As traders and investors grapple with market unpredictability, yPredict, a project currently under development, is preparing to offer a blend of traditional and modern analytical tools. The project has raised an initial $3.69 million for its native token, $YPRED, and is setting the stage for beta releases in late 2023 and full releases in 2024.
yPredict promises to assist market participants in making more informed decisions by combining established statistical models with advanced artificial intelligence technologies.
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yPredict will use a blend of old and new analytical methods. On one hand, it employs traditional models like ARIMA (Autoregressive Integrated Moving Average), a model that has been effective since the 1970s in various sectors, including finance.
On the other, yPredict is integrating more recent AI models such as Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) for real-time AI signals.
ARIMA focuses on analyzing past values to identify patterns that could be useful for future forecasting. LSTM, a type of recurrent neural network, is particularly good at predicting time series data. It can analyze historical prices to provide insights into future price trajectories.
Meanwhile, SVM is a supervised learning model used for both classification and regression tasks. For price prediction, yPredict uses SVM to predict continuous target values based on past data.
The combination of these various models will give traders and investors a multi-faceted approach to understanding market trends. This blend of traditional and modern techniques is what sets yPredict apart from other financial forecasting tools.
Beyond offering advanced AI signals for price prediction, yPredict has another
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