ARCHIVES
Research Article
Exploring Cryptocurrency Market Trends Using Artificial Intelligence
P. Gayatri1
T. Ashish2
B. Sankar3
P. Evan Theodar4
P. Srinivas Rao5
1 Assistant Professor, Computer Science Engineering, Sanketika Vidya Parishad Engineering College, Visakhapatnam, Andhra Pradesh, India. 2345 Computer Science Engineering, Sanketika Vidya Parishad Engineering College, Visakhapatnam, Andhra Pradesh, India.
Published Online: March-April 2024
Pages: 237-241
Cite this article
↗ https://www.doi.org/10.59256/ijire.20240502030References
[1] Greaves, A., & Au, B. (2015). Using the bitcoin transaction graph to predict the price of bitcoin. No Data.
[2] Hayes, A. S. (2017). Cryptocurrency value formation: An empirical study leading to a cost of production model for valuing bitcoin.
Telematics and Informatics, 34(7), 1308-1321.
[3] Shah, D., & Zhang, K. (2014, September). Bayesian regression and Bitcoin. In Communication, Control, and Computing (Allerton), 2014
52nd Annual Allerton Conference on (pp. 409-414). IEEE.
[4] Indra N I, Yassin I M, Zabidi A, Rizman Z I. Non-linear autoregressive with exogenous input (mrx) bitcoin price prediction model using
so-optimized parameters and moving average technical indicators. J. Fundam. Appl. Sci., 2017, 9(3S), 791-808`
[5] Adebiyi AA, Ayo C K, Adebiyi MO, Otokiti SO. Stock price prediction using a neural network with hybridized market indicators. Journal
of Emerging Trends in Computing and Information Sciences, 2012, 3(1):1-9
[6] Adebiyi AA, Ayo C K, Adebiyi MO, Otokiti SO. Stock price prediction using a neural network with hybridized market indicators. Journal
of Emerging Trends in Computing and Information Sciences, 2012, 3(1):1-9
[7] Ariyo AA, Adewumi AO, Ayo CK. Stock price prediction using the ARIMA model. In UKSim-AMSS 16th IEEE International Conference
on Computer Modelling and Simulation (UKSim), 2014, pp. 106-112
[8] Ron, D., & Shamir, A. (2013, April). Quantitative analysis of the full Bitcoin transaction graph. In International Conference on Financial
Cryptography and Data Security (pp. 6-24). Springer, Berlin, Heidelberg.
[9] H. White, “Economic prediction using neural networks: The case of IBM daily stock returns,” in Neural Networks, 1988., IEEE
International Conference on. IEEE, 1988, pp. 451–458
[10] Kaastra and M. Boyd, “Designing a neural network for forecasting financial and economic time series,” Neurocomputing, vol. 10, no.
3, pp. 215–236, 1996.
[11] H. White, “Economic prediction using neural networks: The case of IBM daily stock returns,” in Neural Networks, 1988., IEEE
International Conference on. IEEE, 1988, pp. 451–458
[12] Cheung, Y. W., Chinn, M. D., & Pascual, A. G. (2005). Empirical exchange rate models of the nineties: Are any fit to survive? Journal
of international money and finance, 24(7), 1150-1175.
[2] Hayes, A. S. (2017). Cryptocurrency value formation: An empirical study leading to a cost of production model for valuing bitcoin.
Telematics and Informatics, 34(7), 1308-1321.
[3] Shah, D., & Zhang, K. (2014, September). Bayesian regression and Bitcoin. In Communication, Control, and Computing (Allerton), 2014
52nd Annual Allerton Conference on (pp. 409-414). IEEE.
[4] Indra N I, Yassin I M, Zabidi A, Rizman Z I. Non-linear autoregressive with exogenous input (mrx) bitcoin price prediction model using
so-optimized parameters and moving average technical indicators. J. Fundam. Appl. Sci., 2017, 9(3S), 791-808`
[5] Adebiyi AA, Ayo C K, Adebiyi MO, Otokiti SO. Stock price prediction using a neural network with hybridized market indicators. Journal
of Emerging Trends in Computing and Information Sciences, 2012, 3(1):1-9
[6] Adebiyi AA, Ayo C K, Adebiyi MO, Otokiti SO. Stock price prediction using a neural network with hybridized market indicators. Journal
of Emerging Trends in Computing and Information Sciences, 2012, 3(1):1-9
[7] Ariyo AA, Adewumi AO, Ayo CK. Stock price prediction using the ARIMA model. In UKSim-AMSS 16th IEEE International Conference
on Computer Modelling and Simulation (UKSim), 2014, pp. 106-112
[8] Ron, D., & Shamir, A. (2013, April). Quantitative analysis of the full Bitcoin transaction graph. In International Conference on Financial
Cryptography and Data Security (pp. 6-24). Springer, Berlin, Heidelberg.
[9] H. White, “Economic prediction using neural networks: The case of IBM daily stock returns,” in Neural Networks, 1988., IEEE
International Conference on. IEEE, 1988, pp. 451–458
[10] Kaastra and M. Boyd, “Designing a neural network for forecasting financial and economic time series,” Neurocomputing, vol. 10, no.
3, pp. 215–236, 1996.
[11] H. White, “Economic prediction using neural networks: The case of IBM daily stock returns,” in Neural Networks, 1988., IEEE
International Conference on. IEEE, 1988, pp. 451–458
[12] Cheung, Y. W., Chinn, M. D., & Pascual, A. G. (2005). Empirical exchange rate models of the nineties: Are any fit to survive? Journal
of international money and finance, 24(7), 1150-1175.
Related Articles
2024
Embedding Artificial Intelligence for Personal Voice Assistant Using NLP
2024
Analysis of Pedestrian Steel Bridge subjected the Seismic Load and Wind Load using Damper at different Span
2024
Review Paper on Comparison of Asymmetric and Symmetric RCC Building with Soil Structure Interaction by Dynamic Loading
2024
BLYNK RFID and Retinal Lock Access System
2024
ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs
2024