Here is another adaptive stochastic forex-tsd model i’m forward testing. The random lines area unit twenty four, 38, 49, sixty two and ninety nine once the lines converge and go wrong the ninety line on each the M5 and M15 chart it’s a chance to SELL. once the lines converge and rise through the ten line on each the M5 and M15 chart it’s a chance to shop for. the RSI is there simply to verify the strength of worth direction. this can be a ten RSI with thirty and seventy lines since this RSI doesn’t keep long higher than the seventy or below the thirty.
What is the foremost fascinating it’s the user freindly expertise. i actually likable once the dots began to go the cycle. The cylce analysis could be a ne’er ending story. the chance field officer notice settled cycles and predict market turning points is therefore powerfull plan. but the realities area unit others. The market seldom produces nice cycles like that. what’s fascinating to American state is that he uses finish of day knowledge. will it mean that with finish of day knowledge the result could also be better? it’s to be investigated. we tend to do have some terribly powerfull reconciling cycle indicators and systems underneath metatrader. I even have an entire thread in TSD this. but i exploit there the cycle amount indicator of Ehlers that’s freely distributed (cycle amount indicator). Then i exploit it in WPR and random. Then I used it as input within the digital ASCTrend system hoping that it’d create the system reconciling.
I had another plan. this can be to use a back propagation neural internet for Metatrader and adapt it to one.5 of cycle amount that’s associate degree optimum sampling and use it as input of a neural internet. and also the neural internet was about to approximate the perform while not presumptuous that it’s a swish repetitive oscillation. that’s a system that has its robust points and its weak points (strong points area unit that it’s terribly succesfull in trending markets and in markets that notwithstanding they’re not trending have persistent movements, the liability is that it’s not succesfull once the movement is jagged and antipersitent, however knowing that you simply will predict the longer term performance). And it’s very necessary to understand the robust points and also the weak points of systems.