Packages (Pakistan) Technical Analysis
| PKGS Stock | 826.71 14.93 1.77% |
As of the 27th of January, Packages holds the Coefficient Of Variation of 648.82, risk adjusted performance of 0.1182, and Semi Deviation of 0.9811. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Packages, as well as the relationship between them.
Packages Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Packages, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PackagesPackages |
Packages '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 Packages' 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 Packages.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Packages on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Packages or generate 0.0% return on investment in Packages over 90 days. Packages is related to or competes with Reliance Insurance, Jubilee Life, Century Insurance, and Unity Foods. More
Packages 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 Packages' 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 Packages upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.27 | |||
| Information Ratio | 0.1002 | |||
| Maximum Drawdown | 7.71 | |||
| Value At Risk | (2.00) | |||
| Potential Upside | 3.18 |
Packages Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Packages' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Packages' standard deviation. In reality, there are many statistical measures that can use Packages historical prices to predict the future Packages' volatility.| Risk Adjusted Performance | 0.1182 | |||
| Jensen Alpha | 0.2107 | |||
| Total Risk Alpha | 0.0762 | |||
| Sortino Ratio | 0.1179 | |||
| Treynor Ratio | 1.5 |
Packages January 27, 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 | 0.1182 | |||
| Market Risk Adjusted Performance | 1.51 | |||
| Mean Deviation | 1.03 | |||
| Semi Deviation | 0.9811 | |||
| Downside Deviation | 1.27 | |||
| Coefficient Of Variation | 648.82 | |||
| Standard Deviation | 1.5 | |||
| Variance | 2.25 | |||
| Information Ratio | 0.1002 | |||
| Jensen Alpha | 0.2107 | |||
| Total Risk Alpha | 0.0762 | |||
| Sortino Ratio | 0.1179 | |||
| Treynor Ratio | 1.5 | |||
| Maximum Drawdown | 7.71 | |||
| Value At Risk | (2.00) | |||
| Potential Upside | 3.18 | |||
| Downside Variance | 1.62 | |||
| Semi Variance | 0.9626 | |||
| Expected Short fall | (1.21) | |||
| Skewness | 0.8138 | |||
| Kurtosis | 2.73 |
Packages Backtested Returns
Packages appears to be very steady, given 3 months investment horizon. Packages maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the firm had a 0.18 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Packages, which you can use to evaluate the volatility of the company. Please evaluate Packages' Coefficient Of Variation of 648.82, semi deviation of 0.9811, and Risk Adjusted Performance of 0.1182 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Packages holds a performance score of 14. The company holds a Beta of 0.15, which implies not very significant fluctuations relative to the market. As returns on the market increase, Packages' returns are expected to increase less than the market. However, during the bear market, the loss of holding Packages is expected to be smaller as well. Please check Packages' semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to make a quick decision on whether Packages' historical price patterns will revert.
Auto-correlation | 0.66 |
Good predictability
Packages has good predictability. Overlapping area represents the amount of predictability between Packages time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th of January 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 Packages price movement. The serial correlation of 0.66 indicates that around 66.0% of current Packages price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 1617.42 |
Packages 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.
Packages Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Packages volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Packages 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 Packages 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 Packages based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Packages price pattern first instead of the macroeconomic environment surrounding Packages. By analyzing Packages'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 Packages'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 Packages specific price patterns or momentum indicators. Please read more on our technical analysis page.
Packages January 27, 2026 Technical Indicators
Most technical analysis of Packages 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 Packages from various momentum indicators to cycle indicators. When you analyze Packages 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 | 0.1182 | |||
| Market Risk Adjusted Performance | 1.51 | |||
| Mean Deviation | 1.03 | |||
| Semi Deviation | 0.9811 | |||
| Downside Deviation | 1.27 | |||
| Coefficient Of Variation | 648.82 | |||
| Standard Deviation | 1.5 | |||
| Variance | 2.25 | |||
| Information Ratio | 0.1002 | |||
| Jensen Alpha | 0.2107 | |||
| Total Risk Alpha | 0.0762 | |||
| Sortino Ratio | 0.1179 | |||
| Treynor Ratio | 1.5 | |||
| Maximum Drawdown | 7.71 | |||
| Value At Risk | (2.00) | |||
| Potential Upside | 3.18 | |||
| Downside Variance | 1.62 | |||
| Semi Variance | 0.9626 | |||
| Expected Short fall | (1.21) | |||
| Skewness | 0.8138 | |||
| Kurtosis | 2.73 |
Packages January 27, 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 Packages 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 | 1,007 | ||
| Daily Balance Of Power | (0.42) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 833.05 | ||
| Day Typical Price | 830.93 | ||
| Price Action Indicator | (13.80) | ||
| Market Facilitation Index | 0 |
Complementary Tools for Packages Stock analysis
When running Packages' price analysis, check to measure Packages' 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 Packages is operating at the current time. Most of Packages' value examination focuses on studying past and present price action to predict the probability of Packages' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Packages' price. Additionally, you may evaluate how the addition of Packages to your portfolios can decrease your overall portfolio volatility.
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