Artificial Intelligence gears up decentralized exchanges with state-of-the-art prediction tools crucial for the best ROI
If we contemplate the fact that the cryptocurrency asset trading is the core driver of an overall expansion of the blockchain industry, then the fact that these cryptocurrency trading platforms are bringing more than 100,000 users on a day-to-day basis with transactions going as high as $50 billion come as no surprise. Throughout 2019 though, it seems that the exchange volumes and transactions have become mildly dormant as the exchange infrastructure became too complex for the newcomers to use and the market itself became immensely volatile. Consequently, successful traders turned to a more streamlined solution — algorithmic trading.
If the cryptocurrency exchanges are the new kid on the finance block, then surely MeterQubes is its ambassador. MeterQubes is a state-of-the-art decentralized exchange built on a robust blockchain protocol, providing an ample of trading pairs, secured ecosystem, and a real-time matching system supported by self-learning artificial intelligence (AI). The cryptocurrency trading software will grant its traders a sought-after edge in terms of Artificial Intelligence-powered trading built in a fully decentralized structure. This innovative decentralized system, hand-in-hand with Artificial Intelligence-powered trading tool (algorithms), will help traders predict the asset’s price utilizing various prediction methods.
Prediction based on a deep-learning algorithm
With the purpose of opposing volatility, MeterQubes have developed a prediction model based on Neural Networks which is able to reach complex decisions using Data mining and Pattern Recognition. They can analyze the prevailing cryptocurrency exchange rates to come up with market forecasts by the minute. The precision of the results of this analysis depends on many variables such as the amount of computational power, the finesse of the prediction algorithm, and the quality and quantity of the analyzed data.
Artificial Intelligence (AI) Powered trading: Suggestion + Sentiment analysis + Deep learning algorithm
Artificial Intelligence-powered trading is an AI-backed technology used to help traders gain an edge by gauging the sentiment expressed in trader’s long/short ratio, news analysis, social media publications, and other noteworthy signals to estimate the signs of bullishness or bearishness prevailing in the market. MeterQubes built an automatic trading framework that extracts the sentiment from these sources and enables users to make better trading decisions.
MeterQubes mission is to provide everyone interested in the new digital economy with the necessary tools to analyze and assess the market opportunities. We have developed state-of-the-art self-learning algorithms that help beginners and advanced traders gain an edge in the market and provide investors with a better understanding of market dynamics and trends. Through our machine learning expertise, we enable traders to make better investment decisions for the future.
Our competitive advantage lies in our fundamental view of how a digital asset exchange should operate. Thereby, we focus on 3 main pillars:
– Decentralization (Fast transactions, Transparency, Immutability, Security, Anonymity, non-custodial environment, etc)
– Machine Learning
MeterQubes Decentralized Exchange
MeterQubes is a state-of-the-art decentralized exchange built on a robust blockchain protocol, providing an ample of trading pairs, secured ecosystem, and a real-time matching system supported by self-learning artificial intelligence.
In light of the current digital economy market, MeterQubes emerges as a demand for an all-in-one decentralized exchange keeps surging. With our well-developed exchange architecture, we aim to finally bring the sought-after liquidity and volume that the majority of crypto traders are yearning for.
– For more information on the ICO ratings about the project, team, vision, and whitepaper, please visit www.meterqubes.io
– To register for the IEO or to get more details about the project, please visit the following Exmarkets Exchange link