Freysa AI Market Value
| FAI Crypto | USD 0.02 0.0007 3.43% |
| Symbol | Freysa |
Freysa AI '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 Freysa AI'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 Freysa AI.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Freysa AI on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Freysa AI or generate 0.0% return on investment in Freysa AI over 90 days. Freysa AI is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Freysa AI is peer-to-peer digital currency powered by the Blockchain technology.
Freysa AI 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 Freysa AI'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 Freysa AI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.44 | |||
| Information Ratio | 0.0251 | |||
| Maximum Drawdown | 35.17 | |||
| Value At Risk | (8.86) | |||
| Potential Upside | 17.16 |
Freysa AI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Freysa AI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Freysa AI's standard deviation. In reality, there are many statistical measures that can use Freysa AI historical prices to predict the future Freysa AI's volatility.| Risk Adjusted Performance | 0.0507 | |||
| Jensen Alpha | 0.4348 | |||
| Total Risk Alpha | (0.68) | |||
| Sortino Ratio | 0.0327 | |||
| Treynor Ratio | (0.32) |
Freysa AI Backtested Returns
Freysa AI appears to be unreasonably risky, given 3 months investment horizon. Freysa AI secures Sharpe Ratio (or Efficiency) of 0.0447, which denotes digital coin had a 0.0447 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Freysa AI, which you can use to evaluate the volatility of coin. Please utilize Freysa AI's Mean Deviation of 5.24, coefficient of variation of 2220.83, and Downside Deviation of 5.44 to check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of -0.97, which means possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Freysa AI are expected to decrease slowly. On the other hand, during market turmoil, Freysa AI is expected to outperform it slightly.
Auto-correlation | -0.51 |
Good reverse predictability
Freysa AI has good reverse predictability. Overlapping area represents the amount of predictability between Freysa AI time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th 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 Freysa AI price movement. The serial correlation of -0.51 indicates that about 51.0% of current Freysa AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Freysa AI lagged returns against current returns
Autocorrelation, which is Freysa AI 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 Freysa AI's crypto coin expected returns. We can calculate the autocorrelation of Freysa AI returns to help us make a trade decision. For example, suppose you find that Freysa AI 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 |
Freysa AI 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 Freysa AI crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Freysa AI crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Freysa AI crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Freysa AI Lagged Returns
When evaluating Freysa AI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Freysa AI crypto coin have on its future price. Freysa AI 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, Freysa AI autocorrelation shows the relationship between Freysa AI crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Freysa AI.
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 Freysa AI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Freysa AI'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 Freysa Ai Crypto.Check out Freysa AI Correlation, Freysa AI Volatility and Investing Opportunities module to complement your research on Freysa AI. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Freysa AI 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.