AI

AI model aims to boost stock price forecasting

Kari Jaaskelainen

10 Jan 2026 — 1 min read

AI model aims to boost stock price forecasting

Can AI forecast stock prices more reliably? A new study introduces NP-DNN, which pairs NeuralProphet (a time-series forecasting tool) with a deep neural network (multi-layer perceptron) to learn hidden patterns in market data.

Clean the data: Z-score normalization removes scale differences so trends stand out.
Fill the gaps: Missing values are imputed to make the history complete.
Learn the signal: The MLP captures complex, non-linear relationships for stronger predictions.

In their experiments on historical prices, NP-DNN reportedly reached 99.21% accuracy, outperforming other tested approaches.

Read the paper: https://arxiv.org/abs/2601.05202v1

Note: Results are on past data and may not generalize. Not financial advice.

Paper: https://arxiv.org/abs/2601.05202v1

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AI finance stocks deep-learning time-series forecasting neuralprophet machine-learning research

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