Yobit HempCoin (in USD) Valuation

Yobit HempCoin USD -- Cryptlandia Crypto  

 0.0001  0.00001  6.25%

Yobit HempCoin seems to be over valued based on Macroaxis valuation methodology. Macroaxis calculates value of Yobit HempCoin USD from examining the crypto technical indicators and Probability Of Bankruptcy. In general, we encourage to purchase undervalued securites and to sell overvalued securites since at some point equities prices and their ongoing real values will grow together.
 Time Horizon     30 Days    Login   to change

Yobit HempCoin USD Supply Analysis

Coin Takeover PriceCoin Market CapCoin SupplyCoins Mined
1.67 K1.67 K5 B218 M

Yobit HempCoin 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 Yobit HempCoin USD and whether movement exists in the market. The ADX is measured on a scale of 0 to 100. A low Yobit HempCoin 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
January 21, 2018
0.00015
Market Value
Downside upside
0.000144
Real Value
Target Price Odds
 Above  Below  
150.02
Upside
Upside upside
Yobit HempCoin is abnormally risky asset. Calculation of real value of Yobit HempCoin USD is based on 1 month time horizon. Increasing Yobit HempCoin USD time horizon generally increases accuracy of value calculation and significantly improves predictive power of the methodology used.