"It is a true fact that any given time history of any event (including the price history of a stock) can always be considered as reproducible to any desired degree of accuracy by the process of algebraically summing a particular series of sine waves. This is intuitively evident if you start with a number of sine waves of differing frequencies, amplitudes, and...

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##Wave Chart v2## For analyzing Neo-wave theory Plot the market's highs and lows in real-time order. Then connect the highs and lows with a diagonal line. Next, the last plot of one day (or bar) is connected with a straight line to the first plot of the next day (or bar).

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This indicator uses a simple time series forecasting method derived from the similarity between recent prices and similar/dissimilar historical prices. We named this method "ECHO". This method originally assumes that future prices can be estimated from a historical series of observations that are most similar to the most recent price variations. This similarity...

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This indicator returns pivot point high/lows alongside the percentage change between one pivot and the previous one (Δ%) and the distance between the same type of pivots in bars (Δt). The trailing mean for each of these metrics is returned on a dashboard on the chart. The indicator also returns an estimate of the future time position of the pivot points. 1....

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description: • Zig Zag indicator plots points on the chart whenever prices reverse by a percentage greater than a pre-chosen variable. • Forecasts area based on zigzag statistics. • Displays labels with detected patterns. • Displays slope information rate of price, time diferentials and angle(experimental)

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experimental: zigzag indicator with all the zigzag methods that im aware of(that matter atleast), theres something for all tastes there :P this will be the basis for zigzag tools i make in the future. note: some zigzags REPAINT.

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Fourier Spectrometer of Price w/ Extrapolation Forecast is a forecasting indicator that forecasts the sinusoidal frequency of input price. This method uses Linear Regression with a Fast Fourier Transform function for the forecast and is different from previous forecasting methods I've posted. Dotted lines are the forecast frequencies. You can change the UI...

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An indicator that forecasts the next period's pivots.

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The following script allows for the extrapolation of a Cubic Bézier Curve fit using custom set control points and can be used as a drawing tool allowing users to estimate underlying price trends or to forecast future price trends. Settings Extrapolation Length: Number of extrapolated observations. Source: Source input of the script. Style Width:...

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A probability cone is an indicator that forecasts a statistical distribution from a set point in time into the future. Features Forecast a Standard or Laplace distribution. Change the how many bars the cones will lookback and sample in their calculations. Set how many bars to forecast the cones. Let the cones follow price from a set number of bars back. ...

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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...

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Today we'll link time series forecasting with signal processing in order to provide an original and funny trend forecasting method, the post share lot of information, if you just want to see how to use the indicator then go to the section "Using The Indicator". Time series forecasting is an area dealing with the prediction of future values of a series by using a...

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Reverse Indicator calculation: Oscillators value output are calculated based on the input price (open, high, low or close). This means certain input price can generate the according to the output value of the oscillator. They are both sides of an equation, the process is reversible. Once we know one side of the equation, we can get the value of the other side. We...

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Logarithmic regression is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span). The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75% or 95% confidence line. This...

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Draws a volatility cone on the chart, using the contract's realized volatility (rv). The inputs are: - window: the number of past periods to use for computing the realized volatility. VIX uses 30 calendar days, which is 21 trading days, so 21 is the default. - stdevs: the number of standard deviations that the cone will cover. - periods to project: the length of...

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The Forecast Oscillator is a technical indicator that compares a security close price to its time series forecast. The time series forecast function name is "tsf" and it calculates the projection of the price trend for the next bar. The Forecast Oscillator and therefore the time series forecast are based on linear regression. The time series forecast indicator...

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This is an experimental study designed to forecast the range of price movement from a specified starting point using a Monte Carlo simulation. Monte Carlo experiments are a broad class of computational algorithms that utilize random sampling to derive real world numerical results. These types of algorithms have a number of applications in numerous fields of study...

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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...

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