MonaCoin 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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MonaCoin price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of MONA will be traded in CHANNEL near to $1.3700001 with $1.3740001 as upper border and $1.3400002 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 |
|---|---|---|
| $1.4821555614471436 | Weight: 5.766 | 19 Oct 2018 |
| $1.430604338645935 | Weight: 5.146 | 26 Jul 2019 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.3740001 | Channel maximum price resist level based on 24 hours movements |
| 1.3400002 | Channel minimum price resist level based on 24 hours movements |
MonaCoin price levels prediction for next 7 days
Next 7 days brief prediction
Price of MONA will be traded in CHANNEL near to $1.3400002 with $1.3700001 as upper border and $1.3400002 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 |
|---|---|---|
| $1.4821555614471436 | Weight: 5.766 | 19 Oct 2018 |
| $1.430604338645935 | Weight: 5.146 | 26 Jul 2019 |
| $1.2276504039764404 | Weight: 10.9 | 23 May 2021 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.3700001 | Channel maximum price resist level based on 7 days movements |
| 1.3400002 | Channel minimum price resist level based on 7 days movements |
MonaCoin price levels prediction for next 30 days
Next 30 days brief prediction
Price of MONA will be traded in CHANNEL near to $1.904 with $2.192 as upper border and $1.186 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 |
|---|---|---|
| $4.138653755187988 | Weight: 14.263 | 18 Apr 2021 |
| $3.709890127182007 | Weight: 15.158 | 22 Feb 2020 |
| $2.842353343963623 | Weight: 85.296 | 06 Feb 2018 |
| $2.5638253688812256 | Weight: 16.888 | 18 Mar 2018 |
| $2.5366506576538086 | Weight: 12.023 | 27 May 2018 |
| $2.3805911540985107 | Weight: 20.404 | 18 Oct 2017 |
| $2.0160646438598633 | Weight: 13.407 | 12 Oct 2017 |
| $2.0143749713897705 | Weight: 19.746 | 07 Jun 2019 |
| $1.2276504039764404 | Weight: 10.9 | 23 May 2021 |
| $0.7819879651069641 | Weight: 23.533 | 08 Sep 2019 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 2.192 | Channel maximum price resist level based on 30 days movements |
| 1.186 | Channel minimum price resist level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
ChainLink
LINK
|
0.96950394 | details, prediction |
Zilliqa
ZIL
|
0.95244795 | details, prediction |
NEO
NEO
|
0.9465954 | details, prediction |
XRP
XRP
|
0.9447991 | details, prediction |
Stellar
XLM
|
0.9441986 | details, prediction |
| Second tier | ||
Horizen
ZEN
|
0.9702433 | details, prediction |
Bancor
BNT
|
0.9552097 | details, prediction |
Komodo
KMD
|
0.9550484 | details, prediction |
Request Network
REQ
|
0.9529379 | details, prediction |
Nano
NANO
|
0.9501128 | details, prediction |
| Third tier | ||
DomRaider
DRT
|
0.9623152 | details, prediction |
Factom
FCT
|
0.9611837 | details, prediction |
Simple Token
OST
|
0.9609683 | details, prediction |
Haven Protocol
XHV
|
0.95588994 | details, prediction |
AdEx
ADX
|
0.95504177 | details, prediction |
This report should be leaned to get most info about heading trends. It means that MonaCoin 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 MonaCoin
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Matic Network
MATIC
|
-0.11066938 | details, prediction |
Theta Fuel
TFUEL
|
-0.0018988178 | details, prediction |
UNUS SED LEO
LEO
|
0.20249964 | details, prediction |
KuCoin Shares
KCS
|
0.4359774 | details, prediction |
Cardano
ADA
|
0.62157094 | details, prediction |
| Second tier | ||
Quant Network
QNT
|
-0.71649843 | details, prediction |
Constellation
DAG
|
-0.44623396 | details, prediction |
Dai
DAI
|
-0.24774893 | details, prediction |
USD//Coin
USDC
|
-0.08537889 | details, prediction |
True USD
TUSD
|
-0.06728139 | details, prediction |
| Third tier | ||
Polybius
PLBT
|
-0.73639745 | details, prediction |
Faceter
FACE
|
-0.7165811 | details, prediction |
BLOCKv
VEE
|
-0.5137579 | details, prediction |
Cryptaur
CPT
|
-0.43442705 | details, prediction |
Spectre.ai Utility Token
SXUT
|
-0.37474883 | 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)