Forex for Beginners: Amazon.co.uk

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Agile Project Management 200+ Tools with Kanban Scrum Devops, The Python Programming v3.9 Comprehensive Bootcamp, Python And Flask Framework Complete Course, AWS Business Essentials - The Business Value of Amazon, Legal Document Automation using Documate
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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

List of FREE Udemy Courses and Amazon Kindle eBooks : Complete WebApplication Penetration Testing Practical C|WAPT , Python And Flask Demonstrations Practice Course , Learn Excel from beginner to advance with Example, Python & Machine Learning for Financial Analysis , The Self-Taught Programmer


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

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

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

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

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

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

Bibliography

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

Book Review : Basic Python for Finance

tl;dr - way better books out there
so the pros are
  1. it's cheap
  2. it's only 200 pages
cons
  1. it's poorly edited - some sections literally repeat themselves. in his defense it's self published, so proofreading, etc, may have been skipped for costs
  2. uncoded references - sharpe ratio, backtesting, connectivity - all mentioned, no examples given
  3. a number of trading strategies covered, but they're all two liners ( apart from an SMA crossover ), no code, no real discussion on them
in summary - it's a small book about graphing timeseries from pandas really. in parts it comes across as a rehash of other books or web pages, some of the data is lifted straight from other people's projects ( Jason Brownlee, etc ). says it covers stocks and bonds, but there's 5 lines covering bonds. apparently forex traders use timeseries to determines entry and exit points for stocks so, in conclusion, get one of Yves books.
best of luck
Link as requested
https://www.amazon.co.uk/gp/product/1699920257/ref=ppx_yo_dt_b_asin_image_o00_s00?ie=UTF8&psc=1
submitted by EdenHouse81 to algotrading [link] [comments]

The Daily Autist 03/31/20 For The Autists, By An Autist

The Daily Autist

03/31/20

TLDR Of The News To Inform Your Moves
Dumb bulls and gay bears, welcome. Robinhood falsely gave me a PDT warning so I can’t buy or sell anything until it’s fixed. Until 04/03 I’m effectively just a spectator as I can’t close any position I open. My QQQ and SPY options will expire worthless when the market closes due to not being able to close after opening positions to sell later in the day yesterday. So get ready for a bitter one. (I know RH is shit, but everywhere else requires minimum balances or an arbitrary pass/fail determination so it is what it is)

WSB Summary

Y’all can look forward to this being on the news in a day or two, or even longer if he ends up going to court over it. If ever you want to get back at a shitty email, the best thing to do is post it to Reddit rather than reply bitterly.
My broker (Questrade) wants me to sign an NDA saying I won't talk shit about them after offering me $1200 USD as compensation for losing $50000 from outages : wallstreetbets
A meme sums up the end of last week and Monday better than any article.
All it takes is a printer to save the day : wallstreetbets
This gentleman will insert a beer in his ass if there’s a -10% day “anytime soon.” So roughly two weeks. What a total retard and I salute him.
I will butt chug a Corona if we see another -10% day anytime soon : wallstreetbets

Corona Dump

Nothing says “If you help with the pandemic you will be punished,” quite like going viral because of a difficult moment then having your house blow away.
https://www.cnn.com/2020/03/30/us/arkansas-tornado-destroys-doctors-home-trnd/index.htmlAMZN fired the worker who spoke out about their policies. I would say puts on AMZN but since bad news = good news last the last week amazon should break 2k again very soon.
https://www.cnbc.com/2020/03/30/amazon-fires-staten-island-coronavirus-strike-leader-chris-smalls.html
Sections of GE that is still open and making other random medical and electrical shit are striking to divert their energy to ventilators. Kudos to them fr. https://www.independent.co.uk/news/world/americas/coronavirus-general-electric-workers-ventilators-work-stoppage-labor-massachusetts-a9436881.html
It’s almost like having healthcare be a for-profit industry means people will try to profit off medical treatments. I hate this “now I'm woke but in 3 months I won’t be,” garbage people are doing for clicks.
https://www.propublica.org/article/taxpayers-paid-millions-to-design-a-low-cost-ventilator-for-a-pandemic-instead-the-company-is-selling-versions-of-it-overseas-
Killing our medical workers due to negligence and worry for the market. I recommend reading this when the market closes as it’s a little long and not related to the market other than warning things will continue to get worse rather than better for the near future stability wise.
https://www.medscape.com/viewarticle/927811?nlid=134774_3901&src=wnl_newsalrt_200330_MSCPEDIT&uac=24257DJ&impID=2329672&faf=1

Business/Finance

Now that Canada passed the extra stimulus for its citizens Air Canada laid off its employees. This is how it was supposed to work for the US. Still, a sign that if not artificially kept afloat by the government these airlines are fucked.
https://www.thestandard.com.hk/breaking-news/section/2/144720/Air-Canada-lays-off-16,500-staff-due-to-virus
Turns out the two most rapidly growing and advancing countries will continue to grow and advance while the rest of the world falls backward. 200 IQ play by China
https://m.economictimes.com/news/economy/indicators/world-economy-will-go-into-recession-with-likely-exception-of-india-china-united-nations/articleshow/74905696.cms
China is reopening manufacturing. They have enough people to let the virus do it’s thing and not care. They don’t have audited medical numbers. This is bad for short term puts.
https://www.reuters.com/article/us-china-economy-pmi-factory-official/china-factory-activity-unexpectedly-expands-but-economy-unable-to-shake-off-virus-shock-idUSKBN21I05S
USD continues to be king. What a time to be alive.
https://www.reuters.com/article/global-forex/forex-dollar-gains-yuan-steady-after-china-pmi-in-cautious-trade-idUSL4N2BO1NJ
Futures continue their bullish trend with another 1% gain overnight. Until there’s another manic day of 6%+ it’s looking the bulls are still in control in a stable manner.
https://www.foxbusiness.com/markets/stock-futures-trade-cautiously-higher-after-mondays-rally
Premarket 261-263 all morning. What is this boring stable shit? 261.93 at time of posting (06:50 EST)

NostraLosses Prediction:

Keep buying short term calls until there’s a significant signal otherwise. All the DD in the world gets wiped out by a heavy enough BRRRRRRRt. I got some far OTM calls to hedge my put bets Friday EOD and Monday and if it weren’t for the false PDT warning I would have almost made back the losses to be back to even. So try not to go full retard on the puts, and if you can afford it, don’t use Robinhood.

Post your thoughts, questions, complaints, compliments, and plays in the comments.

Edited for formatting errors due to importing from Grammarly.
submitted by AvocadosAreMeh to wallstreetbets2 [link] [comments]

Seven figure affiliate marketer specialising in Amazon Associates (AMA)

Hello all.
The reason I am starting this AMA is because I want to give back to the community, many years ago when I first started in online marketing, a few people I bumped into online helped me massively when I was a complete noob. I recall a guy called Steve (not even sure where we first started talking) but I remember hassling him all the time, asking him really basic stuff such as 'how do I change my name servers' and 'how do I setup one HTML page to link to another' he never once ignored me and always helped me.
Then there were a varied bunch on Digital Point forums and Niche Chopper forums who helped massively when I was getting into affiliate marketing, Clickbank mainly and using SEO & PPC to drive traffic.
To put it bluntly, I am very grateful for the people that have helped me out over the years. Their support and my own persistence has helped me to achieve what I've achieved and I thought what better way to give back, than to do an AMA in a community which I feel is as close as resemblance as that of the communities of my past.
So, before we start, let me quickly go through what I am experienced in, as there is no point people asking questions I can't help to answer. I started affiliate marketing in 2007, after joining Digital Point forum, first it was proxy websites and Google Adsense and then selling proxy advertising on Yahoo Groups I'd built and then an SEO blog and Clickbank and a whole variety of other Clickbank products (forex, health, DJ recording software e.t.c.) then I was a vendor on Clickbank, then I sold that website. Then I began to focus on Amazon Associates and I've pretty much focused on that ever since, alongside third party monetisation with advertising platforms such as AdThrive, Affiliate Window, CJ and ShareaSale.
I am fortunate enough to be able to say I have made seven figure profits in this time all from Amazon Associate based websites, I've sold seven figure websites and bought six figure websites, I am from the UK and have a limited company.
Note: if one of the mods needs to verify any of these things, just message me, I appreciate it might look odd as I've used a throwaway account.
So ask away, I'll try my best to be as detailed as possible but there are a few things I have to keep confidential due to contracts e.t.c.
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2020 on Forex: the new forecasts

The coronavirus has changed everything. When analysts gave forecasts for 2020 at the end of last year, no one could foresee that the whole world would be seized by the pandemic. Call it a “black swan” or not, it’s necessary to re-evaluate the situation and adjust the medium- and the long-term outlook. Below you will find the analysis of the main Forex drivers and the overview of the prospects for the key commodities.

US recession

In 2019, economists had some fears of a potential US recession. Well, they were right not only about the USA, but also about the whole world as lockdowns pushed every country to the deep downturn. Now it’s clear that earlier the view was naturally more optimistic. How encouraging the US unemployment rate and NFP were at the end of 2019! We couldn’t imagine at that time that more than 33 million Americans would lose jobs and economic activity would fall to unprecedented lows. The Fed made a dire scenario for the prolonged US recession. All the needed measures have been taken, almost 3 trillion dollars were provided to support the market and additional aids are expected. Anyway, the US dollar gains as a safe-haven currency. The collapse of USD this year remains highly unlikely.

Central banks’ monetary policy

In December, we expected the Federal Reserve to be patient in its monetary policy decisions. At the same time, we didn’t underestimate the power of rate cuts due to recession fears. Coronavirus outbreak flipped the script with the Federal Reserve unveiling outstanding measures to support the suffering economy. The first rate cut from 1.5-1.75% to 1-1.25% happened at the beginning of March and was followed by an even bigger rate cut to the range of 0-0.25% just after a week. At the same time, the regulator announced an unlimited buying of mortgage-backed securities and plans to buy corporate bonds and bonds backed by consumer debt. Moreover, the Fed Chair Jerome Powell didn’t exclude the possibility of negative interest rates. Even though our forecasts were not 100% accurate, the upside for the USD has been indeed limited. As for the stock market, after a shock wave caused by Covid-19, the ultra-loose monetary policy pushed the indices up.
Other major central banks also joined the easing game. The Reserve banks of Australia and New Zealand cut their interest rate to unprecedented lows of 0.25%. The Bank of England and the Bank of Canada lowered their interest rate as well to 0.1% and 0.25% respectively. As for the European Central bank, it keeps the zero interest rate on hold. The supportive tool the ECB presented is the 750 billion euro Pandemic Emergency Purchase Programme (PEPP) aimed to counter the serious risks to the outlook of the Eurozone.
As all major central banks conduct almost similar easing policy, the Forex pairs can fluctuate within certain levels for a long period. That is actually a good news for range-bound traders, as channels are expected to remain quite strong.
ECB
The European Central Bank let the market know that it was aiming to do whatever it takes to save the euro area from the coronavirus damage. However, trouble always brings his brother: Germany was so tired to be the sponsor of the unlimited bond-purchasing ECB program that the German court claimed that it actually violated constitution. Now, the ECB has three months to explain that purchases were "proportionate". The ECB credibility is under threat as Germany may pull out of the next ECB's bond purchases. This situation has made euro quite volatile.

Brexit

Boris Johnson hasn’t kept his promise “to get Brexit done” yet. However, we can forgive him for that as this year brings much worse problems to deal with. Now, when countries are getting over the coronavirus shock, the UK and EU should hold the last round of trade talks and finalize an agreement by the end of December. Some analysts are skeptical about that. They think the deadline could be extended beyond the end of December, leaving the UK subject to tariffs on most goods. This would be devastating for the British pound. The sooner the UK and EU make a deal, the better for GBP.

Oil

Oil prices spent last year between $50 and $70. December was positive with the US and China ceasing fire in the trade war and OPEC extending production cuts. Possibility of a scenario where prices drop to 0 and below was absolutely inconceivable even for the most pessimistic observers, and yet it came true. It marked the beginning of 2020 with historically unseen turbulence, even apart from the coronavirus hit.
In the long term, however, there are all fundamentals for oil prices to get back to where they were. However, that may not happen this year. Observers predict that oil prices will recover to the levels of $55-60 if there is nothing in the way during the year. Otherwise, $30 is seen as the safest baseline level for the commodity during 2020.

Stocks

Just like in 2019, the stock market had a nightmarish beginning of 2020. S&P lost 35%, with some stocks losing more than 50% of value. As the summer season is coming, the market sees 50% of the losses recovered in most sectors. While the shape of recovery is being discussed, most analysts agree that after the worst-performing Q2, the S&P will continue restoring its value.
Notice that the situation is different for different stocks. Locked by the anti-virus restrictions, most of the world population was forced to spend weeks and months at home facing their TVs, laptops, and desktops. That made strong Internet-related companies blossom, so we saw Amazon and Netflix rise to even higher value than before the virus. On the contrary, the healthcare sector struggling to invent the vaccine saw Moderna, BionTech, Inovio, and other new and old pharma companies surge to unexpected heights.
IT and Internet communications companies will likely gain much more attention during the year.
Google, Nvidia, Disney, Apple, and many more around the IT and Internet sectors have the full potential to spearhead the S&P in 2020 and further on.
submitted by FBS_Forex to u/FBS_Forex [link] [comments]

What can I invest in that's low risk?

Hi, I'm currently a uni student in the UK doing a time intensive course and I'm looking for a way to make money without being too dependent on parents. I have worked for the first week of the holidays and have just invested my money in matched betting, and although I know I can still make money after the welcome offers run out, I don't want to rely on it too much.
I was wondering what to use the money I gain from matched betting on to make even more money. I want to learn Forex trading but that seems like such a high risk option. I was wondering if buying from Alibaba and selling on eBay/ Amazon was a good option, but again, I don't want to invest into the wrong product and lose a tonne of money.
Any advice?
submitted by stupidyute to investing [link] [comments]

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  820. brokeabone
  821. discord_irl
  822. excitingdystopia
  823. BenBashiroLore
  824. VaushV
  825. ABoringDystopia
  826. FristOfAllHowDareYou
  827. hamsters
  828. SubredditSimMeta
  829. TropicalWeather
  830. Landlord
  831. AntifascistsofReddit
  832. hamstercare
  833. vexillologycirclejerk
  834. therewasnoattempt
  835. ennnnnnnnnnnnbbbbbby
  836. RealSolarSystem
  837. u_CondomCrusader69
  838. band
  839. FlexSealFanClub
  840. Armor
  841. MemeFormats
  842. Puberty
  843. conceptart
  844. CondomKingdom
  845. u_Some16yoLosr
  846. FireEmblemHeroes
  847. FondantLove
  848. LaCrescentMN
  849. u_PugMage101
  850. darkvideos
  851. u_Sadness92
  852. PERSoNA
  853. JacksFilms
  854. jschlatt
  855. castlevania
  856. stfuretard
  857. CloneWarsMemes
  858. DeepFried
  859. legostarwars
  860. u_DVproductions64
  861. KamikazeByWords
  862. ImGoingToHellForThis
  863. linuxmemes
  864. codes
  865. crypto
  866. cpp_questions
  867. Laptop
  868. debian
  869. Kalilinux
  870. PHP
  871. TOR
  872. Doomers
  873. learnpython
  874. RecRoom
  875. orbusvr
  876. VirtualDesktop
  877. bigscreen
  878. ProTubeVR
  879. VRchat
  880. OculusQuestModding
  881. Borderlands2
  882. DeathToBuzzfeed
  883. deadbabyjokes
  884. u_MCT1233
  885. kpop
  886. crystalclear
  887. GIDLE
  888. pokemongoyellow
  889. bidle
  890. unpopularkpopopinions
  891. HermitCraft
  892. ItHadToBeBrazil
  893. grian
  894. MumboJumboYouTube
  895. recycling
  896. usernamefamily
  897. BirdsArentReal
  898. u_Gay_Papa
  899. BSA
  900. u_ConsumeSyrup
  901. ModdedMinecraft
  902. ROBLOXmemes
  903. gangbeasts
  904. Discussion
  905. CrossCountry
  906. fuck
  907. FML
  908. TonightsBigLosers
  909. skeppy
  910. mcservers
  911. pussypassdenied
  912. backgrounds
  913. IsThereASubredditFor
  914. BulletHellMonday
  915. u_whyMYpeepeeGREEN
  916. marchingband
  917. TuberSimulator
  918. FosterTheCirclejerk
  919. GiftofGames
  920. deadmeatjames
  921. AshVsEvilDead
  922. GachaLifeCringe
  923. IntotheDarkHulu
  924. ChernobylMemes
  925. asl
  926. Hong_Kong
  927. vexillology
  928. imaginarymaps
  929. mountaindew
  930. SurrealApprovals
  931. Blessed_Images
  932. Metallica
  933. ainbow
  934. u_Mr-Damaged
  935. SmallYTChannel
  936. skype
  937. FamilyIssues
  938. FellowTeens
  939. MinecraftParodyMemes
  940. BloodyLegends
  941. DankMemes_Circlejerk
  942. cursedminecraftimages
  943. TeenagersUnrelatable
  944. reddeadfashion
  945. reddeadmemes
  946. itswooshwith2os
  947. phones
  948. Fishers
  949. Quizlet_Live_Raids
  950. CutePuppyPics
  951. u_Wakeless_place
  952. SeenElsewhere
  953. GreyStillPlays
  954. LazarBeam
  955. FUCKYOUINPARTICULAR
  956. stein_world
  957. perfectphotos
  958. PhoenixSC
  959. Crayfish
  960. MinecraftVsFortnite
  961. CallOfDutyWorldWarTwo
  962. hypixel
  963. videomemes
  964. KeanuReeves
  965. ubisoft
  966. jacksepticeye
  967. Filmora
  968. montreal
  969. ComradeSShow
  970. InsiderMemeTrading
  971. unnamedfanbase
  972. LoomianLegacyTrading
  973. AnimalCrossingNewLeaf
  974. AdoptMyVillager
  975. papermario
  976. Memeconomy
  977. TooCuteForPorn
  978. ben
  979. GTAV
  980. smplive
  981. galaxybuds
  982. AMCsAList
  983. TwitchClips
  984. Spellbreak
  985. QueerEye
  986. jesuschristouija
  987. u_randomflyingcars
  988. onebag
  989. networking
  990. Dappermemes
  991. CrazyIdeas
  992. hardware
  993. beagle
  994. BoomerTears
  995. keto
  996. european_dankmemes
  997. QuantumSubreddits
  998. TeenMomOGandTeenMom2
  999. WeightLossAdvice
  1000. RLFashionAdvice
  1001. MetalMemes
  1002. systemofadown
  1003. guitarcirclejerk
  1004. drums
  1005. Megadeth
  1006. weightlifting
  1007. gmod
  1008. avengedsevenfold
  1009. airsoftcirclejerk
  1010. paintball
  1011. arma
  1012. joinsquad
  1013. AOC
  1014. fakeobituary
  1015. fuckmanny
  1016. JustBeWhite
  1017. GODUS
  1018. fuckalinity
  1019. adventurerscodex
  1020. slavbot
  1021. Meme_Battles
  1022. u_Trollium2166
  1023. gtavcustoms
  1024. 350z
  1025. Hawaii
  1026. Scootering
  1027. skate3
  1028. bmx
  1029. arizona
  1030. Sunsets
  1031. projectcar
  1032. Mustang
  1033. snowboarding
  1034. Boxing
  1035. u_slyone05
  1036. gank
  1037. ForHonorWuLin
  1038. bruhfunny
  1039. ForHonorRants
  1040. ProjectJojo
  1041. ProGreenStarPlatinum
  1042. fanStands
  1043. nothingeverhappens
  1044. imveryedgy
  1045. stupidquestions
  1046. forhonorknights
  1047. UnexpectedForHonor
  1048. ShootingFishInABarrel
  1049. RubberSoulMains
  1050. JojoHFTF
  1051. UnexpectedJoJo
  1052. undetectedsabaton
  1053. Battlefield
  1054. MillenniumDawn
  1055. fightsticks
  1056. okuyasu_irl
  1057. Stepmania
  1058. WOOOOOOSHED
  1059. shigechi_appreciation
  1060. completelyrealtexts
  1061. SteamScams
  1062. Powerwolf
  1063. u_KindStrangerOnReddit
  1064. PvZHeroes
  1065. Fish
  1066. JuiceWRLD
  1067. Gatorade
  1068. SelfHate
  1069. UgandaKnuckles
  1070. depressed
  1071. walouija
  1072. WeirdQuites
  1073. askdoctors
  1074. u_White0000
  1075. TrollXChromosomes
  1076. NarutoBlazing
  1077. u_Datnotguy17
  1078. howtokeepanidiotbusy
  1079. AyyMD
  1080. Jreg
  1081. wheresMwaldo
  1082. Political_Tumor
  1083. Purdue
  1084. GamingDetails
  1085. Handwriting
  1086. CrossView
  1087. SharedBPM
  1088. test
  1089. Stonetossingjuice
  1090. PictureGame
  1091. explainabookplotbadly
  1092. DuwangGang
  1093. Meemagers
  1094. CallMeCarson
  1095. ToolJerk
  1096. cursedmemes
  1097. virtualbeggar
  1098. left4dead
  1099. bigbangedmemes
  1100. whatintarnation
  1101. comicbookcollecting
  1102. Trophies
  1103. u_lilsusnibba
  1104. subredditwithnorules
  1105. homestuck
  1106. lux
  1107. TeamfightTactics
  1108. Wukongmains
  1109. LeagueofFailures
  1110. LeagueOfMemes
  1111. ezrealmains
  1112. akalimains
  1113. yuumimains
  1114. YIMO
  1115. botlanetinder
  1116. supportlol
  1117. MordekaiserMains
  1118. YasuoMains
  1119. neekomains
  1120. ApheliousMains
  1121. LEMMiNO
  1122. space
  1123. wwiipics
  1124. u_alt_1236
  1125. FiftyFiftyDev
  1126. MercyClub
  1127. Normies
  1128. wooooshwith4os
  1129. DungeonsAndDragons
  1130. spongebob
  1131. FromTheDepths
  1132. SpaceflightSimulator
  1133. BeardedDragons
  1134. Spore
  1135. TeenAstronomy
  1136. HistoryPorn
  1137. u_OneStrikeyBoi
  1138. tylerthecreator
  1139. PictureRap
  1140. CryptoftheNecrodancer
  1141. Teens4Teens
  1142. freenagers
  1143. RamenRegime
  1144. SemenTeam
  1145. Pitland
  1146. insaneparents
  1147. 90DayFiance
  1148. Chinesetourists
  1149. interracialdating
  1150. PutAnEggOnIt
  1151. drawings
  1152. u_kayasphotographs
  1153. mildlycreepy
  1154. likeothergirls
  1155. kahootgames
  1156. PoliticalCompassMemes
  1157. mood
  1158. cfbsober
  1159. TIGoogled
  1160. fsusports
  1161. rolltide
  1162. NewYorkMets
  1163. HuntsvilleAlabama
  1164. nfl
  1165. minnesotavikings
  1166. KarmaCourt
  1167. CFBOffTopic
  1168. Teenageers
  1169. 3BeansAndABeerCap
  1170. popheadscirclejerk
  1171. PuppySmiles
  1172. Komi_san
  1173. freebies
  1174. zerowondering
  1175. 177013
  1176. untrustworthypoptarts
  1177. subredditcancer
  1178. SubwayHentai
  1179. TsundereSharks
  1180. bee_irl
  1181. banned
  1182. LGBTOpenModmail
  1183. u_Rulx8
  1184. The_Dedede
  1185. NintendoWaifus
  1186. pchelp
  1187. SweetHomeAlabama
  1188. SmallYoutubers
  1189. Advertise
  1190. Suddenlybabyimyours
  1191. Lolitary
  1192. PornoMemes
  1193. clevercomebacks
  1194. SpaceMemes
  1195. TankPorn
  1196. AbandonedPorn
  1197. Hbonds
  1198. Jewdank
  1199. LiveLikeLarry
  1200. birdswitharms
  1201. SchoolSystemBroke
  1202. popping
  1203. okboomerretard
  1204. plants
  1205. PhonesAreBad
  1206. SavageGarden
  1207. airplaneears
  1208. shutthefuckup
  1209. mermaids
  1210. OriginalCharacters
  1211. tuckedinkitties
  1212. RoastMyCat
  1213. curledfeetsies
  1214. Hellenism
  1215. yandere_simulator
  1216. catsareliquid
  1217. trichotillomania
  1218. lazarbeamsubmissions
  1219. dark_humor
  1220. fucksauerkraut
  1221. TheBeatles
  1222. produce
  1223. French
  1224. LilPeep
  1225. GitCommitDie
  1226. u_Brisingr_105
  1227. MarioMaker
  1228. gamingsuggestions
  1229. animation
  1230. FortniteCreative
  1231. ShrineOfFishstick
  1232. FortNiteMobile
  1233. FortniteSwitch
  1234. mariokart
  1235. u_Rodolfo20
  1236. jordancambridge
  1237. emu
  1238. beermoney
  1239. badminton
  1240. vlone
  1241. TimHortons
  1242. Repsneakers
  1243. TakashiMurakami
  1244. stamps
  1245. yeezys
  1246. DesignerReps
  1247. Rabbits
  1248. DesignMyRoom
  1249. LegitCheck
  1250. Hypebeasts
  1251. Bape
  1252. bapeheads
  1253. kaws
  1254. painting
  1255. vintage
  1256. insects
  1257. fossilid
  1258. Crystals
  1259. u_HanzAAli
  1260. PixelPeople
  1261. lifeisnotjust
  1262. RedditTrollss
  1263. notsureifgoodadvice
  1264. speedrun
  1265. gtavmodding
  1266. JJBA
  1267. whoooosh
  1268. Conrandom
  1269. Birbs
  1270. u_trash5652
  1271. BattleJackets
  1272. guitarlessons
  1273. virginvschad
  1274. Ghostbc
  1275. oldinternet
  1276. Moomins
  1277. Shuffles_Deck
  1278. Vent
  1279. Sims4
  1280. ShittyAdverts
  1281. saudiarabia
  1282. stopsmoking
  1283. ProRevenge
  1284. yaris
  1285. carporn
  1286. u_ThePinkPanda205
  1287. MadeOfStyrofoam
  1288. 5sos
  1289. GAAB350
  1290. formuladank
  1291. xqcow
  1292. whatsthisworth
  1293. GenZ
  1294. danduscirclejerk
  1295. andyterracianofanclub
  1296. radicalcentrism
  1297. killthosewhodisagree
  1298. onlinemischief
  1299. aromantic
  1300. u_TheAceOfToasters
  1301. javahelp
  1302. TheArcana
  1303. AquaticAsFuck
  1304. JohnMulaney
  1305. Assistance
  1306. doodles
  1307. sadcats
  1308. April11Gang
  1309. tomodachilife
  1310. Chonkers
  1311. Multicopter
  1312. ElectricSkateboarding
  1313. subaru
  1314. radiocontrol
  1315. Battlecars
  1316. CafeRacers
  1317. Jeep
  1318. AwesomeCarMods
  1319. rccars
  1320. whatsthissnake
  1321. CalamariRaceTeam
  1322. HotWheels
  1323. outrun
  1324. FPVvideos
  1325. PraiseTheCameraMan
  1326. saladsmiles
  1327. MobileGaming
  1328. techhelp
  1329. Competitiveoverwatch
  1330. Boblin
  1331. PlayINGRust
  1332. WarframeRunway
  1333. u_haggartt
  1334. earthbound
  1335. VizzedGames
  1336. OldReposts
  1337. misheard
  1338. area51
  1339. sharktank
  1340. awesome
  1341. u_PragatiBuffett
  1342. mediawiki
  1343. robertdowneyjr
  1344. JoJoMemes
  1345. u_Gameman740
  1346. ExpandDong
  1347. KarmaSacrifice
  1348. Minecraftbuilds
  1349. Foodlottery
  1350. MisfitShitposts
  1351. JellesMarbleRuns
  1352. Marblelympics
  1353. u_Donghoon
  1354. DhruvTheKid
  1355. RushWars
  1356. RicoGang
  1357. The4KMegaBox
  1358. shittybrawlstars
  1359. SmashLand
  1360. Cosmic_Clash
  1361. barleygang
  1362. DrMarioWorld
  1363. Archero
  1364. golfblitz
  1365. TickGang
  1366. NewSkaters
  1367. TheLetterH
  1368. Crushes
  1369. KarmaRoulette
  1370. u_Manasveer
  1371. UnexpectedThanos
  1372. depression_memes
  1373. u_Banapple101
  1374. drphil
  1375. ShittyPhotoshop
  1376. ft86
  1377. iilluminaughtii
  1378. showerthoughs
  1379. TheBrotherhoodofBros
  1380. MyBloodyValentine
  1381. SamandTolki
  1382. radiohead
  1383. radioheadcirclejerk
  1384. rantgrumps
  1385. googletranslate
  1386. ConspiracyGrumps
  1387. shoegaze
  1388. MichaelJackson
  1389. ClubPenguin
  1390. Toontown
  1391. rumney_marsh_academy
  1392. saplings
  1393. Pomade
  1394. playboicarti
  1395. Adorable_Animals
  1396. OverwatchUniversity
  1397. u_IOPasGhoulTrooper
  1398. CitadelOfSkins
  1399. heathernotpleased
  1400. comingout
  1401. ShitFortNiteBRSays
  1402. fortniteparentsclub
  1403. Cello
  1404. Golfwang
  1405. EveryoneIsAMod
  1406. LightModePatrol
  1407. JadenSmith
  1408. SuddenlyHitler
  1409. FilthyFrank
  1410. VeronaNJ
  1411. evilbuildings
  1412. cursedvideos
  1413. danktintinmemes
  1414. AwardSpeechEdits
  1415. AgainstHateSubreddits
  1416. deepweb
  1417. TeenagersTalkPolitics
  1418. shortcels
  1419. CURRENCY
  1420. WarriorCats
  1421. thedawnpatrol
  1422. upvote
  1423. theydidthemonstermath
  1424. u_ii_karmakun_ii
  1425. HumanTippyTaps
  1426. SamePicOfSteveHarvey
  1427. onionhate
  1428. redbubble
  1429. Tennessee
  1430. singapore
  1431. NuclearRevenge
  1432. JUSTNOMIL
  1433. jesuschristreddit
  1434. FlashTV
  1435. LegendsOfTomorrow
  1436. westworld
  1437. boringdystopia
  1438. dankjewishmemes
  1439. crazystories
  1440. calculators
  1441. LatinoPeopleTwitter
  1442. Dachshund
  1443. AdrenalinePorn
  1444. Dance
  1445. u_Santolmo
  1446. hardwaregore
  1447. dankgentina
  1448. fake90skids
  1449. reactionpics
  1450. ImagesYouCanHear
  1451. tf2shitposterclub
  1452. Nightmares
  1453. themonkeysotherpaw
  1454. transpositive
  1455. FifaCareers
  1456. PremierLeague
  1457. spiders
  1458. downvotesreally
  1459. coldshowers
  1460. puppy101
  1461. chanceme
  1462. trackandfield
  1463. architecture
  1464. orlando
  1465. ACT
  1466. YeetingKids
  1467. ParentsAreFuckingDumb
  1468. peopleofwalmart
  1469. donaldtrump
  1470. aethism
  1471. Relatable_RC
  1472. NewVegasMemes
  1473. CursedMinecraft
  1474. Area51memes
  1475. admincraft
  1476. fnv
  1477. humblebundles
  1478. blackmagicdesign
  1479. Crouton
  1480. promotereddit
  1481. itplaysit
  1482. youtubecomments
  1483. Ebay
  1484. gamecollecting
  1485. smashmemes
  1486. Mordhau
  1487. namenerds
  1488. greatpyrenees
  1489. sexyoffbrands
  1490. bottlephilia
  1491. u_limeylucio
  1492. sodapoppin
  1493. feminazi
  1494. yiffinhell
  1495. gravityfallsmemes
  1496. rmeme
  1497. u_I_am_Inevitable_Boi
  1498. awardbrag
  1499. redstone
  1500. Lightmodevsdark
  1501. PunPatrol
  1502. CrazyHand
  1503. e46
  1504. EngineBuilding
  1505. E46M3
  1506. Cartalk
  1507. KarmaConspiracy
  1508. MobileWallpaper
  1509. firstworldanarchists
  1510. Tabs
  1511. apolloapp
  1512. futurama
  1513. puzzles
  1514. SundaraKarma
  1515. Dreamers
  1516. programminghelp
  1517. firebrigade
  1518. drumcorpscirclejerk
  1519. fonts
  1520. OverwatchLeague
  1521. ChurchofFroppy
  1522. webhosting
  1523. Wordpress
  1524. PlantsVSZombies
  1525. StreetOutlaws
  1526. lgv30
  1527. Parents
  1528. MarioMaker2
  1529. TheWeeknd
  1530. u_Mind_The_PePe
  1531. DDLCMods
  1532. parrots
  1533. donthelpjustfilm
  1534. AccidentalRacism
  1535. u_Jimcuchim
  1536. Teachers
  1537. Amberlynn
  1538. TaylorSwift
  1539. UnlockedRedditAds
  1540. GTBAE
  1541. TouchThaFishy
  1542. That70sRetard
  1543. Indiana
  1544. ARK
  1545. shitpostbound
  1546. Philippines
  1547. DoctorBright
  1548. goodboys
  1549. blop
  1550. ThatsWhatSheSaid
  1551. watch_dogs
  1552. unexpectedoffice
  1553. birthofasub
  1554. unexpectedskyrim
  1555. Peopleoftwitch
  1556. ModSupport
  1557. CoolPetNames
  1558. amazonreviews
  1559. TwoRedditorsOneCup
  1560. CameHereToSayThis
  1561. WOSH
  1562. smartwatch
  1563. Reddit69420
  1564. u_Its-Ya-Boi-Satan
  1565. Boomer
  1566. InstaPoliceHere
  1567. FanStorytime
  1568. stories
  1569. bullying
  1570. MachineLearning
  1571. redsox
  1572. PrettyGirls
  1573. ChickenRunsAtMidnight
  1574. LimeOfTheCentury
  1575. SnapLenses
  1576. IRLEasterEggs
  1577. garfield
  1578. OkBubbyRetard
  1579. Ascendedfaketexts
  1580. matt
  1581. Patriots
  1582. nonutnovember
  1583. u_u-u_u-u_u
  1584. HeadphoneAdvice
  1585. SequelMemes
  1586. u_2006pow
  1587. YeetlordYT
  1588. CarlTheHedgehog
  1589. tall
  1590. aftergifted
  1591. EUR_irl
  1592. teenmartialarts
  1593. FostTalicska
  1594. u_Hm_Moonlight
  1595. MildlyVandalised
  1596. PhantomForces
  1597. OfficialSlazo
  1598. AJR
  1599. pokemongotrades
  1600. FreePlatinum
  1601. SnowTheGame
  1602. ggggg
  1603. GayTeensGoneMild
  1604. ruralporn
  1605. CityPorn
  1606. Surface
  1607. flightsim
  1608. AndroidWear
  1609. u_GamerWick
  1610. Myles_is_lonely
  1611. u_lesqie
  1612. UnexpectedHamilton
  1613. ComedySeasoning
  1614. AmateurPhotography
  1615. oldpeoplefacebook
  1616. Ticos
  1617. LemonySnicket
  1618. accidentalswastica
  1619. VACCINES
  1620. nealstephenson
  1621. sexualhealth
  1622. Forgotten_Realms
  1623. makeaband
  1624. AskLosAngeles
  1625. musicians
  1626. Guiltygear
  1627. MyHeroAcademiaRPG
  1628. AdventurersLeague
  1629. sallyface
  1630. TikTokCringe
  1631. darkmemes
  1632. EntitledBitch
  1633. Trufemcels
  1634. sad
  1635. PanPorn
  1636. BeautyBoxes
  1637. Ipsy
  1638. u_cottonorwool
  1639. pcmusic
  1640. intermittentfasting
  1641. angry
  1642. socialanxiety
  1643. u_Jumpspider74
  1644. cowboys
  1645. Mavericks
  1646. dolphinconspiracy
  1647. rule34
  1648. ImaginaryHorrors
  1649. DarkDeception
  1650. fuckea
  1651. u_pupperoni-421
  1652. coloringcorruptions
  1653. fbla
  1654. Amd
  1655. ChivalryGame
  1656. DrDisrespectLive
  1657. intel
  1658. esports
  1659. G502MasterRace
  1660. drumcorps
  1661. HeartHorny
  1662. u_crusty_bread_crust
  1663. holesome
  1664. oddlypacific
  1665. maths
  1666. demons
  1667. Physics
  1668. MusicianTeens
  1669. teenagerswithoutrules
  1670. DontPutItInYourAss
  1671. vro
  1672. traadustCrusaders
  1673. yugioh
  1674. BleachBraveSouls
  1675. okayfacebookmemes
  1676. realdonald_forreal
  1677. berserklejerk
  1678. Berserk
  1679. mangarockapp
  1680. MotorcyclePorn
  1681. ExNoContact
  1682. forza
  1683. Thunder
  1684. nbacirclejerk
  1685. ShitMomGroupsSay
  1686. strangehabits
  1687. madladcrusaders
  1688. u_ThatBoi1994
  1689. RedDeadOnline
  1690. u_WitnessMe015
  1691. communism
  1692. AgeplayPenPals
  1693. Poem_for_your_sprog
  1694. Polytopia
  1695. KingdomsandCastles
  1696. u_tarka_d0_sera
  1697. catfaceplant
  1698. AskQuija
  1699. educationalgifs
  1700. Rubiks_Cubes
  1701. u_WCon69
  1702. PoliticalMemes
  1703. Corridor
  1704. postprocessing
  1705. askspain
  1706. Svenska
  1707. buffy
  1708. newjersey
  1709. succulents
  1710. learnspanish
  1711. kimbra
  1712. blackmirror
  1713. john
  1714. asklaw
  1715. CardiB
  1716. ForeverAloneDating
  1717. BruceCampbell
  1718. deadrising
  1719. police
  1720. thebeachboys
  1721. LeavingNeverlandLies
  1722. LeavingNeverlandHBO
  1723. LeavingNeverland
  1724. ForeverAlone
  1725. DownRightAwesome
  1726. ThanosMC
  1727. BigBirdCult
  1728. Fantaisgood
  1729. letsbone
  1730. SuddenlyAnimalAbuse
  1731. G59
  1732. Bexey
  1733. Tupac
  1734. bangladesh
  1735. bodybuilding
  1736. GymMemes
  1737. CowbellyTV
  1738. u_canineswine
  1739. TeenStyle
  1740. short
  1741. BossfightUniverse
  1742. WallpaperRequests
  1743. ibxtoycat
  1744. toycat
  1745. RareEmojis
  1746. expectedSpaceBalls
  1747. shittymcsuggestions
  1748. PokemonGOMemes
  1749. grandayy
  1750. grandpajoehate
  1751. deadmeatmemes
  1752. FanTheories
  1753. CrusadeMemes
  1754. redneckelonmusk
  1755. canconfirmimanaussie
  1756. unexpectedtfs
  1757. SubsIWishWereReal
  1758. iFunny
  1759. wallpapers
  1760. rasdash
  1761. opensource
  1762. raspberry_pi
  1763. grandrapids
  1764. thegrandtour
  1765. DeepFriedLinuxMemes
  1766. Michigan
  1767. Spongebuntu
  1768. Health
  1769. stylish
  1770. supercars
  1771. Autos
  1772. StuffOnCats
  1773. 2healthbars
  1774. mazda
  1775. amishadowbanned
  1776. toronto
  1777. canada
  1778. freevbucks
  1779. AntiAntiAntiAntiJokes
  1780. antiantiantijokes
  1781. Birthdaytwins
  1782. mildyinteresting
  1783. yesyesyesyesyesnoyes
  1784. tifurb
  1785. RoastMyHistory
  1786. badpuns
  1787. Rainforest
  1788. u_EnderCreep72
  1789. TheOutsiders
  1790. JohnWick
  1791. starbase
  1792. GTA
  1793. bully
  1794. MMA
  1795. karate
  1796. india
  1797. StreetFights
  1798. NoglaOfficial
  1799. burgers
  1800. PeterExplainsTheJoke
  1801. amateur_boxing
  1802. Jasiah
  1803. travisscott
  1804. FortnitePhotography
  1805. LilNasX
  1806. FortniteLeaks
  1807. CallMeKevin
  1808. Idubbbz
  1809. memesofthedank
  1810. u_nibbapusspuss69
  1811. FloridaMemes
  1812. Avengers
  1813. cursedjojo
  1814. Csgohacks
  1815. u_insane_playzYT
  1816. SimplyFortnite
  1817. TeachersRFuckingDum
  1818. django
  1819. amipregnant
  1820. IncelTeens
  1821. fuck_r_teenagers
  1822. wherestheredcircle
  1823. MURICA
  1824. SrGrafo
  1825. dev_ed
  1826. TheFutureIsWomen
  1827. TheFutureIsWoman
  1828. TheFutureIsMale
  1829. wewantpornofthis
  1830. BothSidesPolitics
  1831. iamverybedass
  1832. uneducatedopinions
  1833. webdev
  1834. perfectlycutspurts
  1835. u_msterchief82
  1836. hemitite
  1837. ArakiForgot
  1838. SubtoPewDiePieMC
  1839. BirdsForScale
  1840. aLOTofKARMAindays
  1841. honeygetmygun
  1842. thirdsub
  1843. cursed_posts
  1844. MyHeroAcademia
  1845. Meme_colesium
  1846. timetravel
  1847. WordAvalanches
  1848. gravityfalls
  1849. u_Niggword69
  1850. ConfusedBoners
  1851. DonutOperator
  1852. u_DoxxingAngels
  1853. Jazz
  1854. percussion
  1855. WeirdSheep
  1856. BisexualTeens
  1857. Adulting
  1858. MensLib
  1859. NewDM
  1860. Paladins
  1861. CountOnceADay
  1862. TheOnionUnlimited
  1863. ComedyFlogging
  1864. FuckNestle
  1865. 8BitGang
  1866. FrankGang
  1867. ColtGang
  1868. yescompanionimbecil
  1869. ChurchOfMineta
  1870. YouFellForItFool
  1871. Super_Cube_Cavern
  1872. dynamikegang
  1873. ZoeIsYourHomie
  1874. u_PlusTrash7
  1875. ZaryaMains
  1876. SleepingSoulmates
  1877. JunkRatMains
  1878. Awww
  1879. RoadhogMains
  1880. fo76
  1881. MK11PremiumStore
  1882. MKMemes
  1883. KombatFashion
  1884. aliens
  1885. sixthworldproblems
  1886. Switch
  1887. thebindingofisaac
  1888. BattlefieldCosmetics
  1889. ww2
  1890. LaCasaDePapel
  1891. PSNFriends
  1892. edgydarkdankmemes
  1893. AssassinsCreedOdyssey
  1894. u_Francischelo
  1895. ww2memes
  1896. DrunkDrunkenPorn
  1897. submechanophobia
  1898. athiesm
  1899. awakened
  1900. Pics_of_your_uncle
  1901. nikerunclub
  1902. firstimpression
  1903. Kikpals
  1904. Ultraboost
  1905. Toyota
  1906. UrbanHell
  1907. avfc
  1908. 6thForm
  1909. BassGuitar
  1910. greenday
  1911. chemistry
  1912. TokyoGhoul
  1913. u_Hate_-_millenials
  1914. ChippyGaming
  1915. USNSCC
  1916. unsettling
  1917. navy
  1918. mkxmobile
  1919. notcrappydesign
  1920. u_rd741904
  1921. neverendinggifs
  1922. beta
  1923. StrangerThingsMemes
  1924. u_Mr_Wolf7
  1925. ThatsInsane
  1926. u_Ens-Causa-Sui
  1927. u_SnakesAndTanksOhMy
  1928. aquaponics
  1929. glossier
  1930. ImagineDragonsTeens
  1931. heyrolemodel
  1932. omarapollo
  1933. LANY
  1934. WhereInTheDisneyWorld
  1935. funnystories
  1936. SmallDeliMeats
  1937. codyko
  1938. watercooling
  1939. nspire
  1940. GBA4iOS
  1941. xayahmains
  1942. ElectricalEngineering
  1943. walkingwarrobots
  1944. FL_Studio
  1945. graphic_design
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Grandmaster Forex Trading Robot - Grid Trading Tool for ...

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