An ecosystem of intelligent services and neural networks for conducting effective trading activities on cryptocurrency markets
FTEC is an ecosystem of intelligent services and neural networks for conducting effective trading activities on cryptocurrency markets.
The idea of constructing a whole cryptocurrency ecosystem did not emerge out of the blue but was a logical conclusion from a broad experience gained during the development of cryptocurrency projects as well as trading services.
Our global mission is to reduce the number of unprofessional traders.
The key problem we faced in developing our first trading algorithms was order book limitation on exchanges. So if automatic module finds a situation when the user can get a profit on the market, it also needs to define a queue of people for whom purchase and sale will be made. As price is not a constant value and the price of further purchases increases after the purchase of the first user (because buying demand has risen), the next user will buy at a bigger price. So a potential profit of the last user is significantly lower. The same situation is during the sale process.
Sale for the first user will be at the highest price and profit and for the last user - at the lowest price and profit.
We can use ecosystem's tokens to solve this problem. Let's consider what advantages our own token can provide.
Firstly, amount of issued tokens is constant. Thus, the possibility of additional token emission is liquidated. It means that every token holder can be sure that he can manage a part of tokens he bought.
And secondly, we will have an opportunity to form a certain queue of users because of uneven distribution of tokens between holders. In this case, any user can influence the position he has
in the queue by changing the number of tokens he has. The user will be able to track his position in the rating by using the relevant tool in user's account. The place in queue will be determined by the number of tokens on user's balance within the system. Tokens, which are held on exchanges, will not be considered during the queue forming.
Taking into account all above-mentioned factors, using our own token can solve fundamental problem and allows to form fair queue which can be influenced by users.
Other options of token use in the ecosystem
All payments will be made in FTEC tokens. Also tokens will be used for quick transactions in the system and getting bonuses.
By now, there has been an increase in the interest of the broad masses in the technology of blockchain and cryptocurrency in general.
Before we started developing our first project coinbot.club, we conducted our own research, and also analyzed a large number of online polls to find out how people most often use cryptocurrencies in their activities.
This made it possible for us to conclude that, in spite of all the significant benefits that cryptocurrencies provide as a means of payment, the vast majority of people use them not for their intended purpose, but as a trading tool with a high level of profitability.
And, therefore, a project aimed at increasing the efficiency of trading will inevitably be in demand on the market of cryptocurrency products, as it saves time on market analysis, helps to reduce and diversify risks, enables to automate all routine processes associated with decision making.
We reviewed a number of existing solutions, conducted a comparative analysis and found that completely similar products are not represented on the market. Because their implementation is quite complex and requires some experience in software development due to all the features of the cryptocurrency industry. Our team got this experience while developing the coinbot.club project and therefore we strive to scale up to take our place in this industry.
Brief history of the project
The idea of constructing a whole cryptocurrency ecosystem did not emerge out of the blue but was a logical conclusion from a broad experience gained during the development of cryptocurrency
projects as well as trading services.
Almost a third of our team members have been trading for a long time and had been involved in the industry even before the rapid development of the cryptocurrencies.
The first and biggest problem we wanted to solve was the automation of the trading process. Exchange trading itself requires a constant study of a large number of statistical parameters, news, social signals, trends, and so on.
We began with the simplest task - the automatization of the very trading process, namely, buying and selling based on certain criteria of technical analysis.
More specifically: the double zigzag crossing of the Bollinger`s Top Line. In a dynamically growing market, the bot, which was based on such a simple algorithm, yielded quite good profits. However, the practice has shown that it worked effectively only on a growing market. And there is no constantly growing market, so we proceeded to the implementation of the second step.
The second step. Creating a social bot that would analyze all Twitter content by an adapted dictionary. Thus, we managed to improve the effectiveness of the trading platform by analyzing the impact of messages that contained words such as listing, partnership, update, hard fork
Since the ecosystem features already have a well-formed consumer market, there is a question of its full and effective monetization.
Taking into account the specifics of the cryptocurrency market, we have identified the following ways of receiving profit:
* Payments from users of the ecosystem for the use of certain services.
* The global increase of the interest in the ecosystem due to a high level of efficiency and usefulness of the ecosystem's products.
* Commission fees on the domestic market of trading recommendations.
* Useful thematic advertising integrations.