PRASM 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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PRASM price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of PSM has broken last trend and will FALL from the support level $7.77E-5Historic 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 |
|---|---|---|
| $1.5334374620579183E-4 | Weight: 25.969 | 18 Dec 2018 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 7.77E-5 | Maximum price support level based on 24 hours movements |
PRASM price levels prediction for next 7 days
Next 7 days brief prediction
Price of PSM has broken last trend and will FALL from the support level $1.10199995E-4Historic 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 |
|---|---|---|
| $1.5334374620579183E-4 | Weight: 25.969 | 18 Dec 2018 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 1.10199995E-4 | Maximum price support level based on 7 days movements |
PRASM price levels prediction for next 30 days
Next 30 days brief prediction
Price of PSM is now on EDGE at $7.4999996E-5. So the next scenario is able. If price will go up it will spend next in CHANNEL near to $2.1599999E-4 with $3.02E-4 as upper border and $7.4999996E-5 as bottom. If price will go down, it will FALL with support level $7.4999996E-5Historic 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 |
|---|---|---|
| $0.0010397246805951 | Weight: 87.533 | 09 Oct 2018 |
| $9.984305361285806E-4 | Weight: 26.524 | 11 Oct 2018 |
| $9.505445486865938E-4 | Weight: 24.472 | 20 Dec 2018 |
| $8.816040935926139E-4 | Weight: 39.921 | 31 Oct 2018 |
| $8.806520490907133E-4 | Weight: 15.885 | 02 Nov 2018 |
| $8.361004292964935E-4 | Weight: 16.077 | 31 Dec 2018 |
| $7.593753980472684E-4 | Weight: 60.638 | 02 Nov 2018 |
| $7.476262981072068E-4 | Weight: 56.319 | 20 Nov 2018 |
| $3.2151839695870876E-4 | Weight: 16.785 | 28 Dec 2018 |
| $1.5334374620579183E-4 | Weight: 25.969 | 18 Dec 2018 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 7.4999996E-5 | Edge price dividing trends based on 30 days movements |
| 3.02E-4 | Channel maximum price resist level based in case of RAISE trend on 30 days movements |
| 7.4999996E-5 | Channel minimum price resist level based in case of RAISE trend on 30 days movements |
| 7.4999996E-5 | Minimum price support level in case of FALL trend based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Stellar
XLM
|
0.8120365 | details, prediction |
Bitcoin SV
BSV
|
0.793543 | details, prediction |
Fantom
FTM
|
0.6539718 | details, prediction |
KuCoin Shares
KCS
|
0.6393682 | details, prediction |
SONM
SNM
|
0.6293298 | details, prediction |
| Second tier | ||
NEM
XEM
|
0.8697358 | details, prediction |
0x
ZRX
|
0.84403294 | details, prediction |
Polymath Network
POLY
|
0.76603246 | details, prediction |
Decentraland
MANA
|
0.71293557 | details, prediction |
Siacoin
SC
|
0.71001464 | details, prediction |
| Third tier | ||
Gulden
NLG
|
0.90888906 | details, prediction |
FeatherCoin
FTC
|
0.88790125 | details, prediction |
PrimeCoin
XPM
|
0.87542766 | details, prediction |
Ionomy
ION
|
0.87332433 | details, prediction |
Docademic
MTC
|
0.86793745 | details, prediction |
This report should be leaned to get most info about heading trends. It means that PRASM 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 PRASM
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Binance Coin
BNB
|
-0.7853223 | details, prediction |
Litecoin
LTC
|
-0.7341615 | details, prediction |
Theta
THETA
|
-0.6337579 | details, prediction |
Maker
MKR
|
-0.6004866 | details, prediction |
TRON
TRX
|
-0.57201606 | details, prediction |
| Second tier | ||
Quant Network
QNT
|
-0.78265 | details, prediction |
HoloToken
HOT
|
-0.7458511 | details, prediction |
Internet of Services
IOST
|
-0.6576446 | details, prediction |
iEx.ec
RLC
|
-0.60168284 | details, prediction |
ARK
ARK
|
-0.59370065 | details, prediction |
| Third tier | ||
DAOstack
GEN
|
-0.8590347 | details, prediction |
TomoChain
TOMO
|
-0.8037729 | details, prediction |
Santiment
SAN
|
-0.8011522 | details, prediction |
Chainium
CHX
|
-0.8008574 | details, prediction |
CommerceBlock
CBT
|
-0.750812 | 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)