Bancor 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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Bancor price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of BNT will be traded in CHANNEL near to $0.34719998 with $0.34989998 as upper border and $0.3403 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 |
|---|
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.34989998 | Channel maximum price resist level based on 24 hours movements |
| 0.3403 | Channel minimum price resist level based on 24 hours movements |
Bancor price levels prediction for next 7 days
Next 7 days brief prediction
Price of BNT will be traded in CHANNEL near to $0.33270004 with $0.34800005 as upper border and $0.32760003 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 |
|---|
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.34800005 | Channel maximum price resist level based on 7 days movements |
| 0.32760003 | Channel minimum price resist level based on 7 days movements |
Bancor price levels prediction for next 30 days
Next 30 days brief prediction
Price of BNT is now on EDGE at $0.3484. So the next scenario is able. If price will go up, it will RAISE with support level $0.3484 If price will go down it will spend next in CHANNEL near to $0.3224 with $0.3484 as upper border and $0.2852 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 |
|---|---|---|
| $0.4551229178905487 | Weight: 10.32 | 15 Dec 2018 |
| $0.41655173897743225 | Weight: 100 | 14 Jan 2021 |
| $0.40826261043548584 | Weight: 7.32 | 16 Oct 2022 |
| $0.40680527687072754 | Weight: 7.304 | 16 Oct 2022 |
| $0.40539273619651794 | Weight: 7.444 | 18 Oct 2022 |
| $0.40242597460746765 | Weight: 7.413 | 23 Oct 2022 |
| $0.40193191170692444 | Weight: 7.418 | 16 Oct 2022 |
| $0.3995296061038971 | Weight: 7.324 | 20 Oct 2022 |
| $0.39717888832092285 | Weight: 7.343 | 20 Oct 2022 |
| $0.394704133272171 | Weight: 7.564 | 21 Oct 2022 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.3484 | Edge price dividing trends based on 30 days movements |
| 0.2852 | Minimum price support level in case of RAISE trend based on 30 days movements |
| 0.3484 | Channel maximum price resist level based in case of FALL trend on 30 days movements |
| 0.2852 | Channel minimum price resist level based in case of FALL trend on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
KuCoin Shares
KCS
|
0.8330224 | details, prediction |
ChainLink
LINK
|
0.73765856 | details, prediction |
Dogecoin
DOGE
|
0.7360861 | details, prediction |
Bitcoin
BTC
|
0.73220617 | details, prediction |
Monero
XMR
|
0.72292256 | details, prediction |
| Second tier | ||
Theta
THETA
|
0.8936807 | details, prediction |
Horizen
ZEN
|
0.8424405 | details, prediction |
Synthetix Network Token
SNX
|
0.8358123 | details, prediction |
0x
ZRX
|
0.832232 | details, prediction |
iEx.ec
RLC
|
0.80688024 | details, prediction |
| Third tier | ||
Loopring
LRC
|
0.8185512 | details, prediction |
Lisk
LSK
|
0.78937876 | details, prediction |
Storj
STORJ
|
0.75638753 | details, prediction |
ICON
ICX
|
0.74808997 | details, prediction |
Chronobank
TIME
|
0.72079694 | details, prediction |
This report should be leaned to get most info about heading trends. It means that Bancor 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 Bancor
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
TRON
TRX
|
-0.27543882 | details, prediction |
UNUS SED LEO
LEO
|
0.20652574 | details, prediction |
Stellar
XLM
|
0.39620286 | details, prediction |
Bitcoin Cash
BCH
|
0.4050253 | details, prediction |
ZCash
ZEC
|
0.4836808 | details, prediction |
| Second tier | ||
Dai
DAI
|
-0.27555868 | details, prediction |
Decred
DCR
|
-0.25506583 | details, prediction |
USD//Coin
USDC
|
-0.09663419 | details, prediction |
Verge
XVG
|
0.03417262 | details, prediction |
Nexo
NEXO
|
0.10898284 | details, prediction |
| Third tier | ||
Dent
DENT
|
-0.42822042 | details, prediction |
Ontology
ONT
|
-0.2949255 | details, prediction |
FunFair
FUN
|
-0.28473535 | details, prediction |
NKN
NKN
|
-0.23832284 | details, prediction |
Wanchain
WAN
|
-0.2029063 | 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)