All NSE Stocks with 50 SMA Crossing Below 200 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 – 14 January 2026

symbol date open high low close volume sma_50 sma_200
AMDIND 2026-01-14 43.98 45.14 42.38 43.44 59212 51.37 51.52
ANDHRSUGAR 2026-01-14 70.7 71.78 70.7 71.23 49398 76.66 76.75
AVTNPL 2026-01-14 66.05 66.58 65.03 66.05 19632 67.88 67.92
EIDPARRY 2026-01-14 942.5 951.4 932.5 943.0 519478 1021.42 1021.7
FILATEX 2026-01-14 45.7 46.2 45.3 45.77 240898 52.09 52.41
FMGOETZE 2026-01-14 451.4 451.4 443.0 446.95 17172 477.61 478.03
HUHTAMAKI 2026-01-14 187.4 192.4 186.0 190.41 90653 216.76 217.28
INFIBEAM 2026-01-14 15.15 15.64 15.15 15.47 5328830 17.62 17.65
INOXINDIA 2026-01-14 1114.1 1132.0 1110.8 1123.2 24708 1151.69 1152.14
LANDMARK 2026-01-14 450.9 455.0 437.0 450.0 205175 517.91 518.77
MUNJALAU 2026-01-14 74.0 74.8 73.7 74.17 51316 81.73 81.83
ONGC 2026-01-14 243.99 251.0 243.58 248.23 33094088 241.7 241.91
RAMCOCEM 2026-01-14 1086.9 1088.3 1061.5 1064.4 218897 1035.96 1036.07
RPGLIFE 2026-01-14 2281.1 2320.1 2281.0 2314.1 3447 2308.07 2308.4
RUBYMILLS 2026-01-14 206.0 209.8 204.5 204.87 6492 221.38 221.9
SANGHIIND 2026-01-14 63.38 64.75 63.07 64.33 387325 63.68 63.68

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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