Psrhf Stock Market Value
| PSRHF Stock | 1.41 0.07 5.22% |
| Symbol | PSRHF |
PSRHF '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 PSRHF's pink sheet 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 PSRHF.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in PSRHF on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding PSRHF or generate 0.0% return on investment in PSRHF over 90 days.
PSRHF 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 PSRHF's pink sheet 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 PSRHF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.01 | |||
| Information Ratio | 0.1924 | |||
| Maximum Drawdown | 68.15 | |||
| Value At Risk | (6.90) | |||
| Potential Upside | 14.16 |
PSRHF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PSRHF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PSRHF's standard deviation. In reality, there are many statistical measures that can use PSRHF historical prices to predict the future PSRHF's volatility.| Risk Adjusted Performance | 0.1704 | |||
| Jensen Alpha | 1.96 | |||
| Total Risk Alpha | 1.17 | |||
| Sortino Ratio | 0.3621 | |||
| Treynor Ratio | (1.30) |
PSRHF February 16, 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 | 0.1704 | |||
| Market Risk Adjusted Performance | (1.29) | |||
| Mean Deviation | 5.73 | |||
| Semi Deviation | 3.95 | |||
| Downside Deviation | 5.01 | |||
| Coefficient Of Variation | 500.47 | |||
| Standard Deviation | 9.44 | |||
| Variance | 89.04 | |||
| Information Ratio | 0.1924 | |||
| Jensen Alpha | 1.96 | |||
| Total Risk Alpha | 1.17 | |||
| Sortino Ratio | 0.3621 | |||
| Treynor Ratio | (1.30) | |||
| Maximum Drawdown | 68.15 | |||
| Value At Risk | (6.90) | |||
| Potential Upside | 14.16 | |||
| Downside Variance | 25.14 | |||
| Semi Variance | 15.6 | |||
| Expected Short fall | (8.34) | |||
| Skewness | 3.72 | |||
| Kurtosis | 21.32 |
PSRHF Backtested Returns
PSRHF is out of control given 3 months investment horizon. PSRHF maintains Sharpe Ratio (i.e., Efficiency) of 0.21, which implies the firm had a 0.21 % return per unit of standard deviation over the last 3 months. We have analyze and collected data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 2.03% are justified by taking the suggested risk. Use PSRHF Market Risk Adjusted Performance of (1.29), semi deviation of 3.95, and Risk Adjusted Performance of 0.1704 to evaluate company specific risk that cannot be diversified away. PSRHF holds a performance score of 16 on a scale of zero to a hundred. The company holds a Beta of -1.44, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning PSRHF are expected to decrease by larger amounts. On the other hand, during market turmoil, PSRHF is expected to outperform it. Use PSRHF expected short fall, and the relationship between the value at risk and daily balance of power , to analyze future returns on PSRHF.
Auto-correlation | 0.66 |
Good predictability
PSRHF has good predictability. Overlapping area represents the amount of predictability between PSRHF time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th 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 PSRHF price movement. The serial correlation of 0.66 indicates that around 66.0% of current PSRHF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |