Linear weighted moving average (lwma) in the case of weighted moving average, the latest data is of more value than more early data. Weighted moving average is calculated by multiplying each one of the closing prices within the considered series, by a certain weight coefficient.
change that code back to use modelwma and the problem occurs again. This proves the error is located in the lwma algorithm used in imaonarray(). As this error is visible when i change the amount of chart history to be used, i believe it is a cumulative error, in that it probably increases with the amount of chart history.
Known btc clones using lwma are btc gold, btc candy, ignition, pigeon, zelcash, zencash, bitcoinz, xchange, microbitcoin. Testnet checking emai me a link to your code and then send me 200 testnet timestamps and difficulties (csv height, timestamp, difficulty).
as you can see from these two images there are no erroneous beginnings to the imaonarray lines (the dotted ones) when regular arrays are used for counting instead of drawing buffers so i was wrong in my original theory, the error is not within the averageing algorithm itself, it is caused by the implementation of imaonarray and its behaviour with drawing buffers that have empty indexes,.
Linear weighted moving average (lwma) in the case of weighted moving average, the latest data is of more value than more early data.
using an expert advisor algorithm trading robot in meta trader written in the mql4 language is one way of accessing the market via code, thus taking the emotions out of the picture and working with just the numbers and your program logic. Taking emotions out of the equation is one measure, but this does not mean robots cannot lose.
And 1a) 3 lwma was below 13 lwma 1 period before candlestick opens above laguerre filter (gamma 0.).
, from right to left), one has to use the arraysetasseries () function.
i designed the ea but i had help in writing the code by onestep they were excellent. It basically plots 2 points on the chart were there,s a cross over of the faster and slower lw-moving averages.
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