S Pack (Thailand) Technical Analysis
| SPACK Stock | THB 1.23 0.06 4.65% |
As of the 1st of March, S Pack has the Market Risk Adjusted Performance of 0.052, downside deviation of 3.34, and Risk Adjusted Performance of 0.0213. In connection with fundamental indicators, the technical analysis model makes it possible for you to check potential technical drivers of S Pack Print, as well as the relationship between them.
S Pack Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SPACK, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SPACKSPACK |
S Pack '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 S Pack'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 S Pack.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in S Pack on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding S Pack Print or generate 0.0% return on investment in S Pack over 90 days. S Pack is related to or competes with Thai Packaging, NEP Realty, Pan Asia, Chic Republic, Autocorp Holding, Ingress Industrial, and Thai Plastic. Pack Print Public Company Limited, together with its subsidiaries, manufactures and sells corrugated and duplex board pa... More
S Pack 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 S Pack'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 S Pack Print upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.34 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 16.01 | |||
| Value At Risk | (4.31) | |||
| Potential Upside | 4.35 |
S Pack Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for S Pack's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as S Pack's standard deviation. In reality, there are many statistical measures that can use S Pack historical prices to predict the future S Pack's volatility.| Risk Adjusted Performance | 0.0213 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.042 |
S Pack March 1, 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 | 0.0213 | |||
| Market Risk Adjusted Performance | 0.052 | |||
| Mean Deviation | 1.75 | |||
| Semi Deviation | 2.58 | |||
| Downside Deviation | 3.34 | |||
| Coefficient Of Variation | 5439.7 | |||
| Standard Deviation | 2.8 | |||
| Variance | 7.86 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.042 | |||
| Maximum Drawdown | 16.01 | |||
| Value At Risk | (4.31) | |||
| Potential Upside | 4.35 | |||
| Downside Variance | 11.17 | |||
| Semi Variance | 6.65 | |||
| Expected Short fall | (2.37) | |||
| Skewness | (0.52) | |||
| Kurtosis | 5.54 |
S Pack Print Backtested Returns
At this point, S Pack is dangerous. S Pack Print owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0236, which indicates the company had a 0.0236 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for S Pack Print, which you can use to evaluate the volatility of the entity. Please validate S Pack's Downside Deviation of 3.34, market risk adjusted performance of 0.052, and Risk Adjusted Performance of 0.0213 to confirm if the risk estimate we provide is consistent with the expected return of 0.064%. S Pack has a performance score of 1 on a scale of 0 to 100. The firm has a beta of 0.99, which indicates possible diversification benefits within a given portfolio. S Pack returns are very sensitive to returns on the market. As the market goes up or down, S Pack is expected to follow. S Pack Print at this moment has a risk of 2.71%. Please validate S Pack maximum drawdown, accumulation distribution, relative strength index, as well as the relationship between the semi variance and day typical price , to decide if S Pack will be following its existing price patterns.
Auto-correlation | -0.29 |
Weak reverse predictability
S Pack Print has weak reverse predictability. Overlapping area represents the amount of predictability between S Pack time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 S Pack Print price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current S Pack price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
S Pack 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.
S Pack Print Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for S Pack Print across different markets.
About S Pack 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 S Pack Print 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 S Pack Print based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on S Pack Print price pattern first instead of the macroeconomic environment surrounding S Pack Print. By analyzing S Pack'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 S Pack'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 S Pack specific price patterns or momentum indicators. Please read more on our technical analysis page.
S Pack March 1, 2026 Technical Indicators
Most technical analysis of SPACK 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 SPACK from various momentum indicators to cycle indicators. When you analyze SPACK 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 | 0.0213 | |||
| Market Risk Adjusted Performance | 0.052 | |||
| Mean Deviation | 1.75 | |||
| Semi Deviation | 2.58 | |||
| Downside Deviation | 3.34 | |||
| Coefficient Of Variation | 5439.7 | |||
| Standard Deviation | 2.8 | |||
| Variance | 7.86 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.25) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.042 | |||
| Maximum Drawdown | 16.01 | |||
| Value At Risk | (4.31) | |||
| Potential Upside | 4.35 | |||
| Downside Variance | 11.17 | |||
| Semi Variance | 6.65 | |||
| Expected Short fall | (2.37) | |||
| Skewness | (0.52) | |||
| Kurtosis | 5.54 |
S Pack March 1, 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 SPACK 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 | 0.02 | ||
| Daily Balance Of Power | (3.00) | ||
| Rate Of Daily Change | 0.95 | ||
| Day Median Price | 1.24 | ||
| Day Typical Price | 1.24 | ||
| Price Action Indicator | (0.04) | ||
| Market Facilitation Index | 0.02 |
Complementary Tools for SPACK Stock analysis
When running S Pack's price analysis, check to measure S Pack'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 S Pack is operating at the current time. Most of S Pack's value examination focuses on studying past and present price action to predict the probability of S Pack's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move S Pack's price. Additionally, you may evaluate how the addition of S Pack to your portfolios can decrease your overall portfolio volatility.
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