E Automotive Stock Market Value
| EICCF Stock | USD 0.01 0.14 93.33% |
| Symbol | EICCF |
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.
| 11/29/2025 |
| 12/29/2025 |
If you would invest 0.00 in E Automotive on November 29, 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 30 days. E Automotive is related to or competes with Luxxfolio Holdings, Omniq Corp, and Xy Labs. 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 | 0.0972 | |||
| Jensen Alpha | 450.52 | |||
| Total Risk Alpha | 63.02 | |||
| 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 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 twenty different technical indicators, which can help you to evaluate if expected returns of 20.42% are justified by taking the suggested risk. Use E Automotive Variance of 1.354390495E7, standard deviation of 3680.2, and Market Risk Adjusted Performance of 4.83 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, skewness, price action indicator, as well as the relationship between the information ratio and rate of daily change , to analyze future returns on E Automotive.
Auto-correlation | -0.83 |
Excellent reverse predictability
E Automotive has excellent reverse predictability. Overlapping area represents the amount of predictability between E Automotive time series from 29th of November 2025 to 14th of December 2025 and 14th of December 2025 to 29th of December 2025. 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 -0.83 indicates that around 83.0% of current E Automotive price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.83 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
E Automotive lagged returns against current returns
Autocorrelation, which is E Automotive pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting E Automotive's pink sheet expected returns. We can calculate the autocorrelation of E Automotive returns to help us make a trade decision. For example, suppose you find that E Automotive has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
E Automotive regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If E Automotive pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if E Automotive pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in E Automotive pink sheet over time.
Current vs Lagged Prices |
| Timeline |
E Automotive Lagged Returns
When evaluating E Automotive's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of E Automotive pink sheet have on its future price. E Automotive autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, E Automotive autocorrelation shows the relationship between E Automotive pink sheet current value and its past values and can show if there is a momentum factor associated with investing in E Automotive.
Regressed Prices |
| Timeline |
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Other Information on Investing in EICCF Pink Sheet
E Automotive financial ratios help investors to determine whether EICCF Pink Sheet 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 EICCF with respect to the benefits of owning E Automotive security.