OPEN-SOURCE SCRIPT
Karobein Oscillator
Developed by Emily Karobein, the Karobein oscillator is an oscillator that aim to rescale smoothed values with more reactivity in a range of (0,1)
Calculation
The scaling method is similar to the one used in a kalman filter for the kalman gain.
We first average the up/downs x, those calculations are similar to the ones used for calculating the average gain/loss in the relative strength index.
a = ema(src < src[1] ? x : 0,length)
b = ema(src > src[1] ? x : 0,length)
where src is a exponential moving average of length period and x is src/src[1] in the standard calculations, but anything else can be used as long as x > 0.
Then we rescale the results.
c = x/(x + b)
d = 2*(x/(x + c*a)) - 1
How To Use
It is better to use centerline-cross/breakouts/signal line.
In general when we use something smooth as input in oscillators, breakouts are better than reversals, you can see this with the stochastic and rsi.
So a simple approach could be buying when crossing over 0.8 and selling when crossing under 0.2.
Here is the balance of a strategy using those conditions, length = 50.
20 trades have been mades since the 29 oct we made 341 pips with eur/usd, of course this backtest was made during good trends period,
this result is not representative of how the strategy work with other conditions/markets.
For any questions/suggestions feel free to contact me
Calculation
The scaling method is similar to the one used in a kalman filter for the kalman gain.
We first average the up/downs x, those calculations are similar to the ones used for calculating the average gain/loss in the relative strength index.
a = ema(src < src[1] ? x : 0,length)
b = ema(src > src[1] ? x : 0,length)
where src is a exponential moving average of length period and x is src/src[1] in the standard calculations, but anything else can be used as long as x > 0.
Then we rescale the results.
c = x/(x + b)
d = 2*(x/(x + c*a)) - 1
How To Use
It is better to use centerline-cross/breakouts/signal line.
In general when we use something smooth as input in oscillators, breakouts are better than reversals, you can see this with the stochastic and rsi.
So a simple approach could be buying when crossing over 0.8 and selling when crossing under 0.2.
Here is the balance of a strategy using those conditions, length = 50.
20 trades have been mades since the 29 oct we made 341 pips with eur/usd, of course this backtest was made during good trends period,
this result is not representative of how the strategy work with other conditions/markets.
For any questions/suggestions feel free to contact me
开源脚本
本着真正的TradingView精神，此脚本的作者已将其开源，以便交易者可以理解和验证它。向作者致敬！您可以免费使用它，但在出版物中重复使用此代码受网站规则约束。 您可以收藏它以在图表上使用。
Check out the indicators we are making at luxalgo: tradingview.com/u/LuxAlgo/
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。