Using non-technical data in scanners

TrendSpider Market Scanner not only supports technical conditions (like indicators, price action, etc). You can also use non-technical conditions, like Earnings, Dividends, Splits and such.

Non-technical data types supported

  • Fundamentals
  • Splits
    • Type of split: Forward or Reverse
    • Condition: Declaration date, Ex-date, or Effective date
    • Search parameter: X days ago, Within last X days, in X days, within next X days, or today.
  • Dividends. You can scan either for dates of dividends, or for details like dividend yield.
    • Type of event: Declaration Date, Ex-Date, Record Date
    • Search parameter: X days ago, Within last X days, in X days, within next X days, or today.
  • Earnings. You can scan either for dates of earnings, or for details like surprise%.
    • Search parameter: X days ago, Within last X days, in X days, within next X days, or today.
  • Analyst Estimates. You can search for markets with recent analyst reports released.
    • Which analyst: any of them or select one.
    • What action: upgrade, downgrade, confirm.
    • What is the new rank now: buy, sell, hold.
  • News. You can search for markets where recent news satisfy your search query.
  • Watch lists. You can have "symbol exists in a given watch list" as a scan condition. This is useful if you want to narrow down your scanner base uniserse using a number of pre-moderated lists. Like, in example, you can use that if you want to find "all the SPX500 consituents which are being talked about on Reddit and have a Market Cap of 3B to 10B.

How to use non-technical data types in scanning

You can use these conditions together with classic technical things like indicators or price action. For example, you can search for any US equity that has experienced either a forward or reverse split by grouping the conditions together into one and selecting any as the operator. You may also incorporate these new operators into your other technical scans.

We have certain example scanners featuring non-technical data, which are available to everyone on the platform. Search for them by using a #sample tag.

Apr 16, 2024

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