Stellar 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
Read more detailed info about this tool
Stellar price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of XLM has broken last trend and will RAISE from the support level $0.1701Historic 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 |
|---|---|---|
| $0.1738385558128357 | Weight: 7.477 | 30 Nov 2018 |
| $0.1603574901819229 | Weight: 16.082 | 16 May 2019 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.1701 | Minimal price support level based on 24 hours movements |
Stellar price levels prediction for next 7 days
Next 7 days brief prediction
Price of XLM will be traded in CHANNEL near to $0.1647 with $0.17220001 as upper border and $0.1535 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 |
|---|---|---|
| $0.1738385558128357 | Weight: 7.477 | 30 Nov 2018 |
| $0.1603574901819229 | Weight: 16.082 | 16 May 2019 |
| $0.1479761153459549 | Weight: 12.492 | 26 Nov 2020 |
| $0.1469109207391739 | Weight: 10.354 | 23 Feb 2026 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.17220001 | Channel maximum price resist level based on 7 days movements |
| 0.1535 | Channel minimum price resist level based on 7 days movements |
Stellar price levels prediction for next 30 days
Next 30 days brief prediction
Price of XLM will be traded in CHANNEL near to $0.1666 with $0.1746 as upper border and $0.1536 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 |
|---|---|---|
| $0.41892343759536743 | Weight: 39.096 | 06 Jan 2026 |
| $0.40448570251464844 | Weight: 33.608 | 07 Jan 2021 |
| $0.3809434473514557 | Weight: 51.806 | 23 Apr 2021 |
| $0.3462528586387634 | Weight: 49.439 | 25 Mar 2021 |
| $0.3309890627861023 | Weight: 34.695 | 16 Oct 2022 |
| $0.3142641484737396 | Weight: 68.101 | 19 May 2021 |
| $0.2775163948535919 | Weight: 35.242 | 23 May 2021 |
| $0.23340129852294922 | Weight: 45.299 | 28 Jan 2021 |
| $0.2004913091659546 | Weight: 91.934 | 22 Jun 2021 |
| $0.12439067661762238 | Weight: 41.326 | 03 Jan 2021 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.1746 | Channel maximum price resist level based on 30 days movements |
| 0.1536 | Channel minimum price resist level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Ethereum
ETH
|
0.9263452 | details, prediction |
Bitcoin
BTC
|
0.92580944 | details, prediction |
XRP
XRP
|
0.920151 | details, prediction |
Ethereum Classic
ETC
|
0.9139663 | details, prediction |
Monero
XMR
|
0.90068257 | details, prediction |
| Second tier | ||
EOS
EOS
|
0.985568 | details, prediction |
Telcoin
TEL
|
0.9176628 | details, prediction |
Synthetix Network Token
SNX
|
0.9072354 | details, prediction |
Bitcoin Gold
BTG
|
0.89321333 | details, prediction |
aelf
ELF
|
0.88615805 | details, prediction |
| Third tier | ||
Kleros
PNK
|
0.9865249 | details, prediction |
SingularityNET
AGI
|
0.910302 | details, prediction |
SwftCoin
SWFTC
|
0.9073599 | details, prediction |
Phantasma
SOUL
|
0.89648277 | details, prediction |
Kambria
KAT
|
0.87381434 | details, prediction |
This report should be leaned to get most info about heading trends. It means that Stellar 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 Stellar
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
TRON
TRX
|
-0.47092322 | details, prediction |
Bitcoin Cash
BCH
|
0.1689985 | details, prediction |
ZCash
ZEC
|
0.4166887 | details, prediction |
Litecoin
LTC
|
0.449113 | details, prediction |
UNUS SED LEO
LEO
|
0.5271102 | details, prediction |
| Second tier | ||
Dai
DAI
|
-0.43829963 | details, prediction |
Decred
DCR
|
-0.11394167 | details, prediction |
True USD
TUSD
|
0.111011915 | details, prediction |
Verge
XVG
|
0.33234897 | details, prediction |
Zilliqa
ZIL
|
0.3859 | details, prediction |
| Third tier | ||
Ontology
ONT
|
-0.22133838 | details, prediction |
HEROcoin
PLAY
|
-0.16244449 | details, prediction |
OPEN Platform
OPEN
|
-0.10142789 | details, prediction |
Enjin Coin
ENJ
|
-0.0377995 | details, prediction |
Dent
DENT
|
0.30658606 | 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)