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| Power supply for crypto mining | Provided by the Springer Nature SharedIt content-sharing initiative. One of the research questions which this work aims to address is the optimal lag to consider that would enable the discovery of a relationship between Bitcoin-related tweets and in particular the sentiment they express and actual price change. Whilst this paper focuses on sentiment analysis for Bitcoin price prediction, many different investment and trading strategies exist, and it would be opportune to investigate in future how this and other sentiment based strategies compare with other investment and trading strategies. Download citation. The following cleaning and pre-processing tasks depicted in Fig. In other words, a match happens: i if the first model outputs a 0, which means a decrease in price, and the second model outputs a class from 1 to 5 negative magnitude of price change ; or ii if the first model outputs a 1, which means an increase in price, and the second model outputs a class from 6 to 10 positive magnitude of price change. Table 6 Comparison with other studies Full size table. |
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A Realistic 2025 Kaspa (KAS) Price Prediction Using Machine Learning and SimulationsWe propose a novel Bitcoin Reddit Sentiment Dataset, a ready-to-use dataset annotated with state-of- the-art sentiment and emotion recognition. The dataset. Prices of top cryptocurrencies including BTC, ETH, ADA, DOT and BNB. CoinMarketCap, various Kaggle datasets, and multiple APIs. While Data, Time Series, Portfolio Analysis, Cryptocurrency, Bitcoin, Ethereum.
