Threshold Network Market Value
| T Crypto | USD 0.02 0.0001 0.50% |
| Symbol | Threshold |
Threshold Network 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Threshold Network's crypto coin what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Threshold Network.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in Threshold Network on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Threshold Network Token or generate 0.0% return on investment in Threshold Network over 90 days. Threshold Network is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Threshold Network Token is peer-to-peer digital currency powered by the Blockchain technology.
Threshold Network Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Threshold Network's crypto coin current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Threshold Network Token upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.02 | |||
| Information Ratio | 0.0197 | |||
| Maximum Drawdown | 21.88 | |||
| Value At Risk | (8.33) | |||
| Potential Upside | 8.67 |
Threshold Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Threshold Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Threshold Network's standard deviation. In reality, there are many statistical measures that can use Threshold Network historical prices to predict the future Threshold Network's volatility.| Risk Adjusted Performance | 0.0607 | |||
| Jensen Alpha | 0.449 | |||
| Total Risk Alpha | (0.60) | |||
| Sortino Ratio | 0.0181 | |||
| Treynor Ratio | (0.23) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Threshold Network's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Threshold Network Token Backtested Returns
At this point, Threshold Network is very risky. Threshold Network Token owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0295, which indicates digital coin had a 0.0295 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Threshold Network Token, which you can use to evaluate the volatility of coin. Please validate Threshold Network's Semi Deviation of 4.64, risk adjusted performance of 0.0607, and Coefficient Of Variation of 1712.37 to confirm if the risk estimate we provide is consistent with the expected return of 0.13%. The entity has a beta of -1.13, which indicates a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Threshold Network are expected to decrease slowly. On the other hand, during market turmoil, Threshold Network is expected to outperform it slightly.
Auto-correlation | -0.52 |
Good reverse predictability
Threshold Network Token has good reverse predictability. Overlapping area represents the amount of predictability between Threshold Network time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Threshold Network Token price movement. The serial correlation of -0.52 indicates that about 52.0% of current Threshold Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.52 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Threshold Network Token lagged returns against current returns
Autocorrelation, which is Threshold Network crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Threshold Network's crypto coin expected returns. We can calculate the autocorrelation of Threshold Network returns to help us make a trade decision. For example, suppose you find that Threshold Network has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Threshold Network regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Threshold Network crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Threshold Network crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Threshold Network crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Threshold Network Lagged Returns
When evaluating Threshold Network's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Threshold Network crypto coin have on its future price. Threshold Network autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Threshold Network autocorrelation shows the relationship between Threshold Network crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Threshold Network Token.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Threshold Network Token offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Threshold Network's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Threshold Network Token Crypto.Check out Threshold Network Correlation, Threshold Network Volatility and Investing Opportunities module to complement your research on Threshold Network. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Threshold Network technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.