█ OVERVIEW This tool is based on both Bollinger Bands and Keltner Channels, and measures 3 distances between the two, respectively. Upper Kelt to Upper Bollinger Band Lower Kelt to Lower Bollinger Band Kelt Basis to Bollinger Basis Basis Similar to the Band Width indicator, this can be used as a measure of volatility, and can be used to measure...
Like the PRX Indicator (which is also available) this PRX Strategy includes all the elements necessary to run the PRX Trading System or to incorporate any of its elements into your own analysis. But since this is a strategy it also includes all of the system entry and exit orders which allows them to be displayed on the charts and backtested in different...
This PRX Indicator includes all the elements necessary to run the PRX Trading System or to incorporate any of its elements into your own analysis and we’ve made it available here for those that want to use the same tools that we use ourselves. The primary concept is the identification of trends by way of a customized PSAR (Parabolic Stop and Reverse) calculation...
The Turtle Trading approach* is a trend following system that uses volatility for position size. *(Richard Dennis & William Eckhardt ) Turtle traders use the N unit system for risk management, which has its own advantages. This indicator offers beginners a simple interface that uses the same logic. Using ATR (Average True Range) to measure volatility. The...
**Hello. Because of my poor English skill, there may be many grammatically incorrect sentences in the description below. Thank you in advance for your understanding. ** Copperhead This is a strategy created by combining three 4LBS channels, with the goal of catching the most volatile points, the points that are profitable as soon as you enter the...
!Review This indicator automatically calculates the best trade entry based on volume and real-time volatility. After the algorithm analyzes the current characteristics of the market, an entry signal is placed on the chart. As a result, the trader can be sure that the signal is based on data analysis. One of the key elements is reverse transactions. A long or short...
This indicator shows the expected range of movement of price given the assumption that price is log-normally distributed. This includes 3 multiples of standard deviation and 1 user selected level input as a multiple of standard deviation. Expected assumes that volatility remains static on the next bar. In reality, this may or may not be the case, so use caution...
This is an indicator that shows the inflow and outflow of volume into a financial instrument. Volume is likely one of the most underrated source of data in trading unfortunately so there seems to be a lack of studies on it. The size of the candle is related to the strength of the move. The calculations for this are: cumulative sum of +volume if open < close OR...
============ ENGLISH ============ - Description: This is a utility indicator, it prints a table with ATR for 3 custom timeframes, using the ATR of basis, it calculates volatility (%) and a recommended leverage depending on your risk settings. I use this tool to determine the leverage for each asset and keep the same risk management for all of them. - Visual: It...
============ ENGLISH ============ - Description: This is a simple strategy using 2 SuperTrends, a larger one for entries and smaller for Stop Loss, Take Profit is calculated via risk reward custom setting. The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe. You can customize settings for both...
This indicator is built with the purpose of keeping things simple and user-friendly. It is a custom formula I developed lately and it signals pretty accurately changes of direction in the price. Added an Alert option to it lately - with customizable...
Value at Risk can also be computed parametrically using a method known as variance/co-variance VaR. This method allows you to simulate a range of possibilities based on historical return distribution properties rather than actual return values. It's actually more accurate even though it assumes a normal distribution especially when not much data is available
Introduction Hello community, here I applied the Inverse Fisher Transform, Ehlers dominant cycle determination and smoothing methods on a simple Rate of Change (ROC) indicator You have a lot of options to adjust the indicator. Usage The rate of change is most often used to measure the change in a security's price over time. That's why it is a momentum...
Hello! This is simply Bollinger Bands calculated with HMA! Heres a recap on both. The Hull Moving Average (HMA) attempts to minimize the lag of a traditional moving average while retaining the smoothness of the moving average line. Developed by Alan Hull in 2005, this indicator makes use of weighted moving averages to prioritize more recent values and greatly...
Despite its crude name, the volatility system strategy, described by Richard Bookstaber in 1984, follows the simple premise that once there is a big volatile movement, the market tends to follow it. Thus, it uses the ATR to measure the volatility, and issues orders when the current change of the closing price exceeds the threshold, calculated by the ATR times a...
This index is a composition of all major market liquidity factors including: - Volatility (Interest Rates, Bonds, and Equities) - Federal Reserve Balance Sheet - Dollar Demand This indicator compiles the major concepts of liquidity that Market Radar illustrated over time into one easy-to-understand chart. This index measures how "illiquid" conditions are. The...
█ OVERVIEW This indicator displays a directional variant of Perry Kaufman's Efficiency Ratio, designed to gauge the "efficiency" of intrabar price movement by comparing the sum of movements of the lower timeframe bars composing a chart bar with the respective bar's movement on an average basis. █ CONCEPTS Efficiency Ratio (ER) Efficiency Ratio...
This is the Stochastic Oscillator but now instead of reading it raw we sum the stochastic over a window and then take the cumulative sum of the difference. This allows us to have a much smoother representation of the stochastic while seeing the true momentum relative to it. I hope you can find this useful! Refresher on Stochastic: Stochastics are range bound...