E Automotive Stock Technical Analysis
| EICCF Stock | USD 0.01 0.00 0.00% |
As of the 6th of February, E Automotive owns the Variance of 1.354390495E7, market risk adjusted performance of 4.83, and Standard Deviation of 3680.2. E Automotive technical analysis allows you to utilize past data patterns in order to determine a pattern that computes the direction of the entity's future prices. Please confirm E Automotive coefficient of variation, as well as the relationship between the total risk alpha and skewness to decide if E Automotive is priced fairly, providing market reflects its prevailing price of 0.01 per share. As E Automotive appears to be a penny stock we also advise to verify its information ratio numbers.
E Automotive Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as EICCF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EICCFEICCF |
E Automotive '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 E Automotive's pink sheet 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 E Automotive.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in E Automotive on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding E Automotive or generate 0.0% return on investment in E Automotive over 90 days. E Automotive Inc. operates EDealer and EBlock digital auction and retailing platforms for automotive wholesale and retai... More
E Automotive 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 E Automotive's pink sheet 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 E Automotive upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1243 | |||
| Maximum Drawdown | 29993.33 |
E Automotive Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for E Automotive's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as E Automotive's standard deviation. In reality, there are many statistical measures that can use E Automotive historical prices to predict the future E Automotive's volatility.| Risk Adjusted Performance | 0.1035 | |||
| Jensen Alpha | 454.33 | |||
| Total Risk Alpha | 285.97 | |||
| Treynor Ratio | 4.82 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of E Automotive's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
E Automotive 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 | 0.1035 | |||
| Market Risk Adjusted Performance | 4.83 | |||
| Mean Deviation | 892.19 | |||
| Coefficient Of Variation | 804.11 | |||
| Standard Deviation | 3680.2 | |||
| Variance | 1.354390495E7 | |||
| Information Ratio | 0.1243 | |||
| Jensen Alpha | 454.33 | |||
| Total Risk Alpha | 285.97 | |||
| Treynor Ratio | 4.82 | |||
| Maximum Drawdown | 29993.33 | |||
| Skewness | 8.12 | |||
| Kurtosis | 65.97 |
E Automotive Backtested Returns
E Automotive is out of control given 3 months investment horizon. E Automotive retains Efficiency (Sharpe Ratio) of 0.15, which denotes the company had a 0.15 % return per unit of risk over the last 3 months. We were able to break down sixteen different technical indicators, which can help you to evaluate if expected returns of 21.08% are justified by taking the suggested risk. Use E Automotive Market Risk Adjusted Performance of 4.83, variance of 1.354390495E7, and Standard Deviation of 3680.2 to evaluate company specific risk that cannot be diversified away. E Automotive holds a performance score of 12 on a scale of zero to a hundred. The firm owns a Beta (Systematic Risk) of 95.0, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, E Automotive will likely underperform. Use E Automotive coefficient of variation and the relationship between the information ratio and day median price , to analyze future returns on E Automotive.
Auto-correlation | 0.00 |
No correlation between past and present
E Automotive has no correlation between past and present. Overlapping area represents the amount of predictability between E Automotive 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 E Automotive price movement. The serial correlation of 0.0 indicates that just 0.0% of current E Automotive price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.89 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
E Automotive technical pink sheet 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, pink sheet market cycles, or different charting patterns.
E Automotive 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 E Automotive volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About E Automotive 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 E Automotive 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 E Automotive based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on E Automotive price pattern first instead of the macroeconomic environment surrounding E Automotive. By analyzing E Automotive'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 E Automotive'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 E Automotive specific price patterns or momentum indicators. Please read more on our technical analysis page.
E Automotive February 6, 2026 Technical Indicators
Most technical analysis of EICCF 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 EICCF from various momentum indicators to cycle indicators. When you analyze EICCF 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 | 0.1035 | |||
| Market Risk Adjusted Performance | 4.83 | |||
| Mean Deviation | 892.19 | |||
| Coefficient Of Variation | 804.11 | |||
| Standard Deviation | 3680.2 | |||
| Variance | 1.354390495E7 | |||
| Information Ratio | 0.1243 | |||
| Jensen Alpha | 454.33 | |||
| Total Risk Alpha | 285.97 | |||
| Treynor Ratio | 4.82 | |||
| Maximum Drawdown | 29993.33 | |||
| Skewness | 8.12 | |||
| Kurtosis | 65.97 |
E Automotive 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 EICCF 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.01 | ||
| Day Typical Price | 0.01 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for EICCF Pink Sheet analysis
When running E Automotive's price analysis, check to measure E Automotive'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 E Automotive is operating at the current time. Most of E Automotive's value examination focuses on studying past and present price action to predict the probability of E Automotive's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move E Automotive's price. Additionally, you may evaluate how the addition of E Automotive to your portfolios can decrease your overall portfolio volatility.
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