Pakcoin 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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Pakcoin price levels prediction for next 24 hours

Next 24 hours brief prediction

Price of PAK has broken last trend and will FALL from the support level $0.003428

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
$0.0058191558346152306 Weight: 10.233 13 Nov 2017
$0.005793360993266106 Weight: 8.314 30 Apr 2018
$0.005569017492234707 Weight: 7.682 20 Apr 2018
$0.005289868917316198 Weight: 9.552 20 Mar 2018
$0.0031459424644708633 Weight: 10.122 09 Apr 2018

Volume profile price channel in 24 hours range

Edge levels of the price channel based on volume profile report.
Price Description
0.003428 Maximum price support level based on 24 hours movements

Pakcoin price levels prediction for next 7 days

Next 7 days brief prediction

Price of PAK has broken last trend and will FALL from the support level $0.0033460003

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
$0.006201681215316057 Weight: 6.734 22 Apr 2018
$0.0058191558346152306 Weight: 10.233 13 Nov 2017
$0.005793360993266106 Weight: 8.314 30 Apr 2018
$0.005569017492234707 Weight: 7.682 20 Apr 2018
$0.005289868917316198 Weight: 9.552 20 Mar 2018
$0.0031459424644708633 Weight: 10.122 09 Apr 2018

Volume profile price channel in 7 days range

Edge levels of the price channel based on volume profile report.
Price Description
0.0033460003 Maximum price support level based on 7 days movements

Pakcoin price levels prediction for next 30 days

Next 30 days brief prediction

Price of PAK has broken last trend and will FALL from the support level $0.0036000004

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
$0.02521893009543419 Weight: 29.825 08 Jan 2018
$0.024850178509950638 Weight: 27.127 16 Jan 2018
$0.019029075279831886 Weight: 22.436 19 Jan 2018
$0.01665867120027542 Weight: 77.194 17 Jan 2018
$0.016139492392539978 Weight: 56.297 07 Jan 2018
$0.014924263581633568 Weight: 23.59 18 Feb 2018
$0.014219660311937332 Weight: 23.033 21 Feb 2018
$0.013884949497878551 Weight: 25.578 18 Feb 2018
$0.011133827269077301 Weight: 30.371 16 Feb 2018
$0.007106596603989601 Weight: 31.69 11 Mar 2018

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
0.0036000004 Maximum price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links


This report should be leaned to get most info about heading trends. It means that Pakcoin 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 Pakcoin
Low correlated currencies
Coin Correlation Links


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)