Dai 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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Dai price levels prediction for next 7 days

Next 7 days brief prediction

Price of DAI has broken last trend and will FALL from the support level $1.0

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
$1.0008482933044434 Weight: 23.176 11 Jan 2019
$0.99761563539505 Weight: 99.656 05 Nov 2018

Volume profile price channel in 7 days range

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

Dai price levels prediction for next 30 days

Next 30 days brief prediction

Price of DAI will be traded in CHANNEL near to $1.003 with $1.0048 as upper border and $0.9922 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
$1.003241777420044 Weight: 18.634 23 Oct 2022
$1.0008482933044434 Weight: 23.176 11 Jan 2019
$0.99761563539505 Weight: 99.656 05 Nov 2018
$0.9857768416404724 Weight: 19.04 23 Oct 2022
$0.9736368060112 Weight: 19.184 16 Oct 2022
$0.9649359583854675 Weight: 19.126 16 Oct 2022
$0.827118992805481 Weight: 28.783 11 Jan 2019
$0.7248451709747314 Weight: 21.099 26 Mar 2020
$0.703103244304657 Weight: 19.794 19 Feb 2020
$0.6056336760520935 Weight: 29.399 31 Aug 2019

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
1.0048 Channel maximum price resist level based on 30 days movements
0.9922 Channel minimum price resist level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.8905872 details, prediction
0.35422638 details, prediction
0.26487947 details, prediction
-0.11993287 details, prediction
-0.3555651 details, prediction
Second tier
0.51644886 details, prediction
0.40671074 details, prediction
0.23339522 details, prediction
-0.03003994 details, prediction
-0.03671575 details, prediction
Third tier
0.9719136 details, prediction
0.87230444 details, prediction
0.5349245 details, prediction
0.39545295 details, prediction
0.38583475 details, prediction


This report should be leaned to get most info about heading trends. It means that Dai 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 Dai
Low correlated currencies
Coin Correlation Links
First tier
-0.8381282 details, prediction
-0.82560486 details, prediction
-0.7323291 details, prediction
-0.64428234 details, prediction
-0.6429913 details, prediction
Second tier
-0.83790225 details, prediction
-0.83711064 details, prediction
-0.836257 details, prediction
-0.8322319 details, prediction
-0.8240516 details, prediction
Third tier
-0.7363182 details, prediction
-0.6693986 details, prediction
-0.640198 details, prediction
-0.6184735 details, prediction
-0.60687345 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)