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focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and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

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.

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:

News Text Mining. - This is where they'd use NLP on headlines or the body of news as a signal.
Social data - Twitter Sentiment/Google Search/Seeking Alpha. Again, some were NLP, for google trends they just used the data.
Technical Analysis & Machine Learning together. Most of these would take the price, add TA features, then feed into a ML model.
Other machine learning (as in, not using TA). Just using the price and some other engineered features.
Analyst Recommendations. Literally just taking the recommendations from banks/brokers and using that as the signal.
Fundamental data. So ratios from the income statement/balance sheet,

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

*Social data.*A lot of research papers were extensions of or based off of a paper by Johan Bollen called "Twitter mood predicts the stock market". It literally has 3,955 citations and is complete and utter horse shit; the paper is p-hacking to the extreme. Not only could I not reproduce the results, but given the number of sentiment indicators he uses I regularly found correlations between sentiment and my data based on how I engineered it. None of these correlations held over longer time periods. Every paper that's a derivative of this one or cites it has the same issues.
*Technical analysis & machine learning.*Every paper would do something along the lines of.. take past price data for some asset (stocks, forex), then add technical analysis indicators as "features". Then either they'd run through a feature-selector that figures out the best features then put the best ones into a model OR they'd dump this data straight into the model and afterwards select the subset of instruments that it "worked" on. None of these would hold if you k-fold test them or test on different subsets of data outside of the ones used in the paper. The results are always based off of selecting favourable subsets of data.

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:

Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.

No, algorithms aren't causing all the wild stock market swings - Business Insider

I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.

Here are the categories:

News Text Mining. - This is where they'd use NLP on headlines or the body of news as a signal.
Social data - Twitter Sentiment/Google Search/Seeking Alpha. Again, some were NLP, for google trends they just used the data.
Technical Analysis & Machine Learning together. Most of these would take the price, add TA features, then feed into a ML model.
Other machine learning (as in, not using TA). Just using the price and some other engineered features.
Analyst Recommendations. Literally just taking the recommendations from banks/brokers and using that as the signal.
Fundamental data. So ratios from the income statement/balance sheet,

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.

Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

*Social data.*A lot of research papers were extensions of or based off of a paper by Johan Bollen called "Twitter mood predicts the stock market". It literally has 3,955 citations and is complete and utter horse shit; the paper is p-hacking to the extreme. Not only could I not reproduce the results, but given the number of sentiment indicators he uses I regularly found correlations between sentiment and my data based on how I engineered it. None of these correlations held over longer time periods. Every paper that's a derivative of this one or cites it has the same issues.
*Technical analysis & machine learning.*Every paper would do something along the lines of.. take past price data for some asset (stocks, forex), then add technical analysis indicators as "features". Then either they'd run through a feature-selector that figures out the best features then put the best ones into a model OR they'd dump this data straight into the model and afterwards select the subset of instruments that it "worked" on. None of these would hold if you k-fold test them or test on different subsets of data outside of the ones used in the paper. The results are always based off of selecting favourable subsets of data.

Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.

So in conclusion, if you're building trading strategies, simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.

EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer)

No, algorithms aren't causing all the wild stock market swings - Business Insider

Looking back 18 months.

I was going through old emails today and came across this one I sent out to family on January 4, 2018. It was a reflection on the 2017 crypto bull market and where I saw it heading, as well as some general advice on crypto, investment, and being safe about how you handle yourself in cryptoland.
I feel that we are on the cusp of a new bull market right now, so I thought that I would put this out for at least a few people to see *before* the next bull run, not after. While the details have changed, I don't see a thing in this email that I fundamentally wouldn't say again, although I'd also probably insist that people get a Yubikey and use that for all 2FA where it is supported.
Happy reading, and sorry for some of the formatting weirdness -- I cleaned it up pretty well from the original email formatting, but I love lists and indents and Reddit has limitations... :-/
Also, don't laught at my token picks from January 2018! It was a long time ago and (luckliy) I took my own advice about moving a bunch into USD shortly after I sent this. I didn't hit the top, and I came back in too early in the summer of 2018, but I got lucky in many respects.
----------------------------------------------------------------------- Jan-4, 2018
Hey all!
I woke up this morning to ETH at a solid $1000 and decided to put some thoughts together on what I think crypto has done and what I think it will do. *******, if you could share this to your kids I’d appreciate it -- I don’t have e-mail addresses, and it’s a bit unwieldy for FB Messenger… Hopefully they’ll at least find it thought-provoking. If not, they can use it as further evidence that I’m a nutjob. 😉
Some history before I head into the future.
I first mined some BTC in 2011 or 2012 (Can’t remember exactly, but it was around the Christmas holidays when I started because I had time off from work to get it set up and running.) I kept it up through the start of summer in 2012, but stopped because it made my PC run hot and as it was no longer winter, ********** didn’t appreciate the sound of the fans blowing that hot air into the room any more. I’ve always said that the first BTC I mined was at $1, but looking back at it now, that’s not true – It was around $2. Here’s a link to BTC price history.
In the summer of 2013 I got a new PC and moved my programs and files over before scrapping the old one. I hadn’t touched my BTC mining folder for a year then, and I didn’t even think about salvaging those wallet files. They are now gone forever, including the 9-10BTC that were in them. While I can intellectually justify the loss, it was sloppy and underlines a key thing about cryptocurrency that I believe will limit its widespread adoption by the general public until it is addressed and solved: In cryptoland, you are your own bank, and if you lose your password or account number, there is no person or organization that can help you reset it so that you can get access back. Your money is gone forever.
On April 12, 2014 I bought my first BTC through Coinbase. BTC had spiked to $1000 and been in the news, at least in Japan. This made me remember my old wallet and freak out for a couple of months trying to find it and reclaim the coins. I then FOMO’d (Fear Of Missing Out”) and bought $100 worth of BTC. I was actually very lucky in my timing and bought at around $430. Even so, except for a brief 50% swing up almost immediately afterwards that made me check prices 5 times a day, BTC fell below my purchase price by the end of September and I didn’t get back to even until the end of 2015.
In May 2015 I bought my first ETH at around $1. I sent some guy on bitcointalk ~$100 worth of BTC and he sent me 100 ETH – all on trust because the amounts were small and this was a small group of people. BTC was down in the $250 range at that point, so I had lost 30-40% of my initial investment. This was of the $100 invested, so not that much in real terms, but huge in percentages. It also meant that I had to buy another $100 of BTC on Coinbase to send to this guy. A few months after I purchased my ETH, BTC had doubled and ETH had gone down to $0.50, halving the value of my ETH holdings. I was even on the first BTC purchase finally, but was now down 50% on the ETH I had bought.
The good news was that this made me start to look at things more seriously. Where I had skimmed white papers and gotten a superficial understanding of the technology before FOMO’ing, I started to act as an investor, not a speculator. Let me define how I see those two different types of activity:

Investors buy because the price is less than the value they see in the investment. Speculators buy because they think that someone will pay more in the future than they are paying now.
Investors trade on information (The white paper was really well-written, had a clear technical advantage over other alternatives, and addresses a need that I can understand and value.) Speculators trade on sentiment. (Buy the rumor! Sell the news!)
Investors usually look at the investment and themselves and can describe why they purchase in those terms (ABC-Coin provides (service) that isn’t addressed yet and matches (requirements) for an investment.) Speculators usually describe why they bought something in terms of how other people think (I think that other people think that the price will rise, so I want to get ahead of that.)
Investors don’t necessarily check the price every day. The can, and very often I do, but it isn’t required because fundamentals don’t often change on a dime. Speculators need to be glued to a price feed, because sentiment very often changes on a dime.
Investors like ideas, people, business plans, and market opportunities. Good ones are like Spock. Speculators like trends. They are tribal.
Investors have a longer time horizon than speculators. In cryptoland, the notion of a “longer” time horizon is still laughably small (months) compared to traditional markets, but it certainly isn’t weeks or days or hours, which is whre speculators often live.

So what has been my experience as an investor? After sitting out the rest of 2015 because I needed to understand the market better, I bought into ETH quite heavily, with my initial big purchases being in March-April of 2016. Those purchases were in the $11-$14 range. ETH, of course, dropped immediately to under $10, then came back and bounced around my purchase range for a while until December of 2016, when I purchased a lot more at around $8.
I also purchased my first ICO in August of 2016, HEAT. I bought 25ETH worth. Those tokens are now worth about half of their ICO price, so about 12.5ETH or $12500 instead of the $25000 they would be worth if I had just kept ETH. There are some other things with HEAT that mean I’ve done quite a bit better than those numbers would suggest, but the fact is that the single best thing I could have done is to hold ETH and not spend the effort/time/cost of working with HEAT. That holds true for about every top-25 token on the market when compared to ETH. It certainly holds true for the many, many tokens I tried to trade in Q1-Q2 of 2017. In almost every single case I would have done better and slept better had I just held ETH instead of trying to be smarter than Mr. Market.
But, I made money on all of them except one because the crypto market went up more in USD terms than any individual coin went down in ETH or BTC terms. This underlines something that I read somewhere and that I take to heart: A rising market makes everyone seem like a genius. A monkey throwing darts at a list of the top 100 cryptocurrencies last year would have doubled his money. Here’s a chart from September that shows 2017 year-to-date returns for the top 10 cryptocurrencies, and all of them went up a *lot* more between then and December. A monkey throwing darts at this list there would have quintupled his money.
When evaluating performance, then, you have to beat the monkey, and preferably you should try to beat a Wall Street monkey. I couldn’t, so I stopped trying around July 2017. My benchmark was the BLX, a DAA (Digital Asset Array – think fund like a Fidelity fund) created by ICONOMI. I wasn’t even close to beating the BLX returns, so I did several things.

I went from holding about 25 different tokens to holding 10 now. More on that in a bit.
I used those funds to buy ETH and BLX. ETH has done crazy-good since then and BLX has beaten BTC handily, although it hasn’t done as well as ETH.
I used some of those funds to set up an arbitrage operation.

The arbitrage operation is why I kept the 11 tokens that I have now. All but a couple are used in an ETH/token pair for arbitrage, and each one of them except for one special case is part of BLX. Why did I do that? I did that because ICONOMI did a better job of picking long-term holds than I did, and in arbitrage the only speculative thing you must do is pick the pairs to trade. My pairs are (No particular order):

ETH/XMR
ETH/ICN
ETH/DNT
ETH/QTUM
ETH/ZRX
ETH/CFI
ETH/OMG

I also hold PLU, PLBT, and ART. These two are multi-year holds for me. I have not purchased BTC once since my initial $200, except for a few cases where BTC was the only way to go to/from an altcoin that didn’t trade against ETH yet. Right now I hold about the same 0.3BTC that I held after my first $100 purchase, so I don’t really count it.
Looking forward to this year, I am positioning myself as follows:

ETH will still be my core holding. It is the “deepest in the stack” crypto investment that I have. “Deep in the stack” is a programming term that gets at the idea that most software is built on other software. If you just think about your notebook, you have your OS, and programs run on that. But even inside the OS there is a stack. The bottom of your stack is the kernel, and on top of that are the drivers, protocols, and other layers that allow the programs to talk to the OS, the hard drive, the screen, the mouse, your printer, etc. You can change your mouse or printer easily. Changing things deeper in the stack becomes harder and harder. ETH is deep in the crypto stack, so is very hard to dislodge – Around 60 of the top 100 cryptocurrencies by market cap run on top of Ethereum, so getting rid of Ethereum is something that would take a long time to do.
- DNT, QTUM, ZRX, and OMG are all, to varying degrees, “deep in the stack” tokens that, once established, will be very hard to dislodge.
That said, I am peeling away some of my holdings into USD right now, because big changes are afoot and they are going to cause market disruptions. I’m going to come right out and admit that this is speculative, but I’m also going to back it up with some non-speculative facts.
- The SEC has been sending out hundreds of subpoenas to cryptocurrency organizations over the past 3-4 months. These subpoenas are simply asking for information and nobody has been charged with any crimes or misdoings, but it is clear that the SEC is getting together information so that they can begin to regulate cryptoland. When that happens, other countries will follow, and that means:
  - Some tokens will be deemed outright scams and people will be prosecuted.
  - Some tokens will be deemed securities and will be regulated.
  - Some tokens will not be deemed scams or securities and will continue as they have.
  - Looking at this, it is clear to me that the tokens that escape prosecution and regulation should do better, but the short-term impact will be brutal and ugly. It would not surprise me at all to see a 50% drop in overall market cap within Q1-Q2, with Q1 being more likely.
- Cryptoland has always been a bit nuts, but it is more nuts now than I have ever seen it. Back in 2011-2014 it was a freaks-n-geeks show where people were all about the technology and I would sit around for a 3-day weekend installing a *nix VM on my Windows machine so that I could compile the most recent source and run a CUDA SHA-256 routine rather than thrash my CPU. If that doesn’t make sense to you, you wouldn’t have even thought about being involved.
  - Now, people see Bitcoin advertisements in their Facebook feed and think “I gotta get on the BTC train!” before going to Coinbase and buying some with a credit card. They don’t know anything about crypto, and they are getting eaten alive – It is no coincidence that BTC peaked after the Thanksgiving holidays when people sat around the table and Janice got Uncle Mike and Cousin Bob all excited as she talked about going to Cancun for Christmas because of her crypto winnings. Huge amounts of fiat got transferred from newbies to BTC whales during this period, and once the whales were done, BTC had dropped from $20,000 to $12,000. It’s now back at $15,000, but for people who bought at a higher level, this sucks. As a result many have moved from BTC to ETH, with the single biggest money flow in crypto in December being the BTC à ETH flow. As a result, it’s no coincidence that ETH is at all-time highs now. The thing is, though, that even most people that moved from BTC to ETH really have no idea what they are doing. They are acting on buzzwords and emotion. They are speculators and are going to get crushed.
The stock market is quite high right now, but people are starting to worry that it is too high and that we are going to enter into a period of inflation again. This has caused gold to go up a lot the last quarter and is likely also responsible a bit for the rise in cryptos. If this view is correct, then cryptos stay stronger than if that pressure wasn’t there. If wrong, then cryptos will swing down as money exits cryptoland for more traditional markets.
I am spending most of my time and money on the arbitrage effort. The nice thing about arbitrage is that it works as the markets go up, and it works as the markets go down. When markets are too volatile, however, arbitrage can get very messy and dangerous, with each trade generating a loss instead of a profit, so I am working right now to tune the algorithms to take into account rate-of-change and add in some circuit breaker triggers. Once this is done I will expand those operations.
I am getting much more serious about systems security.
- I have a Nano Ledger and recommend that anyone with >$1000 of crypto have one. The Trezor is also supposed to be good, but I haven’t used it.
- I will set up a dedicated *nix notebook that is used for nothing except my crypto work. All it takes is one keylogger to get on your PC/Mac and your crypto is gone. What is on your Nano Ledger will be OK, but they will sweep out your exchange account or Coinbase account faster than you can type. A standard Linux installation with Chrome and nothing else is as about as secure as you can get in the civilian world.
- If you don’t use LastPass or a similar password manager yet, you need to do that. Your password to LastPass should be at least 16 characters long and should not have a recognizable English word in it. If you think that “Iluvu4evah” is a secure password, you’re wrong.
  - Hackers know that “4”=”for” and “u”=”you”. Writing a script to substitute those in is trivial if they want to write the script, but it’s much easier for them to download one of the many, many programs out there that already do this.
  - If your password contains any string of numbers from anything that can be associated with you at any time in your life, it is insecure. Take those numbers out of the character count because they are an insignificant barrier to cracking your account.
  - The good news is that you probably won’t be targeted, but if you ever mention online that you are doing anything significant in crypto, that chance increased enormously.
  - *Never* talk with *anyone* about how much you have in crypto. You’ll notice that I haven’t here. There is no reason to tell even a family member how much you have unless you are sharing a tax form. Sure, you may trust them, but all it takes if for someone to overhead someone else mention at a party that a relative got into crypto a long time ago and made a bunch of money. That person can also then be subjected to the $10 hack and force you to send all your crypto to them.
  - Your password to LastPass (Or equivalent.) should look something like this -> 6k0jQMoziX&D#4W8
  - Yes, it’s a headache. Imagine your headache, though, were you to open your account one day and find all of your money gone.

Looking at my notes, I have two other things that I wanted to work into this email that I didn’t get to, so here they are:

Just like with free apps and other software, if you are getting something of value and you didn’t pay anything for it, you need to ask why this is. With apps, the phrase is “If you didn’t pay for the product, you are the product”, and this works for things such as pump groups, tips, and even technical analysis. Here’s how I see it.
1. People don’t give tips on stocks or crypto that they don’t already own that stock or token. Why would they, since if they convince anyone to buy it, the price only goes up as a result, making it more expensive for them to buy in? Sure, you will have friends and family that may do this, but people in a crypto club, your local cryptocurrency meetup, or online are generally not your friends. They are there to make money, and if they can get you to help them make money, they will do it. Pump groups are the worst of these, and no matter how enticing it may look, stay as far away as possible from these scams. I even go so far as to report them when I see them advertise on FB or Twitter, because they are violating the terms of use.
2. Technical analysis (TA) is something that has been argued about for longer than I’ve been alive, but I think that it falls into the same boat. In short, TA argues that there are patterns in trading that can be read and acted upon to signal when one must buy or sell. It has been used forever in the stock and foreign exchange markets, and people use it in crypto as well. Let’s break down these assumptions a bit.

i. First, if crypto were like the stock or forex markets we’d all be happy with 5-7% gains per year rather than easily seeing that in a day. For TA to work the same way in crypto as it does in stocks and foreign exchange, the signals would have to be *much* stronger and faster-reacting than they work in the traditional market, but people use them in exactly the same way.
ii. Another area where crypto is very different than the stock and forex markets centers around market efficiency theory. This theory says that markets are efficient and that the price reflects all the available information at any given time. This is why gold in New York is similar in price to gold in London or Shanghai, and why arbitrage margins are easily <0.1% in those markets compared to cryptoland where I can easily get 10x that. Crypto simply has too much speculation and not enough professional traders in it yet to operate as an efficient market. That fundamentally changes the way that the market behaves and should make any TA patterns from traditional markets irrelevant in crypto.
iii. There are services, both free and paid that claim to put out signals based on TA for when one should buy and sell. If you think for even a second that they are not front-running (Placing orders ahead of yours to profit.) you and the other people using the service, you’re naïve.
iv. Likewise, if you don’t think that there are people that have but together computerized systems to get ahead of people doing manual TA, you’re naïve. The guys that I have programming my arbitrage bots have offered to build me a TA bot and set up a service to sell signals once our position is taken. I said no, but I am sure that they will do it themselves or sell that to someone else. Basically they look at TA as a tip machine where when a certain pattern is seen, people act on that “tip”. They use software to see that “tip” faster and take a position on it so that when slower participants come in they either have to sell lower or buy higher than the TA bot did. Remember, if you are getting a tip for free, you’re the product. In TA I see a system when people are all acting on free preset “tips” and getting played by the more sophisticated market participants. Again, you have to beat that Wall Street monkey.

If you still don’t agree that TA is bogus, think about it this way: If TA was real, Wall Street would have figured it out decades ago and we would have TA funds that would be beating the market. We don’t.
If you still don’t agree that TA is bogus and that its real and well, proven, then you must think that all smart traders use them. Now follow that logic forward and think about what would happen if every smart trader pushing big money followed TA. The signals would only last for a split second and would then be overwhelmed by people acting on them, making them impossible to leverage. This is essentially what the efficient market theory postulates for all information, including TA.

OK, the one last item. Read this weekly newsletter – You can sign up at the bottom. It is free, so they’re selling something, right? 😉 From what I can tell, though, Evan is a straight-up guy who posts links and almost zero editorial comments.
Happy 2018.

Facebook will pay only parts of the media for publishing their materials

Some basic algo trading questions on platform and data sources

"Satoshi Nakamoto" the mysterious creator of Bitcoin is no other than the CIA

Bitcoin has surged to all time highs, Who created Bitcoin, and why?
The creator of Bitcoin is officially a name, “Satoshi Nakamoto” – very few people believe that it was a single male from Japan. In the early days of Bitcoin development this name is associated with original key-creation and communications on message boards, and then the project was officially handed over to others at which point this Satoshi character never appeared again (Although from time to time someone will come forward saying they are the real Satoshi Nakamoto, and then have their posts deleted).
Bitcoin could very well be the ‘one world currency’ that conspiracy theorists have been talking about for some time. It’s a kill five birds with one stone solution – not only is Bitcoin an ideal one world currency, it allows law enforcement a perfect record of all transactions on the network. It states very clearly on bitcoin.org (the official site) in big letters “Bitcoin is not anonymous” :
Some effort is required to protect your privacy with Bitcoin. All Bitcoin transactions are stored publicly and permanently on the network, which means anyone can see the balance and transactions of any Bitcoin address. However, the identity of the user behind an address remains unknown until information is revealed during a purchase or in other circumstances. This is one reason why Bitcoin addresses should only be used once.
Another advantage of Bitcoin is the problem of Quantitative Easing – the Fed (and thus, nearly all central banks in the world) have painted themselves in a corner, metaphorically speaking. QE ‘solved’ the credit crisis, but QE itself does not have a solution. Currently all currencies are in a race to zero – competing with who can print more money faster. Central Bankers who are in systemic analysis, their economic advisors, know this. They know that the Fiat money system is doomed, all what you can read online is true (just sensationalized) – it’s a debt based system based on nothing. That system was created, originally in the early 1900’s and refined during Breton Woods followed by the Nixon shock (This is all explained well in Splitting Pennies). In the early 1900’s – there was no internet! It is a very archaic system that needs to be replaced, by something modern, electronic, based on encryption. Bitcoin! It’s a currency based on ‘bits’ – but most importantly, Bitcoin is not the ‘one world currency’ per se, but laying the framework for larger cryptocurrency projects. In the case of central banks, who control the global monetary system, that would manifest in ‘Settlement Coin’ :
Two resources available almost exclusively to central banks could soon be opened up to additional users as a result of a new digital currency project designed by a little-known startup and Swiss bank UBS. One of those resources is the real-time gross settlement (RTGS) system used by central banks (it’s typically reserved for high-value transactions that need to be settled instantly), and the other is central bank-issued cash. Using the Utility Settlement Coin (USC) unveiled today, the five-member consortium that has sprung up around the project aims to help central banks open-up access to these tools to more customers. If successful, USC has the potential to create entirely new business models built on instant settling and easy cash transfers. In interview, Robert Sams, founder of London-based Clearmatics, said his firm initially worked with UBS to build the network, and that BNY Mellon, Deutsche Bank, ICAP and Santander are only just the first of many future members.
the NSA/CIA often works for big corporate clients, just as it has become a cliche that the Iraq war was about big oil, the lesser known hand in global politics is the banking sector. In other words, Bitcoin may have very well been ‘suggested’ or ‘sponsored’ by a banker, group of banks, or financial services firm. But the NSA (as we surmise) was the company that got the job done. And probably, if it was in fact ‘suggested’ or ‘sponsored’ by a private bank, they would have been waiting in the wings to develop their own Bitcoin related systems or as in the above “Settlement Coin.” So the NSA made Bitcoin – so what?
The FX markets currently represent the exchange between ‘major’ and ‘minor’ currencies. In the future, why not too they will include ‘cryptocurrencies’ – we’re already seeing the BTC/EUR pair popup on obscure brokers. When BTC/USD and BTC/EUR are available at major FX banks and brokers, we can say – from a global FX perspective, that Bitcoin has ‘arrived.’ Many of us remember the days when the synthetic “Euro” currency was a new artificial creation that was being adopted, although the Euro project is thousands of degrees larger than the Bitcoin project. But unlike the Euro, Bitcoin is being adopted at a near exponential rate by demand (Many merchants resisted the switch to Euros claiming it was eating into their profit margins and they were right!).
And to answer the question as to why Elite E Services is not actively involved in Bitcoin the answer is that previously, you can’t trade Bitcoin. Now we’re starting to see obscure brokers offering BTC/EUR but the liquidity is sparse and spreads are wacky – that will all change. When we can trade BTC/USD just like EUUSD you can bet that EES and a host of other algorithmic FX traders will be all over it! It will be an interesting trade for sure, especially with all the volatility, the cross ‘pairs’ – and new cryptocurrencies. For the record, for brokers- there’s not much difference adding a new symbol (currency pair) in MT4 they just need liquidity, which has been difficult to find.
So there’s really nothing revolutionary about Bitcoin, it’s just a logical use of technology in finance considering a plethora of problems faced by any central bank who creates currency. And there are some interesting caveats to Bitcoin as compared to major currencies; Bitcoin is a closed system (there are finite Bitcoin) – this alone could make such currencies ‘anti-inflationary’ and at the least, hold their value (the value of the USD continues to deteriorate slowly over time as new M3 introduced into the system.) But we need to pay
Here’s some interesting theories about who or whom is Satoshi:
A corporate conglomerate
Some researchers proposed that the name ‘Satoshi Nakamoto’ was derived from a combination of tech companies consisting of Samsung, Toshiba, Nakayama, and Motorola. The notion that the name was a pseudonym is clearly true and it is doubtful they reside in Japan given the numerous forum posts with a distinctly English dialect.
Craig Steven Wright
This Australian entrepreneur claims to be the Bitcoin creator and provided proof. But soon after, his offices were raided by the tax authorities on ‘an unrelated matter’
Soon after these stories were published, authorities in Australia raided the home of Mr Wright. The Australian Taxation Office said the raid was linked to a long-running investigation into tax payments rather than Bitcoin. Questioned about this raid, Mr Wright said he was cooperating fully with the ATO. “We have lawyers negotiating with them over how much I have to pay,” he said.
Other potential creators
Nick Szabo, and many others, have been suggested as potential Satoshi – but all have denied it:
The New Yorker published a piece pointing at two possible Satoshis, one of whom seemed particularly plausible: a cryptography graduate student from Trinity College, Dublin, who had gone on to work in currency-trading software for a bank and published a paper on peer-to-peer technology. The other was a Research Fellow at the Oxford Internet Institute, Vili Lehdonvirta. Both made denials. Fast Company highlighted an encryption patent application filed by three researchers – Charles Bry, Neal King and Vladimir Oksman – and a circumstantial link involving textual analysis of it and the Satoshi paper which found the phrase “…computationally impractical to reverse” in both. Again, it was flatly denied.
THE WINNER: It was the NSA
The NSA has the capability, the motive, and the operational capacity – they have teams of cryptographers, the biggest fastest supercomputers in the world, and they see the need. Whether instructed by their friends at the Fed, in cooperation with their owners (i.e. Illuminati banking families), or as part of a DARPA project – is not clear and will never be known (unless a whistleblower comes forward). In fact, the NSA employs some of the best mathematicians and cryptographers in the world. Few know about their work because it’s a secret, and this isn’t the kind of job you leave to start your own cryptography company.
But the real smoking Gun, aside from the huge amount of circumstantial evidence and lack of a credible alternative, is the 1996 paper authored by NSA “HOW TO MAKE A MINT: THE CRYPTOGRAPHY OF ANONYMOUS ELECTRONIC CASH”
The NSA was one of the first organizations to describe a Bitcoin-like system. About twelve years before Satoshi Nakamotopublished his legendary white paper to the Metzdowd.com cryptography mailing list, a group of NSA information security researchers published a paper entitled How to Make a Mint: the Cryptography of Anonymous Electronic Cash in two prominent places, the first being an MIT mailing list and the second being much more prominent, The American Law Review
The paper outlines a system very much like Bitcoin in which secure financial transactions are possible through the use of a decentralized network the researchers refer informally to as a Bank. They list four things as indispensable in their proposed network: privacy, user identification (protection against impersonation), message integrity (protection against tampering/substitution of transaction information – that is, protection against double-spending), and nonrepudiation (protection against later denial of a transaction – a blockchain!).
It is evident that SHA-256, the algorithm Satoshi used to secure Bitcoin, was not available because it came about in 2001. However, SHA-1 would have been available to them, having been published in 1993.
Why would the NSA want to do this? One simple reason: Control.
As we explain in Splitting Pennies – Understanding Forex – the primary means the US dominates the world is through economic policy, although backed by bombs. And the critical support of the US Dollar is primarily, the military. The connection between the military and the US Dollar system is intertwined inextricably. There are thousands of great examples only one of them being how Iraq switched to the Euro right before the Army’s invasion.
In October 2000 Iraq insisted on dumping the US dollar – ‘the currency of the enemy’ – for the more multilateral euro. The changeover was announced on almost exactly the same day that the euro reached its lowest ebb, buying just $0.82, and the G7 Finance Ministers were forced to bail out the currency. On Friday the euro had reached $1.08, up 30 per cent from that time.
Almost all of Iraq’s oil exports under the United Nations oil-for-food programme have been paid in euros since 2001. Around 26 billion euros (£17.4bn) has been paid for 3.3 billion barrels of oil into an escrow account in New York. The Iraqi account, held at BNP Paribas, has also been earning a higher rate of interest in euros than it would have in dollars.
The point here is there are a lot of different types of control. The NSA monitors and collects literally all electronic communications; internet, phone calls, everything. They listen in even to encrypted voice calls with high powered microphones, devices like cellphones equipped with recording devices (See original “Clipper” chip). It’s very difficult to communicate on planet Earth in private, without the NSA listening. So it is only logical that they would also want complete control of the financial system, including records of all electronic transactions, which Bitcoin provides.
Could there be an ‘additional’ security layer baked into the Blockchain that is undetectable, that allows the NSA to see more information about transactions, such as network location data? It wouldn’t be so far fetched, considering their past work, such as Xerox copy machines that kept a record of all copies made (this is going back to the 70’s, now it’s common). Of course security experts will point to the fact that this layer remains invisible, but if this does exist – of course it would be hidden.
More to the point about the success of Bitcoin – its design is very solid, robust, manageable – this is not the work of a student. Of course logically, the NSA employs individuals, and ultimately it is the work of mathematicians, programmers, and cryptographers – but if we deduce the most likely group capable, willing, and motivated to embark on such a project, the NSA is the most likely suspect. Universities, on the other hand, didn’t product white papers like this from 1996.
Another question is that if it was the NSA, why didn’t they go through more trouble concealing their identity? I mean, the internet is rife with theories that it was in fact the NSA/CIA and “Satoshi Nakamoto” means in Japanese “Central Intelligence” – well there are a few answers for this, but to be congruent with our argument, it fits their profile.
Where could this ‘hidden layer’ be? Many think it could be in the public SHA-256, developed by NSA (which ironically, was the encryption algorithm of choice for Bitcoin – they could have chosen hundreds of others, which arguably are more secure):
Claims that the NSA created Bitcoin have actually been flung around for years. People have questioned why it uses the SHA-256 hash function, which was designed by the NSA and published by the National Institute for Standards and Technology (NIST). The fact that the NSA is tied to SHA-256 leads some to assume it’s created a backdoor to the hash function that no one has ever identified, which allows it to spy on Bitcoin users.
“If you assume that the NSA did something to SHA-256, which no outside researcher has detected, what you get is the ability, with credible and detectable action, they would be able to forge transactions. The really scary thing is somebody finds a way to find collisions in SHA-256 really fast without brute-forcing it or using lots of hardware and then they take control of the network,” cryptography researcher Matthew D. Green of Johns Hopkins University said in a previous interview.
Then there’s the question of “Satoshi Nakamoto” – if it was in fact the NSA, why not just claim ownership of it? Why all the cloak and dagger? And most importantly, if Satoshi Nakamoto is a real person, and not a group that wants to remain secret – WHY NOT come forward and claim your nearly $3 Billion worth of Bitcoin (based on current prices).
Did the NSA create Satoshi Nakamoto?
The CIA Project, a group dedicated to unearthing all of the government’s secret projects and making them public, hasreleased a video claiming Bitcoin is actually the brainchild of the US National Security Agency.
The video entitled CIA Project Bitcoin: Is Bitcoin a CIA or NSA project? claims that there is a lot of compelling evidences that proves that the NSA is behind Bitcoin. One of the main pieces of evidence has to do with the name of the mysterious man, woman or group behind the creation of Bitcoin, “Satoshi Nakamoto”.
According to the CIA Project, Satoshi Nakamoto means “Central Intelligence” in Japanese. Doing a quick web search, you’ll find out that Satoshi is usually a name given for baby boys which means “clear thinking, quick witted, wise,” while Nakamoto is a Japanese surname which means ‘central origin’ or ‘(one who lives) in the middle’ as people with this surname are found mostly in the Ryukyu islands which is strongly associated with the Ry?ky? Kingdom, a highly centralized kingdom that originated from the Okinawa Islands. So combining Nakamoto and Satoshi can be loosely interpreted as “Central Intelligence”.
Is it so really hard to believe? This is from an organization that until the Snowden leaks, secretly recorded nearly all internet traffic on the network level by splicing fiber optic cables. They even have a deep-sea splicing mission that will cut undersea cables and install intercept devices. Making Bitcoin wouldn’t even be a big priority at NSA.
Certainly, anonymity is one of the biggest myths about Bitcoin. In fact, there has never been a more easily traceable method of payment. Every single transaction is recorded and retained permanently in the public “blockchain”. The idea that the NSA would create an anarchic, peer-to-peer crypto-currency in the hope that it would be adopted for nefarious industries and become easy to track would have been a lot more difficult to believe before the recent leaks by Edward Snowden and the revelation that billions of phone calls had been intercepted by the US security services. We are now in a world where we now know that the NSA was tracking the pornography habits of Islamic “radicalisers” in order to discredit them and making deals with some of the world’s largest internet firms to insert backdoors into their systems.
And we’re not the only ones who believe this, in Russia they ‘know’ this to be true without sifting through all the evidence.
Nonetheless, Svintsov’s remarks count as some of the more extreme to emanate from the discussion. Svintsov told Russian broadcast news agency REGNUM:“All these cryptocurrencies [were] created by US intelligence agencies just to finance terrorism and revolutions.”Svintsov reportedly went on to explain how cryptocurrencies have started to become a payment method for consumer spending, and cited reports that terrorist organisations are seeking to use the technology for illicit means.
Let’s elaborate on what is ‘control’ as far as the NSA is concerned. Bitcoin is like the prime mover. All future cryptocurrencies, no matter how snazzy or functional – will never have the same original keys as Bitcoin. It created a self-sustained, self-feeding bubble – and all that followed. It enabled law enforcement to collect a host of criminals on a network called “Silk Road” and who knows what other operations that happened behind the scenes. Because of pesky ‘domestic’ laws, the NSA doesn’t control the internet in foreign countries. But by providing a ‘cool’ currency as a tool, they can collect information from around the globe and like Facebook, users provide this information voluntarily. It’s the same strategy they use like putting the listening device in the chips at the manufacturing level, which saves them the trouble of wiretapping, electronic eavesdropping, and other risky methods that can fail or be blocked. It’s impossible to stop a cellphone from listening to you, for example (well not 100%, but you have to physically rewire the device). Bitcoin is the same strategy on a financial level – by using Bitcoin you’re giving up your private transactional information. By itself, it would not identify you per se (as the blockchain is ‘anonymous’ but the transactions are there in the public register, so combined with other information, which the NSA has a LOT OF – they can triangulate their information more precisely.
That’s one problem solved with Bitcoin – another being the economic problem of QE (although with a Bitcoin market cap of $44 Billion, that’s just another day at the Fed buying MBS) – and finally, it squashes the idea of sovereignty although in a very, very, very subtle way. You see, a country IS a currency. Until now, currency has always been tied to national sovereignty (although the Fed is private, USA only has one currency, the US Dollar, which is exclusively American). Bitcoin is a super-national currency, or really – the world’s first one world currency.
Of course, this is all great praise for the DOD which seems to have a 50 year plan – but after tens of trillions spent we’d hope that they’d be able to do something better than catching terrorists (which mostly are artificial terrorists)

Umarkets.com brand joins Serenity

BlockChain Enable a Quadrillion-Dollar Derivatives Market?

General info and list of exchanges for X8X Token (X8X)

Ultimate crypto safe haven! Finally, Securing Value in Crypto is simple. X8X Token holders are granted a 0% fee for issuing X8Currency, a 100% fiat & gold backed Token.
Token holders are the gatekeepers!
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ARE CRYPTOCURRENCIES LEAVING LONG-TERM BEAR TERRITORY? On 17 July Bitcoin broke past the $7000 mark. The influx of …
X8 PROJECT ROADMAP UPDATE As promised we are now ready with an updated roadmap which will …
FACEBOOK’S POLICY REVERSAL LEADS TO WIDESPREAD SPECULATION After an explosive year for ICOs and cryptocurrency in 2017, some regulators …
STOCK AND COMMODITY MARKETS REACT PREDICTABLY TO THE LOOMING TRADE WARS – WITH THE EXCEPTION OF GOLD The G7 Summit in Canada in June was marked by uneasiness and …
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Upcoming Events
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Salon International des Femmes Entrepreneures 13th – 15th February 2019
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Past Events
KBS2018 in Seoul 12th – 13th July 2018
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What is X8X? X8X is an Ethereum pure utility Token, functioning as a Key for issuing X8Currency. To exchange X8Currency for fiat ($/€) with 0% fee you will need to hold a corresponding amount of X8X.
X8X TOKEN SPECIFICATION Address: 0x910Dfc18D6EA3D6a7124A6F8B5458F281060fa4c Token Symbol: X8X Decimals: 18
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Utility Token Token is used as a key to access services of issuing or exchanging the X8Currency at the Issuer.
Limited Cap There will be only 100.000.000 Tokens issued in the TGE, later mining is not supported.
Opportunity X8X holders will be able to obtain their own X8Currency or distribute this right to others on Online Exchanges.
Legislation compliant The X8X Token is issued by a Swiss-based company, approved by the Swiss Regulatory Authorities.
X8 Project - Dual Token Model A revolutionary new store of value for the distributed and traditional economy brought to you by the ultimate currency. The X8 Project developed two Ethereum based Tokens: X8Currency that is fully backed with 8 fiat (cash) currencies + gold and X8X Utility Token that functions as a key to the issuance and exchange process of X8C with 0% fee.
What is X8Currency (X8C)? X8Currency is an Ethereum Token, 100% backed in 8 fiat (Cash) Currencies & Gold. Each Token is represented with assets deposited on bank accounts. Assets are actively managed by the propriety software, Automatic Reserve Management AI. X8C can only be issued or exchanged for fiat with X8X Utility Tokens.
fiat-gold X8Currency Facts:
100% backed with Cash & Gold assets are actively managed by proved and tested AI risk management platform ARM the most stable Crypto Currency 100% exchangeable for 8 fiat Currencies (Cash) at the Issuer for 0% fee with X8X Tokens PROVEN PROVEN Risk management AI developed over 10 years for traditional FinTech, $1B in transactions since 2015.
SAFE SAFE Non-leveraged reserves in top 8 fiat currencies and gold provide unparalleled safety.
LIQUID LIQUID Fiat currency foundation enables daily volume in billions without affecting the price.
SECURE SECURE Triple-redundant Swiss architecture and gold reserves fully utilise the advantages of the Swiss financial ecosystem.
verified Our business partner verifies that this chart represents the holdings of a live account where all trades were executed by ARM AI. View reference here.
The ARM Portfolio risk management AI, which operates the reserves of the X8 currency, was developed over 10 years. It has been operational since 2015 and has generated a transaction volume of over $1 Billion for clients in the traditional financial industry.
8-Currencies-ARM-AI Fiat in X8 brings vast liquidity which can support speedy large transactions with little to no price impact. That means that X8 can scale globally and provide a sustainable solution as a financial system for more than 3,5bn people.
Together with friendly nature of X8 market operations, all participants in the value chain benefit from this constructive system.
X8 leverages the benefits of the Swiss financial ecosystem. Fiat funds deposited in the Swiss UBS AG, will be insured by SwissRE AG and audited daily by JP Fund Services. A store of gold currency in the safest certified storages outside the banking system serves as additional reserve for X8 currency.
Swiss-setup Road map
Team The team behind the X8 Currency blockchain product.
Gregor is behind some of the main design features of ioNectar platform. Gregor combined natural investment perspective with advanced technology capabilities of today into a winning philosophy match. His accumulated experience comes from working as portfolio manager in institutional environment, advising funds, HNWIs and specialists in foreign exchange and other markets.
GREGOR KOŽELJ CEO / Founder Tomaz with his long-term experience in business is responsible for executing the Sales strategy and tactics. The focus is to drive the business forward in creating stronger relationships, converting more prospects in gaining potential clients, increasing sales, creating operational efficiency, and lastly creating a fun and motivational environment.
TOMAŽ LEPOŠA CSO His experience with entrepreneurship, business organization and sales management has given him a valuable insight into business processes and development. His approach to team management and integration makes business operation a smooth and exciting experience.
ALY KULAUZOVIĆ Business development Rudolf Ströbl is a financial expert and program-developer with over 20 years of experience in various projects involving precious metals, options, equities and digital currencies. He has also developed models and algorithms in the Forex Markets. Currently he is the Managing Director of FX & Project Management GMBH in Switzerland. RUDOLF P. STRÖBL Infrastructure Francesca Greco has been a board member of several Private Equity Funds. Her focus are projects related to energy and telecommunications. She has been following closely the development of cutting-edge technologies of great potential. She is currently part of Green Brain Technologies team, where she is in charge of Government Relations and Regulatory Affairs.
FRANCESCA GRECO Legal Lenart manages and supervises legal aspects of the company's business. With experience at law office, he finds working in the area of finance an opportunity to expand his skills and understanding of legal dimensions of finance.
LENART KMETIČ Communications & Legal support Phil is an expert problem solver with a background in finance and communications. He has been a most welcome addition to the team, especially in terms of strategy and sharpening message clarity. He has more than 20 years of active experience in bringing together businesses from Western, Central and Eastern Europe by means of eliminating cultural differentiation.
PHIL LAWRENCE Communications An IT expert with years of participation in the world of cryptocurrencies. His experience in computer programming and knowledge of IT is a valuable contribution to the company. The products of ioNectar gave him an opportunity to employ his skills in a new and exciting way. He is also responsible for ICO communication.
ALEN OBERSTAR Communications With background in social sciences and focus on collapse of complex systems, he welcomed the opportunity to explore issues of financial stability. His passion for research led him to become one of the main contributors to the company's xfeed. He is also in charge of TGE communication.
DAVID PREŽELJ Communications Urban is a long-time cryptocurrency enthusiast with a passion for ICO/TGE research. With his expertise in developing and leading teams he has developed a strategic plan to achieve the successful launch of the X8 TGE project. His strategic vision has assisted in bringing together the existing talents of the X8 team in a coherent manner.
URBAN ALJANČIČ TGE / ICO project manager Simon is a seasoned computer expert with an extensive range of programing skills in different computer languages. As the CTO of ioNectar he knows the area of the platform client and manages technological releases of the product. He is creativity driven with insight in new products development and is behind different original aspects of the platform.
SIMON HOHLER CTO Ervin is a specialist in IT. He brings together his broad technical proficiency from computer science and manages all main IT administration perspectives of ioNectar. Work in specialized software and electronics product solutions is his passion which he has been following. Through persistent expansion of his ability Ervin proved many times he is an IT authority.
ERVIN MARGUČ CIO A computer programmer proficient in several computer languages. He is involved in developing the key components of the ioNectar technology. He is eager to use his knowledge to build bridges between blokchain technology and the world of traditional finance.
ERGIM RAMADAN IT Sofia is in charge of visual presentations and design strategies at ioNectar. The dedicated and enthusiastic team around her created the right environment for her to express her artistic sensibilities and passion for aesthetics in every aspect of the company's presentations.
SOFIA KULAUZOVIĆ Corporate look & design Advisory Board The team behind the X8 Currency blockchain product.
Peter Kristensen is the CEO of JP Integra LLC US, an international finance service group providing administrative and management services to owners and managers of international private capital. PETER KRISTENSEN Financial specialist Olaf Chalmer is a financial advisor with decades of experience in the banking sector who, among other things, offers guidance to investors in financial sector. Currently he is the president of the Swiss Management, Ltd, a consulting company oriented towards clients from Eastern Europe. OLAF CHALMER B2B placement A progressive investment professional with more than 2 decades of experience in top level banks. Mikkel is advising globally on interest rate and FX risk and manages alpha driven G10 portfolios. He is running independent trading & advisory business, is also a specialist in market making and sits on several investment management boards. MIKKEL THORUP Foreign exchange field Marcus von Goetz is a seasoned bondspecialist and trader. During his career he held key bondstrading positions at several prominent financial institutions. He is also a financial advisor for larger market participants. Currently his expertise is available to institutional clients and venture capital entrepreneurs through VG&S Business Development. MARCUS VON GOETZ Business development With a background in finance and an enthusiasm for blockchain technology attorney Peter Merc PhD is the ideal legal consultant for TGEs. He is a member of the supervisory board of Slovenian systemic bank and cofounder of Lemur Legal, a legal company promoting digital transformation. He helps transform TGEs in legally compliant enterprises. PETER MERC, PH.D. Legal advice Simon Cocking is a seasoned business mentor to TGEs and a senior editor at Irish Tech News. He is also an experienced public speaker at events including TEDx and Web Summit. He is a crypto connoisseur and has to date successfully advised and mentored 18 TGEs. He has also founded six prosperous companies. SIMON COCKING Digital Marketing Branko Drobnak is a former investment banker with more than 25 years of experience in finance and entrepreneurship. This background combined with his enthusiasm for ICO research and investment provides valuable insights to the X8 project. BRANKO DROBNAK Strategic advice
EXCHANGE LIST
Binance
Huobi
Kucoin
Bibox
Qryptos
Satoexchange
BIGone
Bitrue
Bilaxy
Bit-Z
Linkcoin
SECURE WALLET
Ledgerwallet
Trezor

Thomson Reuters begins roll out of high-speed data feed

Fast Cash Biz Review So Is Fast Cash Biz SCAM Or LEGIT? The Truth About FastCash.Biz System By Madison Clark & David Graham Reviews-Best Binary Option Trading Software?

Fast Cash Biz Review So Is Fast Cash Biz SCAM Or LEGIT? The Truth About FastCash.Biz System By Madison Clark & David Graham Reviews-Best Binary Option Trading Software? Fast Cash Biz Review – Does Madison Clark & David Graham’s Fast Cash Biz REALLY WORK? Check my unbiased review. What Is Fast Cash Biz Software? Find the review below..
Product Name: Fast Cash Biz
Product Creators: Madison Clark & David Graham
Official Website: Access The NEW Fast Cash Biz System!! CLICK HERE NOW!!!
Fast Cash Biz Review
In a world where it is a challenge to make money, have you ever wondered how it is possible for some people to turn their $1,000 investment into over $20,000 in just a week? What exactly do they do that allows them to earn such big amounts over and over again? The answer to that are binary options. Basically, those who know how to read the market understand very well the fluctuations and trends in stocks. What’s great about this is that it allows you to invest in low risk trades that expire just within 15 minutes. This means that in a short time, you will already find out if your investment paid off or not. Of course, it is completely understandable for a beginner to feel hesitant about this at first. After all, an investment still bears a risk, no matter how low it may be. No one wants to invest their hard-earned money blindly, but is there a way to succeed in binary options even if you have no prior experience? This is what this Fast Cash Biz aims to explore.
What is Binary Options?
Binary option is a trade system of stock or currency based on trend. Not always when the trend downward have to buy and selling when the trend upward because this trade is full of risk, big win, lost or even run out. However, taking decision must be based on correct analytic and fast then action quickly.
What Is Fast Cash Biz Software?
Fast Cash Biz is the lifetime work of Madison Clark that has partnered with top rated Home Trading Training Specialists to provide to you, the user precise real-time financial info feeds to help you make more informed trades with binary options trading.
Fast Cash Biz isn’t a magic application that promises to give immediate wealth with the touch of a button, this app was designed so you, can capture real-time data within the currency pair market, to assist you make smarter trading decisions.
Fast Cash Biz searches for major up and down movements, after which warns you as to when this happens allowing you to then put a trade. Fast Cash Biz works on Binary Options platforms, which lets you use it to put trades which expire in One minute to 1 hour. And thus you could realize your returns much faster compared to regular fix trading.
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Listed below are a few of the benefits of using Fast Cash Biz:
Trade on Multiple Platforms at Once
Get Free Financial Data Feeds that can typically cost $540+ per month
Fully Customizable Alert Parameters for Increased Trading Capacity
Fast Cash Biz is user friendly, and anybody with a web browser is able to use the application soon after purchase and begin trading. They now provide 1-2-1 telephone help to get you started, and they also provide high quality online seminars frequently so that you can see the software program live in action.
Fast Cash Biz lets you personalize the pip setting and time-frame in which it alerts you to a specific pip movement. This means that there are loads of combinations, and nearly endless possibilities to be profitable with the software.
The Fast Cash Biz software works together with various binary options platforms. Installing it on your computer will allow you to:
Trade on multiple trading platforms at the same time. Have access to free data feed Customize various alert parameters Get trade alerts instantly Win more often compared with using other software Win more than 90% of the time
Of course, this Fast Cash Biz review is not complete without saying that the financial data feeds that you will have access to are advanced and are in fact worth more than $600 per month. This means that what you are getting is valuable information that will surely help you make the best trading decisions in your account.
Pros:
One of the best things about Fast Cash Biz is that it allows a user to learn about the basics of trading, especially if you are new to it. You will find out the best ways to go about the trading procedure, allowing you to make huge profits even at the comfort of your own home.
Since this is the , it is fully upgraded with improved trading algorithms. As a result, the trading process is much more convenient, letting you get the best of what the software has to offer. If you have any queries, you need not worry because they have customer support through phone and live chat.
The initial Fast Cash Biz software can only be used on Windows, but the version can now be used on other operating systems such as Mac, Linux, and even on your tablets and smart phones. Now, you don’t have to confine yourself in front of your computer to make the perfect trade –– you can now make a significant amount of profit even with your tablet or phone anytime you wish.
You won’t need to make any complicated analyses of the market when you have Fast Cash Biz . You just have to follow the instructions provided, apply what you have learned, and place your trades. Because Fast Cash Biz is pretty straightforward, you will gradually gain the confidence that you’ll need in order to maximize trades in the binary options market.
Online safety is not a problem with Fast Cash Biz because their secure online payment form is powered and tested by the latest programs such as Norton Secured and McAfee Secure.
Cons:
Since the trading market is always volatile and changing, you need to be quick while taking any financial decisions. At times, you may experience some delays in live feeds on your screen. However, if you have a high speed Internet connection, you won’t experience any problems. It is still important to understand that there’s no guarantee to earn or lose money because of the volatile nature of the trading market.
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Is The Fast Cash Biz a Scam?
After testing the Fast Cash Biz for months I can personally testify that the Fast Cash Biz is probably the best solution out there. It’s far from a scam and it’s priced fairly and suitable for all budgets. If you are interested in currency options, the Fast Cash Biz is a great choice as it focuses on 15 currency pairs that you will find available on all broker platforms. Remember that not all brokers offer all the bot’s currency pairs; therefore it’s recommended to register with one of the recommended Fast Cash Biz brokers directly from the software. If you tried other services or imitations, you need to get with a serious service so make sure to visit the real Fast Cash Biz! Remember that the Live Support is there to answer your questions so take advantage of their awesome service!
Fast Cash Biz Scam
Many customers who have tried using the Fast Cash Biz have reported 85% to 92% success rate. As it has been developed to help people trade regardless of knowledge and experience, eventually, users will learn how to accurately predict trends in the market within a specific time period, giving them a higher chance of making profits. In addition, the user-friendly interface has made it trusted software among many aspiring traders. If you wish to earn huge amounts of money from your own home, Fast Cash Biz is your best shot at it.
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Virtnext Review - Best binary option trader

VirtNext Review : Read this VirtNext Review to know whether Virt Next Software Review is Scam or Legit ? VirtNext Trade Software has been discharged as of late .It have made a significant sensation with respect to its execution . Indeed, the most essential thing you should think about is whether this exchange programming genuine or one more add to the trick list? So for your mindfulness we have done a complete audit this product ,Read beneath to discover the conclusion.
VirtNext Software Review – Scam or Legit?

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virtnext Review
Step by step instructions to Join the VirtNext Algo Trading Robot ?
Here's the way to join the VirtNext Trading. Take after the underneath Steps and begin Making Profits !
virtnext programming begin
Open An Account with the Signal supplier here : Open Virtnext Account
Round out your Correct subtle elements in the Members zone
Store a Min of 250$ to the Options exchanging Broker Account (All Brokers are Trusted)
Turn On the Autotrading ,Set the Risk Level to Low and Trade size to $25
My prescribed setting is above $25 per exchange , with that exchange size itself i have made a benefit of $1750 inside of 7 days .I began with $500 store .i have effectively pulled back $1200 Profits :)

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Profiting in the Forex and Stock exchanging is difficult, which is conceivable just through high winning programming . You can trust the virtnext organization in light of the fact that they have demonstrated results with their product. It's having a triumphant rate of 86%
Is VirtNext Scam or Worthy to Use?
Vincent Bollore ,the CEO ensures best results with Virtnext .What you need to do is to enroll a record and initiate it. At that point making $1 K+ on exchanging days is conceivable with Virtnext in view of your beginning capital .
virt next survey
When you set Virtnext programming on autopilot, it purchases and offers resources like Stocks ,Currencies and so on ,the signs produced with their product are profoundly gainful. In this way, before the day's over you will be making decent benefits through their framework.
This product can be utilized on any stage, unequivocally Desktop, IOS and Android just. It makes the exchanging interface much smoother and consistently improved to exchange better for benefits. The Software keeps running on an Algorithm-Trading framework which by imprint utilizes high PCs which are quick to purchase and offer resources, monetary standards and more in the business sectors.
virtnext.com-working
How does the Virtnext Software functions ? !
The VirtNext Software furnishes you with an Algorithm running on pace and top of the line PCs which permits you to offer and exchange quicker. The organization has just lost cash once in 4 years which is a significant achievement. You can utilize their framework on your desktop or Smartphone application for simple access with no limitations.
Yes you will need to put a store of cash or capital keeping in mind the end goal to setup your specialist account . The base store for VirtNext is around $250-300.
Virt-Next-Trading-System-Review
The great part is this product framework is not any tricks that you need to stress over. It is a genuine system keep running by author and proprietor Vincent Bollore who ensures min 80% + Win rate . Along these lines, my answer is entirely basic that you should attempt this signs App framework on account of it's productivity. Virtnext Review – The pitch
Virtnext scam reviewSo the reason we are getting free access today to Virtnext? Because the company wants to raise its shares price to 300% before the end of the year, as they want to go public.
Of course the access to Virtnext will be open for longer than a day we all know this. But they do not limit the places or say there are not many spot s left, once they have enough people they will close the doors but they have no limit on how many they will let in. If you’re interested, don’t delay and access your spot by clicking here. You can always fund your account later, but don’t miss out on the opportunity to enter if this is as good as we think it might be. Virtnext Review –

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I really do not enjoy singing the praises of a product I have not actually even tested yet, but this Virtnext video has been very well made. A lot of time and effort has been put into this; it is Virtnext scam reviewnot just text and Voice overs.
I do believe that the people we see in the video are actors, but as I have said before this alone does not mean the Virtnext software is a scam. A lot of highly reputable companies use actors in the sales videos as they do not make silly mistakes on camera , they learn their lines and project the vision the company wants to portray.
The Virtnext video goes into a lot of detail about the company and what it does and where it came from.

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The Sales Page
Virtnext Scam reviewThe Virtnext front page is a well designed smooth looking site. They have used simple colours that standout. There seems to be a lot of information on the front page but that really isn’t the case, it is all just large images to get the point across.
Green and Yellow seem to be very ‘in’ colours at the moment.
There are large images of laptops and screens, giving a modern feel, and also showing that this software will work on any device.
I especially like the Facebook feed towards the bottom of the page. This is a new layout I have not seen used before and is especially eye-catching.
There is a list of companies that use Virtnext for their investments. And there are some big names here.
Of course there are the Virtnext members testimonials. These never mean a lot to me as I think most video testimonials are contracted form the likes of Fiverr.com. The only one that is slightly believable in this bunch is the last guy Warren – the rest look like they are reading a script.
But this is neither here nor there. I do not recognize the faces from previous Binary Option scams.Virtnext scam review Virtnext Review – Page two
I am now through to the second stage of the Virtnext membership. This is the standard layout we have seen time and time again, but it still has the professional feel from the First VIrtnext page.Virtnext scam review
I do not think they have stopped their efforts here. The second video is just a simple well done and now register with one of our brokers and fund your account.
There is a timer on me now, I have 8 minutes to comply. I know that this is a little false scarcity but I am going to let it slide for now. The little things are not really adding up to ring scam bells with me here on the Virtnext page.
The rest of this Virtnext page has the news bulletin blasts and the testimonials like form the front page. A slightly different layout but essentially it’s all the same information. The news bulletins are different and displayed on a nice slider.
Under the Virtnext members testimonials we have a graph showing Virtnext members and their earnings. This is displayed in a new way, which looks really great, but once again not of any real benefit as how do we know if this is real? The Broker
Virtnext scam reviewI entered this review knowing I was going to sign up as the reviews from other binary options websites and information from other traders is just glowing.
I have been assigned Option Stars as a broker and will update you all on the progress following my initial deposit of 500€.
I am eager to see how the Virtnext software performs; having one of the most powerful computers in the Market place analyzing the data is a huge plus.
After not getting the software to link I requested a withdrawal no problems and have redeposited with 24Option, who is also regulated and widely considered to be one of the best around. Virtnext Review – Conclusion
So far I am impressed. The feedback on this software is just amazing, and the detail and effort that has been put into the Virtnext website is convincing enough.Virtnext scam review
Like I said earlier, I can forgive a few little things that are used as basic sales techniques like actors and a countdown timer. The positives have far outweighed the negatives here on my Virtnext review.
I will be back with an update in the next day or so once I am familiar with the software. Make sure you subscribe to my YouTube Channel to get the update on this Virtnext scam review, and see how it really works.
At the end of the day, a real test is the only way to know if it works or not. I will once again keep the identity of the account I use a secret from you and the brokers, just to make sure the results are genuine, as a lot of you out there think the brokers or software developers give me a better version of the software.
Stay tuned for the update and please share this Virtnext review so we can get the word out to others.

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Forex Algorithmic Trading System, Making a Forex Trading Algorithm The No Nonsense Forex Way Part – 5. Do quants make a great deal of cash? Quants are not vanishing. In fact, quants will most likely make more cash as transactions obtain much more complicated. In terms of cash, I predict that there will certainly be much more difference in the revenue as the real good quants get paid very ... When I first started trading about 13 years ago, a lot of people would get involved in news trading. There was a point in the Forex world where you could take advantage of news announcements, but the algorithmic traders and machines that have entered the Forex world have made trying to trade economic news when it is released a fool’s errand. Algorithmic Trading: Nowadays our life is dominated by algorithms in the form of traffic regulating lights, social media news feed, train schedules etc. More than 60 % of trade is actually Algorithm Trading. The algorithms are redesigning the traditional stocks trade as well. The past decade has witnessed noticeable increase in popularity in Algorithm Trading. The trade of a security applying ... An algorithmic trading is simply using trading software to trade in place of humans. This is made possible by a set of mathematical rules (algorithms) created by experienced traders.These instructions usually consist of trade timing which lets you in on the right times to enter and leave a trade, analysis of different prices, and risk management. Algorithmic trading forex is a method of trading using certain algorithms to be able to trade automatically. Some call it automated trading, black-box trading, or Algo trading. Technological advances have provided many conveniences in the forex market. Forex trading can now be fast using your computer or smartphone. This makes it possible for retail traders to enter the market and real-time ... Algorithmic trading is an advanced form of trading that uses a computer program to automate the process of buying and selling of either stocks, cryptocurrencies, FX currency pairs, options, or futures. Unlike trading assets directly through a broker, algorithm trading is more accurate and result-oriented as it is designed with… Forex algorithmic trading or algo-trading, at its core, is trading based on an algorithm or set of computer programs that include a specific set of rules to complete a particular task. Traders can set pre-programmed instructions related to certain variables like time, price, volume and stop-loss levels. These instructions are based on their trading strategy. The algorithms follow this strategy ...

Forex Algorithmic Trading

Welcome to one of my live Forex trading videos. This video consists of a number of recordings of me trading Forex live. Most of my trades in this video were taken around news events and were based ... Algorithmic trading platform AlgoFast allows you to create a strategy in plain English. Use AlgoFast to trade the news algorithmically, and for automated event and news trading. Continuation trades have been my most profitable trades to date. This tactic must be part of your game. You do not want to miss out. Beginners Video - https:... In this video, you will learn everything you need to know about how to learn algorithmic trading. After watching this video, you should have a clear idea abo... Forex Algorithmic Trading Simple Ton. Loading... Unsubscribe from Simple Ton? ... 95% Winning Forex Trading Formula - Beat The Market Maker📈 - Duration: 37:53. TRADE ATS 907,690 views. 37:53 ... Register for the full course here: https://rebrand.ly/ForexAlgo Follow me on Instagram: https://www.instagram.com/Mohsen_Hassan Join our Discord room here ht... How to Trade The NFP Forex News Even [ Live Trade ] Automatic trading, Trading Robots, News Trading Robot DOWNLOAD FREE GUIDE (Value $197) https://go.itradeaims.net ----- SUBSCRIBE TO iTradeAIMS ...

Making a Forex Trading Algorithm The No Nonsense Forex Way ...

Algorithmic Trading

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<< DOWNLOAD VIRTNEXT SOFTWARE FROM HERE AND ENJOY THE BONUS >>

<< DOWNLOAD VIRTNEXT SOFTWARE FROM HERE AND ENJOY THE BONUS >>

<< DOWNLOAD VIRTNEXT SOFTWARE FROM HERE AND ENJOY THE BONUS >>

<< DOWNLOAD VIRTNEXT SOFTWARE FROM HERE AND ENJOY THE BONUS >>

<< DOWNLOAD VIRTNEXT SOFTWARE FROM HERE AND ENJOY THE BONUS >>

<< DOWNLOAD VIRTNEXT SOFTWARE FROM HERE AND ENJOY THE BONUS >>

Forex Algorithmic Trading