Trend Quality indicator(s) - page 14
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I have this indicator
that has this Average type :
extern string __ = "Averages types";
extern string __0 = "SMA";
extern string __1 = "EMA";
extern string __2 = "Double smoothed EMA";
extern string __3 = "Double EMA (DEMA)";
extern string __4 = "Triple EMA (TEMA)";
extern string __5 = "Smoothed MA";
extern string __6 = "Linear weighted MA";
extern string __7 = "Parabolic weighted MA";
extern string __8 = "Alexander MA";
extern string __9 = "Volume weighted MA";
extern string __10 = "Hull MA";
extern string __11 = "Triangular MA";
extern string __12 = "Sine weighted MA";
extern string __13 = "Linear regression";
extern string __14 = "IE/2";
extern string __15 = "NonLag MA";
extern string __16 = "Zero lag EMA";
If someone could add this average types that are missing, I would like very much.
I mean these
enum enMaTypes
{
ma_adxvma, // Adx vma
ma_ahr, // Ahrens moving average
ma_alxma, // Alexander moving average - ALXMA
ma_dema, // Double exponential moving average - DEMA
ma_dsema, // Double smoothed exponential moving average - DSEMA
ma_emas, // Ema derivative - EMAD
ma_ema, // Exponential moving average - EMA
ma_hull, // Hull moving average - HMA
ma_ie2, // IE/2
ma_ilinr, // Integral of linear regression slope
ma_itl, // Instantaneous trendline
ma_lagg, // Laguerre filter
ma_lead, // Leader exponential moving average
ma_linr, // Linear regression value - LSMA
ma_lwma, // Linear weighted moving average - LWMA
ma_mcg, // McGinley Dynamic
ma_mcma, // McNicholl ema
ma_nlma, // Non lag moving average
ma_pwma, // Parabolic weighted moving average - PWMA
ma_rmta, // Recursive moving trendline - RMTA
ma_sma, // Simple moving average - SMA
ma_sine, // Sine weighted moving average
ma_smma, // Smoothed moving average - SMMA
ma_smoo, // Smoother
ma_ssm, // Super smoother
ma_b3p, // Three pole Ehlers Butterworth
ma_s3p, // Three pole Ehlers smoother
ma_tma, // Triangular moving average - TMA
ma_tema, // Tripple exponential moving average - TEMA
ma_b2p, // Two pole Ehlers Butterworth
ma_s2p, // Two pole Ehlers smoother
ma_vema, // Volume weighted ema - VEMA
ma_vwma, // Volume weighted moving average - VWMA
ma_zldema, // Zero lag dema
ma_zlma, // Zero lag moving average
ma_zltema // Zero lag tema
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Trend Quality indicator(s) ...
And the 2 are the last variation on the theme (for now )
These are the smoothed version made directional. All what has been said for the "regular directional" version applies to these too, except that one thing probably needs to be said : the "directional" change is not done by simple mirroring around zero line, so there are case when the directional and the non-directional version do not conform in values, but as far as I see, those case are logical and in my opinion they should stay as is since I feel that it gives them some additional quality. As far as the signals are concerned (zero line crosses), this one is the closest to macd, but the rest (levels crosses and thus trend quality determination is in my opinion the most important in this version and they should be used instead (level not the zero line crosses as signals)
As far as I could see, there is some good potential in all these indicators, but don't take my word for it Let us test them and see if they can help us in our trading
Hi mladen,
I've been trying to port this version of TQ to Python. I'm not that great of a programmer so it's been a challenge. I've been looking through your code and I have a question about it. What is the purpose of the `dt` and `avg_dt` variables?
If anyone wants to jump in on my not working python code, here it is: https://github.com/kbs-code/trend_quality_python/blob/master/research.ipynb