BSOFT Institutional Accumulation

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_ABOVE_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
2025-10-23 BSOFT 354.5 388.4 354.5 378.1 33016976 5062774 15.33 1 12941032574.5 13419449038.3 42.82 33.9 367.57 423.66 False 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-05-30 BSOFT 412.0 412.0 396.05 400.5 6993485 2701272 38.63 2 7071116858.85 8052244661.4 32.69 15.95 396.66 466.51 False 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-07-31 BSOFT 412.0 412.1 389.0 391.5 4570137 2580094 56.46 3 4732043200.0 5626337100.95 42.08 23.1 419.71 453.4 False 398.12 47.45 425.45 426.71 695985 307648 419.6
2024-12-20 BSOFT 596.4 602.55 572.0 577.0 4187693 2380111 56.84 4 3618022515.35 5007159296.15 47.85 30.55 600.86 600.86 False 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-06-25 BSOFT 426.9 445.5 424.3 443.65 6633939 2056858 31.01 5 4281064662.55 5590595227.7 35.55 21.2 408.52 459.79 False 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-12-04 BSOFT 422.0 438.6 415.45 435.9 6127469 2003248 32.69 6 8943783946.65 9333173534.75 38.28 23.15 373.93 401.75 True 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-05-12 BSOFT 395.0 424.35 390.0 420.45 5750334 2000957 34.8 7 3146443169.85 3790093996.35 33.33 34.35 400.69 472.96 False 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-11-12 BSOFT 385.0 401.0 383.3 397.1 4123299 1969021 47.75 8 2398803631.95 2942380843.35 40.53 17.7 368.34 412.9 False 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-12-03 BSOFT 405.9 424.8 405.1 422.75 8873145 1955160 22.03 9 6457258805.45 6849592878.0 38.9 19.7 372.83 402.25 True 398.12 47.45 425.45 426.71 695985 307648 419.6
2025-04-02 BSOFT 388.0 394.05 380.7 391.95 3032028 1860357 61.36 10 2732409633.2 4626206449.0 39.62 13.35 469.24 502.34 False 398.12 47.45 425.45 426.71 695985 307648 419.6

How to use This Data

How to Use Institutional Accumulation Data
This page explains how to read and interpret the Institutional Accumulation data sheet from a distribution and profit-booking perspective.
It is intended for users who understand basic stock market concepts and focus on swing trading or short-term investing.

This is not trading advice. The purpose of this section is to explain how to read and use the data correctly.

Important structure note:
The data sheet is divided into two distinct parts.

Top 10 Delivery Volume (Last 1 Year):
This section contains historical data showing days with the highest delivery volume and delivery percentage over the past one year.
From a distribution perspective, these dates often represent profit-booking or supply entering the market.

Current Date Data:
This section contains data from the latest available trading day and is provided only for comparison against historical delivery behaviour.
The current date values are the same across all rows and should be used to assess whether present activity aligns with past distribution zones.

Historical data columns (Top delivery days – last 1 year):

DATE: Historical trading date with unusually high delivery activity. Such dates often mark distribution or exit points.
SYMBOL: Stock symbol. All rows in the sheet belong to the same stock.
OPEN: Opening price. Weak opens after a rally may indicate distribution.
HIGH: Highest price of the session. Repeated rejection near highs signals selling pressure.
LOW: Lowest price of the session. Lower lows reflect weakening demand.
CLOSE: Closing price. Closes near the low suggest strong selling pressure.
VOLUME: Total traded volume. High volume without price progress indicates distribution.
DELIVERY_VOLUME: Shares taken for delivery. High delivery with weak price action often signals exits.
DELIVERY_PCT: Delivery percentage. Falling delivery percentage after a rally signals weakening commitment.
RANK: Rank among the top delivery days in the last one year. Higher-ranked days near price highs often indicate profit-booking zones.

Latest bar data columns (current market snapshot):

SUM_TRADED_VAL_3D: Total traded value over the last three days. High value with weak price action suggests selling pressure.
SUM_TRADED_VAL_5D: Total traded value over the last five days. Sustained high value without price rise is a warning sign.
AVG_DELIVERY_PCT_20D: 20-day average delivery percentage. Current delivery below this level suggests exit activity.
RANGE: High–low range of the latest session. Wide range with a weak close indicates selling dominance.
SMA_50: 50-day simple moving average. Failure to hold this level reflects weakening structure.
SMA_200: 200-day simple moving average. Trading below this level confirms long-term structural weakness.
CLOSING_ABOVE_200_SMA: Indicates whether price is above the 200-day average. A FALSE value strengthens the distribution bias.
LATEST_BAR_SMA_200: Acts as resistance during pullbacks.
LATEST_BAR_RSI_14: RSI of the latest bar. RSI below 50 indicates weakening momentum.
LATEST_BAR_EMA_9: Short-term EMA. Price below EMA 9 suggests selling control.
LATEST_BAR_EMA_21: Intermediate EMA. EMA 21 acting as resistance confirms distribution.
LATEST_BAR_VOLUME: Latest day volume. Rising volume on weak days supports distribution.
LATEST_BAR_DELIVERY_VOLUME: Latest day delivery volume. Falling delivery suggests exit activity.
LATEST_BAR_CLOSE: Latest closing price, used to compare against historical resistance and distribution zones.

How a swing trader should use this sheet:
Identify historical high-delivery days near price highs and mark them as resistance or profit-booking zones.
Compare the latest price behaviour with these zones and confirm weakness using moving averages, RSI, and EMA behaviour.

Summary:
This Institutional Accumulation sheet is best used as a distribution and exit-zone identification tool.
It helps swing and short-term traders understand where supply historically entered the market and whether current price action confirms continued weakness or resistance.
It is most effective when used alongside broader market context and disciplined risk management.

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