Ping An Insurance Stock Technical Analysis
| PIAIF Stock | USD 8.19 0.24 3.02% |
As of the 11th of March 2026, shares of Ping An change hands at 8.19 per share. Momentum and volatility readings indicate Semi Deviation of 3.46, coefficient of variation of 1537.07, and Risk Adjusted Performance of 0.0582. The system measures statistical relationships between price fluctuations and trading activity. Indicator values are assessed relative to historical performance bands.
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
Running a what-if backtest on Ping An Insurance gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Ping An's historical reward profile was stable enough to support the current thesis.
| 12/11/2025 |
| 03/11/2026 |
An initial 0.00 allocation to Ping An on December 11, 2025 held through today would generate 0.00 in total gains. That corresponds to a 0.0% total return in Ping An overall over 90 days.. Ping An is often compared with China Life, Bank of China, AIA Group, Allianz SE, AIA Group, Bank of China Ltd ADR, and China Merchants based on sector and business overlap. Peer context helps frame relative positioning. Ping An Insurance Company of China, Ltd. provides financial products and services for insurance, banking, asset manageme... More
Ping An Momentum Range Indicators Overview
This section highlights upside and downside signals that contextualize Ping An price behavior. They compare current price to recent trend and sentiment readings.
| Downside Deviation | 4.95 | |||
| Information Ratio | 0.0657 | |||
| Maximum Drawdown | 24.23 | |||
| Value At Risk | -5.48 | |||
| Potential Upside | 6.21 |
Ping An Volatility and Risk Indicators Overview
This section presents risk metrics that describe Ping An's historical price variability. The metrics rely on historical prices to describe variability over time.| Risk Adjusted Performance | 0.0582 | |||
| Jensen Alpha | 0.2624 | |||
| Total Risk Alpha | 0.3243 | |||
| Sortino Ratio | 0.0545 | |||
| Treynor Ratio | 0.582 |
The mean reversion principle applied to Ping An's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
Ping An 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 | 0.0582 | |||
| Market Risk Adjusted Performance | 0.592 | |||
| Mean Deviation | 2.78 | |||
| Semi Deviation | 3.46 | |||
| Downside Deviation | 4.95 | |||
| Coefficient Of Variation | 1537.07 | |||
| Standard Deviation | 4.1 | |||
| Variance | 16.82 | |||
| Information Ratio | 0.0657 | |||
| Jensen Alpha | 0.2624 | |||
| Total Risk Alpha | 0.3243 | |||
| Sortino Ratio | 0.0545 | |||
| Treynor Ratio | 0.582 | |||
| Maximum Drawdown | 24.23 | |||
| Value At Risk | -5.48 | |||
| Potential Upside | 6.21 | |||
| Downside Variance | 24.48 | |||
| Semi Variance | 11.96 | |||
| Expected Short fall | -3.42 | |||
| Skewness | 0.4445 | |||
| Kurtosis | 2.4 |
Ping An Insurance Backtested Returns
Ping An presents a slightly elevated risk exposure within the defined horizon. It shows a risk-adjusted return measure of 0.0639, defining risk-normalized returns. We identified twenty-nine technical indicators influencing the company's volatility profile. Please review metrics such as Semi Deviation of 3.46, risk-adjusted performance of 0.0582, and Coefficient Of Variation of 1537.07 to review dispersion measures. On a scale of 0 to 100, Ping An holds a performance score of 5. The company secures a Beta (Market Risk) of 0.44, which means possible diversification benefits within a given portfolio. As returns on the market increase, Ping An's returns are expected to increase less than the market. However, during a bear market, the loss from holding Ping An is expected to be smaller as well. Please confirm Ping An's semi variance, kurtosis, and the relationship between the value at risk and rate of daily change , to make a quick decision on whether Ping An's historical price patterns will revert.
Auto-correlation | -0.13 |
Insignificant reverse predictability
Ping An Insurance exhibits insignificant reverse predictability. Autocorrelation measures the degree of predictability between Ping An time series from 11th of December 2025 to 25th of January 2026 and from 25th of January 2026 to 11th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Ping An Insurance may be projected. A serial correlation of -0.13 indicates that less than 13.0% of current Ping An price fluctuations can be explained by its historical price movements. Given that Ping An Insurance has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.13 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
Technical analysis for Ping An examines price and volume behavior across market regimes. Typical tools include moving averages, relative strength index, regressions, and price correlations.
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
Technical analysis of Ping An evaluates price structure, momentum, and volatility clustering. Volatility compression can precede expansion in dispersion regimes. Ping An has market cap of 132.9 B, P/E of 4.92, ROE of 11.05%.
Unless otherwise specified, financial data for Ping An Insurance is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Updates may occur throughout the day.
Ping An Technical Indicators
A technical review of Ping An Insurance can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0582 | |||
| Market Risk Adjusted Performance | 0.592 | |||
| Mean Deviation | 2.78 | |||
| Semi Deviation | 3.46 | |||
| Downside Deviation | 4.95 | |||
| Coefficient Of Variation | 1537.07 | |||
| Standard Deviation | 4.1 | |||
| Variance | 16.82 | |||
| Information Ratio | 0.0657 | |||
| Jensen Alpha | 0.2624 | |||
| Total Risk Alpha | 0.3243 | |||
| Sortino Ratio | 0.0545 | |||
| Treynor Ratio | 0.582 | |||
| Maximum Drawdown | 24.23 | |||
| Value At Risk | -5.48 | |||
| Potential Upside | 6.21 | |||
| Downside Variance | 24.48 | |||
| Semi Variance | 11.96 | |||
| Expected Short fall | -3.42 | |||
| Skewness | 0.4445 | |||
| Kurtosis | 2.4 |
Ping An March 11, 2026 Daily Trend Indicators
A technical review of Ping An Insurance can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 982.73 | ||
| Daily Balance Of Power | 0.73 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 8.18 | ||
| Day Typical Price | 8.19 | ||
| Price Action Indicator | 0.12 |
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