How to Use Accumulation Zone

How to Use Accumulation Zone Data

This page explains how to read and interpret the Accumulation Zone table. This filter is designed to identify stocks where accumulation is taking place quietly through delivery-based buying, often without an immediate price rise.

Each row represents one stock for one trading day, evaluated in the context of recent price, volume, and delivery behavior.


Understanding Each Column

Symbol

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

Date

The trading date on which the accumulation signal was detected. 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 as the reference price for short-term price change calculations

Volume

The total number of shares traded during the trading day.

  • Higher volume indicates stronger market participation
  • Volume is evaluated in comparison with recent historical averages

Delivery Volume

The number of shares that resulted in actual delivery (i.e., not squared off intraday).

  • Represents long-term or positional buying and selling
  • High delivery volume reflects conviction-based participation

Delivery %

The percentage of total traded volume that resulted in delivery.

  • Higher values indicate stronger holding intent
  • Delivery-based activity reflects non-speculative participation

Price Change % (5d)

The percentage change in the stock’s price over the last 5 trading days.

  • Negative or flat values alongside high delivery suggest accumulation
  • Sharp positive values may indicate the move has already begun

Recent Delivery % Avg (5d)

The average delivery percentage over the most recent 5 trading days.

  • Shows short-term delivery behavior trend
  • A rising 5-day average indicates increasing positional interest

Previous Delivery % Avg (15d)

The average delivery percentage over the preceding 15 trading days.

  • Serves as a baseline for comparison
  • When the 5-day average exceeds the 15-day average, it signals strengthening accumulation

Recent Average Volume (5d)

The average daily trading volume over the last 5 trading days.

  • Used to assess whether participation is increasing
  • Rising short-term volume supports accumulation validity

Previous Average Volume (15d)

The average daily trading volume over the previous 15 trading days.

  • Represents normal or baseline trading activity
  • Comparison with 5-day average highlights volume expansion or contraction

How to Read This Data Holistically

This filter should be interpreted by combining price behavior, delivery strength, and volume trends rather than focusing on a single column.

  • High delivery % with flat or falling price suggests accumulation
  • 5-day delivery average above 15-day average confirms improving quality of buying
  • Volume stability or gradual increase strengthens signal reliability

What This Filter Indicates

  • Early-stage accumulation
  • Supply absorption without aggressive price movement
  • Potential setup before a future directional move

What This Filter Does Not Indicate

  • It is not a breakout or momentum signal
  • It does not guarantee immediate price appreciation
  • Timing confirmation must come from price action or trend indicators

Important Notes

  • This data reflects observed market behavior, not predictions
  • Signals should be validated with trend, support-resistance, and market context
  • False signals may occur during broader market weakness

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


Data Update Frequency

Accumulation Zone data is updated after market hours for each trading day. Historical comparisons are calculated dynamically using recent sessions.


Summary

The Accumulation Zone filter helps identify stocks where strong hands may be building positions quietly. It is best used as an early-warning tool before trend expansion, in combination with price structure and broader market analysis.