Univest Screeners Review: Fundamental and Technical Filters Explained

Understanding which filters to use in a stock screener is as important as having access to one. A screener with 100+ filters is only useful if an investor knows what each filter measures and when it is relevant to their investment criteria. This Univest stock research review of the screener filters explains the core fundamental and technical parameters available on the platform and what each one tells investors about a stock.

The Univest stock research review covers the most frequently used fundamental filters, the key technical filters, how to combine them effectively, and where filter-based screening has inherent limitations.

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Core Fundamental Filters Explained

The Univest stock research review finds the following fundamental filters among the most used by investors on the platform:

PE Ratio: The price-to-earnings ratio measures how much investors pay per rupee of earnings. A stock with a PE of 15 in a sector where peers average 25 may be undervalued. The Univest stock research review finds PE filtering most useful when combined with a sector comparison rather than applied as an absolute threshold across all stocks.

Debt-to-Equity: This ratio measures a company's financial leverage. The Univest stock research review finds a debt-to-equity below 1 generally preferred by conservative investors, though capital-intensive sectors like infrastructure and banking require sector-specific interpretation rather than a blanket threshold.

Return on Equity: ROE measures how efficiently a company generates profit from shareholder equity. The Univest stock research review finds filtering for ROE above 15% a common starting point for identifying consistently profitable businesses, though the figure should be assessed alongside leverage to avoid misidentifying highly debt-funded returns as operational efficiency.

Promoter Holding: High and stable promoter holding is generally interpreted as confidence in the business by those who know it best. The Univest stock research review finds promoter pledging data alongside promoter holding percentage an important complementary data point, since pledged promoter shares represent a risk factor that holding percentage alone does not reveal.

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Core Technical Filters Explained

These technical filters are most commonly applied by active investors on the platform:

RSI (Relative Strength Index): RSI measures momentum on a scale of 0 to 100. Values below 30 indicate a stock may be oversold; above 70 suggests it may be overbought. The Univest stock research review finds RSI most useful as a timing filter when combined with fundamental screening rather than as a standalone buy or sell signal.

Moving Averages: The 50-day and 200-day simple moving averages are widely tracked levels. Stocks trading above their 200-day moving average are generally in a long-term uptrend. The Univest stock research review finds the moving average filters useful for trend confirmation, particularly when screened alongside improving earnings fundamentals.

Volume Momentum: Volume higher than the stock's average over recent sessions often precedes or accompanies significant price moves. The Univest stock research review finds volume screening most useful for identifying potential breakout setups or distribution phases, where price movement is accompanied by unusually high participation.

Combining Fundamental and Technical Filters

The Univest stock research review finds the most effective screening approach combines filters from both categories. A screen for fundamentally strong stocks that are also setting up technically reduces the shortlist to a smaller, higher-quality group of candidates that meet both investment quality and timing criteria simultaneously.

An example from this Univest stock research review: filtering for stocks with PE below the sector average, ROE above 15%, debt-to-equity below 1, and RSI between 40 and 60 (neither overbought nor oversold) produces a list of stocks that are both attractively priced and not in overbought technical territory. That combination is meaningfully harder to find manually than through a screener.

Screener Limitations to Understand

The Univest stock research review is clear that filters are backward-looking by nature. A low PE ratio reflects the current price relative to past earnings, not future earnings potential. A stock can pass all fundamental filters and still underperform if the business faces challenges the historical data does not reflect.

Technical filters similarly reflect historical price behavior. All screening outputs are starting points for further research, not conclusions. The SEBI-registered analyst layer in Univest Pro adds the forward-looking judgment that filters alone cannot provide, which is why the Univest stock research review finds the screener and analyst calls most valuable when used together.

Conclusion

The Univest stock research review of screener filters finds a comprehensive filter set that covers the core parameters most retail investors need for both fundamental and technical shortlisting. Understanding what each filter measures is the prerequisite for using it well. Start with one or two fundamental filters and one technical filter, evaluate the shortlists they produce, and build complexity progressively. The Univest stock research review recommends treating every screener output as the beginning of research rather than the end of it.

Frequently Asked Questions

What fundamental filters are available in the Univest screener?

Ans. The Univest stock research review finds fundamental filters include PE ratio, price-to-book, debt-to-equity, return on equity, return on capital employed, revenue and PAT growth rates, dividend yield, and promoter holding percentage with pledging data. These cover the core metrics used in basic to intermediate fundamental analysis for Indian equities.

What technical filters does the Univest screener offer?

Ans. The Univest stock research review finds technical filters include RSI, 50-day and 200-day moving average positioning, price versus moving average, volume versus average, and momentum indicators. These cover the standard technical parameters most retail investors use for trend confirmation and breakout identification.

How should I combine fundamental and technical filters?

Ans. The Univest stock research review recommends starting with fundamental filters to identify investment-quality stocks and adding technical filters to refine timing. For example, screening for low PE and high ROE identifies quality candidates, then adding RSI between 40 and 60 filters for stocks not in overbought territory. Start simple and add filters progressively rather than applying all 100+ simultaneously.

Is a low PE ratio always a buy signal?

Ans. No. The Univest stock research review finds PE ratio must be evaluated in sector context. A PE of 10 might be normal in banking but low in consumer staples. Low PE can also reflect structural business problems rather than undervaluation. Combining PE with ROE, debt, and revenue growth filters before treating a low PE as a standalone investment signal.

What does RSI tell investors in the Univest screener?

Ans. RSI below 30 suggests a stock may be oversold and RSI above 70 suggests it may be overbought. The Univest stock research review finds RSI most useful as a timing supplement to fundamental screening rather than a standalone signal. A fundamentally strong stock with RSI between 40 and 60 may represent a better risk-reward entry than the same stock at RSI 75.

Are screener signals the same as SEBI research recommendations?

Ans. No. The Univest stock research review finds screener composite signals are AI-generated filter outputs, not regulated research recommendations. SEBI-registered analyst calls with entry price, stop-loss, and target are available under Univest Pro and published under Research Analyst registration INH000013776. The two serve different purposes and are most effective when used together.

Can the Univest screener help identify stocks across market caps?

Ans. Yes. The Univest stock research review confirms the screener covers large, mid, and small-cap stocks across 5,000+ NSE and BSE listings. Market cap is available as a filter parameter, allowing investors to focus screening on a specific size segment or screen across the full universe simultaneously depending on their investment mandate.

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