Capitalise Launches Beta Group for Translating Plain Text English to Crypto Trading Bots

Investment trade enhancement company, Capitalise.AI is launching a Beta group to test its unique DIY platform that translates plain text English into executable algorithmic programs.These programs or fully working automatic trading are plugged directly into exchanges, identifying trends and executing trades according to the strategies of their owners.


The Growing Trend of Automated Trading

The use of algorithmic executions in the form of trading bots to manage digital asset portfolios is growing in popularity. Both traders and investors are finding ways to automatically implement their ideas and intentions without necessarily being present in real time.

Despite the huge profit opportunities present in trading cryptocurrencies, the majority of the participants in this industry do it as an added money-making process to their regular jobs. Hence, most traders do not spend most of their time watching the markets in order to make informed decisions or execute trades.

Based on the part-time nature of the trading venture as taken up by many, opportunities are often missed and to either exit trades and make profit or avoid losses.

Also, manual trade placement implies emotional involvements that may lead to poor trade judgement.

However, access to fully working algorithm or automated trading bots is something that is not accessible to the average joe. These cost a lot of money to acquire, or knowledge of coding.

For these reasons and more, Capitalise are set to democratize the use and access of automated trading and algos.


Capitalise Launches Beta Group for Translating Plain Text English to Crypto Trading Bots

Fundamental Composition of Bots

Currently, there are dozens trading bots in existence, ranging from free bots to full purchase or subscription-based products. These bots also vary in terms of usability, risk exposure levels, complication, and profitability. Whatever the classification of any given bot, they are all fundamentally products of a combination of indicators that are programmed to identify trends and execute trades on their own. Therefore, what bots do is to simply bring into existence the ideas and intentions of their creators.

Considering the limited availability of the number of developers and experts in algorithmic programming, many traders depend on the services of third parties to lay hold of trading bots. Hence, the characteristics of a bot may not be absolutely suitable or peculiar to the needs of its user, except it is the same user that created it. Therefore, an excellent trader without programming expertise might end up with a bot that does not satisfy his ambitions.



DIY Programming

In order to solve this problem, Capitalise has created a platform makes it unnecessary for traders to seek the services of these third parties anymore.

On the CapitaliseCrypto platform, users can simply type their ideas in plain English language, what they want their algorithm to do and have them translated into a real life and working algorithm that can be connected to an exchange.

This development brings traders closer to their venture and gives them total control of their activities and portfolio. Traders can now manage their own trading strategies by themselves while eliminating emotions like fear and greed. With Capitalise, no previous coding knowledge is needed and the platform will allow integration of 3rd party data providers via API.

Beyond the direct creation and implementation of personal trading strategies automatically, traders can also monetize their created algorithms in a social model style.

Meaning that if a user designs a good algorithm that gives nice returns, the user can allow other people to use such analgorithm and take some profit in doing so.

Therefore, Capitalise is described as a Do It Yourself (DIY) algorithm maker that allows anyone express their ideas in the simplest of ways.

Do you use automated trading bots? How do you think they will impact crypto trading and investing in the future? Let us know in the comments below.

Images courtesy of Shutterstock

21.03.2018 / 13:45 134
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