All NSE Stocks with 50 SMA Crossing Below 100 SMA

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 – 12 January 2026

symbol date open high low close volume sma_50 sma_100
AJMERA 2026-01-12 922.05 937.4 905.0 920.85 46532 986.37 989.02
BLUEDART 2026-01-12 5387.5 5399.0 5300.0 5366.5 11663 5701.24 5709.5
DCMSHRIRAM 2026-01-12 1170.8 1200.0 1142.2 1180.5 51277 1229.81 1230.2
ELGIEQUIP 2026-01-12 447.1 453.75 432.2 440.3 361808 484.12 484.51
GKWLIMITED 2026-01-12 1685.1 1800.0 1676.0 1699.4 466 1715.33 1716.46
IFBIND 2026-01-12 1458.0 1458.0 1405.0 1428.0 20385 1653.56 1655.88
INDRAMEDCO 2026-01-12 411.85 416.5 401.65 412.65 193363 495.53 497.71
JUBLPHARMA 2026-01-12 1063.0 1065.4 1019.1 1050.5 121098 1090.05 1090.77
MOREALTY 2026-01-12 88.39 88.45 85.36 86.44 974212 90.32 90.34
MPHASIS 2026-01-12 2838.8 2849.4 2789.3 2832.2 219456 2822.69 2823.32
MUKANDLTD 2026-01-12 128.3 128.62 123.71 127.1 87217 133.97 134.14
MUTHOOTCAP 2026-01-12 276.3 280.9 273.0 279.95 12166 275.25 275.28
NETWEB 2026-01-12 3300.0 3417.9 3271.0 3346.4 1490148 3293.28 3302.65
OMAXAUTO 2026-01-12 94.38 95.55 91.9 94.36 25984 96.67 97.27
SANSTAR 2026-01-12 90.5 93.89 89.3 92.38 350717 91.77 91.92
SBICARD 2026-01-12 854.0 857.9 838.1 855.75 762944 870.1 870.88
SHREEPUSHK 2026-01-12 338.0 338.2 325.45 331.25 48270 386.78 387.64
UCOBANK 2026-01-12 28.78 29.0 28.27 28.91 6113595 30.17 30.22

What this data shows:
The data above classifies NSE stocks based on their position relative to key moving averages and on moving average crossovers.
Moving averages help smooth price action and provide clarity on trend direction, momentum, and potential shifts in market behaviour.

Above and below moving averages:
Stocks trading above a moving average generally indicate strength for that timeframe, while stocks trading below a moving average indicate weakness or a corrective phase.
Short-term moving averages reflect recent price behaviour, whereas longer-term averages provide context on the broader trend.

Bullish and bearish crossovers:
Bullish crossovers occur when a shorter moving average crosses above a longer one, often signalling improving momentum or a possible trend reversal.
Bearish crossovers occur when a shorter moving average crosses below a longer one, typically indicating weakening momentum or trend exhaustion.

How to use this information:
This data should be used strictly as a screening and confirmation tool.
Users should combine moving average observations with price structure, overall market and sector trend, volume behaviour, support and resistance levels, and proper risk management before making any trading or investment decision.
These lists are best suited for watchlist building and next-day market preparation.

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