How to Use Multi-Day Institutional Presence

How to Use Multi-Day Institutional Presence Data

This page explains how to read and interpret the Multi-Day Institutional Presence table. This filter is designed to identify stocks where delivery-based participation persists over multiple days, indicating sustained presence rather than one-off activity.

Each row represents one stock for one trading day, evaluated using delivery quality and trend persistence over a defined period.


Understanding Each Column

Symbol

The stock symbol as listed on the exchange (e.g., NSE). Each symbol uniquely identifies a listed company.

Date

The trading date on which multi-day participation was confirmed. All values in the row correspond to this specific trading session.

Close

The closing price of the stock on the given date.

  • Represents the final market consensus for the day
  • Used to assess whether sustained participation supports price stability

Volume

The total number of shares traded during the trading day.

  • Reflects overall market activity
  • Evaluated in combination with delivery behavior

Delivery Volume

The number of shares that resulted in actual delivery rather than intraday trades.

  • Represents positional participation
  • Consistently high delivery over multiple days indicates sustained interest

Delivery %

The percentage of total traded volume that resulted in delivery.

  • High values indicate conviction-based holding
  • Persistence over several days strengthens signal reliability

Trend Consistency (Days Up)

The number of consecutive days the stock has maintained an upward or stable price trend.

  • Higher values indicate durability of participation
  • Helps filter out one-day spikes or noise-driven activity

How to Read This Data Holistically

The Multi-Day Institutional Presence filter should be interpreted by combining delivery persistence with price trend behavior.

  • High delivery % sustained across multiple days indicates ongoing accumulation
  • Stable or rising prices confirm acceptance of participation
  • Higher trend consistency days improve signal quality

What This Filter Indicates

  • Sustained delivery-based participation over several sessions
  • Reduced likelihood of one-day speculative activity
  • Higher probability of trend continuation if structure holds

What This Filter Does Not Indicate

  • It is not a short-term trading or breakout signal
  • It does not guarantee immediate price movement
  • It does not replace price-based confirmation

Important Notes

  • This filter is most effective when combined with trend and structure analysis
  • Multi-day presence can occur during consolidation phases
  • Always evaluate in the context of the broader market

Disclaimer: This information is provided for educational and analytical purposes only and should not be considered trading or investment advice.


Data Update Frequency

Multi-Day Institutional Presence data is updated after market hours for each trading day. Trend consistency is recalculated dynamically.


Summary

The Multi-Day Institutional Presence filter helps identify stocks where delivery-based participation persists over multiple trading sessions. It is best used to spot sustained accumulation phases and higher-quality setups rather than isolated activity.