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Academic Journal of Business & Management, 2023, 5(14); doi: 10.25236/AJBM.2023.051415.

Futures Trading Price Prediction Based on Big Data

Author(s)

Yunzhe Liu

Corresponding Author:
Yunzhe Liu
Affiliation(s)

School of Economics and Management, Qinghai Minzu University, Xining, 810007, Qinghai, China

Abstract

The futures market offers a secure, precise and quick exchange platform for traders, offering efficient transactions and no triangle bonds, which is beneficial for establishing and improving the market economy. However, for trading prices, it is generally difficult to predict. Therefore, this article uses big data analysis methods to predict futures trading prices. The research results show that after using big data for prediction analysis, the highest accuracy rate reaches 99.5%, and the highest recall rate also reaches 84.2%, which is much improved compared to traditional prediction methods. Therefore, the final conclusion can be drawn that big data can effectively predict futures trading prices.

Keywords

Futures Trading, Big Data, Price Forecasting, Feature Variables

Cite This Paper

Yunzhe Liu. Futures Trading Price Prediction Based on Big Data. Academic Journal of Business & Management (2023) Vol. 5, Issue 14: 82-87. https://doi.org/10.25236/AJBM.2023.051415.

References

[1] Reznik, N. P., S. V. Dolynskyi, and N. Y. Voloshchuk. "Retrospective analysis of basic risk as a part futures trading in Ukraine." International Journal of Scientific and Technology Research 9.1 (2020): 3419-3423.

[2] Yang Haochang, et al. "The impact of exchange rate futures fluctuations on macroeconomy: Evidence from ten trading market." Emerging Markets Finance and Trade 58.8 (2022): 2300-2313.

[3] Luo, Jiawen, et al. "Forecasting realized volatility of agricultural commodity futures with infinite Hidden Markov HAR models." International Journal of Forecasting 38.1 (2022): 51-73.

[4] Jiang, Ying, Neil Kellard, and Xiaoquan Liu. "Night trading and market quality: Evidence from Chinese and US precious metal futures markets." Journal of Futures Markets 40.10 (2020): 1486-1507.

[5] Oglend, Atle, and Hans‐Martin Straume. "Futures market hedging efficiency in a new futures exchange: Effects of trade partner diversification." Journal of Futures Markets 40.4 (2020): 617-631.

[6] He, Feng. "Price discovery and spillover dynamics in the Chinese stock index futures market: a natural experiment on trading volume restriction." Quantitative Finance 20.12 (2020): 2067-2083.

[7] Avellaneda, Marco. "Trading signals in VIX futures." Applied Mathematical Finance 28.3 (2021): 275-298.

[8] Aysan, Ahmet Faruk, Behar Sadriu, and Humeyra Topuz. "Blockchain futures in cryptocurrencies, trade and finance: a preliminary assessment." Buletin Ekonomi Moneter Dan Perbankan 23.4 (2020): 525-542.

[9] Yang Jian, Zheng Li, and Tao Wang. "Price discovery in Chinese agricultural futures markets: A comprehensive look." Journal of Futures Markets 41.4 (2021): 536-555.

[10] Wellum, Caleb. "Energizing Finance: The Energy Crisis, Oil Futures, and Neoliberal Narratives." Enterprise & Society 21.1 (2020): 2-37.

[11] Liwang, Minghui, Zhibin Gao, and Xianbin Wang. "Let’s trade in the future! A futures-enabled fast resource trading mechanism in edge computing-assisted UAV networks." IEEE Journal on Selected Areas in Communications 39.11 (2021): 3252-3270.

[12] Couleau, Anabelle, Teresa Serra, and Philip Garcia. "Are corn futures prices getting “jumpy”?." American Journal of Agricultural Economics 102.2 (2020): 569-588.

[13] Sharma, Arpita, and Shailesh Rastogi. "Spot volatility prediction BY futures and options: an INDIAN scenario." International Journal of Modern Agriculture 9.3 (2020): 263-268.

[14] Rastogi, Shailesh, Vikas Tripathi, and Sunaina Kuknor. "Informational role of futures volume for spot volatility." Pacific Accounting Review 34.1 (2022): 49-69.

[15] Shynkevich, Andrei. "Impact of bitcoin futures on the informational efficiency of bitcoin spot market." Journal of Futures Markets 41.1 (2021): 115-134.

[16] Chen Xinhua, Liu Jie. "Research and inspiration on Soybean meal futures price Prediction method based on ARIMA model." Rural South 36.2 (2020): 23-26.

[17] Yang, Jin. "Brief introduction of medical database and data mining technology in big data era." Journal of Evidence‐Based Medicine 13.1 (2020): 57-69.

[18] Wang, Jin. "Big data service architecture: a survey." Journal of Internet Technology 21.2 (2020): 393-405.

[19] Wang, C. Jason, Chun Y. Ng, and Robert H. Brook. "Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing." Jama 323.14 (2020): 1341-1342.

[20] Dai Hongning. "Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies." Enterprise Information Systems 14.9-10 (2020): 1279-1303.