Our new "Z Pack" indicator is a modified version of the traditional Bollinger Bands indicator, with a bunch of additional features what makes it a powerful tool that allows traders to make informed decisions based on the market's volatility and short-term trend. The z-score of the Bollinger Bands indicator is a measure of how many standard deviations the current...
This new technical indicator uses the stochastic oscillator as its base and calculates the deviation of its moving average, generating an alternative view of market volatility.
— Overview Fair value bands, like other band tools, depict dynamic points in price where price behaviour is normal or abnormal, i.e. trading at/around mean (price at fair value) or deviating from mean (price outside fair value). Unlike constantly readjusting standard deviation based bands, fair value bands are designed to be smooth and constant, based on typical...
This strategy search for a moment whe the market make two candles are consistently strong, and open a Sell, searching the imediactly correction, on the new candle. It`s easy to see the bars on the histogram graph. Purple Bars represent the candle variation. when on candle cross ove the Signal line the graph plot an Yellow ci, if the second bar crossover the signal...
This is just experimental. I wanted the flexibility in looking at volatility and this indicator gives you several ways to do so. I haven't figured out the best way to use this yet but I suspect that as a form of entry confirmation indicator would be best. If you find a way this works well for you please drop me a note. It would nice know someone found a way to...
Mean reversion is a financial term for the assumption that an asset will return to its mean value. This indicator calculate the volatility of an asset over a period of time and show the values of logRerturn, mean and standart deviations. The default time period for volatility calculation is 252 bars at a "Daily" chart. At a "Daily" chart 252 bar means one...
Mean reversion is a financial term for the assumption that an asset will return to its mean value. This indicator calculate the logarithmic returns (logReturn) of an asset over a period of time and show the values of logRerturn, mean and standart deviations. The default time period for logReturn calculation is 252 bars at a "Daily" chart. At a "Daily" chart 252...
Displays Multi-TF VWAP with Std Dev Bands. Developing VWAP and Std Dev Bands Previous VWAP and Std Dev Bands Previous VWAP Extensions Some Examples
This volatility cone draws the implied volatility as standard deviations from a measurement date. For best results set measurement date to high volume bars. How to use: 1) Select VolatilityCone from Indicators 2) Click to the chart to set the measurement date 3) Determine the impliedvolatility for the measurement date of your symbol e.g. For S&P500 use VIX...
I developed this indicator as a "regime detection" for my algo trading bot. It uses the ADX +/- values with a few twists. - If ADX DI+ is over 30 and DI- is below 20 and falling (inverse for shorts) - Price action rising/falling thru various VWAP standard deviations indicates a strong trend break - Some other custom juju (open source so have fun). I use this...
VWAP Market Session Anchored differs from the traditional VWAP or VWAP Auto Anchored indicator in that the Volume Weighted Average Price calculation is automatically anchored to four major market session starts: Sydney, London, Tokyo, New York. Settings Source: the source for the VWAP calculation. Offset: changing this number will move the VWAP either...
An effort to enhance auto-trading based on Gaussian Filter with Standard Deviation Filtering, Trading True Range and Smoothed SMA was added to remove noise contributing to ranging markets and unwanted entries against established trend. Gaussian parameters need to be adjusted for different asset pair to find its own "signature", then filter out bad entry with TTR...
dear fellows, this indicator is an effort to determine the range where the prices are likely to fall within in the current candle. how it is calculated 1. obtain a. gain from the open to the high b. loss from the open to the low in the last 20 (by default) candles and in the last 200 (10*20 by default) candles 2. perform a. the geometric average (sma of the...
The code uses the concept of mean reversion. Mean reversion suggests that price over a period of time reverts back to its statistical mean. In simple terms, it means if a price has drifted apart from the statistical mean, after a certain amount of time, it will revert back to its statistical mean. This drift is measured via z-score. When the z-score value is high,...
With thanks to @longfiat whose US Treasury Yield Curve served as the basis for this indicator This is created very quickly to provide a sense of the GB Gilt Yield curve in light of government induced market dysfunction as a result of an ill-conceived mini-budget. Note that I omitted GB04Y, GB06Y, GB08Y, GB09Y and GB12Y to avoid overcrowding the chart with excess...
🔮☁️ This is the BASIC version of the PROBABILITY CLOUD indicator. It is an evolution beyond traditional standard deviation probabilistic indicators only using bands or channels. The new PROBABILITY CLOUD graphic representation with customizable transparent layers is based on -2 / +2 standard deviation calculated using 20 fixed predetermined time periods, and is...
Overview: One-stop shop for all your divergence needs, including: (1) A single metric for divergence strength across multiple indicators. (2) Labels that make it easy to spot where the truly strong divergence is by showing the overall divergence strength value along with the number of divergent indicators. Hovering over the label shows a breakdown of each...
The standard deviation is a measure of how much a dataset differs from its mean; it tells us how dispersed the data are. A dataset that’s pretty much clumped around a single point would have a small standard deviation, while a dataset that’s all over the map would have a large standard deviation. You can. use this calculation for other indicators. Given a sample...