Zhong Yang Financial Stock Technical Analysis
| TOP Stock | USD 1.03 0.01 0.98% |
As of the 15th of February 2026, Zhong Yang maintains the Standard Deviation of 2.31, mean deviation of 1.78, and Market Risk Adjusted Performance of (0.12). Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of Zhong Yang Financial, as well as the relationship between them.
Zhong Yang Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Zhong, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ZhongZhong Yang's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Can Investment Banking & Brokerage industry sustain growth momentum? Does Zhong have expansion opportunities? Factors like these will boost the valuation of Zhong Yang. If investors know Zhong will grow in the future, the company's valuation will be higher. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Zhong Yang demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Quarterly Earnings Growth 0.897 | Earnings Share (0.14) | Revenue Per Share | Quarterly Revenue Growth 0.557 | Return On Assets |
Investors evaluate Zhong Yang Financial using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Zhong Yang's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Zhong Yang's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Zhong Yang's value and its price as these two are different measures arrived at by different means. Investors typically determine if Zhong Yang is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Zhong Yang's market price signifies the transaction level at which participants voluntarily complete trades.
Zhong Yang '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 Zhong Yang's stock 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 Zhong Yang.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Zhong Yang on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Zhong Yang Financial or generate 0.0% return on investment in Zhong Yang over 90 days. Zhong Yang is related to or competes with MDB Capital, Marygold Companies, Rand Capital, WinVest Acquisition, Heritage Global, Old Market, and DMY Squared. TOP Financial Group Limited, through its subsidiaries, operates as an online brokerage company in Hong Kong More
Zhong Yang 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 Zhong Yang's stock 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 Zhong Yang Financial upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 12.56 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 2.91 |
Zhong Yang Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Zhong Yang's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Zhong Yang's standard deviation. In reality, there are many statistical measures that can use Zhong Yang historical prices to predict the future Zhong Yang's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.13) |
Zhong Yang February 15, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 1.78 | |||
| Coefficient Of Variation | (2,657) | |||
| Standard Deviation | 2.31 | |||
| Variance | 5.35 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 12.56 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 2.91 | |||
| Skewness | 0.4905 | |||
| Kurtosis | 0.9924 |
Zhong Yang Financial Backtested Returns
Zhong Yang Financial shows Sharpe Ratio of close to zero, which attests that the company had a close to zero % return per unit of risk over the last 3 months. Zhong Yang Financial exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Zhong Yang's Market Risk Adjusted Performance of (0.12), standard deviation of 2.31, and Mean Deviation of 1.78 to validate the risk estimate we provide. The firm maintains a market beta of 0.74, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Zhong Yang's returns are expected to increase less than the market. However, during the bear market, the loss of holding Zhong Yang is expected to be smaller as well. At this point, Zhong Yang Financial has a negative expected return of -0.0214%. Please make sure to check out Zhong Yang's treynor ratio, accumulation distribution, as well as the relationship between the Accumulation Distribution and price action indicator , to decide if Zhong Yang Financial performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.3 |
Weak reverse predictability
Zhong Yang Financial has weak reverse predictability. Overlapping area represents the amount of predictability between Zhong Yang time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 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 Zhong Yang Financial price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Zhong Yang price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Zhong Yang technical stock 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, stock market cycles, or different charting patterns.
Zhong Yang Financial Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Zhong Yang Financial across different markets.
About Zhong Yang 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 Zhong Yang Financial 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 Zhong Yang Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Zhong Yang Financial price pattern first instead of the macroeconomic environment surrounding Zhong Yang Financial. By analyzing Zhong Yang'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 Zhong Yang'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 Zhong Yang specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2025 | 2026 (projected) | Dividend Yield | 0.007709 | 0.006852 | Price To Sales Ratio | 15.86 | 15.07 |
Zhong Yang February 15, 2026 Technical Indicators
Most technical analysis of Zhong 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 Zhong from various momentum indicators to cycle indicators. When you analyze Zhong 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 1.78 | |||
| Coefficient Of Variation | (2,657) | |||
| Standard Deviation | 2.31 | |||
| Variance | 5.35 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.27) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 12.56 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 2.91 | |||
| Skewness | 0.4905 | |||
| Kurtosis | 0.9924 |
Zhong Yang February 15, 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 Zhong 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 | 0.01 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 1.02 | ||
| Day Typical Price | 1.03 | ||
| Price Action Indicator | 0.01 | ||
| Market Facilitation Index | 0.01 |
Additional Tools for Zhong Stock Analysis
When running Zhong Yang's price analysis, check to measure Zhong Yang'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 Zhong Yang is operating at the current time. Most of Zhong Yang's value examination focuses on studying past and present price action to predict the probability of Zhong Yang's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Zhong Yang's price. Additionally, you may evaluate how the addition of Zhong Yang to your portfolios can decrease your overall portfolio volatility.