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BE CAREFUL WHICH BROKER YOU CHOOSE! SERIOUSLY, what is YOUR opinion for LONG-TERM INVESTING using EToro VS Trading 212: Invest ? Or even Trading 212 ISA...
Now, I’ve been practicing with Trading 212 (both investing and trading) for years but didn’t start investing money because I was underage. DISCLAIMER: When I was younger, I thought day trading was “the way to go” to make a lot of money (for some people it is... for me it really isn’t). I luckily figured this out before I bought some “day trading guru’s course for ONLY $299”... fucking bargain btw👌🤯 ...not I started actually investing in March, and for whatever reason (can’t remember) I decided to go with EToro... BE WISE ON WHO YOU CHOOSE !
Let’s start with the NUMBER OF STOCKS.
Trading 212: Invest - 3012 stocks available Etoro - 2037 stocks available And the stocks that Etoro doesn’t have aren’t just foreign stocks like ones listed on the foreign stock markets like FSE or LSE. They also have US companies “missing”. This becomes very apparent when you find some “great” companies to invest in for the long term and they aren’t even listed. THIS IS ANOTHER THING - they also dictate who you can invest in. For example, I wanted to invest in Spire Healthcare back in March/April, and even though they have it listed, it won’t allow you buy any shares... STILL TO THIS DAY??? ( if anyone knows why, let me know down below please )
Trading 212: Invest - 446 EToro - 151 - although they do have ones like SPY, VOO and VTI
Trading 212: Invest - Min deposit - EUR 1, USD 1 Deposit fee - none min withdrawal fee - EUR 1, USD 1 Withdrawal fee - no fees Commission - commission free, unless you buy UK stocks, then you pay 0.5% stamp duty reserve tax because... the British Government can do what they want 🤷♂️ EToro - Min deposit - USD 200 - first deposit, afterwards USD 50 ( I never even realised this lol ) Deposit fee: none Min withdrawal amount: USD 30 Withdrawal fee: USD 5
•Trading 212: invest - as little as €1. MOST BUT NOT ALL shares can be bought fractionally as some have a min trade quantity of 1 share. •Etoro - min amount to open ANY POSITION is $50, defeats the purpose of fraction shares ???? 🤔 🚨——> Now there are a COUPLE ISSUES with this... But the main issue is a more PERSONAL ONE. I’m sick of having to think and buy my family things that don’t want or need for birthdays or Christmas... So I buy them a share, of a good company that I think is a good investment. Sometimes I DO NOT want to spend a minimum of $50 😂 Call me cheap lol but I’ve got pilot school to pay for... and it’s EXPENSIVE.
Social Trading -
Now Etoro does have CopyTrading. Personally I’ve never used it because I prefer to have an influence over who I invest in, whether it’s the right choice or not. But for some people, they prefer a more “hands-off” approach, so it is good for them. ANOTHER POSITIVE FOR ETORO - on their app for each company you can chat with other users, and people can post their latest thoughts and research on the company. Trading 212 doesn’t exactly have this but they do have a similar feature which is a forum separate to the app.
I personally prefer the layout of Trading 212, especially when looking into the graphs, or even trying to find out what your ROI is. It’s a much more user-friendly interface, in my opinion. Etoro doesn’t offer the ability to transfer open positions to another broker... which is shit. Trading 212 will be implementing the ability to transfer from/to other broker by the end of 2020 (supposedly). Also, Etoro’s customer service is actually really helpful, with their live chat feature. And doesn’t take too long to connect. ————————— Just to top it off - Trading 212: invest - you can get a free share worth up to £100 So IN MY OPINION I would 100% go with Trading 212 for INVESTING, and that’s why I’m switching I only invest, I DO NOT day trade, use CFDs, swing trade, trade commodities, trade forex or (currently) invest in cryptos This is why, imo, I believe Trading 212 is better than Etoro Let me know what your opinions are! Also let me know if I’ve missed anything
Factset: How You can Invest in Hedge Funds’ Biggest Investment Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now: Their latest 8k filing reported the following: Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions. Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic. Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019. Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results. The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020. FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders. As you can see, there’s not much of a negative sign in sight here. It makes sense considering how FactSet’s FCF has never slowed down: https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1 FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with. Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis: https://www.investopedia.com/terms/f/factset.asp https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45 FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015: https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7 So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33% https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded. https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd P/E has declined in the past 2 years, making it a great time to buy. https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d Increasing ROE despite lowering of leverage post 2016 https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself. https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848 SGA expense/Gross profit has been declining despite expansion of offices I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful. Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in. Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares I’d say it’s a great long term investment, and it should at least be on your watchlist.
https://preview.redd.it/6my3p5fd0gv51.png?width=1000&format=png&auto=webp&s=580cd88e1c69d0e2fdd9f0187c8f682159d77ea6 PrimeXBT is a cutting-edge trading platform that bridges the gap between the cryptocurrency and traditional asset markets, providing a range of advanced tools and features for the optimization of the way its users trade and invest. As well as this, PrimeXBT provides a safe and secure environment that is fully compliant with AML and KYC, and that uses advanced bank-grade security features in order to protect the funds of its users. We're taking a look at the 5 best features of PrimeXBT in 2020, beginning with a look at what PrimeXBT actually is and the growth of PrimeXBT, before looking at the top 5 features that users at the platform enjoy. What is PrimeXBT? https://preview.redd.it/caj1fufl0gv51.png?width=1000&format=png&auto=webp&s=de015bb00a8785dc43fa1e16c11838521acfe1e8 PrimeXBT is the world's leading multi-asset margin trading platform and after launching in 2018 with a waiting list of more than 150,000 traders, PrimeXBT has rapidly grown over the past 2 years to today managing up to $2 billion worth of global trade every day. PrimeXBT's reputation is built around the provision of advanced tools and features that are unique throughout the market and that provide powerful opportunities for traders and investors to reduce the risk and to improve the outcomes of their trading activities. PrimeXBT lists a wide range of cryptocurrencies and traditional assets, provides industry leading margin trading, and packs some of the most advanced security features used in the market into its platform as well. The Growth of PrimeXBT What Distinguishes PrimeXBT from Other Platforms? While there are many trading platforms that provide margin trading in 2020, PrimeXBT provides a safer and more secure environment for cryptocurrency and traditional asset margin traders. Unlike many other platforms which have been hacked over the past few years, PrimeXBT has a clean security track record and has never been hacked, protecting its users with advanced features. As well as this, PrimeXBT is considered to be one of the most innovative trading platforms in the cryptocurrency industry, integrating a range of next generation tools and features into its services and providing new ways of trading and investing for the cryptocurrency market. 5 Best Features of PrimeXBT: Lowest Fees of Any Major Crypto Platform Since its launch, PrimeXBT has provided the lowest trading fees on the market with a flat rate of just 0.05% applied to all trades, irrespective of the size of the trade or the asset class being traded. While some of the major trading platforms provide lower fees than the average, PrimeXBT's fees are significantly lower than any other platforms and up to 10 times lower than the most expensive platforms to use. This has ensured that PrimeXBT’s traders and investors are able to minimize the cost of trading by using the platform, and to maximize the revenue that they generate in the market. Powerful and Reliable Platform PrimeXBT is a powerful and reliable platform that packs a range of professionally-engineered tools and technologies into its systems, ensuring that traders can engage with the market in the most effective way possible. Perhaps the best example of this is PrimeXBT’s trading engine which is strong and robust and that can execute up to 12,000 trades per second with an average trade time of less than 7.02 ms. By providing a combination of ensuring high liquidity on all trading pairs as well as providing powerful trading tools, PrimeXBT ensures that there is minimum slippage on the platform and optimal entry and exit points as well. Covesting For Reduced Risk and Crypto Copy Trading PrimeXBT provides access to the only form of copy trading available in the cryptocurrency space following the integration of covesting into its systems in a partnership with leading crypto copy trading platform, Covesting.io. Covesting allows traders and investors to partner together and to collectively maximize their safety in the market while reducing risk and improving the collective outcomes in the process. Covesting is a revolutionary new way for cryptocurrency traders to engage with the market and is one of the fastest growing trends in 2020. AML/KYC Compliance for Safe Trading PrimeXBT uses Bitfury Crystal's AML compliance software and blockchain monitoring tool set on all incoming transactions to the platform in order to ensure full AML compliance and safety for all users on PrimeXBT. PrimeXBT also restricts citizens from problematic jurisdictions with users confirming their country of residence in order for KYC compliance throughout the platform to be achieved. Using this system, Primax PT not only ensures that it is fully AML/KYC compliant, but also that it is able to monitor and manage transactions that may be fraudulent in real-time throughout the platform. Widest Range of Assets in the Market One of the major draw cards of using PrimeXBT is that it provides one of the widest ranges of different assets in the market with a range of leading cryptoassets as well as some of the world's top traditional assets as well. PrimeXBT lists a range of cryptocurrencies that include BTC, ETH, XRP, LTC, and EOS, as well as a range of traditional assets like stock indices such as the S&P500 and FTSE100, forex pairs such as USD/EUR and AUD/CAD, and commodities such as gold and oil. Traders and investors are able to use PrimeXBT as a bridge between the crypto assets and traditional asset markets, reducing the cost of trading between them, as well as dramatically increasing the efficiency of multi-asset trading in the process. What is the Future of PrimeXBT? In a very short amount of time of just 2 years, PrimeXBT has gone from launching with a waitlist of more than 150,000 traders to today managing up to $2 billion worth of global trade every day. If the trajectory of growth for PrimeXBT continues it will no doubt see the platform expanding into a range of different areas of online financial trading, and will see the platform become one of the largest trading platforms to ever be in operation. Over the past 2 years, PrimeXBT's reputation has only grown in strength and we would expect to see this continue as it integrates more safety and security features into its services and increases its compliance with AML and KYC globally. In Conclusion PrimeXBT has grown to become one of the world's leading crypto trading platforms, and provides access to some of the world's leading cryptoassets as well as many of the world's leading traditional assets as well. PrimeXBT has provided a range of different advantages to its uses, with these essentially boiling down to powerful opportunities for more success in global markets as well as increased security and safety in comparison to other platforms. If you would like to learn more about PrimeXBT, and about the tools and features available on the site, check out this link.
[Secret] Response to the Oil Embargo Part 2: Retaliation, Covert and Chaotic
While overt operations will play a role in the retaliation, some more covert ones are needed. For these more... illegal... operations, we will have to take a different approach. North Korea: Cyberwar, Inc. North Korea has a well-established cyberwar capability and has recently begun selling its services to third parties. One of those third parties is about to become us, and we're going to buy out the entire shop, consisting of thousands of highly trained North Korean hackers. Are they the best, no, of course not--they are, after all, still North Korean. They certainly aren't as good as what we have in-house, even though they're surprisingly skilled all things considered. But they're extra talent, and talent with no official connections to China, and that's what counts here. At whatever exorbitant price that North Korea charges [we've budgeted up to $500 million, and they will get to keep whatever they steal] we're siccing every trained hacker they have on what we view as the mastermind behind these plots, the United Arab Emirates [M: Even though we don't know the contents of the closed diplo, it's not hard to come to that conclusion given that Saudi Arabia is in a civil war, the UAE leads the GCC which is leading the embargo, and it has rejected our peace offerings and stated that we are an existential threat--also, assaulting the UAE is likely to spook the other participants who are in a much more frail situation]. Attacks will aim to be diverse and encompass the entire spectrum, with one exception, which we will do. Chinese experts will provide advice and limited intelligence and cyber-reconnaissance, but will not openly involve themselves in the operations, taking especial care to ensure that they don't touch the code the North Koreans are working on. We will maintain only a very high-level management, leaving precise means, targets, and so on to the North Koreans. In addition, we'll ask the North Koreans to recruit criminal hacker groups across the globe to join on to this effort, with the North Koreans receiving additional payouts for every other criminal hacking group they bring onboard that has been verified by Chinese intelligence as actually existing [we don't trust the North Koreans that much, especially when money is on the line]. Targets are the following, in order of priority: UAE Foreign Exchange Reserves and Sovereign Wealth Fund: By far the most valuable target on the list for North Korea, the UAE's forex reserves are worth about $100 billion, and the sovereign wealth funds of the Emirates are valued at as much as $1 trillion. North Korean hackers will launch an all-out assault aiming to steal as much of this money as possible, destroying it if they must but, we imagine, preferably transferring it to North Korean accounts. Attacks via SWIFT like those conducted by North Korea in 2015-16 are possible--those attacks amounted to hundreds of millions of dollars in losses. We doubt that North Korea will be able to steal that much of this pile, especially given the fact that the UAE has an army of ex-Western cyberwarriors of its own, but even a relatively small quantity would be a significant psychological injury and would degrade global trust in the UAE. Vital Infrastructure: North Korea will target key pieces of infrastructure in the UAE. In particular, they will target the following facilities and attempt to force them offline. Even though the individual attacks won't do much damage, the cumulative impact will scare the public, damage investor confidence, and drive money out of the UAE.
Dubai International Airport
All 8 desalination plants, the only source of potable water in the UAE [top target]
UAE High-speed rail [as this system uses Chinese software the North Koreans will happen to find a copy of the source code to work this one over]
Barakah Nuclear Power Plant [as this system uses South Korean software North Korea may have added experience with it]
Ruwais Refinery, capacity 400,000 barrels of oil per day, the largest in the UAE
Influential Figures And Government Officials: North Korean hackers will also target the personal devices of government officials and influential figures in the UAE, especially politicians, military commanders, and media types. They will then leak anything remotely incriminating to the global media, possibly via Wikileaks or another such site of ill repute. In addition, for particularly important government officials, North Korea will be commissioned to produce deepfakes with which it will flood social media. These will mostly focus on baseless conspiracy theories and personal slanders, for instance, catching a top official on mike confessing to being a devil-worshiper, or portraying a popular imam as being with Western prostitutes. It is hoped that these operations will cause enough domestic trouble in the UAE that they will concede on the point of the oil embargo. If nothing else, though, they should keep the UAE distracted while we move elsewhere.
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What is Forex? Forex, also identified as foreign exchange, FX or currency trading, is a decentralized global market where the entire world's currencies trade. The forex market is the biggest, liquid market in the world with an average daily trading volume beyond $5 trillion. Not all the world’s combined stock markets even come close to this. However, what does that mean to you? Take a closer look at forex trading and you may find some exciting trading opportunities unavailable with other investments. Forex transaction: it is all in the exchange If you have ever toured overseas, you have made a forex transaction. Take a trip to Belgium and you convert your British pounds into Euros. When you do this, the forex exchange rate between the two currencies—based on supply and demand—determines how many euros you get for your British pounds. Moreover, the exchange rate varies endlessly. A single British pound on Monday could get you 1.19 euros. On Tuesday, 1.20 euros. This tiny change may not seem like a big deal. However, think of it on a bigger scale. A big international company may need to pay overseas employees, Imagine what that could do to the bottom line if, like in the example above, simply exchanging one currency for another costs you more depending on when you do it? These few pennies add up quickly. In both cases, you—as a tourist, traveler or a business owner—may want to hold your money until the forex exchange rate is more favorable. Example of Forex Company: Spark Global Limited What is Spark Global LTD? Spark Global LTD known as SGL is Global Broker is a foreign exchange community that uses the Meta Trader 5 system to provide investors with copy order trading services. The platform integrates transaction data and connects to multiple exchanges, improves distributed CRM through liquidity and execution speed, provides technical support for transaction models, meets various business needs of customers, and allows investors to obtain DIY finance Digital analysis trading solutions. It has competitive spreads, which helps customers reduce transaction costs. This makes Spark Global Limited a platform that investors can trust. As a global veteran in foreign exchange, Spark Global Limited is very strong and has a relatively high brand value. It is an international veteran foreign exchange dealer and an old brand with more than ten years of history. This makes Spark Global Limited a platform that investors can trust. For more details you can follow their official facebook) or visit their official website or text them on [[email protected]](mailto:[email protected],)
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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
The exact mechanism of drain, or transfers from India to Britain was quite simple.
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.
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.
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.
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 seeRajan 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.
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'.
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
Creating a blog couldn’t be easier and yet more complicated in 2020. There are so many different things to think about, and yet so many different platforms you can use to streamline the process. Understandably you’ll already have an idea of what you want to write about, I, unfortunately, can’t help you with that, but what I can do is show you how you can set up a killer blog that will drive readers to your website. We’ll take you through what you’ll need to get started, our five steps to setting your blog up, the best blogging platforms to use, how to get your blog discovered, and the do’s and don’ts of blogging. But first, we need to establish what type of blog you want to set up.
What type of blog?
Firstly you’ll want to have a goal in mind. What are you aiming to achieve through your blog? Do you want to pull in more users to your sales pages by writing about your brand, to increase its publicity? Do you want to build a blog that promotes brands and products from other companies? Or do you just want to set up a blog documenting your travels around the world? In order to pick the right software for you, you’ll want to have a grasp before you start of how big this blog is going to be, whether you’re going to monetize it, and what type of blog it’s going to become. For example, if you’re planning on building an affiliate blogging programme, where you promote other brand’s products and call readers to action to but the products, you’ll be writing a lot of content and will benefit from having a more comprehensive blogging system with lots of plugins to promote sales. But if you’re looking to just set up a personal, or a personal brand blog talking about yourself and your brand, you may not perhaps need as many comprehensive features as you would if you were building an affiliate blog. You may also want to build an online portfolio of your work, which could require an entirely different piece of blogging kit, as opposed to the traditional blog that hosts articles and journals.
What you’ll need to get started.
There are 3 key things you’ll need to get up and running.
A blogging platform.
After you’ve identified the type of blog you want to set up, plus whether you’re going to make money from it, you’ll then need to pick a blogging platform tailored to your needs. Many people chose to operate on WordPress as it is one of the most comprehensive blogging systems going, but they forget platforms like Wix and Squarespace that are great for both helping you save and make money and are great options for those who are less tech-savvy and are new to the blogging game. Plus if you’re blogging for business, you might want to think about using LinkedIn for your business blog. We’ll go into more detail on what blogging platforms are best for your needs shortly, but make sure to keep in mind your objectives and technical experience when choosing the right platform for you.
A hosting platform.
Every website needs a web host to store their website’s information on the internet. A web host is an online service provider that will store your website’s information on one of its online servers. This will put your blog out there to the world. The best web hosts will perform a variety of functions for you, for example, Wix is an all-in-one package that will host your website for you, allow you to register a domain name, and has easy to use website design tools to help you start your blog. Web hosting can be expensive though so make sure you pick the best value for money host that can cater to the amount of traffic you have running through your website. Check out our post on the 11 best hosting providers. [Insert blog link here]
A domain name.
I’m sure by now you already know what sort of blog you want to set up, whether that’s a travel, blog, a blog accompanying your online store, or perhaps an affiliate marketing product review blog. You’ll have a niche and an idea and now all you need is a name. Every website online has what’s called a domain name. It’s included in the website address at the top of your search bar, for example, our domain name is www.digitalsupermarket.com. You’ll need to register a domain name after you purchase a hosting plan, to enable customers to find your site quickly and easily. One good tip is to find a hosting platform like Bluehost or GoDaddy that will provide you with a free domain name when you register for one of their web hosting plans as domain registration can be fairly pricey. Pick a great domain name that is easy for customers to read and type into Google so they can find it easier online. TOP TIP: To increase your blog’s search engine ranking, and to help more people find you on Google, try to pick a domain name that has either a .com or .co.uk ending. These domains often rank a lot higher in Google searches than .org’s, .net’s, and .info’s, and for that reason can be slightly more expensive, yet can help boost your site’s reach and credibility.
The Best Blogging Platforms For You.
There are a wealth of platforms out there catering to all your blogging or online portfolio needs. We have listed some of the main ones below shedding some light on what needs they service and why they might be a great option for you.
WordPress - The best software to give you full customisation.
WordPress is perhaps one of the most renowned blogging platforms in the world, running approximately 35% of the internet. It’s favoured highly by professional bloggers because it gives you total freedom to do whatever you want with your blog. WordPress can help you build your blog using one if its search engine optimised themes, you can customise using its drag and drop website builder tool to create a stunning blog. What’s more, is you’ll be able to use its professional blogging service to post your content online and take advantage of the hundreds of third party app plugins, you can integrate into your blog, to improve automation, add new features, and drive traffic to your site. The only downside of WordPress is that it can be quite technical and can take some time getting used to, but once you’ve got the hang of things, you’ll have great control over everything on your webpage. Pros: Cons:
Domain name registration
Tons of third-party plugins and apps
Technical and can take some getting used to
Not the best if you’re not tech-savvy or are just starting out.
Wix - Best for monetizing your site.
Wix is probably the most streamlined and easiest blog providers. It’s so simple and easy to use, it’s therefore great for anyone just starting out in the blogging world. You can customise one of its stunning templates with Wix’s drag and drop editor, and then upload blog posts to your site by slotting in pictures, gifs, social media buttons, sidebars, and other widgets that will help your blog stand out. One of the coolest features about Wix is its marketplace integration, where you can install a whole variety of third-party applications to your blog to provide your users with greater features and usability. Wix is the perfect all-in-one blogging solution to help you easily build a platform to amplify your business to the world, helping you to make more money, but it can also save you a lot of money as it’s cost-efficient plans roll up, web hosting, blog posting, and domain registration all into one product! Check out our Wix review and our comparison of Wix and Squarespace for a deep dive into Wix’s main blogging features. [Insert link here] Pros: Cons:
Streamlined and easy to use blogging software
Includes as a package, web building tools, domain registration, and web hosting
Tons of third-party plugins and apps on the Wix marketplace
Great platform to help make money and save money on its reasonably priced subscription plans
Don’t get the same full control as you see with WordPress
Locked into using Wix’s templates.
Squarespace - Best for creating visually stunning blogs.
Squarespace is very similar to Wix, in that it is an all-in-one web building and blogging platform that can help you build a blog you can monetize efficiently. It sets itself aside though through its better design and customisation features, making it one of the best platforms on the marketing if you’re looking to design a visually aesthetic blog. I’d recommend using this platform if you are a business operating in some sort of design, arts, or culinary industry. Although it offers minimal template options, Squarespace’s templates are works of art and offer you great customization when building your blog. Plus Squarespace offers a great blogging tool that lets you schedule posts and customize your blog to suit more mobile audiences. Pros: Cons:
Streamlined and easy to use blogging software
Can build a visually stunning blog on Squarespace with its streamlined tools
Excellent blogging features
All-in-one web host, domain registrar, and web builder
Can’t add third-party applications on Squarespace
LinkedIn - Best for blogging businesses.
Aside from setting up a blog on your own site, corporate entities can use LinkedIn to enhance and amplify their presence online. LinkedIn has more than 575 million users, most of whom are professionals and members of corporate conglomerates, and you can use this social platform to target some of the most influential people in the world. If you’re blogging about business this is the perfect platform to use a pre-existing community of people to enhance your social standing. You’ll then be able to build connections and followers on your profile who can easily share your blog on their platform through a couple of simple clicks. Pros: Cons:
Utilise LinkedIn’s pre-existing community of business people to amplify your brand
Target corporate directors and influential people directly through LinkedIn
Check out what people are looking at on LinkedIn and tailor your content to that market
Again you are confined within what LinkedIn’s platform will let you do, it’s not your site and you don’t have full customisation
Instagram - Best for the Artists.
Instagram is one of the biggest blogging sites in the world and without realising it, we are all technically bloggers in some way with our Instagram accounts, right? Ultimately for professional use, it is great for building a portfolio that has some form of visual or graphic eye-catching media around it. Instagram lets you post videos, photos, boomerangs, even write a blog in the photo’s caption if you wanted to! Best of all, Instagram is free, and you can use its business software to link up your online store, to drag users away from your profile, using its product tagging features, and land them in your online checkouts. Our top tip for using Instagram is to post regularly and keep on the theme of your blog. Don’t go off-piste as you’re followers will catch on quickly and unfollow you. And with 1 billion people using the platform each day, it is a great way to gain people’s attention and build your brand’s presence online. Pros: Cons:
Best for the creatives.
Totally free and easy to use interface.
Access to a pre-existing community of people.
Online selling capabilities.
Again you are confined within what Instagram’s platform will let you do, it’s not your site and you don’t have full customisation
The Do’s And Don’ts Of Blogging
Here are a couple of top tips to bear in mind when building your blog to help you create an awesome, lead driven platform.
Don’t use complicated language too soon.
With that in mind, do include language that your target audience will understand. But remember they are still here to learn, so don’t drop people in at the deep end right away by using complex jargon off the bat. Define terms and spell it out in layman’s terms for people at the outset, and as the post goes on, then introduce more complex writing. Introducing technical jargon at the start of your posts is an instant turn off for most readers.
Don’t waffle - Keep it succinct.
People want to get to the punchline now. 43% of people admit to skimming through blogs to get to the information they need, meaning to get your blogging site converting leads, you need to engage the reader early on and offer information succinctly throughout your post. Plus don’t make your blog too long. Depending on what you’re writing, a lot of people will see large volumes of text and will switch off immediately. There is no set limit for what a good and bad amount of text is, that’s something you’ll have to figure out per your industry, but from my experience, the shorter, the better.
Don’t make headlines too long.
Also ensure that your headline is not more than 60 characters long. If it gets too long it won’t rank well in search engines and people just won’t want to read it. Check out this headline analysis tool which will analyse the effectiveness of your proposed headlines.
Don’t plagiarise or use credited images.
Copying other people’s work is lazy and can land you in a lot of hot water in extreme cases if you breach a copyright regulation. But it’s also just unfair on the person who has worked hard or been creative to write that work. The same goes for images, people need to make a living from the content and photos they’re taking so don’t steal that off them.
Do write killer headlines.
People are like goldfish. You only have about 3 seconds to get their attention. That’s why it is important to write catchy, funny, and enticing headlines to draw your reader in. One good way to do it is to use the “How To” and “10 Best” strategies. These sorts of titles telling people ‘How to set up a blog’ or ‘the ten best web hosting platforms’ are search engine optimised, lead winning titles that rank highly in Google searches. Try them out and see!
Do post regularly.
The key to creating a great blog that builds leads is posting regularly. Although it is not the best idea to post regularly. Ideally, you want to post 3-4 times a week to get the best influx of traffic to your site. You’ll also want to check out when’s best to post for your target audience, for example, if you’re in the FOREX market, you’ll want to post your blogs perhaps at 8 AM, before the markets open when city workers are on their staring at their phones on their morning commuter trains to the city.
Do share on social media.
Share your content far and wide on your social platforms. Everyone is on social media these days and its outreach is simply phenomenal. That’s why you should always share your posts to your social channels to get greater traffic on your website, and include share buttons all-around your blog to invite your readers to share your articles too!
Do use SEO keywords to drive more traffic.
In a nutshell, SEO keywords are the phrases people put into search engines when they are looking for information on a certain subject. They are how you get found on your website. Depending on what you are writing about, there is always a set of keywords relating to that topic that you can implement, to help you show up higher in people’s google searches. For example, people might regularly search in google, ‘what is the best compost for growing sunflowers?’ When you come to writing about growing sunflowers in your blog, you might want to use these words or incorporate this question into your blog somewhere, to help you rank higher on Google.
Do use call’s to action to take your readers to the next step.
If you don’t challenge your reader at the end of your blog to follow you on Instagram, or check out your sales pages, you’ll never get the leads or sales you are looking for. With that in mind, build compelling calls to action at the end of each of your posts, to pull readers into taking the next step. Check out our post on landing pages to see a couple of cool ways on how to implement calls to action on your site [insert link here].
Do identify a target audience.
People will often tell you to write as though you were in the shoes of the person you’re looking to bring to your website, but it’s true! Identify what type of people you’re writing to, for instance, if you’re writing a business blog about FOREX trading, you’ll write with potential traders in mind who have one eye on the stock market and the other on your blog. Or if you’re a wedding florist, you’ll set your portfolio up to target those people looking to get married in the next year.
Leads, Sales, Results.
Blogging is one of the most influential marketing strategies in the world and the best bloggers can reap some awesome rewards for producing some truly awesome content. It is fairly straightforward to get started and we advise if you’re a small business, or someone with minimal blogging experience, to try out Wix or Squarespace first before you jump into using more technical platforms like WordPress. Once you’re up and running remember our top tips on what to do and what to avoid when writing your blog. Plus don’t forget to think about optimising and adding useful applications to your site to help you build and grow your content. Check out these 39 awesome blogging tools you can use to drive greater traffic to your site! Found this article useful? Make sure you share it with your friends on Facebook and Twitter and let us know in the comments if you have any other useful blogging tips.
Factset: How You can Invest in Hedge Funds’ Biggest Investment Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now: Their latest 8k filing reported the following: Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions. Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic. Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019. Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results. The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020. FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders. As you can see, there’s not much of a negative sign in sight here. It makes sense considering how FactSet’s FCF has never slowed down FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with. Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis: https://www.investopedia.com/terms/f/factset.asp FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015: So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33% EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded. P/E has declined in the past 2 years, making it a great time to buy. Increasing ROE despite lowering of leverage post 2016 Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself. SGA expense/Gross profit has been declining despite expansion of offices I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful. Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
I have been in the crypto space for several years and trade it myself however I'd love to build an account in the forex as well. I don't have time to trade it myself. Are there any legit automated trading services or copy traders out there? In crypto no such thing exists and I'm wondering if it's the same across the board? Thanks
The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases. This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.
How economic news is released
First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week. The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020. In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus. The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots. No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners. Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup. Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price! Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!
How the news affects forex markets
Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent. It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast. Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators. Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market. The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US. Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com. Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles. I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report. USD/JPY correlation with Initial Jobless Claims (2018 - present) USD/JPY correlation with Non Farm Payrolls (2018 - present) The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all. For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected. The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up. I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.
So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report. Before you can assume you can profit off the news you have to backtest and consider three important parameters. Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk. Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not. Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one. The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest. Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered. I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized. For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade. Yep, that's a loss of approx. $8.63 per lot. Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from. Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade. That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.
Make it real
If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day. Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved. Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world. I hope you enjoyed this long as fuck post and you give trading economic news a try!
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