How to Use Fake Activity Reject

How to Use Fake Activity Reject Data

This page explains how to read and interpret the Fake Activity Reject table. This filter is designed to identify stocks where high trading activity is not supported by delivery, indicating participation that lacks conviction and is often driven by short-term or speculative trades.

Each row represents one stock for one trading day, evaluated by comparing volume spikes against delivery behavior over both short-term and long-term periods.

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 the fake activity 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 to evaluate whether price movement is supported by conviction

Volume

The total number of shares traded during the trading day.

  • Reflects overall trading activity
  • Abnormally high volume is assessed for quality using delivery data

Delivery Volume

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

  • Represents conviction-based participation
  • Low delivery volume despite high trading activity is a key warning sign

Delivery %

The percentage of total traded volume that resulted in delivery.

  • Low values indicate speculative or non-committal participation
  • Helps differentiate real activity from artificial volume spikes

Recent Avg Volume (5d)

The average daily trading volume over the most recent 5 trading days.

  • Shows short-term participation trend
  • Used to identify sudden or abnormal volume expansion

Previous Avg Volume (15d)

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

  • Represents normal trading behavior
  • Serves as a baseline for detecting unusual activity

Recent Delivery % Avg (5d)

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

  • Reflects recent delivery behavior
  • Persistently low values confirm lack of holding intent

Historical Avg Delivery % (120d)

The average delivery percentage over the last 120 trading days.

  • Represents the stock’s normal delivery profile
  • Used to judge whether recent delivery behavior is abnormally weak

How to Read This Data Holistically

The Fake Activity Reject filter should be interpreted by comparing volume expansion with delivery quality.

  • Sharp rise in volume without a corresponding rise in delivery indicates fake activity
  • Recent delivery averages well below historical averages confirm weak conviction
  • Price movement without delivery support is more likely to fail or reverse

What This Filter Indicates

  • Speculative or short-term trading dominating activity
  • Lack of genuine accumulation or distribution
  • Higher probability of move rejection or mean reversion

What This Filter Does Not Indicate

  • It is not a buy or sell signal
  • It does not indicate accumulation or distribution
  • It does not define trend direction by itself

Important Notes

  • This filter is especially useful during volatile or news-driven sessions
  • Fake activity can occur on both the upside and downside
  • Always confirm with price structure and follow-through

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

Data Update Frequency

Fake Activity Reject data is updated after market hours for each trading day. Volume and delivery averages are recalculated using rolling historical windows.

Summary

The Fake Activity Reject filter helps identify stocks where apparent activity is not supported by delivery-based conviction. It is best used as a risk filter to avoid false breakouts, low-quality moves, and speculative traps.