For completeness here is a naive method with seasonality. The idea behind naive method with seasonality is to take last value from same season and treat it as a forecast. Its counterpart, naive method without seasonality, involves taking last mean value, i.e forecast = sma(x, p) .
This script allows you to add three moving averages where the type of moving average can be chosen from 17 different moving average.
Moving Average Types:
// SMA Simple
// WMA Weighted
// VWMA Volume Weighted
// EMA Exponential
// DEMA Double EMA
// ALMA Arnaud Legoux
// HMA Hull MA
// SMMA Smoothed
// LSMA Least Squares
// KAMA Kaufman Adaptive
// TEMA Triple...
This is a continuation of my series on forecasting techniques. The idea behind the Simple Mean method is to somehow extend historical mean to the future. In this case a forecast equals to last value plus average change.
A Study of Moving Average Types
// SMA Simple
// WMA Weighted
// VWMA Volume Weighted
// EMA Exponential
// DEMA Double EMA
// ALMA Arnaud Legoux
// HMA Hull MA
// SMMA Smoothed
// LSMA Least Squares
// KAMA Kaufman Adaptive
// TEMA Triple EMA
// ZLEMA Zero Lag
// FRAMA Fractal...
This is an EMA with 4 lines, preset to 10,20,55 and 200. You can change the numbers of each line to whatever you want. There are also two cross indicators built in, one for the 10/20 and one for the 55/200. Individual lines and crosses can be shown or hidden in the settings.
This is a full-fledged implementation of a system presented in an unique research paper 'Profitability of Candlestick Charting Patterns in the Stock Exchange of Thailand' (2017) on candlestick charting, candlestick patterns, trend identification methods, and testing.
You can easily find this paper in the Web. For example, visit: www.researchgate.net
This script...
Dear all, you might wonder is there a confirmation indicator that has a high hit rate, is dependable, and could rely on the information it gives you when making a decision?
Here I present an indicator I developed specifically for cryptocurrency, in the minds of eliminating fakeouts and traps.
Trend is always invalid then there is a lack of volume, so by...
This update to the previous HMA-Kahlman Trend, Clipping & Trendlines script features the same structure with the three modules:
- Trendlines module,
- NEW Winsorizing submodule using difference-based filtering.
- HMA-Kahlman Trend module.
The Winsorizing submodule filters signals by a volume level, eliminating the ones with the volume below a threshold. This...
5 SMA(high, low, close) = short-term line(Orange)
34 SMA(high, low, close) = long-term line(Green & Red)
If 5 SMA is above 34 SMA = Green color, If 5 SMA is below 34 SMA = Red color
