Modum 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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Modum price levels prediction for next 7 days

Next 7 days brief prediction

Price of MOD has broken last trend and will FALL from the support level $0.11579999

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
0.11579999 Maximum price support level based on 7 days movements

Modum price levels prediction for next 30 days

Next 30 days brief prediction

Price of MOD is now on EDGE at $0.115600005. So the next scenario is able. If price will go up it will spend next in CHANNEL near to $0.176 with $0.1936 as upper border and $0.115600005 as bottom. If price will go down, it will FALL with support level $0.115600005

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
$0.1749161332845688 Weight: 95.987 05 Jun 2019
$0.12961764633655548 Weight: 100 28 May 2019

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
0.115600005 Edge price dividing trends based on 30 days movements
0.1936 Channel maximum price resist level based in case of RAISE trend on 30 days movements
0.115600005 Channel minimum price resist level based in case of RAISE trend on 30 days movements
0.115600005 Minimum price support level in case of FALL trend based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.806162 details, prediction
0.7368273 details, prediction
0.6209528 details, prediction
0.533165 details, prediction
0.51882654 details, prediction
Second tier
0.6771737 details, prediction
0.65694505 details, prediction
0.6180111 details, prediction
0.5948656 details, prediction
0.5892581 details, prediction
Third tier
0.84290653 details, prediction
0.7952 details, prediction
0.783829 details, prediction
0.78309214 details, prediction
0.7730956 details, prediction


This report should be leaned to get most info about heading trends. It means that Modum 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 Modum
Low correlated currencies
Coin Correlation Links
First tier
-0.23535667 details, prediction
-0.007110966 details, prediction
0.3054318 details, prediction
0.32065836 details, prediction
0.32788277 details, prediction
Second tier
-0.550502 details, prediction
-0.43077555 details, prediction
-0.33842942 details, prediction
-0.28790975 details, prediction
-0.27192068 details, prediction
Third tier
-0.76660705 details, prediction
-0.7664237 details, prediction
-0.7634627 details, prediction
-0.71173817 details, prediction
-0.68530697 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)