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 is now on EDGE at $1.0790001. So the next scenario is able. If price will go up it will spend next in CHANNEL near to $1.093 with $1.1020001 as upper border and $1.0790001 as bottom. If price will go down, it will FALL with support level $1.0790001Historic 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 |
|---|---|---|
| $1.1155608892440796 | Weight: 7.279 | 02 Dec 2019 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.0790001 | Edge price dividing trends based on 24 hours movements |
| 1.1020001 | Channel maximum price resist level based in case of RAISE trend on 24 hours movements |
| 1.0790001 | Channel minimum price resist level based in case of RAISE trend on 24 hours movements |
| 1.0790001 | Minimum price support level in case of FALL trend based on 24 hours movements |
Gas price levels prediction for next 7 days
Next 7 days brief prediction
Price of GAS will be traded in CHANNEL near to $1.1 with $1.172 as upper border and $1.046 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 |
|---|---|---|
| $1.231337308883667 | Weight: 6.436 | 04 Feb 2020 |
| $1.1155608892440796 | Weight: 7.279 | 02 Dec 2019 |
| $1.0349448919296265 | Weight: 9.91 | 27 Nov 2019 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.172 | Channel maximum price resist level based on 7 days movements |
| 1.046 | Channel minimum price resist level 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 $1.141 with $1.1700001 as upper border and $1.033 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 |
|---|---|---|
| $1.8148232698440552 | Weight: 7.526 | 07 Feb 2019 |
| $1.5938477516174316 | Weight: 20.443 | 15 Dec 2018 |
| $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 |
|---|---|
| 1.1700001 | Channel maximum price resist level based on 30 days movements |
| 1.033 | Channel minimum price resist level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Bitcoin Cash
BCH
|
0.9651856 | details, prediction |
Litecoin
LTC
|
0.9633921 | details, prediction |
Cardano
ADA
|
0.9595643 | details, prediction |
Ethereum
ETH
|
0.9481159 | details, prediction |
XRP
XRP
|
0.93641216 | details, prediction |
| Second tier | ||
Vechain
VET
|
0.9787827 | details, prediction |
Theta Fuel
TFUEL
|
0.9757551 | details, prediction |
Status
SNT
|
0.97190577 | details, prediction |
Siacoin
SC
|
0.97082275 | details, prediction |
Ravencoin
RVN
|
0.9706497 | details, prediction |
| Third tier | ||
Lisk
LSK
|
0.97362524 | details, prediction |
Steem
STEEM
|
0.97056985 | details, prediction |
LAToken
LA
|
0.970445 | details, prediction |
Power Ledger
POWR
|
0.9691011 | details, prediction |
Internet of Services
IOST
|
0.9653009 | 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 | ||
Stellar
XLM
|
-0.6552201 | details, prediction |
ZCash
ZEC
|
-0.19924775 | details, prediction |
TRON
TRX
|
0.0031172342 | details, prediction |
Binance Coin
BNB
|
0.49590644 | details, prediction |
Monero
XMR
|
0.53386813 | details, prediction |
| Second tier | ||
USD//Coin
USDC
|
-0.6387138 | details, prediction |
Dai
DAI
|
-0.59831923 | details, prediction |
True USD
TUSD
|
-0.38381532 | details, prediction |
Telcoin
TEL
|
-0.3633311 | details, prediction |
OriginTrail
TRAC
|
-0.24381293 | details, prediction |
| Third tier | ||
Chronobank
TIME
|
-0.29290017 | details, prediction |
FunFair
FUN
|
-0.20341793 | details, prediction |
V Systems
VSYS
|
-0.050061774 | details, prediction |
OPEN Platform
OPEN
|
0.047235552 | details, prediction |
Matrix AI Network
MAN
|
0.14040494 | 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)