Introducing my new project: Trademindx – a platform that aims to facilitate daily trading decisions through applied natural-language processing, sentiment analysis and machine learning algorithms. 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.
Simply put, Trademindx crunches huge amounts of data and tells you which cryptocurrencies to invest in for maximum returns.
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).