This study is an experimental variation of Peter Martin's Ulcer Index that calculates the risk measures in the long and short direction for comparison. The index is a measure of volatility that can be used to locate low risk trading opportunities.
This is an experimental study that takes a moving average of price, then offsets the average by up to 11 consecutive Fibonacci numbers from 1 to 144. Choose between Kaufman's Adaptive Moving Average, Hull Moving Average, Fractal Adaptive Moving Average, Geometric Moving Average, or Exponential Moving Average.
Plots the upper and lower average true range away from the previous days close on all time frames.
This study is an experimental combination of the Kaufman Adaptive Moving Average with ATR and Fibonacci percentages.
This is a simple study designed to show the percentage of increase and decrease for each new bar or specified interval. Custom alerts with adjustable thresholds included.
This is an experimental study designed to show discrepancies in price using the formula S(a/$) = S(a/b)*S(b/$). For example: EUR/USD = (EUR/GBP)(GBP/USD), USD/JPY = (USD/CHF)(CHF/JPY), etc. NOTE: If the pairs you entered do not fit this criteria, the results are invalid. Different Charting types deliver different divergences.
This is an experimental study designed to show discrepancies in price using the formula S(a/$) = S(a/b)*S(b/$). For example: EUR/USD = (EUR/GBP)(GBP/USD), USD/JPY = (USD/CHF)(CHF/JPY), etc. NOTE: If the pairs you entered do not fit this criteria, the results are invalid. Different Charting types deliver different divergences.
This is an experimental study using Kaufman Adaptive Moving Average (KAMA), ATR Decay, Linear Regression Bands, and McGinley Dynamic smoothing.
This is a simple study designed to visualize price correlation coefficients between multiple securities.
This is a simple study designed to visualize price correlations between securities.
The indicator Moving Average Channels was created for experimental purposes due to the parabolic moves BTC has made in the recent past. How it works: The basis, or center line, is a standard moving average that is set by the user. The bands are then a customizable percentage of the basis. Which based on the settings, could serve as possible support and...
Indicator designed for cryptotraders to understand whether if the price change is supported by the volume or not deafult value os SMA of volume is 21 periods which can be optimized by the user
The Anomaly Indicator is an idea I recently come up with. Its very simple, yet it can be extremely useful. The Anomaly indicator detects the current and general trend channels. When the yellow line which is the current channel, exits the general channel this will usually mean an anomaly. Anomalies can vary within meaning, from a trend reversal, a market change...
Multiple Exponential Moving Average : 7, 77, 231 Bollinger Bands Parabolic SAR
This study is a Bollinger Band indicator that shows the fractional stddev levels between the main bands. You can choose upto 6 Stddev Main Levels (ie 6*StdDev), with 0,1,3,4, or 9 fractional levels. Other options available are: Use different MA types for Basis of Bollinger: SMA, EMA, WMA and VWMA are good choices. Show previous days closing price. Show...
This indicator alert study attempts to detect confirmed Swing points. It uses Bollinger Band centre line crosses as the main signal. The main detection occurs by looking for the first BB centre line cross that was initiated from outside the Bollinger Channel (alternatively KC channel can be used). The optional HullMA (any any other MA pair) are used to confirm the...
This indicator used to calculate the statistical volatility, sometime called historical volatility, based on the Extreme Value Method. Please use this link to get more information about Volatility. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
This indicator used to calculate the statistical volatility, sometime called historical volatility, based on the Extreme Value Method. Please use this link to get more information about Volatility.