A Statistical Arbitrage Quant Terminal: Pairs Trading, LSTM Diagnostics, and GPU-Accelerated Stochastic Risk Engine

Copyright & License

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.

BibTeX

@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},
        }

Cite This Article

Chachan, A., & Surampally, A., & Raj, A., & Saxena, A., & Singh, I., & G, P. B. M. (2026). A Statistical Arbitrage Quant Terminal: Pairs Trading, LSTM Diagnostics, and GPU-Accelerated Stochastic Risk Engine. International Journal of Innovative Research in Technology (IJIRT), 13(1), 9131–9139.

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