Kotak
Stockshaala
Overview of Stock Screener Using AI
Level
Beginner
Access
Free for all
Time
4-5 Hours
Learn how AI is changing the way stocks are shortlisted. This course shows you how to frame smart prompts, combine data, and avoid common AI screening traps. Built for investors who want an edge, not shortcuts.
What will you learn?
Understand what a stock screener is, how traditional screeners work, and why AI is changing the way stocks are filtered, analysed, and shortlisted especially in fast-moving markets.
Learn the basics of stock market data such as price (OHLC), volume, indicators, and fundamentals, and how AI interprets this data differently from rule-based screeners.
Get introduced to AI and machine learning concepts relevant to investing, along with clear limitations, risks, and SEBI-aligned compliance reminders for responsible usage.
Master the art of writing clear, structured prompts for AI-based stock screening. Learn to combine prices, indicators, fundamentals, and constraints without vague or misleading queries.
Use global AI tools like ChatGPT, Gemini, and Copilot, along with India-focused platforms such as Screener.in and Tickertape, to generate actionable screening outputs.
Understand how AI can be used for sentiment analysis, news-based screening, and adaptive screening logic while recognising false positives and overfitting risks.
Explore how to backtest AI-generated ideas, optimise screening accuracy, and turn raw outputs into repeatable, usable screening frameworks.
See real Indian market case studies, including AI-based screening of Nifty stocks using rule-based constraints and practical lessons from failures and successes.
By the end of this course, you’ll be able to use AI as a structured screening assistant supporting your decisions with logic, clarity, and discipline, not shortcuts or hype.
FAQs On Stock Screener Using AI
The Stock Screener Using AI course by Kotak Stockshaala teaches how to use AI-powered stock screeners to filter and identify high-probability trade and investment opportunities from thousands of NSE and BSE-listed stocks. The course covers screener logic, AI-assisted filtering, multi-condition criteria building, and integrating screener outputs into a daily trading workflow.
This course is ideal for traders and investors who are manually scanning markets and want to automate stock discovery using AI. It suits anyone from swing traders looking for breakout stocks to long-term investors screening for fundamentally strong stocks who wants a faster, bias-free stock selection process.
The curriculum covers how stock screeners work, types of screening criteria (technical, fundamental, and hybrid), building multi-condition AI filters, using AI to identify momentum and breakout stocks, screening for value and growth stocks, interpreting screener outputs, backtesting screener results, and integrating screener workflows into daily market preparation.
The course is self-paced, moving from screener fundamentals through AI filter construction to a complete daily stock discovery workflow. Learners progress from understanding what makes a good screening condition to building, testing, and refining AI-powered screeners they can use in live Indian equity markets every trading day.
Learners develop skills in building technical and fundamental screening criteria, configuring AI-powered filters, ranking and shortlisting stocks by trade quality, backtesting screener logic, reducing manual scanning effort, and building a consistent daily pre-market stock selection process for NSE and BSE-listed equities.
This course eliminates the most time-consuming part of a trader's workflow, finding stocks worth analyzing. By using AI screeners to surface only the highest-quality setups from thousands of listed stocks, learners save hours of manual effort, reduce selection bias, and improve the consistency of their trade and investment decisions.
A stock screener is a filtering tool that scans thousands of listed stocks based on pre-defined criteria such as price breakouts, volume surges, RSI levels, or revenue growth, and returns only the stocks that match. In Indian equity markets, it helps traders and investors identify opportunities efficiently without manually reviewing every chart or financial statement.
AI-powered stock screeners use machine learning and pattern recognition to detect technical setups, rank stocks by trade quality, and surface emerging trends before they become broadly visible. Unlike fixed rule-based filters, AI screeners adapt to changing market conditions and can identify complex, multi-variable patterns that manual or traditional screening typically misses.
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