WHA Business (Thailand) Technical Analysis
| WHABT Stock | THB 5.80 0.05 0.85% |
As of the 4th of February, WHA Business owns the Mean Deviation of 0.5786, market risk adjusted performance of (1.20), and Information Ratio of (0.1). Compared to fundamental indicators, the technical analysis model lets you check helpful technical drivers of WHA Business Complex, as well as the relationship between them.
WHA Business Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as WHA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WHAWHA |
WHA Business '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 WHA Business' 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 WHA Business.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in WHA Business on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding WHA Business Complex or generate 0.0% return on investment in WHA Business over 90 days. WHA Business is related to or competes with Sri Panwa, MDX Public, S Prime, KTBST Mixed, Sub Sri, Eastern Star, and Country Group. WHA Business Complex Freehold and Leasehold Real Estate Investment Trust specializes in real estate investing More
WHA Business 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 WHA Business' 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 WHA Business Complex upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 0.8621 |
WHA Business Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WHA Business' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WHA Business' standard deviation. In reality, there are many statistical measures that can use WHA Business historical prices to predict the future WHA Business' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (1.21) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WHA Business' 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.
WHA Business February 4, 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 | (1.20) | |||
| Mean Deviation | 0.5786 | |||
| Coefficient Of Variation | (3,481) | |||
| Standard Deviation | 0.7936 | |||
| Variance | 0.6298 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (1.21) | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 0.8621 | |||
| Skewness | 0.0853 | |||
| Kurtosis | (0.20) |
WHA Business Complex Backtested Returns
WHA Business Complex retains Efficiency (Sharpe Ratio) of -0.0142, which attests that the company had a -0.0142 % return per unit of volatility over the last 3 months. WHA Business exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WHA Business' Information Ratio of (0.1), market risk adjusted performance of (1.20), and Mean Deviation of 0.5786 to validate the risk estimate we provide. The firm owns a Beta (Systematic Risk) of 0.0272, which attests to not very significant fluctuations relative to the market. As returns on the market increase, WHA Business' returns are expected to increase less than the market. However, during the bear market, the loss of holding WHA Business is expected to be smaller as well. At this point, WHA Business Complex has a negative expected return of -0.0114%. Please make sure to check out WHA Business' treynor ratio, as well as the relationship between the kurtosis and day typical price , to decide if WHA Business Complex performance from the past will be repeated in the future.
Auto-correlation | 0.36 |
Below average predictability
WHA Business Complex has below average predictability. Overlapping area represents the amount of predictability between WHA Business time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 WHA Business Complex price movement. The serial correlation of 0.36 indicates that just about 36.0% of current WHA Business price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
WHA Business 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.
WHA Business Complex 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 WHA Business Complex volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About WHA Business 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 WHA Business Complex 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 WHA Business Complex based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on WHA Business Complex price pattern first instead of the macroeconomic environment surrounding WHA Business Complex. By analyzing WHA Business'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 WHA Business'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 WHA Business specific price patterns or momentum indicators. Please read more on our technical analysis page.
WHA Business February 4, 2026 Technical Indicators
Most technical analysis of WHA 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 WHA from various momentum indicators to cycle indicators. When you analyze WHA 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 | (1.20) | |||
| Mean Deviation | 0.5786 | |||
| Coefficient Of Variation | (3,481) | |||
| Standard Deviation | 0.7936 | |||
| Variance | 0.6298 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.08) | |||
| Treynor Ratio | (1.21) | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 0.8621 | |||
| Skewness | 0.0853 | |||
| Kurtosis | (0.20) |
WHA Business February 4, 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 WHA 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 | (1.00) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 5.82 | ||
| Day Typical Price | 5.82 | ||
| Price Action Indicator | (0.05) | ||
| Market Facilitation Index | 0.05 |
Complementary Tools for WHA Stock analysis
When running WHA Business' price analysis, check to measure WHA Business' 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 WHA Business is operating at the current time. Most of WHA Business' value examination focuses on studying past and present price action to predict the probability of WHA Business' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WHA Business' price. Additionally, you may evaluate how the addition of WHA Business to your portfolios can decrease your overall portfolio volatility.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |