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 1999-2019. Pair was eurusd. Timeframe was 30M. Total amount of patterns found was 818. The number in brackets shows how many such patterns were found.
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 EURUSD, 30M.
In my trading I go with the pattern (standard way) if the number is green and I go against the pattern (reverse way) if the number is red. This way I always stay on a higher probabilities side.
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 1999-2019. Pair was eurusd. Timeframe was 30M. Total amount of patterns found was 818. The number in brackets shows how many such patterns were found.
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 EURUSD, 30M.
In my trading I go with the pattern (standard way) if the number is green and I go against the pattern (reverse way) if the number is red. This way I always stay on a higher probabilities side.
Comment:
B2C5 cell should be red, of course. Because it is less than 50%)
