Trendlyne Alternatives for Fundamental and Institutional Research in India
Trendlyne is a broad Indian markets platform with screeners, DVM scores, and broker estimates. Here is where it fits, and India-focused alternatives for deeper research.
Trendlyne is a broad, India-first markets platform: stock screeners, DVM scores, broker consensus estimates, alerts, backtesting, and AI earnings-call summaries in one place, on the web and in mobile apps. If you are an India-focused fundamental investor who wants deeper, source-linked, point-in-time research than a fast overview tool is designed to give, the alternative worth knowing is a purpose-built research platform like Altys Labs, currently in private preview for professional users.
This piece is not a takedown. Trendlyne is a genuinely capable product that a lot of Indian investors rely on every day. The goal here is to describe honestly what it is good at, where a heavier research workflow starts to want something different, and how a focused alternative approaches those needs.
What Trendlyne is and who it serves
Trendlyne covers the Indian market (NSE and BSE), with Nifty and Sensex sections, and adds some US market data and global indices. Its reach is wide. The screener supports thousands of parameters, from around 1,000 free up to 3,000-plus on premium, with prebuilt strategies and real-time updates during market hours on higher tiers. On top of screening it layers several signature features:
- DVM scores that summarize a stock on Durability, Valuation, and Momentum.
- A Forecaster dashboard that aggregates consensus estimates from dozens of brokerages, showing price targets and projections for revenue, profit, EPS, dividends and more, plus analyst accuracy tracking.
- SWOT summaries across financials, technicals, and management quality.
- Alerts: screener alerts, AlphaAlerts on price moves and corporate actions, insider and SAST disclosure alerts, and Superstar alerts that track well-known investors’ portfolio changes.
- Backtesting of screener strategies, with the sample count and frequency scaling by plan.
- Broker portfolio sync from Indian brokers such as Zerodha, Angel One, Motilal Oswal, and others, plus Excel import.
- AI summaries of earnings-call transcripts for faster company updates.
Pricing is public and tiered: an India-focused GuruQ plan that starts around 310 rupees per month, a StratQ plan around 5,900 rupees per year aimed at more active traders who want higher-frequency alerts and more backtests, and global Pro tiers. That accessibility is part of the appeal. For a wide swath of investors, active traders, and serious hobbyists, Trendlyne packs a great deal into an affordable, easy-to-scan interface.
Trendlyne is also used for mutual-fund research, with fund screeners, portfolio and holdings views, and comparison tools alongside its equity coverage, so many users lean on it for both stocks and funds in one place. If mutual funds are your main focus, it is worth weighing against other options, and our roundup of the best mutual-fund research tools in India surveys that landscape.
Where Trendlyne is strong
Give credit where it is due. Trendlyne’s strength is coverage and speed of read. If you want to size up a stock in a minute, the DVM score, SWOT card, and Forecaster consensus give you a fast, structured first impression. If you run screens across the whole market and want alerts when conditions trigger, that is squarely what the platform is built for. The broker-estimate aggregation is real work done for you: pulling scattered analyst numbers into one consensus view, with accuracy context, is genuinely useful. And syncing your actual holdings for analysis lowers the friction of tracking a portfolio.
For many investors, that is enough. Not every workflow needs a filing-level audit trail.
Where a heavier research workflow wants more
The gap shows up when the question shifts from “give me a fast read” to “let me build and defend a thesis I can put real capital behind.” Three things tend to matter at that point.
Point-in-time history. Most tools show you today’s version of the numbers. Fundamental history gets quietly restated all the time, through demergers, discontinued operations, segment redefinitions, and accounting changes. If you are studying how a business actually looked in FY2019, or testing a screening rule over the past several years, using today’s restated figures can quietly let your analysis act on information that did not exist on the decision date. That is lookahead bias, and it flatters results. Preserving each figure as it stood on each past date is what keeps historical research and backtests honest. We wrote about this in detail in why point-in-time data matters.
Source-linked figures. A summary card is only as trustworthy as the document behind it. When a number drives a decision, an analyst wants to click straight through to the exact filing, line, and date it came from, rather than take a rolled-up value on faith. Auditability is not a nicety in institutional work; it is how you defend a call in an investment committee.
Filing and concall depth. An AI summary of an earnings call is a good starting point. Deeper research means going to the transcript itself, tracing what management actually guided, and checking later whether they delivered. Reading a concall closely is a skill in its own right, and it rewards tools that keep the full text and let you follow guidance over time rather than only a distilled paragraph. Our guide on how to read a concall like an analyst walks through what that looks like, and tracking historical guidance accuracy covers why holding management to its past words is so revealing.
None of this makes Trendlyne worse at what it does. It just marks the line where a broad markets platform and a dedicated research platform are solving different problems.
How Altys approaches the same needs
Altys Labs is an equity research and fundamental-analysis platform for Indian stocks (NSE and BSE) plus Indian mutual funds, built for professional users: PMS firms, AIFs, family offices, and MFDs. It is currently invite-only and in private preview, so it is not a sign-up-today consumer product the way Trendlyne is. Here is how it approaches the three needs above, stated factually.
- India-first and India-deep. Altys is built around Indian equities and funds rather than being a global tool with a lighter India layer. It brings company filings, earnings-call transcripts, management guidance, shareholding patterns, 80-plus global and domestic macro series, FII/DII flows, factor scores, and mutual-fund data into one place.
- Point-in-time by design. It keeps data as it stood on each past date, so research and backtests reflect what was actually knowable at the time rather than history as later restated.
- Source-linked and auditable. Every figure links back to its source document, line, and date, so a number can be traced rather than trusted blindly.
- Filings-based numbers and explicit forecasts. Figures are calculated from a company’s own filings, and forecasts come from explicit statistical methods rather than a language model guessing a growth rate.
On top of that data, Altys provides tools to screen, build financial models, forecast, and backtest a strategy. What it is not is also worth being clear about: it is not a broker, not a tip service, and not a SEBI-registered research analyst or adviser. It does not tell you what to buy or sell. It is software for doing the research yourself.
Which fits whom
| Trendlyne | Altys Labs | |
|---|---|---|
| Primary focus | Broad Indian markets platform: screening, scores, estimates, alerts | India-deep fundamental research and forecasting for equities and funds |
| Best for | Investors and active traders wanting fast reads and market-wide alerts | Professionals building and defending fundamental theses |
| India coverage | India-first (NSE/BSE), plus some US data | India-first (NSE/BSE) equities and Indian mutual funds |
| Point-in-time data | Not its focus | Core design principle |
| Source-linking | Summary and consensus views | Every figure links to document, line, and date |
| Access | Public, free plus paid tiers | Invite-only, private preview |
If you want an affordable, broad, fast-to-read view of the Indian market, with screeners, scores, broker consensus, and alerts, Trendlyne does that well and is available to anyone today. If your work centers on deep fundamental research where point-in-time accuracy, source-linked figures, and filing-level depth are the whole point, a focused platform is a better fit, and Altys Labs is one such option for professional users, currently in private preview. Many serious investors will find a place for both: a broad scanner for coverage and a research platform for the names they actually take a position in.
If you are comparing other broad India retail platforms, our Tickertape alternative piece runs through a similar tradeoff. For a wider survey of the landscape, see our roundup of the best equity research tools in India.
Frequently asked questions
Is Trendlyne available in India?
Yes. Trendlyne is an India-first markets platform covering NSE and BSE stocks, with dedicated Nifty and Sensex sections, and it also provides some US market data. It offers free access plus paid tiers, and its apps are on the Google Play and Apple app stores.
What does Trendlyne do well?
Trendlyne is strong on breadth. It combines stock screeners with thousands of parameters, DVM (Durability, Valuation, Momentum) scores, a Forecaster dashboard that aggregates broker consensus estimates and price targets, SWOT summaries, alerts, backtesting on screener strategies, broker portfolio sync, and AI summaries of earnings calls.
What is a good Trendlyne alternative for deeper fundamental research?
For a professional running concentrated books, the gaps to look for are point-in-time history, source-linked figures, and filing-level depth. Altys Labs is an India-focused equity and mutual-fund research platform built around those needs. It is currently invite-only and in private preview for professional users.
Does Trendlyne track how accurate broker estimates were?
Trendlyne's Forecaster surfaces consensus estimates and includes analyst accuracy tracking, which is useful context. A separate question for serious research is whether a tool preserves what each figure looked like on each past date, so you can check guidance and estimates against what was actually knowable then.