Coinroom Monero (in USD) Valuation

Coinroom Monero USD -- Cryptlandia Crypto  

 218.68  10.35  4.97%

Coinroom Monero USD shows prevailing Real Value of USD206.47829999999996 per share. The current price of the entity is USD218.68. Macroaxis approximates value of Coinroom Monero USD from analyzing the entity technical indicators and Probability Of Bankruptcy. In general, we favor to go long with undervalued instruments and to trade away overvalued instruments since at some point assets prices and their ongoing real values will blend.
 Time Horizon     30 Days    Login   to change

Coinroom Monero USD Supply Analysis

Coin Takeover PriceCoin Market CapCoin SupplyCoins Mined
24.15 M24.15 M015.8 M

Coinroom Monero 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 Coinroom Monero USD and whether movement exists in the market. The ADX is measured on a scale of 0 to 100. A low Coinroom Monero 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.
Over Valued
March 23, 2018
Market Value
Downside upside
Real Value
Target Price Odds
 Above  Below  
Upside upside
Coinroom Monero is exceptionally volatile asset. Calculation of real value of Coinroom Monero USD is based on 1 month time horizon. Increasing Coinroom Monero USD time horizon generally increases accuracy of value calculation and significantly improves predictive power of the methodology used.