Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{205972,
author = {Aditya Chachan and Aditya Surampally and Akash Raj and Arnav Saxena and Ishitva Singh and Prof. Bhaskar M G},
title = {A Statistical Arbitrage Quant Terminal: Pairs Trading, LSTM Diagnostics, and GPU-Accelerated Stochastic Risk Engine},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {9131-9139},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=205972},
abstract = {},
keywords = {Statistical Arbitrage, Pairs Trading, Cointegra- tion, OLS Regression, Z-Score, LSTM, Monte Carlo Simulation, Geometric Brownian Motion, Value at Risk, CVaR, GPU Accel- eration, Indian Equity Markets},
month = {June},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry