Ping An Insurance Stock Technical Analysis
| PIAIF Stock | USD 9.03 0.21 2.38% |
As of the 28th of January, Ping An holds the Risk Adjusted Performance of 0.1178, coefficient of variation of 668.68, and Semi Deviation of 1.93. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Ping An, as well as the relationship between them. Please check Ping An Insurance value at risk, and the relationship between the jensen alpha and semi variance to decide if Ping An Insurance is priced some-what accurately, providing market reflects its current price of 9.03 per share. Given that Ping An has jensen alpha of 0.5238, we recommend you to check out Ping An Insurance's recent market performance to make sure the company can sustain itself at a future point.
Ping An Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ping, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PingPing |
Ping An '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 Ping An'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 Ping An.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Ping An on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Ping An Insurance or generate 0.0% return on investment in Ping An over 90 days. Ping An is related to or competes with China Life, Bank of China, AIA Group, Allianz SE, AIA, Bank of China, and China Merchants. Ping An Insurance Company of China, Ltd. provides financial products and services for insurance, banking, asset manageme... More
Ping An 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 Ping An'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 Ping An Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.4 | |||
| Information Ratio | 0.1249 | |||
| Maximum Drawdown | 19.13 | |||
| Value At Risk | (4.58) | |||
| Potential Upside | 5.08 |
Ping An Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ping An's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ping An's standard deviation. In reality, there are many statistical measures that can use Ping An historical prices to predict the future Ping An's volatility.| Risk Adjusted Performance | 0.1178 | |||
| Jensen Alpha | 0.5238 | |||
| Total Risk Alpha | 0.1681 | |||
| Sortino Ratio | 0.118 | |||
| Treynor Ratio | (0.60) |
Ping An January 28, 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 | 0.1178 | |||
| Market Risk Adjusted Performance | (0.59) | |||
| Mean Deviation | 2.12 | |||
| Semi Deviation | 1.93 | |||
| Downside Deviation | 3.4 | |||
| Coefficient Of Variation | 668.68 | |||
| Standard Deviation | 3.21 | |||
| Variance | 10.29 | |||
| Information Ratio | 0.1249 | |||
| Jensen Alpha | 0.5238 | |||
| Total Risk Alpha | 0.1681 | |||
| Sortino Ratio | 0.118 | |||
| Treynor Ratio | (0.60) | |||
| Maximum Drawdown | 19.13 | |||
| Value At Risk | (4.58) | |||
| Potential Upside | 5.08 | |||
| Downside Variance | 11.53 | |||
| Semi Variance | 3.71 | |||
| Expected Short fall | (3.50) | |||
| Skewness | 1.45 | |||
| Kurtosis | 5.31 |
Ping An Insurance Backtested Returns
Ping An appears to be slightly risky, given 3 months investment horizon. Ping An Insurance maintains Sharpe Ratio (i.e., Efficiency) of 0.12, which implies the firm had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Ping An Insurance, which you can use to evaluate the volatility of the company. Please evaluate Ping An's Coefficient Of Variation of 668.68, semi deviation of 1.93, and Risk Adjusted Performance of 0.1178 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Ping An holds a performance score of 9. The company holds a Beta of -0.78, which implies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Ping An are expected to decrease at a much lower rate. During the bear market, Ping An is likely to outperform the market. Please check Ping An's semi variance, rate of daily change, and the relationship between the value at risk and kurtosis , to make a quick decision on whether Ping An's historical price patterns will revert.
Auto-correlation | 0.11 |
Insignificant predictability
Ping An Insurance has insignificant predictability. Overlapping area represents the amount of predictability between Ping An time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th 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 Ping An Insurance price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Ping An price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Ping An 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.
Ping An Insurance 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 Ping An Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Ping An 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 Ping An Insurance 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 Ping An Insurance based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Ping An Insurance price pattern first instead of the macroeconomic environment surrounding Ping An Insurance. By analyzing Ping An'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 Ping An'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 Ping An specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ping An January 28, 2026 Technical Indicators
Most technical analysis of Ping 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 Ping from various momentum indicators to cycle indicators. When you analyze Ping 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 | 0.1178 | |||
| Market Risk Adjusted Performance | (0.59) | |||
| Mean Deviation | 2.12 | |||
| Semi Deviation | 1.93 | |||
| Downside Deviation | 3.4 | |||
| Coefficient Of Variation | 668.68 | |||
| Standard Deviation | 3.21 | |||
| Variance | 10.29 | |||
| Information Ratio | 0.1249 | |||
| Jensen Alpha | 0.5238 | |||
| Total Risk Alpha | 0.1681 | |||
| Sortino Ratio | 0.118 | |||
| Treynor Ratio | (0.60) | |||
| Maximum Drawdown | 19.13 | |||
| Value At Risk | (4.58) | |||
| Potential Upside | 5.08 | |||
| Downside Variance | 11.53 | |||
| Semi Variance | 3.71 | |||
| Expected Short fall | (3.50) | |||
| Skewness | 1.45 | |||
| Kurtosis | 5.31 |
Ping An January 28, 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 Ping 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 | 2.29 | ||
| Daily Balance Of Power | 10.50 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 9.02 | ||
| Day Typical Price | 9.02 | ||
| Price Action Indicator | 0.11 |
Complementary Tools for Ping Pink Sheet analysis
When running Ping An's price analysis, check to measure Ping An'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 Ping An is operating at the current time. Most of Ping An's value examination focuses on studying past and present price action to predict the probability of Ping An's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ping An's price. Additionally, you may evaluate how the addition of Ping An to your portfolios can decrease your overall portfolio volatility.
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