TokenStars 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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TokenStars price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of TEAM has broken last trend and will FALL from the support level $0.015120001Historic 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 |
|---|---|---|
| $0.0333450622856617 | Weight: 7.65 | 16 Sep 2018 |
| $0.03280835226178169 | Weight: 6.865 | 08 Oct 2018 |
| $0.02717471867799759 | Weight: 6.827 | 14 Sep 2018 |
| $0.025776851922273636 | Weight: 21.689 | 13 Sep 2018 |
| $0.02267971821129322 | Weight: 5.161 | 07 Oct 2018 |
| $0.013305283151566982 | Weight: 100 | 24 Jul 2018 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.015120001 | Maximum price support level based on 24 hours movements |
TokenStars price levels prediction for next 7 days
Next 7 days brief prediction
Price of TEAM has broken last trend and will FALL from the support level $0.01509Historic 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 |
|---|---|---|
| $0.04429955780506134 | Weight: 5.779 | 14 Sep 2018 |
| $0.036438871175050735 | Weight: 5.729 | 13 Sep 2018 |
| $0.0333450622856617 | Weight: 7.65 | 16 Sep 2018 |
| $0.03280835226178169 | Weight: 6.865 | 08 Oct 2018 |
| $0.02717471867799759 | Weight: 6.827 | 14 Sep 2018 |
| $0.025776851922273636 | Weight: 21.689 | 13 Sep 2018 |
| $0.02267971821129322 | Weight: 5.161 | 07 Oct 2018 |
| $0.013305283151566982 | Weight: 100 | 24 Jul 2018 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.01509 | Maximum price support level based on 7 days movements |
TokenStars price levels prediction for next 30 days
Next 30 days brief prediction
Price of TEAM has broken last trend and will FALL from the support level $0.024900006Historic 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 |
|---|---|---|
| $0.13152024149894714 | Weight: 54.938 | 25 Jul 2018 |
| $0.1282404363155365 | Weight: 60.053 | 23 Jul 2018 |
| $0.12744221091270447 | Weight: 50.73 | 26 May 2018 |
| $0.12224829196929932 | Weight: 33.936 | 10 Aug 2018 |
| $0.11060274392366409 | Weight: 33.897 | 13 Aug 2018 |
| $0.1100655049085617 | Weight: 37.718 | 01 Aug 2018 |
| $0.10147341340780258 | Weight: 32.718 | 05 Aug 2018 |
| $0.08234889805316925 | Weight: 50.007 | 29 Jun 2018 |
| $0.04824625700712204 | Weight: 63.779 | 11 Aug 2018 |
| $0.013305283151566982 | Weight: 100 | 24 Jul 2018 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 0.024900006 | Maximum price support level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
ZCash
ZEC
|
0.8081058 | details, prediction |
Ethereum Classic
ETC
|
0.77068305 | details, prediction |
Ethereum
ETH
|
0.76501596 | details, prediction |
Cardano
ADA
|
0.75172406 | details, prediction |
Binance Coin
BNB
|
0.74550176 | details, prediction |
| Second tier | ||
0x
ZRX
|
0.76533425 | details, prediction |
Horizen
ZEN
|
0.76148486 | details, prediction |
Ravencoin
RVN
|
0.7409078 | details, prediction |
MonaCoin
MONA
|
0.7294186 | details, prediction |
Digix DAO
DGD
|
0.72661763 | details, prediction |
| Third tier | ||
EdenChain
EDN
|
0.9192871 | details, prediction |
DACSEE
DACS
|
0.9029387 | details, prediction |
Credit Tag Chain
CTC
|
0.9026061 | details, prediction |
CWV Chain
CWV
|
0.89010745 | details, prediction |
Vexanium
VEX
|
0.87446463 | details, prediction |
This report should be leaned to get most info about heading trends. It means that TokenStars 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 TokenStars
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Dogecoin
DOGE
|
-0.730201 | details, prediction |
ChainLink
LINK
|
-0.37264195 | details, prediction |
XRP
XRP
|
0.02765129 | details, prediction |
Monero
XMR
|
0.2623815 | details, prediction |
Stellar
XLM
|
0.3425592 | details, prediction |
| Second tier | ||
HoloToken
HOT
|
-0.6426955 | details, prediction |
Quant Network
QNT
|
-0.5610693 | details, prediction |
True USD
TUSD
|
-0.41173854 | details, prediction |
Nano
NANO
|
-0.19954577 | details, prediction |
Telcoin
TEL
|
-0.19831175 | details, prediction |
| Third tier | ||
Vitae
VITAE
|
-0.88301486 | details, prediction |
Dreamscape
DSC
|
-0.76811814 | details, prediction |
BHPCash
BHPC
|
-0.728933 | details, prediction |
NIX
NIX
|
-0.7130892 | details, prediction |
Airbloc
ABL
|
-0.6629375 | 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)