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
Read more detailed info about this tool
Bitcoin price levels prediction for next 24 hours
Next 24 hours brief prediction
Price of BTC will be traded in CHANNEL near to $8696.0 with $8808.0 as upper border and $8536.0 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 |
|---|---|---|
| $8940.9365234375 | Weight: 11.843 | 24 Mar 2018 |
| $8685.9052734375 | Weight: 6.828 | 26 Apr 2018 |
| $8632.451171875 | Weight: 6.416 | 08 Feb 2018 |
| $8564.939453125 | Weight: 13.804 | 07 Feb 2018 |
Volume profile price channel in 24 hours range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 8808.0 | Channel maximum price resist level based on 24 hours movements |
| 8536.0 | Channel minimum price resist 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 FALL from the support level $8688.0Historic 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 |
|---|---|---|
| $10227.7666015625 | Weight: 14.797 | 26 Oct 2019 |
| $9881.6806640625 | Weight: 15.644 | 17 Jan 2018 |
| $9799.0205078125 | Weight: 18.123 | 25 Apr 2018 |
| $9740.9287109375 | Weight: 19.161 | 02 Jul 2019 |
| $9387.4404296875 | Weight: 23.778 | 17 Jan 2018 |
| $9290.947265625 | Weight: 28.279 | 31 Jul 2018 |
| $9115.447265625 | Weight: 25.869 | 17 Jul 2019 |
| $9015.529296875 | Weight: 49.773 | 30 Nov 2017 |
| $7832.39453125 | Weight: 16.2 | 08 Nov 2017 |
| $7609.1181640625 | Weight: 14.979 | 02 Feb 2018 |
Volume profile price channel in 7 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 8688.0 | Maximum price support level based on 7 days movements |
Bitcoin price levels prediction for next 30 days
Next 30 days brief prediction
Price of BTC will be traded in CHANNEL near to $9040.0 with $9370.0 as upper border and $7910.0 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 |
|---|---|---|
| $12291.0517578125 | Weight: 21.048 | 06 Aug 2019 |
| $11999.38671875 | Weight: 43.329 | 22 Dec 2017 |
| $11957.8837890625 | Weight: 28.747 | 28 Jan 2018 |
| $11793.623046875 | Weight: 37.545 | 21 Feb 2018 |
| $10453.1005859375 | Weight: 20.539 | 27 Jun 2019 |
| $9740.9287109375 | Weight: 19.161 | 02 Jul 2019 |
| $9387.4404296875 | Weight: 23.778 | 17 Jan 2018 |
| $9290.947265625 | Weight: 28.279 | 31 Jul 2018 |
| $9115.447265625 | Weight: 25.869 | 17 Jul 2019 |
| $9015.529296875 | Weight: 49.773 | 30 Nov 2017 |
Volume profile price channel in 30 days range
Edge levels of the price channel based on volume profile report.
| Price | Description |
|---|---|
| 9370.0 | Channel maximum price resist level based on 30 days movements |
| 7910.0 | Channel minimum price resist level based on 30 days movements |
Highly correlated currencies
| Coin | Correlation | Links |
|---|---|---|
| First tier | ||
Monero
XMR
|
0.95259327 | details, prediction |
Bitcoin Cash
BCH
|
0.92149174 | details, prediction |
DASH
DASH
|
0.9007591 | details, prediction |
Huobi Token
HT
|
0.89120257 | details, prediction |
Litecoin
LTC
|
0.8901485 | details, prediction |
| Second tier | ||
KuCoin Shares
KCS
|
0.9449152 | details, prediction |
Decred
DCR
|
0.9221418 | details, prediction |
Bitcoin Diamond
BCD
|
0.906929 | details, prediction |
Internet of Services
IOST
|
0.9044673 | details, prediction |
OmiseGo
OMG
|
0.89636254 | details, prediction |
| Third tier | ||
ThoreCoin
THR
|
0.96020734 | details, prediction |
BitDice
CSNO
|
0.95071834 | details, prediction |
Particl
PART
|
0.9326329 | details, prediction |
Uquid Coin
UQC
|
0.9264097 | details, prediction |
Optimal Shelf Availability Token
OSA
|
0.9203123 | 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 | ||
IOTA
IOT
|
-0.21351084 | details, prediction |
ChainLink
LINK
|
-0.15657185 | details, prediction |
XRP
XRP
|
0.29740563 | details, prediction |
Stellar
XLM
|
0.5328489 | details, prediction |
TRON
TRX
|
0.59006906 | details, prediction |
| Second tier | ||
0x
ZRX
|
-0.6183038 | details, prediction |
DxChain
DX
|
-0.6065191 | details, prediction |
Paxos Standard
PAX
|
-0.34893644 | details, prediction |
True USD
TUSD
|
-0.34135386 | details, prediction |
Nexo
NEXO
|
-0.19095361 | details, prediction |
| Third tier | ||
Snetwork
SNET
|
-0.81516427 | details, prediction |
Ripio
RCN
|
-0.79322296 | details, prediction |
Crypterium
CRPT
|
-0.77656525 | details, prediction |
Dynamic Trading Rights
DTR
|
-0.7517666 | details, prediction |
uDoo
UDOO
|
-0.74956065 | 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)