Augur 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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Augur price levels prediction for next 7 days

Next 7 days brief prediction

Price of REP will be traded in CHANNEL near to $10.78 with $10.919999 as upper border and $10.469999 as bottom.

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
$10.727167129516602 Weight: 6.745 28 Jan 2019

Volume profile price channel in 7 days range

Edge levels of the price channel based on volume profile report.
Price Description
10.919999 Channel maximum price resist level based on 7 days movements
10.469999 Channel minimum price resist level based on 7 days movements

Augur price levels prediction for next 30 days

Next 30 days brief prediction

Price of REP will be traded in CHANNEL near to $10.58 with $11.4 as upper border and $8.2699995 as bottom.

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
$13.664701461791992 Weight: 9.118 02 Nov 2017
$12.495769500732422 Weight: 8.192 12 Sep 2018
$10.727167129516602 Weight: 6.745 28 Jan 2019

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
11.4 Channel maximum price resist level based on 30 days movements
8.2699995 Channel minimum price resist level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.8052982 details, prediction
0.70883554 details, prediction
0.691048 details, prediction
0.68302673 details, prediction
0.6791402 details, prediction
Second tier
0.6137341 details, prediction
0.5672074 details, prediction
0.56349397 details, prediction
0.5592523 details, prediction
0.5525009 details, prediction
Third tier
0.7392185 details, prediction
0.67945427 details, prediction
0.6777783 details, prediction
0.67562693 details, prediction
0.6708362 details, prediction


This report should be leaned to get most info about heading trends. It means that Augur 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 Augur
Low correlated currencies
Coin Correlation Links
First tier
-0.39485544 details, prediction
0.19934496 details, prediction
0.22234908 details, prediction
0.40025952 details, prediction
0.48041445 details, prediction
Second tier
-0.18450391 details, prediction
-0.027949337 details, prediction
0.19742545 details, prediction
0.20964509 details, prediction
0.21414886 details, prediction
Third tier
-0.58113796 details, prediction
-0.57593787 details, prediction
-0.3254134 details, prediction
-0.23239408 details, prediction
-0.168623 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)