QTUM 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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QTUM price levels prediction for next 24 hours

Next 24 hours brief prediction

Price of QTUM has broken last trend and will RAISE from the support level $0.7119

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
0.7119 Minimal price support level based on 24 hours movements

QTUM price levels prediction for next 7 days

Next 7 days brief prediction

Price of QTUM has broken last trend and will RAISE from the support level $0.7223

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
0.7223 Minimal price support level based on 7 days movements

QTUM price levels prediction for next 30 days

Next 30 days brief prediction

Price of QTUM has broken last trend and will RAISE from the support level $0.734

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
$1.0226844549179077 Weight: 11.567 18 Mar 2020

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
0.734 Minimal price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.96884924 details, prediction
0.96520513 details, prediction
0.9621669 details, prediction
0.95149 details, prediction
0.9422576 details, prediction
Second tier
0.9718366 details, prediction
0.965325 details, prediction
0.9632417 details, prediction
0.9628823 details, prediction
0.9598441 details, prediction
Third tier
0.9720302 details, prediction
0.96541905 details, prediction
0.96517265 details, prediction
0.95970917 details, prediction
0.9558252 details, prediction


This report should be leaned to get most info about heading trends. It means that QTUM 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 QTUM
Low correlated currencies
Coin Correlation Links
First tier
-0.6100326 details, prediction
-0.01199546 details, prediction
0.0789807 details, prediction
0.6405729 details, prediction
0.68286926 details, prediction
Second tier
-0.7576238 details, prediction
-0.66156465 details, prediction
-0.49095362 details, prediction
-0.16534276 details, prediction
0.015685888 details, prediction
Third tier
-0.48134214 details, prediction
-0.0843264 details, prediction
0.10349248 details, prediction
0.1044171 details, prediction
0.18625377 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)