U I Financial Stock Technical Analysis
| UNIF Stock | USD 3.88 0.00 0.00% |
As of the 30th of January, U I has the Market Risk Adjusted Performance of 1.26, risk adjusted performance of (0.03), and Standard Deviation of 0.9199. In respect to fundamental indicators, the technical analysis model makes it possible for you to check timely technical drivers of U I Financial, as well as the relationship between them. In other words, you can use this information to find out if the entity will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to collect and analyze data for thirteen technical drivers for U I Financial, which can be compared to its competition. Please validate U I Financial variance and value at risk to decide if U I is priced fairly, providing market reflects its prevalent price of 3.88 per share. Given that U I Financial has information ratio of (0.11), we advise you to double-check U I Financial's current market performance to make sure the company can sustain itself sooner or later.
U I Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as UNIF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UNIFUNIF |
U I '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 U I's otc stock 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 U I.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in U I on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding U I Financial or generate 0.0% return on investment in U I over 90 days. U I is related to or competes with Apollo Bancorp, MNB Holdings, Commercial National, First Robinson, CBC Holding, WVS Financial, and SSB Bancorp. U I Financial Corp. operates as the holding company for UniBank that provides banking products and services for small to... More
U I 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 U I's otc stock 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 U I Financial upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 5.6 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.27 |
U I Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for U I's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as U I's standard deviation. In reality, there are many statistical measures that can use U I historical prices to predict the future U I's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 1.25 |
U I January 30, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.03) | |||
| Market Risk Adjusted Performance | 1.26 | |||
| Mean Deviation | 0.4346 | |||
| Coefficient Of Variation | (2,191) | |||
| Standard Deviation | 0.9199 | |||
| Variance | 0.8462 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 1.25 | |||
| Maximum Drawdown | 5.6 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.27 | |||
| Skewness | 0.4567 | |||
| Kurtosis | 6.93 |
U I Financial Backtested Returns
U I Financial owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the company had a -0.12 % return per unit of volatility over the last 3 months. U I Financial exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate U I's Standard Deviation of 0.9199, risk adjusted performance of (0.03), and Market Risk Adjusted Performance of 1.26 to confirm the risk estimate we provide. The firm has a beta of -0.0416, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning U I are expected to decrease at a much lower rate. During the bear market, U I is likely to outperform the market. At this point, U I Financial has a negative expected return of -0.1%. Please make sure to validate U I's variance, value at risk, as well as the relationship between the Value At Risk and rate of daily change , to decide if U I Financial performance from the past will be repeated sooner or later.
Auto-correlation | 0.55 |
Modest predictability
U I Financial has modest predictability. Overlapping area represents the amount of predictability between U I time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th 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 U I Financial price movement. The serial correlation of 0.55 indicates that about 55.0% of current U I price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
U I technical otc stock 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, otc market cycles, or different charting patterns.
U I Financial Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of U I Financial volatility developed by Welles Wilder.
About U I Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of U I Financial on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of U I Financial based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on U I Financial price pattern first instead of the macroeconomic environment surrounding U I Financial. By analyzing U I's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of U I's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to U I specific price patterns or momentum indicators. Please read more on our technical analysis page.
U I January 30, 2026 Technical Indicators
Most technical analysis of UNIF help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for UNIF from various momentum indicators to cycle indicators. When you analyze UNIF charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.03) | |||
| Market Risk Adjusted Performance | 1.26 | |||
| Mean Deviation | 0.4346 | |||
| Coefficient Of Variation | (2,191) | |||
| Standard Deviation | 0.9199 | |||
| Variance | 0.8462 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 1.25 | |||
| Maximum Drawdown | 5.6 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.27 | |||
| Skewness | 0.4567 | |||
| Kurtosis | 6.93 |
U I January 30, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as UNIF stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 3.88 | ||
| Day Typical Price | 3.88 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for UNIF OTC Stock analysis
When running U I's price analysis, check to measure U I's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy U I is operating at the current time. Most of U I's value examination focuses on studying past and present price action to predict the probability of U I's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move U I's price. Additionally, you may evaluate how the addition of U I to your portfolios can decrease your overall portfolio volatility.
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