Curve Fitting the data – The greatest folly and the search for the Holy Grail.

June 28, 2018

Back in the earlier days, when data analysis first began, it began with the rationale to predict prices.

Financials traders have always looked for the holy grail, the one that can make you forever RICH.

The process begins with an analysis of past data, within such analysis a pattern is observed and judging from the manner the pattern reflects, sooner or later the trader’s mind starts considering what if I bought at those lows and sold at those highs and its sure money.


A 20% and greater move to the downside could begin this week. - Daniel Mankani.

Last: 2708.50 ESU
Key Support: 2705 2680-2650.
Minor Supports: 2625.50 / 2556.50 / 2426.30 / 2325.00 / 2120.00
Expect Prices upside attempts to be capped below 2750 for a break below 2705 for 2680 region.
Major key support is around 2650. Bear Markets begin often with a downmove of 2% and above
and the way it looks such a move below 2650 confirms indeed.
Look to remain short against historical highs, sideways volatility is increasing which often leads to
bigger concluding days. The move down towards 2400 region is initial short term target.
In the longer term prices will return to the level since Trump Victory as markets often retrace
back to the beginning once the entire narrative has changed.
A 20% and greater move to the downside could begin this week. – Daniel Mankani.
http://dynamictrader.com | DYNAMICTRADER.NET} dynamictrader.org 28-8-2018


Since the early nineties, financial technology has made great progress by leap and bounds, there is no dispute on this. How these technological systems have been developed and how they have evolved into is a big case of false promises.

Today there are big gains in various areas and the progress visible, yet the overall benefits and our current positioning doesn’t bode well for the foreseeable future nor can we say that the benefits we have derived so far, have negligible transformation impacts which are acceptable.


In our last article; 1990’s The End of Real Innovation and Growth.
We argued.

A)  Real innovation is value creating and doesn’t cannibalize on the old instead of making those resources available for enhanced usage elsewhere.

B)  In 1990’s the end of real innovation. Since then cannibalism on the old, it affects concentrating wealthy gains into fewer and never hands.

C) With the end of real innovation, global growth slowed. Alchemy of Money began, Stimulus became the norm and its leading into A Global Sovereign Debt Crisis.

Innovation is to innovate a process or create a product of enhanced value.

Value creation is a concrete concept and that is why, when one starts to look at how the narrative has changed into what is mine and yours, this selfish bias is where the first miscalculations begin, as the curve is been fitted by extreme optimization to derive the max potentials and when such a system is developed, it falsely assumes that the conditions of the environment is to remain constant and when the environment turns dynamic the system fails.

To give you another perspective on the same scenarios, these days machine learning is in fashion and artificial intelligence is often complimented in the same sentence. So let’s assume you use your ARTIFICIAL INTELLIGENCE SYSTEM TO GENERATE INTELLIGENCE And this as your new innovation claimed by machine learning.

The question to ask here is who is intelligent here then. Is it the man or the machine. And if the machine is being considered to be smarter with the advent of self-intelligent machines then where are the smarter human beings on the planet to take care of those machines for maintenance when needed. Its just not doable and the hype is so far up away in the bubble just in time for a bust when logic and reason is so far away from any factual basis, it’s exactly then when gravity structs and determines. It ain’t far.

Let’s take a look at this from another angle, lets assume that the artificial intelligent bot that you have deployed is making good progress from his ability of predictive behavior and is able to exploit some of that as profit by deploying its highly probabilistic recommended strategies, In such a scenario the bot will be able to profit from it but then one fine day, it will stop working as once everyone else starts to identify that arbitraging edge, they too will start doing it and it will stop working, the arbitrating opportunity automatically disappears.

I will try to explain why this happens and why I feel confident in making this statement that it simply cannot be done on a continuous longer-term basis, once the system corrupts itself by developing bias sooner or later it ends becoming predicative but assuming, since the strategies are identified by past data, that information been in the past and any predictions derived out of them is called hindsight.

To have foresight you need to follow the trend, know the trend and not assume any outcome based on assumptions and nor you can intervene to an extent where you attempt to predetermine the outcome to obviously be favorable to your own positioning, this bias then corrupts the process instead of delivering efficiency, it becomes a case of an inefficient master feeding garbage in {bias} and getting garbage out {cognitive dissonance} and this happens because of the intervention which corrupted the process.

Pattern Recognizance. Looking-out-the-Horizon-Storms-Approaching.
The greatest problem we face today is due to this, the {cognitive dissonance}  present in the thoughts today of Industry Leaders, Market Participants and Government Policies are reflected in that.

In essence instead of {derived efficiencies,} inefficiencies are clearly visible and these inefficiencies are having a disastrous effect on global economies. Innovation is not the problem but none of it innovative as cannibalism occurs upon old structures and creates new monopolies concentrating gains and stored energy wealth in the hands of the very few.

This being the new norm of disruptive technologies.

This is the real problem. As the curve is been fitted by extreme optimizations to derive the max potentials and when such a system is developed, it falsely assumes that the conditions of the environment are to remain constant and when the environment turns dynamic the system fails.

At the recent Asian Institute of Leadership Institute 22nd Banking Summit, on behalf of Banking Technologies Asia MSC, I got an opportunity to highlight the effects of these disruptive technologies and the effects of Algorithmic Trading on the financial markets. Outlining these artificial intelligent Algorithmic Trading bots have indeed destroyed the markets efficient process of pricing and the entire hypothesis of efficient markets theory is questioned.

As outlined in the video above, attention is requested to what these algorithmic trading systems and bots are doing to the financial markets, the effects of such systems are destroying the ability of the market to Price Discovery, with the inability to determine price, malinvestment occurs and the market which was supposed to have a price discovering mechanism further worsens making the entire system very vulnerable to greater systematic shocks and even greater market crashes.

[embeddoc url=”http://banktech.net/wp-content/uploads/2018/06/CAN-Machines-think.ppsx” viewer=”google”]

./ stay tuned,


Your Guess Is As Good As Mine.


Further Reading
{cognitive dissonance}  Animal Spirits, Bubbles, Mania’s and Market Peaks. http://ul3.com/FIl46
{cognitive dissonance}  FOMO Signs of the Euphoric. The Bust is almost near! http://ul3.com/6K2S3
{cognitive dissonance}  BITCOIN – A Fraud and Ponzi in a Disillusioned World: http://ul3.com/35fH1
{cognitive dissonance}  The Greed: http://ul3.com/pUDgd
The Hope: http://ul3.com/CuC7d
{cognitive dissonance}  The Ignorant, Zombies: http://ul3.com/PP8Ez
{cognitive dissonance}  Perception vs Reality: http://ul3.com/UcYb1
Revolutionary Transformation Ongoing. http://ul3.com/kcYCE 
– Global Economic Collapse January 18, 2016

1990’s The End of Real Innovation and Growth.

June 19, 2018

 Brief: Innovation, growth and human development are closely correlated. Today’s youth are losing their cognitive abilities and problems of today are not with innovation but excessive experimentation.

  • 1990’s is when we saw the last bouts of real innovation, 1990’s is also the time frame witnessed when Youth IQ levels have been dropping.  The world is indeed dumber and in the quest to access and justify capital, startups and companies tend to pitch artificial intelligence, big data, and autonomous systems simultaneously, when its factual Machines Do Not Think and possibly never will.
  • Computing is an execution of systematic codes and programs, they do not have intuition in pattern recognition, which is essentially a key component for innovation.
  • The End of Innovation in the 1990’s and the peak of economic growth is correlated and many of the problems we witness today is not due to innovation but rather excessive experimentation which is having disastrous consequences on society.
  • As part of a series to delve into these insane experiments, In part 1 we attempt to explain what is real innovation and growth. In part two we delve into the deeper workings of Artificial Intelligence and to explain how unintelligent these systems can be, yet this doesn’t stop experiments into various systems which are purportedly flawed and it continues by those just to be proven right (BIAS) at the huge costs of time and capital, while at the same time unleashing disruptive and destructive conditions on the global economy.
  • Use of Smart Phones and dependence on technology are making the youth of today lose their cognitive abilities and the main cause of youths unemployment- Daniel Mankani

 


1990’s and The End of Real Innovation and growth.

In 1434 Johannes Gutenberg, a goldsmith by profession developed a printing system by adapting existing technologies for printing purposes. In 1712 it was Thomas Newcomen with his “atmospheric-engine” who can be said to have brought together most of the essential elements established by earlier inventors.

Thomas Edison played an instrumental role in the development of the telephone. Edison had been working on methods for sending two messages simultaneously over a single wire for many years. In 1872, after Western Union adopted Joseph Stearns’s duplex for sending two messages in opposite directions, company president William Orton hired Edison to invent and patent other methods “as an insurance against other parties using them.” While working on duplex telegraphs, Edison realized that he could send four messages simultaneously by combining the duplex with a diplex for sending two messages in the same direction.
In 1875, with a contract from Western Union, Edison began work on the acoustic telegraph, which used tuning forks to send telegraphic messages at different frequencies at the same time. He would use this money to build Menlo Park. From this work on acoustic telegraphy, which he pursued at the same time as Alexander Graham Bell, came the telephone, which relied on Edison’s research, and the phonograph, which was inspired by the potential to replicate the sounds of acoustic telegraphy.

It was Edison’s Carbon Microphone in the receiver that was licensed by Bell and remained in telephones for more than a century. By 1876 Alexander Graham Bell is credited with the development of the first practical telephone, who too recognized the contributions of earlier inventors and with that came we got the Phonograph in 1877 and the lightbulb in 1878.

All these inventions effectively led to enhanced economic activity and an improvement into human conditioning, which prior to were a drag on society and economic participation limited to agrarian communities as men slogged at the farms while women in charge of the households were mostly left to draw water from distances, doing laundry which took up two days in a week and without electricity it meant hard laborious conditions for day to day life.

In 1903 the Wright brothers achieved the first powered, sustained and controlled airplane flight and two years later they broke their own milestones when they flew their first practical airplane, here again, made possible by drawing upon findings from earlier inventors and their observations.

By 1941 a new device came along which could be instructed to carry out sequences of arithmetic or logical operations automatically or via program codes and this became the first computing machines whose costs of ownership were prohibitively very high and were only used by governments for record keeping and instantaneous calculations.

In 1965 Gordon Moore observed the trend at which transistors chips were evolving made a prediction in his paper described a doubling every year in the number of components per integrated circuit and projected this rate of growth would continue for at least another decade. In 1975, looking forward to the next decade, he revised the forecast to doubling every two years.

And by late 1970’s and as predicted by Moore’s Law we saw the advent of the microcomputers and with affordability came mass adoptions of these machines. But these machines were standalone independently working machines thereby as a means to natural progression saw the advent of the Internet, allowing connectivity and collaboration as a means for enhanced efficiency.

Beginning from the early inventions in the 2nd century until the creation of the Internet in the 1990’s, all of the inventions were addressing problems for which there were no other real alternatives. They were fulfilling a real gap market demand followed with their efficient uses and instrumental problem solving, new industries sprung around them, and they had a powerful impact for all mankind, where human life and conditioning vastly improved.

These Real Inventions are in use even today and they can never be dislodged. With the end of these innovations, global growth collapsed and has been tepid since the early 1990’s. The end of real innovations has brought us to a stage of disruptive inventions which are cannibalistic in nature and as solutions to problems where none are required yet have a profound market impact and are reversing some of the positive traits built up in the past and are very destructive in their approach, affecting human conditioning not for the better but towards the worst.

Innovation and Growth

The wider implications of all innovations are strongly correlated between technological advances and the betterment of human life. For example, the Agricultural Revolution which occurred between 1750-1900 produced a transformation of human society brought about by the invention of the plough, making large-scale agriculture production possible. There was also a widespread replacement of manual labor by machines during the Industrial Revolution.

The Invention of the plough didn’t make the cows who plowed the fields obsolete but in fact, they had a positive impact where their old structural uses were enhanced and were made ready for other more efficient uses. Similarly, the impact of paper on record keeping, the compass for navigational purposes and the printing presses as an incremental innovation created, even more, uses for paper.

The Industrial Revolution too brought about much economic improvement for most people in Industrial Societies and many also enjoyed greater prosperity and improved conditions, modern industrial life also provided a constantly changing flood of new goods and services giving consumers more choices, which in turn provided employment opportunities for those displaced by the transformation of the agricultural societies.

Innovation can be classified as Breakthrough, Incremental, Game Changing and Disruptive.

Breakthrough Innovation:  Often referred to as “revolutionary science” because it involves a paradigm shift.  In this case, the problem is well defined, but the path to the solution is unclear, usually because those involved in the domain have hit a wall. Paper, Transistors and the discovery of the structure of many molecules including DNA are both good examples of breakthrough innovation.

Incremental Innovation: (sometimes referred to as sustaining innovation) uses existing forms as a starting point and either makes incremental improvements to something or some process or it reconfigures it so that it may serve some other purpose.

While Breakthrough and Incremental Innovations have a substantial impact in technological advancement and are directly correlated with the advancement of human conditioning and economy, Game Changing and Disruptive Innovations, on the other hand, are not well defined nor can be considered as a new scientific innovation but rather delivers the same repackaged in a different manner.

Game Changing Innovation: For Instance, Apple’s iPhone is not a new scientific Breakthrough Innovation but uses a combination of existing technologies such as the camera, the computer or the many components of the smartphone which were incorporated to create another phone, thereby making it just a game-changing innovation. The iPhone is also not an Incremental Innovation as that of printing press creating efficient enhancing uses of the paper, it did not make any of its components more efficient.

Disruptive Innovations: The term was defined and first analyzed by the American scholar Clayton M. Christensen and his collaborators beginning in 1995 and has been called the most influential business idea of the early 21st century and defines Disruptive Innovation as one that creates a new market by providing a different set of values, which ultimately (and unexpectedly) overtakes an existing market. In business, a Disruptive Innovation is an innovation that creates a new market and value network and eventually disrupts an existing market and value network, displacing established market-leading firms, products, and alliances.

Beyond business and economics, Disruptive Innovations can also be considered to disrupt complex systems, including economic and business-related aspects. The business environment of market leaders does not allow them to pursue Disruptive Innovations when they first arise, because they are not profitable enough at the start and because their development can take scarce resources away from sustaining innovations (which are needed to compete against current competition) and due to these innovations not clearly being defined, they may never be profitable and carry a much higher risk than every other type of innovation.

Real Breakthrough Innovations and growth go hand in hand. With computing came the internet in 1990’s and this is to be considered as the last bouts of real inventions the world has ever seen, Global Growth to has faltered in the 1990’s, first with the collapse of the Japanese Economy and the rise of China {cannibalistic}, this being not much different than Japan in the 1980’s. In fact, many of the trade issues we see today between China and USA are about the same of what we witnessed between Japan and USA then.

The innovations since 1990’s have mostly been computer related, which is to follow generalized sets of operations, called programs. These programs enable computers to perform an extremely wide range of tasks, which the newfound computing capabilities could perform well, first as a means of efficient record keeping, storage and with that effective collaboration of these informational data across multiple channels via the Internet.

Out of these new means of efficient storage and communication, Information Technology was born which in turn provided the ability for managers of such systems to identify repetitive and often redundant processes whose removal created new value chains of efficiency.

These new computing innovations while delivering informational competencies, their deployment was destructive in their approach and threatened every set of old established structural system, initially their value proposition was mainly positive as the benefits were visible in the overall bottom line of the organizations who deployed them in the form of enhanced productivity, service, efficiency and or sales, often referenced as Value Chains yet they were cannibalistic in their approaches.

While smartphones and related mobile technologies are recognized as flexible and powerful tools that, when used prudently, can augment human cognition, there is also a growing perception that habitual involvement with these devices has a negative and lasting impact on users’ ability to think, remember, pay attention, and regulate emotion.

As portable media devices, such as smartphones, have become an increasingly pervasive part of human lives, they have also become increasingly capable of supplementing, or even supplanting, various mental functions. With the capacity to be used as phonebooks, appointment calendars, internet portals, tip calculators, maps, gaming devices, and much more, smartphones seem capable of performing an almost limitless range of cognitive activities for humans and by doing so limiting humans own cognitive skills in a case of use it or lose it.

Moore’s Law, an observation of pattern recognition and Intuition.

As observed on Moore’s Law on the level of Transistors on integrated circuit chips, if human’s cognitive skills are in decay and reversing then surely this is not a good thing for society and this is reflective of the lack of jobs for today’s youth as they remain poorly equipped despite having participated in higher levels of education and the problem is not with the availability of jobs but the availability of the skills sets they have to offer.

In Business too, these informational technological systems have created havoc by deploying an arbitrage edge for themselves often at the costs of society. Value Creation is a concrete concept which none of these new technologies seem to deliver. The end of innovation in the 1990’s and the beginning of experimentation is at the root of our problems.


Further Reading
Animal Spirits, Bubbles, Mania’s and Market Peaks. http://ul3.com/FIl46
FOMO Signs of the Euphoric. The Bust is almost near! http://ul3.com/6K2S3
BITCOIN – A Fraud and Ponzi in a Disillusioned World: http://ul3.com/35fH1
The Greed: http://ul3.com/pUDgd
The Hope: http://ul3.com/CuC7d
The Ignorant, Zombies: http://ul3.com/PP8Ez
Perception vs Reality: http://ul3.com/UcYb1
Revolutionary Transformation Ongoing. http://ul3.com/kcYCE 
– Global Economic Collapse January 18, 2016

Demystifying Artificial Intelligence in 2018 – Daniel Mankani

April 25, 2018

Demystifying Artificial Intelligence.

Technology Companies have a historical tradition of misleading and making, hyped up claims at Cycle Highs and Guilable investors have an impecable track record to buy at market highs, when the truth emerges, the collapse presents itself next most and almost always.

In the last dot com collapse it was Sun Microsystems, Oracle and various others who made claims which were un-truthful to some extend with stories re-cycled in sophistication to such an extend that its possible to say, that they sold more than they deserved, they sold much more of their companies products and shares both to guilable companies and investors, all driven by fear of missing out and this became the year 2000 dot com highs.

Demystifying Technology in 2002

[embeddoc url=”https://idealbroker.com/wp-content/uploads/2018/04/technopreneurship-demystifing-technology-chapter-7-daniel-mankani.pdf” viewer=”google”]

demystifing-technology-chapter-7-daniel-mankani Copyright 2005. All Rights Reserved. Banking Technologies Asia MSC. Download

Just like today, Nvidia benefits over an economic activity that is not much more positive yielding, Nvidia has benefitted tremendously with the added usage of their graphic cards in the coin mining business which again in essense has very little added value when calculated with what its initial inputs costs are. The justification to seek is inputs vs outputs to determine overall beneficial efficiencies.

For more on this subject, see; BitCoin is a Fraud and Ponzi where we try to explain the cost benefit analysis of electricity costs versus value creation.

Today, the hype is on Artificial Intelligence and here at Banking Technologies Asia MSC we know a thing or two about artificial intelligence in the Financial markets, systems which we developed in the early 2000’s. We were also granted a government grant from the Malaysian Government to undertake such activities.

Multiple Artificial Intelligence in Forex Financial Markets Modelling,

[embeddoc url=”https://idealbroker.com/wp-content/uploads/2018/04/BTAMSC-Multiple-Artificial-Intelligence-in-Forex.pdf” viewer=”google”]

Copyright 2005. All Rights Reserved. Banking Technologies Asia MSC.

Data Analysis and Manipulative programs when systematically coded will also output a probabilistic viewpoint for exploitation. And the data inputted is garbage if selectively chosen to generate an outcome preferred, such actions will balantly corrupt the process, in the end whats outputted is just like garbage in, garbage out.

If, Cognitive bias prevails in the design of whichever AI system its bound to fail.

These thoughtful executing systems and the output of their probabilistic future trends are still Artificial in nature and the modes by which they can gather success are  probabilistically subjective. Success on the other hand is always one to be determined, however the edge exists due to knowing which future paths to take for best potentials.

That’s Artificial inteligence created.

Truth intelligence simply means, “I know more than you”. Think about it, if all of us knew the same things, that ain’t intelligence, its common knowledge, knowing more than the other is what is intelligence, so lets not have a misunderstanding to the defination of what Intelligence is?.

Caveat Emptor to all those chasing the moon.

 

BITCOIN – A Fraud and Ponzi in a Disillusioned World – Daniel Mankani

November 5, 2017

First things first lets understand this “The World is Disillusioned with Social Media Imaginary Lives” Ongoing Economic and Monetary Systems Transformation and there is indeed a whole lot of confusion on how the world tomorrow will evolve.

There are many questions and many responses to this but one thing for sure, its Bitcoin is not money nor its a stored value of an asset, it will never replace currency nor its has any of the attributes of Gold or Currency.

In the midst of all this Bitcoin has emerged as the best performer across various asset classes to which its compared against and now been told it will replace the means of transacting across borders and its value to continue increasing in a case of be it all and end all.

Human Greed knows no bounds especially so if its a subject out of disillusioned minds.

In the era of Fake News and Deregulated markets where accountability takes backstage coupled with a over educated under utilized millennium generation, Bitcoin is more of Fraud and a Ponzi and you may call it the revenge of the nerds.

Driven by fear of missing out and with various superior looking scientific yet false justification of “i know its better but I don’t know how, this has fueled Bitcoin’s Market Valuation and Price.

Its Greed and Fear Combined, Perception of disillusioned minds. A fraud of no other kind and a Ponzi at the same time.

In 2017 alone. Bitcoin meteoric rise has seen its total market value rise to over 100 billion dollars. Click to enlarge.

Bitcoins 100 Billion Dollar Valuation obtained in a shortest period of time. Click to enlarge.

For any asset to remain as a stored value and become one as a currency, it needs to have three key attributes without which its just another Fraud and a Ponzi at the same time.

 

It needs to have an UNDERLYING to give its stored value, It needs to have a UTILITY without which there is no demand to hold and lastly it needs to have LIQUIDITY which is non volatile.

 

Attributes which Bitcoin doesn’t have.

Underlying Resource: An underlying resource of some kind is necessary to give any derivative its value against which the derivative is bench marked, US Treasuries and even Fiat Currency for example have an underlying asset class to back them up, Government revenues and Taxes are the underlying for every currency where economic growth and monetary management defines the currency value.

Gold is the perfect hedge in an stagflation environment in which we are currently in and Bitcoin is not gold, It has no underlying of its own to  compare with to gold or to a currency and such perception is very much flawed.

It is wrong to say that Bitcoins Energy Consumption gives its underlying. It does not. Click to enlarge.

It is wrong to say that Bitcoins Energy Consumption gives its underlying. It does not.

Just cause someone found out a water front property and build on it an exclusive luxurious home, spending huge sums of money to make it beautiful and comparing its construction costs as input of value and then comparing it to the prices in demand and further speculating that if just a tiny bit of demand comes from there, the prices will escalate to those levels in a fancy of disillusioned minds.

You can’t compare an sparsely populated island in the pacific to that of one which has demand and it’s no matter on how much money you spend in making it luxurious, its a waste of effort and time.

Bitcoins hash rate, efficiency of mining determining input costs. Click to enlarge.

As the difficulty increases in mining of coins in order to make it a finite resource, more energy is consumed as efficiency drops and it then becomes scarce, this is the mathematical equation behind bitcoins miners and developers illusion, assuming that the input costs are part of the underlying, when its not.

Bitcoin Energy Consumption to determine underlying replacement costs. Click to enlarge.

Bitcoin uses more electricity than Uraguay, Kyrgyzstan, and Paraguay, yet what is the productivity use or value created out of this?

Bitcoin-Energy-Consumption-vs-Ranked-Countries. Click to enlarge.

Gold is a finite resource with utility which makes it of asset of stored value of no other kind.

Bitcoin-vs-Gold-Total-Annual-Energy-Consumption. Click to enlarge.

While it only takes 1.4 barrels of oil equivalent to produce an ounce of gold, it takes 10.1 barrels of oil equivalent to produce one Bitcoin.

Bitcoin-vs-Gold-Total-Energy-Consumed. Click to enlarge

Therefore as per the Maths.

Bitcoin-Production-Cost-Bevand-as per May-31-2017. Which today is closer to 1800 per coin generated and rising. Click to enlarge.

Hence, anyone investing in Bitcoins needs to understand the total dynamics behind them and understand which asset if behaving more like a bubble.

Bitcoin-vs-Gold-Cost-vs-Market-Price, Click to enlarge.

Now if we are in agreement on input costs and the underlying just been a waste of valuable energy resources to output a single coin, lets look for the second most important attribute of that of Its value creating UTILITY and you will find there is none except for illegal money laundering, and stashing of hidden wealth from which Bitcoin has benefited enormously from the chaos and collapses of various economies across the world.

In fact Bitcoin founding and origination is mired in Mystery with rumors of the founder himself owning a million coins and we have various reports from a couple of years ago where sites which accepted Bitcoins in its infancy were gifted hundreds and thousands of coins.

First things first, If you are investing in either Bitcoin or Gold, it’s important to understand which asset is behaving more like a bubble than the other and Bitcoin is clearly a bubble and a Ponzi which needs fake news to thrive on. 

Fake news, bitcoin is be it all and end all.

Bitcoin Flyer, more fake news.

Soon the USA Government

Bitcoin Bandit

Bitcoin will starve the banks fake news

Santa Claus is coming early this year.

Whipee its going up and up

 

bitcoin-money laundering activities.

Jimmy Loves Bitcoin. Jimmy needs to understand front running in unregulated markets leads to fraud and scam.

Listen to the audio file below to understand the meaning of front running, it happens a lot in bitcoin where the order fills are not in accordance to price. Exchanges and brokers are part of this scam, while people without any background and understanding are been suckered in.

More Fake News. Do you know Bitcoin is worth a Million and Why.

Bitcoin is still tiny, a sparsely populated island compared to the one in demand. If this is not scam than what is it?

More Fake News. Its going to a million and here is how?

For those who are unaware of a Ponzi which is also a bubble. Look up Tulip Mania.

Its unregulated and largely biased by the few who profit the most out of the high price. Caveat Emptor if you are invested.

Bitcoin needs a constant barrage of fake news and steady stream of new incomers into the scheme to justify high prices, if this is not a ponzi that what is? Its highly fraudulent by the misrepresentations occurring coupled with “Front Running” activities of brokers and exchanges in tandem with such activities.

Steve Wozniak misquoted, every statement is manipulated for higher price.

Bitcoin Fork. If Bitcoin is decentralized, then how come some minor parties, not majority, decided to create a fork and outputted a new coin? Isn’t decentralization on the basis that no single parties or minor group of parties members can control or direct outcome without the consent of the many.

Who benefits. The multiplicity of money. A revolution of no other kind.

                                 In Conclusion, Fools and their money part always fast.

Further Reading.

Federal Reserve Bank of Dallas
Globalization and Monetary Policy Institute  | 
Working Paper No. 292
Download: https://dallasfedcm.ws.frb.org/-/media/Documents/institute/wpapers/2016/0292.pdf
Does Bitcoin Reveal New Information About Exchange
Rates and Financial Integration?
* | G. C. Pieters | Trinity University | December 2016

[embeddoc url=”https://idealbroker.com/wp-content/uploads/2017/11/Feds-Dallas-Financial-Intergration.pdf” viewer=”google”]

Does Governance Have a Role in Pricing? | Cross-Country Evidence From Bitcoin Markets
Robert Viglione | Department of Finance | Darla Moore School of Business | University of South Carolina | September 2015

[embeddoc url=”https://idealbroker.com/wp-content/uploads/2017/11/Governance-pricing-2013.pdf” viewer=”google”]

 

Digiconomist’s work on Bitcoin energy consumption.



How Many Barrels Of Oil Are Needed To Mine One Bitcoin,

 

Marc Bevand: Electricity consumption of Bitcoin: a market-based and technical analysis)

Caveat Emptor,

We are attending WEB SUMMIT 2017 in Lisbon.
Get to know us.

technopreneurship_Daniel-Mankani

Technopreneurship – The Successful Entrepreneur in the New Economy – Daniel Mankani. Published 2003. Pearson Education Asia – All rights, copyright reserved Daniel Mankani { ISBN0-13-046545-3 }

Chapter The Greed >>> Technopreneurship-The Successful Entrepreneur In The New Economy.

LINKS
Disclaimer. http://ul3.com/L30qH
Back to the Beginning. http://ul3.com/aeVUG
BTAMSC – http://ul3.com/vAqdH
The Greed: http://ul3.com/pUDgd
The Hope: http://ul3.com/CuC7d
The Ignorant, Zombies: http://ul3.com/PP8Ez
Perception vs Reality: http://ul3.com/UcYb1
History: http://ul3.com/1rCFA
Chart Patterns: http://ul3.com/54VLV
Introduction to Technical Analysis. http://ul3.com/kcYCE

Writings.
INTRODUCTION TO FINANCIAL MARKETS & TRADING OPPORTUNITIES IN COMMODITY, CURRENCY, & FINANCIAL FUTURES. http://ul3.com/dAFWj
Revolutionary Transformation Ongoing. http://ul3.com/kcYCE
– Global Economic Collapse January 18, 2016


Vasco da gama in reverse. Lisbon

October 8, 2017

Making money the last 30 yrs was easy, just go to a new land, check population density and growth, buy the biggest you can afford and wait. 10-15 yrs later, move away from the centre of gravity, go 5-10 kms out and rinse and repeat. The results were you could obtain an even bigger house with cash in the bank. Ah, now the coming times are different. It’s calls for another new strategy. Population growth is in decline worldwide and migration highest. Where will the new centre of gravity be?, this is the bet for the next coming decades. Lisbon is tech booming as we all can see.

 

 

Vasco da gama in reverse.

There is dynamism on the streets of Lisbon. A couple of years ago, Portugal was on its knees, begging for mercy, help me!.

Suddenly out of no where, the tech scene is booming, people migrating in from all across the world, call them digital nomads who are attracted to the beautiful country, even beautiful Madonna of “Pappa don’t Preach” has now headed there and what’s even more amazing is that, it all turned for the better for them without any government intervention or promotions, such as those running across the world by various silicon valley wanna bee’s. Its Amazing.

Digital Nomads

In the world without borders, its without barriers and monopolies protecting the inefficient. The days of segregation are behind us once we collective travel to the new destination. In our world, in the Knowledge Based Economy, Our Talent remains global and Capital will always follows it.

Our key task is to make identify redundant processes and make them obsolete. Our Value creation will Meet Success. Our Technology Deployment demands Speed.

Its Human Evolution not Revolution. Will you sink or swim?. Lisbon is Where We Shall All Meet. 

Information Technology

July 26, 2010

Information Technology

Summary-Technology by itself is unable to benefit companies, rather its the information that is derived from the use of it that provides managers and business owners with business strategies.

Technology on its own accord can only provide automation to single or multiple processes. Information technology on the other hand is a methodical understanding of all processes within any organized structure.

Businesses are simply an organized structure at work and its processes integrated at various levels, makes them efficient.

Integration consists of various datasets, derived from operational flow of divisions, departments and all systematic processes within, the study of this information provides management to better redeploy, resources at various levels to generate enhanced value of its existence, this could mean better value for customers and enhanced value for shareholders.

Once BTAMSC solutions are deployed, everyone is automatically made well aware, which redundant processes is the problem, once identified fatty layers are then structurally redeployed or made obsolete, this is where, corporate managers are instructed to better deploy skill and product resources in order to keep the corporation growing on track with its intended goals.

equilibrium

January 17, 2010
e·qui·lib·ri·um
ˌēkwəˈlibrēəm,ˌekwəˈlibrēəm/
noun
  1. a state in which opposing forces or influences are balanced.
    “the maintenance of social equilibrium
    synonyms: balance, symmetry, equipoise, parity, equality;

    “the equilibrium of the economy”
    • a state of physical balance.
      “I stumbled over a rock and recovered my equilibrium”
    • a calm state of mind.
      “his intensity could unsettle his equilibrium”

    Understand

Read more

Riding the second wave.

August 7, 2002

Riding the second wave, the manuscript for Technopreneurship – The Successful Entrepreneur In the New Economy.

[gview file=”http://banktech.net/pdfs/Riding_the_Second_WAVE-Daniel-Mankani.pdf” save=”1″]