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 appears in an uptrend and consists of a white candlestick and a black candlestick in which the black candlestick opens below the preceding day’s close and closes below its open. The pattern looks similar to the Bearish Harami pattern. The only difference is that the second day closes lower, which stops the engulfing of the black body by the preceding white body.
Recognition Criteria
1. The market is characterized by a prevailing uptrend.
2. A white body is observed on the first day.
3. The black body that is formed on the second day opens lower than the first day’s close and closes lower than the first day’s open.
Pattern Requirements and Flexibility
The Bearish One Black Crow consists of a white candlestick followed by a black candlestick. The length of both candlesticks should not be short. The second day opens below the close of the preceding day and the close is below the opening price of the first day.
Trader’s Behavior
An uptrend is in progress and the strong white candlestick seen on the first day increases the bullishness that is already present. As the second day opens lower than the close, the bulls are alarmed. Prices fall to the point, where the close drops below the previous day’s open. The uptrend is damaged. If prices keep on falling on the following days, a major reversal of the trend takes place.
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 1/1/2017
Stock Exchange 
Per Trade 
Total Net% Descending
USOTCBB 64366.6775.0032.750.7532.00
CanadaCSE 1541147677.9263.3310.082.107.98
JapanSAPPORO 553100.0060.008.601.007.60
Vietnam HNX 1901238264.7466.674.890.963.93
CanadaTSX-V 50633019265.2258.185.882.373.51
ChinaSSE 120238153477067.8158.514.611.243.37
ChinaSZSE 1724911693678967.7958.064.671.403.27
South KoreaKOSDAQ 57034050255371.0962.974.541.323.22
IndonesiaIDX 59741926770.1863.724.050.853.20
Saudi ArabiaTADAWUL 80755934469.2761.543.820.753.07
Hong KongHKEX 49223366191068.3956.744.081.232.85
Vietnam HOSE 55937921967.8057.783.800.972.83
Poland GPW 106469140064.9457.893.790.982.81
RussiaMICEX 67443365.6775.002.860.182.68
TurkeyBIST 117282547570.3957.583.721.052.67
IndiaNSE 73905359307272.6057.263.871.212.66
IndiaBSE 88406378360572.1556.523.991.392.59
EgyptEGX 57042623574.7455.163.861.312.55
TaiwanGTSM 2212162795873.5558.883.511.002.51
IsraelTASE 105478045874.0058.723.380.932.45
USOTC PINK 69944751240968.8650.024.702.332.36
PakistanKSE 104176944773.8758.133.591.252.33
KuwaitKSE 78452457.6953.333.871.582.29
ThailandSET 88958331665.5854.203.210.962.26
QatarQE 1571086868.7962.962.870.622.25
USNASDAQ 2384215763832166.1552.763.491.252.24
JordanASE 84583169.0553.452.950.762.19
SingaporeSGX 57436319263.2452.893.100.962.13
NorwayOSE 72949926568.4553.
USAMEX 2323148577163.9351.923.211.152.05
South KoreaKRX 60124168238669.3357.252.990.982.02
The World 2489381693789205268.0854.313.091.092.01
OmanMSM 443100.0075.
JapanTOKYO 2501217062971068.2256.913.061.081.99
MalaysiaBURSA 92256430861.1754.612.840.881.96
TaiwanTWSE 35232447137169.4656.032.780.861.92
BangladeshDSE 137396055369.9257.602.941.021.92
Greece ATHENS 158914857.5952.753.021.121.90
SpainIBEX 66747025670.4654.472.590.711.87
USWARRANTS 2317873.9147.063.591.761.82
JapanNAGOYA 88573364.7757.892.881.091.79
Austria WIENERBORSE 37424913566.5854.222.630.861.78
SwedenSTOCKHOLM 2566169688866.1052.362.851.171.67
CanadaTSX 73564905258566.6852.702.560.941.62
PortugalLISBON 134995673.8856.572.360.751.62
PhilippinesPSE 43327315763.0557.512.300.731.57
USNYSE 33351222441148466.7051.632.450.931.53
BrazilBOVESPA 2022134365666.4248.852.621.201.42
ItalyBORSA 48593456176171.1350.952.481.091.39
RussiaMICEX 84256130366.6354.012.240.851.39
ArgentinaBUE 2291517665.9450.332.751.361.38
FrancePARIS 42722946153968.9652.242.220.871.35
DenmarkCOPENHAGEN 49632016864.5252.502.180.861.32
AustraliaASX 37422405120464.3050.042.431.131.30
ChileBCS 37261570.2757.692.651.381.27
JapanFUKUOKA 23141160.8778.571.430.211.21
UKLSE 81775587276468.4149.412.201.021.18
TurkeyBIST 1581055066.4647.621.610.501.10
UAEUAE 88624170.4566.131.350.271.08
MexicoBMV 164875353.0560.921.440.431.01
JapanTOKYO 80603875.0063.331.250.300.95
GermanyXETRA 70184841228969.0147.261.890.950.94
UAEUAE 122754161.4854.672.171.270.91
NetherlandsAMSTERDAM 126788743170.0148.591.750.840.91
USFOREX 107754870.0964.
BelgiumBRUSSELS 62042319968.2347.041.740.870.87
ChileBCS 114755365.7970.671.160.290.87
PortugalLISBON 47372278.7259.461.050.190.86
ArgentinaBUE 106674263.2162.691.100.270.84
IndiaNSE 74543572.9764.810.960.150.81
MexicoBMV 108273635168.0247.691.871.080.79
Greece ATHENS 47362276.6061.110.970.190.78
NetherlandsAMSTERDAM 44342177.2761.760.970.210.76
BelgiumBRUSSELS 44342177.2761.760.970.210.76
GermanyXETRA 43332076.7460.610.970.210.76
FrancePARIS 44332075.0060.610.970.210.76
ItalyBORSA 44332075.0060.610.970.210.76
Austria WIENERBORSE 42321976.1959.380.970.220.75
BrazilBOVESPA 101654064.3661.541.090.370.72
SpainIBEX 48362275.0061.110.970.250.72
SwedenSTOCKHOLM 137976170.8062.890.900.190.71
IsraelTASE 96805383.3366.250.850.180.68
SwitzerlandSIX 2321151767865.3644.691.480.810.67
DenmarkCOPENHAGEN 65472972.3161.700.890.230.66
USPREFERRED 1694106949863.1146.591.060.400.66
PakistanKSE 74452060.8144.441.000.380.62
IndonesiaIDX 80503162.5062.000.840.220.62
MalaysiaBURSA 94683772.3454.410.850.240.62
ThailandSET 94654069.1561.540.710.110.60
NorwayOSE 114805470.1867.500.850.280.58
TaiwanGTSM 65392060.0051.280.690.150.54
BangladeshDSE 64402562.5062.500.750.230.53
South KoreaKOSDAQ 62462574.1954.350.850.370.48
FOREXFOREX 123854669.1154.121.070.600.47
SingaporeSGX 69472768.1257.450.680.210.47
Vietnam HOSE 69432462.3255.810.880.420.47
PhilippinesPSE 93663770.9756.060.610.150.45
UKLSE 96684470.8364.710.760.350.41
AustraliaASX 94643368.0951.560.660.250.41
Poland GPW 84673779.7655.220.570.190.37
Hong KongHKEX 72523072.2257.690.620.310.31
ChinaSSE 76563173.6855.360.570.320.25
CanadaTSX 89613368.5454.100.510.260.25
SwitzerlandSIX 63422166.6750.000.670.570.10
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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