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 1/1/2021
Stock Exchange 
Per Trade 
Total Net% Descending
CanadaCSE 127764959.8464.4711.543.298.25
CanadaTSX-V 33721713164.3960.377.122.414.71
Vietnam HNX 2131377564.3254.745.621.594.03
Hong KongHKEX 150095354963.5357.614.821.413.41
IndonesiaIDX 68946427367.3458.844.441.293.15
SwedenSTOCKHOLM 146689251760.8557.964.341.253.09
South KoreaKOSDAQ 1760108564361.8259.104.301.253.05
PhilippinesPSE 24416010165.5763.133.760.822.94
ChinaSZSE 38162286135859.9159.413.961.112.84
JapanFUKUOKA 1810455.5640.003.310.522.79
ThailandSET 70645526364.4557.803.921.142.78
NorwayOSE 38423812561.9852.524.381.632.75
PakistanKSE 47932919668.6859.573.961.272.68
JordanASE 107370.0042.863.851.212.64
USNASDAQ 57813725196064.4452.624.031.412.62
USOTC PINK 2391152074364.4948.185.002.422.58
MalaysiaBURSA 76647126461.4956.053.721.232.48
BangladeshDSE 46234220274.0359.063.701.232.47
BelgiumBRUSSELS 1881025554.2653.923.230.792.44
TurkeyBIST 119581.8255.562.780.442.33
UAEUAE 97613262.8952.463.150.912.25
Vietnam HOSE 60937519461.5851.733.231.022.21
IsraelTASE 122070436857.7952.
AustraliaASX 1560100149064.1748.953.691.542.15
Saudi ArabiaTADAWUL 71346828065.6459.832.850.722.13
IndiaNSE 2247143679163.9155.083.371.232.13
ChileBCS 127753859.0650.673.171.162.01
South KoreaKRX 160797152760.6154.112.911.021.90
IndiaBSE 34872278121665.3353.383.461.561.90
TaiwanGTSM 1762111460463.3454.122.961.081.88
SingaporeSGX 172995457.5654.553.041.191.85
QatarQE 128814363.2853.092.630.791.83
TurkeyBIST 117574237063.1549.873.311.491.82
ChinaSSE 32091946106060.6454.472.871.091.78
TaiwanGTSM 64366.6775.001.750.001.75
The World 91296562182926862.1251.612.871.121.74
UKLSE 38022339116361.5249.722.811.141.67
SpainIBEX 2591648863.3253.662.590.951.64
TaiwanTWSE 2349148680763.2654.312.630.991.64
CanadaTSX 2453145676859.3652.752.671.041.63
Poland GPW 45627315159.8755.313.101.511.58
JapanTOKYO 60203707195961.5852.852.641.091.55
DenmarkCOPENHAGEN 2291448762.8860.422.891.341.54
EgyptEGX 2841557856.6948.453.151.611.54
FrancePARIS 1795110756961.8451.262.450.921.54
MexicoBMV 47931315865.3450.483.201.781.42
UKLSE 40251162.5044.001.560.281.28
ArgentinaBUE 49326111453.9642.863.252.001.25
USAMEX 90853323658.7044.282.431.191.24
ItalyBORSA 2445159576165.2447.712.170.981.19
ThailandSET 33211463.6466.671.380.191.19
MexicoBMV 51392476.4761.541.440.261.18
SwedenSTOCKHOLM 2212554.5541.671.830.671.17
ChinaSSE 33211063.6447.621.290.141.14
IsraelTASE 2615957.6960.001.470.331.13
Austria WIENERBORSE 2441396856.9748.922.691.581.12
USNYSE 85235191244160.9147.
KuwaitKSE 1711014759.0646.532.010.971.04
BrazilBOVESPA 126973435057.8447.682.321.340.99
GermanyXETRA 44082866138965.0248.461.830.900.93
SwitzerlandSIX 96058626461.0445.051.961.170.78
ChileBCS 41171241.4670.591.060.290.76
NetherlandsAMSTERDAM 72048124266.8150.311.690.930.76
PortugalLISBON 72452462.5053.331.821.090.73
Greece ATHENS 2114566.6735.711.000.290.71
BrazilBOVESPA 52301757.6956.671.200.500.70
JapanTOKYO 2010750.0070.000.700.000.70
Austria WIENERBORSE 2215668.1840.000.930.270.67
Greece ATHENS 134763456.7244.742.261.630.63
IndonesiaIDX 34161047.0662.500.880.250.63
ItalyBORSA 2316669.5737.500.880.250.63
FrancePARIS 2316669.5737.500.880.250.63
SwitzerlandSIX 1910852.6380.000.700.100.60
DenmarkCOPENHAGEN 2312852.1766.670.670.080.58
CanadaTSX 2514856.0057.140.710.140.57
PortugalLISBON 2215668.1840.000.800.270.53
AustraliaASX 3019963.3347.370.950.420.53
RussiaMICEX 42311573.8148.391.190.680.52
USFOREX 51321662.7550.000.690.220.47
NetherlandsAMSTERDAM 2215568.1833.330.730.270.47
GermanyXETRA 2215568.1833.330.730.270.47
BelgiumBRUSSELS 2215568.1833.330.730.270.47
Vietnam HOSE 46311867.3958.060.650.230.42
Poland GPW 2111852.3872.731.180.820.36
SpainIBEX 3223771.8830.430.610.300.30
FOREXFOREX 48311264.5838.710.580.320.26
South KoreaKOSDAQ 37231362.1656.520.480.260.22
SingaporeSGX 2517668.0035.290.590.410.18
PakistanKSE 3319857.5842.110.420.260.16
UAEUAE 3920951.2845.
IndiaNSE 2016780.0043.750.500.380.13
NorwayOSE 2316669.5737.500.500.380.13
PhilippinesPSE 2517568.0029.410.290.240.06
OmanMSM 62133.3350.000.500.500.00
MalaysiaBURSA 46281160.8739.290.360.360.00
RussiaMICEX 2680059.330.
USPREFERRED 4501055.560.
Hong KongHKEX 3319857.5842.110.210.26-0.05
BangladeshDSE 5535963.6425.710.290.34-0.06
ArgentinaBUE 4618539.1327.780.280.78-0.50
JapanNAGOYA 3819950.0047.372.533.20-0.68
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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