Ecolomondo Stock Technical Analysis
| ECLMF Stock | USD 0.13 0.01 8.33% |
As of the 28th of January, Ecolomondo shows the Standard Deviation of 3.63, mean deviation of 1.06, and Variance of 13.18. Ecolomondo 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. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We have collected data for eleven technical drivers for Ecolomondo, which can be compared to its peers. Please confirm Ecolomondo variance and skewness to decide if Ecolomondo is priced favorably, providing market reflects its regular price of 0.13 per share. As Ecolomondo appears to be a penny stock we also advise to verify its information ratio numbers.
Ecolomondo Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ecolomondo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EcolomondoEcolomondo |
Ecolomondo '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 Ecolomondo's otc 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 Ecolomondo.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Ecolomondo on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Ecolomondo or generate 0.0% return on investment in Ecolomondo over 90 days. Ecolomondo is related to or competes with Northstar Clean, Vitreous Glass, CHAR Technologies, Greenlane Renewables, Aquarius Engines, Balance Labs, and SSC Security. Ecolomondo Corporation operates as a clean tech company in Canada More
Ecolomondo 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 Ecolomondo's otc 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 Ecolomondo upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 23.72 |
Ecolomondo Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ecolomondo's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ecolomondo's standard deviation. In reality, there are many statistical measures that can use Ecolomondo historical prices to predict the future Ecolomondo's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.50) | |||
| Treynor Ratio | (0.17) |
Ecolomondo January 28, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 1.06 | |||
| Coefficient Of Variation | (2,489) | |||
| Standard Deviation | 3.63 | |||
| Variance | 13.18 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.50) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 23.72 | |||
| Skewness | (3.10) | |||
| Kurtosis | 18.89 |
Ecolomondo Backtested Returns
Ecolomondo secures Sharpe Ratio (or Efficiency) of -0.0411, which denotes the company had a -0.0411 % return per unit of risk over the last 3 months. Ecolomondo exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Ecolomondo's Variance of 13.18, mean deviation of 1.06, and Standard Deviation of 3.63 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.91, which means possible diversification benefits within a given portfolio. Ecolomondo returns are very sensitive to returns on the market. As the market goes up or down, Ecolomondo is expected to follow. At this point, Ecolomondo has a negative expected return of -0.15%. Please make sure to confirm Ecolomondo's skewness, as well as the relationship between the day median price and relative strength index , to decide if Ecolomondo performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.24 |
Weak reverse predictability
Ecolomondo has weak reverse predictability. Overlapping area represents the amount of predictability between Ecolomondo time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th of January 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 Ecolomondo price movement. The serial correlation of -0.24 indicates that over 24.0% of current Ecolomondo price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Ecolomondo technical otc 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, otc market cycles, or different charting patterns.
Ecolomondo 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 Ecolomondo across different markets.
About Ecolomondo 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 Ecolomondo 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 Ecolomondo based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Ecolomondo price pattern first instead of the macroeconomic environment surrounding Ecolomondo. By analyzing Ecolomondo'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 Ecolomondo'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 Ecolomondo specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ecolomondo January 28, 2026 Technical Indicators
Most technical analysis of Ecolomondo 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 Ecolomondo from various momentum indicators to cycle indicators. When you analyze Ecolomondo 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 1.06 | |||
| Coefficient Of Variation | (2,489) | |||
| Standard Deviation | 3.63 | |||
| Variance | 13.18 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.50) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 23.72 | |||
| Skewness | (3.10) | |||
| Kurtosis | 18.89 |
Ecolomondo January 28, 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 Ecolomondo 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 | Huge | ||
| Rate Of Daily Change | 1.08 | ||
| Day Median Price | 0.13 | ||
| Day Typical Price | 0.13 | ||
| Price Action Indicator | 0.01 |
Complementary Tools for Ecolomondo OTC Stock analysis
When running Ecolomondo's price analysis, check to measure Ecolomondo'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 Ecolomondo is operating at the current time. Most of Ecolomondo's value examination focuses on studying past and present price action to predict the probability of Ecolomondo's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ecolomondo's price. Additionally, you may evaluate how the addition of Ecolomondo to your portfolios can decrease your overall portfolio volatility.
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