UnifAI Market Value
| UAI Crypto | USD 0.16 0.01 5.88% |
| Symbol | UnifAI |
UnifAI '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 UnifAI'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 UnifAI.
| 12/10/2025 |
| 01/09/2026 |
If you would invest 0.00 in UnifAI on December 10, 2025 and sell it all today you would earn a total of 0.00 from holding UnifAI or generate 0.0% return on investment in UnifAI over 30 days. UnifAI is related to or competes with XRP, Solana, TRON, Staked Ether, Hyperliquid, Sui, and WhiteBIT Token. UnifAI is peer-to-peer digital currency powered by the Blockchain technology.
UnifAI 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 UnifAI'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 UnifAI upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 31.25 | |||
| Value At Risk | (7.14) | |||
| Potential Upside | 7.69 |
UnifAI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for UnifAI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as UnifAI's standard deviation. In reality, there are many statistical measures that can use UnifAI historical prices to predict the future UnifAI's volatility.| Risk Adjusted Performance | (0.01) | |||
| Total Risk Alpha | (0.54) |
UnifAI Backtested Returns
UnifAI is abnormally risky given 3 months investment horizon. UnifAI owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates digital coin had a 0.13 % return per unit of risk over the last 3 months. We were able to collect and analyze data for nineteen different technical indicators, which can help you to evaluate if expected returns of 15.64% are justified by taking the suggested risk. Use UnifAI Standard Deviation of 4.33, information ratio of (0.04), and Risk Adjusted Performance of (0.01) to evaluate coin specific risk that cannot be diversified away. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and UnifAI are completely uncorrelated.
Auto-correlation | 0.62 |
Good predictability
UnifAI has good predictability. Overlapping area represents the amount of predictability between UnifAI 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 UnifAI price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current UnifAI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
UnifAI lagged returns against current returns
Autocorrelation, which is UnifAI 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 UnifAI's crypto coin expected returns. We can calculate the autocorrelation of UnifAI returns to help us make a trade decision. For example, suppose you find that UnifAI 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 |
UnifAI 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 UnifAI crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if UnifAI crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in UnifAI crypto coin over time.
Current vs Lagged Prices |
| Timeline |
UnifAI Lagged Returns
When evaluating UnifAI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of UnifAI crypto coin have on its future price. UnifAI 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, UnifAI autocorrelation shows the relationship between UnifAI crypto coin current value and its past values and can show if there is a momentum factor associated with investing in UnifAI.
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 UnifAI offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of UnifAI'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 Unifai Crypto.Check out UnifAI Correlation, UnifAI Volatility and Investing Opportunities module to complement your research on UnifAI. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
UnifAI 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.