Ofal Stock Market Value
| OFAL Stock | 0.42 0.01 2.33% |
| Symbol | OFAL |
Is Research & Consulting Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of OFAL. Anticipated expansion of OFAL directly elevates investor willingness to pay premium valuations. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive OFAL assessment requires weighing all these inputs, though not all factors influence outcomes equally.
The market value of OFAL is measured differently than its book value, which is the value of OFAL that is recorded on the company's balance sheet. Investors also form their own opinion of OFAL's value that differs from its market value or its book value, called intrinsic value, which is OFAL's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because OFAL's market value can be influenced by many factors that don't directly affect OFAL's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between OFAL's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding OFAL should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, OFAL's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
OFAL '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 OFAL's 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 OFAL.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in OFAL on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding OFAL or generate 0.0% return on investment in OFAL over 90 days. OFAL is related to or competes with CCSC Technology, Hong Kong, Ping An, Li Bang, PS International, Aqua Metals, and Guardforce. OFAL is entity of United States. It is traded as Stock on NASDAQ exchange. More
OFAL 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 OFAL's 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 OFAL upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 29.67 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 10.0 |
OFAL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for OFAL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OFAL's standard deviation. In reality, there are many statistical measures that can use OFAL historical prices to predict the future OFAL's volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (1.16) | |||
| Total Risk Alpha | (1.74) | |||
| Treynor Ratio | (1.50) |
OFAL February 8, 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 | (0.13) | |||
| Market Risk Adjusted Performance | (1.49) | |||
| Mean Deviation | 4.96 | |||
| Coefficient Of Variation | (588.99) | |||
| Standard Deviation | 6.46 | |||
| Variance | 41.68 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (1.16) | |||
| Total Risk Alpha | (1.74) | |||
| Treynor Ratio | (1.50) | |||
| Maximum Drawdown | 29.67 | |||
| Value At Risk | (11.11) | |||
| Potential Upside | 10.0 | |||
| Skewness | (0.1) | |||
| Kurtosis | 0.3592 |
OFAL Backtested Returns
OFAL retains Efficiency (Sharpe Ratio) of -0.15, which implies the firm had a -0.15 % return per unit of risk over the last 3 months. OFAL exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check OFAL's coefficient of variation of (588.99), and Market Risk Adjusted Performance of (1.49) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.74, which implies possible diversification benefits within a given portfolio. As returns on the market increase, OFAL's returns are expected to increase less than the market. However, during the bear market, the loss of holding OFAL is expected to be smaller as well. At this point, OFAL has a negative expected return of -0.98%. Please make sure to check OFAL's jensen alpha and the relationship between the value at risk and day typical price , to decide if OFAL performance from the past will be repeated in the future.
Auto-correlation | -0.15 |
Insignificant reverse predictability
OFAL has insignificant reverse predictability. Overlapping area represents the amount of predictability between OFAL time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 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 OFAL price movement. The serial correlation of -0.15 indicates that less than 15.0% of current OFAL price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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OFAL technical 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, stock market cycles, or different charting patterns.