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 a small white body contained by a prior relatively long white body. It resembles the Harami pattern, except that both bodies are white.
Recognition Criteria
1. The market is characterized by a prevailing uptrend.
2. A white body is observed on the first day.
3. On the second day, we again see a white body which is completely engulfed by the body of the first day.
Pattern Requirements and Flexibility
The Bearish Descending hawk consists of two white candlesticks, in which the first day’s white body engulfs the following white body. The first one has to be a normal or long white candlestick. Either the body tops or the body bottoms of the two candlesticks may be at the same level, but whatever the case, the body of the second day should be smaller than the first.
Trader’s Behavior
This pattern is a signal of disparity. In a market characterized by uptrend, we first see heavy buying indicated by the white body of the first day. However, a smaller body that appears on the second day points to the diminished power and enthusiasm of the buyers thus suggesting a trend reversal.
Sell/Stop Loss Levels
The confirmation level is defined as the last close or the midpoint of the previous white body, whichever is lower. Prices should cross below this level for confirmation.

The stop loss level is defined as the higher of the last two highs. 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 25201280.0060.0011.801.4010.40
CanadaCSE 1631107268.1064.866.242.643.60
USWARRANTS 3215746.8846.677.474.203.27
South KoreaKOSDAQ 42292288133454.1358.
ChinaSZSE 112116252359255.7757.453.821.222.61
UKLSE 105450.0080.002.800.202.60
JapanSAPPORO 52240.00100.002.500.002.50
IndiaNSE 57953175177554.8955.803.731.322.41
JapanFUKUOKA 3815839.4753.333.070.672.40
ChinaSSE 83334629260555.5556.283.471.112.37
QatarQE 39220511652.3056.592.800.582.21
Hong KongHKEX 77674410224156.9150.703.461.312.15
IsraelTASE 119264336653.9456.923.140.992.14
PakistanKSE 124068939655.5657.473.541.422.12
CanadaTSX-V 81752127064.0151.634.982.902.08
Poland GPW 127970839555.7555.403.191.172.02
ArgentinaBUE 2901497951.3853.023.651.681.97
USNASDAQ 129916907359453.4251.793.061.141.91
IndiaBSE 107516000312555.8452.063.661.761.90
ThailandSET 90752827158.2151.332.720.901.82
OmanMSM 64366.6775.002.500.751.75
USOTC PINK 95555776275160.7047.434.592.861.73
IndonesiaIDX 79745923057.5950.113.011.321.69
South KoreaKRX 52742961163656.1655.232.490.831.66
EgyptEGX 48227614457.2652.173.201.551.65
SwedenSTOCKHOLM 2330128764455.2450.043.051.461.59
Saudi ArabiaTADAWUL 60132617654.4153.822.200.661.54
The World 2010341120455613055.8050.032.671.171.50
SingaporeSGX 42150.0050.001.500.001.50
SpainIBEX 68437119654.2452.832.270.811.46
Vietnam HOSE 123268134755.2850.952.420.971.45
TurkeyBIST 58531415553.6849.362.541.111.43
USAMEX 2173121356555.8246.582.521.121.40
JapanTOKYO 1899310711554156.3951.732.541.161.38
MalaysiaBURSA 170998145857.4046.692.290.961.33
TaiwanGTSM 2630151873557.7248.422.321.011.31
TaiwanTWSE 3524199297256.5348.802.060.771.29
SwitzerlandSIX 127458.3357.
FrancePARIS 3379181188453.6348.791.810.771.05
CanadaTSX 62443413162254.6647.521.860.831.03
JapanNAGOYA 155994363.8743.431.880.851.03
Austria WIENERBORSE 48423111247.7348.481.880.871.02
Vietnam HNX 41523710557.1144.302.321.311.01
AustraliaASX 3654211493957.8844.402.111.111.00
DenmarkCOPENHAGEN 21150.00100.
USNYSE 1892310476489855.4046.721.810.820.99
MexicoBMV 93652324855.8847.421.971.010.96
ItalyBORSA 51122938132857.6345.081.790.860.93
BelgiumBRUSSELS 52929914956.5249.831.560.640.92
BangladeshDSE 164596347958.5449.742.001.090.90
UKLSE 114696080278353.1345.671.921.030.89
DenmarkCOPENHAGEN 51026811352.5542.161.901.030.86
PortugalLISBON 144763152.7840.792.531.680.84
SingaporeSGX 63135914256.8939.551.831.040.80
GermanyXETRA 62523590165657.5346.041.600.810.79
RussiaMICEX 111363429357.2346.001.861.080.78
IndiaNSE 84350.0075.000.750.000.75
USFOREX 2315965.2260.000.730.000.73
NorwayOSE 113227.2766.670.670.000.67
MexicoBMV 53260.0066.670.670.000.67
JordanASE 152944561.8447.871.991.340.65
NetherlandsAMSTERDAM 117661826052.5542.071.260.610.65
NorwayOSE 69136117152.8246.852.181.580.60
KuwaitKSE 3492118860.4641.712.121.530.59
IsraelTASE 119581.8255.561.110.560.56
BrazilBOVESPA 144475832252.7042.311.881.380.50
RussiaMICEX 32266.67100.000.500.000.50
PhilippinesPSE 58933214556.3743.671.721.230.48
SwitzerlandSIX 2572144661956.2242.811.110.650.45
Greece ATHENS 54723411842.7850.431.861.410.45
UAEUAE 2811707060.5041.181.711.280.43
ThailandSET 95355.5660.000.400.000.40
USPREFERRED 3809209388554.9542.280.750.360.39
ChileBCS 2816957.1456.250.690.380.31
South KoreaKOSDAQ 114236.3650.000.500.250.25
AustraliaASX 149364.2933.330.440.220.22
PhilippinesPSE 36171047.2258.820.180.000.18
ChinaSSE 2112757.1458.330.250.080.17
BangladeshDSE 216228.5733.330.170.000.17
SwedenSTOCKHOLM 117363.6442.860.570.430.14
PakistanKSE 4716734.0443.750.380.250.13
ArgentinaBUE 2110647.6260.000.300.200.10
TurkeyBIST 61016.670.
Poland GPW 82125.0050.
PortugalLISBON 1000.
MalaysiaBURSA 103230.0066.670.330.330.00
NetherlandsAMSTERDAM 1000.
UAEUAE 42250.00100.
ItalyBORSA 1000.
FrancePARIS 1000.
SpainIBEX 2000.
Greece ATHENS 1000.
GermanyXETRA 1000.
ChileBCS 71114.29100.
CanadaTSX 43175.0033.330.000.000.00
BelgiumBRUSSELS 1000.
Austria WIENERBORSE 1000.
TaiwanGTSM 85362.5060.000.400.60-0.20
Vietnam HOSE 147450.0057.140.140.43-0.29
IndonesiaIDX 137153.8514.290.140.57-0.43
FOREXFOREX 147350.0042.860.431.14-0.71
JapanTOKYO 52040.
BrazilBOVESPA 32166.6750.000.502.00-1.50
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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