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 1561046767.3163.816.092.643.45
South KoreaKOSDAQ 39762171128054.6358.934.021.232.80
ChinaSZSE 107295978342655.7257.313.861.222.64
JapanSAPPORO 52240.00100.002.500.002.50
IndiaNSE 55113006168954.6556.083.741.312.43
ChinaSSE 80834508254655.7756.483.501.102.40
PakistanKSE 117965437855.4757.803.621.282.34
QatarQE 36219311153.3157.512.920.592.33
Hong KongHKEX 73814184213656.7950.953.481.292.18
IsraelTASE 111760334453.9857.053.120.992.13
Poland GPW 124067837755.0855.
IndiaBSE 103365762301755.7852.333.701.751.95
ThailandSET 84748625557.3852.472.770.851.92
USNASDAQ 123506552339253.2451.593.071.161.91
CanadaTSX-V 83152126862.9451.244.812.941.87
ArgentinaBUE 2831487752.3052.033.491.701.80
OmanMSM 64366.6775.002.500.751.75
USWARRANTS 3215646.8840.006.474.731.73
South KoreaKRX 49672795155756.2755.712.530.821.72
USOTC PINK 91645558265260.7847.614.582.891.69
JapanFUKUOKA 3815839.4753.332.330.671.67
IndonesiaIDX 76944822658.2650.452.961.311.64
SwedenSTOCKHOLM 2184121359655.5449.133.051.481.57
SpainIBEX 64834918753.8653.582.340.791.55
The World 1915851069975365455.9050.102.691.171.52
SingaporeSGX 42150.0050.001.500.001.50
Vietnam HOSE 117564633254.9851.392.480.981.50
JapanTOKYO 1805010176533156.3852.392.591.141.45
TurkeyBIST 55329914654.0748.832.551.131.42
USAMEX 2037113752655.8246.262.531.121.41
Saudi ArabiaTADAWUL 55830516154.6652.792.070.671.40
TaiwanGTSM 2532146171557.7048.942.371.001.37
EgyptEGX 46226113056.4949.812.921.571.34
TaiwanTWSE 3390190893456.2848.952.100.761.34
MalaysiaBURSA 163994643657.7246.092.310.971.34
SwitzerlandSIX 127458.3357.
ItalyBORSA 49362870131758.3145.762.020.911.11
FrancePARIS 3072168182254.7548.871.830.761.07
CanadaTSX 58913234153954.9047.591.900.841.05
Austria WIENERBORSE 44621310147.7647.421.910.861.04
SingaporeSGX 62034914056.2940.
JapanNAGOYA 1601044865.0046.151.800.791.01
AustraliaASX 3496201789757.6944.472.101.101.01
DenmarkCOPENHAGEN 111100.00100.
USNYSE 180719997464455.3646.421.800.820.98
PortugalLISBON 134692951.4942.032.751.780.97
MexicoBMV 88349823656.4047.391.951.000.95
DenmarkCOPENHAGEN 48725810952.9842.
Vietnam HNX 40322810056.5843.862.281.350.93
UKLSE 109325837265053.4345.371.961.040.92
BelgiumBRUSSELS 50728814356.8049.651.550.630.92
RussiaMICEX 105860628157.5646.141.941.100.84
GermanyXETRA 57123362154358.9645.811.620.810.81
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
NetherlandsAMSTERDAM 106257223953.8641.781.270.620.64
JordanASE 147924362.5946.742.011.370.64
BangladeshDSE 159291243157.2947.261.751.120.63
NorwayOSE 65634616353.3546.572.271.700.57
IsraelTASE 109590.0055.561.110.560.56
PhilippinesPSE 55731214056.0144.871.781.230.55
UAEUAE 2621566259.5439.741.781.220.55
KuwaitKSE 3351988359.1041.922.011.510.51
RussiaMICEX 32266.67100.000.500.000.50
BrazilBOVESPA 138972831252.6342.681.891.420.48
SwitzerlandSIX 2422137456656.7341.191.100.670.42
ThailandSET 95355.5660.000.400.000.40
USPREFERRED 3719203786154.7742.270.740.350.39
AustraliaASX 138361.5437.500.500.130.38
Greece ATHENS 55023511642.7349.361.771.400.37
PakistanKSE 349526.4755.560.560.220.33
ChileBCS 48281758.3360.710.680.390.29
South KoreaKOSDAQ 114236.3650.000.500.250.25
ChinaSSE 2011755.0063.640.270.090.18
BangladeshDSE 216228.5733.330.170.000.17
SwedenSTOCKHOLM 117363.6442.860.570.430.14
PhilippinesPSE 3516945.7156.
ArgentinaBUE 1710658.8260.000.300.200.10
TurkeyBIST 61016.670.
UKLSE 72128.5750.000.500.500.00
Poland GPW 72128.5750.
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 32066.670.
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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