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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM58465

AI- Hedge Fund Managing System

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM58465

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM58465

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Sayali Sawant

AM

Aarya Manjarekar

VS

Vighnesh Shenekar

SYGPPY

Sumit Yadav Guide: Prof. Prajakta Yadav

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Abstract

his study introduces an intelligent hedge fund management platform powered by Artificial Intelligence, designed to enhance and automate investment decisions using live market data. The system combines blockchain-enabled tokenized assets (xStocks), social media sentiment evaluation, and automated trading techniques such as Dollar Cost Averaging (TDCA) and limit-based trading. By integrating AI with decentralized technologies, the platform minimizes human bias, improves analytical accuracy, and strengthens portfolio outcomes. The proposed model delivers a scalable and efficient framework suitable for modern financial ecosystems.

KEYWORDS

Artificial Intelligence Hedge Fund Algorithmic Trading Blockchain Solana Sentiment Analysis Automated Trading xStocks

Cite This Article

Sayali Sawant, Aarya Manjarekar, Vighnesh Shenekar, Sumit Yadav Guide: Prof. Prajakta Yadav, "AI- Hedge Fund Managing System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM58465

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Publication Date

3/28/2026

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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