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Machine learning cryptocurrency information classifier

Machine learning cryptocurrency information classifier

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BITCOIN HISTORY REPEATING IN 2 MONTHS !!!
ML models can capture trend and momentum information and forecast future price movements by utilizing a variety of techniques, including time series analysis [. Public opinion about crypto is most prevalent on Twitter. Therefore, we aim to classify Bitcoin investing better by combining Machine Learning Algorithm LSTM. This work proposes a system based on machine learning aimed at creating an investment strategy capable of trading on the cryptocurrency exchange markets.

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calendar_month 03.07.2021

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calendar_month 06.07.2021

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calendar_month 07.07.2021

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calendar_month 08.07.2021

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J Risk Financ Manag 12 1 Its accuracy and binary classification performance show that it is more suitable for long-term predictions. Stated differently, changing market conditions means alternating between periods characterized by a strong bullish market, where most returns are in the upper-tail of the distribution, and periods of strong bearish markets, where most returns are in the lower-tail of the distribution see, e. If two consecutive rows have the same value for their closing prices, their OBV value is also equal. Public opinion about crypto is most prevalent on Twitter.