Bitcoin 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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Bitcoin price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of BTC has broken last trend and will RAISE from the support level $8884.0Historic 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 |
|---|---|---|
| $9243.611328125 | Weight: 8.624 | 20 Jun 2019 |
| $9239.9736328125 | Weight: 12.451 | 04 Feb 2018 |
| $9115.447265625 | Weight: 26.74 | 17 Jul 2019 |
| $9025.6240234375 | Weight: 8.327 | 02 Feb 2018 |
| $9024.8837890625 | Weight: 13.34 | 29 Nov 2017 |
| $9015.529296875 | Weight: 49.492 | 30 Nov 2017 |
| $8940.9365234375 | Weight: 11.776 | 24 Mar 2018 |
| $8914.56640625 | Weight: 13.32 | 27 May 2019 |
| $8782.9814453125 | Weight: 9.781 | 11 Oct 2019 |
| $8564.939453125 | Weight: 13.726 | 07 Feb 2018 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 8884.0 | Minimal price support level based on 24 hours movements |
Bitcoin price levels prediction for next 7 days
Next 7 days brief prediction
Price of BTC has broken last trend and will RAISE from the support level $8841.0Historic 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 |
|---|---|---|
| $9387.4404296875 | Weight: 23.644 | 17 Jan 2018 |
| $9290.947265625 | Weight: 24.436 | 31 Jul 2018 |
| $9252.27734375 | Weight: 16.618 | 27 Nov 2019 |
| $9115.447265625 | Weight: 26.74 | 17 Jul 2019 |
| $9015.529296875 | Weight: 49.492 | 30 Nov 2017 |
| $8384.421875 | Weight: 16.469 | 09 Mar 2018 |
| $7832.39453125 | Weight: 16.109 | 08 Nov 2017 |
| $7539.96435546875 | Weight: 28.872 | 10 Jun 2019 |
| $7423.34423828125 | Weight: 17.26 | 25 Oct 2019 |
| $7210.4306640625 | Weight: 22.503 | 06 Oct 2019 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 8841.0 | Minimal price support level based on 7 days movements |
Bitcoin price levels prediction for next 30 days
Next 30 days brief prediction
Price of BTC has broken last trend and will RAISE from the support level $8730.0Historic 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 |
|---|---|---|
| $10227.7666015625 | Weight: 18.293 | 26 Oct 2019 |
| $9982.8828125 | Weight: 24.399 | 05 May 2018 |
| $9740.9287109375 | Weight: 19.053 | 02 Jul 2019 |
| $9387.4404296875 | Weight: 23.644 | 17 Jan 2018 |
| $9290.947265625 | Weight: 24.436 | 31 Jul 2018 |
| $9115.447265625 | Weight: 26.74 | 17 Jul 2019 |
| $9015.529296875 | Weight: 49.492 | 30 Nov 2017 |
| $7539.96435546875 | Weight: 28.872 | 10 Jun 2019 |
| $7210.4306640625 | Weight: 22.503 | 06 Oct 2019 |
| $6453.5380859375 | Weight: 29.302 | 01 Apr 2018 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 8730.0 | Minimal price support level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
EOS
EOS
|
0.95301425 | details, prediction |
Litecoin
LTC
|
0.9451163 | details, prediction |
Huobi Token
HT
|
0.93814135 | details, prediction |
Ethereum Classic
ETC
|
0.9194082 | details, prediction |
Ethereum
ETH
|
0.91841435 | details, prediction |
| Second tier | ||
Bitcoin Diamond
BCD
|
0.9564883 | details, prediction |
KuCoin Shares
KCS
|
0.9459489 | details, prediction |
BitTorrent
BTT
|
0.9390312 | details, prediction |
ZCash
ZEC
|
0.883079 | details, prediction |
ICON
ICX
|
0.8660607 | details, prediction |
| Third tier | ||
Experience Points
XP
|
0.9990287 | details, prediction |
Atlas Protocol
ATP
|
0.94060224 | details, prediction |
ThoreNext
THX
|
0.94027644 | details, prediction |
Kcash
KCASH
|
0.9319685 | details, prediction |
ThoreCoin
THR
|
0.92823684 | details, prediction |
This report should be leaned to get most info about heading trends. It means that Bitcoin price can be leaded by other, more mighty cryptocurrency, or maybe some market trend have affect on it.
Low correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Tezos
XTZ
|
-0.6049711 | details, prediction |
ChainLink
LINK
|
0.31929874 | details, prediction |
Bitcoin SV
BSV
|
0.6733983 | details, prediction |
TRON
TRX
|
0.7521724 | details, prediction |
Stellar
XLM
|
0.8004646 | details, prediction |
| Second tier | ||
Seele
SEELE
|
-0.69188404 | details, prediction |
FTX Token
FTT
|
-0.6820654 | details, prediction |
Synthetix Network Token
SNX
|
-0.6617242 | details, prediction |
HedgeTrade
HEDG
|
-0.46382967 | details, prediction |
Centrality
CENNZ
|
-0.4001091 | details, prediction |
| Third tier | ||
Blockport
BPT
|
-0.7254869 | details, prediction |
Tycoon Global
TCT
|
-0.71563977 | details, prediction |
BABB
BAX
|
-0.6396031 | details, prediction |
GoChain
GO
|
-0.603478 | details, prediction |
Exchange Union
XUC
|
-0.5789559 | 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)