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 is a four day bearish reversal pattern. It consists of three consecutive days each gapping higher on the open. After Three Gap Ups the market becomes extremely overbought and ready for the reversal of the current uptrend.
Recognition Criteria
1. The first day can be of any color.
2. The second day also can be of any color, so long as its body gaps up away from the first day’s body.
3. The last two days are white and their bodies must gap up from the bodies of the prior days.
Pattern Requirements and Flexibility
The first two days of the Bearish Three Gap Ups can be of any color but the last two days should be white. There must be upside body gaps between the candlesticks.
Trader’s Behavior
The market is overbought with three gaps up in a row and it is time for profit taking.
Sell/Stop Loss Levels
The confirmation level is defined as the midpoint of the last white body. 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
USWARRANTS 24121050.0083.3324.332.0822.25
CanadaCSE 159916257.2368.1313.312.6810.63
JapanFUKUOKA 2010850.0080.007.100.306.80
JapanNAGOYA 89523058.4357.697.381.655.73
JordanASE 97413042.2773.176.711.125.59
Vietnam HNX 59352659.3274.
JapanSAPPORO 114336.3675.004.750.004.75
CanadaTSX-V 34723013766.2859.577.242.844.40
IndiaBSE 99864983306949.9361.555.301.254.05
NorwayOSE 62434819555.7756.035.341.453.89
TurkeyBIST 3166138580443.7558.055.261.383.88
ArgentinaBUE 61226616443.6361.425.161.513.64
IndiaNSE 90044565273750.7259.934.821.193.63
Poland GPW 83147029456.5662.554.571.163.42
SwedenSTOCKHOLM 2551128875450.4958.544.521.233.29
PakistanKSE 165181952049.6163.494.441.293.15
USOTC PINK 70424145212259.3350.794.871.773.11
Vietnam HOSE 47623613249.5855.934.651.583.06
IsraelTASE 171383649148.8058.734.201.242.96
MalaysiaBURSA 78439922850.8957.144.331.422.91
IndonesiaIDX 59231517153.2154.294.521.732.79
Hong KongHKEX 3392172495950.8355.634.041.382.66
BangladeshDSE 84244225752.4958.143.951.332.62
SingaporeSGX 3451778751.3049.153.741.122.62
ChinaSZSE 51162639137351.6052.014.321.722.60
USNASDAQ 156148230437152.7253.103.831.272.56
South KoreaKOSDAQ 37321889104150.6255.114.562.012.55
UAEUAE 98493250.0065.313.651.122.53
SpainIBEX 61332519053.0258.463.390.882.51
ChileBCS 79402750.6367.504.982.482.50
PhilippinesPSE 45424215453.3063.643.421.052.37
DenmarkCOPENHAGEN 54528816552.8457.293.361.032.33
Greece ATHENS 110653859.0958.463.310.982.32
RussiaMICEX 67935818952.7252.793.280.982.30
EgyptEGX 110649728444.9457.143.951.692.26
PhilippinesPSE 2012860.0066.672.420.172.25
ChinaSSE 36031938100453.7951.813.861.652.22
ThailandSET 59430316051.1852.633.381.222.16
Austria WIENERBORSE 2341337356.8454.893.281.142.14
BrazilBOVESPA 171880541846.8651.933.371.282.09
South KoreaKRX 41232007108548.7853.953.411.382.03
BelgiumBRUSSELS 50126215152.3057.632.870.852.03
The World 2170071124395806751.8751.583.081.121.96
JapanTOKYO 1868510081542953.9553.853.091.131.96
TaiwanGTSM 2366121766751.4454.813.351.431.92
CanadaTSX 58103031156752.1751.702.840.941.91
QatarQE 122552845.0850.912.620.751.87
Saudi ArabiaTADAWUL 132063433348.0352.523.001.171.83
AustraliaASX 3083176286357.1548.983.081.271.82
USPREFERRED 134864432647.7750.622.390.661.73
USAMEX 2239120156653.6447.132.811.081.73
KuwaitKSE 130713954.6254.933.111.411.70
TaiwanGTSM 1310576.9250.001.800.201.60
MexicoBMV 103957228655.0550.003.051.511.54
OmanMSM 249341.6730.002.701.201.50
TaiwanTWSE 42182144109850.8351.212.551.081.47
FrancePARIS 43952354117853.6549.962.260.881.38
ItalyBORSA 58853277159256.1648.172.200.951.25
SingaporeSGX 138561.5462.501.250.001.25
USNYSE 2866414910696752.0346.722.251.011.24
SwitzerlandSIX 2130110952752.0747.521.940.761.18
UKLSE 81984419203854.3945.712.131.001.13
PortugalLISBON 120672855.8341.792.271.161.10
UKLSE 2011755.0063.641.270.181.09
NetherlandsAMSTERDAM 176899449256.2249.501.820.751.08
IsraelTASE 116554.5583.331.000.001.00
MexicoBMV 56291951.7965.521.450.451.00
GermanyXETRA 80804663226557.8348.471.830.890.94
NorwayOSE 169656.2566.671.000.110.89
DenmarkCOPENHAGEN 26161061.5462.501.130.250.88
TurkeyBIST 3914635.9042.861.360.500.86
ChileBCS 2111752.3863.641.000.180.82
ArgentinaBUE 58201434.4870.000.850.100.75
SwedenSTOCKHOLM 2414958.3364.290.710.000.71
RussiaMICEX 105350.0060.001.000.400.60
MalaysiaBURSA 2713748.1553.850.540.000.54
JapanTOKYO 208340.0037.500.500.000.50
ChinaSSE 209545.0055.560.780.330.44
Poland GPW 2012860.0066.670.830.420.42
IndiaNSE 30181060.0055.560.720.330.39
BrazilBOVESPA 2814550.0035.710.790.430.36
IndonesiaIDX 2814750.0050.000.640.290.36
PortugalLISBON 93333.33100.000.330.000.33
NetherlandsAMSTERDAM 93333.33100.000.330.000.33
South KoreaKOSDAQ 73142.8633.330.670.330.33
ItalyBORSA 93333.33100.000.330.000.33
GermanyXETRA 93333.33100.000.330.000.33
FrancePARIS 93333.33100.000.330.000.33
SpainIBEX 93333.33100.000.330.000.33
Greece ATHENS 93333.33100.000.330.000.33
BelgiumBRUSSELS 93333.33100.000.330.000.33
AustraliaASX 139669.2366.670.560.220.33
Austria WIENERBORSE 93333.33100.000.330.000.33
CanadaTSX 2010450.0040.000.600.300.30
ThailandSET 2411745.8363.640.450.180.27
PakistanKSE 219642.8666.670.330.110.22
BangladeshDSE 105350.0060.000.400.200.20
UAEUAE 2613550.0038.460.540.460.08
Vietnam HOSE 2312452.1733.330.250.250.00
Hong KongHKEX 98488.8950.000.130.38-0.25
USFOREX 2112557.1441.670.170.42-0.25
SwitzerlandSIX 53160.0033.330.000.33-0.33
FOREXFOREX 278129.6312.500.250.88-0.63
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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