Stationary Extrapolated LevelsBeta Peek/Valey based forecast
The idea behind this indicator is to extrapolate a stationary time series and find the peeks of the extrapolated result. The highest and lowest of the extrapolated data represent really precise support and resistance if the data and its extrapolation are barelly equal with an error lower than the average.
When the detrended price ( in blue ) crossover the lower level then the indicator detect a valey and the possibility of an up movement, if the higher is crossed down then the indicator detect a peek and the possibility a down movement.
When "Show extrapolated values" is checked the indicator will show the forecast of the detrended price with a forecast of length periods ahead.
Feel free to contact me for any questions regarding my indicators :)
Forecast
Linear ExtrapolationBasic extrapolator for forecast a time-series, all forecasts are mades length periods ahead.
This is not a estimation of the exact price
This should only be used for forecasting direction, dont expect the price to be at the same value of its forecast.
Bias, Mean absolute error, Mean percentage error...etc look useless here, its better to use correlation as a accuracy measurement.
Correlation(Forecast ,close,period)
Rescaling for a better forecast ?
Transforming a non-stationary signal to a stationary signal can increase the forecasting accuracy, this can be done by detrending. Here is a list of somes detrending methods:
Auto-Bias : price - price
Mean-Bias : price - price moving average
Log transform : log(price/price moving average)
Correlation : correlation(price,n,period)
[RS]Shifted Pivots V1update: added weekly and monthly pivots, the offset is a average approximation so there may be inconsistency on the date forecasted to be end of week/month.
(using diferent sessions or limited time intervals is not possible).
Previous H/Ls and Forecast H/LPlots the previous periods High and Lows (black crosses) and forecasts the next day's High and Lows (gray crosses)
