Predictive Discovery Limited Stock Market Value
| PDIYF Stock | 0.20 0.02 9.09% |
| Symbol | Predictive |
Predictive Discovery '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 Predictive Discovery'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 Predictive Discovery.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Predictive Discovery on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Predictive Discovery Limited or generate 0.0% return on investment in Predictive Discovery over 90 days. Predictive Discovery is related to or competes with Asante Gold, Angus Gold, Rio2, Radisson Mining, Orezone Gold, Rupert Resources, and Gold Fields. More
Predictive Discovery 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 Predictive Discovery'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 Predictive Discovery Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.0 | |||
| Information Ratio | 0.0834 | |||
| Maximum Drawdown | 52.84 | |||
| Value At Risk | (5.88) | |||
| Potential Upside | 6.25 |
Predictive Discovery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Predictive Discovery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Predictive Discovery's standard deviation. In reality, there are many statistical measures that can use Predictive Discovery historical prices to predict the future Predictive Discovery's volatility.| Risk Adjusted Performance | 0.0679 | |||
| Jensen Alpha | 0.5828 | |||
| Total Risk Alpha | 1.24 | |||
| Sortino Ratio | 0.0672 | |||
| Treynor Ratio | 0.3031 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Predictive Discovery's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Predictive Discovery Backtested Returns
Predictive Discovery appears to be out of control, given 3 months investment horizon. Predictive Discovery maintains Sharpe Ratio (i.e., Efficiency) of 0.068, which implies the firm had a 0.068 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Predictive Discovery, which you can use to evaluate the volatility of the company. Please evaluate Predictive Discovery's Risk Adjusted Performance of 0.0679, coefficient of variation of 1470.47, and Semi Deviation of 2.58 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Predictive Discovery holds a performance score of 5. The company holds a Beta of 1.41, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Predictive Discovery will likely underperform. Please check Predictive Discovery's total risk alpha and the relationship between the potential upside and price action indicator , to make a quick decision on whether Predictive Discovery's historical price patterns will revert.
Auto-correlation | -0.4 |
Poor reverse predictability
Predictive Discovery Limited has poor reverse predictability. Overlapping area represents the amount of predictability between Predictive Discovery time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Predictive Discovery price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Predictive Discovery price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Predictive Discovery lagged returns against current returns
Autocorrelation, which is Predictive Discovery pink sheet'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 Predictive Discovery's pink sheet expected returns. We can calculate the autocorrelation of Predictive Discovery returns to help us make a trade decision. For example, suppose you find that Predictive Discovery has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Predictive Discovery 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 Predictive Discovery pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Predictive Discovery pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Predictive Discovery pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Predictive Discovery Lagged Returns
When evaluating Predictive Discovery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Predictive Discovery pink sheet have on its future price. Predictive Discovery 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, Predictive Discovery autocorrelation shows the relationship between Predictive Discovery pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Predictive Discovery Limited.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Predictive Pink Sheet
Predictive Discovery financial ratios help investors to determine whether Predictive 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 Predictive with respect to the benefits of owning Predictive Discovery security.