PredictivePick is a quantitative equity research and market-intelligence
platform focused on systematic analysis of publicly available financial and
market data. We apply statistical models to price, volume and reported
fundamentals, and publish the results in two places:
The PredictivePick app:
daily model scores, momentum signals, top picks and risk rankings for every
Nifty 100 stock.
This research site: dated notes on Indian and US listed companies,
sectors and markets, each stating the prices, dates and figures it is based on.
Who We Are
We are a focused team of 10–15 professionals, combining expertise in:
Quantitative Financial Analysis
Machine Learning & Statistical Modelling
Data Science & Market Research
Software Engineering & Infrastructure
With over 8 years of experience in stock market research, algorithmic
modelling and applied machine learning, our team is committed to
systematic, data-driven equity research.
How Our Research Works
Every model we build is based on:
Historical price, volume and financial data
Statistical probability and pattern recognition
Back-tested, research-driven methods
Automated data pipelines that refresh every trading day
Our model scores are statistical estimates, not forecasts or recommendations.
We do not offer investment advice: our research is meant to support independent
analysis and informed decision-making. See our
disclaimer.
Our Principles
Evidence over hype
Systematic over discretionary
Transparent figures: every note states the data and dates behind it
Insight over noise
Our Vision
To become a trusted source of quantitative equity research, giving investors,
analysts and traders a systematic, data-driven view of the markets they follow.
We’re not here to follow the market. We’re here to understand it,
and help others do the same.
We use cookies to run this site. Google Analytics runs on every visit, and Microsoft Clarity on
our home page, so we can understand how readers use our research and improve it. We never sell
this data.
You can block analytics cookies in your browser settings or with Google's
opt-out add-on.
See our Privacy Policy and Cookie Policy.