Library "ctnd" Description: Double precision algorithm to compute the cumulative trivariate normal distribution found in A.Genz, Numerical computation of rectangular bivariate and trivariate normal and t probabilities”, Statistics and Computing, 14, (3), 2004. The cumulative trivariate normal is needed to price window barrier options, see G.F. Armstrong,...
Level 3 Background Some friends in the TradingView community say that my technical indicators are too complicated to write. Is there anything that is easy to use? This time I will publish a simple indicator to use. Function This indicator uses a custom stochastic indicator as its initial value. Calculate the difference between the short-term and long-term EMA...
Library "MovingAverages" vawma(len, src, volumeDefault) VAWMA = VWMA and WMA combined. Simply put, this attempts to determine the average price per share over time weighted heavier for recent values. Uses a triangular algorithm to taper off values in the past (same as WMA does). Parameters: len : The number of bars to measure with. src : The...
This is a vwap & vwma hybrid with upper & lower deviation bands that provide excellent price channels and reversal areas. It can be used on lower & higher timeframes, just increase the deviation % for higher timeframes. Try out the 1 minute timeframe with .5% deviation for great scalping levels. Here is the calculation used for the main line. (VWMA100 + VWMA500...
This indicator is the output of our prediction algorithm. You can use these lines to see where the price may head for the day. These lines are great support and resistance in the market and you can play off them accordingly.
What is Nadaraya–Watson Regression? Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a...
HELLO FRIENDS ...............THIS IS SUPERTREND ADVANCE WITH HENKIASHI CANDLE ...I got so many request on supertrend with henkiashi. This is for all of them ..I am making it open for all so you can change its coding according to your need SOME IMPONTENT UPDATE IN THIS SUPERTRNED 1) You Can Use It for option trading ...you can do algo option trading using this...
Lyapunov Hodrick-Prescott Oscillator w/ DSL is a Hodrick-Prescott Channel Filter that is modified using the Lyapunov stability algorithm to turn the filter into an oscillator. Signals are created using Discontinued Signal Lines. What is the Lyapunov Stability? As soon as scientists realized that the evolution of physical systems can be described in terms of...
Filtered, N-Order Power-of-Cosine, Sinc FIR Filter is a Discrete-Time, FIR Digital Filter that uses Power-of-Cosine Family of FIR filters. This is an N-order algorithm that allows up to 50 values for alpha, orders, of depth. This one differs from previous Power-of-Cosine filters I've published in that it this uses Windowed-Sinc filtering. I've also included a...
Variety Low-Pass FIR Filter, Impulse Response Explorer is a simple impulse response explorer of 16 of the most popular FIR digital filtering windowing techniques. Y-values are the values of the coefficients produced by the selected algorithms; X-values are the index of sample. This indicator also allows you to turn on Sinc Windowing for all window types except...
Fractal-Dimension-Index-Adaptive Trend Cipher Candles is a candle coloring indicator that shows both trend and trend exhaustion using Fractal Dimension Index Adaptivity. To do this, we first calculate the dynamic period outputs from the FDI algorithm and then we injection those period inputs into a correlation function that correlates price input price to the...
Smoother Moving Average w/ DSL is a Smoother Filter indicator with Discontinued Signal Lines to drastically reduce noise and improve signal quality. What is the Smoother Filter? The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA ( Smoothed Moving Average ). It gives earlier signals but can also...
Yo, posting it for the whole internet, took the whole day to find / to design the actual working solution for weighted percentile 'nearest rank' algorithm, almost no reliable info online and a lot of library-style/textbook-style solutions that don't provide on real world production level. The principle: 0) initial data data = 22, 33, 11, 44, 55 weights = 5 ...
T3 Volatility Quality Index (VQI) w/ DSL & Pips Filtering is a VQI indicator that uses T3 smoothing and discontinued signal lines to determine breakouts and breakdowns. This also allows filtering by pips.*** What is the Volatility Quality Index ( VQI )? The idea behind the volatility quality index is to point out the difference between bad and good volatility...
Andean Scalping Implementation - BETA - Uses Andean Oscillator: alpaca.markets - Implements a threshold moving average (SMA 1000) on the Andean Signal line at 1.1 factor to filter out small moves - TP/SL using ATR bands at 3x multiplier
Polynomial Regression Bands w/ Extrapolation of Price is a moving average built on Polynomial Regression. This indicator paints both a non-repainting moving average and also a projection forecast based on the Polynomial Regression. I've included 33 source types and 38 moving average types to smooth the price input before it's run through the Polynomial...
The Value at Risk Channel (VaR Channel) is a trading indicator designed to help traders control the level of risk exposure in their positions. The user can select a time period and a probability value, and the indicator will plot the upper and lower limits that the price can reach during the selected time period with the given probability. CONCEPTS The...
Polynomial-Regression-Fitted Oscillator is an oscillator that is calculated using Polynomial Regression Analysis. This is an extremely accurate and processor intensive oscillator. What is Polynomial Regression? In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent...