Trend & Contrarian (Expo) is a powerful trend tool with adaptive contrarian- signals. A strong trend is displayed by the background color and the unique Trend dots/line can be used to confirm a strong trend or to identify early trend reversals. The contrarian-signals are adapting dynamically to price moves and should be used as 'preparation' or 'warning' prior to...
THE 'PROBLEM'
A lot of buy and sell strategies are based on price action being at a particular (support) level, crossovers of different moving averages or of price action over moving averages. Whilst this is a safe way to trade, the price paid is lost earnings , whilst one waits for price/moving averages to reach a particular level/configuration. So for instance...
This study is based on several Price Action parameters of :-
• Candle Pattern,
• Supply Demands,
• Support and Resistance ,
• Breakouts,
• Trend Series Forecasting,
• Average true Range,
• Neural Smoothing With Alpha, Beta Calculations for Filtering wrong trend breakouts.
► How To Use This Study ?
• This Study is for positional trading.
• Buy Whenever a GREEN Up...
The Garch (General Autoregressive Conditional Heteroskedasticity) model is a non-linear time series model that uses past data to forecast future variance.
The Garch (1,1) formula is:
Garch = (gamma * Long Run Variance) + (alpha * Squared Lagged Returns) + (beta * Lagged Variance)
The gamma, alpha, and beta values are all weights used in the Garch calculations....
This is the optimized version of my MTFSBB indicator with capability of possible bands prediction in case of negative shifting (to the left).
Make me happy by using it and sending me your ideas about the prediction.
What is Probability?
It is a measure for calculating the chances or the possibilities of the occurrence of a random event. In simple words, it calculates the chance of the favorable outcome amongst the entire possible outcomes. Mathematically, if you want to answer what is probability, it is defined as the ratio of the number of favorable events to the total...
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...
Hello , this script is the ANN Forecast version of my "Dependent Variable Odd Generator " script.
I went to simplify a bit because the deep learning calculations are too much for this command.
The latest instruments included:
WTI : West Texas Intermediate (WTICOUSD , USOIL , CL1! ) Average error : 0.007593
BRENT : Brent Crude Oil ( BCOUSD , UKOIL , BB1! )...
In this script, I tried to integrate ANN Forecast Algorithm on Stochastic Oscillator.
It took me quite a while, but i guess it worth.
After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate Forecast Stoch system.
The system is trained with ANN values of ANN MACD 25 in 1.
The Forecast algorithm is...
In this script, I tried to convert ANN MACD to MACD Forecast.
It took me quite a while, but it was fun.
After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate Forecast MACD system.
The system is trained with ANN values of ANN MACD 25 in 1.
But because the system is overloaded, only the most...
This script is for a triple moving average indicator where the user can select from different types of moving averages, price sources, lookback periods and resolutions.
Features:
- 3 Moving Averages with variable MA types, periods, price sources, resolutions and the ability to disable each individually
- Crossovers are plotted on the chart with detailed...
This script is for a triple moving average indicator where the user can select from different types of moving averages, price sources and lookback periods.
Features:
- 3 Moving Averages with variable MA types, periods, price sources and ability to disable each individually
- Crossovers are plotted on the chart with detailed information regarding the crossover...
This script is written totally thanks to Alex Grover (). Here it is implemented in conjunction with the seasonal forecast I showed in one of my previous posts. It takes the calculated QReg curve and extends its last section (Season) into the future (Forecasted periods).
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 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.
Holt's Forecasting method
Holt (1957) extended simple exponential smoothing to allow the forecasting of data with a trend. This method involves a forecast equation and two smoothing equations (one for the level and one for the trend):
Forecast equation: ŷ = l + h * b
Level equation: l = alpha * y + (1 - alpha) * (l + b)
Trend equation: b = beta * (l - l)...
![XBTUSD.P: ANN Forecast Stochastic Oscillator [Noldo]](https://s3.tradingview.com/y/YYw2DY9i_mid.png "ANN Forecast Stochastic Oscillator [Noldo]")
![XBTUSD.P: ANN Forecast MACD [Noldo]](https://s3.tradingview.com/n/NMpXw3Z8_mid.png "ANN Forecast MACD [Noldo]")
