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...
Library "FunctionForecastLinear" Method for linear Forecast, same as found in excel and other sheet packages. forecast(sample_x, sample_y, target_x) linear forecast method. Parameters: sample_x : float array, sample data X value. sample_y : float array, sample data Y value. target_x : float, target X to get Y forecast value. Returns: float
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...
Note: This description is copied from the script comments. Please refer to the comments and release notes for updated information, as I am unable to edit and update this description. ---------- USAGE This script gives signals based on a volatility forecast, e.g. for a stop loss. It is a simplified version of my other script "trend_vol_forecast", which...
This script helps you evaluate the fair value of an option. It poses the question "if I bought or sold an option under these circumstances in the past, would it have expired in the money, or worthless? What would be its expected value, at expiration, if I opened a position at N standard deviations, given the volatility forecast, with M days to expiration at the...
Returns pivot points high/low 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. This indicator by its...
EXPERIMENTAL: Forecasting using a polynomial regression over the estimates of multiple linear regression forecasts. note: on low data the estimates are skewd away of initial value, i added the i_min_estimate option in to try curve this issue with limited success "o_o.
Function to calculate a forecast using a linear regression approach, this is the same function used on excel and other data sheet programs. reference: - support.microsoft.com - stackoverflow.com
This indicator is designed to pick up changes in volatility before it happens. It also shows current volatility, as price action drops the blue lines contract. The script uses the blue lines to locate spikes in volatility. Example of dump revealing itself with plenty of notice. Here large changes in price action are shown when the white lines spike....
This indicator gives traders historical probabilities based on how often price closed between any two pivot points. What are the features? (as of release) Get the historical statistics of how often price closed between any two pivot points. Manually set your own pivot point resolution to any higher timeframe. So get the historical statistics from any pivot...
This script allows to use 5 different MAs with prediction of the next five periods.
This indicator shows the ROI % of Bitcoin from when it passed its ATH of the previous bull cycle. I found it interesting that each time it crossed its ATH it took around 260-280 days to peak for each one. This bull run seems to follow between both of the previous bull runs including this recent dip. There are a couple issues I want to fix but can't figure out: 1....
There is a public version of this indicator titled "Wayne's Pivots" if you would like to try out something similar to this indicator. Wayne's Pivots Pro is named after Wayne McDonnel who came up with this indicator's pivot trading methodology. Wayne's Pivots are only one part of his methodology, but these pivots are the most critical part. They are frequently...
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...
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...
Moving Regression is a generalization of moving average and polynomial regression. The procedure approximates a specified number of prior data points with a polynomial function of a user-defined degree. Then, polynomial interpolation of the last data point is used to construct a Moving Regression time series. Application: Moving Regression allows one to smooth...
The TBT Forecaster is a visual representation of the "weather forecast" for the crypto market, mainly Bitcoin and ALT coins. Purpose: The reason behind creating this indicator is to help give crypto traders a sense of what to expect in crypto currency markets. In general, crypto markets (ALT coins) are extremely dependent on the price action and sentiment of...
Experimental script to plot a forecast for the Donchian Channels indicator. By using show_last = 2 , the forecast shows a solid line, this gets messed up on the bar when a new high or low is made.. Like the image below. I don't know how to fix that, please tell me if you do :)