FTEC- The First Trading Ecosystem Cryptocurrency Token

Introduction

For carrying out effective trading activities on cryptocurrency markets, FTEC serves as an ecosystem of intelligent services and neural networks. The worldwide mission is to lessen the number of unprofessional traders. The idea behind FTEC is to form a holistic ecosystem which will comprise all the essential tools for users with any level of experience and knowledge in the field of cryptocurrencies. The presently running projects based on algorithms for automatic trading on cryptomarkets have given an unlimited and valuable experience and consequently moved on to fulfilling additional ambitious objectives.

Problems Faced

Order book limitation on exchanges was the key problem faced in developing the first trading algorithms. It is required to define a queue of people for whom purchase and sale will be made if automatic module comes to a situation when the user can gain a profit on the market. As price is varying value and the price of additional buying rises after the buying of the first user (because buying demand has increased), the next user will purchase at a higher price. Therefore a potential profit of the last user is considerably lesser. The same condition is during the sale procedure. Sale for the first user will be at the maximum price and profit and for the last user - at the lowermost price and profit. The ecosystem's tokens can be used to resolve this problem.

Solution Provided by FTEC

The amount of issued tokens is constant. Consequently, the possibility of extra token emission is liquidated. It means that each token holder can make sure that he can manage a portion of tokens he bought. And secondly, there will be a chance to form a certain queue of users due to the irregular distribution of tokens between holders. In this case, any user can impact the position he has in the queue by altering the number of tokens he has. The user will be capable of tracking his position in the rating with the use of the related tool in user's account. The number of tokens on user's balance within the system will determine the place in the queue. During the queue forming, Tokens which are held on exchanges will not be considered. When considering all the above-mentioned factors, major problems can be solved using the token.