Algernon Pharmaceuticals Stock Market Value
| AGNPF Stock | USD 0.06 0.01 8.75% |
| Symbol | Algernon |
Algernon Pharmaceuticals '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 Algernon Pharmaceuticals' 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 Algernon Pharmaceuticals.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Algernon Pharmaceuticals on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Algernon Pharmaceuticals or generate 0.0% return on investment in Algernon Pharmaceuticals over 90 days. Algernon Pharmaceuticals is related to or competes with Cellectis, Covalon Technologies, Ascletis Pharma, GH Research, and Mosaic Immunoengineerin. Algernon Pharmaceuticals Inc. operates as a clinical stage pharmaceutical development company More
Algernon Pharmaceuticals 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 Algernon Pharmaceuticals' 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 Algernon Pharmaceuticals upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 10.5 | |||
| Information Ratio | 0.0809 | |||
| Maximum Drawdown | 37.47 | |||
| Value At Risk | (14.68) | |||
| Potential Upside | 15.11 |
Algernon Pharmaceuticals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Algernon Pharmaceuticals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Algernon Pharmaceuticals' standard deviation. In reality, there are many statistical measures that can use Algernon Pharmaceuticals historical prices to predict the future Algernon Pharmaceuticals' volatility.| Risk Adjusted Performance | 0.0689 | |||
| Jensen Alpha | 0.2284 | |||
| Total Risk Alpha | 1.59 | |||
| Sortino Ratio | 0.0635 | |||
| Treynor Ratio | (0.18) |
Algernon Pharmaceuticals Backtested Returns
Algernon Pharmaceuticals appears to be out of control, given 3 months investment horizon. Algernon Pharmaceuticals secures Sharpe Ratio (or Efficiency) of 0.0718, which signifies that the company had a 0.0718 % return per unit of standard deviation over the last 3 months. By analyzing Algernon Pharmaceuticals' technical indicators, you can evaluate if the expected return of 0.58% is justified by implied risk. Please makes use of Algernon Pharmaceuticals' risk adjusted performance of 0.0689, and Mean Deviation of 5.69 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Algernon Pharmaceuticals holds a performance score of 5. The firm shows a Beta (market volatility) of -3.02, which signifies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Algernon Pharmaceuticals are expected to decrease by larger amounts. On the other hand, during market turmoil, Algernon Pharmaceuticals is expected to outperform it. Please check Algernon Pharmaceuticals' downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Algernon Pharmaceuticals' price patterns will revert.
Auto-correlation | -0.33 |
Poor reverse predictability
Algernon Pharmaceuticals has poor reverse predictability. Overlapping area represents the amount of predictability between Algernon Pharmaceuticals time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Algernon Pharmaceuticals price movement. The serial correlation of -0.33 indicates that nearly 33.0% of current Algernon Pharmaceuticals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.33 | |
| Spearman Rank Test | -0.17 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Algernon Pharmaceuticals lagged returns against current returns
Autocorrelation, which is Algernon Pharmaceuticals otc stock'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 Algernon Pharmaceuticals' otc stock expected returns. We can calculate the autocorrelation of Algernon Pharmaceuticals returns to help us make a trade decision. For example, suppose you find that Algernon Pharmaceuticals has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
Algernon Pharmaceuticals 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 Algernon Pharmaceuticals otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Algernon Pharmaceuticals otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Algernon Pharmaceuticals otc stock over time.
Current vs Lagged Prices |
| Timeline |
Algernon Pharmaceuticals Lagged Returns
When evaluating Algernon Pharmaceuticals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Algernon Pharmaceuticals otc stock have on its future price. Algernon Pharmaceuticals 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, Algernon Pharmaceuticals autocorrelation shows the relationship between Algernon Pharmaceuticals otc stock current value and its past values and can show if there is a momentum factor associated with investing in Algernon Pharmaceuticals.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Algernon OTC Stock
Algernon Pharmaceuticals financial ratios help investors to determine whether Algernon OTC Stock 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 Algernon with respect to the benefits of owning Algernon Pharmaceuticals security.