In Win (Taiwan) Technical Analysis
| 6117 Stock | TWD 77.20 0.60 0.77% |
As of the 6th of February, In Win owns the Coefficient Of Variation of (7,426), information ratio of (0.03), and Market Risk Adjusted Performance of (0.12). In Win Development technical analysis makes it possible for you to employ past data patterns with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out In Win Development coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if In Win Development is priced adequately, providing market reflects its prevailing price of 77.2 per share.
In Win Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as 6117, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to 61176117 |
In Win '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 In Win'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 In Win.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in In Win on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding In Win Development or generate 0.0% return on investment in In Win over 90 days. In Win is related to or competes with DFI, Aten International, Avalue Technology, Unitech Computer, Sunrex Technology, Infortrend Technology, and Mildef Crete. In Win Development Inc. manufactures and sells computer chassis, power supply, cloud, and other products worldwide More
In Win 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 In Win'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 In Win Development upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 14.17 | |||
| Value At Risk | (2.96) | |||
| Potential Upside | 2.7 |
In Win Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for In Win's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as In Win's standard deviation. In reality, there are many statistical measures that can use In Win historical prices to predict the future In Win's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.13) |
In Win February 6, 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) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 1.51 | |||
| Coefficient Of Variation | (7,426) | |||
| Standard Deviation | 2.17 | |||
| Variance | 4.72 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 14.17 | |||
| Value At Risk | (2.96) | |||
| Potential Upside | 2.7 | |||
| Skewness | 1.35 | |||
| Kurtosis | 6.23 |
In Win Development Backtested Returns
In Win Development retains Efficiency (Sharpe Ratio) of -0.0287, which attests that the entity had a -0.0287 % return per unit of price deviation over the last 3 months. In Win exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out In Win's Coefficient Of Variation of (7,426), information ratio of (0.03), and Market Risk Adjusted Performance of (0.12) to validate the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.31, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, In Win's returns are expected to increase less than the market. However, during the bear market, the loss of holding In Win is expected to be smaller as well. At this point, In Win Development has a negative expected return of -0.0636%. Please make sure to check out In Win's market risk adjusted performance, coefficient of variation, information ratio, as well as the relationship between the mean deviation and standard deviation , to decide if In Win Development performance from the past will be repeated in the future.
Auto-correlation | -0.03 |
Very weak reverse predictability
In Win Development has very weak reverse predictability. Overlapping area represents the amount of predictability between In Win time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 In Win Development price movement. The serial correlation of -0.03 indicates that only 3.0% of current In Win price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 5.4 |
In Win 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.
In Win Development Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 In Win Development volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About In Win 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 In Win Development 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 In Win Development based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on In Win Development price pattern first instead of the macroeconomic environment surrounding In Win Development. By analyzing In Win'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 In Win'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 In Win specific price patterns or momentum indicators. Please read more on our technical analysis page.
In Win February 6, 2026 Technical Indicators
Most technical analysis of 6117 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 6117 from various momentum indicators to cycle indicators. When you analyze 6117 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) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 1.51 | |||
| Coefficient Of Variation | (7,426) | |||
| Standard Deviation | 2.17 | |||
| Variance | 4.72 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.14) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 14.17 | |||
| Value At Risk | (2.96) | |||
| Potential Upside | 2.7 | |||
| Skewness | 1.35 | |||
| Kurtosis | 6.23 |
In Win February 6, 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 6117 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 | 23,891 | ||
| Daily Balance Of Power | (0.17) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 78.65 | ||
| Day Typical Price | 78.17 | ||
| Price Action Indicator | (1.75) |
Additional Tools for 6117 Stock Analysis
When running In Win's price analysis, check to measure In Win'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 In Win is operating at the current time. Most of In Win's value examination focuses on studying past and present price action to predict the probability of In Win's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move In Win's price. Additionally, you may evaluate how the addition of In Win to your portfolios can decrease your overall portfolio volatility.