Proteome Sciences Plc Stock Market Value
| PMSNF Stock | USD 0.04 0.00 0.00% |
| Symbol | Proteome |
Proteome Sciences '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 Proteome Sciences' 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 Proteome Sciences.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Proteome Sciences on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Proteome Sciences plc or generate 0.0% return on investment in Proteome Sciences over 90 days. Proteome Sciences plc provides contract research services for the identification, validation, and application of protein... More
Proteome Sciences 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 Proteome Sciences' 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 Proteome Sciences plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0913 | |||
| Maximum Drawdown | 300.0 |
Proteome Sciences Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Proteome Sciences' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Proteome Sciences' standard deviation. In reality, there are many statistical measures that can use Proteome Sciences historical prices to predict the future Proteome Sciences' volatility.| Risk Adjusted Performance | 0.085 | |||
| Jensen Alpha | 3.52 | |||
| Total Risk Alpha | 0.7063 | |||
| Treynor Ratio | 93.76 |
Proteome Sciences February 15, 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 | 0.085 | |||
| Market Risk Adjusted Performance | 93.77 | |||
| Mean Deviation | 8.98 | |||
| Coefficient Of Variation | 1073.48 | |||
| Standard Deviation | 37.95 | |||
| Variance | 1440.3 | |||
| Information Ratio | 0.0913 | |||
| Jensen Alpha | 3.52 | |||
| Total Risk Alpha | 0.7063 | |||
| Treynor Ratio | 93.76 | |||
| Maximum Drawdown | 300.0 | |||
| Skewness | 7.46 | |||
| Kurtosis | 59.88 |
Proteome Sciences plc Backtested Returns
Proteome Sciences is out of control given 3 months investment horizon. Proteome Sciences plc maintains Sharpe Ratio (i.e., Efficiency) of 0.0961, which implies the firm had a 0.0961 % return per unit of risk over the last 3 months. We were able to interpolate sixteen different technical indicators, which can help you to evaluate if expected returns of 3.76% are justified by taking the suggested risk. Use Proteome Sciences Coefficient Of Variation of 1073.48, variance of 1440.3, and Risk Adjusted Performance of 0.085 to evaluate company specific risk that cannot be diversified away. Proteome Sciences holds a performance score of 7 on a scale of zero to a hundred. The company holds a Beta of 0.0376, which implies not very significant fluctuations relative to the market. As returns on the market increase, Proteome Sciences' returns are expected to increase less than the market. However, during the bear market, the loss of holding Proteome Sciences is expected to be smaller as well. Use Proteome Sciences treynor ratio and rate of daily change , to analyze future returns on Proteome Sciences.
Auto-correlation | 0.00 |
No correlation between past and present
Proteome Sciences plc has no correlation between past and present. Overlapping area represents the amount of predictability between Proteome Sciences time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 Proteome Sciences plc price movement. The serial correlation of 0.0 indicates that just 0.0% of current Proteome Sciences price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.88 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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Other Information on Investing in Proteome Pink Sheet
Proteome Sciences financial ratios help investors to determine whether Proteome Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Proteome with respect to the benefits of owning Proteome Sciences security.