Polynet PCL (Thailand) Technical Analysis
| POLY Stock | 7.80 0.15 1.96% |
Polynet PCL Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Polynet, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PolynetPolynet |
Polynet PCL '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 Polynet PCL'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 Polynet PCL.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in Polynet PCL on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Polynet PCL or generate 0.0% return on investment in Polynet PCL over 90 days.
Polynet PCL 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 Polynet PCL'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 Polynet PCL upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.98 | |||
| Information Ratio | 0.055 | |||
| Maximum Drawdown | 7.12 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 2.9 |
Polynet PCL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Polynet PCL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Polynet PCL's standard deviation. In reality, there are many statistical measures that can use Polynet PCL historical prices to predict the future Polynet PCL's volatility.| Risk Adjusted Performance | 0.0877 | |||
| Jensen Alpha | 0.1554 | |||
| Total Risk Alpha | 0.0133 | |||
| Sortino Ratio | 0.0424 | |||
| Treynor Ratio | (16.64) |
Polynet PCL March 3, 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 | 0.0877 | |||
| Market Risk Adjusted Performance | (16.63) | |||
| Mean Deviation | 1.08 | |||
| Semi Deviation | 1.26 | |||
| Downside Deviation | 1.98 | |||
| Coefficient Of Variation | 924.6 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.32 | |||
| Information Ratio | 0.055 | |||
| Jensen Alpha | 0.1554 | |||
| Total Risk Alpha | 0.0133 | |||
| Sortino Ratio | 0.0424 | |||
| Treynor Ratio | (16.64) | |||
| Maximum Drawdown | 7.12 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 2.9 | |||
| Downside Variance | 3.9 | |||
| Semi Variance | 1.58 | |||
| Expected Short fall | (1.49) | |||
| Skewness | (0.11) | |||
| Kurtosis | 0.9075 |
Polynet PCL Backtested Returns
Polynet PCL appears to be somewhat reliable, given 3 months investment horizon. Polynet PCL maintains Sharpe Ratio (i.e., Efficiency) of 0.15, which implies the firm had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Polynet PCL, which you can use to evaluate the volatility of the company. Please evaluate Polynet PCL's Coefficient Of Variation of 924.6, risk adjusted performance of 0.0877, and Semi Deviation of 1.26 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Polynet PCL holds a performance score of 12. The company holds a Beta of -0.0093, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Polynet PCL are expected to decrease at a much lower rate. During the bear market, Polynet PCL is likely to outperform the market. Please check Polynet PCL's sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to make a quick decision on whether Polynet PCL's historical price patterns will revert.
Auto-correlation | -0.07 |
Very weak reverse predictability
Polynet PCL has very weak reverse predictability. Overlapping area represents the amount of predictability between Polynet PCL time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd 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 Polynet PCL price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Polynet PCL price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Polynet PCL 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.
Polynet PCL 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 Polynet PCL across different markets.
Polynet PCL March 3, 2026 Technical Indicators
Most technical analysis of Polynet 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 Polynet from various momentum indicators to cycle indicators. When you analyze Polynet 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 | 0.0877 | |||
| Market Risk Adjusted Performance | (16.63) | |||
| Mean Deviation | 1.08 | |||
| Semi Deviation | 1.26 | |||
| Downside Deviation | 1.98 | |||
| Coefficient Of Variation | 924.6 | |||
| Standard Deviation | 1.52 | |||
| Variance | 2.32 | |||
| Information Ratio | 0.055 | |||
| Jensen Alpha | 0.1554 | |||
| Total Risk Alpha | 0.0133 | |||
| Sortino Ratio | 0.0424 | |||
| Treynor Ratio | (16.64) | |||
| Maximum Drawdown | 7.12 | |||
| Value At Risk | (2.82) | |||
| Potential Upside | 2.9 | |||
| Downside Variance | 3.9 | |||
| Semi Variance | 1.58 | |||
| Expected Short fall | (1.49) | |||
| Skewness | (0.11) | |||
| Kurtosis | 0.9075 |
Polynet PCL March 3, 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 Polynet 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 | 1,467 | ||
| Daily Balance Of Power | 0.27 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 7.53 | ||
| Day Typical Price | 7.62 | ||
| Price Action Indicator | 0.35 |