Ping An Insurance Stock Technical Analysis
| PNGAY Stock | USD 15.45 -0.35 -2.22% |
As of the 21st of March, Ping An trades at 15.45 per share. Key technical indicators include Coefficient Of Variation of -1,603, variance of 2.82, and Risk Adjusted Performance of -0.04. The technical model evaluates historical price movement, trading volume, and volatility patterns to quantify trend strength. Current values are evaluated relative to sector peers and historical ranges.
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 |
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. Current market capitalization is about 136.92 Billion, enterprise value is near 235.35 Billion, and annual revenue is around 1.06 Trillion. The point is not to predict the future from one chart, but to understand how sensitive the trade has been to timing and holding assumptions.
| 12/21/2025 |
| 03/21/2026 |
Starting with 0.00 in Ping An on December 21, 2025 and exiting today would generate 0.00 in overall return. Overall, this is a 0.0% total return in Ping An for the period over 90 days. Ping An competes with or is related to China Life, AIA Group, AIA Group, Bank of China Ltd H, Sampo OYJ, DBS Group, and DBS Group. The list provides context for relative analysis. Peer grouping considers factors such as industry classification and business model. This information is provided for contextual purposes. Ping An Insurance Company of China, Ltd. provides financial products and services for insurance, banking, asset manageme... More
Upside and Downside Indicators for Ping An Signals
Directional momentum for Ping An is captured through indicators that track upside and downside price ranges. This context describes price behavior relative to short-term momentum benchmarks. All metrics are computed from historical trading data across available periods.
| Information Ratio | -0.01 | |||
| Maximum Drawdown | 9.11 | |||
| Value At Risk | -2.33 | |||
| Potential Upside | 2.98 |
Ping An Volatility and Risk Indicators Snapshot
Return variability and drawdown behavior for Ping An are summarized through these risk indicators. The metrics rely on historical prices to describe variability over time. Price and volume history from exchange records underpins the dataset.| Risk Adjusted Performance | -0.04 | |||
| Jensen Alpha | -0.03 | |||
| Total Risk Alpha | 0.0911 | |||
| Treynor Ratio | -0.14 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Ping An's price to converge to an average value over time is called mean reversion.
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 | -0.04 | |||
| Market Risk Adjusted Performance | -0.13 | |||
| Mean Deviation | 1.26 | |||
| Coefficient Of Variation | -1,603 | |||
| Standard Deviation | 1.68 | |||
| Variance | 2.82 | |||
| Information Ratio | -0.01 | |||
| Jensen Alpha | -0.03 | |||
| Total Risk Alpha | 0.0911 | |||
| Treynor Ratio | -0.14 | |||
| Maximum Drawdown | 9.11 | |||
| Value At Risk | -2.33 | |||
| Potential Upside | 2.98 | |||
| Skewness | 0.0025 | |||
| Kurtosis | 0.6592 |
Ping An Insurance Backtested Returns
Ping An appears to exhibit a very low volatility profile over the selected 3 months investment horizon. It shows a risk-adjusted return measure of -0.0756, defining negative risk-normalized returns. We identified twenty-two technical indicators influencing the company's volatility profile. Please review metrics such as Coefficient Of Variation of -1,603, variance of 2.82, and risk-adjusted performance of -0.04 to confirm whether our risk estimates align with your expectations. The company has a beta of 0.84, 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. At this point, Ping An Insurance has a negative expected return of -0.13%. Please make sure to check Ping An's relationship between the Skewness and day median price, to decide if Ping An Insurance's performance from the past will be repeated at some future point.
Auto-correlation | -0.45 |
Modest reverse predictability
Comparing Ping An's price behavior from 21st of December 2025 to 4th of February 2026 with the period from 4th of February 2026 to 21st of March 2026 produces modest reverse predictability. 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. The coefficient of -0.45 links just about 45.0% of Ping An's present price action to its own historical 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 | -0.45 | |
| Spearman Rank Test | -0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 1.01 |
Technical signals for Ping An are derived from price and volume activity. The model references indicators tied to price trends and momentum. It is based on recorded price and volume patterns over time. This dataset reflects observed data and is not advisory in nature.
Technical Analysis
This analysis covers twenty-five data points across the selected time horizon. 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.
Technical Analysis Methodology & Indicators
Technical analysis of Ping An evaluates price structure, momentum, and volatility clustering. Trend persistence provides context for directional stability. Market sensitivity appears generally aligned with broader economic conditions. Ping An has a market cap of 136.92 B, P/E of 4.32, ROE of 11.05%.
Unless otherwise specified, data for Ping An Insurance is compiled from periodic company reporting and market reference feeds and standardized for comparability. Updates may occur throughout the day.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardPing An Technical Indicators
Investors following Ping An Insurance often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.04 | |||
| Market Risk Adjusted Performance | -0.13 | |||
| Mean Deviation | 1.26 | |||
| Coefficient Of Variation | -1,603 | |||
| Standard Deviation | 1.68 | |||
| Variance | 2.82 | |||
| Information Ratio | -0.01 | |||
| Jensen Alpha | -0.03 | |||
| Total Risk Alpha | 0.0911 | |||
| Treynor Ratio | -0.14 | |||
| Maximum Drawdown | 9.11 | |||
| Value At Risk | -2.33 | |||
| Potential Upside | 2.98 | |||
| Skewness | 0.0025 | |||
| Kurtosis | 0.6592 |
March 21, 2026 Daily Trend Indicators
Investors following Ping An Insurance often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Accumulation Distribution | 3,796 | ||
| Daily Balance Of Power | -0.64 | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 15.65 | ||
| Day Typical Price | 15.58 | ||
| Price Action Indicator | -0.37 |
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