Application of holt’s linear method for forecasting 1INCH cryptocurrency prices
DOI:
https://doi.org/10.53088/jadfi.v6i1.2524Keywords:
Crypto, 1INCH, Forecasting, Holt's Linear MethodAbstract
The advancement of digital technology has driven significant innovations in the financial sector, notably the emergence of cryptocurrencies like the 1inch protocol (1INCH). Due to extreme price volatility, forecasting future values remains highly challenging yet crucial for investors. This study aims to predict the price of the 1INCH token from November 2025 to March 2026 using Holt’s Linear forecasting method. A total of 58 months of historical data, spanning from January 2021 to October 2025, were obtained from Kaggle and partitioned into 70% training and 30% testing datasets. Through parameter optimization, the optimal smoothing level () and trend () were identified as 0.925 and 0.175, respectively. The evaluation yielded a training Mean Absolute Percentage Error (MAPE) of 18.33% and a testing MAPE of 19.94%, classifying the forecasting accuracy as "good". Furthermore, the narrow 1.61% generalization gap between these errors demonstrates the model's robustness against overfitting. Consequently, the forecasts indicate a continuing long-term downward trend, with prices projected to decrease from 0.2065 in November 2025 to 0.1771 by March 2026, providing a baseline quantitative reference that can complement broader market analysis.
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Copyright (c) 2026 Nandia Primasari, Galuh Amanda, Nadila Fitriani, Dea Gracelyn Sijabat
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