Candle Percent Volatility by AllenlkThis indicator gives you the percentage movement of each candle. Measurements are taken between the candle High point and Low point, and also between the Open and Close and calculated in percent %. From there it smooths out the data with a moving average. This gives you an idea of how much volatility is within each candle given the time resolution of the chart.
I like to use this information as a way to turn off a strategy, or select a proper time resolution for a strategy. If each candle has less than 2.5% Volatility most strategies will typically buy and sell rapidly at prices that are too close together, potentially losing money. During those times it seems best to either temporarily turn off the strategy, change the time resolution or switch to another strategy.
Volatilityindicator
Linear Regression Channel / Curve / Slope by DGTTʜᴇ Lɪɴᴇᴀʀ Rᴇɢʀᴇꜱꜱɪᴏɴ Cʜᴀɴɴᴇʟꜱ
Linear Regression Channels are useful measure for technical and quantitative analysis in financial markets that help identifying trends and trend direction. The use of standard deviation gives traders ideas as to when prices are becoming overbought or oversold relative to the long term trend
The basis of a linear regression channel
Linear Regression Line – is a line drawn according to the least-squares statistical technique which produces a best-fit line that cuts through the middle of price action, a line that best fits all the data points of interest. The resulting fitted model can be used to summarize the data, to predict unobserved values from the same system. Linear Regression Line then present basis for the channel calculations
The linear regression channel
2. Upper Channel Line – A line that runs parallel to the Linear Regression Line and is usually one to two standard deviations above the Linear Regression Line.
3. Lower Channel Line – This line runs parallel to the Linear Regression Line and is usually one to two standard deviations below the Linear Regression Line.
Unlike Fibonacci Channels and Andrew’s Pitchfork, Linear Regression Channels are calculated using statistical methods, both for the regression line (as expressed above) and deviation channels. Upper and Lower channel lines are presenting the idea of bell curve method, also known as a normal distribution and are calculated using standard deviation function.
A standard deviation include 68% of the data points, two standard deviations include approximately 95% of the data points and any data point that appears outside two standard deviations is very rare.
It is often assumed that the data points will move back toward the average, or regress and channels would allow us to see when a security is overbought or oversold and ready to revert to the mean
please note : Over time, the price will move up and down, and the linear regression channel will experience changes as old prices fall off and new prices appear
█ Linear Regression Study Features
Linear Regression Channel
- Linear regression line as basis
- Customizable multiple channels based on Standard Deviation
- ALERTs for the channel levels
Linear Regression Curve
- Linear regression curve as basis
- Optional : Bands based on Standard Deviation or Volatility (ATR). Bands are applied with fixed levels 1, 2 and 3 times StdDev or ATR away from the curve
Linear Regression Slope
- Optional : Up/Down slope arrows for a used defined period
█ Volume / Volatility Add-Ons
High Volatile Bar Indication
Volume Spike Bar Indication
Volume Weighted Colored Bars
Moving Average Gap AnalyzerExtremely simple algorithm in order to calculate the gap between 2 simple moving averages. Analyzing perspective defines the line of color as white, green or red. This is done by checking sources of both moving averages and evaluate their past values with the mutual length respectively. Analysis is done by scoring the movements of sources.
What to expect?
- Higher the gap, higher the volatility.
- If the analysis line is green sources have been raising (most likely bull market), if the analysis line is white the market is mostly likely close to horizontal, if the analysis line is red, sources have been decreasing gradually (most likely bear market).
ps. Genuine indicator idea of me. This indicator is not a product or an idea of any group I work with. Completely clear of all types of IP.
Cross Asset VolatilityThis script brings together a number of volatility indexes from the CBOE in one space making it easier to use rather than adding a number of different securities to one chart. One could create a template with these securities attached, but sometimes, you don't want to switch charts, for whatever reason, and adding an indicator for is quick and simple.
One note is that due some securities exhibit much larger volatility than others (i.e. oil vs bonds) and it can be difficult to see clearly those securities whose volatilities are low, and hence we have added the ability to calculate the values as a Log value to make the indicator more readable. Another way to do this is to change the Y-axis on the chart to Logarithmic while leaving the indicator at its default settings (i.e. the checkbox for using Log calculations remains unchecked).
Volatility (Body and Weighted Shadow)- Volatility Indicator
- Replacement for ATR
- As each pair holds a different level of volatility, a stop loss can be set using this indicator rather than via a ratio 2:1, etc. e.g. 2 X Volatility Value = S/L...
- This indicator averages the bodies of candlesticks over a default length of 14 periods. It also considers the length of shadows via a weighted average. This is done as it is assumed that financial institutions tend to move price to levels that do not hold (shadows). Therefore, wick lengths are less significant than the candlestick bodies, so they are weighted to hold less value.
