Articles

GNY Tests the Power of the Crowd in Financial Forecasting through an Exciting New Initiative

Date: Thursday, October 19, 2023 In an innovative leap, GNY seeks to further refine its already impressive 97% accuracy rate in the 7-day Bitcoin forecast published daily in the GNY Range Report at www.gnyrr.com by harnessing the insights of the masses. The objective is to explore if collective user forecasts can fine-tune the data set that fuels their ML […]

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Explore GNY’s New Machine Learning Engine – Fabian

The Core of the GNY Range Report’s crypto intelligence is a series of LSTM machine learning models that provide predictions for 12 top crypto currencies. We get a lot of curiosity for how these systems work and this Medium article gets into the weeds. Introducing Fabian – GNY’s new Machine Learning Engine >>

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GNY Range Report Now Provides Data for 12 top Cryptocurrencies

May 28, 2023 – GNY Range Report Now Provides Forecasts, Trend Analysis, Correlations, and Historical Analysis for 12 top Cryptocurrencies AI cryptos have reached a $4.27 billion market cap, up 56% from last week, reported Forbes this month. Crypto winter has moved to spring, and AI related cryptocurrencies are leading the way. GNY.io is a

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Does Crowd Sentiment Influence Volatility Forecast Models?

Markets, cryptocurrency included, have always been influenced by the crowds of buyers and sellers that engage with them. Crowd sentiment and social sentiment have been discussed heavily for the past few years when it comes to the fortunes and forecasts of crypto markets in particular. But how can this data be harvested and used to

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How Will Data NFTs Shape the Evolution of Collaborative ML?

It’s clear that Machine Learning and AI is in the process of revolutionizing our modern world, but how proprietary data sets will evolve to meet these changes remains to be seen. At GNY we are excited by the structural capacities that blockchain technology can bring to this evolution, specifically the innovations surrounding transparency and auditability

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