to unreasonable heights.
So what is the BOJ doing now?
Inflation
Japanese inflation has been very low the past three decades, using hovering around the 0.5-1% mark. Although inflation has seen a small increase during the 2020s Asian Economic Boom, it is still around 1%. In response to this, the BOJ has set an inflation goal of 2.5% for 2031 and 2032.
The BOJ intends to reach this goal through three methods.
1) Interest and discount rates are to be tempered to 1.50% and 1.75% respectively. This should encourage lending between banks and companies, leading to more liquidity and more spending.
2) Buying back BOJ-issued bonds, focusing on foreign investors first. This will increase the money supply while simultaneously paying back more debt.
3) Quantitative easing increases the money supply and should increase inflation and devaluation of the JPY.
These actions, in addition, to increasing inflation (and in turn stimulating domestic consumption), should help to devalue the JPY. Other measures to devalue the JPY are as follows.
Depreciation of the JPY
As an export-based economy, any appreciation of the JPY is very, very bad for Japan, as one saw during the 1990s. The JPY recently broke the $95 USD mark, with no sign of the appreciation stopping. The BOJ has stated that it intends to block this appreciation of the JPY will all its might, and is targeting a return to the $100 mark. It intends to do by the following methods.
1) Increasing FOREX reserves: Right now the BOJ holds around $2.2 trillion in FOREX, mainly in USD and EUR. Following rumors that China has significantly increased its FOREX reserves (analysts estimate between $500 and $800 billion in new reserves), the BOJ has announced its intentions to follow suit. It has announced an increase in FOREX reserves of $450 billion in USD, EUR, and CNY. ($200 billion in USD, $150 billion in EUR, $100 billion in CNY) This should help depreciate the JPY relative to these currencies and help exporters.
2) Japanese companies who have overseas plants like Toyota, Honda, and Nissan are being encouraged to reinvest USD garnered overseas into Japan. In addition to stimulating the domestic economy, this should also increase FOREX supply in Japan.
Miscellaneous
1) Domestic consumption tax rate is decreased form 8% to 6.8%.
2) Seeking to exploit the capital and investor flight from the US, a new campaign to attract foreign investment and foreign executives to settle in Japan will be launched. Titled “Land of the Rising Profits”, it will showcase the benefits of setting up shop in Japan as an investor.
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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
submitted by GaslightEveryone to u/GaslightEveryone [link] [comments]

Trading economic news

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

How economic news is released

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

How the news affects forex markets

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

Backtesting

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

Make it real

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

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submitted by GiuliettaShop to Popify [link] [comments]

Why is London's FOREX market so much larger than NYC?

According to wikipedia:
"In April 2019, trading in the United Kingdom accounted for 43.1% of the total, making it by far the most important center for foreign exchange trading in the world. Owing to London's dominance in the market, a particular currency's quoted price is usually the London market price. For instance, when the International Monetary Fund calculates the value of its special drawing rights every day, they use the London market prices at noon that day. Trading in the United States accounted for 16.5%, Singapore and Hong Kong account for 7.6% and Japan accounted for 4.5%.[3]"
Wikipedia Page: https://en.wikipedia.org/wiki/Foreign_exchange_market#Market_participants
I would have taught it would be the US, considering NYC is the finance hub of the world's economy.
What would it take, the steps required, for NYC to overtake London as the world hub for forex trading?
submitted by brokenreborn2013 to Forex [link] [comments]

MAME 0.215

MAME 0.215

A wild MAME 0.215 appears! Yes, another month has gone by, and it’s time to check out what’s new. On the arcade side, Taito’s incredibly rare 4-screen top-down racer Super Dead Heat is now playable! Joining its ranks are other rarities, such as the European release of Capcom‘s 19XX: The War Against Destiny, and a bootleg of Jaleco’s P-47 – The Freedom Fighter using a different sound system. We’ve got three newly supported Game & Watch titles: Lion, Manhole, and Spitball Sparky, as well as the crystal screen version of Super Mario Bros. Two new JAKKS Pacific TV games, Capcom 3-in-1 and Disney Princesses, have also been added.
Other improvements include several more protection microcontrollers dumped and emulated, the NCR Decision Mate V working (now including hard disk controllers), graphics fixes for the 68k-based SNK and Alpha Denshi games, and some graphical updates to the Super A'Can driver.
We’ve updated bgfx, adding preliminary Vulkan support. There are some issues we’re aware of, so if you run into issues, check our GitHub issues page to see if it’s already known, and report it if it isn’t. We’ve also improved support for building and running on Linux systems without X11.
You can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

MAME 0.214

MAME 0.214

With the end of September almost here, it’s time to see what goodies MAME 0.214 delivers. This month, we’ve got support for five more Nintendo Game & Watch titles (Fire, Flagman, Helmet, Judge and Vermin), four Chinese computers from the 1980s, and three Motorola CPU evaluation kits. Cassette support has been added or fixed for a number of systems, the Dragon Speech Synthesis module has been emulated, and the Dragon Sound Extension module has been fixed. Acorn Archimedes video, sound and joystick support has been greatly improved.
On the arcade side, remaining issues in Capcom CPS-3 video emulation have been resolved and CD images have been upgraded to CHD version 5, Sega versus cabinet billboard support has been added to relevant games, and long-standing issues with music tempo in Data East games have been worked around.
Of course, you can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

Clones promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

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