Loads (Pakistan) Technical Analysis
| LOADS Stock | 18.92 1.72 10.00% |
As of the 31st of January, Loads secures the Downside Deviation of 4.05, mean deviation of 3.33, and Risk Adjusted Performance of 0.2186. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Loads, as well as the relationship between them.
Loads Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Loads, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to LoadsLoads |
Loads 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.
Loads 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 Loads volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Loads Trend Analysis
Use this graph to draw trend lines for Loads. You can use it to identify possible trend reversals for Loads as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Loads price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Loads Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Loads applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Loads will continue generating value for investors. It has 122 observation points and a regression sum of squares at 229.88, which is the sum of squared deviations for the predicted Loads price change compared to its average price change.About Loads 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 Loads 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 Loads based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Loads price pattern first instead of the macroeconomic environment surrounding Loads. By analyzing Loads'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 Loads'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 Loads specific price patterns or momentum indicators. Please read more on our technical analysis page.
Loads January 31, 2025 Technical Indicators
Most technical analysis of Loads 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 Loads from various momentum indicators to cycle indicators. When you analyze Loads 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 | 0.2186 | |||
| Market Risk Adjusted Performance | (15.45) | |||
| Mean Deviation | 3.33 | |||
| Semi Deviation | 3.2 | |||
| Downside Deviation | 4.05 | |||
| Coefficient Of Variation | 396.61 | |||
| Standard Deviation | 4.25 | |||
| Variance | 18.08 | |||
| Information Ratio | 0.2286 | |||
| Jensen Alpha | 1.07 | |||
| Total Risk Alpha | 0.6043 | |||
| Sortino Ratio | 0.24 | |||
| Treynor Ratio | (15.46) | |||
| Maximum Drawdown | 19.54 | |||
| Value At Risk | (5.34) | |||
| Potential Upside | 9.99 | |||
| Downside Variance | 16.4 | |||
| Semi Variance | 10.25 | |||
| Expected Short fall | (3.71) | |||
| Skewness | 0.0558 | |||
| Kurtosis | 0.0402 |
Other Information on Investing in Loads Stock
Loads financial ratios help investors to determine whether Loads 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 Loads with respect to the benefits of owning Loads security.