QOMPASS (Blockchain For Financial Markets Applications and Services)

in ico •  last year 

The Blockchain and digital currency world has paved way to a whole new understanding of decentralization.

This does not just pose a challenge to the traditional perspective of financial transactions but also focuses on eliminating the loopholes attached with the traditional financial system. This goes to prove how advanced the blockchain technology has gone, and also how it has been able to diminish global boundaries by offering a chance at having an alternate and improved future for the whole world.

Though the blockchain technology is still at its initial phase, and encounters several hitches in terms of quality of its service, ease of use, and performance, every generation of Blockchain is innovative, which makes it a better choice. The main force behind the Blockchain technology is how it has been able to utilize a decentralized system. However, the lack of a realworld application, and business and technological limitations, has been one of the drawbacks to the full adoption of the Blockchain technology.

Qompass thrives to provide solutions to the hitches commonly faced by the earlier generations of Blockchain, and also offers an even more innovative platform that can help in creating a bridge that connects the world together.



Qompass’s Block Chain is a new generation of Blockchain technology. It is a cooperative ledger that supports state changes that are performed by trusted and licensed nodes. The new Blockchain technology is capable of tens of thousands of transactions in a mere second (30,000 tps). This efficiency is achieved through performing on-client contract executions by means of verifying their output by 90 percent consensus algorithm used in the new block’s creation. The new and improved Blockchain does not require storing detailed information of every transaction; rather the side-chains are responsible for this action, and handle the full history storing procedure.


Also, whenever access to any stored data such as digital signatures, contract sources and transaction records are required, which are commonly stored in the Blockchain in other platforms, Qompass Block Chain verifies and authenticates such information by referring to the cloud service that is associated with it and responsible for handling all assets and related digital signatures. This cloud is distinct and completely separate from the Blockchain, thus resulting in an incredibly enhanced transaction speed, along with improved synchronization as well.



Artificial Intelligence

Artificial Intelligence (AI) explained to the basics, is any technology that is designed to work or operate in somewhat the same manner as humans. Obviously, it does not operate exactly the same as humans do, however, it uses the concept lying behind how human think, perceive and make decisions.

Like in the case of a human, when a mistake is made, which causes pain, the mind registers pain as an indication of not doing the same act again. Similarly, AI too learns from its mistakes and when one faulty decision is taken that delivers a negative result, the system remembers the act and attempts to eliminate its repetition in future in the same context.

Like humans, AI is also not perfect, however it does hold the capability of perfecting itself over time through analysis of its performance based on achieved results and desired results, and working on how to minimize the difference that lies in between.

Qompass uses and employs the concept of this Artificial Intelligence (AI) technology by initially using all available data to interpret a future outcome based on general trends that are followed to reach an outcome. Based on the requirement, relevant data is derived from the available information, after which the process of deep learning starts, through the analysis of all aspects that help in predicting an accurate future outcome of a currency.

After a prediction is given by the AI of the system, the results (achieved outcome) are then matched with the intended outcome to check for any difference that may have occurred. These differences are studied automatically the next time a prediction is made, by the process of smart learning, after which accurate predictions are made, eliminating any previous errors that may have existed.



In recent years, many studies have demonstrated successful applications of Artificial Neural Network (ANN) for accurate predictions in finance. [Gurusen et al.] presents a detailed survey of more than 25 contributions available in scientific literature on the application of ANNs in the financial field in the last few years.

Their conclusions have confirmed that ANN-based solutions outperform other statistical and mathematical approaches in most cases. Artificial neural networks are popular tools for financial decision making because they have very good adaptive and generalizing properties, which provide highly accurate prediction results.

A typical neural network can consist of a few hundred to thousands, even millions of neurons that are also referred to as units. These units are all interconnected to each other. They are divided into three groups; the input units, which are responsible for receiving different information from the outside world (the available data in our case) that will be recognized, learned and processed to be used, the output units which determine how to respond to the available information, and in between these two units lie the hidden units that constitute the majority of artificial neurons.

These units are fully connected with both the input and output units, and maintain a connection. These connections are represented by a number known as weight. If the connection between a given input and output unit excites or stimulates each other, a positive connection is formed, and vice versa. The higher the weight of a connection, the more influence it will have on other units.

In order to offer the right information, neural networks follow a procedure of back propagation, which in actual sense is a kind of feedback. As discussed earlier artificial neural network obtains and processes information but here, it utilizes that information and once this happens, the derived results are compared with the intended results. The differences found between the results are then modified to offer more accurate results the next time. Thus neural networks over time learn from their mistakes and develop by means of cross-checking and comparison, a mechanism that offers close to accurate results, ultimately reaching a point where the actual and intended results coincide with each other, leaving zero to bare minimal space of any difference.

Qompass employs the same SMART neural network system that collects information from available data, past trends, market situations, crowd behavior and so on. Based on the received information, grounds are set on which investors and platform subscribers can take informed decision related to trading activities. This is exceptionally helpful in making leveraged investment decisions.

Watch the Qompass Video presentation here:

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