Year: 2025
Type: article
Abstract: This conceptual Summer Internship Project (SIP) provides a comprehensive, non-programming-centric study of Algorithmic Trading and Market Analytics. The research, conducted for a FinTech hardware manufacturer, SBSR Kannam Pvt Ltd, was a conceptual exploration into potentially integrating data-driven analytical tools into their Digital Banking Units. The study establishes that systematic trading is a multi-component system, not a single tool, consisting of a Data Handler, an Alpha Model (Market Analysis), a Risk Management Model, and an Execution Model. Key findings emphasize the probabilistic nature of market analysis, the context-dependency of strategies (Trend Following vs. Mean Reversion), and the paramount importance of risk management (Position Sizing, Stop Losses) and rigorous backtesting (avoiding biases like Overfitting) for long-term survival. The ultimate conclusion is that any integration of such analytics for a non-expert audience must adopt an 'Education First' approach to mitigate risks of misinterpretation and align with the host organization's mission of financial empowerment.
Authors: Nikitha .K, Bhojraj Shewale, Bhawana Sharma
Institution: Amity University Mumbai
Language: English
Subfield: Finance
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4416740430