spacekadet17

Accumulation/Distribution Bands & Signals (BTC, 1D, BITSTAMP)

spacekadet17 Aggiornato   
This is an accumulation/distribution indicator for BTC/USD (D) based on variations of 1400D and 120D moving averages and logarithmic regression. Yellow plot signals Long Term Accumulation, which is based on 1400D (200W) ALMA, orange plot signals Mid Term Accumulation and is based on 120D ALMA, and finally the red plot signals Long Term Distribution that's based on log regression. It should be noted that for red plot to work BTC 1D BITSTAMP graph must be used, because the function of the logarithmic regression was modified according to the x axis of the BITSTAMP data.
Signal bands have different coefficients; long term accumulation (yellow) and and the log regression (red) plots have the highest coefficients and mid term accumulation (orange) has the lowest coefficients. Coefficients are 6x, 3x and 1.5x for the red (sell) and yellow (buy) plots and 1x, 2x and 3x for the orange (buy) plot. Selling coefficient for the yellow and the orange plots are respectively 2x and 1x. Buy and sell signals are summed up accordingly and plotted at the top of the highest band.
Acknowledgement: Credits for the logarithmic regression function are due @memotyka9009 and Benjamin Cowen BTCUSD
Note di rilascio:
Updated accumulation/distribution bands now also includes a modified pi cycle top indicator which is used for both sell and buy signals. Additionally some parameters were readjusted.

Buy or sell a certain percentage (up to you to decide the exact value) of your BTC weekly depending on the intensity of accumulation/distribution signals!
Note di rilascio:
Note: You can use the indicator in any timeframe of 1D, 1W or 1M depending on how frequently you want to accumulate or distribute, the indicator is for long term investments. For mid term investing you can use the Trend Identifier, while shorter term indicators will be published later.
Script open-source

Nello spirito di condivisione promosso da TradingView, l'autore (al quale vanno i nostri ringraziamenti) ha deciso di pubblicare questo script in modalità open-source, così che chiunque possa comprenderlo e testarlo. Puoi utilizzarlo gratuitamente, ma il riutilizzo del codice è subordinato al rispetto del Regolamento. Per aggiungerlo al grafico, mettilo tra i preferiti.

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