SIEMENS Institutional Distribution

How to Read This Data Sheet (For Swing & Short-Term Traders)

This document explains each column in the data sheet in simple language, from a
distribution and profit-booking perspective. It is meant for users who
understand basic stock market concepts and are interested in swing trading or
short-term investing. This is not trading advice; it explains how to read and use the data.

Important Structure Note

Top 10 Delivery Volume For the One Year Period belong to historical data. These represent the top delivery volume / delivery percentage days over the last one year.

Current Date Data belong to the latest available trading day (current date). These values are the same for all rows and are provided only for comparison with historical data.

Historical Data Columns (Top Delivery Days – Last 1 Year)

DATE: Historical trading date with high delivery activity. In a distribution view, these often mark profit booking or supply entering the market.

SYMBOL: The stock symbol. All rows belong to the same stock.

OPEN: Opening price. Weak opens after a rally may indicate distribution.

HIGH: Highest price of the day. Repeated rejection near highs signals distribution.

LOW: Lowest price of the day. Lower lows indicate weakening demand.

CLOSE: Closing price. Closes near the low suggest selling pressure.

VOLUME: Total traded volume. High volume without price progress indicates distribution.

DELIVERY_VOLUME: Shares taken for delivery. High delivery with weak price suggests exits.

DELIVERY_PCT: Delivery percentage. Falling delivery % after a rally signals weakening commitment.

RANK: Rank among top delivery days. Higher-ranked days near highs indicate profit-booking zones.

Latest Bar Data Columns (Current Market Snapshot)

SUM_TRADED_VAL_3D: 3-day traded value. High value with weak price shows selling pressure.

SUM_TRADED_VAL_5D: 5-day traded value. Sustained high value without price rise is a warning.

AVG_DELIVERY_PCT_20D: 20-day average delivery. Current delivery below this suggests exit.

RANGE: High–Low range. Wide range with weak close indicates selling.

SMA_50: Medium-term trend. Failure to hold indicates weakness.

SMA_200: Long-term trend. Trading below confirms structural weakness.

CLOSING_ABOVE_200_SMA: FALSE strengthens distribution bias.

LATEST_BAR_SMA_200: Acts as resistance.

LATEST_BAR_RSI_14: RSI below 50 indicates weakening momentum.

LATEST_BAR_EMA_9: Price below EMA 9 suggests selling control.

LATEST_BAR_EMA_21: EMA 21 acting as resistance confirms distribution.

LATEST_BAR_VOLUME: Rising volume on weak days supports distribution.

LATEST_BAR_DELIVERY_VOLUME: Falling delivery suggests exit activity.

LATEST_BAR_CLOSE: Used to compare with historical resistance zones.

How a Swing Trader Should Use This Sheet

Step 1: Identify historical high-delivery days near price highs.

Step 2: Mark those levels as resistance or profit-booking zones.

Step 3: Compare the latest price with those zones.

Step 4: Confirm weakness using SMA, RSI, and EMA behaviour.

What This Data Sheet Is Not

This data sheet is not a buy or sell recommendation. It does not predict price falls. It is a decision-support tool to understand market behaviour.