Exmo Litecoin (in USD) Valuation Overview

EXMOLTC -- Cryptlandia Crypto  

USD 54.68  0.17  0.31%

Exmo Litecoin USD shows prevailing Real Value of $55.987500000000004 per share. The current price of the entity is $54.68. Macroaxis computes value of Exmo Litecoin USD from reviewing the entity technical indicators and Probability Of Bankruptcy. In general, we advise to go long with undervalued instruments and to sell out overvalued instruments since at some point assets prices and their ongoing real values will submerge.
Horizon     30 Days    Login   to change

Exmo Litecoin USD Supply Analysis

Coin Takeover PriceCoin Market CapCoin SupplyCoins Mined
2.37 M2.37 M84 M58.7 M

Exmo Litecoin USD Price Momentum Patterns

Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The average directional index (ADX) measures the strength of a prevailing trend of Exmo Litecoin USD and whether movement exists in the market. The ADX is measured on a scale of 0 to 100. A low Exmo Litecoin ADX value usually indicates a non-trending market with low volumes, whereas a cross above 20 may indicate the start of a trend. If the ADX is over 40 and begins to fall, it can indicate the slowdown of a current trend. This indicator can also be used to identify non-trending markets, or a deterioration of an ongoing trend. Although market direction is important in its calculation, the ADX is not a directional indicator View also all equity analysis or get more info about average directional movement index momentum indicators indicator.

Current Market Valuation

Exmo Litecoin USD Valuation Boundaries

Fairly Valued
October 16, 2018
54.68
Market Value
55.99
Real Value
Target Odds
  
65.62
Upside
Exmo Litecoin is very volatile asset. Calculation of real value of Exmo Litecoin USD is based on 1 month time horizon. Increasing Exmo Litecoin USD time horizon generally increases accuracy of value calculation and significantly improves predictive power of the methodology used.
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