Loads (Pakistan) Technical Analysis
| LOADS Stock | 17.31 0.16 0.93% |
As of the 6th of February, Loads secures the Mean Deviation of 1.24, risk adjusted performance of (0.02), and Standard Deviation of 1.75. 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 '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 Loads' 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 Loads.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Loads on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Loads or generate 0.0% return on investment in Loads over 90 days. Loads is related to or competes with Premier Insurance, Security Investment, and Wah Nobel. More
Loads 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 Loads' 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 Loads upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 9.03 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 3.1 |
Loads Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Loads' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Loads' standard deviation. In reality, there are many statistical measures that can use Loads historical prices to predict the future Loads' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 8.56 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Loads' 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.
Loads February 6, 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 | (0.02) | |||
| Market Risk Adjusted Performance | 8.57 | |||
| Mean Deviation | 1.24 | |||
| Coefficient Of Variation | (3,227) | |||
| Standard Deviation | 1.75 | |||
| Variance | 3.06 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 8.56 | |||
| Maximum Drawdown | 9.03 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 3.1 | |||
| Skewness | 0.1838 | |||
| Kurtosis | 1.4 |
Loads Backtested Returns
Loads has Sharpe Ratio of -0.031, which conveys that the firm had a -0.031 % return per unit of risk over the last 3 months. Loads exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Loads' Mean Deviation of 1.24, risk adjusted performance of (0.02), and Standard Deviation of 1.75 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.0075, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Loads are expected to decrease at a much lower rate. During the bear market, Loads is likely to outperform the market. At this point, Loads has a negative expected return of -0.0548%. Please make sure to verify Loads' total risk alpha, as well as the relationship between the skewness and day median price , to decide if Loads performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.34 |
Poor reverse predictability
Loads has poor reverse predictability. Overlapping area represents the amount of predictability between Loads time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 Loads price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Loads price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.48 |
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 fifty with a total number of output elements of eleven. 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.
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 February 6, 2026 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 | (0.02) | |||
| Market Risk Adjusted Performance | 8.57 | |||
| Mean Deviation | 1.24 | |||
| Coefficient Of Variation | (3,227) | |||
| Standard Deviation | 1.75 | |||
| Variance | 3.06 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 8.56 | |||
| Maximum Drawdown | 9.03 | |||
| Value At Risk | (2.87) | |||
| Potential Upside | 3.1 | |||
| Skewness | 0.1838 | |||
| Kurtosis | 1.4 |
Loads February 6, 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 Loads 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 | 0.01 | ||
| Daily Balance Of Power | 0.70 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 17.38 | ||
| Day Typical Price | 17.35 | ||
| Price Action Indicator | 0.01 | ||
| Market Facilitation Index | 0.23 |
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.