[EXPERIMENTAL] Ichi Wave V2 [MOD Wave V2 KOB]

stable
By Rob in Trading Bots Published July 2021 👁 1,363 views 💬 3 comments

Description

Experimental: OBV- Should be manually set for only Exit, Weight should equal: 1 Wave- SHould be set for Only Long, Weight should Equal: 5 RSI- Should be set for Only Short, Weight should Equal: 5 The remaining indicators shoudl be fine tuned manually via backtesting and chart plotting. TF: Currently working between 1-20minutes Enjoy :) Please post any suggestions on how to improve this script in the comments bellow :) Dependency: WaveTrendCrossV2 signals on cross when above below OB OS levels, and plots on chart -
HaasScript
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

3 Comments

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K
Kobalt almost 5 years ago

Nice one again..!

You say manually set to buy, short exit ... As I was wrestling with delaying only a buy signal and got my wires crossed after a while ;p

Was curious how you plan on diong this..
I know a few ways, but not a lot of intuitive shortcuts as the signal helpers lack a bit in the suggestions and was about to dive right into this.. later...when my cursor doesn't get delayed for 2 minutes etc:D
InputSignalManagement is one, but that creates multiple large input fields, one per indicator, overkill if you only want to enable one signal...maybe try UseSignalIf or Signal Properties/Options?
come to think of it Id like to make a reduced to essentials cc for InputSignalManagement, perhaps one assignable to multiple inputs... that would be neat n tidy..

R
Rob almost 5 years ago

https://www.haasscripts.com/t/kobalt-supermishmash/ Try this on :)
Tired now, but will get back to you tommorow 👍

R
Rob almost 5 years ago

Hey I saw your comment yesterday didnt fully undertstand on second read I got it now hahaha Indeed I ussed input signal management however you are right there are too many input fields and causes eeverything to go much much much painfully much slower. Owuld be nice to have a custom command that reduces it. Another fix i have used is just to change the weights so you use input signal management weight. Assing weight of 1 to each but put long = 2 short =2 and exit=1 as RSI based indicators only go long and short and do not trigger an exit the result is similar. If you do make a CC for signal management I am very much interested and looking forward to it :)