Dipula Income (South Africa) Technical Analysis
| DIB Stock | 690.00 4.00 0.58% |
As of the 17th of February 2026, Dipula Income shows the Coefficient Of Variation of 1791.98, mean deviation of 1.38, and Downside Deviation of 2.12. Dipula Income technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Dipula Income value at risk, expected short fall, and the relationship between the treynor ratio and downside variance to decide if Dipula Income is priced favorably, providing market reflects its regular price of 690.0 per share.
Dipula Income Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dipula, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DipulaDipula |
Dipula Income '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 Dipula Income'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 Dipula Income.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Dipula Income on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Dipula Income or generate 0.0% return on investment in Dipula Income over 90 days. Dipula Income is related to or competes with Octodec, and Oasis Crescent. More
Dipula Income 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 Dipula Income'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 Dipula Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.12 | |||
| Information Ratio | 0.018 | |||
| Maximum Drawdown | 8.34 | |||
| Value At Risk | (3.61) | |||
| Potential Upside | 3.07 |
Dipula Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dipula Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dipula Income's standard deviation. In reality, there are many statistical measures that can use Dipula Income historical prices to predict the future Dipula Income's volatility.| Risk Adjusted Performance | 0.0507 | |||
| Jensen Alpha | 0.0821 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0158 | |||
| Treynor Ratio | 0.4977 |
Dipula Income February 17, 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 | 0.0507 | |||
| Market Risk Adjusted Performance | 0.5077 | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.79 | |||
| Downside Deviation | 2.12 | |||
| Coefficient Of Variation | 1791.98 | |||
| Standard Deviation | 1.85 | |||
| Variance | 3.43 | |||
| Information Ratio | 0.018 | |||
| Jensen Alpha | 0.0821 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0158 | |||
| Treynor Ratio | 0.4977 | |||
| Maximum Drawdown | 8.34 | |||
| Value At Risk | (3.61) | |||
| Potential Upside | 3.07 | |||
| Downside Variance | 4.48 | |||
| Semi Variance | 3.19 | |||
| Expected Short fall | (1.57) | |||
| Skewness | (0.34) | |||
| Kurtosis | 0.5537 |
Dipula Income Backtested Returns
At this point, Dipula Income is very steady. Dipula Income secures Sharpe Ratio (or Efficiency) of 0.0234, which denotes the company had a 0.0234 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Dipula Income, which you can use to evaluate the volatility of the firm. Please confirm Dipula Income's Downside Deviation of 2.12, coefficient of variation of 1791.98, and Mean Deviation of 1.38 to check if the risk estimate we provide is consistent with the expected return of 0.044%. Dipula Income has a performance score of 1 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.19, which means not very significant fluctuations relative to the market. As returns on the market increase, Dipula Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dipula Income is expected to be smaller as well. Dipula Income right now shows a risk of 1.88%. Please confirm Dipula Income value at risk, expected short fall, and the relationship between the treynor ratio and downside variance , to decide if Dipula Income will be following its price patterns.
Auto-correlation | 0.07 |
Virtually no predictability
Dipula Income has virtually no predictability. Overlapping area represents the amount of predictability between Dipula Income time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Dipula Income price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Dipula Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 321.62 |
Dipula Income 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.
Dipula Income Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Dipula Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Dipula Income 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 Dipula Income 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 Dipula Income based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Dipula Income price pattern first instead of the macroeconomic environment surrounding Dipula Income. By analyzing Dipula Income'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 Dipula Income'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 Dipula Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dipula Income February 17, 2026 Technical Indicators
Most technical analysis of Dipula 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 Dipula from various momentum indicators to cycle indicators. When you analyze Dipula 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 | 0.0507 | |||
| Market Risk Adjusted Performance | 0.5077 | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.79 | |||
| Downside Deviation | 2.12 | |||
| Coefficient Of Variation | 1791.98 | |||
| Standard Deviation | 1.85 | |||
| Variance | 3.43 | |||
| Information Ratio | 0.018 | |||
| Jensen Alpha | 0.0821 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0158 | |||
| Treynor Ratio | 0.4977 | |||
| Maximum Drawdown | 8.34 | |||
| Value At Risk | (3.61) | |||
| Potential Upside | 3.07 | |||
| Downside Variance | 4.48 | |||
| Semi Variance | 3.19 | |||
| Expected Short fall | (1.57) | |||
| Skewness | (0.34) | |||
| Kurtosis | 0.5537 |
Dipula Income February 17, 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 Dipula 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 | 20,478 | ||
| Daily Balance Of Power | 0.12 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 702.00 | ||
| Day Typical Price | 698.00 | ||
| Price Action Indicator | (10.00) |
Complementary Tools for Dipula Stock analysis
When running Dipula Income's price analysis, check to measure Dipula Income'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 Dipula Income is operating at the current time. Most of Dipula Income's value examination focuses on studying past and present price action to predict the probability of Dipula Income's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dipula Income's price. Additionally, you may evaluate how the addition of Dipula Income to your portfolios can decrease your overall portfolio volatility.
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