Autoregressive Covariance Oscillator by Tenozen

Well to be honest I don't know what to name this indicator lol. But anyway, here is my another original work! Gonna give some background of why I create this indicator, it's all pretty much a coincidence when I'm learning about time series analysis.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

Well, the formula of Auto-covariance is:
E{(X(t)-(t) * (X(t-s)-(t-s))}= Y_s

But I don't multiply both values but rather subtract them:
E{(X(t)-(t) - (X(t-s)-(t-s))}= Y_s?
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

For arm_vald, the equation is as follows:
arm_vald = val_mu + mu_plus_lsm + et

val_mu --> mean of time series
mu_plus_lsm --> val_mu + LSM
et --> error term

As you can see, val_mu^2. I did this so the oscillator is much smoother.
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

After I get the value, I normalize them:
aco = Y_s? / arm_vald
So by this calculation, I get something like an oscillator!

(more details in the code)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

So how to use this indicator? It's so easy! If the value is above 0, we gonna expect a bullish response, if the value is below 0, we gonna expect a bearish response; that simple. Be aware that you should wait for the price to be closed before executing a trade.

Well, try it out! So far this is the most powerful indicator that I've created, hope it's useful. Ciao.

(more updates for the indicator if needed)

發行說明

Fixed:
- line plots NaN/Incomplete line.
- Some timeframes plot NaN.

Usage reminder:
- If the resolution is lower than 10 Minutes, it won't plot anything. Please use a resolution equal to or above 10 Minutes.

發行說明

Updating the Indicator Preview

發行說明

Added src input

發行說明

Added PVMA

發行說明

Added invert value option

發行說明

Added custom symbol option and an option to multiply the value by price