All NSE Stocks with 30 SMA Crossing Below 50 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 – 13 January 2026

symbol date open high low close volume sma_30 sma_50
ACL 2026-01-13 68.6 69.5 67.13 68.24 25453 69.46 69.63
APEX 2026-01-13 274.35 278.55 269.0 273.15 295779 278.07 278.96
ASHIANA 2026-01-13 282.5 292.9 281.8 291.5 45055 290.79 291.17
ASTEC 2026-01-13 639.9 647.8 618.15 637.2 104773 716.32 718.01
BANKPSU 2026-01-13 87.2 87.77 86.8 87.4 29791 84.54 84.55
EQUITASBNK 2026-01-13 66.58 68.34 66.39 68.01 7018588 62.16 62.23
GROWWN200 2026-01-13 11.69 11.74 11.53 11.54 109356 11.7 11.7
GSEC10IETF 2026-01-13 259.0 259.5 258.11 259.5 711 259.02 259.03
HDFCBSE500 2026-01-13 37.78 37.91 37.47 37.64 13615 38.02 38.04
INSECTICID 2026-01-13 638.0 646.75 630.0 634.8 20544 698.3 698.68
KINGFA 2026-01-13 4336.1 4349.9 4280.0 4319.2 1696 4125.76 4133.37
MADHAV 2026-01-13 40.14 40.79 39.0 40.39 5151 41.61 41.61
MAHLIFE 2026-01-13 370.0 372.45 365.0 367.6 82431 397.46 397.84
MAKEINDIA 2026-01-13 159.7 159.7 153.5 154.39 133700 154.88 154.9
MIRZAINT 2026-01-13 34.93 36.5 33.9 35.23 203749 38.37 38.43
PSUBANK 2026-01-13 873.97 874.5 863.56 872.03 153131 840.25 840.33
PSUBANKADD 2026-01-13 87.37 88.09 86.95 87.82 46906 84.67 84.69
PSUBNKBEES 2026-01-13 97.95 97.95 96.15 97.0 3178991 93.76 93.81
PSUBNKIETF 2026-01-13 89.46 89.46 87.3 88.09 142326 85.05 85.1
RISHABH 2026-01-13 360.0 367.9 352.1 354.15 22470 395.99 397.98
SJS 2026-01-13 1680.0 1728.0 1669.6 1719.6 130319 1717.06 1717.34
UFO 2026-01-13 80.3 81.88 78.1 79.86 54663 81.03 81.04

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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