This is not investment advice

What this platform actually does

It fetches end-of-day and intraday price data, computes standard technical indicators from it, evaluates rules you wrote against those numbers, and shows you which instruments matched. That is the whole mechanism. There is no proprietary model, no forecast, and nothing that looks at your circumstances.

Screeners

Filter a list by conditions you chose. A stock appearing in a result means it satisfied your rule on the data available — nothing more.

Marketplace screens

Public, published rule sets — named after the strategies they implement, not endorsed by us. The rules are visible before you install one, deliberately, so you can judge whether you agree with them.

Backtests

What a rule would have selected historically, under assumptions you set. They exclude slippage you did not model, liquidity you may not get, and the fact that you would have had to actually place the trades.

Pattern recognition

A general-purpose vision model describing a chart image. It has not been validated against market outcomes, nothing downstream consumes its verdict, and it should be read as a second pair of eyes, not a finding.

The journal

Your own trades, imported by you, with statistics computed from them. It describes what you did. It does not evaluate whether you should have.

On the word "Signal"

The watchlist has a column headed Signal whose values read Buy, Hold, Watch and Avoid. Those labels are the output of a fixed formula over moving averages and RSI — the same arithmetic for every user, with no knowledge of who is reading it.

We think the word is more confident than the calculation behind it deserves. It is being reconsidered. Until it changes, read it as “this is where the arithmetic lands” and not as advice.

What can go wrong

Equity and derivatives trading carries risk of substantial loss, including the loss of your entire capital. Derivatives can lose more than you put in. These are the failure modes specific to using a tool like this one.

• Backtests are the strongest illusion here. A rule tuned until its historical curve looks good has usually been fitted to the past, not validated against it. Past performance does not indicate future results.
• The data can be wrong. Prices come from ICICI Direct Breeze, fundamentals from Yahoo Finance, and neither we nor they guarantee accuracy, completeness or timeliness. Corporate actions, splits and bad ticks all reach the store. Data Health exists because this is a real and recurring problem.
• Prices are usually not live. Outside market hours — most of every week — every screen shows the last close. The source badge on each screen says which, and it is worth reading before acting.
• A screen result is not an entry. It says a condition was true at a point in time. It says nothing about position size, liquidity at your size, whether you can exit, or what happens next.
• The AI features can be confidently wrong. Language models produce plausible text, which is not the same as correct text. Everything they produce here is a draft for you to check, never something acted on directly.

Nothing here places orders

The broker connection is read-only by construction, not by policy. The client that talks to ICICI has no order, funds, margin, holdings or position methods, and a runtime allowlist rejects those endpoint families outright — so a future change cannot quietly route a trade through it.

Every order you place is placed by you, with your broker, on your own judgement.

The decisions remain yours

Nothing here accounts for your income, your existing holdings, your tax position, your time horizon or your tolerance for a bad year. Those are exactly the things that determine whether any particular trade is sensible, and this platform is not told any of them.

If you want advice that accounts for your circumstances, consult a SEBI-registered Investment Adviser. That is a different service from this one, and we are not it.

Read alongside

The Terms of Service cover liability and acceptable use. The Privacy Policy covers what data we hold. The method note explains why the platform is built to show its working rather than its conclusions.