B2B 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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B2B price levels prediction for next 7 days

Next 7 days brief prediction

Price of B2B has broken last trend and will FALL from the support level $0.0826

Historic 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
0.0826 Maximum price support level based on 7 days movements

B2B price levels prediction for next 30 days

Next 30 days brief prediction

Price of B2B has broken last trend and will RAISE from the support level $0.0413

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
$0.11220508813858032 Weight: 11.9 08 Jun 2021
$0.11129739880561829 Weight: 47.763 09 May 2021
$0.11030206084251404 Weight: 14.375 06 Jun 2021
$0.10299583524465561 Weight: 47.71 04 May 2021
$0.09815073758363724 Weight: 17.948 12 May 2022
$0.09632394462823868 Weight: 17.228 29 Jun 2021
$0.08046595752239227 Weight: 70.845 24 Jun 2021
$0.06682556867599487 Weight: 91.681 07 Feb 2021
$0.052344631403684616 Weight: 15.693 18 May 2022
$0.04130174219608307 Weight: 21.811 20 Apr 2022

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
0.0413 Minimal price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.17311439 details, prediction
-0.1542557 details, prediction
-0.15949424 details, prediction
-0.20992689 details, prediction
-0.22004996 details, prediction
Second tier
0.22444785 details, prediction
0.16416252 details, prediction
0.121603355 details, prediction
0.09327003 details, prediction
0.03949647 details, prediction
Third tier
0.7019804 details, prediction
0.57989097 details, prediction
0.47084442 details, prediction
0.37001652 details, prediction
0.34042037 details, prediction


This report should be leaned to get most info about heading trends. It means that B2B 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 B2B
Low correlated currencies
Coin Correlation Links
First tier
-0.58934546 details, prediction
-0.52713066 details, prediction
-0.38063687 details, prediction
-0.315967 details, prediction
-0.30261183 details, prediction
Second tier
-0.54626775 details, prediction
-0.5239208 details, prediction
-0.4674299 details, prediction
-0.4547515 details, prediction
-0.44396707 details, prediction
Third tier
-0.743716 details, prediction
-0.60322785 details, prediction
-0.57695645 details, prediction
-0.5727031 details, prediction
-0.52434665 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)