In a competitive field where traders and analysts are on the lookout for potential opportunities, yPredict is gaining traction as a platform offering a unique combination of traditional statistical models and AI trading tools.
Designed to provide a complete trading solution, yPredict is in the late stages of its crypto presale, having already raised $4,34 million of its funding goal of $6.5 million.
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What makes yPredict unique is its strategy of fusing established forecasting models with cutting-edge machine learning techniques to offer an adaptive price prediction system.
Traditional models like ARIMA (AutoRegressive Integrated Moving Average) have been reliable in various industries for predicting sequential data points.
2019 NSIT research indicates that ARIMA achieved an average accuracy rate of 86.424% when forecasting prices for 95% of the cryptocurrencies analyzed. But these models have limitations when it comes to the rapid market changes typical of the cryptocurrency market.
On the other hand, modern machine learning models such as LSTM (Long Short-Term Memory) and SVM (Support Vector Machines) are designed to adapt to new data sets. By integrating both conventional and AI trading methodologies, yPredict seeks to provide a system capable of quickly reacting to market fluctuations.
Beyond its crypto presale, yPredict is working to develop a variety of products to enhance crypto trading further. These include yPredict Predictions, yPredict Analytics, yPredict Repository, yPredict Terminal, and yPredict Marketplace.
The company is hoping to be more than just a token sale platform; it's offering a comprehensive set of AI trading tools that can potentially change the way crypto trading is conducted.
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