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 buying decisions.
This pattern occurs when two black days appear with equal closes in a downtrend. Matching Low indicates a bottom has been made, even though the new low was tested and there was no follow through, which is indicative of a good support price.
Recognition Criteria
1. The market is characterized by a prevailing downtrend.
2. A black body is observed on the first day.
3. The second day follows with another black candlestick whose closing price is exactly equal to the closing price of the first day.
Pattern Requirements and Flexibility
The Bullish Matching Low consists of two black candlesticks. The length of the first candlestick should be normal or long. Both candlesticks should close at the same level.
Trader’s Behavior
The market has been lower, as evidenced by another strong black day. The next day open higher and trade still higher, and then it closes at the same price. This is indicative of short term support and will cause much concern with the bears. What reflects the psychology of the market is not necessarily the daily trading action but with the fact that both days close at the same level.
Buy/Stop Loss Levels
The confirmation level is defined as the midpoint of the first black body. Prices should cross above this level for confirmation.

The stop loss level is defined as the lower of the last two lows. Following the BUY, if prices go down instead of going up, and close or make two consecutive daily lows below the stop loss level, while no bearish 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
NorwayOSE 47620110242.2350.756.901.425.48
OmanMSM 5215528.8533.335.270.734.53
ArgentinaBUE 160694145.0056.945.141.104.04
IndiaBSE 229684842336.9849.825.331.623.71
TurkeyBIST 2676103652438.7150.584.691.113.59
BrazilBOVESPA 82735218342.5651.994.561.063.50
CanadaCSE 4261556036.3838.717.834.463.37
USOTC PINK 234098539842.1440.378.395.113.28
South KoreaKOSDAQ 3240133172441.1754.274.321.163.16
PhilippinesPSE 31133.33100.
IsraelTASE 2831206442.4053.333.931.052.88
Poland GPW 138649921836.0843.604.201.412.79
EgyptEGX 53421710840.6449.774.361.592.78
IndonesiaIDX 223878935435.2544.873.961.202.76
USNASDAQ 4451189194142.6249.604.191.452.74
Greece ATHENS 217834238.2550.603.801.132.66
IndiaNSE 269696745335.9146.804.822.302.52
JapanSAPPORO 72128.5750.003.000.502.50
Hong KongHKEX 69882695116338.6243.093.881.562.31
DenmarkCOPENHAGEN 3081415945.7841.843.431.232.20
UKLSE 3186128666240.3651.483.091.032.06
South KoreaKRX 3322129767339.0451.892.840.822.02
ChinaSZSE 149662232041.5851.453.061.052.00
The World 96830398371852941.1746.483.391.401.99
SwedenSTOCKHOLM 163569532942.5147.343.291.301.99
JapanTOKYO 64923009154346.3551.282.760.881.88
BangladeshDSE 227186037537.8743.603.071.191.88
Austria WIENERBORSE 83412449.4058.542.320.441.88
ChinaSSE 112346324741.2353.352.790.931.87
USAMEX 71431914544.6845.453.351.541.81
TaiwanGTSM 3179129263540.6449.152.680.871.81
CanadaTSX 3240143760944.3542.383.231.501.73
AustraliaASX 5126222690543.4640.623.692.021.67
Vietnam HOSE 103839718738.2547.102.821.151.66
PakistanKSE 2731095039.9345.873.141.521.61
JapanNAGOYA 77351645.4545.712.200.631.57
RussiaMICEX 5051998540.2041.872.831.261.57
USNYSE 3806175691846.1452.282.240.701.55
Saudi ArabiaTADAWUL 242985140.5052.042.490.971.52
FrancePARIS 147757627039.0046.882.641.151.49
ItalyBORSA 72733016045.3948.482.310.861.45
PortugalLISBON 74281137.8439.292.571.181.39
CanadaTSX-V 222989630940.2034.494.833.441.39
TaiwanTWSE 47522049101743.1249.632.120.751.37
QatarQE 87321536.7846.882.000.721.28
MalaysiaBURSA 3279124852538.0642.072.561.421.14
PhilippinesPSE 73826511535.9143.402.481.341.13
ThailandSET 31133.33100.
TaiwanGTSM 111100.00100.
Austria WIENERBORSE 21150.00100.
CanadaTSX 111100.00100.
Greece ATHENS 21150.00100.
FrancePARIS 21150.00100.
SpainIBEX 81112.50100.
GermanyXETRA 111100.00100.
ItalyBORSA 21150.00100.
PortugalLISBON 61116.67100.
ThailandSET 5501215981939.2537.932.421.480.94
UAEUAE 226903739.8241.
SwitzerlandSIX 66031913448.3342.011.700.860.84
GermanyXETRA 103449022347.3945.511.811.020.79
Vietnam HNX 5862259738.4043.112.481.730.75
NetherlandsAMSTERDAM 237923838.8241.301.430.770.66
SpainIBEX 3021315543.3841.982.091.470.62
BelgiumBRUSSELS 2561205746.8847.501.320.770.55
SingaporeSGX 62133.3350.000.500.000.50
MalaysiaBURSA 82125.0050.000.500.000.50
USPREFERRED 4582039144.3244.830.810.400.41
JordanASE 162833051.2336.142.131.750.39
MexicoBMV 159612138.3634.431.661.280.38
SingaporeSGX 170269823741.0133.951.821.570.25
USFOREX 2712644.4450.
IsraelTASE 3000.
ChinaSSE 3000.
BangladeshDSE 3000.
AustraliaASX 72028.570.
ArgentinaBUE 31133.33100.
SwitzerlandSIX 110100.
BelgiumBRUSSELS 62133.3350.000.500.500.00
IndiaNSE 110100.
UAEUAE 31033.330.
Poland GPW 1000.
PakistanKSE 31133.33100.
NetherlandsAMSTERDAM 62133.3350.000.500.500.00
Vietnam HOSE 21050.
UKLSE 3000.
JapanFUKUOKA 176235.2933.331.171.33-0.17
KuwaitKSE 219763134.7040.791.421.67-0.25
USOTCBB 83037.500.000.006.33-6.33
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 bulls.com© family websites


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