Jagdish Chakole

According to our database, Jagdish Chakole authored at least 5 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A walk-forward multi-model approach to stock trading: leveraging sentiment, trend indicators, and transformer-based deep learning for next-day price forecasting.

Shahabaj Khan, Anil Kumar Kushwah, Jagdish Chakole

Int. J. Mach. Learn. Cybern., July, 2026

2023

Tutorial on Automated Trading using API.

Jagdish Chakole, Manish P. Kurhekar

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2021

A Q-learning agent for automated trading in equity stock markets.

Jagdish Chakole, Mugdha S. Kolhe, Grishma D. Mahapurush, Anushka Yadav, Manish P. Kurhekar

Expert Syst. Appl., 2021

Convolutional Neural Network-based a Novel Deep Trend Following Strategy for Stock Market Trading.

Jagdish Chakole, Manish P. Kurhekar

Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021

2020

Trend following deep Q-Learning strategy for stock trading.

Jagdish Chakole, Manish P. Kurhekar

Expert Syst. J. Knowl. Eng., 2020