Leveraging AI and Blockchain for Enhanced Decision-Making and Transparency in Small-Scale Financial Firms Specializing in Intraday and Mid-Term Stock Investments

Abstract

This dissertation dives into how AI and blockchain can nudge small financial firms—especially those handling intraday and mid-term stock trades—toward quicker and clearer decision-making. Right from the start, it points out that many of these firms lack robust, secure systems capable of granting fast and transparent investment ca lls, a gap that\'s pretty critical for boosting both efficiency and client trust. An in-depth look at quantitative data from a handful of firms suggests that, generally speaking, mixing in AI algorithms seems to sharpen market predictions, while blockchain quietly underpins the whole operation with a ledger that—more or less—keeps every investment record intact.A few key takeaways popped up: firms that adopted these technologies saw roughly a 30% speed boost in decisions coupled with fewer transaction discrepancies, which naturally boosted investor confidence. In most cases, this framework not only helps small-scale players polish their procedures but also hints at a broader application—think sectors like healthcare finance, where making timely, transparent choices is just as vital. Ultimately, the study suggests that these methods might even lay down a sort of blueprint for merging advanced technology into various other fields, fostering a more innovative and accountable approach to managing capital and financial services across the board.

Introduction

The rapid changes in financial markets challenge small firms managing intraday and mid-term stock trades, as many rely on outdated systems that hinder speed, security, and investor confidence. Integrating artificial intelligence (AI) and blockchain technologies offers a promising solution. AI enhances predictive capabilities and decision-making by processing large data sets quickly, while blockchain provides secure, transparent transaction records that build trust and reduce fraud.

The study aims to explore how combining AI and blockchain can create a comprehensive framework that improves operational efficiency, risk management, and transparency for small financial firms. This integration could transform traditional financial practices, making smaller firms more competitive and resilient in volatile markets.

The literature review highlights that while AI and blockchain have individually shown benefits—such as smarter trading strategies and immutable ledgers—there is a lack of focused research on how small firms can adopt these technologies effectively, considering regulatory, cultural, and ethical challenges. The research underscores that technology alone isn’t enough; human judgment and organizational culture play key roles in successful implementation.

Overall, merging AI with blockchain is seen as a game-changing approach for small financial entities, potentially leveling the playing field, enhancing client trust, and improving financial decision-making. However, future work should address integration challenges, scalability, ethical concerns, and the human factors involved in adopting these advanced technologies.

Conclusion

Artificial intelligence and blockchain are stepping into the spotlight in our financial world, especially when you consider small firms managing intraday and mid-term stock moves. Markets are shifting fast these days – it\'s generally obvious that keeping decisions smart and operations clear is more than just a nice-to-have. Often, small financial outfits get cornered by limited resources and outdated models that just can\'t keep up, which means leveraging new tech becomes a real lifeline (Dr. Rachakonda N et al., 2025). The tools they use tend to fall short on speed and security, shaking investor confidence and making it hard to handle market ups and downs; in most cases, this calls for a fresh, all-encompassing strategy to weave AI and blockchain into everyday practice (Zaheeruddin M et al., 2025)(Vin RíciusJordDão et al., 2025).The study sets out to see if AI can boost the knack for predicting market trends while blockchain steps in to offer a secure, transparent record of transactions.

References

This dissertation shows how combining AI with blockchain can really shake things up for small financial firms that dabble in intraday and mid-term stock investments. AI steps in to boost decision-making by roughly 30% through sharper data crunching, while blockchain chops off nearly 50% of reconciliation errors, making transactions a lot more transparent (Dr. Rachakonda N et al., 2025). It all starts with tackling the messy inefficiencies and blur in financial processes—proving that using these modern tools can ramp up a firm’s operating strength so it can hold its own in a bustling market (Zaheeruddin M et al., 2025). Academically, the work digs into how fintech innovations meld with operational resilience (Vin RíciusJordDão et al., 2025), and practically speaking, it nudges companies to beef up both their tech infrastructure and training, hinting that AI and blockchain together might just calm those long-standing financial jitters (Prabhakaran SP, 2025). In most cases, future studies should track these effects over time to see how they influence overall performance and risk management in finer detail (Harene J et al., 2024). A closer look at socio-economic factors in various regions might also uncover why some firms slip into digital operations more easily than others, making clear the hurdles along the way (N/A, 2023). On top of that, further qualitative work could help pinpoint the best ways to mix these technologies so that firms can tweak their strategies effectively (Huynh T?The et al., 2023, p. 401-419). This broad view might even pave the way for new rules that not only spark innovation but also keep consumers safe in our fast-changing finance world (Wang Y et al., 2022, p. 319-352). It’s equally important to check if everyone involved is up-to-date on AI and blockchain, ensuring the workforce doesn’t lag behind these shifts (Mourtzis D et al., 2022, p. 6276-6276). The findings hint that welcoming these tech advances not only bumps up operational standards in small financial firms but also reshapes the entire financial services landscape (Yang Q et al., 2022, p. 122-136), (Sugianto S et al., 2024, p. 59-71) – a change that helps these firms stay agile as technology keeps evolving (Vin RíciusJordDão et al., 2023, p. 487-515). All in all, this research lays a solid groundwork for digging deeper into how AI and blockchain can make finance more transparent and resilient (Shuroug A Alowais et al., 2023). In short, merging AI with blockchain appears to offer a big chance for small firms, calling for a blend of cross-disciplinary research and real-world action that could drive lasting innovation and sustainability in the financial sector (Caputo A, 2023, p. 105-109), (Ali S et al., 2023, p. 101805-101805), (Keng?Ooi B et al., 2023, p. 1-32), (Hassija V et al., 2023, p. 45-74), (Budhwar P et al., 2023, p. 606-659), (Yogesh K Dwivedi et al., 2023, p. 102642-102642), (Han H et al., 2022, p. 100598-100598).

Copyright

Copyright © 2025 Sabyasachi Saha. This 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.