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 27181266.6766.6710.281.508.78
CanadaCSE 78256234372.7660.289.142.976.17
JapanSAPPORO 2010850.0080.005.900.305.60
USOTC PINK 143119884550069.6555.186.892.884.01
PakistanKSE 32962495152775.7061.204.771.263.50
Vietnam HNX 110768637561.9754.664.311.243.07
IndiaNSE 28135210061229774.7058.514.091.222.88
South KoreaKOSDAQ 2161115341923071.1060.073.941.162.78
IndiaBSE 33790248701410273.6156.694.191.432.76
OmanMSM 102724170.5956.943.901.222.68
Poland GPW 40122712154767.9056.793.621.072.55
ArgentinaBUE 104771339969.6354.733.721.232.49
USNASDAQ 39037262121420067.6153.803.631.262.37
Hong KongHKEX 1821812313669467.7754.223.571.202.37
EgyptEGX 1578116965574.0856.033.661.302.36
CanadaTSX-V 32272199111068.5250.205.242.882.36
IndonesiaIDX 52573610200868.6755.623.411.052.36
TurkeyBIST 85785769316167.2554.793.281.002.29
ChinaSZSE 2140414898828469.6055.603.391.172.22
Saudi ArabiaTADAWUL 23521707100373.1358.313.010.802.20
KuwaitKSE 50833619166.1456.853.241.052.19
NorwayOSE 2637174589266.3351.003.411.322.09
SwedenSTOCKHOLM 109347385398967.5454.
IsraelTASE 44093169175871.8855.473.041.032.02
JordanASE 2591568860.2356.413.011.002.01
ChinaSSE 144259847545168.2655.363.031.032.00
PortugalLISBON 36325913971.3553.672.840.842.00
South KoreaKRX 1898812813738267.6257.492.830.861.98
TaiwanGTSM 109697697432570.1756.192.850.871.97
UKLSE 2298215423819067.1953.042.900.941.96
BangladeshDSE 47623359188570.5456.
MalaysiaBURSA 59873929204965.6352.
Vietnam HOSE 35042340128766.7855.002.971.051.93
The World 59171440371321758468.3253.822.991.081.91
USAMEX 53263595178967.5049.763.251.411.84
ThailandSET 92826017298064.8249.532.841.001.84
UAEUAE 43827813963.4750.002.871.031.84
QatarQE 42329516769.7456.612.640.831.81
FrancePARIS 96106543369968.3156.342.590.801.79
PhilippinesPSE 2659180797467.9653.902.700.981.73
SpainIBEX 1871131774470.3956.492.671.011.66
RussiaMICEX 27301883101669.2753.732.400.831.57
MexicoBMV 2315159284268.7752.892.360.901.47
AustraliaASX 122637864371564.1747.212.931.481.45
CanadaTSX 1601610632536766.4050.472.410.981.43
JapanTOKYO 49129326341694566.4351.922.521.091.43
Greece ATHENS 87057327565.8647.992.931.501.43
DenmarkCOPENHAGEN 1596106352766.6049.582.360.961.40
JapanNAGOYA 42125012659.3850.402.721.361.37
TaiwanTWSE 1704711537599567.6851.962.160.821.34
BelgiumBRUSSELS 148398050566.0851.532.010.771.23
USNYSE 49261329181639166.8949.742.040.831.21
BrazilBOVESPA 54773548168065.0047.192.331.201.14
Austria WIENERBORSE 74447724264.1150.732.050.961.10
JapanFUKUOKA 110663360.0050.001.610.521.09
BrazilBOVESPA 26818611769.4062.901.460.381.09
PortugalLISBON 30620813467.9764.421.260.181.08
ItalyBORSA 104807298365569.6850.051.900.831.07
SingaporeSGX 2991184581361.6944.
NetherlandsAMSTERDAM 29071976103667.9752.431.700.651.05
ChileBCS 117679545167.6056.731.520.501.03
GermanyXETRA 142839719492568.1450.611.780.790.98
SpainIBEX 38025515567.1160.781.180.210.97
ChileBCS 43029119067.6765.
CanadaTSX 32723815472.7864.711.130.220.92
TurkeyBIST 29517410558.9860.341.200.320.87
MexicoBMV 38228018173.3064.641.150.290.87
RussiaMICEX 2361669470.3456.631.270.400.87
Greece ATHENS 28418311564.4462.841.050.220.84
UKLSE 40427816168.8157.911.010.260.75
TaiwanGTSM 25616810165.6360.120.920.170.75
MalaysiaBURSA 2531599862.8561.640.930.190.74
UAEUAE 44232620373.7662.270.930.210.72
ArgentinaBUE 27118011166.4261.671.080.360.72
JapanTOKYO 32421113165.1262.090.960.240.72
SwitzerlandSIX 48443185147965.7546.441.430.720.72
Austria WIENERBORSE 2511649965.3460.370.960.240.71
GermanyXETRA 27217810765.4460.110.920.210.71
IsraelTASE 30021513471.6762.330.920.240.68
ItalyBORSA 28918611064.3659.140.920.250.68
FrancePARIS 28918611064.3659.140.920.250.68
NetherlandsAMSTERDAM 31120712366.5659.420.850.200.64
BelgiumBRUSSELS 31120712366.5659.420.850.200.64
SwitzerlandSIX 27817910164.3956.420.900.270.63
ChinaSSE 25417610269.2957.950.770.150.62
AustraliaASX 31123014373.9562.170.800.190.62
PakistanKSE 30318811162.0559.040.880.270.62
ThailandSET 35424816070.0664.520.740.130.61
Hong KongHKEX 24919612278.7162.240.790.170.61
IndiaNSE 24517610271.8457.950.720.140.57
Poland GPW 28817610761.1160.800.800.230.56
DenmarkCOPENHAGEN 26918511068.7759.460.750.190.56
FOREXFOREX 45032816972.8951.520.920.380.54
South KoreaKOSDAQ 38826215767.5359.920.760.220.54
NorwayOSE 30920511666.3456.590.800.250.54
USFOREX 55939522970.6657.970.710.180.53
PhilippinesPSE 30620611567.3255.830.660.150.50
Vietnam HOSE 26718110967.7960.220.660.170.49
SwedenSTOCKHOLM 35725814072.2754.260.690.270.42
IndonesiaIDX 2191418364.3858.870.630.240.39
USPREFERRED 40652492102361.3041.050.800.440.36
BangladeshDSE 3182029663.5247.520.550.220.33
SingaporeSGX 33523512270.1551.910.490.180.31
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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