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 24 hours
Next 24 hours brief prediction
Price of GAS will be traded in CHANNEL near to $1.2350001 with $1.2630001 as upper border and $1.2160001 as bottom.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 |
|---|---|---|
| $1.2642585 | Weight: 6.99 | 24 Jan 2026 |
| $1.2313373 | Weight: 6.436 | 04 Feb 2020 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.2630001 | Channel maximum price resist level based on 24 hours movements |
| 1.2160001 | Channel minimum price resist level based on 24 hours movements |
Gas price levels prediction for next 7 days
Next 7 days brief prediction
Price of GAS is now on EDGE at $1.228. So the next scenario is able. If price will go up it will spend next in CHANNEL near to $1.343 with $1.417 as upper border and $1.228 as bottom. If price will go down, it will FALL with support level $1.228Historic 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 |
|---|---|---|
| $1.2642585039138794 | Weight: 6.99 | 24 Jan 2026 |
| $1.231337308883667 | Weight: 6.436 | 04 Feb 2020 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.228 | Edge price dividing trends based on 7 days movements |
| 1.417 | Channel maximum price resist level based in case of RAISE trend on 7 days movements |
| 1.228 | Channel minimum price resist level based in case of RAISE trend on 7 days movements |
| 1.228 | Minimum price support level in case of FALL trend based on 7 days movements |
Gas price levels prediction for next 30 days
Next 30 days brief prediction
Price of GAS will be traded in CHANNEL near to $1.2190001 with $1.4120001 as upper border and $0.896 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 |
|---|---|---|
| $1.2642585039138794 | Weight: 6.99 | 24 Jan 2026 |
| $1.231337308883667 | Weight: 6.436 | 04 Feb 2020 |
| $1.1155608892440796 | Weight: 7.279 | 02 Dec 2019 |
| $1.0349448919296265 | Weight: 9.91 | 27 Nov 2019 |
| $0.9501984119415283 | Weight: 100 | 14 Jan 2021 |
| $0.9054521322250366 | Weight: 10.161 | 18 Dec 2019 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.4120001 | Channel maximum price resist level based on 30 days movements |
| 0.896 | Channel minimum price resist level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Bitcoin
BTC
|
0.95763 | details, prediction |
XRP
XRP
|
0.94411933 | details, prediction |
Dogecoin
DOGE
|
0.9380207 | details, prediction |
Ethereum Classic
ETC
|
0.93796486 | details, prediction |
Ethereum
ETH
|
0.9360358 | details, prediction |
| Second tier | ||
QTUM
QTUM
|
0.97411627 | details, prediction |
Theta
THETA
|
0.9578347 | details, prediction |
0x
ZRX
|
0.9514414 | details, prediction |
Nexo
NEXO
|
0.94171023 | details, prediction |
Vechain
VET
|
0.9394438 | details, prediction |
| Third tier | ||
Bancor
BNT
|
0.95425284 | details, prediction |
Ontology
ONT
|
0.9478964 | details, prediction |
SingularityNET
AGI
|
0.9147863 | details, prediction |
Stox
STX
|
0.91308844 | details, prediction |
Kyber Network
KNC
|
0.908357 | 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 | ||
TRON
TRX
|
0.21456227 | details, prediction |
KuCoin Shares
KCS
|
0.77991194 | details, prediction |
Stellar
XLM
|
0.796069 | details, prediction |
Monero
XMR
|
0.8516504 | details, prediction |
Cardano
ADA
|
0.8536021 | details, prediction |
| Second tier | ||
Ravencoin
RVN
|
-0.65866435 | details, prediction |
USD//Coin
USDC
|
-0.36850318 | details, prediction |
True USD
TUSD
|
-0.31359717 | details, prediction |
aelf
ELF
|
0.087598324 | details, prediction |
Telcoin
TEL
|
0.26809493 | details, prediction |
| Third tier | ||
OPEN Platform
OPEN
|
-0.77344644 | details, prediction |
ICON
ICX
|
-0.7658944 | details, prediction |
Matrix AI Network
MAN
|
-0.71444297 | details, prediction |
NKN
NKN
|
-0.64590347 | details, prediction |
Storj
STORJ
|
-0.5592417 | 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)