NetSol Technologies (Pakistan) Market Value
| NETSOL Stock | 127.85 1.03 0.80% |
| Symbol | NetSol |
NetSol Technologies '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 NetSol Technologies' 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 NetSol Technologies.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in NetSol Technologies on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding NetSol Technologies or generate 0.0% return on investment in NetSol Technologies over 90 days. NetSol Technologies is related to or competes with Unity Foods, Wah Nobel, ORIX Leasing, Matco Foods, and Synthetic Products. More
NetSol Technologies 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 NetSol Technologies' 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 NetSol Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 7.54 | |||
| Value At Risk | (2.31) | |||
| Potential Upside | 2.15 |
NetSol Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for NetSol Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as NetSol Technologies' standard deviation. In reality, there are many statistical measures that can use NetSol Technologies historical prices to predict the future NetSol Technologies' volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (4.56) |
NetSol Technologies January 27, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | (0.08) | |||
| Market Risk Adjusted Performance | (4.55) | |||
| Mean Deviation | 1.06 | |||
| Coefficient Of Variation | (898.07) | |||
| Standard Deviation | 1.46 | |||
| Variance | 2.12 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (4.56) | |||
| Maximum Drawdown | 7.54 | |||
| Value At Risk | (2.31) | |||
| Potential Upside | 2.15 | |||
| Skewness | (0.52) | |||
| Kurtosis | 1.88 |
NetSol Technologies Backtested Returns
NetSol Technologies has Sharpe Ratio of -0.0719, which conveys that the firm had a -0.0719 % return per unit of risk over the last 3 months. NetSol Technologies exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify NetSol Technologies' Standard Deviation of 1.46, mean deviation of 1.06, and Risk Adjusted Performance of (0.08) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.0378, which conveys not very significant fluctuations relative to the market. As returns on the market increase, NetSol Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding NetSol Technologies is expected to be smaller as well. At this point, NetSol Technologies has a negative expected return of -0.11%. Please make sure to verify NetSol Technologies' maximum drawdown, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if NetSol Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.26 |
Poor predictability
NetSol Technologies has poor predictability. Overlapping area represents the amount of predictability between NetSol Technologies 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 NetSol Technologies price movement. The serial correlation of 0.26 indicates that nearly 26.0% of current NetSol Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.26 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 6.14 |
Pair Trading with NetSol Technologies
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if NetSol Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in NetSol Technologies will appreciate offsetting losses from the drop in the long position's value.Moving against NetSol Stock
The ability to find closely correlated positions to NetSol Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace NetSol Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back NetSol Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling NetSol Technologies to buy it.
The correlation of NetSol Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as NetSol Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if NetSol Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for NetSol Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Information and Resources on Investing in NetSol Stock
When determining whether NetSol Technologies is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if NetSol Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Netsol Technologies Stock. Highlighted below are key reports to facilitate an investment decision about Netsol Technologies Stock:Check out NetSol Technologies Correlation, NetSol Technologies Volatility and NetSol Technologies Alpha and Beta module to complement your research on NetSol Technologies. For information on how to trade NetSol Stock refer to our How to Trade NetSol Stock guide.You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
NetSol Technologies 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.