Best AI Stock Screener India 2026 (Free)

What You'll Learn

• How the five platforms differ in filters, queries, scores, scans and alerts.
• Why the phrase AI stock screener does not prove prediction, accuracy or suitability.
• How to build a fundamental or technical shortlist with explicit rules and dates.
• How to verify a screen result against filings, liquidity, risk and investor suitability.

What Is an AI Stock Screener?

An AI stock screener is usually presented as a tool that helps an investor narrow a large stock universe by using filters, natural-language prompts, scores, queries or pre-built scans. The label can describe the interface rather than a proven forecasting method. A result still needs to be checked against company filings, exchange information, valuation assumptions and the investor's own risk limits.

The five platforms covered here do not present one identical product. Tickertape's official equity screener displays filter-led research for Indian stocks. Screener.in describes itself as a stock analysis and screening tool for investors in India. Trendlyne describes screeners, scores, alerts and custom parameters. StockEdge lists ready scans and custom scans. Chartink shows technical and fundamental scanner workflows, including a Magic Filters prompt area.

That difference changes how the result should be used. A filter can find companies that meet a condition. A score can rank or group observations according to a provider's method. An alert can notify a user that a condition changed. None of those outputs, by themselves, proves that a share will rise or that a company suits a particular investor.

For a separate view of how to assess a financial claim before acting on it, see this evidence and timing guide. The same habit applies to a screen: identify the source, date, definition and missing information before drawing a conclusion.

How Should You Compare the Five Platforms?

Compare platforms by the job you want them to perform rather than by a single winner label. A long-term investor may want transparent financial queries and clean company records. A technical trader may want indicator conditions, timeframes and alerts. A research team may want broad parameters, saved screens, notes or export options.

The official pages support different descriptions. Tickertape shows market-cap, PE ratio, returns, ROE and PB ratio filters. Screener.in focuses on stock analysis and screening. Trendlyne states that its screeners cover more than 1,000 parameters across financials, technicals and shareholding and allow custom parameters. StockEdge groups scans across price, volume, technical, fundamental, score, candlestick, futures and options categories. Chartink offers technical and fundamental conditions plus scan and alert controls.

These descriptions are feature evidence, not a performance league table. The best platform for one workflow may be inconvenient for another. Access tiers, data freshness, export permissions, saved-screen limits and alert terms can change. Confirm current access on the provider's own page before paying or relying on a feature.

What Does Tickertape Offer?

Tickertape's official equity screener presents a filter-based starting point for Indian stocks. The page exposes Stock Universe, Sector, Market Cap, Close Price, PE Ratio, 1M Return, 1D Return, Return on Equity and PB Ratio filters. A user can customise filters, save a screen and add a note describing the reason for creating it.

This setup suits a question such as: which companies in a chosen universe meet a stated valuation and profitability condition? The user can specify the universe and thresholds, then inspect the resulting list. The screen does not explain whether the company has durable growth, clean accounting, adequate liquidity or a risk profile that fits the user.

Do not treat the displayed result count or a live metric as a permanent fact. The page's stock list and values update. A saved screen should record the date, filter settings, universe, currency, units and any exclusions. If the question is about a past date, a live result is not a historical answer.

Tickertape's page does not by itself establish that its screener predicts returns or uses an AI model to make a recommendation. It is safer to describe the visible functionality as filter-led stock research unless the provider publishes a more specific technical explanation.

For an independent check of model and product claims, read this source-first comparison guide. Comparing a product description with the actual workflow is more useful than repeating a marketing label.

What Does Screener.in Offer?

Screener.in's official homepage describes it as a stock analysis and screening tool for investors in India. The platform is associated with query-led fundamental research. That makes it useful when the investor wants to state a condition in a form that can be read, reviewed and changed instead of relying only on a visual score.

A query should identify the period and definition for every important condition. Revenue growth, profit growth, return ratios, debt, valuation multiples and cash flow can refer to different periods or accounting bases. A screen is easier to audit when the user can explain the formula and the source data behind each result.

Query transparency does not remove the need for verification. Check the company's latest annual report, exchange filings, notes to accounts, shareholding data and material announcements. A ratio can be affected by one-off items, a changing share count, a recent acquisition, a business-cycle peak or a corporate action.

Screener.in's homepage also states that data is provided by C-MOTS Internet Technologies Pvt Ltd. The article does not independently audit that data feed. Users should confirm the data date and compare decision-relevant figures with the issuer's filing or exchange disclosure.

The product should not be called AI-powered merely because it appears in a search for AI stock screeners. Its official description supports stock analysis and screening. The relevant strength is query transparency, not a guaranteed forecast.

What Does Trendlyne Offer?

Trendlyne's official homepage describes a broad analytics workflow. It says its stock screeners cover more than 1,000 parameters across financials, technicals, shareholding and other data, and that users can create custom screeners and parameters. It also describes DVM scores for Durability, Valuation and Momentum, historical score movement, Stock X-Ray SWOT and alerts.

This breadth can help a user form a repeatable research process. A screen might combine financial measures with technical or ownership observations, while a watchlist can track a change over time. The user still needs to know how each parameter is defined, which date is used and whether the value is reported, calculated or estimated.

Scores need special caution. A provider's score compresses several observations into one label or number. Read the components, weighting, lookback period and handling of missing data. A backtested score is a historical result under a stated method. It is not proof of future performance and should not be described as a buy signal.

Trendlyne also describes Forecaster features and research reports. Those features belong to a wider research workflow than screening alone. Keep a screen result, an analyst view, a price target and a personal investment decision in separate categories.

For a related discussion of evidence, permissions and monitoring, see this controls and evidence guide. The principle is the same: know what a system did, what it did not check and what remains for a human reviewer.

What Does StockEdge Offer?

StockEdge's official scan groups page organises scans into price, volume and delivery, technical, fundamental, score, candlestick and futures and options categories. Its custom-scan FAQ says a user can write a query or add existing Ready Scans to build a custom scan. This makes it suitable for users who want ready-made conditions as well as a combined workflow.

The categories show the range of questions a scan can answer. A price or volume scan can identify a market event. A technical scan can test an indicator condition. A fundamental scan can group companies by profitability, turnover, solvency, valuation, dividends, efficiency or shareholding. A score scan reflects the provider's own methodology and needs separate interpretation.

StockEdge also lists custom and combination scans. When combining conditions, write down the logic before looking at the result. Note whether the conditions are joined with AND or OR, which universe is searched, when each field was refreshed and whether the scan uses a daily, weekly or intraday observation.

A scan is not a substitute for a research report or a suitability assessment. Before acting on a result, inspect the company filing, debt, cash flow, promoter or insider disclosures, liquidity and recent corporate actions. The provider's official page also contains regulatory details for its research-analyst business. That information does not convert a generic screen into personalised advice for every user.

What Does Chartink Offer?

Chartink's official screener page shows a technical and fundamental scanning interface. It includes a Magic Filters prompt area, scan controls, save options, backtest results and create-alert controls. The example prompt combines a 15-minute SuperTrend and MACD condition with an EPS condition, showing how a natural-language starting point may be translated into rules.

A prompt is only a starting point. Inspect the actual conditions that the tool creates. Check the indicator formula, candle interval, lookback, price field, market segment, session treatment and signal timing. A user should know whether a condition is tested at the close, during a candle or after the event is already visible.

Chartink's page says price data is sourced from an NSE feed and financial data is sourced from CMOTS InfoTech. It also says real-time data for the scanner is available in a premium subscription and warns that its tools are for research purposes. These statements should be read together. A delayed or differently scoped field can change an intraday result.

Backtest results need the same discipline. Check whether the test includes transaction costs, slippage, liquidity constraints, corporate actions, survivorship bias and a realistic execution point. A displayed historical result is not a promise that a user can obtain the same outcome.

For a separate guide to comparing tools without overclaiming, see this feature comparison article. The platform with more controls is not automatically the right tool for a particular decision.

How to Build a Fundamental Screen

A fundamental screen starts with a clear question. The question may be about profitability, balance-sheet strength, valuation, growth, cash generation or a combination. Avoid starting with a list of stocks and then changing the conditions until a preferred name appears.

Define the universe first. State whether the screen covers all listed companies, a market-cap group, an industry, an index or a personal watchlist. Then define the period and accounting basis. Quarterly, trailing-twelve-month and annual figures answer different questions. A ratio based on consolidated statements may not be comparable with one based on standalone statements.

Choose thresholds that can be explained. A low PE ratio can reflect weak earnings quality, debt, cyclicality or a falling business. A high ROE can be affected by a small equity base. Sales growth without cash conversion may not support the same conclusion as sales growth with stable operating cash flow.

Use a two-stage process. The first stage produces a shortlist. The second stage reads the source documents and rejects results affected by one-off items, stale data, poor liquidity, governance concerns or an unsuitable risk profile. Keep the original screen settings and the later reasons for rejection.

The screen should produce a research queue, not a final answer. A stock can pass every selected condition and still fail a business-quality review. If the screen uses a provider's score, store the components and date rather than only the score label.

How Do You Build a Technical Screen?

A technical screen needs an exact market and timeframe. State the exchange, segment, price field, candle interval, indicator formula, lookback and signal timing. “Momentum stock” is not a reproducible condition until those choices are written down.

Separate an observation from an action. A price crossing a moving average is an observation. Buying the stock is an action that also depends on position size, risk, liquidity, costs, execution and suitability. A screen can identify an event without deciding what to do about it.

Check data treatment. Intraday signals can change before a candle closes. A daily signal can look different after a corporate action adjustment. A historical chart can omit a delisted company or use a data series that is not available in real time. Write down whether the test is close-based, intrabar or end-of-day.

Backtesting should use a clean information boundary. Do not use a later price, revised financial value or future universe membership to construct an earlier decision. Include realistic costs and reject any result that cannot be reproduced from dated inputs.

When a natural-language prompt creates the scan, inspect the generated rule line by line. The wording may be interpreted differently from the user's intention. The screen is ready for review only when the actual condition, units and timeframe are understood.

How to Validate a Screener Result

Validation begins with the result's date. Record when the screen ran, when each field was updated and whether the result used a live, delayed or end-of-day feed. A current list cannot answer a historical question unless the provider supplies a dated historical universe and data set.

Next inspect the company source. Read the latest filing, earnings release, investor presentation or exchange disclosure that supports the claim. Confirm the period, units, consolidated or standalone basis, share count, debt definition and any unusual item that can affect the ratio.

Then check the market mechanics. A result with low traded value may be difficult to enter or exit. Corporate actions can change the displayed price and share count. A screen can return duplicate listings, suspended securities, newly listed companies or a company whose business has changed since the selected period.

Finally test the decision against suitability. SEBI Investor distinguishes research analysts from investment advisers and describes investment advisers as professionals who provide personalised guidance based on goals and risk tolerance. A public screen does not know the reader's income, liabilities, time horizon, emergency reserve or loss capacity.

For a checklist on verifying public claims and eligibility records, read this supporting-records guide. The subject is different, but the verification step is the same.

How Should You Compare Free and Paid Access?

“Free” can refer to a free account, a limited data view, a free ready-made screen or a trial period. It does not necessarily mean that every filter, export, alert, backtest or real-time field is free. The official pages show different access signals, and some features may require registration or a premium plan.

Compare the actual task cost. If the aim is one end-of-day fundamental shortlist, a free query or filter may be enough. If the aim is intraday alerts, repeated scans, large exports or historical testing, the access tier and data timing may matter more than the number of listed features.

Do not pay for a service because a result sounds like a prediction. Ask what the subscription adds, how the data is sourced, what refresh rate applies, whether the feature has a usage limit and whether the result can be reproduced. Keep the provider's terms and the date of the check.

The right comparison is between workflow requirements and verified access. A platform can be useful without being free, and a free screen can be useful without being sufficient for a material investment decision.

For a broader guide to comparing financial platforms and evidence, read this market-research example. It reinforces the difference between a reported development and a decision that needs separate analysis.

The first mistake is changing the screen after seeing the result. This creates a preferred-name bias. Write the question and conditions before opening the list, and record any later change as a new screen.

The second mistake is treating a single ratio as a complete thesis. PE, PB, ROE, sales growth, debt or a technical crossover can be useful inputs. None explains the full business, balance sheet, management, industry cycle or valuation risk.

The third mistake is ignoring missing or stale data. A blank field may be excluded, treated as zero or handled differently by a provider. A displayed value may refer to a different period from the one assumed by the user.

The fourth mistake is mixing a score, a forecast and a recommendation. A DVM score, a forecaster view, a scan result and a research report have different meanings. Label each one correctly and do not repeat a provider's output as an independent conclusion.

The fifth mistake is using backtests without a clean information boundary. A result can look strong if it uses future knowledge, ignores delisted names, omits costs or assumes an execution price that was not available.

What Should Investors Do After Screening?

After a screen, create a shortlist with reasons for inclusion and rejection. Read the latest company filing, verify the data fields, examine debt and cash flow, check material announcements and assess liquidity. If the thesis depends on a forecast, state whose forecast it is and which assumptions drive it.

Use a watchlist to observe whether the original condition persists. An alert should prompt a fresh review, not an automatic trade. When the condition changes, record whether the reason was a price move, new financial data, a corporate action, a revised estimate or a change in the business.

Keep personal suitability separate from tool comparison. A screen cannot see a reader's objectives, obligations, time horizon or risk tolerance. SEBI Investor's distinction between research analysis and personalised investment advice is a useful boundary for public educational content.

The practical answer to the question “which is the best AI stock screener in India in 2026?” is conditional. Choose the platform whose verified workflow matches the question, then verify every important result with primary company and exchange sources. Do not choose a tool because its label implies certainty.

Review the outage and access-check guide when a platform stops responding or shows incomplete data. A service problem, a data delay and a negative investment signal are different events.

A screen becomes useful when it narrows work without hiding uncertainty. The output is a starting point for analysis, not a substitute for analysis.