Predictive Discovery (Australia) Technical Analysis
| PDI Stock | 0.98 0.03 3.16% |
As of the 1st of March, Predictive Discovery holds the Semi Deviation of 3.61, risk adjusted performance of 0.1689, and Coefficient Of Variation of 476.87. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Predictive Discovery, as well as the relationship between them.
Predictive Discovery Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Predictive, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PredictivePredictive |
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 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 Predictive Discovery.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in Predictive Discovery on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding Predictive Discovery or generate 0.0% return on investment in Predictive Discovery over 90 days. Predictive Discovery is related to or competes with Insignia Financial, National Australia, WT Financial, Westpac Banking, Sequoia Financial, and Sports Entertainment. Predictive Discovery is entity of Australia 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 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 Predictive Discovery upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.28 | |||
| Information Ratio | 0.1906 | |||
| Maximum Drawdown | 27.14 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 7.5 |
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 | 0.1689 | |||
| Jensen Alpha | 0.9493 | |||
| Total Risk Alpha | 0.4846 | |||
| Sortino Ratio | 0.209 | |||
| Treynor Ratio | 3.05 |
Predictive Discovery March 1, 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 | 0.1689 | |||
| Market Risk Adjusted Performance | 3.06 | |||
| Mean Deviation | 3.45 | |||
| Semi Deviation | 3.61 | |||
| Downside Deviation | 4.28 | |||
| Coefficient Of Variation | 476.87 | |||
| Standard Deviation | 4.7 | |||
| Variance | 22.06 | |||
| Information Ratio | 0.1906 | |||
| Jensen Alpha | 0.9493 | |||
| Total Risk Alpha | 0.4846 | |||
| Sortino Ratio | 0.209 | |||
| Treynor Ratio | 3.05 | |||
| Maximum Drawdown | 27.14 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 7.5 | |||
| Downside Variance | 18.34 | |||
| Semi Variance | 13.04 | |||
| Expected Short fall | (4.24) | |||
| Skewness | 0.6827 | |||
| Kurtosis | 2.14 |
Predictive Discovery Backtested Returns
Predictive Discovery appears to be extremely dangerous, given 3 months investment horizon. Predictive Discovery maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the firm had a 0.16 % return per unit of risk over the last 3 months. By analyzing Predictive Discovery's technical indicators, you can evaluate if the expected return of 0.75% is justified by implied risk. Please evaluate Predictive Discovery's Risk Adjusted Performance of 0.1689, semi deviation of 3.61, and Coefficient Of Variation of 476.87 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 12. The company holds a Beta of 0.32, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Predictive Discovery's returns are expected to increase less than the market. However, during the bear market, the loss of holding Predictive Discovery is expected to be smaller as well. Please check Predictive Discovery's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Predictive Discovery's historical price patterns will revert.
Auto-correlation | 0.70 |
Good predictability
Predictive Discovery has good predictability. Overlapping area represents the amount of predictability between Predictive Discovery time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 Predictive Discovery price movement. The serial correlation of 0.7 indicates that around 70.0% of current Predictive Discovery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.81 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Predictive Discovery 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.
Predictive Discovery Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Predictive Discovery across different markets.
About Predictive Discovery Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Predictive Discovery on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Predictive Discovery based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Predictive Discovery price pattern first instead of the macroeconomic environment surrounding Predictive Discovery. By analyzing Predictive Discovery's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Predictive Discovery's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Predictive Discovery specific price patterns or momentum indicators. Please read more on our technical analysis page.
Predictive Discovery March 1, 2026 Technical Indicators
Most technical analysis of Predictive help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Predictive from various momentum indicators to cycle indicators. When you analyze Predictive charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1689 | |||
| Market Risk Adjusted Performance | 3.06 | |||
| Mean Deviation | 3.45 | |||
| Semi Deviation | 3.61 | |||
| Downside Deviation | 4.28 | |||
| Coefficient Of Variation | 476.87 | |||
| Standard Deviation | 4.7 | |||
| Variance | 22.06 | |||
| Information Ratio | 0.1906 | |||
| Jensen Alpha | 0.9493 | |||
| Total Risk Alpha | 0.4846 | |||
| Sortino Ratio | 0.209 | |||
| Treynor Ratio | 3.05 | |||
| Maximum Drawdown | 27.14 | |||
| Value At Risk | (5.75) | |||
| Potential Upside | 7.5 | |||
| Downside Variance | 18.34 | |||
| Semi Variance | 13.04 | |||
| Expected Short fall | (4.24) | |||
| Skewness | 0.6827 | |||
| Kurtosis | 2.14 |
Predictive Discovery March 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Predictive stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.05 | ||
| Daily Balance Of Power | 0.60 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 0.99 | ||
| Day Typical Price | 0.98 | ||
| Price Action Indicator | 0.01 | ||
| Market Facilitation Index | 0.05 |
Additional Tools for Predictive Stock Analysis
When running Predictive Discovery's price analysis, check to measure Predictive Discovery's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Predictive Discovery is operating at the current time. Most of Predictive Discovery's value examination focuses on studying past and present price action to predict the probability of Predictive Discovery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Predictive Discovery's price. Additionally, you may evaluate how the addition of Predictive Discovery to your portfolios can decrease your overall portfolio volatility.