Shuttle (Taiwan) Technical Analysis
| 2405 Stock | TWD 15.60 0.10 0.64% |
As of the 13th of February 2026, Shuttle has the Variance of 2.69, coefficient of variation of (775.08), and Risk Adjusted Performance of (0.1). Shuttle technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Shuttle information ratio, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk to decide if Shuttle is priced more or less accurately, providing market reflects its prevalent price of 15.6 per share.
Shuttle Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Shuttle, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShuttleShuttle |
Shuttle '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 Shuttle'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 Shuttle.
| 11/15/2025 |
| 02/13/2026 |
If you would invest 0.00 in Shuttle on November 15, 2025 and sell it all today you would earn a total of 0.00 from holding Shuttle or generate 0.0% return on investment in Shuttle over 90 days. Shuttle is related to or competes with BES Engineering, ECOVE Environment, Longwell, Chicony Power, Gloria Material, Hong Tai, and Hua Eng. Shuttle Inc. designs and manufactures small form factor computers and accessories worldwide More
Shuttle 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 Shuttle'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 Shuttle upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 6.71 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 2.4 |
Shuttle Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Shuttle's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shuttle's standard deviation. In reality, there are many statistical measures that can use Shuttle historical prices to predict the future Shuttle's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | (3.53) |
Shuttle February 13, 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 | (0.1) | |||
| Market Risk Adjusted Performance | (3.52) | |||
| Mean Deviation | 1.3 | |||
| Coefficient Of Variation | (775.08) | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.69 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | (3.53) | |||
| Maximum Drawdown | 6.71 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 2.4 | |||
| Skewness | 0.1108 | |||
| Kurtosis | (0.22) |
Shuttle Backtested Returns
Shuttle owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0887, which indicates the firm had a -0.0887 % return per unit of risk over the last 3 months. Shuttle exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Shuttle's Variance of 2.69, risk adjusted performance of (0.1), and Coefficient Of Variation of (775.08) to confirm the risk estimate we provide. The entity has a beta of 0.0628, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Shuttle's returns are expected to increase less than the market. However, during the bear market, the loss of holding Shuttle is expected to be smaller as well. At this point, Shuttle has a negative expected return of -0.14%. Please make sure to validate Shuttle's total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if Shuttle performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.7 |
Very good reverse predictability
Shuttle has very good reverse predictability. Overlapping area represents the amount of predictability between Shuttle time series from 15th of November 2025 to 30th of December 2025 and 30th of December 2025 to 13th 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 Shuttle price movement. The serial correlation of -0.7 indicates that around 70.0% of current Shuttle price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.56 |
Shuttle 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.
Shuttle 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 Shuttle across different markets.
About Shuttle 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 Shuttle 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 Shuttle based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Shuttle price pattern first instead of the macroeconomic environment surrounding Shuttle. By analyzing Shuttle'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 Shuttle'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 Shuttle specific price patterns or momentum indicators. Please read more on our technical analysis page.
Shuttle February 13, 2026 Technical Indicators
Most technical analysis of Shuttle 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 Shuttle from various momentum indicators to cycle indicators. When you analyze Shuttle 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 | (0.1) | |||
| Market Risk Adjusted Performance | (3.52) | |||
| Mean Deviation | 1.3 | |||
| Coefficient Of Variation | (775.08) | |||
| Standard Deviation | 1.64 | |||
| Variance | 2.69 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.36) | |||
| Treynor Ratio | (3.53) | |||
| Maximum Drawdown | 6.71 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 2.4 | |||
| Skewness | 0.1108 | |||
| Kurtosis | (0.22) |
Shuttle February 13, 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 Shuttle 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 | (0.50) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 15.65 | ||
| Day Typical Price | 15.63 | ||
| Price Action Indicator | (0.10) | ||
| Market Facilitation Index | 0.20 |
Additional Tools for Shuttle Stock Analysis
When running Shuttle's price analysis, check to measure Shuttle'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 Shuttle is operating at the current time. Most of Shuttle's value examination focuses on studying past and present price action to predict the probability of Shuttle's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shuttle's price. Additionally, you may evaluate how the addition of Shuttle to your portfolios can decrease your overall portfolio volatility.