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 consists of a white body followed by an Inverted Hammer that is characterized by a long upper shadow and a small body. It is similar in shape to the Bullish Inverted Hammer pattern but unlike it, the Shooting Star appears in an uptrend and signals a bearish reversal.
Recognition Criteria
1. The market is characterized by a prevailing uptrend.
2. The first day of the pattern is a white candlestick.
3. On the second day, a small body at the lower end of the trading range is observed. Color of this body is not important.
4. The upper shadow of this second candlestick should be at least twice as long as the body.
5. There is (almost) no lower shadow.
Pattern Requirements and Flexibility
The body of the Inverted Hammer should be small. The upper shadow must be at least twice as long as the body but not shorter than an average candlestick length. It is desired that there is no or a very tiny lower shadow. The top of the Inverted Hammer’s body should be higher than the preceding candlestick’s body.
Trader’s Behavior
The pattern occurs in a bullish background and the white candlestick that appears on the first day further supports the bullishness. On the second day, in which an Inverted Hammer is seen, market opens at or near its low. Then prices change direction and we see a rally. However, the bulls do not succeed in sustaining the rally during the rest of the day and prices finally close either at or near the low of the day. Certainly, this will cause some concern to any bulls holding profitable positions.
Sell/Stop Loss Levels
The confirmation level is defined as the low of the Inverted Hammer’s body. 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
CanadaCSE 58322255.1768.7513.812.3111.50
UAEUAE 66372656.0670.274.920.924.00
CanadaTSX-V 2341558766.2456.137.153.653.50
IndonesiaIDX 53635622566.4263.204.521.043.48
Hong KongHKEX 1697105760662.2957.334.621.163.46
EgyptEGX 104472545.1953.194.431.193.23
TurkeyBIST 97577.7871.433.570.433.14
BelgiumBRUSSELS 1841005254.3552.003.870.972.90
South KoreaKOSDAQ 140385549660.9458.014.271.382.89
JapanFUKUOKA 109490.0044.443.440.562.89
IsraelTASE 76845124758.7254.773.951.092.87
USOTC PINK 2229135570961.6951.564.922.122.81
PakistanKSE 42727815965.1157.
NorwayOSE 2781619157.9156.523.781.062.72
IndiaNSE 2110137878865.3157.183.921.222.70
SwedenSTOCKHOLM 111463936257.3656.653.821.132.69
USWARRANTS 158353.3337.506.253.632.63
ThailandSET 69446325466.8654.743.561.042.52
MalaysiaBURSA 74045325861.2256.953.551.062.49
BangladeshDSE 54137822369.8758.993.270.962.31
Poland GPW 42327316764.7860.953.531.242.29
IndiaBSE 33922177118764.1854.523.881.612.27
Vietnam HNX 131734655.7363.013.441.252.19
DenmarkCOPENHAGEN 1841126860.8760.713.431.252.18
UKLSE 2514756.0050.
TaiwanGTSM 1690111863066.1556.353.171.032.13
PhilippinesPSE 27818811067.6358.513.491.362.13
USNASDAQ 45912853147662.1751.723.411.332.08
SwedenSTOCKHOLM 167343.7542.862.430.432.00
Poland GPW 73342.86100.
South KoreaKRX 128976543559.5056.712.961.011.95
TaiwanTWSE 2203138674762.9153.902.890.991.89
The World 73726447972362160.8252.682.961.131.83
TurkeyBIST 95959932062.4653.422.981.181.81
FrancePARIS 140580543257.4453.532.710.911.81
ChinaSZSE 33061953104659.0753.563.341.551.79
Vietnam HOSE 47131218366.2458.652.831.131.70
SingaporeSGX 1791095760.8952.293.061.391.68
KuwaitKSE 71412057.7548.782.630.981.66
UKLSE 2924166785457.1551.112.841.191.65
QatarQE 97603061.8650.002.370.731.63
JapanTOKYO 58603485180559.4751.792.711.111.60
SpainIBEX 2371658769.6252.732.540.951.59
ChinaSSE 2153119559255.5049.542.891.341.55
Saudi ArabiaTADAWUL 70744422762.8051.132.320.821.49
AustraliaASX 124776436561.2747.773.231.781.45
USNYSE 67594077199160.3548.812.330.891.44
USAMEX 59335216859.3647.732.571.171.39
ItalyBORSA 1608105151165.7348.342.441.061.38
RussiaMICEX 3291869456.5350.542.270.901.38
PortugalLISBON 68442564.7156.822.230.891.34
ArgentinaBUE 165944656.9748.943.031.711.32
CanadaTSX 2140124463358.1350.882.250.931.31
GermanyXETRA 2322148274264.0049.932.190.891.30
BrazilBOVESPA 67236517554.4647.812.841.561.27
MexicoBMV 3211959560.7548.722.481.251.24
ChinaSSE 2012560.0041.671.330.171.17
MexicoBMV 36281777.7860.711.460.321.14
ChileBCS 103623260.1951.611.820.711.11
SwitzerlandSIX 69540418858.1346.532.000.971.03
TaiwanGTSM 332100.0066.671.000.001.00
IsraelTASE 1810755.5670.001.300.301.00
BrazilBOVESPA 39211353.8561.901.430.431.00
SwitzerlandSIX 115445.4580.
NetherlandsAMSTERDAM 40827014366.1852.961.750.790.96
RussiaMICEX 28231482.1460.871.570.610.96
JapanNAGOYA 4320946.5145.002.401.500.90
JapanTOKYO 148657.1475.000.880.000.88
DenmarkCOPENHAGEN 167543.7571.430.860.000.86
ThailandSET 1911757.8963.641.000.180.82
IndonesiaIDX 2111652.3854.551.090.270.82
ChileBCS 2813946.4369.230.920.150.77
USFOREX 38251465.7956.000.800.120.68
USPREFERRED 47725711053.8842.801.190.570.63
FOREXFOREX 32221068.7545.450.770.180.59
AustraliaASX 1712770.5958.330.920.420.50
CanadaTSX 1710558.8250.000.700.200.50
South KoreaKOSDAQ 26181169.2361.110.610.220.39
SpainIBEX 2013465.0030.770.540.150.38
PortugalLISBON 159360.0033.330.560.220.33
Vietnam HOSE 37281575.6853.570.570.250.32
NetherlandsAMSTERDAM 138261.5425.000.500.250.25
Greece ATHENS 138261.5425.000.500.250.25
ItalyBORSA 138261.5425.000.500.250.25
BelgiumBRUSSELS 138261.5425.000.500.250.25
Austria WIENERBORSE 138261.5425.000.500.250.25
GermanyXETRA 138261.5425.000.500.250.25
FrancePARIS 138261.5425.000.500.250.25
Austria WIENERBORSE 71441961.9743.181.911.680.23
PakistanKSE 179352.9433.330.330.110.22
UAEUAE 3215746.8846.670.270.070.20
PhilippinesPSE 1711364.7127.
Greece ATHENS 90521857.7834.622.652.540.12
Hong KongHKEX 2112657.1450.
MalaysiaBURSA 2716759.2643.750.380.310.06
BangladeshDSE 3421761.7633.330.290.240.05
IndiaNSE 1110690.9160.000.400.400.00
OmanMSM 62133.3350.000.500.500.00
SingaporeSGX 1810455.5640.000.200.30-0.10
JordanASE 157346.6742.860.710.86-0.14
NorwayOSE 1610362.5030.000.100.30-0.20
ArgentinaBUE 2611542.3145.450.450.73-0.27
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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