Zilla price prediction

Our price prediction is based on hi-resolution deal analysis from cryptocurrency exchanges. We are collecting and gather statistics to obtain price support levels that show most important zones witch traders want to buy or sell stocks. These buy/sell histograms showed in report combined with current trend analysis can be used to build high probability forecasting of future price trends. It also can be useful to set a price on calculated levels to be sure maximum profit was received.

Disclaimer
Cryptocurrency trading involves substantial risk of loss and is not suitable for every investor. All trading strategies are used at your own risk. This page performs statistical analysis of past data and can be used for assumptions about the future only taking into account the statistical probability

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Zilla price levels prediction for next 24 hours

Next 24 hours brief prediction

Price of ZLA has broken last trend and will FALL from the support level $0.0043

Historic price levels for next 24 hours

These levels are based on local historic minimums and maximums. Weight shows the power of broken trends.
Price Weight(level power) Date of formation

Volume profile price channel in 24 hours range

Edge levels of the price channel based on volume profile report.
Price Description
0.0043 Maximum price support level based on 24 hours movements

Zilla price levels prediction for next 7 days

Next 7 days brief prediction

Price of ZLA has broken last trend and will FALL from the support level $0.005165

Historic price levels for next 7 days

These levels are based on local historic minimums and maximums. Weight shows the power of broken trends.
Price Weight(level power) Date of formation

Volume profile price channel in 7 days range

Edge levels of the price channel based on volume profile report.
Price Description
0.005165 Maximum price support level based on 7 days movements

Zilla price levels prediction for next 30 days

Next 30 days brief prediction

Price of ZLA has broken last trend and will FALL from the support level $0.00504

Historic price levels for next 30 days

These levels are based on local historic minimums and maximums. Weight shows the power of broken trends.
Price Weight(level power) Date of formation
$0.012507222592830658 Weight: 9.926 10 Aug 2019

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
0.00504 Maximum price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.95181006 details, prediction
0.9317587 details, prediction
0.9237322 details, prediction
0.91156244 details, prediction
0.8976714 details, prediction
Second tier
0.9675713 details, prediction
0.9567833 details, prediction
0.955545 details, prediction
0.94006777 details, prediction
0.93549544 details, prediction
Third tier
0.9867857 details, prediction
0.98041165 details, prediction
0.9682211 details, prediction
0.9638546 details, prediction
0.9551254 details, prediction


This report should be leaned to get most info about heading trends. It means that Zilla price can be leaded by other, more mighty cryptocurrency, or maybe some market trend have affect on it.

It can be confidently asserted that any crypto currency has a significant dependence on the market as a whole and, in particular, the top 3 currencies - Bitcoin, Ethereum and Ripple, so the prediction of their prices will affect the price of Zilla
Low correlated currencies
Coin Correlation Links
First tier
-0.7261699 details, prediction
-0.59612674 details, prediction
-0.4531472 details, prediction
-0.42924112 details, prediction
-0.12203513 details, prediction
Second tier
-0.85668004 details, prediction
-0.7473519 details, prediction
-0.6780712 details, prediction
-0.66310906 details, prediction
-0.63207316 details, prediction
Third tier
-0.8566688 details, prediction
-0.74601036 details, prediction
-0.71334714 details, prediction
-0.68645304 details, prediction
-0.6827914 details, prediction


This report should be leaned to build highly diversified portfolio.
It makes sense to mention that a low correlation in this case includes not only coins whose movements are not statistically related but, on the contrary, move in opposite directions (in the case of a negative value of the parameter)