Traffic Control (China) Technical Analysis
| 688015 Stock | 24.99 -0.26 -1.03% |
According to pricing data from the 12th of March 2026, Traffic Control trades at 24.99 per share. Quantitative signals reflect Risk Adjusted Performance of 0.0952, coefficient of variation of 857.15, and Semi Deviation of 1.58. Volume-adjusted indicators are evaluated relative to historical ranges. Current technical signals are evaluated against industry dispersion.
Traffic Control Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Traffic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TrafficTraffic |
Traffic Control 'What if' Analysis
Running a what-if backtest on Traffic Control Technology 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 Traffic Control's historical reward profile was stable enough to support the current thesis.
| 12/12/2025 |
| 03/12/2026 |
Starting with 0.00 in Traffic Control on December 12, 2025 and exiting today would produce 0.00 in total gains. That corresponds to a 0.0% net return in Traffic Control overall over 90 days. Traffic Control has comparable peers such as Dymatic Chemicals, Cofco Biochemical, Puyang Huicheng, Smarter Microelectronics, Aurora Optoelectronics, Circuit Fabology, and Yangmei Chemical. Peer context helps frame relative positioning. More
Upside and Downside Indicators for Traffic Control Overview
These indicators describe how Traffic Control momentum evolves across recent price ranges. They compare current price to recent trend and sentiment readings.
| Downside Deviation | 1.79 | |||
| Information Ratio | 0.1237 | |||
| Maximum Drawdown | 8.05 | |||
| Value At Risk | -3.11 | |||
| Potential Upside | 2.4 |
Market Risk Indicators for Traffic Control Overview
Risk measures here provide context on Traffic Control's return distribution and drawdown behavior. The metrics rely on historical prices to describe variability over time.| Risk Adjusted Performance | 0.0952 | |||
| Jensen Alpha | 0.1716 | |||
| Total Risk Alpha | 0.2112 | |||
| Sortino Ratio | 0.1066 | |||
| Treynor Ratio | 1.87 |
Mean reversion opportunities in Traffic Control's arise when market prices disconnect from fundamental anchors such as earnings, book value, or historical price-to-earnings multiples.
Traffic Control 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 | 0.0952 | |||
| Market Risk Adjusted Performance | 1.88 | |||
| Mean Deviation | 1.16 | |||
| Semi Deviation | 1.58 | |||
| Downside Deviation | 1.79 | |||
| Coefficient Of Variation | 857.15 | |||
| Standard Deviation | 1.54 | |||
| Variance | 2.37 | |||
| Information Ratio | 0.1237 | |||
| Jensen Alpha | 0.1716 | |||
| Total Risk Alpha | 0.2112 | |||
| Sortino Ratio | 0.1066 | |||
| Treynor Ratio | 1.87 | |||
| Maximum Drawdown | 8.05 | |||
| Value At Risk | -3.11 | |||
| Potential Upside | 2.4 | |||
| Downside Variance | 3.2 | |||
| Semi Variance | 2.5 | |||
| Expected Short fall | -1.17 | |||
| Skewness | -0.73 | |||
| Kurtosis | 1.22 |
Traffic Control Backtested Returns
Traffic Control remains characterized by a very low volatility profile within the selected investment span. It maintains a Sharpe Ratio of 0.11, suggesting a return-to-volatility ratio of 0.11. Indicator analysis identified twenty-nine signals affecting performance dispersion. Please review metrics such as Semi Deviation of 1.58, coefficient of variation of 857.15, and risk-adjusted performance of 0.0952 to assess internal risk calibration. Traffic Control has a performance score of 8 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0909, which conveys relatively modest fluctuations relative to the market. As returns on the market increase, Traffic Control's returns are expected to increase less than the market. However, during a bear market, the loss from holding Traffic Control is expected to be smaller as well. Traffic Control at this time shows a risk of 1.55%. Please double-check Traffic Control Technology the relationship between the semi deviation and coefficient of variation.
Auto-correlation | 0.19 |
Very weak predictability
Traffic Control Technology exhibits very weak predictability. Autocorrelation measures the degree of predictability between Traffic Control time series from 12th of December 2025 to 26th of January 2026 and from 26th of January 2026 to 12th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Traffic Control may be projected. A serial correlation of 0.19 indicates that over 19.0% of current Traffic Control price fluctuations can be explained by its historical price movements.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | 0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.47 |
This technical analysis view for Traffic Control focuses on price, volume, and trend behavior. Typical tools include moving averages, relative strength index, regressions, and price correlations.
Traffic Control 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 Traffic Control volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Traffic Control Technical Analysis
Technical analysis of Traffic Control evaluates price structure, momentum, and volatility clustering. Oscillator extremes can precede mean reversion under certain regimes. Traffic Control has a market cap of 4.66 B, ROE of 7.11%. 
Raphi Shpitalnik · Junior Member of Macroaxis Editorial Board
Unless otherwise specified, financial data for Traffic Control Technology 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.
Traffic Stock is Curated By:
Raphi Shpitalnik · Junior Member of Macroaxis Editorial BoardTraffic Control Technical Indicators
A technical review of Traffic Control Technology 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 | 0.0952 | |||
| Market Risk Adjusted Performance | 1.88 | |||
| Mean Deviation | 1.16 | |||
| Semi Deviation | 1.58 | |||
| Downside Deviation | 1.79 | |||
| Coefficient Of Variation | 857.15 | |||
| Standard Deviation | 1.54 | |||
| Variance | 2.37 | |||
| Information Ratio | 0.1237 | |||
| Jensen Alpha | 0.1716 | |||
| Total Risk Alpha | 0.2112 | |||
| Sortino Ratio | 0.1066 | |||
| Treynor Ratio | 1.87 | |||
| Maximum Drawdown | 8.05 | |||
| Value At Risk | -3.11 | |||
| Potential Upside | 2.4 | |||
| Downside Variance | 3.2 | |||
| Semi Variance | 2.5 | |||
| Expected Short fall | -1.17 | |||
| Skewness | -0.73 | |||
| Kurtosis | 1.22 |
Traffic Control March 12, 2026 Daily Trend Indicators
A technical review of Traffic Control Technology 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 | 30,944 | ||
| Daily Balance Of Power | -0.42 | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 25.24 | ||
| Day Typical Price | 25.16 | ||
| Price Action Indicator | -0.38 |
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| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
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