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| Submission Date : June 17, 2020 | Publication Date : July 31, 2023 |
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Crypto currencies are receiving a lot of attention from media due to its importance. Several papers have similar prices but some others don't, but the time complexity of those forecasts is greater, so we use an artificial intelligence-linked algorithm called the least absolute shrinkage selection operator here in this paper to reduce the time complexity. While there have been several prior reports, the larger part of them has focused entirely on the behaviour of Bitcoin. In this paper, we propose using regular AI devices and accessible online networking information to predict the development of value of Bitcoin, Ethereum, Ripple and Litecoin’s digital currency showcase developments. We are also using the neural networks, SVM and Random Forests while analyzing the components from twitter Market. The results demonstrate that it is possible to forecast cryptographic money markets utilizing AI and hypothesis checking, where Twitter information may be used to anticipate certain cryptocurrencies without someone else, and NN can outflow various models.
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| Title | Journal / Keywords |
|---|---|
| An analysis of Artificial Intelligence and its role in the cryptocurrency |
Samvakti Journal of Research in Information Technology Artificial Intelligence, Crypto Currency, Crypto Trading, Bots |
| Title | Journal / Keywords |
|---|---|
| Defining and auto-Detection of fake news-classifier |
Samvakti Journal of Research in Information Technology Machine Learning, Random Forrest, Data Analysis |
| A Novel financial analysis of stock market |
Samvakti Journal of Research in Information Technology Machine Learning, Data Pre-processing, Data Mining, Dataset, Stock, Stock Market |
| Title | Journal / Keywords |
|---|---|
| An atypical method for prognosis and analysis of financial insolvency |
Samvakti Journal of Research in Information Technology Prediction, Bankruptcy, Neural Network, ANN |
| THE BANKRUPTCY TREND OF INDIAN COMPANIES: UNDERSTANDING THE SIGNIFICANCE OF RISK ASSESSMENT MODELS |
Samvakti Journal of Research in Business Management Bankruptcy, Prediction, Financial Performance, Financial Trend |
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