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RicardoSantos
2020년 9월 13일 오전 8시 50분

Example: Monte Carlo Simulation 

BITSTAMP:BTCUSD5
Bitcoin / U.S. dollarBitstamp

설명

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Experimental:

Example execution of Monte Carlo Simulation applied to the markets(this is my interpretation of the algo so inconsistencys may appear).

note:
  • the algorithm is very demanding so performance is limited.

릴리즈 노트

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added extra comments on the script, description to parameters..

릴리즈 노트

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removed the custom pseudo random generator function in favor of the new builtin random() function.

릴리즈 노트

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moved lines to builtin array, now supports depth up to 99

릴리즈 노트

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Update for V5
Breadth IndicatorsTrend AnalysisVolatilityexperimentalMONTECARLOsimulationsrandomdecisiontreepathnode
코멘트
UnknownUnicorn2352460
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with your unique abilities, we will soon be able to look forward to the future:) Thanks!
TradeBuddy2019
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@RicardoSantos
so let me ask you when do we know if its long or short?
extazzy666
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@TradeBuddy2019, with help of support and resistance
dgtrd
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Maestro, pioneer of innovative techniques. thanks alot for your enormous contributions to the community
Bakusay
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great work !
Quantkr
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brilliant
Noldo
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Many thanks sir.
Duyck
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Awesome script, Maestro!!!
ICEKI
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Proudly appreciated RicardoSantos for your generosity!
Holidaya35
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Wow!! what a talent man :) Thanks for sharing it.
I have noticed a potential issue that when new bars are loaded, the Monte Carlo stops predicting. Is there a way to reset calculations when a new bar is loaded ? the only other way it can start working is when it is deleted and re-added to the chart
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