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.
リリースノート:
Small bug fix.
リリースノート:
adapted for very small asset values
リリースノート:
Added Predictor Coloring