ISBIS India IG - AlgoFabric: A Tool for a Quantitative Approach to Financial Investment and Trading

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Speaker: Dr. Aniruddha Pant, CEO of Algoanalytics

Talk Abstract
Financial markets generate a deluge of disparate data, from real-time price feeds to unstructured global news. This creates a significant challenge for investors seeking to build and execute cohesive strategies that perform across different time horizons. Traditional approaches often isolate quantitative analysis from qualitative insights, leading to missed opportunities and inefficient risk management.

This talk introduces AlgoFabric, an integrated platform designed to bridge this gap. We demonstrate how AlgoFabric unifies three core pillars of capital markets: 
1) Time Series Analysis for market trend and volatility forecasting, 
2) Classical Machine Learning for building robust predictive models, 
3) Natural Language Processing (NLP), including Generative AI, for extracting actionable sentiment and thematic insights from financial news, SEC filings, and other textual data.

We will present case studies showing how this unified approach allows for the systematic creation, backtesting, and deployment of both short-term trading algorithms and long-term, fundamentally driven investment philosophies. Attendees will learn how a single "fabric" can connect diverse data sources to coherent, data-driven investment decisions.