Correlation Between Bittensor and Drift Protocol
Can any of the company-specific risk be diversified away by investing in both Bittensor and Drift Protocol at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Bittensor and Drift Protocol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bittensor and Drift protocol, you can compare the effects of market volatilities on Bittensor and Drift Protocol 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 Bittensor with a short position of Drift Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bittensor and Drift Protocol.
Diversification Opportunities for Bittensor and Drift Protocol
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bittensor and Drift is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Bittensor and Drift protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Drift protocol and Bittensor 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 Bittensor are associated (or correlated) with Drift Protocol. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Drift protocol has no effect on the direction of Bittensor i.e., Bittensor and Drift Protocol go up and down completely randomly.
Pair Corralation between Bittensor and Drift Protocol
Assuming the 90 days trading horizon Bittensor is expected to generate 1.01 times more return on investment than Drift Protocol. However, Bittensor is 1.01 times more volatile than Drift protocol. It trades about 0.07 of its potential returns per unit of risk. Drift protocol is currently generating about 0.01 per unit of risk. If you would invest 35,790 in Bittensor on April 23, 2025 and sell it today you would earn a total of 5,600 from holding Bittensor or generate 15.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bittensor vs. Drift protocol
Performance |
Timeline |
Bittensor |
Drift protocol |
Bittensor and Drift Protocol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bittensor and Drift Protocol
The main advantage of trading using opposite Bittensor and Drift Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bittensor position performs unexpectedly, Drift Protocol can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Drift Protocol will offset losses from the drop in Drift Protocol's long position.The idea behind Bittensor and Drift protocol pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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