LG Ecommerce (Switzerland) Technical Analysis
| ECOM Etf | CHF 13.74 -0.27 -1.93% |
As of the 22nd of March, LG Ecommerce lists a market price of 13.74 per share. Market-based metrics show Market Risk Adjusted Performance of -1.08, information ratio of -0.05, and Mean Deviation of 0.4844. Structured modeling of historical data supports trend assessment. Current readings are analyzed relative to broader market benchmarks.
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 |
What if' Analysis
What-if analysis for LG Ecommerce Logistics is essentially a historical sensitivity test that shows how changes in the investment horizon could have altered realized return, drawdown, and timing outcomes. The stronger interpretation comes from comparing realized return, risk, and path dependency instead of focusing only on the best historical outcome.
| 12/22/2025 |
| 03/22/2026 |
Had you placed 0.00 in LG Ecommerce on December 22, 2025 and held until today, you would generate 0.00 in net gains. That works out to a 0.0% return on investment in LG Ecommerce overall over a 90 day period. The dataset is based on available price and volume observations. LG Ecommerce competes with or is related to Vanguard FTSE, and UBS ETF. Peer context can support comparative analysis. The objective of the fund is to provide exposure to a basket of stocks of logistics service providers and technology com... More
LG Ecommerce Momentum Range Indicators Signals
Directional momentum for LG Ecommerce is captured through indicators that track upside and downside price ranges. This context describes price behavior relative to short-term momentum benchmarks. The information reflects structured market data collected across trading periods.
| Information Ratio | -0.05 | |||
| Maximum Drawdown | 4.28 | |||
| Value At Risk | -1.73 | |||
| Potential Upside | 0.983 |
LG Ecommerce Market Risk Indicators Summary
LG Ecommerce's risk profile is reflected through volatility and return variability measures. These readings capture how return dispersion has evolved over measured periods. Values are drawn from observed market activity across periods. This view summarizes available data without implying outcomes.| Risk Adjusted Performance | -0.13 | |||
| Jensen Alpha | -0.12 | |||
| Total Risk Alpha | -0.04 | |||
| Treynor Ratio | -1.09 |
The mean reversion tendency in LG Ecommerce's price is a well-documented phenomenon that disciplined investors can exploit by identifying when price has diverged substantially from fundamental and historical anchors.
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 | -1.08 | |||
| Mean Deviation | 0.4844 | |||
| Coefficient Of Variation | -613.17 | |||
| Standard Deviation | 0.7598 | |||
| Variance | 0.5774 | |||
| Information Ratio | -0.05 | |||
| Jensen Alpha | -0.12 | |||
| Total Risk Alpha | -0.04 | |||
| Treynor Ratio | -1.09 | |||
| Maximum Drawdown | 4.28 | |||
| Value At Risk | -1.73 | |||
| Potential Upside | 0.983 | |||
| Skewness | -1.15 | |||
| Kurtosis | 2.62 |
LG Ecommerce Logistics Backtested Returns
LG Ecommerce demonstrates a very low volatility profile during the selected investment horizon. It shows a risk-adjusted return measure of -0.17, signaling negative dispersion-adjusted returns across 3 months. Quantitative evaluation found twenty-four metrics shaping volatility behavior. Please examine metrics such as market risk-adjusted performance of -1.08, information ratio of -0.05, and mean deviation of 0.4844 to review volatility-return dynamics. The etf owns a Beta (Market Sensitivity) of 0.12, which means very low measured sensitivity to broad market movements. Returns on LG Ecommerce tend to trail the broader market in strong rallies but hold up better when sentiment turns negative.
Auto-correlation | 0.66 |
Good predictability
Serial correlation analysis for LG Ecommerce Logistics reveals good predictability across the intervals from 22nd of December 2025 to 5th of February 2026 and from 5th of February 2026 to 22nd of March 2026. The degree of alignment between past and current intervals shapes expectations about LG Ecommerce Logistics's price persistence. At 0.66, around 66.0% of current LG Ecommerce price movement aligns with historical price trajectory.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
This analysis reflects how LG Ecommerce behaves based on price and volume data. The dataset includes signals based on trend and relative strength.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. 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.
Technical Analysis Methodology & Indicators
Technical analysis of LG Ecommerce evaluates traded price structure, volume, and spread stability relative to NAV behavior. Regime change is often preceded by volatility clustering and momentum decay.
This section for LG Ecommerce Logistics is built from fund disclosures and market reference feeds, with harmonization applied to align reporting definitions. Values may update on different source schedules.
This content is curated and reviewed by:
Rifka Kats - Member of Macroaxis Editorial BoardLG Ecommerce Technical Indicators
Investors following LG Ecommerce Logistics often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| 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 | -1.08 | |||
| Mean Deviation | 0.4844 | |||
| Coefficient Of Variation | -613.17 | |||
| Standard Deviation | 0.7598 | |||
| Variance | 0.5774 | |||
| Information Ratio | -0.05 | |||
| Jensen Alpha | -0.12 | |||
| Total Risk Alpha | -0.04 | |||
| Treynor Ratio | -1.09 | |||
| Maximum Drawdown | 4.28 | |||
| Value At Risk | -1.73 | |||
| Potential Upside | 0.983 | |||
| Skewness | -1.15 | |||
| Kurtosis | 2.62 |
March 22, 2026 Daily Trend Indicators
Investors following LG Ecommerce Logistics often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. The practical goal is to improve execution quality rather than to suggest that charts alone can predict every move.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | -3.00 | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 13.79 | ||
| Day Typical Price | 13.77 | ||
| Price Action Indicator | -0.18 | ||
| Market Facilitation Index | 0.09 |
More Resources for ECOM Etf Analysis
Other Information on Investing in ECOM Etf
Financial ratios reflect how major financial figures connect within LG Ecommerce. Together, they show how profit and cash flow relate to valuation. The layout supports consistent interpretation across periods. This data is based on the latest available financial reporting cycle.