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 confirmed Bearish Harami pattern. The first two lines are exactly the same as the Bearish Harami, and the third day represents bearish confirmation.
Recognition Criteria
1. The market is characterized by a prevailing uptrend.
2. We see a Bearish Harami (or a Harami Cross) pattern in the first two days.
3. Then, we see a black candlestick on the third day with a lower close than the second day.
Pattern Requirements and Flexibility
A Bearish Harami (or Harami Cross) pattern should be identified with all previously set rules. The third day must be a black day with a lower close.
Trader’s Behavior
The second day of the Bearish Three Inside Down already signals a trend reversal since the second day’s small body (or Doji) shows that bullish power is diminishing. The third day confirms this fact, but still a further confirmation is required for a bearish reversal.
Sell/Stop Loss Levels
The confirmation level is defined as the last close. 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
CanadaTSX-V 85593769.4162.717.902.595.31
USOTC PINK 2151549273.4958.237.612.734.87
JordanASE 221100.0050.005.000.504.50
ThailandSET 71554077.4672.734.650.444.22
SpainIBEX 31241377.4254.174.710.753.96
SingaporeSGX 25171068.0058.824.470.763.71
QatarQE 86275.0033.335.832.173.67
IndiaBSE 37029217978.9261.304.461.113.34
CanadaCSE 35231368.5754.175.332.133.21
Saudi ArabiaTADAWUL 78653383.3350.773.970.823.15
UKLSE 34124913173.3152.403.920.903.02
Vietnam HNX 125241.6740.004.801.803.00
IndiaNSE 29920611968.9057.773.830.932.91
ArgentinaBUE 22171077.2758.823.470.592.88
ChinaSZSE 140399055370.5655.863.860.992.87
NorwayOSE 67401959.7047.503.851.052.80
KuwaitKSE 996100.0066.673.220.442.78
Hong KongHKEX 29920510768.5652.203.801.162.64
USNASDAQ 71248025367.4252.713.811.262.54
TurkeyBIST 94673371.2849.253.751.212.54
IsraelTASE 112804471.4355.003.260.892.38
FrancePARIS 2211568770.5955.772.950.602.35
Poland GPW 90623368.8953.233.110.872.24
Austria WIENERBORSE 106360.0050.003.000.832.17
BangladeshDSE 56492987.5059.182.820.762.06
South KoreaKOSDAQ 51038023874.5162.633.311.282.03
South KoreaKRX 40229116772.3957.392.630.622.00
PakistanKSE 34231367.6556.523.261.262.00
The World 140199775522469.7753.412.750.891.85
SwedenSTOCKHOLM 2311628870.1354.323.141.301.84
ChinaSSE 102572838971.0253.432.690.931.75
JapanTOKYO 96966033968.1151.362.751.121.63
PortugalLISBON 95155.5620.004.002.401.60
MexicoBMV 42301671.4353.332.170.571.60
TaiwanGTSM 1941296466.4949.612.360.781.59
JapanNAGOYA 52140.0050.002.501.001.50
Greece ATHENS 37271272.9744.442.410.961.44
CanadaTSX 36724412566.4951.232.240.801.44
ChileBCS 65522980.0055.771.830.421.40
GermanyXETRA 2801958469.6443.082.050.681.37
IndonesiaIDX 72512870.8354.902.391.141.25
Hong KongHKEX 19161084.2162.501.310.061.25
TaiwanTWSE 32021910868.4449.322.050.811.24
Vietnam HOSE 78573173.0854.392.210.981.23
BrazilBOVESPA 1491004567.1145.
USNYSE 105769734765.9449.781.810.621.20
ChileBCS 17141082.3571.431.360.211.14
SwitzerlandSIX 36221361.1159.091.360.231.14
Greece ATHENS 34221464.7163.641.360.231.14
PhilippinesPSE 44322072.7362.501.630.531.09
AustraliaASX 1961446873.4747.
RussiaMICEX 76522468.4246.151.900.901.00
DenmarkCOPENHAGEN 3119761.2936.841.950.951.00
BelgiumBRUSSELS 39251464.1056.001.320.400.92
DenmarkCOPENHAGEN 36251969.4476.
UKLSE 1311884.6272.731.090.180.91
Austria WIENERBORSE 30181160.0061.
Vietnam HOSE 159760.0077.780.890.000.89
IndonesiaIDX 168750.0087.500.880.000.88
PortugalLISBON 32191259.3863.
NetherlandsAMSTERDAM 75502566.6750.001.220.400.82
FrancePARIS 33201260.6160.
GermanyXETRA 33201260.6160.
ItalyBORSA 33201260.6160.
ItalyBORSA 2261598070.3550.311.440.670.77
SpainIBEX 34201158.8255.
NetherlandsAMSTERDAM 34211261.7657.140.950.240.71
BelgiumBRUSSELS 34211261.7657.140.950.240.71
PhilippinesPSE 119681.8266.670.780.110.67
PakistanKSE 2314860.8757.141.070.430.64
ThailandSET 27221581.4868.180.770.140.64
JapanTOKYO 2318978.2650.001.060.440.61
NorwayOSE 33201560.6175.000.650.050.60
South KoreaKOSDAQ 28201071.4350.000.800.200.60
EgyptEGX 1510466.6740.001.601.000.60
MalaysiaBURSA 69492271.0144.902.241.690.55
RussiaMICEX 45301766.6756.671.070.530.53
IndiaNSE 1814877.7857.140.710.210.50
SwitzerlandSIX 104633160.5849.211.020.540.48
CanadaTSX 1914573.6835.710.930.500.43
USAMEX 75572776.0047.371.230.810.42
SwedenSTOCKHOLM 2014570.0035.710.500.140.36
UAEUAE 32201062.5050.000.550.200.35
AustraliaASX 2315865.2253.330.470.130.33
USFOREX 31231174.1947.830.430.170.26
UAEUAE 84150.0025.
TaiwanGTSM 1610462.5040.000.500.300.20
Poland GPW 33251275.7648.000.480.280.20
ChinaSSE 2216872.7350.000.380.190.19
BangladeshDSE 1913868.4261.540.310.150.15
TurkeyBIST 107570.0071.430.570.430.14
MalaysiaBURSA 2014570.0035.710.360.210.14
USPREFERRED 104732970.1939.730.490.370.12
SingaporeSGX 36241466.6758.330.380.290.08
ArgentinaBUE 43175.0033.330.670.670.00
IsraelTASE 1810655.5660.
JapanFUKUOKA 2000.
FOREXFOREX 2823982.1439.130.650.70-0.04
MexicoBMV 119381.8233.330.330.44-0.11
BrazilBOVESPA 1613581.2538.460.460.85-0.38
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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