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
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Stellar price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of XLM will be traded in CHANNEL near to $0.1288 with $0.1309 as upper border and $0.1279 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 |
|---|---|---|
| $0.13069291412830353 | Weight: 9.619 | 25 Nov 2018 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.1309 | Channel maximum price resist level based on 24 hours movements |
| 0.1279 | Channel minimum price resist level based on 24 hours movements |
Stellar price levels prediction for next 7 days
Next 7 days brief prediction
Price of XLM is now on EDGE at $0.1296. So the next scenario is able. If price will go up, it will RAISE with support level $0.1296 If price will go down it will spend next in CHANNEL near to $0.12640001 with $0.1296 as upper border and $0.1202 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 |
|---|---|---|
| $0.14309018850326538 | Weight: 5.329 | 24 Dec 2018 |
| $0.13069291412830353 | Weight: 9.619 | 25 Nov 2018 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.1296 | Edge price dividing trends based on 7 days movements |
| 0.1202 | Minimum price support level in case of RAISE trend based on 7 days movements |
| 0.1296 | Channel maximum price resist level based in case of FALL trend on 7 days movements |
| 0.1202 | Channel minimum price resist level based in case of FALL trend 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 $0.12585 with $0.13775 as upper border and $0.11017 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 |
|---|---|---|
| $0.1603574901819229 | Weight: 5.327 | 16 May 2019 |
| $0.15804369747638702 | Weight: 73.96 | 18 Mar 2018 |
| $0.14309018850326538 | Weight: 5.329 | 24 Dec 2018 |
| $0.13069291412830353 | Weight: 9.619 | 25 Nov 2018 |
| $0.10164276510477066 | Weight: 7.073 | 10 Dec 2017 |
| $0.09180258959531784 | Weight: 17.458 | 15 Dec 2018 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.13775 | Channel maximum price resist level based on 30 days movements |
| 0.11017 | Channel minimum price resist level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
XRP
XRP
|
0.875069 | details, prediction |
IOTA
IOT
|
0.85839367 | details, prediction |
DASH
DASH
|
0.8125667 | details, prediction |
TRON
TRX
|
0.8125471 | details, prediction |
Cardano
ADA
|
0.7915753 | details, prediction |
| Second tier | ||
Siacoin
SC
|
0.93197924 | details, prediction |
QTUM
QTUM
|
0.90312135 | details, prediction |
NEM
XEM
|
0.9025696 | details, prediction |
NEO
NEO
|
0.899554 | details, prediction |
Status
SNT
|
0.8850526 | details, prediction |
| Third tier | ||
Diamond
DMD
|
0.90375954 | details, prediction |
Dentacoin
DCN
|
0.8676907 | details, prediction |
Skycoin
SKY
|
0.8531705 | details, prediction |
SelfKey
KEY
|
0.845669 | details, prediction |
Nucleus Vision
NCASH
|
0.83912444 | 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 | ||
Cosmos
ATOM
|
-0.38650787 | details, prediction |
Bitcoin SV
BSV
|
0.58081216 | details, prediction |
Tezos
XTZ
|
0.59972775 | details, prediction |
Bitcoin
BTC
|
0.6617225 | details, prediction |
Binance Coin
BNB
|
0.6681904 | details, prediction |
| Second tier | ||
Electroneum
ETN
|
-0.34325832 | details, prediction |
Populous
PPT
|
-0.077886075 | details, prediction |
Eternal token
XET
|
-0.0369822 | details, prediction |
Maximine
MXM
|
0.009907081 | details, prediction |
USD//Coin
USDC
|
0.058323063 | details, prediction |
| Third tier | ||
IvyKoin
IVY
|
-0.7575717 | details, prediction |
WeAreSatoshi
WSX
|
-0.74423206 | details, prediction |
Darico
DEC
|
-0.684267 | details, prediction |
FantomCoin
FCN
|
-0.6799632 | details, prediction |
Blockport
BPT
|
-0.6432424 | 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)