Abstract:
Cryptocurrency resembles dollars, euros, and yen. Instead of a national or federal bank, it secures online transactions using a powerful cryptographic ledger. Cryptocurrency exchanges allow trading. Mine it. Several months of exponential market capitalization rise made cryptocurrencies popular in 2017.
Over the past two years, geopolitical and economic crises have driven down global currency values, stock markets, and investor wealth. Cryptocurrencies are again popular. Our machine-learning technology predicts cryptocurrency prices.
This machine-learning program predicts cryptocurrency prices. Quantitatively predicting bitcoin prices. This system predicts with LSTM. The dataset covers 2017–2023. The admin can see all users and their Bitcoin, Ethereum, and Dogecoin predictions.
This method can accurately anticipate prices using machine learning under all technical trade indication conditions, decreasing its price prediction during evaluation.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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