Research field guide
Build a research list with a reason behind every name.
Build a daily research list from observable activity. Gapperz helps you move from a session question to a scanner result, then into the company context and monitoring that make the list useful.
By GapperzUpdated
From a match to a question.
A compact record keeps the context useful when you return.
- QAAA · Observed at 08:20 ET
Premarket activity; source reviewed at 08:23.
- What needs a closer look?
Volume baseline, quoted spread, and financing terms.
- What brings you back?
A defined price alert or a new source update.
- 01Start with a defined session and research question.
- 02Read price, participation, and quote conditions together.
- 03Keep a source and a next check beside every name you follow.
Give the search a specific job.
Finding stocks to day trade starts with deciding what you want to investigate. A premarket gap, a fresh volume change, and a stock trading near its day high are different observations. Choose a question before opening a scanner so the results have an interpretable reason to be there.
Record the session and the market you intend to study. U.S. premarket activity leads into the 9:30 a.m. Eastern regular-session open, when participation and quote conditions can change quickly. A list prepared earlier remains useful when its observations retain their timestamps and get a fresh review.
In Gapperz, begin with the preset view that matches that question. The scanner narrows your attention to current matches; the selected symbol's context gives you a place to investigate further. This is a research process for finding and organizing information, not a list of recommended securities.
| Research question | Starting point | Next check |
|---|---|---|
| What moved before the open? | Premarket scanning | Reference close, participation, issuer context |
| Where did recent activity change? | Volume Spikes | Window, baseline, price, spread |
| What is busy relative to its usual pace? | High RVOL | Historical baseline and absolute activity |
| Where is price near a session reference? | Momentum or VWAP workflow | Reference definition and timestamp |
Turn a row into a research question.
Suppose fictional QAAA appears at 8:20 a.m. after a price change and higher-than-usual participation. The row tells you that the scanner condition is met. It does not, by itself, establish what caused the activity or what happens next. Open the chart, inspect the volume basis, and record the observed quote conditions.
Read volume in more than one way. Absolute shares show the amount traded, relative volume puts the activity against a baseline, and dollar volume adds a price-based estimate of its scale. A large relative ratio can come from a small denominator, so it belongs beside the underlying quantities.
Check the bid and ask rather than treating the last trade as an executable quote. Keep quote time beside the spread. A narrow spread at one observation says something about that moment; the available size and the next update remain separate pieces of information.
Give the observation a documented context.
Read the available company news and filings with the issuer's identity in view. Similar names, old announcements resurfacing in a feed, and a new filing describing an earlier event all require different interpretation. Use the source document to identify what was announced and when.
At 8:23 a.m., the QAAA review might become: read the issuer announcement, record its event date, and revisit participation nearer the open. That is a concrete research note. Writing down a price prediction would add something the observation has not established.
When a field is unavailable, keep that gap explicit. An unknown float remains unknown; a source you have not read remains unchecked. Gapperz's scanner workflow stays useful through the observations that are available, while field-dependent questions wait for trustworthy inputs.
Keep the list short enough to revisit.
A practical research list contains a name, a reason, a source, an observation time, and a next check. The next check can be reading a document, reviewing the spread after a session transition, or monitoring a specified condition. This gives the list a purpose beyond collecting tickers.
Use a Gapperz focus list to keep the names you are following together. Configure an alert for a defined condition when you want to revisit it. Founding includes ten in-app alert rules; Pro increases that allowance and adds email alerts and saved custom scans.
Prepare.
Choose the session, scanner, and definitions. Record the conditions that brought each name into your research.
Review.
Read available sources and quote context. Keep separate timestamps for the observation and the underlying publication.
Revisit.
Refresh the list at your next checkpoint. Update the research question, retain relevant context, and remove entries whose original reason no longer applies.
A few useful answers.
What is the first step in finding stocks to research for the day?
Define a session and an observable question, such as premarket gaps, changing short-window activity, or high relative volume. Then choose the matching scanner and read each result alongside price, volume, quote conditions, and available source context.
How many stocks belong on a research list?
Use a list you can meaningfully review at your chosen checkpoints. There is no universal count. Every entry should have a documented reason, an observation time, and a next check; unexplained names make the routine harder to maintain.
Does a scanner result recommend a trade?
A result means a set of research filters is satisfied. It identifies an observation to investigate. Source review, changing quote conditions, and your own decision process remain separate from scanner membership.
Sources & editorial notes
Prepared by Gapperz using our scanner definitions and the primary references below. The examples are illustrative; the public methodology explains how we label data and research context.