Asiv_Hull
stableDescription
Simple bot, leveraging Heiken for trend and a cross of EMA with HMA for cross signals. working wonders during this downtrend.
Specially efficient in Bitcoin and Ethereum sets.
Component:
-EMA_Heiken w/ HMA by [Ratimbum]
HaasScript
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Hello, can you help to convert a pinescript to haasscript?
problem solved