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 1/1/2017
Stock Exchange 
Per Trade 
Total Net% Descending
USOTCBB 25201280.0060.0011.801.4010.40
CanadaCSE 2011308065.1761.076.923.393.53
CanadaTSX-V 99463632963.9851.735.822.813.01
South KoreaKOSDAQ 59973277189954.7157.884.171.282.89
QatarQE 58130018351.6461.003.370.532.84
EgyptEGX 71341022557.5054.884.071.442.62
Hong KongHKEX 110916218322356.1351.783.971.392.59
ChinaSZSE 166009251508655.7354.984.071.502.57
ArgentinaBUE 36319311253.1758.034.221.682.54
JapanSAPPORO 52240.00100.002.500.002.50
ChinaSSE 120976671367055.1555.013.751.272.48
JapanFUKUOKA 49231346.9456.523.220.742.48
IndonesiaIDX 122668835656.1251.743.711.282.43
IndiaNSE 83754590245454.8153.463.911.492.43
UKLSE 105450.0080.002.600.202.40
USNASDAQ 2044211162582254.6052.163.591.282.31
ThailandSET 149788145558.8551.653.220.972.25
Saudi ArabiaTADAWUL 97650730151.9559.372.870.642.22
IsraelTASE 177493051352.4255.163.421.222.20
Poland GPW 1960108257655.2053.233.361.312.04
ChileBCS 63321850.7956.252.440.442.00
South KoreaKRX 75064153230255.3355.432.870.881.99
TurkeyBIST 89747722953.1848.013.171.321.84
USOTC PINK 139948451404960.8547.554.762.931.83
IndiaBSE 148708167412654.9250.523.771.951.82
The World 2981811658168397955.6550.613.041.231.81
PakistanKSE 171596651656.3353.423.331.531.80
SpainIBEX 100754429454.0254.042.660.871.79
TaiwanGTSM 40302262112356.1349.652.851.071.78
JapanTOKYO 2928816262868855.5253.432.871.121.74
TaiwanTWSE 52522889147055.0150.882.530.801.73
FrancePARIS 53202873145454.0050.612.510.791.73
CanadaTSX 98465377264254.6149.142.500.841.67
USAMEX 3285182989055.6848.662.821.161.66
OmanMSM 1711764.7163.642.360.731.64
USNYSE 2964516736825356.4549.312.490.861.63
SwedenSTOCKHOLM 3250183088756.3148.473.121.571.55
BrazilBOVESPA 2354127060553.9547.642.831.311.52
MalaysiaBURSA 2660149170056.0546.952.561.041.52
PortugalLISBON 2481316252.8247.332.901.471.44
NorwayOSE 98954526555.1148.622.971.541.43
AustraliaASX 50522891131457.2245.452.621.221.41
JapanNAGOYA 2411487261.4148.652.090.761.34
ItalyBORSA 76784428206557.6746.642.220.881.33
Vietnam HOSE 170994446255.2448.942.391.091.30
Austria WIENERBORSE 73337119150.6151.482.150.861.29
JordanASE 1791075459.7850.472.351.101.24
UKLSE 169398852416952.4246.952.271.051.22
NetherlandsAMSTERDAM 1804100044055.4344.001.870.651.22
DenmarkCOPENHAGEN 79943319354.1944.572.221.031.18
GermanyXETRA 98095571269556.7948.382.020.841.18
SwitzerlandSIX 127458.3357.
PhilippinesPSE 88549523855.9348.082.351.211.14
USPREFERRED 48802635117054.0044.401.540.451.08
BelgiumBRUSSELS 78644122156.1150.111.800.721.08
KuwaitKSE 48628212958.0245.742.471.421.05
MexicoBMV 134374835155.7046.932.111.061.04
SingaporeSGX 63150.0033.331.000.001.00
DenmarkCOPENHAGEN 31133.33100.
SingaporeSGX 98654222054.9740.591.991.040.95
BangladeshDSE 2349134666257.3949.
Greece ATHENS 69732615846.7748.472.331.420.90
USWARRANTS 5224846.1533.334.543.670.88
Vietnam HNX 57632314356.0844.272.281.450.83
RussiaMICEX 145982335756.4143.382.101.340.76
SwitzerlandSIX 3785212193356.0443.991.400.680.71
UAEUAE 4102429359.0238.432.041.360.68
MexicoBMV 63250.0066.670.670.000.67
IndiaNSE 95455.5680.000.600.000.60
USFOREX 3318954.5550.000.610.060.56
IsraelTASE 1311684.6254.550.910.450.45
ThailandSET 127558.3371.430.290.000.29
South KoreaKOSDAQ 124233.3350.000.500.250.25
SwedenSTOCKHOLM 128466.6750.000.630.380.25
ChinaSSE 2213859.0961.540.310.080.23
AustraliaASX 1611468.7536.360.360.180.18
BangladeshDSE 216228.5733.330.170.000.17
NorwayOSE 167343.7542.860.570.430.14
PhilippinesPSE 42211350.0061.900.140.050.10
ArgentinaBUE 2512748.0058.330.330.250.08
TurkeyBIST 83137.5033.330.330.330.00
PortugalLISBON 1000.
RussiaMICEX 53260.0066.670.330.330.00
Poland GPW 82125.0050.
MalaysiaBURSA 177441.1857.
NetherlandsAMSTERDAM 31133.33100.
ItalyBORSA 1000.
FrancePARIS 1000.
SpainIBEX 2000.
Hong KongHKEX 111100.00100.
Greece ATHENS 1000.
GermanyXETRA 1000.
ChileBCS 71114.29100.
BelgiumBRUSSELS 31133.33100.
CanadaTSX 54180.0025.
Austria WIENERBORSE 1000.
PakistanKSE 61251140.9844.000.240.32-0.08
TaiwanGTSM 116454.5566.670.330.50-0.17
UAEUAE 75371.4360.000.000.20-0.20
Vietnam HOSE 168550.0062.500.130.38-0.25
IndonesiaIDX 147150.0014.290.140.57-0.43
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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