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Trump Didn’t Kill the Global Trade System. He Split It in Two.

This article is taken from the Wall Street Journal written about nine months ago and sits behind a a paywall, so I decided to copy and paste it here. This article explains Trump's policies toward global trade and what has actually happened so far. I think the article does a decent job of explaining the Trade War. While alot has happenedsince the article was written, I still think its relevant.
However, what is lacking in the article, like many articles on the trade war, is it doesn't really explain the history of US trade policy, the laws that the US administration is using to place tariffs on China and the official justification for the US President in enacting tariffs against China. In my analysis I will cover those points.

SUMMARY

When Trump entered the White House people feared he would dismantle the global system the US and its allies had built over the last 75 years, but he hasn't. He has realign into two systems. One between the US and its allies which looks similar to the one built since the 1980s with a few of quota and tariffs. As the article points out
Today, Korus and Nafta have been replaced by updated agreements(one not yet ratified) that look much like the originals. South Korea accepted quotas on steel. Mexico and Canada agreed to higher wages, North American content requirements and quotas for autos. Furthermore, the article points out Douglas Irwin, an economist and trade historian at Dartmouth College, calls these results the “status quo with Trumpian tweaks: a little more managed trade sprinkled about for favored industries. It’s not good, but it’s not the destruction of the system.” Mr. Trump’s actions so far affect only 12% of U.S. imports, according to Chad Bown of the Peterson Institute for International Economics. In 1984, 21% of imports were covered by similar restraints, many imposed by Mr. Reagan, such as on cars, steel, motorcycles and clothing. Protectionist instincts go so far in the US, there are strong lobby groups for both protectionist and freetrade in the US.
The second reflects a emerging rivalry between the US and China. Undo some of the integration that followed China accession to the WTO. Two questions 1) How far is the US willing to decouple with China 2) Can it persuade allies to join.
The second is going to be difficult because China's economic ties are greater than they were between the Soviets, and China isn't waging an ideological struggle. Trump lacks Reagan commitment to alliance and free trade. The status quo with China is crumbling Dan Sullivan, a Republican senator from Alaska, personifies these broader forces reshaping the U.S. approach to the world. When Mr. Xi visited the U.S. in 2015, Mr. Sullivan urged his colleagues to pay more attention to China’s rise. On the Senate floor, he quoted the political scientist Graham Allison: “War between the U.S. and China is more likely than recognized at the moment.” Last spring, Mr. Sullivan went to China and met officials including Vice President Wang Qishan. They seemed to think tensions with the U.S. will fade after Mr. Trump leaves the scene, Mr. Sullivan recalled. “I just said, ‘You are completely misreading this.’” The mistrust, he told them, is bipartisan, and will outlast Mr. Trump. both Bush II and Obama tried to change dialogue and engagement, but by the end of his term, Obama was questioning the approach. Trump has declared engagement. “We don’t like it when our allies steal our ideas either, but it’s a much less dangerous situation,” said Derek Scissors, a China expert at the American Enterprise Institute whose views align with the administration’s more hawkish officials. “We’re not worried about the war-fighting capability of Japan and Korea because they’re our friends.”
The article also points out unlike George Kennan in 1946 who made a case for containing the Soviet Union, the US hasn't explicitly made a case for containing the Soviets, Trump's administration hasn't, because as the the article explains its divided Michael Pillsbury a Hudson Institute scholar close to the Trump team, see 3 scenarios
Pillsbury thinks the third is most likely to happen, even though the administration hasn't said that it has adopted that policy. The US is stepping efforts to draw in other trading partners. The US, EU and Japan have launched a WTO effort to crack down on domestic subsidies and technology transfers requirement. US and Domestic concerns with prompted some countries to restrict Huawei. The US is also seeking to walloff China from other trade deals. However, there are risk with this strategy

ARTICLE

Trump Didn’t Kill the Global Trade System. He Split It in Two.

INTRODUCTION

My main criticism of this article is it tries like the vast majority of articles to fit US trade actions in the larger context of US geopolitical strategy. Even the author isn't certain "The first goes to the heart of Mr. Trump’s goal. If his aim is to hold back China’s advance, economists predict he will fail.". If you try to treat the trade "war" and US geopolitical strategy toward China as one, you will find yourself quickly frustrated and confused. If you treat them separately with their different set of stakeholders and histories, were they intersect with regards to China, but diverge. During the Cold War, trade policy toward the Soviet Union and Eastern Bloc was subordinated to geopolitical concerns. For Trump, the trade issues are more important than geopolitical strategy. His protectionist trade rhetoric has been fairly consistent since 1980s. In his administration, the top cabinet members holding economic portfolios, those of Commerce, Treasury and US Trade Representative are the same people he picked when he first took office. The Director of the Economic Council has changed hands once, its role isn't as important as the National Security Advisor. While State, Defense, CIA, Homeland Security, UN Ambassador, National Security Advisor have changed hands at least once. Only the Director of National Intelligence hasn't changed.
International Trade makes up 1/4 of the US economy, and like national security its primarily the responsibility of the Federal government. States in the US don't implement their own tariffs. If you add the impact of Treasury policy and how it relates to capital flows in and out of the US, the amounts easily exceed the size of the US economy. Furthermore, because of US Dollar role as the reserve currency and US control of over global system the impact of Treasury are global. Trade policy and investment flows runs through two federal departments Commerce and Treasury and for trade also USTR. Defense spending makes up 3.3% of GDP, and if you add in related homeland security its at most 4%. Why would anyone assume that these two realms be integrated let alone trade policy subordinate to whims of a national security bureaucracy in most instances? With North Korea or Iran, trade and investment subordinate themselves to national security, because to Treasury and Commerce bureaucrats and their affiliated interest groups, Iran and the DPRK are well, economic midgets, but China is a different matter.
The analysis will be divided into four sections. The first will be to provide a brief overview of US trade policy since 1914. The second section will discuss why the US is going after China on trade issues, and why the US has resorted using a bilateral approach as opposed to going through the WTO. The third section we will talk about how relations with China is hashed out in the US.
The reason why I submitted this article, because there aren't many post trying to explain US-China Trade War from a trade perspective. Here is a post titled "What is the Reasons for America's Trade War with China, and not one person mentioned Article 301 or China's WTO Commitments. You get numerous post saying that Huawei is at heart of the trade war. Its fine, but if you don't know what was inside the USTR Investigative report that lead to the tariffs. its like skipping dinner and only having dessert When the US President, Donald J Trump, says he wants to negotiate a better trade deal with other countries, and has been going on about for the last 35 years, longer than many of you have been alive, why do people think that the key issues with China aren't primarily about trade at the moment.

OVERVIEW OF THE UNITED STATES TRADE ORIENTATION

Before 1940s, the US could be categorized as a free market protectionist economy. For many this may seem like oxymoron, how can an economy be free market and protectionist? In 1913, government spending made up about 7.5% of US GDP, in the UK it was 13%, and for Germany 18% (Public Spending in the 20th Century A Global Perspective: Ludger Schuknecht and Vito Tanzi - 2000). UK had virtual zero tariffs, while for manufactured goods in France it was 20%, 13% Germany, 9% Belgium and 4% Netherlands. For raw materials and agricultural products, it was almost zero. In contrast, for the likes of United States, Russia and Japan it was 44%, 84% and 30% respectively. Even though in 1900 United States was an economic powerhouse along with Germany, manufactured exports only made up 30% of exports, and the US government saw tariffs as exclusively a domestic policy matter and didn't see tariffs as something to be negotiated with other nations. The US didn't have the large constituency to push the government for lower tariffs abroad for their exports like in Britain in the 1830-40s (Reluctant Partners: A History of Multilateral Trade Cooperation, 1850-2000).
The Underwood Tariffs Act of 1913 which legislated the income tax, dropped the tariffs to 1850 levels levels.Until 16th amendment was ratified in 1913 making income tax legal, all US federal revenue came from excise and tariffs. In contrast before 1914, about 50% of UK revenue came from income taxes. The reason for US reluctance to introduced income tax was ideological and the United State's relative weak government compared to those in Europe. After the First World War, the US introduced the Emergency Tariff Act of 1921, than the Fordney–McCumber Tariff of 1922 followed by a Smoot-Hawley Act of 1930. Contrary to popular opinion, the Smoot-Hawley Act of 1930 had a small negative impact on the economy, since imports and exports played a small part of the US economy, and the tariffs were lower than the average that existed from 1850-1914.
Immediately after the Second World War, when the US economy was the only industrialized economy left standing, the economic focus was on rehabilitation and monetary stability. There was no grandiose and ideological design. Bretton Woods system linked the US dollar to gold to create monetary stability, and to avoid competitive devaluation and tariffs that plagued the world economy after Britain took itself off the gold in 1931. The US$ was the natural choice, because in 1944 2/3 of the world's gold was in the US. One reason why the Marshall Plan was created was to alleviate the chronic deficits Europeans countries had with the US between 1945-50. It was to rebuild their economies so they could start exports good to the US. Even before it was full implemented in 1959, it was already facing problems, the trade surpluses that the US was running in the 1940s, turned to deficits as European and Japanese economies recovered. By 1959, Federal Reserves foreign liabilities had already exceeded its gold reserves. There were fears of a run on the US gold supply and arbitrage. A secondary policy of the Bretton woods system was curbs on capital outflows to reduce speculation on currency pegs, and this had a negative impact on foreign investment until it was abandoned in 1971. It wasn't until the 1980s, where foreign investment recovered to levels prior to 1914. Factoring out the big spike in global oil prices as a result of the OPEC cartel, it most likely wasn't until the mid-1990s that exports as a % of GDP had reached 1914 levels.
Until the 1980s, the US record regarding free trade and markets was mediocre. The impetus to remove trade barriers in Europe after the Second World War was driven by the Europeans themselves. The EEC already had a custom union in 1968, Canada and the US have yet to even discuss implementing one. Even with Canada it took the US over 50 years to get a Free Trade Agreement. NAFTA was inspired by the success of the EEC. NAFTA was very much an elite driven project. If the Americans put the NAFTA to a referendum like the British did with the EEC in the seventies, it most likely wouldn't pass. People often look at segregation in the US South as a political issue, but it was economic issue as well. How could the US preach free trade, when it didn't have free trade in its own country. Segregation was a internal non-tariff barrier. In the first election after the end of the Cold War in 1992, Ross Perot' based most of independent run for the Presidency on opposition to NAFTA. He won 19% of the vote. Like Ross Perot before him, Donald Trump is not the exception in how America has handled tariffs since the founding of the Republic, but more the norm.
The embrace of free trade by the business and political elite can be attributed to two events. After the end of Bretton Woods in 1971, a strong vested interest in the US in the form of multinationals and Wall Street emerged advocating for removal of tariffs and more importantly the removal of restrictions on free flow of capital, whether direct foreign investment in portfolio investment. However, the political class embrace of free trade and capital only really took off after the collapse of the Soviet Union propelled by Cold War triumphalism.
As mentioned by the article, the US is reverting back to a pre-WTO relations with China. As Robert Lighthizer said in speech in 2000
I guess my prescription, really, is to move back to more of a negotiating kind of a settlement. Return to WTO and what it really was meant to be. Something where you have somebody make a decision but have it not be binding.
The US is using financial and legal instruments developed during the Cold War like its extradition treaties (with Canada and Europe), and Section 301. Here is a very good recent article about enforcement commitment that China will make.‘Painful’ enforcement ahead for China if trade war deal is reached with US insisting on unilateral terms
NOTE: It is very difficult to talk about US-China trade war without a basic knowledge of global economic history since 1914. What a lot of people do is politicize or subordinate the economic history to the political. Some commentators think US power was just handed to them after the Second World War, when the US was the only industrialized economy left standing. The dominant position of the US was temporary and in reality its like having 10 tonnes of Gold sitting in your house, it doesn't automatically translate to influence. The US from 1945-1989 was slowly and gradually build her influence in the non-Communist world. For example, US influence in Canada in the 1960s wasn't as strong as it is now. Only 50% of Canadian exports went to the US in 1960s vs 80% at the present moment.

BASIS OF THE US TRADE DISCUSSION WITH CHINA

According to preliminary agreement between China and the US based on unnamed sources in the Wall Street Journal article US, China close in on Trade Deal. In this article it divides the deal in two sections. The first aspects have largely to do with deficits and is political.
As part of a deal, China is pledging to help level the playing field, including speeding up the timetable for removing foreign-ownership limitations on car ventures and reducing tariffs on imported vehicles to below the current auto tariff of 15%. Beijing would also step up purchases of U.S. goods—a tactic designed to appeal to President Trump, who campaigned on closing the bilateral trade deficit with China. One of the sweeteners would be an $18 billion natural-gas purchase from Cheniere Energy Inc., people familiar with the transaction said.
The second part will involve the following.
  1. Commitment Regarding Industrial Policy
  2. Provisions to protect IP
  3. Mechanism which complaints by US companies can be addressed
  4. Bilateral meetings adjudicate disputes. If talks don't produce agreement than US can raise tariffs unilaterally
This grouping of conditions is similar to the points filled under the 301 investigation which serve the basis for initiating the tariffs. I have been reading some sources that say this discussion on this second group of broader issues could only be finalized later
The official justifications for placing the tariffs on Chinese goods is found under the March 2018 investigation submitted by the office of the President to Congress titled FINDINGS OF THE INVESTIGATION INTO CHINA’S ACTS, POLICIES, AND PRACTICES RELATED TO TECHNOLOGY TRANSFER, INTELLECTUAL PROPERTY, AND INNOVATION UNDER SECTION 301 OF THE TRADE ACT OF 1974. From this investigation the United States Trade Representative (USTR) place US Tariffs on Chinese goods as per Section 301 of the Trade Act of 1974. Here is a press release by the USTR listing the reasons for placing tariffs, and the key section from the press release. Specifically, the Section 301 investigation revealed:
In the bigger context of trade relations between US and China, China is not honoring its WTO commitments, and the USTR issued its yearly report to Congress in early February about the status of China compliance with its WTO commitments. The points that served as a basis for applying Section 301, also deviate from her commitments as Clinton's Trade Representative Charlene Barshefsky paving the way for a trade war. Barshefsky argues that China's back sliding was happening as early as 2006-07, and believes the trade war could have been avoided has those commitments been enforced by previous administrations.
I will provide a brief overview of WTO membership and China's process of getting into the WTO.
WTO members can be divided into two groups, first are countries that joined in 1995-97, and were members of GATT, than there are the second group that joined after 1997. China joined in 2001. There is an argument that when China joined in 2001, she faced more stringent conditions than other developing countries that joined before, because the vast majority of developing countries were members of GATT, and were admitted to the WTO based on that previous membership in GATT. Here is Brookings Institute article published in 2001 titled "Issues in China’s WTO Accession"
This question is all the more puzzling because the scope and depth of demands placed on entrants into the formal international trading system have increased substantially since the formal conclusion of the Uruguay Round of trade negotiations in 1994, which expanded the agenda considerably by covering many services, agriculture, intellectual property, and certain aspects of foreign direct investment. Since 1994, the international community has added agreements covering information technology, basic telecommunications services, and financial services. WTO membership now entails liberalization of a much broader range of domestic economic activity, including areas that traditionally have been regarded by most countries as among the most sensitive, than was required of countries entering the WTO’s predecessor organization the GATT.
The terms of China’s protocol of accession to the World Trade Organization reflect the developments just described and more. China’s market access commitments are much more far-reaching than those that governed the accession of countries only a decade ago. And, as a condition for membership, China was required to make protocol commitments that substantially exceed those made by any other member of the World Trade Organization, including those that have joined since 1995. The broader and deeper commitments China has made inevitably will entail substantial short-term economic costs.
What are the WTO commitments Barshefsky goes on about? When countries join the WTO, particularly those countries that weren't members of GATT and joined after 1997, they have to work toward fulfilling certain commitments. There are 4 key documents when countries make an accession to WTO membership, the working party report, the accession protocol paper, the goods schedule and service schedule.
In the working party report as part of the conclusion which specifies the commitment of each member country what they will do in areas that aren't compliant with WTO regulations on the date they joined. The problem there is no good enforcement mechanism for other members to force China to comply with these commitments. And WTO punishments are weak.
Here is the commitment paragraph for China
"The Working Party took note of the explanations and statements of China concerning its foreign trade regime, as reflected in this Report. The Working Party took note of the commitments given by China in relation to certain specific matters which are reproduced in paragraphs 18-19, 22-23, 35-36, 40, 42, 46-47, 49, 60, 62, 64, 68, 70, 73, 75, 78-79, 83-84, 86, 91-93, 96, 100-103, 107, 111, 115-117, 119-120, 122-123, 126-132, 136, 138, 140, 143, 145, 146, 148, 152, 154, 157, 162, 165, 167-168, 170-174, 177-178, 180, 182, 184-185, 187, 190-197, 199-200, 203-207, 210, 212-213, 215, 217, 222-223, 225, 227-228, 231-235, 238, 240-242, 252, 256, 259, 263, 265, 270, 275, 284, 286, 288, 291, 292, 296, 299, 302, 304-305, 307-310, 312-318, 320, 322, 331-334, 336, 339 and 341 of this Report and noted that these commitments are incorporated in paragraph 1.2 of the Draft Protocol. "
This is a tool by the WTO that list all the WTO commitment of each country in the working paper. In the goods and service schedule they have commitments for particular sectors. Here is the a press release by the WTO in September 2001, after successfully concluding talks for accession, and brief summary of key areas in which China hasn't fulfilled her commitments. Most of the commitments made by China were made to address its legacy as a non-market economy and involvement of state owned enterprises. In my opinion, I think the US government and investors grew increasingly frustrated with China, after 2007 not just because of China's back sliding, but relative to other countries who joined after 1997 like Vietnam, another non-market Leninist dictatorship. When comparing China's commitments to the WTO its best to compare her progress with those that joined after 1997, which were mostly ex-Soviet Republics.
NOTE: The Chinese media have for two decades compared any time the US has talked about China's currency manipulation or any other issue as a pretext for imposing tariffs on China to the Plaza Accords. I am very sure people will raise it here. My criticism of this view is fourfold. First, the US targeted not just Japan, but France, Britain and the UK as well. Secondly, the causes of the Japan lost decade were due largely to internal factors. Thirdly, Japan, UK, Britain and France in the 1980s, the Yuan isn't undervalued today. Lastly, in the USTR investigation, its China's practices that are the concern, not so much the trade deficit.

REASONS FOR TRUMPS UNILATERAL APPROACH

I feel that people shouldn't dismiss Trump's unilateral approach toward China for several reasons.
  1. The multilateral approach won't work in many issues such as the trade deficit, commercial espionage and intellectual property, because US and her allies have different interest with regard to these issues. Germany and Japan and trade surpluses with China, while the US runs a deficit. In order to reach a consensus means the West has to compromise among themselves, and the end result if the type of toothless resolutions you commonly find in ASEAN regarding the SCS. Does America want to "compromise" its interest to appease a politician like Justin Trudeau? Not to mention opposition from domestic interest. TPP was opposed by both Clinton and Trump during the election.
  2. You can't launch a geopolitical front against China using a newly formed trade block like the TPP. Some of the existing TPP members are in economic groups with China, like Malaysia and Australia.
  3. China has joined a multitude of international bodies, and at least in trade, these bodies haven't changed its behavior.
  4. Dealing with China, its a no win situation whether you use a tough multilateral / unilateral approach. If the US endorse a tough unilateral approach gives the impression that the US is acting like the British during the Opium War. If you take a concerted Western approach you are accused of acting like the 8 Powers Alliance in 1900.
  5. Trump was elected to deal with China which he and his supporters believe was responsible for the loss of millions manufacturing jobs when China joined the WTO in 2001. It is estimate the US lost 6 Million jobs, about 1/4 of US manufacturing Jobs. This has been subsequently advanced by some economists. The ball got rolling when Bill Clinton decided to grant China Most Favored Nation status in 1999, just a decade after Tiananmen.
  6. China hasn't dealt with issues like IP protection, market access, subsidies to state own companies and state funded industrial spying.
To his credit, Trump has said his aim was not to overthrow authoritarian governments, and that even applies to the likes of Iran. The Arab spring scared Russia and China, because the US for a brief moment placed the spread of democracy over its security interest.

UNDERSTANDING HOW THE US MAKES DECISIONS REGARDING CHINA

At this moment, China or the trade war isn't an area of great concern for the American public, among international issues it ranks lower than international terrorism, North Korea and Iran's nuclear program.
According to the survey, 39 percent of the country views China’s growing power as a “critical threat” to Americans. That ranked it only eighth among 12 potential threats listed and placed China well behind the perceived threats from international terrorism (66 percent), North Korea’s nuclear program (59 percent) and Iran’s nuclear program (52 percent). It’s also considerably lower than when the same question was asked during the 1990s, when more than half of those polled listed China as a critical threat. That broadly tracks with a recent poll from the Pew Research Center that found concern about U.S.-China economic issues had decreased since 2012.
In looking at how US conducts relations foreign policy with China, we should look at it from the three areas of most concern - economic, national security and ideology. Each sphere has their interest groups, and sometimes groups can occupy two spheres at once. Security experts are concerned with some aspects of China's economic actions like IP theft and industrial policy (China 2025), because they are related to security. In these sphere there are your hawks and dove. And each sphere is dominated by certain interest groups. That is why US policy toward China can often appear contradictory. You have Trump want to reduce the trade deficit, but security experts advocating for restrictions on dual use technology who are buttressed by people who want export restrictions on China, as a way of getting market access.
Right now the economic concerns are most dominant, and the hawks seem to dominate. The economic hawks traditionally have been domestic manufacturing companies and economic nationalist. In reality the hawks aren't dominant, but the groups like US Companies with large investment in China and Wall Street are no longer defending China, and some have turned hawkish against China. These US companies are the main conduit in which China's lobby Congress, since China only spends 50% of what Taiwan spends lobbying Congress.
THE ANGLO SAXON WORLD AND CHINA
I don't think many Chinese even those that speak English, have a good understanding Anglo-Saxon society mindset. Anglo Saxons countries, whether US, UK, Canada, Australia, New Zealand and Ireland are commerce driven society governed by sanctity of contracts. The English great philosophical contributions to Western philosophy have primarily to do with economics and politics like Adam Smith, John Locke, David Hume and Thomas Hobbes. This contrast with the French and Germans. Politics in the UK and to a lesser extent the US, is centered around economics, while in Mainland Europe its religion. When the Americans revolted against the British Empire in 1776, the initial source of the grievances were taxes.
Outside of East Asia, the rest of the World's relationship with China was largely commercial, and for United States, being an Anglosaxon country, even more so. In Southeast Asia, Chinese aren't known for high culture, but for trade and commerce. Outside Vietnam, most of Chinese loans words in Southeast Asian languages involve either food or money. The influence is akin to Yiddish in English.
Some people point to the Mao and Nixon meeting as great strategic breakthrough and symbol of what great power politics should look like. The reality is that the Mao-Nixon meeting was an anomaly in the long history of relations with China and the West. Much of China-Western relations over the last 500 years was conducted by multitudes of nameless Chinese and Western traders. The period from 1949-1979 was the only period were strategic concerns triumphed trade, because China had little to offer except instability and revolution. Even in this period, China's attempt to spread revolution in Southeast Asia was a threat to Western investments and corporate interest in the region. During the nadir of both the Qing Dynasty and Republican period, China was still engaged in its traditional commercial role. Throughout much of history of their relations with China, the goals of Britain and the United States were primarily economic,
IMAGINE JUST 10% OF CHINA BOUGHT MY PRODUCT
From the beginning, the allure of China to Western businesses and traders has been its sheer size I. One of the points that the USTR mentions is lack of market access for US companies operating in China, while Chinese companies face much less restrictions operating in the US.
This is supported by remarks by Henry Paulson and Charlene Barshefsky. As Paulson remarked
Trade with China has hurt some American workers. And they have expressed their grievances at the ballot box.
So while many attribute this shift to the Trump Administration, I do not. What we are now seeing will likely endure for some time within the American policy establishment. China is viewed—by a growing consensus—not just as a strategic challenge to the United States but as a country whose rise has come at America’s expense. In this environment, it would be helpful if the US-China relationship had more advocates. That it does not reflects another failure:
In large part because China has been slow to open its economy since it joined the WTO, the American business community has turned from advocate to skeptic and even opponent of past US policies toward China. American business doesn’t want a tariff war but it does want a more aggressive approach from our government. How can it be that those who know China best, work there, do business there, make money there, and have advocated for productive relations in the past, are among those now arguing for more confrontation? The answer lies in the story of stalled competition policy, and the slow pace of opening, over nearly two decades. This has discouraged and fragmented the American business community. And it has reinforced the negative attitudinal shift among our political and expert classes. In short, even though many American businesses continue to prosper in China, a growing number of firms have given up hope that the playing field will ever be level. Some have accepted the Faustian bargain of maximizing today’s earnings per share while operating under restrictions that jeopardize their future competitiveness. But that doesn’t mean they’re happy about it. Nor does it mean they aren’t acutely aware of the risks — or thinking harder than ever before about how to diversify their risks away from, and beyond, China.
What is interesting about Paulson's speech is he spend only one sentence about displaced US workers, and a whole paragraph about US business operating in China. While Kissinger writes books about China, how much does he contribute to both Democrats and the Republicans during the election cycle? China is increasingly makING it more difficult for US companies operating and those exporting products to China.

CONTINUED

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GBPJPY Trend Invalidation Signals and Contingency Plans

GBPJPY Trend Invalidation Signals and Contingency Plans
Took multiple losses on GBPJPY as it ran through all the trend continuation setups, and the persistence of how it has done this move is something that gives us reason to re-assess trade plans, and be diligent on risks as well as opportunities the conditions we are now in may present.

I feel like I've seen this movie before. Usually when getting squeezed in a trend continuation, there are a few hits you have to take and then there is a big pay off. As a general rule, the better the move will be the harder it is to position for. So early losses on this were all within the acceptable margin of error in this strategy (I think I also made setup errors, which was bad. I can do better on that). After we ran some more setups (that looked fully valid at time of execution), I noped out. Stopped selling, and waited to see what happened.

Last time I remember being on the wrong side of such a fierce move of this form on GBPJPY was similar. Done well shorting, scalped some buys at a support, then reversed into the "correction" - and it went parabolic against me. I remember this well, because in the coming week there were news reports of the GBP having it's best day/week in a yeadecade (I forget specifics, but GBP was in the news for the rally). In the week after that, the high was made .... because that was when Brexit happened.

What happened there, from a charting perspective, is we went into a 2 week corrective cycle and then started another impulsive wave. If this happens we may see something spectacular in GBPJPY in the near term. This may feature a record breaking rally (or at least strong one) into 145, and even 155 (current price 130). From there, we may start a new trend taking the market into the large chart forecasts of 89 and 61.

I can retire if that happens. Absolutely. I'm going to plan, with various contingencies, for something like that possibly happening. In this post I''ll show what warnings signs we got over the last days as sellers. Where our main dangers will be as buyers. The levels as which we can be more sure buyers have won out in the short term, and also where the possible spikes low could come and how we'd trade them / what we'd do next.

I'll use MT4 charting for this analysis, since it will require a lot of different fibs and patterns assessment, I find fibs on MT4 quicker to work with than cTrader.

The Big Gartley Pattern


So the first thing we want to establish is where the buyers are coming from. Double bottom is accurate, but a bit vague. If we look closer, we can see the daily chart pinging off the 61.8 and 76 fib levels. This would be consistent with a Gartley pattern, and this would be a bullish reversal pattern (If successful). We have a couple probable scenarios here. One is a big break and move lower, and the other is a persistent move up in a small time frame trending chart form.

https://preview.redd.it/ycjwj3bsxmk31.png?width=806&format=png&auto=webp&s=94198bcff8cdf3e9b4cae306496bd91b5477a7f0
Let's look closer and see what the last days of trading have suggested to us about this.
Here is the 1 hour chart around the 76 level.
https://preview.redd.it/1c31uqv4qmk31.png?width=809&format=png&auto=webp&s=47df97d3f4f31238bacbb20282f8495399e01527
We've possibly formed the start of a second trend leg in the recent move up. Our best move here would be wait for a dip, buy into that and then run the trend upwards. We should see more strong moves like today, and these should be in nice structured form giving us easy entries and exits. This would be a good scenario for trading.
If a spike out is to form from this level, we'd now have it in a clear butterfly pattern. So we'd look for a 1.61 extension of this swing giving us a projected low of 125 area. This would be a harder move to trade. We either have to keep selling into the resistance levels and risk multiple small losses, or wait for momentum downwards and use breakout strategies. I feel method one has failed this week. We can perhaps look more at method two in a close under 128 (which will not happen if we are to trend).

https://preview.redd.it/djz31dxdrmk31.png?width=814&format=png&auto=webp&s=ce05f051a785177e7598e8c4f430224183366013
As buyers, the possibility of this take out low move is our main danger. We have to be aware this can happen and it will be a fast move if it does. Risk control is important.

Bullish Scenarios

For now I am going to work on trade plans for if price remains above 128.50 and indicates bullish momentum. I want to work on targets and then reversal areas.

When we use the analysis above and consider we may be entering into big corrective leg, we can consider that this might be a 'ping swing' like move.

https://preview.redd.it/s9fyuyhmsmk31.png?width=813&format=png&auto=webp&s=8aa69ac8b99bbd3874593a60fcf6e76b930be911
Remember the main characteristics of a ping swing. It's very strong. The move is parabolic. There's a spike out of major levels, and then there is an impulse leg.
Weigh that against the price action I described the last time I seen the same setup on GBBPJPY running into Brexit. The market followed that same template of price movements, and then came down in spectacular fashion.
This is where our main opportunity is, and this is where it seem the smart way to be betting is at this time. If the lows made here are taken out, we can look for positions around 125 to load up for this (a spike out and rally is still valid).
In the immediate term, we can just buy dips. Use tight stops and get high RR if it runs up, have very small losses to the downside. A correction from 130.20 to 128.50 gives us a great buying opportunity to get started in this move (buying over 130 but under 130.60 I think is a bad trade. Better to wait)
If we can establish a good buy position and see a ping swing move (which would be 2,000 pips - and GBPJPY can do this without many pullbacks, it's wild) the profit potential on this is enormous. Very small risks can be taken for extreme profits on the other end. If we do this and make good profits in the run up to that, we can then use a portion of these profits to position aggressively on the 61.8 spike out, and maybe have big positions in a decade long breakout to the downside in GBPJPY.
Whether or not there is a spike out low, when buying our first target is 145.00. This is either buying from 128.50 or 125 if that trade does not work out.
It would be very dangerous to sell if there is a spike out low into 125. Selling here could be brutal in the whip against you (as could selling in the leg we have but not getting out quick). For some perspective on this, GBPJPY went from 145 to 160 in only a couple strong trading days the last time we had conditions similar to this. The possibility of this, makes it a bad time to be a seller - horrible time to be a stubborn one.

Wrap up.

No buys 130 - 130.50. Possible buys if there is a break of this.
Sells possible in this area, but risky. Not great RR. I'd not bother.
Buy level 1 - 128.50. 143 could be swing target here.
128 major bear break area. Danger of fast move here. Cut buys.
125 if met in spike, big buying area. Target 143 and stop 123 (tighter with price action).
145 first major upside resis. If we break this, 155.
Absolutely no selling into parabolic moves on GBPJPY at levels not mentioned here, isn't worth it.
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THE LION KING ARRIVING

THE LION KING ARRIVING
The Lion King is a 2019 American photorealistic computer-animated musical drama film directed and produced by Jon Favreau, with a screenplay written by Jeff Nathanson, and produced by Walt Disney Pictures. It's a photorealistic computer-animated remake of Disney's traditionally animated 1994 film of the same name. The movie stars the voices of Donald Glover, Seth Rogen, Chiwetel Ejiofor, Alfre Woodard, Billy Eichner, John Kani, John Oliver and Beyoncé Knowles-Carter, in addition to James Earl Jones reprising his authentic position as Mufasa.

https://preview.redd.it/egn6js7pgga31.jpg?width=2000&format=pjpg&auto=webp&s=95de0dc3a49272a75fa9a52df48f44cb714191ff
Plans for a remake of The Lion King have been confirmed in September 2016 following the success of the studio's The Jungle Book, additionally directed by Favreau. A lot of the principle forged signed in early 2017 and principal production started in mid-2017 on a blue screen stage in Los Angeles.
The movie is scheduled to be theatrically launched in America on July 19, 2019. It obtained blended evaluations, with the reward for its visible results and vocal performances, whereas receiving criticism for being extremely spinoff of the unique and the dearth of emoting within the animated lion characters relative to the unique.
Disney’s upcoming movie journeys to the African savanna the place a future king is born. Simba idolizes his father, King Mufasa, and takes to coronary heart his personal royal future. However, not everybody within the kingdom celebrates the brand new cub’s arrival. Scar, Mufasa’s brother—and former inheritor to the throne—has plans of his personal. The battle for Satisfaction Rock is ravaged with betrayal, tragedy and drama, finally leading to Simba’s exile. With an assist from a curious pair of newfound pals, Simba must determine to find out how to develop up and take again what's rightfully his.
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Voice forged

Foremost article: List of The Lion King characters
  • Donald Glover as Simba: A lion who's the crown prince of the Satisfaction Lands. Glover mentioned that the movie will focus extra on Simba's time rising up than the unique movie did, stating that "[Favreau] was very eager in ensuring we noticed [Simba's] transition from boy to man and the way laborious that maybe when there's been a deep trauma".[5]
    • JD McCrary as younger Simba.

https://preview.redd.it/55z18xhsgga31.jpg?width=480&format=pjpg&auto=webp&s=ef79d959d87a86c000d24b50539e631a9ea47956
  • Seth Rogen as Pumbaa: A slow-witted common warthog who befriends and adopts a younger Simba after he runs away from dwelling. Rogen mentioned, "[a]s an actor, I [...] do not suppose I am proper for each position — there are numerous roles I do not suppose I am proper for even in motion pictures I am making — however, Pumbaa was one I knew I may do properly".[6]
  • Chiwetel Ejiofor as Scar: The treacherous brother of Mufasa and the uncle of Simba who seeks to take the mantle of king of the Satisfaction Lands. Ejiofor described Scar as extra "psychologically possessed" and "brutalized" than within the authentic movie.[6] Ejiofor mentioned that "particularly with Scar, whether or not it is a vocal high quality that permits for a sure confidence or a sure aggression, to at all times know that on the finish of it you are enjoying someone who has the capability to show everything on its head in a break up second with outrageous acts of violence – that may fully change the temperature of a scene".[6] Ejiofor additionally mentioned that "[Scar and Mufasa's] relationship is totally destroyed and brutalized by Scar's mindset. He is possessed with this illness of his personal ego and his personal need".[5] Favreau mentioned of casting Ejiofor, "[He] is only an incredible actor, who brings us a little bit of the mid-Atlantic cadence and a brand new tackle the character. He brings that feeling of a Shakespearean villain to bear due to his background as an actor. It is great when you have got someone as skilled and seasoned as Chiwetel; he simply breathes such great life into this character.

https://preview.redd.it/xik5ye7vgga31.png?width=756&format=png&auto=webp&s=ed6380f8ce8070d9de0b3e7190758b14152bc36b
  • Alfre Woodard as Sarabi: The Queen of the Satisfaction Lands, Mufasa's mate, and Simba's mom.
  • Billy Eichner as Timon: A wise-cracking meerkat who befriends and adopts a younger Simba after he runs away from dwelling.
  • John Kani as Rafiki: A smart mandrill who serves because of the shaman of the Satisfaction Lands and an in-depth buddy of Mufasa's.[7] Likening his position to that of a grandfather, Kani mentioned, "Rafiki reminds all of us of that particular smart relative. His knowledge, humour and his loyalty to the Mufasa dynasty is what warms our hearts in direction of him. [He's] at all times blissful and wisecracking jokes as classes of life and survival.
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  • John Oliver as Zazu: A red-billed hornbill who's the majordomo to the King of the Satisfaction Lands. Talking of his position, Oliver mentioned, "I believe Zazu is mainly a fowl who likes construction. He simply desires issues to be as they need to be. I believe there are British echoes there as a result of we are inclined to favour construction in lieu of getting an emotional response to something."[1]
  • Beyoncé Knowles-Carter as Nala: Simba's childhood greatest buddy and future love curiosity. In accordance with Favreau, the character has a much bigger position than within the authentic movie.[8]Favreau felt that "a part of [Beyoncé joining the film] is that she's bought younger children, a part of it's that it is a story that feels good for this part of her life and her profession, and he or she actually likes the unique very a lot. After which, after all, there are these great musical numbers that she could be concerned with, and my God... she actually lives as much as her fame so far as the fantastic thing about her voice and expertise".

https://preview.redd.it/whc87s3fhga31.jpg?width=1200&format=pjpg&auto=webp&s=01346be25f62e54b16b9a395a733e98dd4af4a48
  • Shahadi Wright Joseph as younger Nala. Joseph reprises her position from the Broadway production.[10] Joseph selected to work on the movie as a result of "Nala conjures up little ladies [...] She's an excellent position mannequin".
  • James Earl Jones as Mufasa: The King of the Satisfaction Lands and the daddy of Simba. Jones reprises his position from the unique 1994 animated movie. In accordance with Favreau, Jones' strains stay principally the identical from the unique movie.[6] Ejiofor mentioned that "the consolation of [Jones reprising his role] goes to be very rewarding in taking [the audience] on this journey once more. It is a once-in-a-generation vocal high quality". Favreau noticed Jones' return as "carrying the legacy throughout" the unique movie and the remake, and felt that his voice's change in tonality in comparison with the unique movie "served the position properly as a result of he feels like a king who's nominated for a very long time".
Florence Kasumba, Keegan-Michael Key, and Eric Andre voice Shenzi, Kamari, and Azizi, three spotted hyenas who're Scar's henchmen. Whereas Shenzi is a personality that was featured within the authentic 1994 animated movie, Kamari and Azizi are the respective renames of Banzai and Ed from the unique movie. The hyenas' characterizations have been closely altered from the unique movie's, as Favreau felt that they "needed to change so much" to suit the remake's reasonable fashion, stating that "[a] lot of the stuff around them [in the original film] was very stylised".[13]Kasumba elaborated, declaring that "These hyenas have been humorous. These hyenas are harmful.
Moreover, Penny Johnson Jerald voices Sarafina, Nala's mom.[1] Amy Sedaris, Chance the Rapper and Josh McCrary voice a guinea fowl, a bush baby, and an elephant shrew, respectively, Timon and Pumbaa's neighbours within the jungle.[1][14] Phil LaMarr voices an impala, whereas J. Lee voices a hyena.

Manufacturing

Growth

On September 28, 2016, Walt Disney Pictures confirmed that Jon Favreau can be directing a remake of the 1994 animated movie The Lion King, which might characteristic the songs from the 1994 movie, following a string of latest field workplace successes on the opposite Disney live-action remake movies comparable to Maleficent), Cinderella), Favreau's The Jungle Book) and Beauty and the Beast), with the latter three additionally incomes important reward.[15]#citenote-15) On October 13, 2016, it was reported that Disney had employed Jeff Nathanson to write down the screenplay for the remake,[[16]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-16) with the story written by Brenda Chapman, who was the unique movie's head of story.[[17]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-LionKingEverythingKnow-17)
In November, speaking with ComingSoon.net, Favreau mentioned the digital cinematography expertise he utilized in The Jungle Ebook can be used to a larger diploma in The Lion King.[18]#citenote-18) Though the media reported The Lion King to be a live-action movie, it really makes use of photorealistic computer-generated animation. Disney additionally didn't describe it as live-action, solely stating it could comply with the "technologically groundbreaking" strategy of The Jungle Ebook.[[19]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-19) Whereas the movie acts as a remake of the 1994 animated movie, Favreau was impressed by the Broadway adaptation) of the movie for certain points of the remake's plot, notably Nala and Sarabi's roles.[[20]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-20) Favreau additionally aimed to develop his personal tackle the unique movie's story with what he mentioned was "the spectacle of a BBC wildlife documentary".[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21)
This serves as the ultimate credit score for movie editor Mark Livolsi, who died in September 2018.[22]#citenote-22) The movie is devoted to him.[[1]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-PressKit-1)

Casting

In mid-February 2017, Donald Glover was forged as Simba, with James Earl Jones reprising his position as Mufasa from the 1994 movie.[23]#citenote-23) In April 2017, Billy Eichner and Seth Rogen have been forged to play Timon and Pumbaa respectively.[[24]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-24) In July 2017, John Oliver was forged as Zazu.[[25]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-OliverCast-25) In August 2017, Alfre Woodard and John Kani have been introduced to play Sarabi and Rafiki), respectively.[[26]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-26)[[27]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-27)
Earlier in March 2017, it was introduced that Beyoncé was Favreau's best choice for the position of Nala) and that the director and studio can be keen to do no matter it took to accommodate her busy schedule.[28]#citenote-28) In a while November 1, 2017, her position was confirmed in an official announcement,[[29]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-29)[[30]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-30) which additionally confirmed that Chiwetel Ejiofor would play the position of Scar), and introduced that Eric Andre, Florence Kasumba, and Keegan-Michael Key would be the voices of Azizi, Shenzi and Kamari whereas JD McCrary and Shahadi Wright Joseph would be the voices of younger Simba and younger Nala, respectively.[[31]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-31)[[32]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-32)[[33]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-33)[[34]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-34)[[35]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-35) In November 2018, Amy Sedaris was introduced as having been forged in a task created for the movie.[[36]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-36)

https://preview.redd.it/z07sy0ajhga31.jpg?width=700&format=pjpg&auto=webp&s=408b58a2cc2475200dcb12819ecae96bfb73b880

Visible results

The Moving Picture Company, the lead vendor on The Jungle Ebook, will present the visible results and so they'll be supervised by Robert Legato, Elliot Newman and Adam Valdez.[37]#citenote-37) The movie will make the most of "virtual-reality instruments", per Visible Results Supervisor Rob Legato.[[38]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-LionKingD23-38) Digital Manufacturing Supervisor Girish Balakrishnan mentioned on his skilled web site that the filmmakers used motion capture and VR/applied sciences,[[39]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-:1-39) with the manufacturing crew combining VR expertise with cameras so as to movie the remake in a VR-simulated environment.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21) Sean Bailey, Disney's President of Manufacturing, referred to as the movie's visible results "a brand new type of filmmaking", and felt that "Historic definitions do not work", stating that "[it] makes use of some methods that will historically be referred to as animation, and different methods that will historically be referred to as live-action. It's an evolution of the expertise Jon [Favreau] utilized in Jungle Ebook".
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Music

Foremost article: The Lion King (2019 soundtrack))
Hans Zimmer, who composed the 1994 animated model, would return to compose the rating for the remake.[41]#citenote-41) Elton John additionally returned to transform his musical compositions from the unique movie earlier than his retirement,[[42]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-42) with Beyoncé aiding John within the remodelling of the soundtrack.[[43]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-43) John, the unique movie's lyricist, Tim Rice, and Beyoncé additionally created a brand new track for the movie,[[44]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-44) titled "Spirit)" and carried out by Beyoncé, which was launched on July 9, 2019, because of the lead single from the soundtrack.[[45]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TheGift-45) John and Rice additionally wrote a brand new track for the movie's finish credit, titled "By no means Too Late" and carried out by John.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46) The movie additionally options all of the songs from the unique movie, a canopy of The Token's "The Lion Sleeps Tonight", and the track "He Lives in You" from Rhythm of the Satisfaction Lands and the Broadway manufacturing.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46)The soundtrack, that includes Zimmer's rating and John and Rice's songs, was launched digitally on July 11, 2019, and will likely be bodily on July 19, 2019.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-Soundtrack-46)
Beyoncé additionally produced and curated an album titled The Lion King: The Gift, which can characteristic "Spirit", in addition to songs impressed by the movie. The album is about to be launched on July 19, 2019.[45]#cite_note-TheGift-45)

Advertising

The primary teaser trailer and the official teaser poster for The Lion King debuted throughout the annual Dallas Cowboys' Thanksgiving day came on November 22, 2018.[47]#citenote-EWTeaser-47)[[48]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-VarietyTeaser-48) The trailer was seen 224.6 million occasions in its first 24 hours, turning into the then 2nd most viewed trailer in that time period.[[49]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TrailerViews-49) A particular sneak peek that includes John Kani's voice as Rafiki) and a brand new poster have been launched in the course of the 91st Academy Awards on February 24, 2019.[[50]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-50) On April 10, 2019, Disney launched the official trailer that includes new footage which revealed Scar), Zazu, Simba and Nala) (each as cubs and as adults), Sarabi, Rafiki), Timon and Pumbaa and the hyenas.[[51]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-51) The trailer was seen 174 million occasions in its first 24 hours, which was revealed on Disney's Investor Day 2019 Webcast.[[52]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-52) On Could 30, 2019, 11 particular person character posters have been launched.[[53]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-53) A particular sneak peek that includes Beyoncé, Billy Eichner, and Seth Rogen's voices as Nala), Timon, and Puma respectively, was launched on June 3, 2019.[[54]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-54) A particular sneak peek that includes Beyoncé and Donald Glover's voices as Simba and Nana singing) "Can You Feel the Love Tonight" and in addition that includes James Earl Jones' voice as Mufasa, was launched on June 20, 2019.[[55]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-55) On July 2, 2019, Disney launched an intensive behind-the-scenes featurette detailing the varied points of the movie's manufacturing together with seven publicity stills that include the voice actors going through their animal counterparts.[[56]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-56)

Shot-for-shot declare

The trailers of the movie led to a declaration of its being a shot-for-shot remake of Disney's 1994 movie. On December 23, 2018, Sean Bailey, Disney's President of Manufacturing, mentioned that whereas the movie will "revere and love these elements that the viewers desires", there will likely be "issues within the film which might be going to be new".[40]#citenote-ScreenRant-40) On April 18, 2019, Favreau acknowledged that "some photographs within the 1994 animated movie are so iconic" he could not presumably change them, however "regardless of what the trailers counsel, this movie isn't just the identical film over once more",[[57]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-57) and later mentioned "it is for much longer than the unique movie. And a part of what we're doing right here is to (give it extra dimension) not simply visually however each story smart and emotionally."[[58]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-58) On Could 30, 2019, Favreau mentioned that a number of the humour and characterizations are being altered to be extra according to the remainder of the movie,[[59]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-59) and this remake is making some adjustments in sure scenes from the unique movie, in addition to in its construction.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-FavreauVideoGame-21)On June 14, 2019, Favreau mentioned that, whereas the unique movie's fundamental plot factors will stay unchanged within the remake, the movie will largely diverge from the unique model, and hinted that the Elephant Graveyard, the hyenas' lair within the authentic movie, will likely be changed by a brand new location.[[13]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-DirectorHyenas-13) On July 5, 2019, the movie was revealed to have a 118 minutes period, making it roughly 30 minutes longer than the unique movie.[[60]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-60)

Launch

The Lion King premiered in Hollywood on July 9, 2019.[61]#citenote-61) The movie is scheduled to be theatrically launched in America on July 19, 2019.[[62]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-62) It will likely be one of many first theatrical movies to be launched on Disney+, alongside Aladdin), Toy Story 4, Frozen 2, Captain Marvel), and Avengers: Endgame.[[63]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-63)
The movie started its worldwide rollout per week earlier than its home launch, beginning with July 12 in China.[64]#cite_note-ChinaPreview-64)

Reception

Field workplace

Starting on June 24, 2019 (which marked the 25th anniversary of the discharge of the unique movie), in its first 24 hours of pre-sales, The Lion King grew to become the second-best pre-seller of 2019 on Fandango) in that body (behind Avengers: Endgame), whereas Atom Tickets reported it gave their best-ever first-day gross sales for a household movie.[65]#citenote-Presales_record-65) Three weeks previous to its launch, business monitoring projected the movie would gross $150–170 million in its home opening weekend.[[66]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-66)[[67]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-67)
In China, the place it launched per week previous to the U.S., the movie was projected to debut to $50–60 million.[64]#citenote-ChinaPreview-64) It ended up opening to $54.7 million, beating the debuts of The Jungle Ebook and Magnificence and the Beast.[[68]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-68)

https://preview.redd.it/5xzol8ylhga31.jpg?width=700&format=pjpg&auto=webp&s=4a3aedd277ee3550808bfb314624587b23ed71b2

Vital response

On review aggregator web site Rotten Tomatoes, the movie holds an approval ranking of 59% based mostly on 123 evaluations, and an average rating of 6.45/10. The web site's important consensus reads, "Although it may take satisfaction in its visible achievements, this reimagined The Lion King is a by the numbers retelling that lacks the power and coronary heart that made the unique so beloved – although for some followers that will simply be sufficient."[69]#citenote-69) Metacritic gave the movie a weighted common rating of 57 out of 100 based mostly on 38 critics, indicating "blended or common evaluations".[[70]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-70)
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Kenneth Turan on the Los Angeles Times referred to like the movie "polished, satisfying leisure."[71]#citenote-71) Todd McCarthy at The Hollywood Reporter thought-about it to be inferior to the unique, noting, "The movie's aesthetic warning and predictability start to put on down on your entire enterprise within the second half."[[72]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-72) At The Guardian, Peter Bradshaw discovered the movie "watchable and pleasing. However, I missed the simplicity and vividness of the unique hand-drawn pictures."[[73]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-73)
A. A. Dowd, writing for The A.V. Club, summarized the movie as "Joyless, artless, and perhaps soulless, it transforms some of the putting titles from the Mouse Home vault into a really costly, star-studded Disneynature movie." Dowd bemoaned the movie's insistence on realism, commenting, "We're watching a hole bastardization of a blockbuster, without delay fully reliant on the viewers' pre-established affection for its predecessor and unusually decided to jettison a lot of what made it particular."[74]#citenote-74) Scott Mendelson at Forces condemned the movie as a "crushing disappointment": "At nearly each flip, this redo undercuts its personal melodrama by downplaying its personal feelings."[[75]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-75) David Ehrlich of IndieWire panned the movie, writing, "Unfolding just like the world's longest and least convincing deep fake, Jon Favreau's (nearly) photorealistic remake of The Lion King is supposed to characterize the following step in Disney's circle of life. As an alternative, this soulless chimera of a movie comes off as little greater than a glorified tech demo from a grasping conglomerate — a well-rendered however creatively bankrupt self-portrait of a film studio consuming its personal tail."[[76]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-76)
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Importance of Social Trading in Forex Brokerage

Social Trading Platforms has revolutionized the forex market to a great extent. It has been proven to be quite beneficial for new traders to learn new skills, strategies, and tactics for forex world in a short duration of time. But the question arises, “How are social trading platforms benefiting the forex brokers?”
If you are one of the forex brokers who already know some good strategies to earn good money in forex market, social trading platform might seem non-beneficial for you. But that is not true. A social trading platform is a strong tool from which forex brokers can highly benefit from.
Social Trading platform is a place where there is low risk of losing money in a forex market and therefore, new traders do not hesitate participating in forex market via these platforms. Participation of these new traders opens up a wide range of clients that brokers can acquire by having conversations, building trusts and gaining reliability from new traders. The lifetime of an average trader on social trading platforms are 14% higher than the ones who are not.
People follow experienced brokers on these social trading platforms. By making a good image and building a good relationship with your followers, you can actually retain all the followers. The new traders will build a trust in you and will be comfortable with your brokerage instead of going to a very new broker again.
Social trading platforms connects traders from almost all regions of the world. This can be the biggest platform to make more number of clientele. It will increase your trading activity by more than 50%. One of the reason behind this is traders can be from different time zones and will be active even in your downtime. Another reason for increased trading activity is whenever a broker opens a position, every new trader copying will also open the same position at the same time. When profiting by traders, these traders spend more time on these platforms which eventually increases trading activity and retention.
The attrition rates of social trading platforms are thus very low and it helps in boosting the retention of the traders. As a broker gets more and more followers, they tend to become a big community, attracting more new traders. The cycle thus grows and a forex broker can highly benefit from such social trading platforms, acquiring more and more traders every day.
Here is a list of forex brokers who are earning a big time using social trading platform as a tool.
  1. Jeroen Dekker with a gain percentage of 123.20% and 1905 Copiers.
  2. Fabian Gerspacher with a gain percentage of 47.08% and 1490 Copiers.
  3. Sergejs Kovalonoks with a gain percentage of 41.28% and 1631 Copiers.
There are more like them such as: LaserWinner on Zulu platform who has drawdown about 3 times than the average gains of other traders who do not use social trading platform opening 12 trades at the same time.
The average pip gains on these social trading platforms are at least 11-12 per trade. A broker named as TrendingFund have made over $15000 profit for their live followers. There are various such brokers (Janhne, 4exPirate, Jaynemenis, EdleMetalle, Luck Pound, Berrau, SyConNET, Liam Davies) who are making limitless profit from such social trading platforms.
The fond of social trading platforms are growing more and more in countries like Sydney, Tokyo, Hong-Kong, Bahrain, Zurich, London, Chicago, New York, San Francisco, Los Angeles, and many European and Asian countries as well. It has become the largest financial market in the world and registered a turnaround of more than 1600 billion dollars more and more traders are signing up on these social trading platforms to make a good trade and earn money. As the number of these new traders grows, the opportunities of high-end brokers to make a good client list grows.
How to become a Broker that other’s follow? Make a good record: Do not expect that as soon as you join a trading platform, people will start to follow you. People rely on your track record. So in early stages build a good track record which will encourage others to follow you.
Make sure you followers are also making good money: As soon as your followers will start making profits, it will encourage other traders to follow you. Real money speaks for itself.
Make a clear trading strategy and the same goes with your profile: The better your profile is, the reliable you look to the other traders.
Do not rely on automated systems completely: People rely on brokers who keep on making manual interventions with the change in market.
Set stop levels to manage risk: If you don’t keep a stop level, it will mean unlimited risk for your followers.
Keep check on your draw-down: It acts as a negative quotient for a broker’s account.
Keep a check on your winning percentage: Anything above 85% will portray that you carry a high draw-down risk because it will look like you were holding on to a losing position until it eventually turned positive again.
Communicate with your followers frequently: Keep them updated about your strategy and market. This habit will give your followers a sense that you analyze the market closely and hence you will react and adjust to market change effectively and much sooner.
Followers and traders look closely on how you react and behaved in a bad run: Keeping calm and sticking to your tried and tested principals could be your mantras. Do not start chasing your losses. It creates a bad impression on you followers and other traders.
Keep a track of your risks and traders and gradually you will build a remarkable network with immense profit. Internet in booming these days and so are these social trading platforms. Using these platforms can turn into your best decisions and one of your major income tool.
Reference Link - https://bit.ly/2rE9lli Visit www.simple2trade.com for more information.
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Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

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    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

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  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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123 Patterns Strategy 123 Strategy Simple 123 Forex Trader - 74 Real Trades, 85% Winning Ratio The 123 Trading Strategy Explained  123 pattern  The ... Picking Out The Strongest 123 Forex Setups

Forex Strategy: The 123 Reversal is a great universal strategy for profitability in the Forex and other markets. It's easy to learn and implement. The 123 Forex Swing Trading Strategy provides an opportunity to detect various peculiarities and patterns in price dynamics which are invisible to the naked eye. Based on this information, traders can assume further price movement and adjust this strategy accordingly. Forex Pattern 123 Indicator MT4 ... » Best Forex Trading Strategy » Importance of Trend Following. Forex Brokers Review » XM Review » eToro Review » Exness Review » FXOpen Review » RoboForex Review. Risk Warning Trading in the forex market is very risky. Thus, it is may not be for everyone. A highly leveraged position can work against the trader when the trade does not work as expected ... The 123 Trading Strategy Explained. Learn more about the 123 Trading Strategy. Read our article about this ultimate forex trading strategy and get profitable trading results! A Powerful 123 Trading Strategy System Tool for Traders. On the attached EUR/NZD hourly chart, there is quite a bit of volatility. If you searching to check The Best Forex Trading Platforms And 123 Strategy Forex Trading System price. The forex 1-2-3 price action pattern trading is most simple yet powerful forex strategy you’ll ever find. It work best when the patterns follow the direction of trend (it also works against the trend). The pattern is also easy to identify on the chart and you can find it every day. Guys ! we all know about Renko Charts, you can use this strategy which is really basic, simple but very very effective. For making good profit it's not that you need loaded Indicators and systems, sometimes a very basic system turns to be effective. Here i am discussing a system which always works. Clear entry and exit rules, you can use this system for scalping on 5 minutes to 15 Minutes ... The 123 Forex trading strategy is based on price action and normal Forex market structure that any trader should know. The 1 2 3 trading strategy is used as a continuation trading setup that is designed to take advantage of the trend of the market. The failure of the 123 trading strategy is also a trade setup but can also warn you of potential price consolidation in the market or even a trend ... The best thing of this forex trading strategy is that it has brilliant forex trading indicators in the main chart window to generate buy/sell signal and the indicator in the indicator window helps to verify the signal generated by the moving averages in the main chart window. As Trend CCI with 123 pattern strategy is a trend following forex trading system you should have a bit of knowledge of ... Trend CCI with 123 Pattern Strategy is a breakout trend following trading system. The main indicators of this strategy are 123 Pattern and double CCI. The pourpose of Trend CCI with 123 Pattern Strategy is find the intraday breakout.

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123 Patterns Strategy

The 123 Trading Strategy Explained - 123 pattern The Diary of a Trader Read Full Article: https://thediaryofatrader.com/top-strategies/trading-strategies-f... Best FX Trading Strategies (THE Top Strategy for Forex Trading) - Duration: 32:00. No Nonsense Forex 1,841,319 views. 32:00 . The Easiest Forex STRATEGY! You must watch! 🙄 - Duration: 12:36 ... How to Trade 123 Top and Bottom Formations - Duration: 12 ... 123 Strategy - Duration: 7:40. Buck Nasty Recommended for you. 7:40 . The Secret Code Of Successful MACD Trading (Strategies Included ... Here's an excellent video that explains how to identify the strongest 123 Forex Pattern setups. Must watch! (Excerpt from a coaching session) https://forexme... Visit the article at http://forex-strategies-online.com/123-patterns-forex-trading-strategy/ Fore more forex trading strategies visit http://www.forex-strate...

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