█ Overview The Price & Volume Profile provides a holistic perspective on market dynamics by simultaneously tracking price action and trading volume across a range of price levels. So it is not only a volume-based indicator but also a price-based one. In addition to illustrating volume distribution, it quantifies how frequently the price has fallen within a...
█ Overview The Volume Orderbook indicator is a volume analysis tool that visually resembles an order book. It's used for displaying trading volume data in a way that may be easier to interpret or more intuitive for certain traders, especially those familiar with order book analysis. This indicator aggregate and display the total trading volume at different...
The discrete Fourier transform (DFT) overlay uses a discrete Fourier transform algorithm to identify trend direction. This is a simpler interpretation that only uses the magnitude of the first frequency component obtained from the DFT algorithm, but can be useful for visualization purposes. I haven't seen many Fourier scripts on TradingView that actually have the...
█ Overview The Pattern Forecast indicator is a technical analysis tool that scans historical price data to identify common chart patterns and then analyzes the price movements that followed these patterns. It takes this information and projects it into the future to provide traders with potential price actions that may occur if the same pattern is identified...
█ OVERVIEW WaveTrend 3D (WT3D) is a novel implementation of the famous WaveTrend (WT) indicator and has been completely redesigned from the ground up to address some of the inherent shortcomings associated with the traditional WT algorithm. █ BACKGROUND The WaveTrend (WT) indicator has become a widely popular tool for traders in recent years. WT was first...
Using moving average crossover for identifying the change in trend is very common. However, this method can give lots of false signals during the ranging markets. In this algorithm, we try to find the extreme trend by looking at fully aligned multi-level moving averages and only look at moving average crossover when market is in the extreme trend - either bullish...
American Approximation Bjerksund & Stensland 2002 is an American Options pricing model. This indicator also includes numerical greeks. You can compare the output of the American Approximation to the Black-Scholes-Merton value on the output of the options panel. The Bjerksund & Stensland (2002) Approximation The Bjerksund and Stensland (2002) approximation...
Levinson-Durbin Autocorrelation Extrapolation of Price is an indicator that uses the Levinson recursion or Levinson–Durbin recursion algorithm to predict price moves. This method is commonly used in speech modeling and prediction engines. What is Levinson recursion or Levinson–Durbin recursion? Is a linear algebra prediction analysis that is performed once...
APA Adaptive Fisher Transform is an adaptive cycle Fisher Transform using Ehlers Autocorrelation Periodogram Algorithm to calculate the dominant cycle period. What is an adaptive cycle, and what is Ehlers Autocorrelation Periodogram Algorithm? From Ehlers' book Cycle Analytics for Traders Advanced Technical Trading Concepts by John F. Ehlers , 2013, page...
Double Jurik-Filtered Composite Fractal Behavior (CFB) Channels is a channel indicator that acts as both a baseline, similar to Donchian, and as support and resistance levels. This indicator is price time adaptive meaning it flexes to price volatility waves. The indicators adaptive nature is calculated using the Composite Fractal Behavior (CFB) algorithm. The...
Adaptive, Double Jurik Filter Moving Average (AJFMA) is moving average like Jurik Moving Average but with the addition of double smoothing and adaptive length (Autocorrelation Periodogram Algorithm) and power/volatility {Juirk Volty) inputs to further reduce noise and identify trends. What is Jurik Volty? One of the lesser known qualities of Juirk smoothing...
Ehlers Adaptive Relative Strength Index (RSI) is an implementation of RSI using Ehlers Autocorrelation Periodogram Algorithm to derive the length input for RSI. Other implementations of Ehers Adaptive RSI rely on the inferior Hilbert Transformer derive the dominant cycle. In his book "Cycle Analytics for Traders Advanced Technical Trading Concepts", John F....
Customizable Non-Repainting HTF MACD MFI Scalper Bot Strategy v2 This script was originally shared by Wunderbit as a free open source script for the community to work with. This is my second published iteration of this idea. WHAT THIS SCRIPT DOES: It is intended for use on an algorithmic bot trading platform but can be used for scalping and manual...
A better version of Apirine's RS EMA by using a superior MA: Ehlers Super Smoother. In January 2022 edition of TASC Vitaly Apirine introduced his Relative Strength Exponential Moving Average. A concept not entirely new, as Tushar Chande used a similar calculation for his VIDYA moving average. Both are based on the idea to change EMA length depending on the...
Description This indicator integrates the functionality of multiple volume price analysis algorithms whilst aligning their scales to fit in a single chart. Having such indicators loaded enables traders to take advantage of potential divergences between the price action and volume related volatility. Users will have to enable or disable alternative algorithms...
What is Sniper Entry Sniper Entry is a set indicator that encapsulates a collection of pre-configured scripts using specific variables that enable users to extract signals by interpreting market behaviour quickly, suitable for 1-3min scalping. This instrument is a tool that acts as a confluence for traders to make decisions concerning current market conditions....
Hello traders! I have been developing a fully customizable algo over the last year. The algorithm is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 5: MACD Stochastic RSI RSI Supertrend MA crossover Moreover, the algo includes STOP losses criteria and a taking...
Library "FunctionArrayMaxSubKadanesAlgorithm" Implements Kadane's maximum sum sub array algorithm. size(samples) Kadanes algorithm. Parameters: samples : float array, sample data values. Returns: float. indices(samples) Kadane's algorithm with indices. Parameters: samples : float array, sample data values. Returns: tuple with format .