LG Ecommerce (Switzerland) Technical Analysis
| ECOM Etf | CHF 14.53 0.02 0.14% |
As of the 9th of February, LG Ecommerce owns the Mean Deviation of 0.3984, information ratio of (0.22), and Market Risk Adjusted Performance of (0.27). LG Ecommerce Logistics technical analysis lets you operate past data patterns with an objective to determine a pattern that forecasts the direction of the etf's future prices. Please verify LG Ecommerce Logistics coefficient of variation, variance, and the relationship between the mean deviation and standard deviation to decide if LG Ecommerce Logistics is priced some-what accurately, providing market reflects its prevailing price of 14.53 per share.
LG Ecommerce Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ECOM, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ECOMECOM |
LG Ecommerce '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 LG Ecommerce's etf 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 LG Ecommerce.
| 11/11/2025 |
| 02/09/2026 |
If you would invest 0.00 in LG Ecommerce on November 11, 2025 and sell it all today you would earn a total of 0.00 from holding LG Ecommerce Logistics or generate 0.0% return on investment in LG Ecommerce over 90 days. LG Ecommerce is related to or competes with Vanguard FTSE, and UBS ETF. The objective of the fund is to provide exposure to a basket of stocks of logistics service providers and technology com... More
LG Ecommerce 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 LG Ecommerce's etf 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 LG Ecommerce Logistics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 3.25 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.15 |
LG Ecommerce Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LG Ecommerce's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LG Ecommerce's standard deviation. In reality, there are many statistical measures that can use LG Ecommerce historical prices to predict the future LG Ecommerce's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.28) |
LG Ecommerce February 9, 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 | (0.07) | |||
| Market Risk Adjusted Performance | (0.27) | |||
| Mean Deviation | 0.3984 | |||
| Coefficient Of Variation | (1,249) | |||
| Standard Deviation | 0.6517 | |||
| Variance | 0.4247 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.28) | |||
| Maximum Drawdown | 3.25 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.15 | |||
| Skewness | (0.31) | |||
| Kurtosis | 1.32 |
LG Ecommerce Logistics Backtested Returns
LG Ecommerce Logistics retains Efficiency (Sharpe Ratio) of -0.0517, which conveys that the entity had a -0.0517 % return per unit of price deviation over the last 3 months. LG Ecommerce exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify LG Ecommerce's Market Risk Adjusted Performance of (0.27), information ratio of (0.22), and Mean Deviation of 0.3984 to check out the risk estimate we provide. The etf owns a Beta (Systematic Risk) of 0.22, which conveys not very significant fluctuations relative to the market. As returns on the market increase, LG Ecommerce's returns are expected to increase less than the market. However, during the bear market, the loss of holding LG Ecommerce is expected to be smaller as well.
Auto-correlation | -0.91 |
Near perfect reversele predictability
LG Ecommerce Logistics has near perfect reversele predictability. Overlapping area represents the amount of predictability between LG Ecommerce time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th 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 LG Ecommerce Logistics price movement. The serial correlation of -0.91 indicates that approximately 91.0% of current LG Ecommerce price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.91 | |
| Spearman Rank Test | -0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
LG Ecommerce technical etf 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, etf market cycles, or different charting patterns.
LG Ecommerce Logistics Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 LG Ecommerce Logistics volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About LG Ecommerce 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 LG Ecommerce Logistics 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 LG Ecommerce Logistics based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on LG Ecommerce Logistics price pattern first instead of the macroeconomic environment surrounding LG Ecommerce Logistics. By analyzing LG Ecommerce'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 LG Ecommerce'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 LG Ecommerce specific price patterns or momentum indicators. Please read more on our technical analysis page.
LG Ecommerce February 9, 2026 Technical Indicators
Most technical analysis of ECOM 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 ECOM from various momentum indicators to cycle indicators. When you analyze ECOM 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 | (0.07) | |||
| Market Risk Adjusted Performance | (0.27) | |||
| Mean Deviation | 0.3984 | |||
| Coefficient Of Variation | (1,249) | |||
| Standard Deviation | 0.6517 | |||
| Variance | 0.4247 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.13) | |||
| Treynor Ratio | (0.28) | |||
| Maximum Drawdown | 3.25 | |||
| Value At Risk | (1.48) | |||
| Potential Upside | 1.15 | |||
| Skewness | (0.31) | |||
| Kurtosis | 1.32 |
LG Ecommerce February 9, 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 ECOM 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 | 0.00 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 14.52 | ||
| Day Typical Price | 14.52 | ||
| Price Action Indicator | 0.02 | ||
| Market Facilitation Index | 0.02 |
Other Information on Investing in ECOM Etf
LG Ecommerce financial ratios help investors to determine whether ECOM Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ECOM with respect to the benefits of owning LG Ecommerce security.