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 $1.4300001 with $1.445 as upper border and $1.4230001 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 |
|---|---|---|
| $1.502956748008728 | Weight: 5.901 | 30 Oct 2018 |
| $1.430604338645935 | Weight: 5.147 | 26 Jul 2019 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.445 | Channel maximum price resist level based on 24 hours movements |
| 1.4230001 | 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 $1.4230001 with $1.434 as upper border and $1.3590001 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 |
|---|---|---|
| $1.6253414154052734 | Weight: 9.256 | 19 Feb 2020 |
| $1.502956748008728 | Weight: 5.901 | 30 Oct 2018 |
| $1.430604338645935 | Weight: 5.147 | 26 Jul 2019 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.434 | Channel maximum price resist level based on 7 days movements |
| 1.3590001 | 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 is now on EDGE at $1.437. So the next scenario is able. If price will go up, it will RAISE with support level $1.437 If price will go down it will spend next in CHANNEL near to $1.3240001 with $1.437 as upper border and $1.0 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 |
|---|---|---|
| $1.8798855543136597 | Weight: 15.215 | 29 Jun 2018 |
| $1.8720184564590454 | Weight: 9.168 | 22 Feb 2020 |
| $1.6253414154052734 | Weight: 9.256 | 19 Feb 2020 |
| $1.502956748008728 | Weight: 5.901 | 30 Oct 2018 |
| $1.430604338645935 | Weight: 5.147 | 26 Jul 2019 |
| $1.0369360446929932 | Weight: 12.336 | 17 Mar 2020 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.437 | Edge price dividing trends based on 30 days movements |
| 1.0 | Minimum price support level in case of RAISE trend based on 30 days movements |
| 1.437 | Channel maximum price resist level based in case of FALL trend on 30 days movements |
| 1.0 | Channel minimum price resist level based in case of FALL trend on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Ethereum Classic
ETC
|
0.8515137 | details, prediction |
Stellar
XLM
|
0.83470905 | details, prediction |
Bitcoin SV
BSV
|
0.8165009 | details, prediction |
DASH
DASH
|
0.80968195 | details, prediction |
Cardano
ADA
|
0.78746337 | details, prediction |
| Second tier | ||
Verge
XVG
|
0.89218867 | details, prediction |
Dogecoin
DOGE
|
0.885359 | details, prediction |
HoloToken
HOT
|
0.87983894 | details, prediction |
Horizen
ZEN
|
0.86659735 | details, prediction |
Steem
STEEM
|
0.8598273 | details, prediction |
| Third tier | ||
Red Pulse Phoenix
PHX
|
0.9262465 | details, prediction |
ReddCoin
RDD
|
0.9194488 | details, prediction |
Matryx
MTX
|
0.91904235 | details, prediction |
Bread
BRD
|
0.91769624 | details, prediction |
ATC Coin
ATCC
|
0.9127045 | 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 | ||
Binance Coin
BNB
|
-0.7510822 | details, prediction |
NEM
XEM
|
-0.7246444 | details, prediction |
NEO
NEO
|
-0.66712254 | details, prediction |
Monero
XMR
|
-0.53597194 | details, prediction |
TRON
TRX
|
-0.43297312 | details, prediction |
| Second tier | ||
Theta
THETA
|
-0.84312403 | details, prediction |
CyberVein
CVT
|
-0.8190405 | details, prediction |
Loopring
LRC
|
-0.61450046 | details, prediction |
GlitzKoin
GTN
|
-0.57991207 | details, prediction |
FTX Token
FTT
|
-0.37996444 | details, prediction |
| Third tier | ||
Waves Community Token
WCT
|
-0.89468765 | details, prediction |
OneRoot Network
RNT
|
-0.71952975 | details, prediction |
SpaceChain
SPC
|
-0.69840425 | details, prediction |
FirstBlood
1ST
|
-0.65589625 | details, prediction |
Storj
STORJ
|
-0.6320569 | 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)