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업데이트됨 Alpha Trading - Deviation Log Pro - Coder Wolves

Alpha Trading - Deviation Log Pro
Here at Alpha Trading we love our indicators built on returns. In our view, the only way to play divergences in Trading is divergences between Returns based oscillators and Price.
The Alpha Trading Deviation Log Pro displays a mean of log returns, with returns and price both weighted using our proprietary root mean square (RMS) Z-Score.
We also show standard error and confidence intervals.
Within the indicator settings, you can apply alerts to the RMS Z Score, as well as an option to turn on triangle and square shapes to assist with showing potential buy/sell and get out of trade signals.
Things to Understand First
Standard Error
The term "standard error" is used to refer to the standard deviation of various sample statistics, such as the mean or median. For example, the "standard error of the mean" refers to the standard deviation of the distribution of sample means taken from a population. The smaller the standard error, the more representative the sample will be of the overall population.
The relationship between the standard error and the standard deviation is such that, for a given sample size, the standard error equals the standard deviation divided by the square root of the sample size. The standard error is also inversely proportional to the sample size; the larger the sample size, the smaller the standard error because the statistic will approach the actual value.
The standard error is considered part of inferential statistics. It represents the standard deviation of the mean within a dataset. This serves as a measure of variation for random variables, providing a measurement for the spread. The smaller the spread, the more accurate the dataset.
Confidence Interval
A confidence interval is a range of values where an unknown population parameter is expected to lie most of the time, if you were to repeat your study with new random samples.
With a 95% confidence level, 95% of all sample means will be expected to lie within a confidence interval of ± 1.96 standard errors of the sample mean.
Settings
• Confidence Intervals plotted with Green and Red Horizontal Lines
• Standard Error Mean - Plotted as a blue dots
• Standard Error Upper - Plotted as a grey line
• Standard Error Lower -Plotted as grey line
• RMS Z-Score Alerts shown as Red and Green Dots
• Potential Buy Signal Green Triangle Up
• Potential Sell Signal - Red Triangle Down
• Get out of Long Trade - White Square
• Get Out of Short Trade - White Square
The Chart below is showing the Divergences between Returns and Price Action over a long term trend of a time series, no matter the time frame.

Here at Alpha Trading we love our indicators built on returns. In our view, the only way to play divergences in Trading is divergences between Returns based oscillators and Price.
The Alpha Trading Deviation Log Pro displays a mean of log returns, with returns and price both weighted using our proprietary root mean square (RMS) Z-Score.
We also show standard error and confidence intervals.
Within the indicator settings, you can apply alerts to the RMS Z Score, as well as an option to turn on triangle and square shapes to assist with showing potential buy/sell and get out of trade signals.
Things to Understand First
Standard Error
The term "standard error" is used to refer to the standard deviation of various sample statistics, such as the mean or median. For example, the "standard error of the mean" refers to the standard deviation of the distribution of sample means taken from a population. The smaller the standard error, the more representative the sample will be of the overall population.
The relationship between the standard error and the standard deviation is such that, for a given sample size, the standard error equals the standard deviation divided by the square root of the sample size. The standard error is also inversely proportional to the sample size; the larger the sample size, the smaller the standard error because the statistic will approach the actual value.
The standard error is considered part of inferential statistics. It represents the standard deviation of the mean within a dataset. This serves as a measure of variation for random variables, providing a measurement for the spread. The smaller the spread, the more accurate the dataset.
Confidence Interval
A confidence interval is a range of values where an unknown population parameter is expected to lie most of the time, if you were to repeat your study with new random samples.
With a 95% confidence level, 95% of all sample means will be expected to lie within a confidence interval of ± 1.96 standard errors of the sample mean.
Settings
• Confidence Intervals plotted with Green and Red Horizontal Lines
• Standard Error Mean - Plotted as a blue dots
• Standard Error Upper - Plotted as a grey line
• Standard Error Lower -Plotted as grey line
• RMS Z-Score Alerts shown as Red and Green Dots
• Potential Buy Signal Green Triangle Up
• Potential Sell Signal - Red Triangle Down
• Get out of Long Trade - White Square
• Get Out of Short Trade - White Square
The Chart below is showing the Divergences between Returns and Price Action over a long term trend of a time series, no matter the time frame.
릴리즈 노트
Small bug fix.릴리즈 노트
adapted for very small asset values릴리즈 노트
Added Predictor Coloring릴리즈 노트
Updated code for selecting plot types릴리즈 노트
re-push update to have correct indicator photo show on TV초대 전용 스크립트
오써가 승인한 유저만 이 스크립트에 액세스할 수 있으며, 이를 위해서는 일반적으로 결제가 필요합니다. 이 스크립트를 즐겨찾기에 추가할 수는 있지만 오써에게 권한을 요청하여 권한을 얻은 뒤에야 쓸 수 있습니다 - 여기에서 자세히 알아보세요. 자세한 내용은 아래 오써의 안내를 따르거나 AlphaTrading-WolfPack에게 직접 문의하세요.
트레이딩뷰는 스크립트 작성자를 완전히 신뢰하고 스크립트 작동 방식을 이해하지 않는 한 스크립트 비용을 지불하거나 사용하지 않는 것을 권장하지 않습니다. 무료 오픈소스 대체 스크립트는 커뮤니티 스크립트에서 찾을 수 있습니다.
작성자 지시 사항
To gain access to this script request support in the Alpha Trading Discord. https://discord.gg/kwBnS9Gu
경고: 액세스를 요청하기 앞서 초대 전용 스크립트에 대한 가이드를 읽어주세요.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.
초대 전용 스크립트
오써가 승인한 유저만 이 스크립트에 액세스할 수 있으며, 이를 위해서는 일반적으로 결제가 필요합니다. 이 스크립트를 즐겨찾기에 추가할 수는 있지만 오써에게 권한을 요청하여 권한을 얻은 뒤에야 쓸 수 있습니다 - 여기에서 자세히 알아보세요. 자세한 내용은 아래 오써의 안내를 따르거나 AlphaTrading-WolfPack에게 직접 문의하세요.
트레이딩뷰는 스크립트 작성자를 완전히 신뢰하고 스크립트 작동 방식을 이해하지 않는 한 스크립트 비용을 지불하거나 사용하지 않는 것을 권장하지 않습니다. 무료 오픈소스 대체 스크립트는 커뮤니티 스크립트에서 찾을 수 있습니다.
작성자 지시 사항
To gain access to this script request support in the Alpha Trading Discord. https://discord.gg/kwBnS9Gu
경고: 액세스를 요청하기 앞서 초대 전용 스크립트에 대한 가이드를 읽어주세요.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.