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THROW YOUR FD's in FDS

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focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and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.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

eToro: impressions, doubts and (ignored) lessons from copy trading

(no promotional content, no affiliate links)
Hi,
exactly four years ago, I started copying eToro investors / traders that I selected using the broker's built-in search engine (profitable in last two years, already being copied by others), followed by manual filtering, to take into account fluctuations in yearly returns, composition of their portfolios etc. With that, I got a list of 10 people whom I started to copy on a demo account:
https://drive.google.com/file/d/1u52f0XHfr-LauIscKcFDYF0yGTTUr6VY/view?usp=sharing
In the screenshot you can see that in case of the first two of them the amount invested was $10,000, while for the rest it was just $100. This is because I started copying the first two a couple of weeks earlier; eventually I changed this into $100 the same day I made the screenshot and this is when my calculations start - so this thing is irrelevant, I just cannot travel in time to make another screenshot.
What I did after that?
Well, within the next six weeks my profits oscillated between -$11 and +$9.50 (the biggest profit was on Nov 9, a day after US presidential elections). I found this "boring" and discontinued experimenting with copy trading.
Today I looked back at those ten traders. Here is what I found. Firstly, seven of them are not with eToro anymore; investorNo1, Simple-Stock-Mkt, tradingrelax, 4exPirate, primit, Gallojack, xjurokx. The other three traders are:
My observations and thoughts are as follows:
  1. Seven out of ten traders are not with eToro anymore, which makes me wonder why. I have no proof but my guess is they simply performed poorly, lost their copiers and closed their accounts. This is already alarming but what if they opened another account? Or, even worse, multiple accounts? They could be investing small money and try different risky approaches, hoping that at least one account will turn out profitable in the long turn, attracting potential copiers. (I'm not claiming that those 7 particular traders did this, it's just my general suspicion regarding some of eToro traders)
  2. I'm unable to calculate what would be my profit if I never stopped copying them, because I cannot check at what day and with what profit those seven traders left eToro. I'm guessing this would be an immense loss. On the other hand, considering the three traders who are still with eToro, I would lose more than a quarter of my assets!
What now?
I must be a quite adventurous person or at least an incorrigible optimist, because a month ago (exactly on Aug 26th) I started copying three traders with real money. Here is who they are.
rubymza (Heloise Greeff)

OlivierDanvel (Olivier Jean Andre Danvel)

rayvahey (Raymond Noel Vahey)
What was my strategy to hand-pick these particular traders? First I did some basic scanning using eToro's built-in search engine. The most important filter was that the trader was profitable within the last two years: unfortunately, eToro does not allow to reach details of earlier performance automatically. To know how the trader performed before 2019, I had to look at stats in the profile of each of them. I was also taking into account how often they trade (to avoid those who do only a couple of trades yearly), whether they were trading recently and whether they write posts regularly in their feed. With this, I got a list of fifteen candidates to copy:
As you already know, I finally chose three of them. Rubymza seemed to be the most trustworthy stock trader, based on profits, posts feed and regular trading, among other things. Regarding OlivierDanvel, his uniqueness is the ability to record continuous profits with the Forex market. Finally, with rayvahey I wanted to increase my exposure to the commodities market.
Wish me good luck!
Michael

P.S.
You might find those copy-trading related readings interesting:

Disclosures:
submitted by investing-scientist2 to StockMarket [link] [comments]

Factset DD

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.
submitted by WannabeStonks69 to investing [link] [comments]

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market

Author: Christian Hsieh, CEO of Tokenomy
This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets.
The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1.
However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.

Demand for U.S. Dollars

Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4.

https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6

https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f
This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate.

https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69
Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions.

Source: Bloomberg
Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.

The Rise of Crypto Dollars

Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13.

https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1
An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.

Institutional Developments

In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero.
J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications.
Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19.

https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0
These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.

Future Opportunities

There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation. Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry.
There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish.
In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world.
Thank you.

Reference:
[1] How the US dollar became the world’s reserve currency, Investopedia
[2] The dollar is in high demand, prone to dangerous appreciation, The Economist
[3] Dollar dominance in trade and finance, Gita Gopinath
[4] Global trades dependence on dollars, The Economist & IMF working papers
[5] Total credit to non-bank borrowers by currency of denomination, BIS
[6] Biggest stock exchanges in the world, Business Insider
[7] McKinsey Global Private Market Review 2020, McKinsey & Company
[8] Central banks current interest rates, Global Rates
[9] Venezuela hyperinflation hits 10 million percent, CNBC
[10] Lebanon inflation crisis, Reuters
[11] Venezuela cryptocurrency market, Chainalysis
[12] The most used cryptocurrency isn’t Bitcoin, Bloomberg
[13] Trading volume of all crypto assets, coinmarketcap.com
[14] Tether US dollar peg is no longer credible, Forbes
[15] New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk
[16] Remittance Price Worldwide, The World Bank
[17] Interbank Information Network, J.P. Morgan
[18] Jamie Dimon interview, CBS News
[19] Rise of the central bank digital currency, BIS
[20] Speech by Andrew Bailey, 3 September 2020, Bank of England
submitted by Tokenomy to tokenomyofficial [link] [comments]

Copy trading with eToro: impressions, doubts and (ignored) lessons

(no promotional content, no affiliate links)
Hi,
exactly four years ago, I started copying eToro investors / traders that I selected using the broker's built-in search engine (profitable in last two years, already being copied by others), followed by manual filtering, to take into account fluctuations in yearly returns, composition of their portfolios etc. With that, I got a list of 10 people whom I started to copy on a demo account:
https://drive.google.com/file/d/1u52f0XHfr-LauIscKcFDYF0yGTTUr6VY/view?usp=sharing
In the screenshot you can see that in case of the first two of them the amount invested was $10,000, while for the rest it was just $100. This is because I started copying the first two a couple of weeks earlier; eventually I changed this into $100 the same day I made the screenshot and this is when my calculations start - so this thing is irrelevant, I just cannot travel in time to make another screenshot.
What I did after that?
Well, within the next six weeks my profits oscillated between -$11 and +$9.50 (the biggest profit was on Nov 9, a day after US presidential elections). I found this "boring" and discontinued experimenting with copy trading.
Today I looked back at those ten traders. Here is what I found. Firstly, seven of them are not with eToro anymore; investorNo1, Simple-Stock-Mkt, tradingrelax, 4exPirate, primit, Gallojack, xjurokx. The other three traders are:
My observations and thoughts are as follows:
  1. Seven out of ten traders are not with eToro anymore, which makes me wonder why. I have no proof but my guess is they simply performed poorly, lost their copiers and closed their accounts. This is already alarming but what if they opened another account? Or, even worse, multiple accounts? They could be investing small money and try different risky approaches, hoping that at least one account will turn out profitable in the long turn, attracting potential copiers. (I'm not claiming that those 7 particular traders did this, it's just my general suspicion regarding some of eToro traders)
  2. I'm unable to calculate what would be my profit if I never stopped copying them, because I cannot check at what day and with what profit those seven traders left eToro. I'm guessing this would be an immense loss. On the other hand, considering the three traders who are still with eToro, I would lose more than a quarter of my assets!
What now?
I must be a quite adventurous person or at least an incorrigible optimist, because a month ago (exactly on Aug 26th) I started copying three traders with real money. Here is who they are.
rubymza (Heloise Greeff)

OlivierDanvel (Olivier Jean Andre Danvel)

rayvahey (Raymond Noel Vahey)
What was my strategy to hand-pick these particular traders? First I did some basic scanning using eToro's built-in search engine. The most important filter was that the trader was profitable within the last two years: unfortunately, eToro does not allow to reach details of earlier performance automatically. To know how the trader performed before 2019, I had to look at stats in the profile of each of them. I was also taking into account how often they trade (to avoid those who do only a couple of trades yearly), whether they were trading recently and whether they write posts regularly in their feed. With this, I got a list of fifteen candidates to copy:
As you already know, I finally chose three of them. Rubymza seemed to be the most trustworthy stock trader, based on profits, posts feed and regular trading, among other things. Regarding OlivierDanvel, his uniqueness is the ability to record continuous profits with the Forex market. Finally, with rayvahey I wanted to increase my exposure to the commodities market.
Wish me good luck!
Michael

P.S.
You might find those copy-trading related readings interesting:

Disclosures:
submitted by investing-scientist2 to InvestmentClub [link] [comments]

COMPREHENSIVE Forex Trading SOLUTION/ANSWER; FEEDBACK NEEDED

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
~~~~~~~~~~~~~~~~~~~~
There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
~~~~~~~~~~~~~~~~~~~~
Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
~~~~~~~~~~~~~~~~~~~~
submitted by gentlestream to Forex [link] [comments]

Feedback Needed

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
~~~~~~~~~~~~~~~~~~~~
There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
~~~~~~~~~~~~~~~~~~~~
Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
~~~~~~~~~~~~~~~~~~~~
submitted by gentlestream to algotrading [link] [comments]

Feedback Needed

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
~~~~~~~~~~~~~~~~~~~~
There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
~~~~~~~~~~~~~~~~~~~~
Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
~~~~~~~~~~~~~~~~~~~~
submitted by gentlestream to Forex [link] [comments]

COMPREHENSIVE Forex Trading SOLUTION/ANSWER; FEEDBACK NEEDED

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
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There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
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Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
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