All NSE Stocks with 5 EMA Crossing Below 20 EMA

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 ema_5 ema_20
AFFLE 2026-01-14 1719.0 1741.0 1715.1 1734.2 61442 1750.48 1755.41
AJANTPHARM 2026-01-14 2739.0 2739.0 2659.4 2706.4 213763 2749.62 2749.68
AUTOBEES 2026-01-14 287.5 287.5 284.07 285.26 365083 287.8 288.24
AUTOIETF 2026-01-14 28.73 28.73 28.39 28.53 603617 28.82 28.87
CHOLAFIN 2026-01-14 1690.1 1714.7 1681.0 1689.5 2111292 1713.06 1720.59
CREDITACC 2026-01-14 1295.3 1324.4 1278.9 1284.1 272566 1297.89 1299.87
DEEDEV 2026-01-14 213.3 215.11 208.0 208.7 103840 213.41 214.59
DIVISLAB 2026-01-14 6405.0 6462.0 6345.5 6355.5 524643 6457.02 6462.57
ESCORTS 2026-01-14 3713.0 3720.1 3655.0 3690.0 64350 3756.86 3769.99
FAIRCHEMOR 2026-01-14 706.85 709.9 689.05 699.9 8716 710.1 711.16
GLOBUSSPR 2026-01-14 1015.2 1027.7 962.1 967.0 210054 1021.43 1039.41
GRSE 2026-01-14 2440.0 2479.8 2424.0 2431.0 606996 2453.68 2459.17
HAPPYFORGE 2026-01-14 1104.8 1104.8 1080.5 1094.7 18478 1109.11 1111.92
HDFCLOWVOL 2026-01-14 21.48 21.51 21.33 21.43 309840 21.53 21.54
HPIL 2026-01-14 137.01 137.65 132.5 133.21 4336 135.3 135.88
IDFCFIRSTB 2026-01-14 82.96 83.41 82.3 83.07 13353054 84.02 84.17
IREDA 2026-01-14 139.0 141.75 137.7 138.1 8600026 139.84 139.96
JBMA 2026-01-14 607.05 611.0 596.6 600.9 427796 612.26 616.06
JUSTDIAL 2026-01-14 730.15 732.9 717.0 719.7 225369 725.4 727.31
KPIGREEN 2026-01-14 445.8 448.65 431.25 432.95 994201 447.24 451.26
LGHL 2026-01-14 300.0 300.0 288.2 289.5 131328 295.75 295.76
LOWVOL1 2026-01-14 22.0 22.0 21.81 21.87 320359 21.97 21.99
LOWVOLIETF 2026-01-14 23.19 23.19 22.96 23.0 907209 23.12 23.15
M&M 2026-01-14 3663.0 3682.0 3635.1 3649.5 1573135 3678.78 3688.46
MNC 2026-01-14 31.21 31.33 30.91 31.1 59023 31.18 31.19
MOLOWVOL 2026-01-14 38.86 38.98 38.63 38.63 747 38.87 38.95
MPHASIS 2026-01-14 2876.1 2882.9 2773.7 2788.8 363314 2826.84 2837.16
NAM-INDIA 2026-01-14 888.0 890.85 861.85 864.05 726402 877.08 878.07
NAVNETEDUL 2026-01-14 144.87 144.87 143.47 143.62 20256 146.36 147.04
NDTV 2026-01-14 93.0 93.5 90.62 91.99 318214 93.1 93.18
NIFTYQLITY 2026-01-14 22.34 22.34 21.99 22.02 14229 22.14 22.18
ORIENTTECH 2026-01-14 371.6 379.5 365.75 368.5 1700434 377.26 380.07
PARAS 2026-01-14 677.2 683.45 670.0 671.5 269192 679.3 681.17
POLYCAB 2026-01-14 7328.0 7538.0 7303.5 7323.5 1655893 7544.66 7577.41
POWERMECH 2026-01-14 2311.3 2311.3 2236.5 2259.9 151469 2305.21 2316.26
PRITIKAUTO 2026-01-14 13.5 13.72 12.76 13.21 303360 13.71 13.84
PVTBANIETF 2026-01-14 28.72 28.95 28.64 28.77 187155 28.84 28.85
RADHIKAJWE 2026-01-14 75.0 76.3 74.03 74.63 117333 75.71 75.99
RAMCOIND 2026-01-14 317.0 317.0 304.55 306.3 88363 315.09 316.55
RELIGARE 2026-01-14 240.5 246.47 240.5 243.51 424792 246.8 246.85
REPCOHOME 2026-01-14 406.6 409.5 404.9 407.3 36800 411.39 412.17
RPGLIFE 2026-01-14 2281.1 2320.1 2281.0 2314.1 3447 2320.14 2320.2
SAGARDEEP 2026-01-14 26.36 27.35 26.36 26.76 9930 27.08 27.08
SAILIFE 2026-01-14 900.1 912.1 893.55 905.3 183433 914.59 915.37
SAMPANN 2026-01-14 32.43 33.95 32.2 33.01 30992 33.48 33.6
SANDUMA 2026-01-14 227.92 235.83 227.43 232.41 2908187 233.9 234.24
SASKEN 2026-01-14 1396.6 1397.7 1360.1 1362.1 13036 1411.3 1419.19
SBIETFPB 2026-01-14 292.86 292.92 289.44 291.49 2080 291.58 291.59
SBIETFQLTY 2026-01-14 230.98 231.33 229.2 230.46 7352 231.15 231.33
SBINEQWETF 2026-01-14 33.44 33.67 33.4 33.5 6927 33.55 33.55
SCHAND 2026-01-14 159.69 162.96 156.25 157.66 44900 160.65 161.57
SENORES 2026-01-14 812.95 820.95 797.6 803.15 118718 815.01 818.77
SHARIABEES 2026-01-14 519.16 520.0 513.0 515.47 6013 516.52 516.65
SHRIPISTON 2026-01-14 3017.2 3075.1 2970.0 2989.9 79273 3100.81 3139.73
SMCGLOBAL 2026-01-14 84.5 86.25 83.23 85.51 539692 86.35 86.45
SOMANYCERA 2026-01-14 412.2 419.6 395.2 397.8 52973 407.28 410.46
SUNCLAY 2026-01-14 1229.0 1259.0 1225.0 1235.5 6967 1248.63 1250.58
TATATECH 2026-01-14 664.75 664.75 645.0 646.65 1158638 654.05 655.91
TBZ 2026-01-14 165.5 167.4 163.25 164.84 404916 166.7 167.15
TCS 2026-01-14 3260.0 3260.0 3183.0 3192.5 3539511 3227.37 3233.75
THERMAX 2026-01-14 2951.0 2986.2 2940.5 2971.8 28572 2989.35 2989.86
TVSHLTD 2026-01-14 14193.0 14266.0 14065.0 14146.0 3160 14426.02 14452.45
TVTODAY 2026-01-14 138.0 138.0 134.05 135.3 84048 137.6 138.32
VINCOFE 2026-01-14 158.05 162.78 155.05 157.95 1904616 161.51 161.72
VIPIND 2026-01-14 373.1 374.7 359.3 363.1 538399 373.92 376.45
WIPRO 2026-01-14 264.0 264.0 259.6 260.2 5625861 262.76 263.24
ZYDUSWELL 2026-01-14 439.0 445.0 432.65 443.8 105709 447.21 447.28

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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