FX:EURAUD   Euro / Australian Dollar
The table above describes all possible pattern variations: harmonic gartleys, advanced gartleys, pesavento gartleys, harmonic bats, advanced bat and UG. If you look closer, the range of ratios covers everything.

Now, let's go into some details...

1) Intro
In this test the patterns were found and drawn by MPS. The algorithm of swing identification was set to "prex(12)". This means I was looking at highest highs of past 12 candles and lowest lows of past 12 candles as swing pivots . The FastBacktest utility automatically wrote down all patterns details including time, entry, stop, target, B ratio, C ratio and more into excel spreadsheet. This methodology of market research eliminates subjectiveity, human errors and it compresses the time. But you can easily verify the results manually (old-school) if you wish.

2) Trade plan
I was testing naked pattern. No reversal confirmations by indicators, priceaction or oscillators. Simple set-and-forget. If it works then it works, if not then not.
Entry: Limit order at 0.786XA (always).
Stop: 1.05XA.
Target: Risk distance calculated and then projected to have 1:1RR ratio.
Result: A pattern was considered a winner if priceaction reverses and hits takeprofit before it hits stoploss.

3) Statistics.
Testing period was 2004-2019. Pair was EURAUD . Timeframe was 30M. Total amount of patterns found was 565. Left-top corner number is the probability of win. Right-top corner number is the total number of setups. Left-down corner number is the losses count. Right-down corner number is the wins count.

4) Conclusion.
I think objectivity is the key to any scientific research. Next time, when you read a book, an article, watch a video or attend a pattern trading course ask yourself a question: "Are the results they are talking about really testable, verifiable and repeatable?" Run away from those mentors who don't tell you the swing identification method. Based on my research, different swing identification methods produce different results. If you would ever wish to use this table in your trading make sure that you find swing with prex(12) method. This research is only true for EURAUD , 30M.
In my trading I go with the pattern (standard way) if the cell is green and I go against the pattern (reverse way) if the cell is red. This way I always stay on a higher probabilities side.
This pattern was found by the MPS-v5.5 pattern recognition software: https://mps-trade.com

My YouTube channel: https://www.youtube.com/user/alexniquitos/
Thanks a lot!
Alexander_Nikitin Tahminci_Ciragi
@Tahminci_Ciragi, you are welcome:)
Awesome! B 0.382-0.5 C 0.886-1 61.54% probability !
From my point of view, the one currency sample doesn't provide enough data to clearly indicate the pattern as winning or losing for the ratio group. For example, B - 0.382-0.5 and C 0.5-0.618 only gives 15 patterns. Do you think uniting patterns from the same ratio group but different currencies pairs to achieve the higher sample pool will provide any statistically significant result or will it be more leaning towards the random?
@Eversong11, Nope, it won't provide any statistical significance. Every pair has its own personality. Check the related ideas ("Education post" and "Education post II"). Even if you change the timeframe within one pair you will have a different result.
Alexander, kudos for your work!
@rludvik, thank you:)
wow this is amazing! Thank You Alex, very insightful
@DAVID_GIRALDO, You are welcome. In the related ideas I attached more tables.:)
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