Cappasity 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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Cappasity price levels prediction for next 24 hours

Next 24 hours brief prediction

Price of CAPP has broken last trend and will FALL from the support level $3.653E-4

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
3.653E-4 Maximum price support level based on 24 hours movements

Cappasity price levels prediction for next 7 days

Next 7 days brief prediction

Price of CAPP has broken last trend and will FALL from the support level $3.6469998E-4

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
3.6469998E-4 Maximum price support level based on 7 days movements

Cappasity price levels prediction for next 30 days

Next 30 days brief prediction

Price of CAPP has broken last trend and will FALL from the support level $3.73E-4

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

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
3.73E-4 Maximum price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.9142592 details, prediction
0.9004204 details, prediction
0.88602275 details, prediction
0.88223237 details, prediction
0.8745997 details, prediction
Second tier
0.9481822 details, prediction
0.9317882 details, prediction
0.9270781 details, prediction
0.92655385 details, prediction
0.92461383 details, prediction
Third tier
0.93423146 details, prediction
0.9212954 details, prediction
0.9166794 details, prediction
0.89331764 details, prediction
0.8906568 details, prediction


This report should be leaned to get most info about heading trends. It means that Cappasity 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 Cappasity
Low correlated currencies
Coin Correlation Links
First tier
-0.3775401 details, prediction
-0.27971292 details, prediction
-0.20293358 details, prediction
0.19036545 details, prediction
0.27843407 details, prediction
Second tier
-0.47222656 details, prediction
-0.42326406 details, prediction
-0.39313385 details, prediction
-0.06520442 details, prediction
0.019431982 details, prediction
Third tier
-0.704625 details, prediction
-0.68284297 details, prediction
-0.62874305 details, prediction
-0.59365946 details, prediction
-0.54560727 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)