ZCash 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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ZCash price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of ZEC will be traded in CHANNEL near to $76.56 with $78.95999 as upper border and $72.63999 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 |
|---|---|---|
| $94.4730224609375 | Weight: 6.876 | 29 Nov 2018 |
| $90.83712768554688 | Weight: 12.832 | 13 Sep 2018 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 78.95999 | Channel maximum price resist level based on 24 hours movements |
| 72.63999 | Channel minimum price resist level based on 24 hours movements |
ZCash price levels prediction for next 7 days
Next 7 days brief prediction
Price of ZEC is now on EDGE at $74.1. So the next scenario is able. If price will go up it will spend next in CHANNEL near to $91.0 with $106.8 as upper border and $74.1 as bottom. If price will go down, it will FALL with support level $74.1Historic 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 |
|---|---|---|
| $123.33565521240234 | Weight: 8.702 | 26 Jun 2019 |
| $121.5540771484375 | Weight: 15.801 | 14 Aug 2018 |
| $94.4730224609375 | Weight: 6.876 | 29 Nov 2018 |
| $90.83712768554688 | Weight: 12.832 | 13 Sep 2018 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 74.1 | Edge price dividing trends based on 7 days movements |
| 106.8 | Channel maximum price resist level based in case of RAISE trend on 7 days movements |
| 74.1 | Channel minimum price resist level based in case of RAISE trend on 7 days movements |
| 74.1 | Minimum price support level in case of FALL trend based on 7 days movements |
ZCash price levels prediction for next 30 days
Next 30 days brief prediction
Price of ZEC will be traded in CHANNEL near to $92.5 with $113.05 as upper border and $67.8 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 |
|---|---|---|
| $123.33565521240234 | Weight: 8.702 | 26 Jun 2019 |
| $121.5540771484375 | Weight: 15.801 | 14 Aug 2018 |
| $94.4730224609375 | Weight: 6.876 | 29 Nov 2018 |
| $90.83712768554688 | Weight: 12.832 | 13 Sep 2018 |
| $59.64307403564453 | Weight: 7.476 | 25 Nov 2018 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 113.05 | Channel maximum price resist level based on 30 days movements |
| 67.8 | Channel minimum price resist level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
NEO
NEO
|
0.92981464 | details, prediction |
Litecoin
LTC
|
0.90203375 | details, prediction |
Bitcoin SV
BSV
|
0.8983079 | details, prediction |
Ethereum
ETH
|
0.89812255 | details, prediction |
Bitcoin
BTC
|
0.88622344 | details, prediction |
| Second tier | ||
Metaverse
ETP
|
0.94006836 | details, prediction |
Ardor
ARDR
|
0.93271774 | details, prediction |
Bytom
BTM
|
0.9310773 | details, prediction |
Huobi Token
HT
|
0.9310569 | details, prediction |
Aurora Chain
AOA
|
0.9080835 | details, prediction |
| Third tier | ||
Energi
NRG
|
0.95844454 | details, prediction |
Eligma
ELI
|
0.9502477 | details, prediction |
Vitae
VITAE
|
0.9496097 | details, prediction |
Dreamscape
DSC
|
0.9383254 | details, prediction |
Blackmoon Crypto
BMC
|
0.9297985 | details, prediction |
This report should be leaned to get most info about heading trends. It means that ZCash 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 ZCash
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Tezos
XTZ
|
-0.11214225 | details, prediction |
Stellar
XLM
|
0.26794988 | details, prediction |
Cosmos
ATOM
|
0.37844732 | details, prediction |
EOS
EOS
|
0.61600965 | details, prediction |
Cardano
ADA
|
0.61878395 | details, prediction |
| Second tier | ||
Crypto.com Chain
CRO
|
-0.82202196 | details, prediction |
V Systems
VSYS
|
-0.8175832 | details, prediction |
Factom
FCT
|
-0.8049518 | details, prediction |
Augur
REP
|
-0.63744175 | details, prediction |
Aion
AION
|
-0.55419487 | details, prediction |
| Third tier | ||
Kin
KIN
|
-0.8678843 | details, prediction |
Linkey
LKY
|
-0.8633201 | details, prediction |
TerraCoin
TRC
|
-0.8485758 | details, prediction |
Melon
MLN
|
-0.82573366 | details, prediction |
Paragon
PRG
|
-0.8019991 | 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)