BitStation 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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BitStation price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of BSTN has broken last trend and will FALL from the support level $5.846E-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 |
|---|
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 5.846E-5 | Maximum price support level based on 24 hours movements |
BitStation price levels prediction for next 7 days
Next 7 days brief prediction
Price of BSTN has broken last trend and will FALL from the support level $5.74E-5Historic 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 |
|---|---|
| 5.74E-5 | Maximum price support level based on 7 days movements |
BitStation price levels prediction for next 30 days
Next 30 days brief prediction
Price of BSTN is now on EDGE at $8.500001E-5. So the next scenario is able. If price will go up it will spend next in CHANNEL near to $1.87E-4 with $1.87E-4 as upper border and $8.500001E-5 as bottom. If price will go down, it will FALL with support level $8.500001E-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 |
|---|---|---|
| $0.00111846171785146 | Weight: 16.19 | 13 Jun 2018 |
| $0.0010960976360365748 | Weight: 9.708 | 03 Jul 2018 |
| $0.0010052454890683293 | Weight: 10.262 | 04 Jul 2018 |
| $8.927126182243228E-4 | Weight: 11.409 | 23 Jul 2018 |
| $8.900598622858524E-4 | Weight: 16.917 | 02 Jul 2018 |
| $7.435395382344723E-4 | Weight: 14.223 | 12 Jul 2018 |
| $7.204332505352795E-4 | Weight: 14.354 | 05 Aug 2018 |
| $6.777534144930542E-4 | Weight: 81.151 | 23 Jun 2018 |
| $4.7002220526337624E-4 | Weight: 10.197 | 03 Aug 2018 |
| $2.0907257567159832E-4 | Weight: 19.714 | 14 Aug 2018 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 8.500001E-5 | Edge price dividing trends based on 30 days movements |
| 1.87E-4 | Channel maximum price resist level based in case of RAISE trend on 30 days movements |
| 8.500001E-5 | Channel minimum price resist level based in case of RAISE trend on 30 days movements |
| 8.500001E-5 | Minimum price support level in case of FALL trend based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Ethereum
ETH
|
0.9422587 | details, prediction |
SONM
SNM
|
0.940558 | details, prediction |
Litecoin
LTC
|
0.9370173 | details, prediction |
TRON
TRX
|
0.93356603 | details, prediction |
Bitcoin Cash
BCH
|
0.89685136 | details, prediction |
| Second tier | ||
Ethos (Bitquence)
BQX
|
0.97900987 | details, prediction |
QTUM
QTUM
|
0.9783124 | details, prediction |
FirstBlood
1ST
|
0.97705 | details, prediction |
OriginTrail
TRAC
|
0.97117096 | details, prediction |
Digix DAO
DGD
|
0.9690954 | details, prediction |
| Third tier | ||
XinFin
XDCE
|
0.9819697 | details, prediction |
Distributed Credit Chain
DCC
|
0.9802048 | details, prediction |
SingularityNET
AGI
|
0.97965086 | details, prediction |
Moneytoken
IMT
|
0.97834986 | details, prediction |
SwftCoin
SWFTC
|
0.9781974 | details, prediction |
This report should be leaned to get most info about heading trends. It means that BitStation 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 BitStation
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
ChainLink
LINK
|
-0.6955859 | details, prediction |
Dogecoin
DOGE
|
-0.5328255 | details, prediction |
Bitcoin
BTC
|
0.08052277 | details, prediction |
Stellar
XLM
|
0.14991146 | details, prediction |
Monero
XMR
|
0.68165344 | details, prediction |
| Second tier | ||
HoloToken
HOT
|
-0.7012762 | details, prediction |
Vechain
VET
|
-0.37754977 | details, prediction |
True USD
TUSD
|
-0.27830514 | details, prediction |
Dai
DAI
|
0.016954174 | details, prediction |
Nano
NANO
|
0.2701587 | details, prediction |
| Third tier | ||
Metaverse
ETP
|
-0.9371639 | details, prediction |
Vitae
VITAE
|
-0.8129649 | details, prediction |
BHPCash
BHPC
|
-0.64468277 | details, prediction |
Speed Mining Service
SMS
|
-0.5956488 | details, prediction |
NIX
NIX
|
-0.53991616 | 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)