Pao Group Stock Technical Analysis
| PAOG Stock | USD 0.0006 0.0001 14.29% |
As of the 26th of January, Pao holds the Risk Adjusted Performance of 0.1543, coefficient of variation of 506.27, and Semi Deviation of 8.7. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Pao, as well as the relationship between them. Please check Pao Group variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if Pao Group is priced some-what accurately, providing market reflects its current price of 6.0E-4 per share. As Pao Group appears to be a penny stock we also advise to check out its total risk alpha numbers.
Pao Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Pao, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PaoPao |
Pao '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 Pao's pink sheet 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 Pao.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Pao on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Pao Group or generate 0.0% return on investment in Pao over 90 days. PAO Group, Inc. focuses on alternative patient care treatments More
Pao 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 Pao's pink sheet 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 Pao Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 19.72 | |||
| Information Ratio | 0.1946 | |||
| Maximum Drawdown | 183.33 | |||
| Value At Risk | (20.00) | |||
| Potential Upside | 40.0 |
Pao Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pao's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pao's standard deviation. In reality, there are many statistical measures that can use Pao historical prices to predict the future Pao's volatility.| Risk Adjusted Performance | 0.1543 | |||
| Jensen Alpha | 5.09 | |||
| Total Risk Alpha | 2.74 | |||
| Sortino Ratio | 0.2607 | |||
| Treynor Ratio | 3.05 |
Pao January 26, 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 | 0.1543 | |||
| Market Risk Adjusted Performance | 3.06 | |||
| Mean Deviation | 14.64 | |||
| Semi Deviation | 8.7 | |||
| Downside Deviation | 19.72 | |||
| Coefficient Of Variation | 506.27 | |||
| Standard Deviation | 26.42 | |||
| Variance | 698.11 | |||
| Information Ratio | 0.1946 | |||
| Jensen Alpha | 5.09 | |||
| Total Risk Alpha | 2.74 | |||
| Sortino Ratio | 0.2607 | |||
| Treynor Ratio | 3.05 | |||
| Maximum Drawdown | 183.33 | |||
| Value At Risk | (20.00) | |||
| Potential Upside | 40.0 | |||
| Downside Variance | 388.71 | |||
| Semi Variance | 75.65 | |||
| Expected Short fall | (40.13) | |||
| Skewness | 3.57 | |||
| Kurtosis | 16.55 |
Pao Group Backtested Returns
Pao is out of control given 3 months investment horizon. Pao Group maintains Sharpe Ratio (i.e., Efficiency) of 0.2, which implies the firm had a 0.2 % return per unit of risk over the last 3 months. We were able to break down and interpolate data for thirty different technical indicators, which can help you to evaluate if expected returns of 5.3% are justified by taking the suggested risk. Use Pao Risk Adjusted Performance of 0.1543, coefficient of variation of 506.27, and Semi Deviation of 8.7 to evaluate company specific risk that cannot be diversified away. Pao holds a performance score of 15 on a scale of zero to a hundred. The company holds a Beta of 1.71, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Pao will likely underperform. Use Pao maximum drawdown, accumulation distribution, relative strength index, as well as the relationship between the semi variance and day typical price , to analyze future returns on Pao.
Auto-correlation | 0.56 |
Modest predictability
Pao Group has modest predictability. Overlapping area represents the amount of predictability between Pao time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th 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 Pao Group price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Pao price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Pao technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Pao Group 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 Pao Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Pao 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 Pao Group 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 Pao Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Pao Group price pattern first instead of the macroeconomic environment surrounding Pao Group. By analyzing Pao'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 Pao'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 Pao specific price patterns or momentum indicators. Please read more on our technical analysis page.
Pao January 26, 2026 Technical Indicators
Most technical analysis of Pao 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 Pao from various momentum indicators to cycle indicators. When you analyze Pao 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 | 0.1543 | |||
| Market Risk Adjusted Performance | 3.06 | |||
| Mean Deviation | 14.64 | |||
| Semi Deviation | 8.7 | |||
| Downside Deviation | 19.72 | |||
| Coefficient Of Variation | 506.27 | |||
| Standard Deviation | 26.42 | |||
| Variance | 698.11 | |||
| Information Ratio | 0.1946 | |||
| Jensen Alpha | 5.09 | |||
| Total Risk Alpha | 2.74 | |||
| Sortino Ratio | 0.2607 | |||
| Treynor Ratio | 3.05 | |||
| Maximum Drawdown | 183.33 | |||
| Value At Risk | (20.00) | |||
| Potential Upside | 40.0 | |||
| Downside Variance | 388.71 | |||
| Semi Variance | 75.65 | |||
| Expected Short fall | (40.13) | |||
| Skewness | 3.57 | |||
| Kurtosis | 16.55 |
Pao January 26, 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 Pao 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 | 0.29 | ||
| Daily Balance Of Power | (0.50) | ||
| Rate Of Daily Change | 0.86 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.0002 |
Complementary Tools for Pao Pink Sheet analysis
When running Pao's price analysis, check to measure Pao'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 Pao is operating at the current time. Most of Pao's value examination focuses on studying past and present price action to predict the probability of Pao's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Pao's price. Additionally, you may evaluate how the addition of Pao to your portfolios can decrease your overall portfolio volatility.
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