Sahara AI Market Value
| SAHARA Crypto | USD 0.03 0.0001 0.36% |
| Symbol | Sahara |
Sahara 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 Sahara 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 Sahara AI.
| 12/10/2025 |
| 01/09/2026 |
If you would invest 0.00 in Sahara AI on December 10, 2025 and sell it all today you would earn a total of 0.00 from holding Sahara AI or generate 0.0% return on investment in Sahara AI over 30 days. Sahara AI is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Sahara AI is peer-to-peer digital currency powered by the Blockchain technology.
Sahara 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 Sahara 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 Sahara AI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 48.92 | |||
| Value At Risk | (11.45) | |||
| Potential Upside | 6.2 |
Sahara AI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sahara AI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sahara AI's standard deviation. In reality, there are many statistical measures that can use Sahara AI historical prices to predict the future Sahara AI's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (1.25) | |||
| Total Risk Alpha | (1.92) | |||
| Treynor Ratio | 1.55 |
Sahara AI Backtested Returns
Sahara AI owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.25, which indicates digital coin had a -0.25 % return per unit of risk over the last 3 months. Sahara AI exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sahara AI's Risk Adjusted Performance of (0.15), variance of 38.05, and Coefficient Of Variation of (475.11) to confirm the risk estimate we provide. The entity has a beta of -0.85, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Sahara AI are expected to decrease at a much lower rate. During the bear market, Sahara AI is likely to outperform the market.
Auto-correlation | -0.34 |
Poor reverse predictability
Sahara AI has poor reverse predictability. Overlapping area represents the amount of predictability between Sahara AI time series from 10th of December 2025 to 25th of December 2025 and 25th of December 2025 to 9th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Sahara AI price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Sahara AI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sahara AI lagged returns against current returns
Autocorrelation, which is Sahara 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 Sahara AI's crypto coin expected returns. We can calculate the autocorrelation of Sahara AI returns to help us make a trade decision. For example, suppose you find that Sahara 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 |
Sahara 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 Sahara AI crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sahara 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 Sahara AI crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Sahara AI Lagged Returns
When evaluating Sahara AI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sahara AI crypto coin have on its future price. Sahara 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, Sahara AI autocorrelation shows the relationship between Sahara AI crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Sahara 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 Sahara AI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Sahara 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 Sahara Ai Crypto.Check out Sahara AI Correlation, Sahara AI Volatility and Investing Opportunities module to complement your research on Sahara AI. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Sahara 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.