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Bitcoin_Weather
6 dec 2022 12:48

Smart Disparity Index 

Bitcoin / U.S. dollarBitstamp

Beskrivning

The Smart Disparity Index (SDI) is an optimized version of the Disparity Index indicator invented by Steve Nison (book "Beyond Candlesticks").

According to Steve Nison, "The disparity index (or disparity ratio), compares, as a percentage, the latest close to a chosen moving average", which means that the indicator gives the difference in % between the closing price and a simple moving average.

The calculation formula is therefore as follows:

Disparity Index = 100 x (closing_price - simple_moving_average) / simple_moving_average

In order to optimize the calculation, I replaced the closing price with the 6-period exponential moving average (EMA6) which, according to many years of experience, allows prices to be smoothed by eliminating excesses.

Formula for calculating the Smart Disparity Index:

SDI = 100 x (EMA6 - simple_moving_average) / simple_moving_average

The provided script displays the SDI for the 20, 50, 100 and 200 periods.

From my point of view, I recommend using the SDI50 as a priority:

SDI50 = 100 x (EMA6 - SMA50) / SMA50

In the chart, we can see the SDI50 (in purple) is on a long-term support (in green), this indicates a probability of a Bitcoin rise in the coming months.

The SDI can also be used as a momentum type indicator.

Versionsinformation

The new script now allows to display each SDI with its original Disparity Index.

Versionsinformation

SDI Filling added.

Versionsinformation

Inputs setting added.
Kommentarer
NOBI0811
Thank you so much. I love this script so much. Good luck to Sir.
Jmenken
It is scary good for estimating corrections on larger timeframes. Monthly and quarterly views of Dow composite is dope. Thank you for introducing me to this. Also helps me plot out pattern probabilities
DarkRez
Nice. maybe you add divergences to it
Bitcoin_Weather
BTC chart with SDI50 (in purple) on a long-term support (in green):
Bitcoin_Weather
Another example:
Bitcoin_Weather
Example of use:
Mer