Comparison

Aftermarkets for Indian Stocks: What It Does and an India-Focused Research Alternative

aftermarkets is a real-time NSE and BSE market intelligence tool with conviction scores and fast filing summaries. Here is a fair look at it and a deeper research alternative for India.

aftermarkets is a real-time market intelligence platform for Indian equities on NSE and BSE, built to help investors track what they own and screen what they do not, using conviction scores, fast filing summaries, and institutional flow data. If your need runs deeper, toward point-in-time history, source-linked filings, financial modeling, and backtesting, an India-first research terminal such as Altys Labs approaches a different part of the same problem. This is a comparison of software, not investment advice, and nothing here recommends buying or selling anything.

A quick note on the name, since it causes confusion. The live product is aftermarkets at aftermarkets.in. The similar domain aftermarket.ai is a parked domain that is currently listed for sale, so it is not the product. Everything below refers to the real, working platform at aftermarkets.in.

What aftermarkets is, and who it serves

aftermarkets describes itself with a simple line: “Track what you own. Screen what you don’t.” It is a real-time intelligence layer over the Indian market, covering roughly 4,800 NSE and BSE stocks, and it is aimed at active investors and traders who want to stay on top of what is moving and why, without stitching together several separate tools.

The onboarding tells you a lot about the intended user. The platform invites you to pick three stocks, see a first conviction read, and arm one alert, all in a couple of minutes. That is a monitoring-first design: get eyes on a few names fast, then let the system watch them for you.

The feature set is built around that idea:

  • Conviction scores. Each stock gets a score classified as bullish, bearish, or neutral, updated as market data changes, so a user can scan a watchlist and see where the signal sits.
  • Real-time filing summaries. When a company files with the exchange, aftermarkets generates an AI summary shortly after, so a user does not have to read the raw document to get the gist of what was announced.
  • Institutional flows. FII and DII flow tracking sits alongside the price data, giving a read on where large money is moving.
  • Market context. Sector momentum, heatmaps, market breadth indicators, broker reports, earnings data, and valuation metrics round out the dashboard.
  • Personal workflow. Watchlists, an alert system, a trade journal, and a portfolio tracker turn the data into a daily routine.

Taken together, that is a coherent and genuinely useful product for one clear job: staying informed and reacting quickly to a fast-moving Indian market. If your day is about knowing what changed since yesterday’s close and being alerted when something material happens to a name you hold, aftermarkets is built for exactly that.

Where the gap opens for deep fundamental research

The strength of a real-time monitoring tool is speed and coverage of what is happening now. That same focus is where a different kind of need can go unmet. An analyst doing deep fundamental work on a concentrated book is asking a different set of questions than “what is moving today,” and those questions reward a different kind of tool.

A few things tend to matter more to a fundamental or institutional researcher:

  • Point-in-time history. Testing a view or checking what a company looked like on a past date only works if the data reflects what was actually knowable then, not later restatements. Live dashboards naturally show the current state of the world, which is the right thing for monitoring but not for honest historical work. This is the difference point-in-time data makes.
  • Source-linked figures. A summary of a filing is fast and convenient. Deep research often needs the opposite, the ability to trace a specific number back to the exact filing, line, and date it came from, so a figure can be audited rather than taken on trust. Why that traceability matters is covered in why citations are non-negotiable in financial AI.
  • Concall and guidance depth. Serious research leans heavily on earnings-call transcripts, where management guidance actually lives, and on reading them closely over time rather than as a one-line summary. Reading a concall well is its own skill, as in how to read a concall like an analyst.
  • Modeling, forecasting, and backtesting. Building a financial model, forecasting from a company’s own numbers, and backtesting a strategy against clean historical data are heavier tasks than scanning signals, and they sit closer to the work described in the institutional equity research workflow.

None of this is a knock on aftermarkets. A tool built to keep you current on a live market is doing its job well when it is fast and broad, and it is not trying to be a full research terminal. The point is narrower: monitoring and deep fundamental research are different jobs, and a tool optimized for one will leave room for a tool optimized for the other.

How Altys approaches the deep-research case

Altys Labs is an equity research and fundamental analysis platform built specifically for Indian stocks on NSE and BSE, plus Indian mutual funds. It is aimed at professional users, PMS firms, AIFs, family offices, and MFDs, and it is currently invite-only in a private preview, so it is not a product anyone can simply sign up for today.

Where aftermarkets is real-time and monitoring-first, Altys is research-first. It brings India’s market data into one place: company filings, earnings-call transcripts, management guidance, shareholding patterns, FII and DII flows, factor scores, more than 80 global and domestic macro series, and mutual-fund data. On top of that data sit tools to screen, build financial models, forecast, and backtest a strategy.

A few design choices define how it handles the fundamental-research job:

  • Point-in-time by default. Data is kept as it stood on each past date, so research and backtests reflect what was knowable at the time rather than restated history.
  • Source-linked figures. Every number links back to its source document, line, and date, so a figure can be audited rather than taken on trust.
  • Calculated, not guessed. Numbers are computed from a company’s own filings, and forecasts come from explicit statistical methods rather than a language model inventing a growth rate.
  • India-deep, not India-light. The coverage is built around Indian equities and funds rather than added on to a global platform.

What Altys is not is worth stating plainly, for the same reason aftermarkets’ positioning matters. Altys is not a broker, not a tip service, and not a SEBI-registered research analyst or adviser. It does not tell anyone what to buy or sell, and it does not issue conviction calls or price targets. It is software that helps a professional do their own research.

Which fits whom

These tools sit at different points in an investor’s day, and the right choice follows the work.

aftermarketsAltys Labs
Primary focusReal-time Indian market intelligence and monitoringDeep Indian equity and mutual fund fundamental research
Signature featuresConviction scores, fast filing summaries, FII/DII flows, alertsPoint-in-time data, source-linked figures, modeling, forecasting, backtesting
India coverageIndia-only, NSE and BSEIndia-first and India-deep
Best fitActive investors and traders staying on top of live movesIndia-focused PMS, AIF, family office, MFD analysts
AccessLive product, sign-up onboardingInvite-only private preview
What it is notNot a deep research or backtesting terminalNot real-time signals, not advice, not a broker

If your priority is staying current on a fast market, catching filings as they land, reading flows, and being alerted when a name you hold moves, aftermarkets is built for that and does it in one place. If your priority is deep, auditable fundamental work, checking what was knowable on a past date, tracing every number to its source, modeling a company from its own filings, and backtesting honestly, then a research-terminal style tool covers more of that specific ground.

Many professional investors will not treat this as either-or. It is reasonable to use a live monitoring tool to stay aware and a deeper research tool to actually build and defend a view. For readers weighing the broader landscape, our roundup of AI research tools for Indian stocks places these kinds of options side by side. Altys itself remains in private preview for professional users.

Frequently asked questions

What is aftermarkets?

aftermarkets (aftermarkets.in) is a real-time market intelligence platform for Indian equities on NSE and BSE. It screens roughly 4,800 stocks, produces conviction scores classified as bullish, bearish, or neutral, generates AI summaries of exchange filings shortly after they are published, and tracks FII and DII flows, sector momentum, and market breadth, with watchlists, alerts, and a trade journal on top.

Does aftermarkets cover Indian stocks?

Yes. aftermarkets is India-only. It covers NSE and BSE listed companies and Indian indices, and it is built around real-time monitoring of that market rather than global coverage.

Is aftermarkets a research tool or a tip service?

aftermarkets positions itself as a research, screening, and monitoring tool rather than an explicit buy or sell recommendation service. Its conviction scores are signals and classifications, not instructions, and any investor should do their own analysis. This article does not evaluate those signals or offer advice.

What is a good aftermarkets alternative for deep Indian equity research?

It depends on the job. For staying on top of live moves, filings, and flows, aftermarkets is built for exactly that. For deep fundamental work, point-in-time history, source-linked filings, financial modeling, and backtesting, a research-terminal style tool such as Altys Labs may fit better. Altys is currently invite-only in private preview.