International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
ThinkCrypto: Forecasting and Share Price of Cryptocurrency Using Blockchain Technology Mrs. Rinkal Bari1, Ms. Ankita Gupta2, Ms. Rutuja Jadhav3, Ms. Shruti Lad4 234Information Technology, Theem College Of Engineeering, Mumbai, India
1Professor, Department Of Information Technology, Theem College of Engineering, Boisar, Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The cryptocurrency markets have experienced
our forecasting model, we also suggest integrating dynamic blogs via API to deliver real-time market data. The goal of this introduction is to lay the groundwork for the discussion of methodology, data sources, and empirical analysis that will take place in the following parts. In the end, we hope to offer investors insightful guidance on navigating the everchanging cryptocurrency markets.
notable expansion and fluctuations in the past several years, rendering them a captivating domain for both investors and scholars. This study investigates how blockchain technology can be used to predict cryptocurrency prices by taking advantage of the immutability and transparency of blockchain data. Furthermore, the research incorporates dynamic blogs via API integration to offer instantaneous sentiment analysis and news updates, augmenting the precision and timeliness of the forecasting model. This research investigates the use of blockchain technology for cryptocurrency share price predictions. We provide an approach that combines market sentiment analysis, network activity, and historical trading data with the decentralized and transparent characteristics of blockchain to forecast future price fluctuations. Furthermore, we talk about how dynamic blogs can be integrated using APIs to deliver real-time market data and raise the precision of our projections. We show how well our method forecasts cryptocurrency share values through empirical analysis and case studies, helping investors make wise decisions in unpredictable markets.
2. LITERATURE SURVEY Data and communication Improvement (ICT) have altered the state of life from the extreme few a long time since different works out of the way of life have been blended online and they have become more advantageous. Cryptocurrency is a particular sort of virtual cash that works on the benchmarks of cryptography and electronic medium communication. It selects up parts of thought interior while later long time. It negates the centralized progressed cash and central keeping cash system since its decentralized incorporation. Furthermore, it revolutionizes the computerized trade grandstand by making a free stream trading system that works without any third party. The utilization of virtual cash or cash has coming in afterward long time. The paper highlights the introduction of cryptocurrency, its history, few viewpoints on it, and workings of cryptocurrency conjointly highlighting the conclusion of the cryptocurrency in India.
Keywords: ARIMA, Long-Short-Term-Memory (LSTM), Bitcoin, Litecoin, Cryptocurrency, Price Forecasting.
1.INTRODUCTION The financial sector has seen a notable surge in the use of cryptocurrencies, with Bitcoin being the most well-known and first cryptocurrency. A new method of carrying out transactions and keeping value has been made possible by the advent of cryptocurrencies. To make wise investing choices, one must, nevertheless, accurately estimate the share values of these digital assets due to their volatility. This article aims to investigate the potential applications of blockchain technology for cryptocurrency share price predictions, as well as to present dynamic blogs through an application programming interface (API). Blockchain technology has completely changed several industries, and the cryptocurrency space is one of its most well-known implementations. Predicting Bitcoin share prices has been more popular in recent years due to the unstable nature of cryptocurrency markets. The purpose of this study is to investigate how blockchain technology might be used to estimate cryptocurrency share values, taking advantage of its transparent and decentralized structure to improve prediction accuracy. To further enhance the performance of
© 2024, IRJET
|
Impact Factor value: 8.226
2.1 Existing Paper The growing popularity of blockchain technology can be attributed to its numerous uses across different industries. It has an advantage over conventional centralized systems because it offers anonymity, integrity, immutability, and decentralization. Cryptocurrencies are the most widely used use of this technology, having seen a sharp increase in both market value and popularity in recent years. It is receiving significant investment from multinational firms, large institutions, and individual investors. The cryptocurrency market is not as stable as traditional commodities markets, though. It is extremely volatile, unstable, and unpredictable due to the numerous technological, emotive, and legal aspects that can influence it. Many studies have been conducted on different cryptocurrencies in an attempt to predict values with high accuracy, however, most of these methods are not practical for real-time use. Inspired by the above-described conversation, we present in this work a
|
ISO 9001:2008 Certified Journal
|
Page 2340