Dynamic 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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Dynamic price levels prediction for next 24 hours

Next 24 hours brief prediction

Price of DYN has broken last trend and will FALL from the support level $0.0553

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
0.0553 Maximum price support level based on 24 hours movements

Dynamic price levels prediction for next 7 days

Next 7 days brief prediction

Price of DYN has broken last trend and will FALL from the support level $0.064

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
0.064 Maximum price support level based on 7 days movements

Dynamic price levels prediction for next 30 days

Next 30 days brief prediction

Price of DYN has broken last trend and will FALL from the support level $0.050600003

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
0.050600003 Maximum price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.53939587 details, prediction
0.44208342 details, prediction
0.16979685 details, prediction
0.16847745 details, prediction
-0.10367139 details, prediction
Second tier
0.8507948 details, prediction
0.77455103 details, prediction
0.7244061 details, prediction
0.68076634 details, prediction
0.63186795 details, prediction
Third tier
0.8969435 details, prediction
0.8787726 details, prediction
0.8759204 details, prediction
0.8752114 details, prediction
0.8659164 details, prediction


This report should be leaned to get most info about heading trends. It means that Dynamic 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 Dynamic
Low correlated currencies
Coin Correlation Links
First tier
-0.85483307 details, prediction
-0.8281414 details, prediction
-0.82758665 details, prediction
-0.77618796 details, prediction
-0.766439 details, prediction
Second tier
-0.820189 details, prediction
-0.7394236 details, prediction
-0.7219478 details, prediction
-0.70942557 details, prediction
-0.7085545 details, prediction
Third tier
-0.87040997 details, prediction
-0.8622102 details, prediction
-0.86016554 details, prediction
-0.8420975 details, prediction
-0.82675683 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)