American Psychological Association 6th edition

Wali, S., Khan, M. I., & Zulfiqar, N. (2025). Forecasting fluctuations in cryptocurrency trading volume using a hybrid LSTM–DQN reinforcement learning. Digital Finance: Smart Data Analytics, Investment Innovation, and Financial Technology, 7(4), 1173-1202. https://doi.org/10.1007/s42521-025-00156-1

ISO-690 (author-date, English)

WALI, Samad, KHAN, Muhammad Irfan und ZULFIQAR, Noshaba, 2025. Forecasting fluctuations in cryptocurrency trading volume using a hybrid LSTM–DQN reinforcement learning. Digital Finance: Smart Data Analytics, Investment Innovation, and Financial Technology. 1 Dezember 2025. Vol. 7, no. 4, p. 1173-1202. DOI 10.1007/s42521-025-00156-1.

Modern Language Association 9th edition

Wali, S., M. I. Khan, und N. Zulfiqar. „Forecasting Fluctuations in Cryptocurrency Trading Volume Using a Hybrid LSTM–DQN Reinforcement Learning“. Digital Finance: Smart Data Analytics, Investment Innovation, and Financial Technology, Bd. 7, Nr. 4, Dezember 2025, S. 1173-02, https://doi.org/10.1007/s42521-025-00156-1.

Mohr Siebeck - Recht (Deutsch - Österreich)

Wali, Samad/Khan, Muhammad Irfan/Zulfiqar, Noshaba: Forecasting fluctuations in cryptocurrency trading volume using a hybrid LSTM–DQN reinforcement learning, Digital Finance: Smart Data Analytics, Investment Innovation, and Financial Technology 2025, 1173-1202.

Emerald - Harvard

Wali, S., Khan, M.I. und Zulfiqar, N. (2025), „Forecasting fluctuations in cryptocurrency trading volume using a hybrid LSTM–DQN reinforcement learning“, Digital Finance: Smart Data Analytics, Investment Innovation, and Financial Technology, Vol. 7 No. 4, S. 1173-1202.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.