Banking Technologies Asia.

Established Since 2001, Banking Technologies Asia MSC provides solutions in Financial Technology, Data Analytics, Epayment Solutions, Venture Capital & Incubation Services coupled with structured partnerships and joint ventures for small medium enterprises entrepreneurs. 

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Highlighted Features

Data Driven.

At the core of BTAMSC sits a group of Quants, on any given day, we have artificial intelligent bots, which spider information from various sources, into our datasets {without bias}, with this; we output probability ratio's, which tells us; What the future holds. What others refer to as good luck, we call it "Preparation before time".


We build businesses for the Future!, We own businesses in this future. We can sell you a business and a strategy consisting of a good degree of win/loss ratio. We can ReInvent, ReStructure, ReAlign and RePresent your organization. Our Fees are Dynamic and object oriented. Start your innovation today!.


We redefine processes with thoughtful consultancy and develop technology anew for deployment. We Collaborate, Incubate, Co-Invest and define strategic value creating ventures. Physically headquartered in Malaysia and Portugal, We service worldwide.


Having studied price data using computers since 1990's, In 1997 we designed a systematic trading approach to the financial markets, which evolved today into straight thru Algorithmic trading by 2005. In the year 2000 epayments system, ahead of the curve. In 2003 the dot com bust story documented in 2003 in our textbook. Technopreneurship - The Successful Entrepreneur in the New Economy.

Intellectual Property.

Since our inception, our constant focus has been to develop our large base of premium domains names with matching technology solutions for creating value on the world wide web. some of these include,,,, and For full visit please visit

Incubation and Venture Capital

We invest in strategic joint ventures and partnerships which deploy or collective fit our network plans and are currently seeking partners to value add in the following areas. Cloud storage solution, Social Network platforms, Alternative News Media, P2P+Merchant Payment Solutions, Virtual and Social Gifting Systems, Ebooks Magazine Stores and online educational platforms.

What People are saying!

“We build businesses for the Future!, We own businesses in this future. We can sell you a business and a strategy consisting of a good degree of win/loss ratio.”

Rozita Lim

( Software engineer )

Join Us. “BTAMSC seeks high energy individuals to participate in Futuristic information technology opportunities. We are a company, where there is something new to learn and deploy every day!. Foundations of the past are necessary, its hard to argue with the unintelligent.”

Karma Arora

(Manager )

“We can ReInvent, ReStructure, ReAlign and RePresent your organization. Our Fees are Dynamic and object oriented. Start your innovation today!”

Mark Gates

(Executive head )

Our Projects

  • Peer-2-Peer-Payments

  • Idealbroker - Institutional Financial Brokerage

  • Financial Advisory - Dynamictrader - Trend Trading Dynamics

  • Social Commerce Web and Mobile

  • Expats Community Social Networking

  • File Sharing Platform

  • Snapwire Breaking News

  • Co-Work and Incubation. Kuala Lumpur & Lisbon

  • Bidlease Domain Brokers

  • Work From Home


Curve Fitting, The greatest folly.

June 28, 2018

Author: Daniel Mankani

Curve Fitting the data - The greatest folly and the search for the Holy Grail. 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. 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. 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. Further Reading {cognitive dissonance}  Animal Spirits, Bubbles, Mania's and Market Peaks.{cognitive dissonance}  FOMO Signs of the Euphoric. The Bust is almost near!{cognitive dissonance}  BITCOIN – A Fraud and Ponzi in a Disillusioned World:{cognitive dissonance}  The Greed: Hope:{cognitive dissonance}  The Ignorant, Zombies:{cognitive dissonance}  Perception vs Reality: Transformation Ongoing. – Global Economic Collapse January 18, 2016

1990's The End of Real Innovation and Growth.

June 19, 2018

Author: Daniel Mankani

 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   [playlist ids="4277"] 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.[/caption] 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. FOMO Signs of the Euphoric. The Bust is almost near! BITCOIN – A Fraud and Ponzi in a Disillusioned World: The Greed: The Hope: The Ignorant, Zombies: Perception vs Reality: Revolutionary Transformation Ongoing.  – Global Economic Collapse January 18, 2016

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