IndiaTips.in presents post-market analytical data generated after market close and intended for next-day trade and investment preparation.
All information is derived from structured market data and is provided for interpretation and learning purposes only.
This platform does not provide buy or sell recommendations.
Users are expected to apply their own judgment, confirmation tools, and risk management.
How to use the data table is explained clearly below. Please refer to the section beneath the table for details.
All data has been collected after the market closed – 14 January 2026
| DATE | SYMBOL | OPEN | HIGH | LOW | CLOSE | VOLUME | DELIVERY_VOLUME | DELIVERY_PCT | RANK | SUM_TRADED_VAL_3D | SUM_TRADED_VAL_5D | AVG_DELIVERY_PCT_20D | RANGE | SMA_50 | SMA_200 | CLOSING_BELOW_200_SMA | LATEST_BAR_SMA_200 | LATEST_BAR_RSI_14 | LATEST_BAR_EMA_9 | LATEST_BAR_EMA_21 | LATEST_BAR_VOLUME | LATEST_BAR_DELIVERY_VOLUME | LATEST_BAR_CLOSE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-08-08 | BHARTIARTL | 1886.3 | 1893.8 | 1856.0 | 1858.6 | 93801104 | 67296144 | 71.74 | 1 | 193084180528.1 | 208953297245.7 | 71.38 | 37.8 | 1925.64 | 1771.02 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-05-16 | BHARTIARTL | 1834.0 | 1834.0 | 1810.1 | 1814.0 | 100662048 | 75555296 | 75.06 | 2 | 212586604458.0 | 236003728121.0 | 65.0 | 23.9 | 1753.73 | 1688.66 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-04-07 | BHARTIARTL | 1730.0 | 1774.75 | 1669.4 | 1686.65 | 14870388 | 9248010 | 62.19 | 3 | 42799383676.5 | 65761377318.5 | 66.62 | 105.35 | 1659.09 | 1640.31 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-02-28 | BHARTIARTL | 1641.95 | 1648.45 | 1559.5 | 1570.2 | 13640211 | 9010402 | 66.06 | 4 | 44228482711.4 | 60641612291.15 | 64.26 | 88.95 | 1624.72 | 1625.5 | True | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-03-12 | BHARTIARTL | 1690.0 | 1716.65 | 1634.0 | 1642.85 | 9907628 | 4238854 | 42.78 | 5 | 32547557691.1 | 45915237363.8 | 65.13 | 82.65 | 1629.08 | 1625.18 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-11-26 | BHARTIARTL | 2104.0 | 2134.9 | 2097.5 | 2126.8 | 43174048 | 36720212 | 85.05 | 6 | 128022595413.34 | 158643559937.64 | 67.15 | 37.4 | 2009.19 | 1868.56 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-06-20 | BHARTIARTL | 1880.0 | 1949.0 | 1874.0 | 1936.7 | 16228526 | 12405150 | 76.44 | 7 | 49733839767.5 | 72554918644.6 | 70.25 | 75.0 | 1846.03 | 1721.3 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-05-13 | BHARTIARTL | 1870.0 | 1883.7 | 1816.6 | 1820.6 | 8817763 | 5938236 | 67.34 | 8 | 30230712378.6 | 51080015435.0 | 67.88 | 67.1 | 1741.06 | 1684.12 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-07-11 | BHARTIARTL | 1942.0 | 1959.1 | 1914.2 | 1921.9 | 13103980 | 11071163 | 84.49 | 9 | 42307368024.3 | 58137416739.1 | 70.73 | 44.9 | 1898.04 | 1750.36 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
| 2025-10-23 | BHARTIARTL | 2063.9 | 2067.0 | 2003.6 | 2007.9 | 8790128 | 5560319 | 63.26 | 10 | 46373025393.2 | 60439843832.8 | 63.25 | 63.4 | 1918.06 | 1814.6 | False | 1944.94 | 35.95 | 2055.74 | 2076.19 | 4842964 | 2819963 | 2022.5 |
How to Use Institutional Distribution Data
This page explains how to read and interpret the Institutional Distribution data sheet.
Institutional distribution focuses on identifying zones where large participants are reducing exposure, booking profits, or supplying stock to the market.
This guide is intended for users familiar with basic market concepts and is particularly useful for swing traders and short-term participants.
This is not trading advice. It explains how to interpret the data correctly.
Important structure note:
The data sheet is structured in two distinct parts.
Top 10 Delivery Volume (Last 1 Year):
This section highlights historical sessions with unusually high delivery activity.
Such periods often mark distribution phases or profit-booking near intermediate or major price tops.
Current Date Data:
This section contains data from the latest available trading day and is used to assess whether distribution pressure is continuing or stabilising.
Current-date values are identical across all rows and are provided strictly for comparison with historical distribution zones.
Historical data columns (Top delivery days – last 1 year):
DATE: Historical trading date with unusually high delivery activity. These sessions often reflect institutional selling or profit booking and frequently align with price tops.
SYMBOL: Stock symbol. All rows in the sheet refer to the same stock.
OPEN: Opening price. Weak or gap-down opens after a rally often indicate distribution.
HIGH: Highest price of the session. Repeated failure to sustain above highs and upper wicks near highs signal supply.
LOW: Lowest price of the session. Lower lows indicate increasing selling pressure.
CLOSE: Closing price. Closes near the low and weak closes after high delivery confirm selling dominance.
VOLUME: Total traded volume. High volume without upward price progress indicates supply absorption.
DELIVERY_VOLUME: Shares taken for delivery. High delivery during weak price action often reflects institutional exits.
DELIVERY_PCT: Delivery percentage. Falling delivery percentage after a rally signals reduced holding intent.
RANK: Rank among the highest delivery days in the last one year. Highly ranked days near price highs often mark distribution zones.
Latest bar data columns (current market snapshot):
SUM_TRADED_VAL_3D: Total traded value over the last three trading days. High value with flat or falling price confirms selling pressure.
SUM_TRADED_VAL_5D: Total traded value over the last five trading days. Sustained high value without price appreciation is a strong distribution signal.
AVG_DELIVERY_PCT_20D: 20-day average delivery percentage. Current delivery below this average suggests continued exit activity.
RANGE: High–low range of the latest session. Wide range with a weak close indicates aggressive selling.
SMA_50: 50-day simple moving average. Failure to hold this level confirms medium-term weakness.
SMA_200: 200-day simple moving average. Trading below this level confirms long-term structural distribution.
CLOSING_ABOVE_200_SMA: Indicates long-term trend position. A FALSE value strongly supports a distribution view.
LATEST_BAR_SMA_200: Acts as overhead resistance during pullbacks.
LATEST_BAR_RSI_14: RSI reading for the latest session. RSI below 50 confirms bearish momentum.
LATEST_BAR_EMA_9: Short-term EMA. Price below EMA 9 indicates sellers in control.
LATEST_BAR_EMA_21: Intermediate EMA. EMA 21 acting as resistance confirms ongoing distribution.
LATEST_BAR_VOLUME: Latest session volume. Rising volume on down days strengthens the distribution case.
LATEST_BAR_DELIVERY_VOLUME: Latest session delivery volume. Declining delivery indicates lack of long-term holding interest.
LATEST_BAR_CLOSE: Latest closing price, used to test proximity to historical distribution and resistance zones.
How a swing trader should use this sheet:
Identify historical high-delivery days near market tops and mark those areas as resistance or supply zones.
Compare current price behaviour with these zones and confirm weakness using RSI, EMA, and moving average behaviour.
Summary:
The Institutional Distribution sheet helps identify areas where large participants may be exiting or reducing exposure.
It is particularly useful for avoiding late entries, identifying resistance zones, and managing exits in swing and short-term trading.
This analysis is most effective when combined with broader market trend assessment and disciplined risk management.