Feature Integration (Taiwan) Technical Analysis
| 4951 Stock | TWD 67.90 0.70 1.04% |
As of the 3rd of February, Feature Integration shows the Coefficient Of Variation of (1,963), standard deviation of 1.43, and Mean Deviation of 1.05. Feature Integration technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Feature Integration coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if Feature Integration is priced favorably, providing market reflects its regular price of 67.9 per share.
Feature Integration Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Feature, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FeatureFeature |
Feature Integration '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 Feature Integration'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 Feature Integration.
| 11/05/2025 |
| 02/03/2026 |
If you would invest 0.00 in Feature Integration on November 5, 2025 and sell it all today you would earn a total of 0.00 from holding Feature Integration Technology or generate 0.0% return on investment in Feature Integration over 90 days. Feature Integration is related to or competes with EGalaxeMPIA Technology, Niching Industrial, Laster Tech, Princeton Technology, Algoltek, Fuzetec Technology, and Calitech. Feature Integration Technology Inc. designs, manufactures, and commercializes ICs and controllers More
Feature Integration 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 Feature Integration'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 Feature Integration Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 7.8 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 1.82 |
Feature Integration Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Feature Integration's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Feature Integration's standard deviation. In reality, there are many statistical measures that can use Feature Integration historical prices to predict the future Feature Integration's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | 2.51 |
Feature Integration February 3, 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 | (0.03) | |||
| Market Risk Adjusted Performance | 2.52 | |||
| Mean Deviation | 1.05 | |||
| Coefficient Of Variation | (1,963) | |||
| Standard Deviation | 1.43 | |||
| Variance | 2.06 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | 2.51 | |||
| Maximum Drawdown | 7.8 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 1.82 | |||
| Skewness | (0.82) | |||
| Kurtosis | 1.62 |
Feature Integration Backtested Returns
Feature Integration secures Sharpe Ratio (or Efficiency) of -0.037, which denotes the company had a -0.037 % return per unit of standard deviation over the last 3 months. Feature Integration Technology exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Feature Integration's Standard Deviation of 1.43, coefficient of variation of (1,963), and Mean Deviation of 1.05 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0331, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Feature Integration are expected to decrease at a much lower rate. During the bear market, Feature Integration is likely to outperform the market. At this point, Feature Integration has a negative expected return of -0.0521%. Please make sure to confirm Feature Integration's coefficient of variation, jensen alpha, and the relationship between the mean deviation and standard deviation , to decide if Feature Integration performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.36 |
Below average predictability
Feature Integration Technology has below average predictability. Overlapping area represents the amount of predictability between Feature Integration time series from 5th of November 2025 to 20th of December 2025 and 20th of December 2025 to 3rd 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 Feature Integration price movement. The serial correlation of 0.36 indicates that just about 36.0% of current Feature Integration price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 1.64 |
Feature Integration 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.
Feature Integration Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Feature Integration across different markets.
About Feature Integration 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 Feature Integration Technology 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 Feature Integration Technology based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Feature Integration price pattern first instead of the macroeconomic environment surrounding Feature Integration. By analyzing Feature Integration'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 Feature Integration'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 Feature Integration specific price patterns or momentum indicators. Please read more on our technical analysis page.
Feature Integration February 3, 2026 Technical Indicators
Most technical analysis of Feature 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 Feature from various momentum indicators to cycle indicators. When you analyze Feature 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 | (0.03) | |||
| Market Risk Adjusted Performance | 2.52 | |||
| Mean Deviation | 1.05 | |||
| Coefficient Of Variation | (1,963) | |||
| Standard Deviation | 1.43 | |||
| Variance | 2.06 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.17) | |||
| Treynor Ratio | 2.51 | |||
| Maximum Drawdown | 7.8 | |||
| Value At Risk | (2.88) | |||
| Potential Upside | 1.82 | |||
| Skewness | (0.82) | |||
| Kurtosis | 1.62 |
Feature Integration February 3, 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 Feature 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 | 1,253 | ||
| Daily Balance Of Power | 0.78 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 67.65 | ||
| Day Typical Price | 67.73 | ||
| Price Action Indicator | 0.60 |
Additional Tools for Feature Stock Analysis
When running Feature Integration's price analysis, check to measure Feature Integration'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 Feature Integration is operating at the current time. Most of Feature Integration's value examination focuses on studying past and present price action to predict the probability of Feature Integration's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Feature Integration's price. Additionally, you may evaluate how the addition of Feature Integration to your portfolios can decrease your overall portfolio volatility.