CyberPower Systems (Taiwan) Technical Analysis
| 3617 Stock | TWD 194.50 0.50 0.26% |
As of the 4th of February, CyberPower Systems shows the risk adjusted performance of (0.13), and Mean Deviation of 1.66. CyberPower Systems technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm CyberPower Systems mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if CyberPower Systems is priced correctly, providing market reflects its regular price of 194.5 per share.
CyberPower Systems Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as CyberPower, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CyberPowerCyberPower |
CyberPower Systems '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 CyberPower Systems' 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 CyberPower Systems.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in CyberPower Systems on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding CyberPower Systems or generate 0.0% return on investment in CyberPower Systems over 90 days. CyberPower Systems is related to or competes with BES Engineering, Golden Friends, ECOVE Environment, Longwell, Chicony Power, Gloria Material, and Hong Tai. CyberPower Systems, Inc. engages in the research and development, production, and sale of uninterruptible power systems,... More
CyberPower Systems 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 CyberPower Systems' 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 CyberPower Systems upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 9.88 | |||
| Value At Risk | (4.48) | |||
| Potential Upside | 2.1 |
CyberPower Systems Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CyberPower Systems' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CyberPower Systems' standard deviation. In reality, there are many statistical measures that can use CyberPower Systems historical prices to predict the future CyberPower Systems' volatility.| Risk Adjusted Performance | (0.13) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (1.66) |
CyberPower Systems February 4, 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 | (0.13) | |||
| Market Risk Adjusted Performance | (1.65) | |||
| Mean Deviation | 1.66 | |||
| Coefficient Of Variation | (525.62) | |||
| Standard Deviation | 2.18 | |||
| Variance | 4.75 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (1.66) | |||
| Maximum Drawdown | 9.88 | |||
| Value At Risk | (4.48) | |||
| Potential Upside | 2.1 | |||
| Skewness | (0.69) | |||
| Kurtosis | 1.53 |
CyberPower Systems Backtested Returns
CyberPower Systems secures Sharpe Ratio (or Efficiency) of -0.19, which signifies that the company had a -0.19 % return per unit of standard deviation over the last 3 months. CyberPower Systems exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CyberPower Systems' mean deviation of 1.66, and Risk Adjusted Performance of (0.13) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.26, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CyberPower Systems' returns are expected to increase less than the market. However, during the bear market, the loss of holding CyberPower Systems is expected to be smaller as well. At this point, CyberPower Systems has a negative expected return of -0.41%. Please make sure to confirm CyberPower Systems' mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if CyberPower Systems performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.69 |
Good predictability
CyberPower Systems has good predictability. Overlapping area represents the amount of predictability between CyberPower Systems time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 CyberPower Systems price movement. The serial correlation of 0.69 indicates that around 69.0% of current CyberPower Systems price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.64 | |
| Residual Average | 0.0 | |
| Price Variance | 79.42 |
CyberPower Systems 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.
CyberPower Systems 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 CyberPower Systems volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About CyberPower Systems 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 CyberPower Systems 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 CyberPower Systems based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on CyberPower Systems price pattern first instead of the macroeconomic environment surrounding CyberPower Systems. By analyzing CyberPower Systems'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 CyberPower Systems'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 CyberPower Systems specific price patterns or momentum indicators. Please read more on our technical analysis page.
CyberPower Systems February 4, 2026 Technical Indicators
Most technical analysis of CyberPower 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 CyberPower from various momentum indicators to cycle indicators. When you analyze CyberPower 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 | (0.13) | |||
| Market Risk Adjusted Performance | (1.65) | |||
| Mean Deviation | 1.66 | |||
| Coefficient Of Variation | (525.62) | |||
| Standard Deviation | 2.18 | |||
| Variance | 4.75 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.59) | |||
| Treynor Ratio | (1.66) | |||
| Maximum Drawdown | 9.88 | |||
| Value At Risk | (4.48) | |||
| Potential Upside | 2.1 | |||
| Skewness | (0.69) | |||
| Kurtosis | 1.53 |
CyberPower Systems February 4, 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 CyberPower 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 | 4,134 | ||
| Daily Balance Of Power | (0.12) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 194.50 | ||
| Day Typical Price | 194.50 | ||
| Price Action Indicator | (0.25) |
Additional Tools for CyberPower Stock Analysis
When running CyberPower Systems' price analysis, check to measure CyberPower Systems' 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 CyberPower Systems is operating at the current time. Most of CyberPower Systems' value examination focuses on studying past and present price action to predict the probability of CyberPower Systems' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CyberPower Systems' price. Additionally, you may evaluate how the addition of CyberPower Systems to your portfolios can decrease your overall portfolio volatility.