The chart showing Series 1 series.
To see the performance of the pattern in your stock exchange in the context of other stock markets please examine the table below. Find your stock market there and see how it ranks among the others. This will give you an idea about the pattern’s strength and reliability and help you in your selling decisions.
This pattern is characterized by a large black body engulfing a preceding smaller white body, which appears during an uptrend. The black body does not necessarily engulf the shadows of the white body but totally engulfs the body itself. This is an important top reversal signal.
Recognition Criteria
1. The market is characterized by a prevailing uptrend.
2. A white body is formed observed on the first day.
3. The black body that is formed on the second day completely engulfs the white body of the preceding day.
Pattern Requirements and Flexibility
The length of the first white candlestick is not important. It can even be a Doji. The second one, however, has to be a normal or long black candlestick. Either the body tops or the body bottoms of the two candlesticks may be at the same level, but in any case, the black body of the Bearish Engulfing Pattern should be longer than the previous white body.
Trader’s Behavior
While the market is characterized by a definite uptrend, lower volume of buying is observed with the occurrence of a white body on the first day. The next day, the market opens at new highs. It looks as if there’s going to be more bullish trading, however the uptrend loses momentum and the bears take the lead during the day. The selling pressure overcomes buying and finally the market closes below the open of the previous day. The uptrend is damaged.
Sell/Stop Loss Levels
The confirmation level is defined as the last close. Prices should cross below this level for confirmation.

The stop loss level is defined as the last high. Following the bearish signal, if prices go up instead of going down, and close or make two consecutive daily highs above the stop loss level, while no bullish pattern is detected, then the stop loss is triggered.
Pattern Performance in Stock Exchanges since 1/1/2016
Stock Exchange 
Per Trade 
Total Net% Descending
USOTCBB 31211867.7485.7118.050.4317.62
USWARRANTS 2113861.9061.549.081.157.92
JapanSAPPORO 2010850.0080.005.900.305.60
CanadaCSE 54939123071.5858.528.783.605.19
USOTC PINK 112117716426369.4454.766.833.013.82
PakistanKSE 28722166128775.4259.424.461.303.15
Vietnam HNX 102063934262.6553.524.241.282.96
IndiaNSE 23848178041036074.6958.163.961.212.75
Poland GPW 33652267128667.7056.453.801.082.72
South KoreaKOSDAQ 1783212618756270.8159.893.861.152.70
OmanMSM 80613776.2560.663.971.312.66
USAMEX 30862100110268.0552.484.301.662.64
IndiaBSE 28931213061195073.6656.084.021.452.57
KuwaitKSE 40025915564.7559.853.541.042.50
TurkeyBIST 69284694256967.7554.733.320.982.34
USNASDAQ 31830213211151667.1353.893.581.272.31
Hong KongHKEX 1520510208553167.1454.183.501.202.31
IndonesiaIDX 41542886158969.4855.
ChinaSZSE 1566711002608770.2255.333.361.152.21
Saudi ArabiaTADAWUL 2022148185773.2457.873.020.842.18
NorwayOSE 2161144674367.0151.313.471.322.16
CanadaTSX-V 2919197897367.8349.
TaiwanGTSM 88556208354070.1157.022.960.862.11
UAEUAE 38224813064.9252.423.040.992.05
ArgentinaBUE 88360232069.6552.033.321.272.05
IsraelTASE 35672553142671.5755.863.051.012.03
EgyptEGX 132496252972.6654.993.401.392.02
PortugalLISBON 28319910770.3253.772.890.882.01
ChinaSSE 102396939378967.7754.603.001.011.99
Vietnam HOSE 28751916103266.6453.863.111.121.99
SwedenSTOCKHOLM 86925908316967.9753.643.121.151.98
UKLSE 1859212406660066.7853.162.920.971.95
MalaysiaBURSA 48613189164365.6051.523.011.081.93
South KoreaKRX 1538010374598467.4457.692.750.861.89
The World 48061232776417664768.2553.852.971.091.88
JordanASE 2331457462.2351.
FrancePARIS 75775229298069.1356.892.560.771.79
ThailandSET 77074986249464.6950.022.801.021.78
QatarQE 32922813369.3058.332.610.861.75
PhilippinesPSE 2202149979068.0752.702.721.021.70
RussiaMICEX 2201153483370.1053.992.520.851.67
SpainIBEX 1596111962270.1155.592.641.051.59
BangladeshDSE 38932718147969.8254.422.701.151.55
TaiwanTWSE 135999219490167.7953.162.260.791.48
JapanTOKYO 39896265331381066.5352.032.571.111.46
Greece ATHENS 70845623064.4150.442.881.461.43
JapanNAGOYA 38022611159.4749.122.861.431.42
AustraliaASX 100786478306264.3147.252.901.501.40
MexicoBMV 1966136572869.4353.332.280.901.38
BelgiumBRUSSELS 118977440665.1052.452.080.731.35
CanadaTSX 130348614430966.1949.952.340.991.34
DenmarkCOPENHAGEN 128284742266.0749.822.270.961.30
JapanFUKUOKA 89552961.8052.731.750.511.24
SingaporeSGX 2538158470962.4144.762.291.071.22
ItalyBORSA 84235858299969.5551.192.060.861.20
BrazilBOVESPA 23516710671.0663.471.560.371.19
BrazilBOVESPA 42972809132665.3747.212.431.241.18
USNYSE 39953265011315966.3549.642.020.851.18
Austria WIENERBORSE 51532216162.5250.002.100.951.14
PortugalLISBON 27018612068.8964.521.310.191.12
CanadaTSX 27619613271.0167.351.230.181.05
NetherlandsAMSTERDAM 2275155382468.2653.061.720.691.03
GermanyXETRA 110577567387268.5251.111.810.801.01
SpainIBEX 33822713867.1660.791.220.221.00
ChileBCS 37726017268.9766.
ChileBCS 103368237566.0254.991.500.530.97
RussiaMICEX 2051408168.2957.861.340.390.95
MexicoBMV 32323715773.3766.
Greece ATHENS 25316610565.6163.
UKLSE 33523014068.6660.871.080.240.84
ArgentinaBUE 2201519568.6462.911.100.260.84
TurkeyBIST 2421539163.2259.481.160.340.82
MalaysiaBURSA 2241399162.0565.470.990.170.81
Austria WIENERBORSE 2241499166.5261.
TaiwanGTSM 2151398364.6559.710.950.180.77
UAEUAE 38628617974.0962.590.980.210.77
GermanyXETRA 2401599766.2561.010.990.220.77
JapanTOKYO 27718411866.4364.
SwitzerlandSIX 38202515117965.8446.881.470.720.75
FrancePARIS 25516610065.1060.240.990.240.75
ItalyBORSA 25516610065.1060.240.990.240.75
SwitzerlandSIX 2391488461.9256.760.990.270.72
NetherlandsAMSTERDAM 27418411367.1561.410.910.200.71
BelgiumBRUSSELS 27418411367.1561.410.910.200.71
AustraliaASX 26519512373.5863.080.880.190.69
ChinaSSE 2151488968.8460.140.810.140.67
Hong KongHKEX 21616610376.8562.050.830.170.66
IsraelTASE 26919512272.4962.560.900.240.66
Poland GPW 2561539859.7764.050.850.210.64
DenmarkCOPENHAGEN 2351609768.0960.630.810.180.63
NorwayOSE 26217410366.4159.200.840.240.60
PakistanKSE 2451478660.0058.500.840.240.60
FOREXFOREX 39127714370.8451.620.970.370.60
IndiaNSE 2081508672.1257.330.720.130.59
ThailandSET 29620112567.9162.190.730.140.58
South KoreaKOSDAQ 34623414367.6361.110.790.210.58
USPREFERRED 3154195987362.1144.561.000.430.57
Vietnam HOSE 2191448765.7560.420.710.150.56
USFOREX 49034619370.6155.780.730.190.53
PhilippinesPSE 25617210067.1958.140.690.160.52
IndonesiaIDX 1821157363.1963.480.710.210.50
SwedenSTOCKHOLM 29320811770.9956.250.750.280.48
BangladeshDSE 2601638362.6950.920.640.180.46
SingaporeSGX 28820310970.4953.690.520.160.36
Patterns Total: How many of this particular pattern has been detected in this period
Confirmed Total: How many of the detected patterns were confirmed and converted into signals
Profitable Signals: The number of the confirmed patterns that have given profitable trades
Confirmation %: The percentage of the confirmed patterns with respect to the total occurrences of this pattern
Profitable Signal %: The percentage of the successful confirmed patterns with respect to the total confirmed patterns
Per Trade Profit %: Total Profits / Total Trades
Per Trade Loss %: Total Losses / Total Trades
Per Trade Net%: (Total Profits–Total Losses) / Total Number of Trades
Samples: Live sample ticker symbols from stock exchanges with links to stock pages of the related© family websites


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