Gas 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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Gas price levels prediction for next 7 days

Next 7 days brief prediction

Price of GAS has broken last trend and will FALL from the support level $1.83

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
$1.8148232698440552 Weight: 7.526 07 Feb 2019
$1.5938477516174316 Weight: 20.443 15 Dec 2018

Volume profile price channel in 7 days range

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

Gas price levels prediction for next 30 days

Next 30 days brief prediction

Price of GAS has broken last trend and will FALL from the support level $1.822

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
$2.3067786693573 Weight: 17.431 21 Oct 2022
$2.194779872894287 Weight: 6.464 05 Mar 2019
$2.1669368743896484 Weight: 44.005 12 May 2022
$2.1353118419647217 Weight: 11.277 14 Jun 2022
$1.980549931526184 Weight: 21.949 13 Oct 2022
$1.9359550476074219 Weight: 9.573 09 May 2019
$1.8148232698440552 Weight: 7.526 07 Feb 2019
$1.5938477516174316 Weight: 20.443 15 Dec 2018

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
1.822 Maximum price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.5544547 details, prediction
0.5499901 details, prediction
0.53565216 details, prediction
0.5281973 details, prediction
0.52250016 details, prediction
Second tier
0.79902756 details, prediction
0.7891168 details, prediction
0.78861856 details, prediction
0.7752921 details, prediction
0.7734796 details, prediction
Third tier
0.86295503 details, prediction
0.84017503 details, prediction
0.8161912 details, prediction
0.8055593 details, prediction
0.7852091 details, prediction


This report should be leaned to get most info about heading trends. It means that Gas 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 Gas
Low correlated currencies
Coin Correlation Links
First tier
-0.035422076 details, prediction
-0.011277984 details, prediction
0.10540503 details, prediction
0.18187389 details, prediction
0.41141453 details, prediction
Second tier
-0.0018472683 details, prediction
0.1308643 details, prediction
0.2515211 details, prediction
0.4569875 details, prediction
0.45836002 details, prediction
Third tier
-0.046512395 details, prediction
0.10572436 details, prediction
0.26066425 details, prediction
0.31035894 details, prediction
0.34792176 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)