This module allows you to analyze existing cross correlation between TrustDEX Bitcoin USD and Coinroom Bitcoin USD. You can compare the effects of market volatilities on TrustDEX Bitcoin and Coinroom Bitcoin and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in TrustDEX Bitcoin with a short position of Coinroom Bitcoin. See also your portfolio center. Please also check ongoing floating volatility patterns of TrustDEX Bitcoin and Coinroom Bitcoin.
Assuming 30 trading days horizon, TrustDEX Bitcoin USD is expected to generate 0.92 times more return on investment than Coinroom Bitcoin. However, TrustDEX Bitcoin USD is 1.09 times less risky than Coinroom Bitcoin. It trades about -0.01 of its potential returns per unit of risk. Coinroom Bitcoin USD is currently generating about -0.02 per unit of risk. If you would invest 1,054,328 in TrustDEX Bitcoin USD on March 27, 2018 and sell it today you would lose (86,328) from holding TrustDEX Bitcoin USD or give up 8.19% of portfolio value over 30 days.
Pair Corralation between TrustDEX Bitcoin and Coinroom Bitcoin
Overlapping area represents the amount of risk that can be diversified away by holding TrustDEX Bitcoin USD and Coinroom Bitcoin USD in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Coinroom Bitcoin USD and TrustDEX Bitcoin is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on TrustDEX Bitcoin USD are associated (or correlated) with Coinroom Bitcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Coinroom Bitcoin USD has no effect on the direction of TrustDEX Bitcoin i.e. TrustDEX Bitcoin and Coinroom Bitcoin go up and down completely randomly.
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See also your portfolio center. Please also try My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. macroaxis watchlist is based on self-learning algorithm to remember stocks you like.