Trading and Investment Screeners for sharper insights
Browse category-aware screeners for stocks, mutual funds, ETFs, and research workflows. Each page is designed to narrow a large universe into a cleaner shortlist while still leaving room for your own judgment and second-pass analysis.
Category
29 screeners found
Shankar Nath's Growth At Reasonable Price Screener
A disciplined stock screener proposed by YouTuber Shankar Nath - built to surface companies showing healthy growth momentum without drifting too far from reasonable valuations.
Shankar Nath's Trending Value Screener
A blended momentum-and-value screener designed to surface fundamentally strong stocks that are already attracting market interest.
Best Dividend Stocks Screener
A dividend-focused stock screener built to help income-oriented investors shortlist companies that already qualify under a repeatable yield-first framework.
Nifty Shop Strategy Screener
A Nifty 50 pullback screener that surfaces stocks trading below their 20-day moving average and ranks them by how far they sit under that reference line.
Midcap Shop Strategy Screener
A Nifty Midcap 50 pullback screener that surfaces stocks trading below their 20-day moving average and ranks them by how far they sit under that reference line.
Junior Shop Strategy Screener
A Nifty Next 50 pullback screener that applies the time-tested Shop logic to the Nifty Junior universe and ranks stocks trading below their 20-day moving average by how far they sit under that line.
Smallcap Shop Strategy Screener
A Nifty Smallcap 50 pullback screener that surfaces stocks trading below their 20-day moving average and ranks them by how far they sit under that reference line.
Momentum Shop Strategy Screener
A Nifty500 Momentum 50 pullback screener that applies the Shop mean-reversion logic to high-momentum stocks and ranks qualifying names by how far they trade below the 20-day moving average.
ETF Shop Strategy Screener
A mean-reversion ETF screener for the NSE ETF universe that ranks liquid ETFs by how close they are to their 52-week low.
Mark Minervini Composite Screener
A multi-factor momentum screener that scans the Nifty 500 for Minervini-style trend-template candidates and surfaces the strongest setups in one ranked workspace.
Index Mutual Fund Screener
A bucket-based index mutual fund screener that ranks passive funds separately across four index families using expense ratio, tracking error, and AUM strength.
Mutual Fund Overlap Checker
Compare two mutual funds by portfolio overlap, common stocks, overlap percentage, and unique holdings to spot duplicate exposure in your portfolio.
Choosing the Right Mutual Fund Category
A horizon-based selector that helps investors narrow which mutual fund categories are most suitable before they compare actual schemes.
Best Liquid Funds Screener
A rules-based liquid-fund screener that ranks large, established schemes using rolling return quality, cost, risk-adjusted performance, and track-record depth.
Most Liquid ETFs
A daily ETF liquidity screener that groups the NSE ETF universe by benchmark and keeps the top three most liquid ETFs in each bucket, alongside 52-week range, 30-day change, volume, and turnover context.
Debt Fund Screener
A category-aware debt fund screener for India that keeps debt buckets separate and swaps the score model based on the job each category is meant to do.
Large Cap Fund Screener
A large-cap mutual fund screener for India that ranks established schemes using cross-cycle consistency, downside control, return quality, and how cleanly the portfolio still behaves like a true large-cap allocation.
Midcap Fund Screener
A cycle-aware midcap mutual fund screener for India that filters out smaller schemes and ranks the remaining universe using capture ratios, drawdown behavior, benchmark-relative consistency, and portfolio discipline.
Smallcap Fund Screener
A cycle-aware smallcap mutual fund screener for India that filters out smaller schemes and ranks the remaining universe using capture ratios, drawdown behavior, benchmark-relative consistency, and portfolio discipline.
Flexicap Fund Screener
A flexicap mutual fund screener for India that ranks larger, researchable schemes using capture behavior, downside resilience, return quality, and how credibly the portfolio uses its large-, mid-, and small-cap mandate.
Large & Mid Cap Fund Screener
A large-and-mid-cap mutual fund screener for India that ranks researchable schemes using market-cycle behavior, downside resilience, return quality, and discipline around balancing both mandatory sleeves.
Multicap Fund Screener
A multicap mutual fund screener for India that ranks larger, researchable schemes using downside resilience, return quality, and discipline around the multicap 25/25/25 structure.
Arbitrage Fund Screener
An arbitrage mutual fund screener for India that ranks larger schemes using consistency, drawdown control, cost, and whether the fund still behaves like a low-volatility arbitrage allocation.
Balanced Advantage Fund Screener
A dynamic asset allocation / balanced advantage fund screener for India that ranks larger schemes using 3-year consistency, drawdown behavior, return quality, and whether the current allocation still looks meaningfully balanced.
Balanced Hybrid Fund Screener
A balanced hybrid mutual fund screener for India that ranks larger schemes using 3-year consistency, drawdown behavior, return quality, and whether the current allocation still looks like a balanced hybrid rather than a drifted profile.
Conservative Hybrid Fund Screener
A conservative hybrid mutual fund screener for India that ranks larger schemes using 3-year consistency, drawdown behavior, return quality, and whether the fund still behaves like a debt-led conservative hybrid.
Equity Savings Fund Screener
An equity savings mutual fund screener for India that ranks larger schemes using 3-year consistency, drawdown behavior, return quality, and whether the allocation still looks appropriate for an equity-savings role.
Multi Asset Fund Screener
A multi asset allocation fund screener for India that ranks larger, researchable schemes using 3-year consistency, downside behavior, return quality, and a category-specific allocation discipline layer built around equity-sleeve balance and debt-profile stability.
Aggressive Hybrid Fund Screener
An aggressive hybrid mutual fund screener for India that ranks larger schemes using 3-year consistency, drawdown behavior, return quality, and whether the fund still carries a disciplined equity-heavy hybrid posture.
About this section
Screeners
Build a repeatable entry point for narrowing the market into clean, researchable shortlists.
What makes this section useful
The screeners are meant to shorten the first stage of research. They rank and group ideas so you can spend time where it matters rather than starting from a blank slate.
Different pages use different models because different jobs need different filters. A liquid fund screener should not behave like a momentum stock screener, and a debt-fund shortlist should not be ranked the same way as an index fund bucket.
These pages are best treated as a research workflow: shortlist first, then verify portfolio fit, risk, costs, liquidity, and category suitability yourself.
Best suited for
Investors who want to narrow the market into a researchable shortlist before making deeper decisions.
People comparing mutual funds, ETFs, or rule-based stock ideas through a repeatable framework instead of one-off tips.
Visitors who care about process, category fit, and methodology notes as much as the final ranking itself.
Quick FAQ
Does a higher-ranked fund or stock automatically mean it is the best choice?
No. A higher rank only means it scored well under that page's framework. Suitability still depends on your horizon, risk tolerance, tax position, portfolio overlap, and what job the holding is meant to do.
Why are some screeners bucketed by category instead of showing one grand list?
Because combining unlike categories often creates false comparisons. A debt fund, small-cap fund, and index fund each solve different problems and should not be judged by identical rules.
What is the best way to use these screeners?
Use them to narrow choices, then read the methodology, verify the latest data, and do a second-pass qualitative review before making any allocation decision.
