Built as a micro-services based distributed architecture, its primarily function is to analyse large volumes of data and provide clear trading indicators to the client in real-time. The system combines natural-language processing, sentiment analysis and machine learning algorithms to classify large volumes of data into clear (buy, sell or hold) trading decisions in real-time.The default approach is implemented using a maximum entropy algorithm with feedback, which applies a multinomial logistic regression model to categorise data and continually improve accuracy.It is currently being developed specifically for cryptocurrency applications starting with Bitcoin (BTC), Ethereum (ETH), Litecoin (LTC) and all other altcoins with a large market capitalisation (more that $100mm).
Q4 / 2017
Project Launch - Q4 / 2017
Q1 / 2018
Prototype Development - Q1 / 2018
Q2 / 2018
Token Sale - Q2 / 2018
Q3 / 2018
Artificial Intelligence - Q3 / 2018
Q4 / 2018
Token Burn - Q4 / 2018
Q1 / 2019
Beta Release - Q1 / 2019
Q2 / 2019
GO LIVE! - Q2 / 2019
Q4 / 2019
Enterprise Edition: TaaS - Q4 / 2019
Q2 / 2020
Hedge Fund Setup - Q2 / 2020
Attention. There is a risk that unverified members are not actually members of the team
Keep an eye on TradeMindx because they have a quality team and seam to know what they are doing. They could end up making a platform that offers a lot of solutions to the right users and makes a lot of people money.
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