Education post. Part II.
Diupdate
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 usdcad. Timeframe was 30M. Total amount of patterns found was 1369. This large number of setups tells me that usdcad spends more time consolidating than other pairs do. 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 USDCAD, 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.
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 usdcad. Timeframe was 30M. Total amount of patterns found was 1369. This large number of setups tells me that usdcad spends more time consolidating than other pairs do. 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 USDCAD, 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.
Catatan
Guys, don't forget to check the related idea "Education post". The link is just below this description. You will get the table for eurusd 30M.Catatan
here's the first educaitonal post for eurusd: 
Catatan
The table had mistakes. Cells B1C3 and B2C3 now corrected: 
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