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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
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Reduce Output And Price, Now Is The End Of OPEC?

Reduce Output And Price, Now Is The End Of OPEC?

Photo: Internet
Since the outbreak of COVID-19 in 2020, the global economy has entered a recession, with gold soaring, stock markets tumbling, and oil prices plummeting.
Saudi Arabia cut pricing for oil sales to Asia and the U.S. for October shipments, and the reduction exceeded last month.
Global daily oil consumption (total liquid volume) broke the "100 million barrels" mark for the first time in 2019, reaching 10.96 million barrels. It means the global daily consumption is more than 100 million barrels, and the annual consumption is more than 5 billion tons.
Since the outbreak of COVID-19, fuel demand has decreased significantly, while global oil supply has continued to increase.
Global oil consumption has decreased by nearly a quarter due to COVID-19. The global daily oil consumption level in the second quarter of this year was less than 77 million barrels, which is almost 20 years ago.
20th April saw WTI oil prices plunge from $17.85 to -$37.63, more than a 300% drop, the largest one day drop for U.S. crude in history.
The oil prices up and down in history, and various factors impact the oil prices. One of the most critical factors is OPEC.
The Birth of OPEC
The Organization of the Petroleum Exporting Countries (OPEC) is a permanent, intergovernmental Organization created at the Baghdad Conference on September 10–14, 1960, by Iran, Iraq, Kuwait, Saudi Arabia, Venezuela.
Before the OPEC, the Seven Sisters (E Anglo-Iranian Oil Company, Gulf Oil, Royal Dutch Shell, Chevron, ExxonMobil, Socony, Standard Oil Company of New York, and Texaco) controlled the world's oil markets.
In the 1950s, coal was the most critical fuel globally, but oil consumption increased rapidly, and demand continued to grow. In 1959, the United States' Seven Sisters lowered the price of oil produced in Venezuela and the Middle East by 10% to reduce the United States' price.
To counter the U.S. oil monopoly, OPEC was born.
OPEC's 13 members control approximately 30% of global oil supplies and 79.4% of proven reserves. OPEC member nations produce about 42% of the world's crude oil, and OPEC's oil exports account for roughly 60% of the total petroleum traded worldwide.

Photo: OPEC
Impact of OPEC on Oil Prices
Within the OPEC group, Saudi Arabia is the largest crude oil producer in the world and remains the most dominant member of OPEC, with each instance of a cut in oil production by them, resulting in a sharp rise in oil prices, and vice versa.
Additionally, the 'kingdom of Saud' is also the leading exporter of crude oil globally. Since 2000, all historical instances since the 1973 Arab oil embargo indicate that Saudi Arabia has maintained its upper hand in the oil market. It calls the shots in determining crude oil prices by controlling supply.
All major oil price fluctuations in recent history can be clearly attributed to production levels from Saudi Arabia, along with other OPEC nations.
Is it now the end of OPEC?
The success of shale oil and the plunge in oil prices in 2014 are signs that OPEC has declined.
Since 2014, U.S. shale oil has created a boom in domestic crude oil production. Shale oil comprises more than a third of the onshore production of crude oil in the lower 48 states. It drove U.S. oil output from 8.8 million barrels per day in 2014 to a record 12.2 million barrels a day in 2019.
As a result, the United States became the world's largest crude-oil producer.

Photo: EIA

Photo: EIA
Today the U.S., Saudi Arabia, and Russia rank among the top three in world oil production.

Photo: EIA

Photo: EIA

In November 2014, despite the appeals of other OPEC members to cut production, Saudi Arabia suddenly increased production sharply, trying to defeat U.S. shale oil companies through the competitive increase in OPEC member states. But American shale oil survived strongly by borrowing, and it became more efficient, and production costs were greatly reduced.
During this time, Saudi Arabia's economy is declining rapidly. Saudi Arabia had the highest government deficit in history-98 billion U.S. dollars, accounting for 15% of GDP in 2015.
In 2016, Saudi Arabia led OPEC and Russia to reach an OPEC+ production reduction agreement. Since then, oil prices have steadily rebounded. At the same time, Saudi Arabia has begun to consider taking advantage of high oil prices to list Saudi Aramco to ease domestic financial difficulties.
During this period, OPEC +'s reduction in production has rescued U.S. shale oil again. The production capacity of shale oil has increased sharply by 4 million barrels per day, surpassing Saudi Arabia, and Russia.
So far, the OPEC structure and cohesion continues to divide and elude.
On 8th March 2020, Saudi Arabia initiated a price war with Russia, facilitating a 65% quarterly fall in the price of oil. The price war was triggered by a break-up in dialogue between the Organization of the Petroleum Exporting Countries (OPEC) and Russia over proposed oil-production cuts in the midst of the COVID-19 pandemic. Russia walked out of the agreement, leading to the fall of the OPEC+ alliance.
While past oil shocks have been driven by either supply or demand, the price collapse of 2020 is highly unusual in oil market history: It results from a massive demand shock and a huge supply overhang at the same time.


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Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Wall Street Week Ahead for the trading week beginning May 27th, 2019

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market this past week, and are ready for the new holiday-shortened trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning May 27th, 2019.

Trade and the economy have become the new roller coaster for markets - (Source)

Trade headlines could be a big factor for markets in the week ahead, but investors will also be attuned to fresh inflation data and moves in the bond market, which is flashing new worries about the economy.
Stocks were on a roller coaster ride in the past week, as markets reacted to worsening trade tensions and concerns that negotiations could be prolonged, causing pain for the global economy. But the bond market’s move was perhaps even more dramatic, as yields, which move opposite of price, fell to levels last seen in 2017, and the futures market began to price in three Fed interest rate cuts by the end of next year.
“There’s not a lot of economic data next week, so events hang over us,” said Marc Chandler, chief global strategist at Bannockburn Global Forex. “It’s more about the evolution of old issues than new issues, like trade and Brexit.”
Brexit will continue to be a focus in global markets. U.K. Prime Minister Theresa May stepped aside Friday after failing to get agreement on a plan for the U.K. to leave the European Union. Chandler said investors will be watching the jockeying among candidates hoping to succeed Prime Minister May, with hard line Brexit proponent Boris Johnson expected to seek the job, among others.
As for trade, Chandler said it’s possible that President Donald Trump’s comments that Huawei could be part of a trade deal may be the start of a new approach by the administration to tone down its rhetoric. The telecom giant has been blacklisted by the U.S. and is expected to be denied access to U.S. components for its equipment.
“In some ways, it’s a headline problem. We think of it more as event risk,” said Nadine Terman, CEO and CIO at Solstein Capital. “China thinks in dynasties and U.S. investors seem to think in durations of days and months, so I think we are misunderstanding the duration of their negotiating strategy.”
She said the issues between the two countries go way beyond trade and extend to China’s military aspirations in the South China Sea and its global campaign of influence through the Belt and Road initiative, Chinese President Xi Jinping’s signature program.
“It’s now become more nationalistic, emotional, to say: ‘We’re going against the U.S. and we’ve got to be in it for the long haul.’ I don’t think you have the same emotion here in the U.S. You don’t have the same nationalistic pride to say ‘we have to fight China at all cost,’” she said.
In the past week, Wall Street increasingly began to expect the Trump administration to turn up the pressure on China with another wave of 25% tariffs on the $300 billion or so in goods remaining that have no tariffs. Those tariffs would directly hit American consumer goods and are expected to take a bigger bite out of the economy.
Fears of a trade war hurting global growth and concerns that the U.S. is already beginning to weaken were evident in the bond market. Treasury yields reflected lowered growth expectations. The 10-year hit a low of 2.29% on Thursday and was at 2.32% Friday.
J.P. Morgan economists Friday downgraded their view of the economy, slicing second quarter growth to just 1% from an earlier forecast of 2.25% and first quarter growth of 3.2%. The economists blamed weak U.S. manufacturing data and said risks were signs of weakness in the global economy and also indications that the trade war was hurting business sentiment.
“The concerns the markets have right now are that we’re moving towards a worst case scenario, and that could persist for quite some time,” said Mark Cabana, head of U.S. short rate strategy at Bank of America Merrill Lynch. “If that’s the case, then the market is believing economic data, and the Fed will likely need to respond to that by trying to offset and prevent a recession.”
The most important data point in the coming week will be Friday’s personal consumption expenditures, which includes the PCE deflator inflation data that the Fed monitors. It was at 1.6% year-over-year last month, and is expected to be the same for April, well below the Fed’s target of 2% inflation.
Inflation has become a key focus on Wall Street, particularly after Fed Chair Jerome Powell said low inflation appears to be transitory and not enough of a concern to make the Fed cut interest rates. Powell and other Fed officials have stressed the Fed is pausing in its rate hiking cycle, is monitoring the economy and does not yet know which way it will move next.
Solstein Capital’s Terman said she is watching the PCE inflation report to see if it confirms her view that inflation and the economy will be weaker this summer.
She also expects the markets to be choppy, and by late summer, around its annual Jackson Hole symposium, the Fed could indicate it could cut interest rates.
“People are going to start getting even more concerned this summer about the U.S.,” Terman said.
Terman said she has been positioned for lower inflation and slower GDP growth with key holdings in utilities, REITs, Treasurys and gold.
“What would do well this summer? Staples, utilities, health care, REITs. You want fixed income. You want to be underweight tech, energy, financials and industrials,” she said.
There is also home prices data Tuesday and advanced economic indicators Thursday. That comes in addition to a few earnings reports, including Costco, Ulta Beauty and Dollar General.
Markets will also be watching the outcome of European parliamentary elections, and if there is a strong showing by populists, there could be a negative impact on the euro and risk assets.

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!)

S&P 500 Down Four Straight Day After Memorial Day

Our office will be closed for observance of Memorial Day on Monday, May 27. U.S stock and bond markets will also be closed. As you spend some quality time off with family and friends please take time to commemorate those who have paid the ultimate price while serving in the U.S. military.
For decades the Stock Trader’s Almanac has been tracking and monitoring the market’s performance around holidays. The trading day after Memorial Day has a mixed record going back to 1971. Both S&P 500 and NASDAQ have declined more often than risen on the day, but average performance is still positive. Since 1986, the frequency of gains has improved, and average performance has also risen however, over the last four years S&P 500 has declined. The second trading day after Memorial Day has since more advances than declines, but average performance is negative for NASDAQ. The third day after appears to have the best long- and short-term record combined with solid average performance.
(CLICK HERE FOR THE CHART!)

The Bespoke Report - It's All Relative

Hut, Hut, Cut! With weaker economic data to contend with this week on both a domestic and international basis, plus escalating tensions between the US and China, investors are increasingly pricing in a higher likelihood of rate cuts from the FOMC before the year is out. Through mid-day Friday, the Fed Fund futures market was pricing in over an 85% chance of a rate cut between now and the January 2020 meeting. Those are the kind of odds that would make James Holzhauer say "All in."
(CLICK HERE FOR THE CHART!)

Fed Members Side With “Transitory” Inflation

Investors just got more details on Federal Reserve (Fed) policymakers’ views of inflation.
Minutes of the Fed’s most recent meeting, which ended May 1, showed that “many participants” considered slowing consumer inflation as “transitory,” and agreed that the Fed’s current patient approach should help stoke economic growth and inflation. Policymakers’ optimistic view on inflation runs counter to a growing opinion in financial markets that slowing growth in core personal consumption expenditures (PCE) could warrant lower rates.
Markets think the grace period for a “transitory” excuse has passed, but data show it’s too soon to tell. Another measure of inflation, the Fed Bank of Dallas’s “trimmed mean” PCE measure, points to higher pricing pressures ahead. As shown in the LPL Chart of the Day, the trimmed mean PCE, which has proven to be a less volatile version of core PCE, has hit 2% year-over-year growth for the past several months.
(CLICK HERE FOR THE CHART!)
“It’s tough to make a case for lower rates with over 3% gross domestic product growth, healthy wage growth, and a labor market close to full employment,” said LPL Research Chief Investment Strategist John Lynch. “If consumer inflation picks up, the U.S. economy will be near full employment with healthy inflation across the board, fulfilling the Fed’s dual mandate.”
Of course, much has happened on the global front since the Fed’s last meeting. Trade tensions have flared up again, with the United States raising tariff rates on $200 billion of Chinese imports and threatening to increase rates on the remaining swath of goods. Logically, tariffs should be a catalyst for higher consumer inflation, as higher costs should boost price growth. However, the opposite has happened over the past few months, and there are several factors to consider when thinking about future inflation.
Overall, we don’t see a strong argument for a rate cut right now, and we side with the Fed in thinking consumer inflation could pick up as wage growth accelerates and growth stabilizes. At the very least, it’s becoming more obvious the Fed doesn’t have enough clarity to move policy in either direction.

Another Reason For Bulls To Smile

The S&P 500 Index has officially gained each of the first four months of the year for the first time since 2013. This comes on the heels of the best first quarter since 1998. Six straight months in green has been the best monthly win streak to start a year, and that last happened in 1996.
Starting a year with strength like this historically has been a good sign, even though stocks in May saw a nearly 5% correction.
“Although we wouldn’t be surprised to see continued volatility over the coming months, the good news is a great start to a year has had a funny way of eventually resolving higher,” explained LPL Senior Market Strategist Ryan Detrick. “In fact, the rest of the year has been higher an incredible 14 out of 15 times after the first four months were in the green!”
As our LPL Chart of the Day shows, the S&P 500 returns the rest of the year (final 8 months) have been more than twice as strong as the average year returns—10% versus 4.7%—following four straight monthly gains to kick off a new year. There’s always a catch though, and in this case we’ve seen an average pullback of more than 8% the rest of the year.
(CLICK HERE FOR THE CHART!)

Earnings Season Takeaways

We consider earnings season a success based on the amount of upside to prior estimates generated by S&P 500 Index companies despite several headwinds. Companies handily beat expectations to get first quarter earnings up to flat, as shown in the LPL Chart of the Day.
(CLICK HERE FOR THE CHART!)
When earnings season began in mid-April, consensus estimates called for a 4–5% drop in S&P 500 earnings, according to FactSet data. Beating results by this much is impressive considering persistent trade uncertainty and the drag on overseas profits from a strong U.S. dollar. Also consider that the median stock in the S&P 500 has grown earnings several percentage points faster because a few large companies are dragging down the market-cap-weighted calculation.
Resilient estimates are also encouraging. Since April 15, the 2019 consensus estimate for S&P 500 earnings per share has risen slightly to $168 (a 4% year-over-year increase). We consider that a win given that estimates typically fall during earnings season.
“Escalating trade uncertainty and the threat of more tariffs are huge wild cards for corporate profits,” said LPL Chief Investment Strategist John Lynch. “We are hopeful that significant progress can be made on the trade front next month, when President Trump and China’s President Xi are expected to meet at the G20 summit. A prolonged impasse that lasts through the summer would make mid-single-digit earnings growth difficult to achieve in 2019.”
Our base case remains that we will get a trade deal with China early this summer and consensus expectations for 3–4% earnings growth may prove to be conservative. Earnings are hardly booming, but with a continued economic expansion, low inflation, and low interest rates, we see enough earnings growth ahead to push stocks up to our year-end S&P 500 fair value target of 3,000—though it probably won’t get there in a straight line.

Pre-election Year June: Tech and Small-caps Best

June has shone brighter on NASDAQ stocks over the last 48 years as a rule ranking eighth with a 0.6% average gain, up 26 of 48 years. This contributes to NASDAQ’s “Best Eight Months” which ends in June. June ranks near the bottom on the Dow Jones Industrials just above September since 1950 with an average loss of 0.3%. S&P 500 performs similarly poorly, ranking tenth, but essentially flat (–0.02% average). Small caps also tend to fare well in June. Russell 2000 has averaged 0.6% in the month since 1979.
In pre-election years since 1950, June ranks no better than mid-pack. June is the #8 DJIA month in pre-election years averaging a 0.8% gain with a record of nine advances in seventeen years. For S&P 500, June is #5 with an average gain of 1.2% (10-7 record). Pre-election year June ranks #6 for NASDAQ and #7 for Russell 2000 with average gains of 1.9% and 1.1% respectively. Recent pre-election year Junes in 2015, 2011 and 2007 were troublesome for the market as DJIA, S&P 500 and NASDAQ all declined (Russell 2000 eked out a modest gain in 2015).
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STOCK MARKET VIDEO: Stock Market Analysis Video for May 24th, 2019

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STOCK MARKET VIDEO: ShadowTrader Video Weekly 05.26.19

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Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NIO
  • $MOMO
  • $GOOS
  • $COST
  • $PANW
  • $ZS
  • $OKTA
  • $WDAY
  • $NTNX
  • $ULTA
  • $DKS
  • $VEEV
  • $ANF
  • $BZUN
  • $DG
  • $DLTR
  • $BNS
  • $YY
  • $MRVL
  • $ASND
  • $CSIQ
  • $CPRI
  • $BAH
  • $BURL
  • $VMW
  • $AMWD
  • $KEYS
  • $ZUO
  • $BMO
  • $PLAN
  • $JT
  • $HEI
  • $GPS
  • $NXGN
  • $PVH
  • $QTNT
  • $NM
  • $EXPR
  • $SAFM
  • $BITA
  • $CMCO
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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 5.27.19 Before Market Open:

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NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Monday 5.27.19 After Market Close:

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NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF MEMORIAL DAY!)

Tuesday 5.28.19 Before Market Open:

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Tuesday 5.28.19 After Market Close:

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Wednesday 5.29.19 Before Market Open:

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

Wednesday 5.29.19 After Market Close:

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Thursday 5.30.19 Before Market Open:

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Thursday 5.30.19 After Market Close:

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Friday 5.31.19 Before Market Open:

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Friday 5.31.19 After Market Close:

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

NIO Inc. $3.86

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. Investor sentiment going into the company's earnings release has 47% expecting an earnings beat The company's guidance was for revenue of $202.00 million to $220.00 million. Short interest has increased by 127.4% since the company's last earnings release while the stock has drifted lower by 53.3% from its open following the earnings release. On Friday, May 17, 2019 there was some notable buying of 20,289 contracts of the $4.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 16.5% move on earnings and the stock has averaged a 12.7% move in recent quarters.

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Momo Inc. $26.02

Momo Inc. (MOMO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.54 per share on revenue of $533.07 million and the Earnings Whisper ® number is $0.57 per share. Investor sentiment going into the company's earnings release has 56% expecting an earnings beat The company's guidance was for revenue of $529.00 million to $544.00 million. Consensus estimates are for earnings to decline year-over-year by 21.74% with revenue increasing by 22.51%. Short interest has decreased by 3.1% since the company's last earnings release while the stock has drifted lower by 27.9% from its open following the earnings release to be 25.6% below its 200 day moving average of $34.98. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, May 10, 2019 there was some notable buying of 2,208 contracts of the $30.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 13.3% move on earnings and the stock has averaged a 13.0% move in recent quarters.

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Canada Goose Holdings Inc. $47.89

Canada Goose Holdings Inc. (GOOS) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $0.02 per share on revenue of $118.39 million and the Earnings Whisper ® number is $0.06 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 71.43% with revenue increasing by 19.86%. Short interest has increased by 24.8% since the company's last earnings release while the stock has drifted lower by 19.9% from its open following the earnings release to be 18.7% below its 200 day moving average of $58.93. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 11.1% move on earnings and the stock has averaged a 15.0% move in recent quarters.

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Costco Wholesale Corp. $247.30

Costco Wholesale Corp. (COST) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $1.83 per share on revenue of $34.80 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.65% with revenue increasing by 7.54%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 9.7% from its open following the earnings release to be 9.2% above its 200 day moving average of $226.54. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, May 14, 2019 there was some notable buying of 3,428 contracts of the $250.00 call expiring on Friday, May 31, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 4.0% move in recent quarters.

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Palo Alto Networks, Inc. $216.26

Palo Alto Networks, Inc. (PANW) is confirmed to report earnings at approximately 4:15 PM ET on Wednesday, May 29, 2019. The consensus earnings estimate is $1.25 per share on revenue of $703.44 million and the Earnings Whisper ® number is $1.29 per share. Investor sentiment going into the company's earnings release has 81% expecting an earnings beat The company's guidance was for earnings of $1.23 to $1.25 per share on revenue of $697.00 million to $707.00 million. Consensus estimates are for year-over-year earnings growth of 20.19% with revenue increasing by 24.04%. Short interest has decreased by 8.1% since the company's last earnings release while the stock has drifted lower by 16.2% from its open following the earnings release to be 1.2% above its 200 day moving average of $213.65. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, May 16, 2019 there was some notable buying of 1,160 contracts of the $237.50 call expiring on Friday, June 7, 2019. Option traders are pricing in a 8.4% move on earnings.

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Zscaler, Inc. $73.76

Zscaler, Inc. (ZS) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $0.01 per share on revenue of $74.54 million and the Earnings Whisper ® number is $0.03 per share. Investor sentiment going into the company's earnings release has 77% expecting an earnings beat The company's guidance was for earnings of approximately $0.01 per share on revenue of $74.00 million to $75.00 million. Consensus estimates are for year-over-year earnings growth of 116.67% with revenue increasing by 51.62%. Short interest has decreased by 8.0% since the company's last earnings release while the stock has drifted higher by 28.3% from its open following the earnings release to be 50.6% above its 200 day moving average of $48.98. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, May 20, 2019 there was some notable buying of 1,380 contracts of the $72.50 put expiring on Friday, June 7, 2019. Option traders are pricing in a 13.6% move on earnings and the stock has averaged a 16.4% move in recent quarters.

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Okta, Inc. $109.63

Okta, Inc. (OKTA) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.21 per share on revenue of $116.66 million and the Earnings Whisper ® number is ($0.17) per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat The company's guidance was for a loss of $0.22 to $0.21 per share on revenue of $116.00 million to $117.00 million. Consensus estimates are for earnings to decline year-over-year by 133.33% with revenue increasing by 39.51%. Short interest has increased by 33.4% since the company's last earnings release while the stock has drifted higher by 46.6% from its open following the earnings release to be 48.1% above its 200 day moving average of $74.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, May 21, 2019 there was some notable buying of 1,003 contracts of the $90.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 10.9% move on earnings and the stock has averaged a 8.4% move in recent quarters.

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Workday, Inc. $210.72

Workday, Inc. (WDAY) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, May 28, 2019. The consensus earnings estimate is $0.41 per share on revenue of $814.68 million and the Earnings Whisper ® number is $0.44 per share. Investor sentiment going into the company's earnings release has 71% expecting an earnings beat The company's guidance was for revenue of $812.00 million to $814.00 million. Consensus estimates are for year-over-year earnings growth of 7.89% with revenue increasing by 31.69%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 5.4% from its open following the earnings release to be 27.6% above its 200 day moving average of $165.20. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, May 23, 2019 there was some notable buying of 1,587 contracts of the $235.00 call expiring on Friday, June 21, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 25.2% move in recent quarters.

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Nutanix, Inc. $35.14

Nutanix, Inc. (NTNX) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus estimate is for a loss of $0.60 per share on revenue of $296.48 million and the Earnings Whisper ® number is ($0.58) per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat The company's guidance was for a loss of approximately $0.60 per share on revenue of $290.00 million to $300.00 million. Consensus estimates are for earnings to decline year-over-year by 185.71% with revenue increasing by 2.44%. Short interest has increased by 59.1% since the company's last earnings release while the stock has drifted lower by 4.4% from its open following the earnings release to be 20.5% below its 200 day moving average of $44.18. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, May 15, 2019 there was some notable buying of 5,000 contracts of the $40.00 put expiring on Friday, June 7, 2019. Option traders are pricing in a 15.3% move on earnings and the stock has averaged a 11.3% move in recent quarters.

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ULTA Beauty $335.09

ULTA Beauty (ULTA) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, May 30, 2019. The consensus earnings estimate is $3.06 per share on revenue of $1.74 billion and the Earnings Whisper ® number is $3.10 per share. Investor sentiment going into the company's earnings release has 87% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.35% with revenue increasing by 12.72%. Short interest has increased by 16.3% since the company's last earnings release while the stock has drifted higher by 2.2% from its open following the earnings release to be 14.1% above its 200 day moving average of $293.81. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 7.7% move on earnings and the stock has averaged a 6.7% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming trading week ahead?
I hope you all have a fantastic Memorial Day weekend with family and friends, and a great trading week ahead wallstreetbets! :)
submitted by bigbear0083 to wallstreetbets [link] [comments]

US Venezuela Policy is About Oligarchy, Not Democracy

US Venezuela Policy is About Oligarchy, Not Democracy

The proven oil reserves in Venezuela are recognized as the LARGEST in the world, totaling 297 billion barrels.
While ignoring (and even supporting) the atrocities of authoritarian regimes in places like Saudi Arabia, Bahrain and Uzbekistan, US oligarchs have targeted Venezuela for “regime-change” in the name of “democracy”.
Currently, the US is engaging in economic warfare against Venezuela to foment a coup and remove its democratically elected president Nicolás Maduro.
Without providing solid evidence, our corporate-controlled government and mainstream media portray Maduro as a corrupt, repressive, and illegitimate leader with little to no support.

Ask yourself:

Do I ever see officials from the Venezuelan government appear in corporate news shows to tell THEIR side of the story?
What people DO get to comment on Venezuela and what are their credentials and agenda? Are these people essentially public relations agents for the US-orchestrated coup?
Does corporate news provide me with historical background of US imperialism in Venezuela to put these current events in context?

What Corporate-Controlled Media will NOT Tell You

The CIA was involved in the failed coup against Venezuela's popular leader Hugo Chavez in 2002.
Venezuela is not a strictly socialist country; it has a “mixed” economy - not unlike Norway or other Scandinavian countries.
Venezuela is a DEMOCRACY - unlike US-allies Saudi Arabia, the United Arab Emirates, Qatar, Bahrain, and Kuwait.
In 2012, Jimmy Carter went on record saying:
“As a matter of fact, of the 92 elections that we've monitored, I would say the election process in Venezuela is the best in the world”
The opposition to Maduro knew they were going to lose the last election and so boycotted it in attempt to delegitimize the results.
The US actually tried to dissuade Maduro’s opponents from running!
Maduro invited international observers into the country in 2018 to monitor the last election but the opposition asked the UN not to send observers!
More than 80% of the Venezuelan population had not even HEARD of Juan Guaidó before Trump and the US state proclaimed him the “rightful” president.
Maduro’s approval ratings within his country are on par with opposition-controlled National Assembly. According to an October poll by opposition-aligned pollster Datanalisis, Venezuela's National Assembly, of which Juan Guaidó is president, has a disapproval rating of 70%.
Venezuela WANTS to sell its oil to the US – the US is their largest market and refines a majority of their oil.
US companies Chevron Corp, Halliburton, Schlumberger, Baker Hughes and Weatherford International all have operations in Venezuela, and are allowed to continue to engage in transactions and activities with PDVSA and its joint ventures through July 27.
“No State or group of States has the right to intervene, directly or indirectly, for any reason whatever, in the internal or external affairs of any other State. The foregoing principle prohibits not only armed force but also any other form of interference or attempted threat against the personality of the State or against its political, economic, and cultural elements.” Organization of American States Charter

Why is the US Corporatocracy so Keen to Remove Maduro?

While Venezuela’s economy is not a strictly-state-run economy, its oil industry is nationalized and uses its revenues for the benefit of its citizens (especially the poor).
After years of crippling US sanctions Maduro stepped over a crucial line in October when his government announced that Venezuela was abandoning the US dollar and would be make all future transactions on the Venezuelan exchange market in euro.
Saddam Hussein also went off the dollar in favor of the euro in 2003 – we started dropping bombs on him the next month.
A similar decision by the Gadhafi government in Libya (2011) was quickly followed by a devastating US-orchestrated conflict - culminating in Gadhafi's capture by radical Islamists who sodomized him with a bayonet before killing him. Since then, Libya has gone from Africa's wealthiest country to a truly failed-state complete with a slave trade! To make matters worse, after the collapse of the Libyan government, its military arms were smuggled out of that country and into the hands of ISIS fighters in Iraq and Syria - enabling US-orchestrated chaos in those countries.

Who cares what currency a country uses to trade petroleum?

Answer: US oligarchy

The US dollar is central to US world economic domination.
Like all other modern currencies, it is a fiat currency – backed by no real assets to prop up its value.
In lieu of a “gold standard” we know operate on a de-facto “oil-standard”:
"After the collapse of the Bretton Woods gold standard in the early 1970s, the United States struck a deal with Saudi Arabia to standardize oil prices in dollar terms. Through this deal, the petrodollar system was born, along with a paradigm shift away from pegged exchanged rates and gold-backed currencies to non-backed, floating rate regimes.
The petrodollar system elevated the U.S. dollar to the world's reserve currency and, through this status, the United States enjoys persistent trade deficits and is a global economic hegemony." Investopedia
“The central banking Ponzi scheme requires an ever-increasing base of demand and the immediate silencing of those who would threaten its existence. Perhaps that is what the hurry [was] in removing Gaddafi in particular and those who might have been sympathetic to his monetary idea.” Anthony Wile

US Foreign Policy is about Oligarchy Not Democracy

Since World War II, the US has attempted to over-throw the 52 foreign governments. Aside from a handful of exceptions (China, Cuba, Vietnam, etc.), the US has been successful in the vast majority of these attempts.
US foreign policy is not about democracy – it is about exploiting the world’s resources in the interests of a small, ultra-wealthy global elite.
This exploitation benefits a small percentage of people at the top of the economic pyramid while the costs are born by those at the bottom.

US CIA Coup Playbook:

How to Plunder Resources from Foreign Countries While Pretending to Support Democracy
  1. Find a country with resources you want.
  2. Send in an “Economic Hitman” to offer bribes the country’s leader in the form of personally lucrative business deals. If he accepts the deal, the leader will amass a personal fortune in exchange for "privatizing” the resources you wish to extract.
If the leader will not accept your bribes, begin the regime-change process.
3) Engage in economic warfare by imposing crippling sanctions on the country and blame the ensuing shortages on the leader’s “socialist” policies.
4) Work with right-wing allies inside country to fund and organize an “astroturf” opposition group behind a corporate-friendly puppet.
5) Hire thugs inside country to incite unrest and violence against the government in coordination with your opposition group. Use corporate media to publicize the orchestrated outbursts as popular outrage and paint a picture of a “failed state” mired in corruption and chaos.
6) When the government arrests your thugs, decry the response as the brutal repression. Use corporate-owned media to demonize the target government as a despotic regime while praising your puppet opposition as champions of democracy.
7) Work with right-wing military leaders to organize the overthrow the government (offer them the same business deals the current leader refused).
8) If a military-led coup cannot be organized, create a mercenary army to carry out acts of terrorism against the government and its supporters. Portray the mercenaries as “freedom fighters” and their acts of terrorism as a “civil war”.
9) If the target government has popular and military support and is too well-defended for your mercenaries to over-throw: label the country a “rouge state” and wait for the right time to invade. Meanwhile, continue to wear the country’s government and populace down using steps 3 – 8.
10) Escalate the terror campaign within the country to provoke a military response from the country against the US. If they won’t take the bait , fabricate an attack or threat that you can sell to the US population as justification for an invasion.
11) Once the government is removed, set up your puppet regime to provide the illusion of sovereignty. The regime will facilitate and legitimize your appropriation of the country’s resources under the guise of "free" trade.
12) As you continue to extract the country’s resources, provide intelligence and military support to the puppet regime to suppress popular dissent within the country.
13) Use the demise of the former government as yet another example of the impracticality of “socialism.”
What Can I Do?
Call your senators and representatives to voice your opposition to US regime-change efforts in Venezuela.
https://www.commoncause.org/find-your-representative/
Please share this message with others.
Sources included at: https://link.medium.com/8DiA5xzx4T

‘Venezuela’: Media’s One-Word Rebuttal to the Threat of Socialism

ALAN MACLEOD FEBRUARY 8, 2019
A recent Gallup poll (8/13/18) found that a majority of millennials view socialism favorably, preferring it to capitalism. Democratic socialist Bernie Sanders is the most popular politician in the United States, while new leftist Rep. Alexandria Ocasio-Cortez’s (AOC) policies of higher taxes on the wealthy, free healthcare and public college tuition are highly popular—even among Republican voters (FAIR.org,1/23/19).
Alarmed by the growing threat of progressive policies at home, the establishment has found a one-word weapon to deploy against the rising tide: Venezuela. The trick is to attack any political figure or movement even remotely on the left by claiming they wish to turn the country into a “socialist wasteland” (Fox News, 2/2/19) run by a corrupt dictatorship, leaving its people hungry and devastated.
Leading the charge have been Fox News and other conservative outlets. One Fox opinion piece (1/25/19) claimed that Americans should be “absolutely disgusted” by the “fraud” of Bernie Sanders and Democrats like Alexandria Ocasio-Cortez, Elizabeth Warren and Cory Booker, as they “continue to promote a system that is causing mass starvation and the collapse of a country,” warning that is exactly what their failed socialist policies would bring to the US. (Back in the real world, while Sanders and Ocasio-Cortez identify as socialists, Warren is a self-described capitalist, and Booker is noted for his ties to Wall Street, whose support for his presidential bid he has reportedly been soliciting.) A second Fox Newsarticle (1/27/19) continues in the same vein, warning that, “At the heart of Venezuela’s collapse is a laundry list of socialist policies that have decimated its economy.”
The Wall Street Journal (1/28/19) describes calls for negotiations in Venezuela as “siding with the dictator.”
In an article entitled “Bernie Sanders, Jeremy Corbyn and the Starving Children of Venezuela,” the Washington Examiner (6/15/17) warned its readers to “beware the socialist utopia,” describing it as a dystopia where children go hungry thanks to socialism. The Wall Street Journal (1/28/19) recently condemned Sanders for his support of a “dictator,” despite the fact Bernie has strongly criticized Venezuelan President Nicolás Maduro, and dismissed Maduro’s predecessor, Hugo Chavez, as a “dead Communist dictator” (Reuters, 6/1/16).
More supposedly centrist publications have continued this line of attack. The New York Times’ Bret Stephens (1/25/19) argued: “Venezuela is a socialist catastrophe. In the age of AOC, the lesson must be learned again”—namely, that “socialism never works,” as “20 years of socialism” has led to “the ruin of a nation.” The Miami Herald(2/1/19) cast shame on Sanders and AOC for arguing for socialism in the face of such overwhelming evidence against it, describing the left’s refusal to back self-appointed president Juan Guaidó, someone whom less than 20 percent of Venezuelans had even heard of, let alone voted for, as “morally repugnant.”
This useful weapon to be used against the left can only be sustained by withholding a great number of key facts—chief among them, the US role in Venezuela’s devastation. US sanctions, according to the Venezuelan opposition’s economics czar, are responsible for a halving of the country’s oil output (FAIR.org, 12/17/18). The UN Human Rights Council has formally condemned the US and discussed reparations to be paid, with one UN special rapporteur describing Trump’s sanctions as a possible “crime against humanity” (London Independent, 1/26/19). This has not been reported by any the New York Times, Washington Post, CNN or any other national US “resistance” news outlet, which have been only too quick to support Trump’s regime change plans (FAIR.org, 1/25/19).
Likewise, the local US-backed opposition’s role in the economic crisis is barely mentioned. The opposition, which controls much of the country’s food supply, has officially accepted responsibility for conducting an “economic war” by withholding food and other key goods.
For example, the monolithic Empresas Polar controls the majority of the flour production and distribution crucial for making arepa cornbread, Venezuela’s staple food. Polar’s chair is Leopoldo Lopez, national coordinator of Juan Guaidó’s Popular Will party, while its president is Lorenzo Mendoza, who considered running for president against Maduro in the 2018 elections that caused pandemonium in the media (FAIR.org, 5/23/18).
Conspicuously, it’s the products that Polar has a near-monopoly in that are often in shortest supply. This is hardly a secret, but never mentioned in the copious stories (CNN, 5/14/14, Bloomberg, 3/16/17, Washington Post, 5/22/17, NPR, 4/7/17) focusing on bread lines in the country.
Also rarely commented on was the fact that multiple international election observer missions declared the 2018 elections free and fair, and that Venezuelan government spending as a proportion of GDP (often considered a barometer of socialism) is actually lower than the US’s, and far lower than most of Europe’s, according to the conservative Heritage Foundation.
The London Daily Express (2/3/19) demonstrates that redbaiting works equally well on either side of the Atlantic.
Regardless of these bothersome facts, the media has continued to present Venezuela’s supposedly socialist dictatorship as solely responsible for its crisis as a warning to any progressives who get the wrong idea. So useful is this tool that it is being used to attack progressive movements around the world. The Daily Express (2/3/19) and Daily Mail (2/3/19) condemned UK Labour Party leader Jeremy Corbyn for his “defense” of a “dictator,” while the Daily Telegraph(2/3/19) warned that the catastrophe of Venezuela is Labour’s blueprint for Britain. Meanwhile, the Greek leftist party Syriza’s support for Maduro (the official position of three-quarters of UN member states) was condemned as “shameful” (London Independent, 1/29/19).
“Venezuela” is also used as a one-word response to shut down debate and counter any progressive idea or thought. While the panel on ABC’s The View (7/23/18) discussed progressive legislation like Medicare for All and immigration reform, conservative regular Meghan McCain responding by invoking Venezuela: “They’re starving to death” she explained, leaving the other panelists bemused.
President Trump has also used it. In response to criticism from Senator Elizabeth Warren over his “Pocahontas” jibe, he replied that she would “make our country into Venezuela” (Reuters, 10/15/18).
The weapon’s effectiveness can only be sustained through a media in lockstep with the government’s regime-change goals. That the media is fixated on the travails of a relatively small and unimportant country in America’s “backyard,” and that the picture of Venezuela is so shallow, is not a mistake. Rather, the simplistic narrative of a socialist dictatorship starving its own people provides great utility as a weapon for the establishment to beat back the domestic “threat” of socialism, by associating movements and figures such as Bernie Sanders, Alexandria Ocasio-Cortez and Jeremy Corbyn with an evil caricature they have carefully crafted.

Corporate Propaganda Blitz Against Venezuela’s Elected President: MSM Will Not Let Facts Interfere With Coup Agenda

Facts Don’t Interfere With Propaganda Blitz Against Venezuela’s Elected President Joe Emersberger
Guaidó, anointed by Trump and a new Iraq-style Coalition of the Willing, did not even run in Venezuela’s May 2018 presidential election. In fact, shortly before the election, Guaidó was not even mentioned by the opposition-aligned pollster Datanálisis when it published approval ratings of various prominent opposition leaders. Henri Falcón, who actually did run in the election (defying US threats against him) was claimed by the pollster to basically be in a statistical tie for most popular among them. It is remarkable to see the Western media dismiss this election as “fraudulent,” without even attempting to show that it was “stolen“ from Falcón. Perhaps that’s because it so clearly wasn’t stolen.
Graph: Approval Ratings of Main Venezuelan Leaders Nov 2016 - July 2018 Data from the opposition-aligned pollsters in Venezuela (via Torino Capital) indicates that Henri Falcón was the most popular of the major opposition figures at the time of the May 2018 presidential election. Nicolás Maduro won the election due to widespread opposition boycotting and votes drawn by another opposition candidate, Javier Bertucci.
The constitutional argument that Trump and his accomplices have used to “recognize” Guaidó rests on the preposterous claim that Maduro has “abandoned” the presidency by soundly beating Falcón in the election. Caracas-based journalist Lucas Koerner took apart that argument in more detail.
What about the McClatchy-owned Miami Herald's claim that Maduro “continues to reject international aid”? In November 2018, following a public appeal by Maduro, the UN did authorize emergency aid for Venezuela. It was even reported by Reuters (11/26/18), whose headlines have often broadcast the news agency’s contempt for Maduro’s government.
It’s not unusual for Western media to ignore facts they have themselves reported when a major “propaganda blitz” by Washington is underway against a government. For example, it was generally reported accurately in 1998 that UN weapons inspectors were withdrawn from Iraq ahead of air strikes ordered by Bill Clinton, not expelled by Iraq’s government. But by 2002, it became a staple of pro-war propaganda that Iraq had expelled weapons inspectors (Extra! Update, 10/02).
And, incidentally, when a Venezuelan NGO requested aid from the UN-linked Global Fund in 2017, it was turned down. Setting aside how effective foreign aid is at all (the example of Haiti hardly makes a great case for it), it is supposed to be distributed based on relative need, not based on how badly the US government wants somebody overthrown.
But the potential for “aid” to alleviate Venezuela’s crisis is negligible compared to the destructive impact of US economic sanctions. Near the end of the Miami Herald article, author Jim Wyss cited an estimate from the thoroughly demonized Venezuelan government that US sanctions have cost it $30 billion, with no time period specified for that estimate. Again, this calls to mind the run-up to the Iraq invasion, when completely factual statements that Iraq had no WMDs were attributed to the discredited Iraqi government. Quoting Iraqi denials supposedly balanced the lies spread in the media by US officials like John Bolton, who now leads the charge to overthrow Maduro. Wyss could have cited economists independent of the Maduro government on the impact of US sanctions—like US economist Mark Weisbrot, or the emphatically anti-Maduro Venezuelan economist Francisco Rodríguez.
Illegal US sanctions were first imposed in 2015 under a fraudulent “state of emergency” declared by Obama, and subsequently extended by Trump. The revenue lost to Venezuela’s government due to US economic sanctions since August 2017, when the impact became very easy to quantify, is by now well over $6 billion. That’s enormous in an economy that was only able to import about $11 billion of goods in 2018, and needs about $2 billion per year in medicines. Trump’s “recognition” of Guaidó as “interim president” was the pretext for making the already devastating sanctions much worse. Last month, Francisco Rodríguez revised his projection for the change in Venezuela’s real GDP in 2019, from an 11 percent contraction to 26 percent, after the intensified sanctions were announced.
The $20 million in US “aid” that Wyss is outraged Maduro won’t let in is a rounding error compared to the billions already lost from Trump’s sanctions.
Former US Ambassador to Venezuela William Brownfield, who pressed for more sanctions on Venezuela, dispensed with the standard “humanitarian” cover that US officials have offered for them (Intercept, 2/10/19):
And if we can do something that will bring that end quicker, we probably should do it, but we should do it understanding that it’s going to have an impact on millions and millions of people who are already having great difficulty finding enough to eat, getting themselves cured when they get sick, or finding clothes to put on their children before they go off to school. We don’t get to do this and pretend as though it has no impact there. We have to make the hard decision—the desired outcome justifies this fairly severe punishment.
How does this gruesome candor get missed by reporters like Wyss, and go unreported in his article?
Speaking of “severe punishment,” if the names John Bolton and Elliott Abrams don’t immediately call to mind the punishment they should be receiving for crimes against humanity, it illustrates how well the Western propaganda system functions. Bolton, a prime facilitator of the Iraq War, recently suggested that Maduro could be sent to a US-run torture camp in Cuba. Abrams played a key role in keeping US support flowing to mass murderers and torturers in Central America during the 1980s. Also significant that Abrams, brought in by Trump to help oust Maduro, used “humanitarian aid” as cover to supply weapons to the US-backed Contra terrorists in Nicaragua.
In the Miami Herald article, the use of US “aid” for military purposes is presented as another allegation made by the vilified Venezuelan president: “Maduro has repeatedly said the aid is cover for a military invasion and has ordered his armed forces not to let it in, even as food and medicine shortages sweep the country.”
Venezuela Accuses U.S. of Secretly Shipping Arms After Weapons Found on Plane with Possible CIA Ties | Democracy Now!
Calling for international aid and being democratically elected will do as little to protect Maduro’s government from US aggression as being disarmed of WMD did to prevent Iraq from being invaded—unless there is much more pushback from the US public against a lethal propaganda system.

When Is a Democracy not a Democracy? When It’s Venezuela and the US is Pushing Regime Change. Venezuela has as much right to call itself a democracy as does the United States. Until that is understood by enough people, the Trump administration will continue to devastate Venezuela’s economy with illegal sanctions and push it towards civil war.
Suggested Reading:
UN Rapporteur: US Sanctions Cause Death in Venezuela
Guaido is playing it fast and loose with the Bolivarian Constitution to justify a dictatorship
Trump’s Economic Sanctions Have Cost Venezuela About $6bn Since August 2017
How could Venezuela's president 'steal' the 2018 election from an unknown who didn't run?
In other news...
The Largest Protest Ever Was 15 Years Ago. The Iraq War Isn’t Over. What Happened?
submitted by roy_batty3000 to EndlessWar [link] [comments]

Which are your Top 5 favourite coins out of the Top 100? An analysis.

I am putting together my investment portfolio for 2018 and made a complete summary of the current Top 100. Interestingly, I noticed that all coins can be categorized into 12 markets. Which markets do you think will play the biggest role in the coming year?
Here is a complete overview of all coins in an excel sheet including name, market, TPS, risk profile, time since launch (negative numbers mean that they are launching that many months in the future) and market cap. You can also sort by all of these fields of course. Coins written in bold are the strongest contenders within their market either due to having the best technology or having a small market cap and still excellent technology and potential. https://docs.google.com/spreadsheets/d/1s8PHcNvvjuy848q18py_CGcu8elRGQAUIf86EYh4QZo/edit#gid=0
The 12 markets are
  1. Currency 13 coins
  2. Platform 25 coins
  3. Ecosystem 9 coins
  4. Privacy 10 coins
  5. Currency Exchange Tool 8 coins
  6. Gaming & Gambling 5 coins
  7. Misc 15 coins
  8. Social Network 4 coins
  9. Fee Token 3 coins
  10. Decentralized Data Storage 4 coins
  11. Cloud Computing 3 coins
  12. Stable Coin 2 coins
Before we look at the individual markets, we need to take a look of the overall market and its biggest issue scalability first:
Cryptocurrencies aim to be a decentralized currency that can be used worldwide. Its goal is to replace dollar, Euro, Yen, all FIAT currencies worldwide. The coin that will achieve that will be worth several trillion dollars.
Bitcoin can only process 7 transactions per second (TPS). In order to replace all FIAT, it would need to perform at at least VISA levels, which usually processes around 3,000 TPS, up to 25,000 TPS during peak times and a maximum of 64,000 TPS. That means that this cryptocurrency would need to be able to perform at least several thousand TPS. However, a ground breaking technology should not look at current technology to set a goal for its use, i.e. estimating the number of emails sent in 1990 based on the number of faxes sent wasn’t a good estimate.
For that reason, 10,000 TPS is the absolute baseline for a cryptocurrency that wants to replace FIAT. This brings me to IOTA, which wants to connect all 80 billion IoT devices that are expected to exist by 2025, which constantly communicate with each other, creating 80 billion or more transactions per second. This is the benchmark that cryptocurrencies should be aiming for. Currently, 8 billion devices are connected to the Internet.
With its Lightning network recently launched, Bitcoin is realistically looking at 50,000 possible soon. Other notable cryptocurrencies besides IOTA and Bitcoin are Nano with 7,000 TPS already tested, Dash with several billion TPS possible with Masternodes, Neo, LISK and RHOC with 100,000 TPS by 2020, Ripple with 50,000 TPS, Ethereum with 10,000 with Sharding.
However, it needs to be said that scalability usually goes at the cost of decentralization and security. So, it needs to be seen, which of these technologies can prove itself resilient and performant.
Without further ado, here are the coins of the first market

Market 1 - Currency:

  1. Bitcoin: 1st generation blockchain with currently bad scalability currently, though the implementation of the Lightning Network looks promising and could alleviate most scalability concerns, scalability and high energy use.
  2. Ripple: Centralized currency that might become very successful due to tight involvement with banks and cross-border payments for financial institutions; banks and companies like Western Union and Moneygram (who they are currently working with) as customers customers. However, it seems they are aiming for more decentralization now.https://ripple.com/dev-blog/decentralization-strategy-update/. Has high TPS due to Proof of Correctness algorithm.
  3. Bitcoin Cash: Bitcoin fork with the difference of having an 8 times bigger block size, making it 8 times more scalable than Bitcoin currently. Further block size increases are planned. Only significant difference is bigger block size while big blocks lead to further problems that don't seem to do well beyond a few thousand TPS. Opponents to a block size argue that increasing the block size limit is unimaginative, offers only temporary relief, and damages decentralization by increasing costs of participation. In order to preserve decentralization, system requirements to participate should be kept low. To understand this, consider an extreme example: very big blocks (1GB+) would require data center level resources to validate the blockchain. This would preclude all but the wealthiest individuals from participating.Community seems more open than Bitcoin's though.
  4. Litecoin : Little brother of Bitcoin. Bitcoin fork with different mining algorithm but not much else.Copies everything that Bitcoin does pretty much. Lack of real innovation.
  5. Dash: Dash (Digital Cash) is a fork of Bitcoin and focuses on user ease. It has very fast transactions within seconds, low fees and uses Proof of Service from Masternodes for consensus. They are currently building a system called Evolution which will allow users to send money using usernames and merchants will find it easy to integrate Dash using the API. You could say Dash is trying to be a PayPal of cryptocurrencies. Currently, cryptocurrencies must choose between decentralization, speed, scalability and can pick only 2. With Masternodes, Dash picked speed and scalability at some cost of decentralization, since with Masternodes the voting power is shifted towards Masternodes, which are run by Dash users who own the most Dash.
  6. IOTA: 3rd generation blockchain called Tangle, which has a high scalability, no fees and instant transactions. IOTA aims to be the connective layer between all 80 billion IOT devices that are expected to be connected to the Internet in 2025, possibly creating 80 billion transactions per second or 800 billion TPS, who knows. However, it needs to be seen if the Tangle can keep up with this scalability and iron out its security issues that have not yet been completely resolved.
  7. Nano: 3rd generation blockchain called Block Lattice with high scalability, no fees and instant transactions. Unlike IOTA, Nano only wants to be a payment processor and nothing else, for now at least. With Nano, every user has their own blockchain and has to perform a small amount of computing for each transaction, which makes Nano perform at 300 TPS with no problems and 7,000 TPS have also been tested successfully. Very promising 3rd gen technology and strong focus on only being the fastest currency without trying to be everything.
  8. Decred: As mining operations have grown, Bitcoin’s decision-making process has become more centralized, with the largest mining companies holding large amounts of power over the Bitcoin improvement process. Decred focuses heavily on decentralization with their PoW Pos hybrid governance system to become what Bitcoin was set out to be. They will soon implement the Lightning Network to scale up. While there do not seem to be more differences to Bitcoin besides the novel hybrid consensus algorithm, which Ethereum, Aeternity and Bitcoin Atom are also implementing, the welcoming and positive Decred community and professoinal team add another level of potential to the coin.
  9. Aeternity: We’ve seen recently, that it’s difficult to scale the execution of smart contracts on the blockchain. Crypto Kitties is a great example. Something as simple as creating and trading unique assets on Ethereum bogged the network down when transaction volume soared. Ethereum and Zilliqa address this problem with Sharding. Aeternity focuses on increasing the scalability of smart contracts and dapps by moving smart contracts off-chain. Instead of running on the blockchain, smart contracts on Aeternity run in private state channels between the parties involved in the contracts. State channels are lines of communication between parties in a smart contract. They don’t touch the blockchain unless they need to for adjudication or transfer of value. Because they’re off-chain, state channel contracts can operate much more efficiently. They don’t need to pay the network for every time they compute and can also operate with greater privacy. An important aspect of smart contract and dapp development is access to outside data sources. This could mean checking the weather in London, score of a football game, or price of gold. Oracles provide access to data hosted outside the blockchain. In many blockchain projects, oracles represent a security risk and potential point of failure, since they tend to be singular, centralized data streams. Aeternity proposes decentralizing oracles with their oracle machine. Doing so would make outside data immutable and unchangeable once it reaches Aeternity’s blockchain. Of course, the data source could still be hacked, so Aeternity implements a prediction market where users can bet on the accuracy and honesty of incoming data from various oracles.It also uses prediction markets for various voting and verification purposes within the platform. Aeternity’s network runs on on a hybrid of proof of work and proof of stake. Founded by a long-time crypto-enthusiast and early colleague of Vitalik Buterin, Yanislav Malahov. Promising concept though not product yet
  10. Bitcoin Atom: Atomic Swaps and hybrid consenus. This looks like the only Bitcoin clone that actually is looking to innovate next to Bitcoin Cash.
  11. Dogecoin: Litecoin fork, fantastic community, though lagging behind a bit in technology.
  12. Bitcoin Gold: A bit better security than bitcoin through ASIC resistant algorithm, but that's it. Not that interesting.
  13. Digibyte: Digibyte's PoS blockchain is spread over a 100,000+ servers, phones, computers, and nodes across the globe, aiming for the ultimate level of decentralization. DigiByte rebalances the load between the five mining algorithms by adjusting the difficulty of each so one algorithm doesn’t become dominant. The algorithm's asymmetric difficulty has gained notoriety and been deployed in many other blockchains.DigiByte’s adoption over the past four years has been slow. It’s still a relatively obscure currency compared its competitors. The DigiByte website offers a lot of great marketing copy and buzzwords. However, there’s not much technical information about what they have planned for the future. You could say Digibyte is like Bitcoin, but with shorter blocktimes and a multi-algorithm. However, that's not really a difference big enough to truly set themselves apart from Bitcoin, since these technologies could be implemented by any blockchain without much difficulty. Their decentralization is probably their strongest asset, however, this also change quickly if the currency takes off and big miners decide to go into Digibyte.
  14. Bitcoin Diamond Asic resistant Bitcoin and Copycat

Market 2 - Platform

Most of the cryptos here have smart contracts and allow dapps (Decentralized apps) to be build on their platform and to use their token as an exchange of value between dapp services.
  1. Ethereum: 2nd generation blockchain that allows the use of smart contracts. Bad scalability currently, though this concern could be alleviated by the soon to be implemented Lightning Network aka Plasma and its Sharding concept.
  2. EOS: Promising technology that wants to be able do everything, from smart contracts like Ethereum, scalability similar to Nano with 1000 tx/second + near instant transactions and zero fees, to also wanting to be a platform for dapps. However, EOS doesn't have a product yet and everything is just promises still. Highly overvalued right now. However, there are lots of red flags, have dumped $500 million Ether over the last 2 months and possibly bought back EOS to increase the size of their ICO, which has been going on for over a year and has raised several billion dollars. All in all, their market cap is way too high for that and not even having a product.
  3. Cardano: Similar to Ethereum/EOS, however, only promises made with no delivery yet, highly overrated right now. Interesting concept though. Market cap way too high for not even having a product. Somewhat promising technology.
  4. VeChain: Singapore-based project that’s building a business enterprise platform and inventory tracking system. Examples are verifying genuine luxury goods and food supply chains. Has one of the strongest communities in the crypto world. Most hyped token of all, with merit though.
  5. Neo: Neo is a platform, similar to Eth, but more extensive, allowing dapps and smart contracts, but with a different smart contract gas system, consensus mechanism (PoS vs. dBfT), governance model, fixed vs unfixed supply, expensive contracts vs nearly free contracts, different ideologies for real world adoption. There are currently only 9 nodes, each of which are being run by a company/entity hand selected by the NEO council (most of which are located in china) and are under contract. This means that although the locations of the nodes may differ, ultimately the neo council can bring them down due to their legal contracts. In fact this has been done in the past when the neo council was moving 50 million neo that had been locked up. Also dbft (or neo's implmentation of it) has failed underload causing network outages during major icos. The first step in decentralization is that the NEO Counsel will select trusted nodes (Universities, business partners, etc.) and slowly become less centralized that way. The final step in decentralization will be allowing NEO holders to vote for new nodes, similar to a DPoS system (ARK/EOS/LISK). NEO has a regulation/government friendly ideology. Finally they are trying to work undewith the Chinese government in regards to regulations. If for some reason they wanted it shut down, they could just shut it down.
  6. Stellar: PoS system, similar goals as Ripple, but more of a platform than only a currency. 80% of Stellar are owned by Stellar.org still, making the currency centralized.
  7. Ethereum classic: Original Ethereum that decided not to fork after a hack. The Ethereum that we know is its fork. Uninteresing, because it has a lot of less resources than Ethereum now and a lot less community support.
  8. Ziliqa: Zilliqa is building a new way of sharding. 2400 tpx already tested, 10,000 tps soon possible by being linearly scalable with the number of nodes. That means, the more nodes, the faster the network gets. They are looking at implementing privacy as well.
  9. QTUM: Enables Smart contracts on the Bitcoin blockchain. Useful.
  10. Icon: Korean ethereum. Decentralized application platform that's building communities in partnership with banks, insurance providers, hospitals, and universities. Focused on ID verification and payments. No big differentiators to the other 20 Ethereums, except that is has a product. That is a plus. Maybe cheap alternative to Ethereum.
  11. LISK: Lisk's difference to other BaaS is that side chains are independent to the main chain and have to have their own nodes. Similar to neo whole allows dapps to deploy their blockchain to. However, Lisk is currently somewhat centralized with a small group of members owning more than 50% of the delegated positions. Lisk plans to change the consensus algorithm for that reason in the near future.
  12. Rchain: Similar to Ethereum with smart contract, though much more scalable at an expected 40,000 TPS and possible 100,000 TPS. Not launched yet. No product launched yet, though promising technology. Not overvalued, probably at the right price right now.
  13. ARDR: Similar to Lisk. Ardor is a public blockchain platform that will allow people to utilize the blockchain technology of Nxt through the use of child chains. A child chain, which is a ‘light’ blockchain that can be customized to a certain extent, is designed to allow easy self-deploy for your own blockchain. Nxt claims that users will "not need to worry" about security, as that part is now handled by the main chain (Ardor). This is the chief innovation of Ardor. Ardor was evolved from NXT by the same company. NEM started as a NXT clone.
  14. Ontology: Similar to Neo. Interesting coin
  15. Bytom: Bytom is an interactive protocol of multiple byte assets. Heterogeneous byte-assets (indigenous digital currency, digital assets) that operate in different forms on the Bytom Blockchain and atomic assets (warrants, securities, dividends, bonds, intelligence information, forecasting information and other information that exist in the physical world) can be registered, exchanged, gambled and engaged in other more complicated and contract-based interoperations via Bytom.
  16. Nxt: Similar to Lisk
  17. Stratis: Different to LISK, Stratis will allow businesses and organizations to create their own blockchain according to their own needs, but secured on the parent Stratis chain. Stratis’s simple interface will allow organizations to quickly and easily deploy and/or test blockchain functionality of the Ethereum, BitShares, BitCoin, Lisk and Stratis environements.
  18. Status: Status provides access to all of Ethereum’s decentralized applications (dapps) through an app on your smartphone. It opens the door to mass adoption of Ethereum dapps by targeting the fastest growing computer segment in the world – smartphone users.16. Ark: Fork of Lisk that focuses on a smaller feature set. Ark wallets can only vote for one delegate at a time which forces delegates to compete against each other and makes cartel formations incredibly hard, if not impossible.
  19. Neblio: Similar to Neo, but 30x smaller market cap.
  20. NEM: Is similar to Neo No marketing team, very high market cap for little clarilty what they do.
  21. Bancor: Bancor is a Decentralized Liquidity Network that allows you to hold any Ethereum token and convert it to any other token in the network, with no counter party, at an automatically calculated price, using a simple web wallet.
  22. Dragonchain: The Purpose of DragonChain is to help companies quickly and easily incorporate blockchain into their business applications. Many companies might be interested in making this transition because of the benefits associated with serving clients over a blockchain – increased efficiency and security for transactions, a reduction of costs from eliminating potential fraud and scams, etc.
  23. Skycoin: Transactions with zero fees that take apparently two seconds, unlimited transaction rate, no need for miners and block rewards, low power usage, all of the usual cryptocurrency technical vulnerabilities fixed, a consensus mechanism superior to anything that exists, resistant to all conceivable threats (government censorship, community infighting, cybenucleaconventional warfare, etc). Skycoin has their own consensus algorithm known as Obelisk written and published academically by an early developer of Ethereum. Obelisk is a non-energy intensive consensus algorithm based on a concept called ‘web of trust dynamics’ which is completely different to PoW, PoS, and their derivatives. Skywire, the flagship application of Skycoin, has the ambitious goal of decentralizing the internet at the hardware level and is about to begin the testnet in April. However, this is just one of the many facets of the Skycoin ecosystem. Skywire will not only provide decentralized bandwidth but also storage and computation, completing the holy trinity of commodities essential for the new internet. Skycion a smear campaign launched against it, though they seem legit and reliable. Thus, they are probably undervalued.

Market 3 - Ecosystem

The 3rd market with 11 coins is comprised of ecosystem coins, which aim to strengthen the ease of use within the crypto space through decentralized exchanges, open standards for apps and more
  1. Nebulas: Similar to how Google indexes webpages Nebulas will index blockchain projects, smart contracts & data using the Nebulas rank algorithm that sifts & sorts the data. Developers rewarded NAS to develop & deploy on NAS chain. Nebulas calls this developer incentive protocol – basically rewards are issued based on how often dapp/contract etc. is used, the more the better the rewards and Proof of devotion. Works like DPoS except the best, most economically incentivised developers (Bookkeeppers) get the forging spots. Ensuring brains stay with the project (Cross between PoI & PoS). 2,400 TPS+, DAG used to solve the inter-transaction dependencies in the PEE (Parallel Execution Environment) feature, first crypto Wallet that supports the Lightening Network.
  2. Waves: Decentralized exchange and crowdfunding platform. Let’s companies and projects to issue and manage their own digital coin tokens to raise money.
  3. Salt: Leveraging blockchain assets to secure cash loands. Plans to offer cash loans in traditional currencies, backed by your cryptocurrency assets. Allows lenders worldwide to skip credit checks for easier access to affordable loans.
  4. CHAINLINK: ChainLink is a decentralized oracle service, the first of its kind. Oracles are defined as an ‘agent’ that finds and verifies real-world occurrences and submits this information to a blockchain to be used in smart contracts.With ChainLink, smart contract users can use the network’s oracles to retrieve data from off-chain application program interfaces (APIs), data pools, and other resources and integrate them into the blockchain and smart contracts. Basically, ChainLink takes information that is external to blockchain applications and puts it on-chain. The difference to Aeternity is that Chainlink deploys the smart contracts on the Ethereum blockchain while Aeternity has its own chain.
  5. WTC: Combines blockchain with IoT to create a management system for supply chains Interesting
  6. Ethos unifyies all cryptos. Ethos is building a multi-cryptocurrency phone wallet. The team is also building an investment diversification tool and a social network
  7. Aion: Aion is the token that pays for services on the Aeternity platform.
  8. USDT: is no cryptocurrency really, but a replacement for dollar for trading After months of asking for proof of dollar backing, still no response from Tether.

Market 4 - Privacy

The 4th market are privacy coins. As you might know, Bitcoin is not anonymous. If the IRS or any other party asks an exchange who is the identity behind a specific Bitcoin address, they know who you are and can track back almost all of the Bitcoin transactions you have ever made and all your account balances. Privacy coins aim to prevent exactly that through address fungability, which changes addresses constantly, IP obfuscation and more. There are 2 types of privacy coins, one with completely privacy and one with optional privacy. Optional Privacy coins like Dash and Nav have the advantage of more user friendliness over completely privacy coins such as Monero and Enigma.
  1. Monero: Currently most popular privacy coin, though with a very high market cap. Since their privacy is all on chain, all prior transactions would be deanonymized if their protocol is ever cracked. This requires a quantum computing attack though. PIVX is better in that regard.
  2. Zcash: A decentralized and open-source cryptocurrency that hide the sender, recipient, and value of transactions. Offers users the option to make transactions public later for auditing. Decent privacy coin, though no default privacy
  3. Verge: Calls itself privacy coin without providing private transactions, multiple problems over the last weeks has a toxic community, and way too much hype for what they have.
  4. Bytecoin: First privacy-focused cryptocurrency with anonymous transactions. Bytecoin’s code was later adapted to create Monero, the more well-known anonymous cryptocurrency. Has several scam accusations, 80% pre-mine, bad devs, bad tech
  5. Bitcoin Private: A merge fork of Bitcoin and Zclassic with Zclassic being a fork of Zcash with the difference of a lack of a founders fee required to mine a valid block. This promotes a fair distribution, preventing centralized coin ownership and control. Bitcoin private offers the optional ability to keep the sender, receiver, and amount private in a given transaction. However, this is already offered by several good privacy coins (Monero, PIVX) and Bitcoin private doesn't offer much more beyond this.
  6. Komodo: The Komodo blockchain platform uses Komodo’s open-source cryptocurrency for doing transparent, anonymous, private, and fungible transactions. They are then made ultra-secure using Bitcoin’s blockchain via a Delayed Proof of Work (dPoW) protocol and decentralized crowdfunding (ICO) platform to remove middlemen from project funding. Offers services for startups to create and manage their own Blockchains.
  7. PIVX: As a fork of Dash, PIVX uses an advanced implementation of the Zerocoin protocol to provide it’s privacy. This is a form of zeroknowledge proofs, which allow users to spend ‘Zerocoins’ that have no link back to them. Unlike Zcash u have denominations in PIVX, so they can’t track users by their payment amount being equal to the amount of ‘minted’ coins, because everyone uses the same denominations. PIVX is also implementing Bulletproofs, just like Monero, and this will take care of arguably the biggest weakness of zeroknowledge protocols: the trusted setup.
  8. Zcoin: PoW cryptocurrency. Private financial transactions, enabled by the Zerocoin Protocol. Zcoin is the first full implementation of the Zerocoin Protocol, which allows users to have complete privacy via Zero-Knowledge cryptographic proofs.
  9. Enigma: Monero is to Bitcoin what enigma is to Ethereum. Enigma is for making the data used in smart contracts private. More of a platform for dapps than a currency like Monero. Very promising.
  10. Navcoin: Like bitcoin but with added privacy and pos and 1,170 tps, but only because of very short 30 second block times. Though, privacy is optional, but aims to be more user friendly than Monero. However, doesn't really decide if it wants to be a privacy coin or not. Same as Zcash.Strong technology, non-shady team.
  11. Tenx: Raised 80 million, offers cryptocurrency-linked credit cards that let you spend virtual money in real life. Developing a series of payment platforms to make spending cryptocurrency easier. However, the question is if full privacy coins will be hindered in growth through government regulations and optional privacy coins will become more successful through ease of use and no regulatory hindrance.

Market 5 - Currency Exchange Tool

Due to the sheer number of different cryptocurrencies, exchanging one currency for the other it still cumbersome. Further, merchants don’t want to deal with overcluttered options of accepting cryptocurrencies. This is where exchange tool like Req come in, which allow easy and simple exchange of currencies.
  1. Cryptonex: Fiat and currency exchange between various blockchain services, similar to REQ.
  2. QASH: Qash is used to fuel its liquid platform which will be an exchange that will distribute their liquidity pool. Its product, the Worldbook is a multi-exchange order book that matches crypto to crypto, and crypto to fiat and the reverse across all currencies. E.g., someone is selling Bitcoin is USD on exchange1 not owned by Quoine and someone is buying Bitcoin in EURO on exchange 2 not owned by Quoine. If the forex conversions and crypto conversions match then the trade will go through and the Worldbook will match it, it'll make the sale and the purchase on either exchange and each user will get what they wanted, which means exchanges with lower liquidity if they join the Worldbook will be able to fill orders and take trade fees they otherwise would miss out on.They turned it on to test it a few months ago for an hour or so and their exchange was the top exchange in the world by 4x volume for the day because all Worldbook trades ran through it. Binance wants BNB to be used on their one exchange. Qash wants their QASH token embedded in all of their partners. More info here https://www.reddit.com/CryptoCurrency/comments/8a8lnwhich_are_your_top_5_favourite_coins_out_of_the/dwyjcbb/?context=3
  3. Kyber: network Exchange between cryptocurrencies, similar to REQ. Features automatic coin conversions for payments. Also offers payment tools for developers and a cryptocurrency wallet.
  4. Achain: Building a boundless blockchain world like Req .
  5. Req: Exchange between cryptocurrencies.
  6. Bitshares: Exchange between cryptocurrencies. Noteworthy are the 1.5 second average block times and throughput potential of 100,000 transactions per second with currently 2,400 TPS having been proven. However, bitshares had several Scam accusations in the past.
  7. Loopring: A protocol that will enable higher liquidity between exchanges and personal wallets.
  8. ZRX: Open standard for dapps. Open, permissionless protocol allowing for ERC20 tokens to be traded on the Ethereum blockchain. In 0x protocol, orders are transported off-chain, massively reducing gas costs and eliminating blockchain bloat. Relayers help broadcast orders and collect a fee each time they facilitate a trade. Anyone can build a relayer.

Market 6 - Gaming

With an industry size of $108B worldwide, Gaming is one of the largest markets in the world. For sure, cryptocurrencies will want to have a share of that pie.
  1. Storm: Mobile game currency on a platform with 9 million players.
  2. Fun: A platform for casino operators to host trustless, provably-fair gambling through the use of smart contracts, as well as creating their own implementation of state channels for scalability.
  3. Electroneum: Mobile game currency They have lots of technical problems, such as several 51% attacks
  4. Wax: Marketplace to trade in-game items

Market 7 - Misc

There are various markets being tapped right now. They are all summed up under misc.
  1. OMG: Omise is designed to enable financial services for people without bank accounts. It works worldwide and with both traditional money and cryptocurrencies.
  2. Power ledger: Australian blockchain-based cryptocurrency and energy trading platform that allows for decentralized selling and buying of renewable energy. Unique market and rather untapped market in the crypto space.
  3. Populous: A platform that connects business owners and invoice buyers without middlemen. Invoice sellers get cash flow to fund their business and invoice buyers earn interest. Similar to OMG, small market.
  4. Monacoin: The first Japanese cryptocurrency. Focused on micro-transactions and based on a popular internet meme of a type-written cat. This makes it similar to Dogecoin. Very niche, tiny market.
  5. Revain: Legitimizing reviews via the blockchain. Interesting concept, though market not as big.
  6. Augur: Platform to forecast and make wagers on the outcome of real-world events (AKA decentralized predictions). Uses predictions for a “wisdom of the crowd” search engine. Not launched yet.
  7. Substratum: Revolutionzing hosting industry via per request billing as a decentralized internet hosting system. Uses a global network of private computers to create the free and open internet of the future. Participants earn cryptocurrency. Interesting concept.
  8. Veritaseum: Is supposed to be a peer to peer gateway, though it looks like very much like a scam.
  9. TRON: Tronix is looking to capitalize on ownership of internet data to content creators. However, they plagiarized their white paper, which is a no go. They apologized, so it needs to be seen how they will conduct themselves in the future. Extremely high market cap for not having a product, nor proof of concept.
  10. Syscoin: A cryptocurrency with a decentralized marketplace that lets people buy and sell products directly without third parties. Trying to remove middlemen like eBay and Amazon.
  11. Hshare: Most likely scam because of no code changes, most likely pump and dump scheme, dead community.
  12. BAT: An Ethereum-based token that can be exchanged between content creators, users, and advertisers. Decentralized ad-network that pays based on engagement and attention.
  13. Dent: Decentralizeed exchange of mobile data, enabling mobile data to be marketed, purchased or distributed, so that users can quickly buy or sell data from any user to another one.
  14. Ncash: End to end encrypted Identification system for retailers to better serve their customers .
  15. Factom Secure record-keeping system that allows companies to store their data directly on the Blockchain. The goal is to make records more transparent and trustworthy .

Market 8 - Social network

Web 2.0 is still going strong and Web 3.0 is not going to ignore it. There are several gaming tokens already out there and a few with decent traction already, such as Steem, which is Reddit with voting through money is a very interesting one.
  1. Mithril: As users create content via social media, they will be rewarded for their contribution, the better the contribution, the more they will earn
  2. Steem: Like Reddit, but voting with money. Already launched product and Alexa rank 1,000 Thumbs up.
  3. Rdd: Reddcoin makes the process of sending and receiving money fun and rewarding for everyone. Reddcoin is dedicated to one thing – tipping on social networks as a way to bring cryptocurrency awareness and experience to the general public.
  4. Kin: Token for the platform Kik. Kik has a massive user base of 400 million people. Replacing paying with FIAT with paying with KIN might get this token to mass adoption very quickly.

Market 9 - Fee token

Popular exchanges realized that they can make a few billion dollars more by launching their own token. Owning these tokens gives you a reduction of trading fees. Very handy and BNB (Binance Coin) has been one of the most resilient tokens, which have withstood most market drops over the last weeks and was among the very few coins that could show growth.
  1. BNB: Fee token for Binance
  2. Gas: Not a Fee token for an exchange, but it is a dividend paid out on Neo and a currency that can be used to purchase services for dapps.
  3. Kucoin: Fee token for Kucoin

Market 10 - Decentralized Data Storage

Currently, data storage happens with large companies or data centers that are prone to failure or losing data. Decentralized data storage makes loss of data almost impossible by distributing your files to numerous clients that hold tiny pieces of your data. Remember Torrents? Torrents use a peer-to-peer network. It is similar to that. Many users maintain copies of the same file, when someone wants a copy of that file, they send a request to the peer-to-peer network., users who have the file, known as seeds, send fragments of the file to the requester., he requester receives many fragments from many different seeds, and the torrent software recompiles these fragments to form the original file.
  1. Gbyte: Byteball data is stored and ordered using directed acyclic graph (DAG) rather than blockchain. This allows all users to secure each other's data by referencing earlier data units created by other users, and also removes scalability limits common for blockchains, such as blocksize issue.
  2. Siacoin: Siacoin is decentralized storage platform. Distributes encrypted files to thousands of private users who get paid for renting out their disk space. Anybody with siacoins can rent storage from hosts on Sia. This is accomplish via "smart" storage contracts stored on the Sia blockchain. The smart contract provides a payment to the host only after the host has kept the file for a given amount of time. If the host loses the file, the host does not get paid.
  3. Maidsafecoin: MaidSafe stands for Massive Array of Internet Disks, Secure Access for Everyone.Instead of working with data centers and servers that are common today and are vulnerable to data theft and monitoring, SAFE’s network uses advanced P2P technology to bring together the spare computing capacity of all SAFE users and create a global network. You can think of SAFE as a crowd-sourced internet. All data and applications reside in this network. It’s an autonomous network that automatically sets prices and distributes data and rents out hard drive disk space with a Blockchain-based storage solutions.When you upload a file to the network, such as a photo, it will be broken into pieces, hashed, and encrypted. The data is then randomly distributed across the network. Redundant copies of the data are created as well so that if someone storing your file turns off their computer, you will still have access to your data. And don’t worry, even with pieces of your data on other people’s computers, they won’t be able to read them. You can earn MadeSafeCoins by participating in storing data pieces from the network on your computer and thus earning a Proof of Resource.
  4. Storj: Storj aims to become a cloud storage platform that can’t be censored or monitored, or have downtime. Your files are encrypted, shredded into little pieces called 'shards', and stored in a decentralized network of computers around the globe. No one but you has a complete copy of your file, not even in an encrypted form.

Market 11 - Cloud computing

Obviously, renting computing power, one of the biggest emerging markets as of recent years, e.g. AWS and Digital Ocean, is also a service, which can be bought and managed via the blockchain.
  1. Golem: Allows easy use of Supercomputer in exchange for tokens. People worldwide can rent out their computers to the network and get paid for that service with Golem tokens.
  2. Elf: Allows easy use of Cloud computing in exchange for tokens.

Market 12 - Stablecoin

Last but not least, there are 2 stablecoins that have established themselves within the market. A stable coin is a coin that wants to be independent of the volatility of the crypto markets. This has worked out pretty well for Maker and DGD, accomplished through a carefully diversified currency fund and backing each token by 1g or real gold respectively. DO NOT CONFUSE DGD AND MAKER with their STABLE COINS DGX and DAI. DGD and MAKER are volatile, because they are the companies of DGX and DAI. DGX and DAI are the stable coins.
  1. DGD: Platform of the Stablecoin DGX. Every DGX coin is backed by 1g of gold and make use proof of asset consensus.
  2. Maker: Platform of the Stablecoin DAI that doesn't vary much in price through widespread and smart diversification of assets.
EDIT: Added a risk factor from 0 to 10. The baseline is 2 for any crypto. Significant scandals, mishaps, shady practices, questionable technology, increase the risk factor. Not having a product yet automatically means a risk factor of 6. Strong adoption and thus strong scrutiny or positive community lower the risk factor.
EDIT2: Added a subjective potential factor from 0 to 10, where its overall potential and a small or big market cap is factored in. Bitcoin with lots of potential only gets a 9, because of its massive market cap, because if Bitcoin goes 10x, smaller coins go 100x, PIVX gets a 10 for being as good as Monero while carrying a 10x smaller market cap, which would make PIVX go 100x if Monero goes 10x.
submitted by galan77 to CryptoCurrency [link] [comments]

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