Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6, Issue 6 (November-December 2025) Submit your research before last 3 days of December to publish your research paper in the issue of November-December.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 6
November-December 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Pune City Retail Investors' Familiarity With Algorithmic Trading: A Survey in Light of India’s 2025 SEBI Framework

Author(s) Dr. Amit Vitthal Gogawale
Country India
Abstract The transition of algorithmic trading from the institutional domain to widespread retail access in India is underpinned by the regulatory framework set forth by SEBI in 2025. This study quantifies the familiarity of retail investors in Pune with algorithmic trading using a standardized cross-sectional survey method (N = 213). We developed a five-layered instrument to assess familiarity, encompassing the concepts and constructs related to AT, regulatory knowledge, operational knowledge, risk awareness, and information received from media/messaging sources. Our results provide a 0–100 index score on which retail investors in Pune can be said to have a moderate to low familiarity with the algorithmic trading concept (58.46/100). Retail investors in Pune are not totally aware of the safety and soundness rules governing the new algorithmic trading access methods mandated by SEBI. We find significant differences in familiarity based on who is using the newer API access method to reach the trading platform (8.1 points more familiar); and we find a few significant differences in familiarity based on whom you might be asking in the retail investor space (IT professionals being more familiar than others). Overall, our findings suggest familiarity with algorithmic trading among Pune's retail investors is somewhat uneven and modest at best. The study's practical implications suggest that we can nudge most broker-dealer firms into or near compliance with the help of several nudges employed where most retail investors interact with their brokerage firms—inside the broker-dealer apps. This is what much of the study is about. It is about nudging these firms to conditionally become "by design" compliant with the way established law and regulation (SR, R, and DP) operate. It's about hoeing the compliance pathway with several types of nudges.
Keywords algorithmic trading, retail investors, Pune City, awareness index, APIs, SEBI 2025 framework, regulatory knowledge, financial literacy, cross-sectional survey, India
Published In Volume 6, Issue 5, September-October 2025
Published On 2025-10-12
DOI https://doi.org/10.63363/aijfr.2025.v06i05.1588
Short DOI https://doi.org/g96fwz
View / Download PDF File

Share this



E-ISSN 3048-7641
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

AIJFR DOI prefix is
10.63363/aijfr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AIJFR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-79-39-59 editor@aijfr.com