Monday, April 28, 2008 12:58:01 PM
LSMA - Least Squares Moving Average
Also called "moving linear regression" or "regression oscillator".
This indicator displays the statistical trend of a security's price over a specified time period. This is done by linear regression analysis. The indicator is constructed by plotting the last point a linear regression trendline for each period point.
Now you do the leg work.
There is an easy way and then there is a hard way.
Moving average model
The notation MA(q) refers to the moving average model of order q:
X_t = \varepsilon_t + \sum_{i=1}^q \theta_i \varepsilon_{t-i}\,
where the θ1, ..., θq are the parameters of the model and the εt, εt-1,... are again, the error terms. The moving average model is essentially a finite impulse response filter with some additional interpretation placed on it.
Autoregressive moving average model
The notation ARMA(p, q) refers to the model with p autoregressive terms and q moving average terms. This model contains the AR(p) and MA(q) models,
X_t = \varepsilon_t + \sum_{i=1}^p \varphi_i X_{t-i} + \sum_{i=1}^q \theta_i \varepsilon_{t-i}.\,
What did you choose?
QT link in IBOX.
Happy trading.
Farooq
Farooq
This post is for educational and amusement purposes only, and is not to be interpreted as trading advice. Consult your financial adviser before placing any trade.
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