LendingBlock 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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LendingBlock price levels prediction for next 24 hours

Next 24 hours brief prediction

Price of LND has broken last trend and will FALL from the support level $1.2299999E-4

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

Volume profile price channel in 24 hours range

Edge levels of the price channel based on volume profile report.
Price Description
1.2299999E-4 Maximum price support level based on 24 hours movements

LendingBlock price levels prediction for next 7 days

Next 7 days brief prediction

Price of LND has broken last trend and will FALL from the support level $3.3480002E-4

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
3.3480002E-4 Maximum price support level based on 7 days movements

LendingBlock price levels prediction for next 30 days

Next 30 days brief prediction

Price of LND has broken last trend and will FALL from the support level $5.684E-4

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

Volume profile price channel in 30 days range

Edge levels of the price channel based on volume profile report.
Price Description
5.684E-4 Maximum price support level based on 30 days movements
Highly correlated currencies
Coin Correlation Links
First tier
0.54838324 details, prediction
0.340075 details, prediction
0.25928 details, prediction
0.20559427 details, prediction
0.13912223 details, prediction
Second tier
0.5112321 details, prediction
0.47285333 details, prediction
0.40725526 details, prediction
0.3785907 details, prediction
0.2553515 details, prediction
Third tier
0.8459173 details, prediction
0.8260977 details, prediction
0.64590335 details, prediction
0.6271667 details, prediction
0.6269507 details, prediction


This report should be leaned to get most info about heading trends. It means that LendingBlock 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 LendingBlock
Low correlated currencies
Coin Correlation Links
First tier
-0.45159236 details, prediction
-0.4338892 details, prediction
-0.3950107 details, prediction
-0.37783754 details, prediction
-0.3702994 details, prediction
Second tier
-0.5165165 details, prediction
-0.46421057 details, prediction
-0.45709816 details, prediction
-0.43332762 details, prediction
-0.42659384 details, prediction
Third tier
-0.62380266 details, prediction
-0.5458182 details, prediction
-0.51996607 details, prediction
-0.5128862 details, prediction
-0.5102564 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)