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 1/1/2016
Stock Exchange 
Per Trade 
Total Net% Descending
USOTCBB 64366.6775.0032.750.7532.00
CanadaCSE 1441067279.1763.169.872.117.75
JapanSAPPORO 553100.0060.008.601.007.60
OmanMSM 119781.8277.786.670.676.00
Vietnam HNX 2021258461.8867.205.641.204.44
KuwaitKSE 82512962.2056.864.761.163.61
South KoreaKOSDAQ 67634811306471.1563.674.481.263.22
Saudi ArabiaTADAWUL 102972046469.9764.443.890.683.21
CanadaTSX-V 54837121067.7056.605.462.263.20
ChinaSSE 1556910334602966.3858.344.221.173.05
ChinaSZSE 2217014789857166.7157.964.321.303.01
IndonesiaIDX 68347429769.4062.663.870.853.01
Poland GPW 125781947965.1658.493.810.902.91
TurkeyBIST 129890252769.4958.433.800.952.85
Hong KongHKEX 58994051231168.6757.
TaiwanGTSM 25781897114073.5860.093.670.962.71
RussiaMICEX 67443365.6775.002.860.182.68
USOTC PINK 82815615289268.6150.904.792.202.59
JordanASE 113774468.1457.143.290.732.56
IsraelTASE 122590254273.8059.963.430.882.55
EgyptEGX 66250027875.5355.603.841.292.55
Vietnam HOSE 58039522768.1057.473.551.052.51
IndiaBSE 104977520420271.6455.883.911.462.45
IndiaNSE 84756119350872.2757.273.711.272.44
ThailandSET 105767736764.0554.213.401.022.38
USWARRANTS 26191073.0852.633.791.532.26
USNASDAQ 2750818240971066.3353.223.441.222.22
PakistanKSE 118385748972.4457.063.491.312.18
NorwayOSE 85558131967.9554.913.231.082.15
USAMEX 2684173791664.7252.733.261.172.10
BangladeshDSE 1543111165872.0059.233.050.992.05
QatarQE 1941368670.1063.242.720.682.04
MalaysiaBURSA 112370137762.4253.782.890.882.02
The World 29256919804710806767.7354.543.051.071.99
South KoreaKRX 72335020286869.4057.132.950.971.99
JapanNAGOYA 90603566.6758.333.021.051.97
SingaporeSGX 70143922962.6252.162.860.911.96
SpainIBEX 84659331770.0953.462.680.741.95
Greece ATHENS 2461497060.5746.983.311.391.92
JapanTOKYO 27546186011044867.5356.
PortugalLISBON 1851357772.9757.042.670.801.87
TaiwanTWSE 40082799156569.8455.912.720.851.86
Austria WIENERBORSE 42728215266.0453.902.670.841.83
SwedenSTOCKHOLM 2888190199065.8252.082.871.151.72
PhilippinesPSE 51932918763.3956.842.440.731.72
CanadaTSX 93896190332665.9353.732.580.871.71
RussiaMICEX 98165535666.7754.352.580.891.69
UAEUAE 1571005763.6957.003.121.471.65
BrazilBOVESPA 2519171486768.0450.582.751.131.62
ArgentinaBUE 2381528063.8752.632.811.201.61
USNYSE 40855271621417366.4852.182.410.881.52
FrancePARIS 51803522184967.9952.502.230.821.42
ItalyBORSA 60764237215069.7350.742.411.021.39
AustraliaASX 43402819144065.0051.052.471.101.36
JapanFUKUOKA 28171160.7164.711.650.351.29
DenmarkCOPENHAGEN 59136518161.7649.592.150.921.23
UKLSE 97776649333668.0850.122.200.981.22
TurkeyBIST 1521014866.4547.521.670.471.21
UAEUAE 88624170.4566.131.350.271.08
MexicoBMV 163875353.3760.921.440.431.01
JapanTOKYO 79593874.6864.411.270.271.00
NetherlandsAMSTERDAM 1620111856069.0150.091.780.790.99
BelgiumBRUSSELS 76753426469.6249.441.750.790.96
GermanyXETRA 86405893280168.2147.531.860.930.93
USFOREX 106754870.7564.
PortugalLISBON 46372280.4359.461.050.190.86
ArgentinaBUE 104664263.4663.641.120.270.85
MexicoBMV 123384141668.2149.461.851.030.82
IndiaNSE 71523473.2465.380.960.150.81
Greece ATHENS 46362278.2661.110.970.190.78
ChileBCS 113755366.3770.671.070.290.77
BrazilBOVESPA 100644064.0062.501.110.340.77
NetherlandsAMSTERDAM 43342179.0761.760.970.210.76
BelgiumBRUSSELS 43342179.0761.760.970.210.76
FrancePARIS 43332076.7460.610.970.210.76
GermanyXETRA 42332078.5760.610.970.210.76
ItalyBORSA 43332076.7460.610.970.210.76
Austria WIENERBORSE 41321978.0559.380.970.220.75
SwitzerlandSIX 2941191888265.2245.991.510.780.73
SpainIBEX 46362278.2661.110.970.250.72
SwedenSTOCKHOLM 135966171.1163.540.910.190.72
ChileBCS 39281571.7953.572.111.390.71
IsraelTASE 93785183.8765.380.860.180.68
MalaysiaBURSA 91653771.4356.920.890.230.66
DenmarkCOPENHAGEN 63472974.6061.700.890.230.66
PakistanKSE 73442060.2745.451.020.360.66
USPREFERRED 1837116454863.3647.081.010.380.63
ThailandSET 94644068.0962.500.720.110.61
IndonesiaIDX 78483061.5462.500.810.230.58
NorwayOSE 114805570.1868.750.840.280.56
TaiwanGTSM 64392060.9451.280.690.150.54
BangladeshDSE 64402562.5062.500.750.230.53
FOREXFOREX 121844669.4254.761.080.580.50
South KoreaKOSDAQ 61462575.4154.350.850.370.48
PhilippinesPSE 91643670.3356.250.630.160.47
SingaporeSGX 69472768.1257.450.680.210.47
AustraliaASX 92623367.3953.230.730.260.47
Vietnam HOSE 69432462.3255.810.880.420.47
UKLSE 95674470.5365.670.780.360.42
Poland GPW 84673779.7655.220.570.190.37
Hong KongHKEX 69503072.4660.000.640.320.32
ChinaSSE 74543072.9755.560.590.310.28
CanadaTSX 88603368.1855.000.520.250.27
SwitzerlandSIX 61402065.5750.000.700.580.13
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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