Threshold Network Performance
| T Crypto | USD 0.02 0.0001 0.57% |
The entity has a beta of -0.81, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Threshold Network are expected to decrease at a much lower rate. During the bear market, Threshold Network is likely to outperform the market.
Risk-Adjusted Performance
Weak
Weak | Strong |
Compared to the overall equity markets, risk-adjusted returns on investments in Threshold Network Token are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Threshold Network may actually be approaching a critical reversion point that can send shares even higher in August 2025. ...more
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Threshold Network Relative Risk vs. Return Landscape
If you would invest 1.74 in Threshold Network Token on April 27, 2025 and sell it today you would earn a total of 0.01 from holding Threshold Network Token or generate 0.57% return on investment over 90 days. Threshold Network Token is currently generating 0.109% in daily expected returns and assumes 4.4916% risk (volatility on return distribution) over the 90 days horizon. In different words, 40% of crypto coins are less volatile than Threshold, and 98% of all traded equity instruments are projected to make higher returns than the company over the 90 days investment horizon. Expected Return |
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Threshold Network Market Risk Analysis
Today, many novice investors tend to focus exclusively on investment returns with little concern for Threshold Network's investment risk. Standard deviation is the most common way to measure market volatility of crypto coins, such as Threshold Network Token, and traders can use it to determine the average amount a Threshold Network's price has deviated from the expected return over a period of time. It is calculated by determining the expected price for the established period and then subtracting this figure from each price point. The differences are then squared, summed, and averaged to produce the variance.
Sharpe Ratio = 0.0243
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Estimated Market Risk
| 4.49 actual daily | 40 60% of assets are more volatile |
Expected Return
| 0.11 actual daily | 2 98% of assets have higher returns |
Risk-Adjusted Return
| 0.02 actual daily | 1 99% of assets perform better |
Based on monthly moving average Threshold Network is performing at about 1% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Threshold Network by adding it to a well-diversified portfolio.
About Threshold Network Performance
By analyzing Threshold Network's fundamental ratios, stakeholders can gain valuable insights into Threshold Network's financial health, operational efficiency, and overall profitability, helping them make informed investment and management decisions. For instance, if Threshold Network has a high ROA and ROE, it suggests that the company is efficiently using its assets and equity to generate substantial profits, making it an attractive investment. Conversely, if Threshold Network has a low ROA and ROE, it may indicate underlying issues in asset and equity management, signaling a need for operational improvements.
Threshold Network Token is peer-to-peer digital currency powered by the Blockchain technology.| Threshold Network has some characteristics of a very speculative cryptocurrency | |
| Threshold Network had very high historical volatility over the last 90 days | |
| Latest headline from news.google.com: Bitcoin tumbles below 116K in bloodbath for crypto longs - Cointelegraph |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Threshold Network Token. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.