iLearningEngines, Market Value
| AILEWDelisted Stock | 0.01 0.01 50.00% |
| Symbol | ILearningEngines, |
ILearningEngines, '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 ILearningEngines,'s 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 ILearningEngines,.
| 12/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in ILearningEngines, on December 9, 2024 and sell it all today you would earn a total of 0.00 from holding iLearningEngines, or generate 0.0% return on investment in ILearningEngines, over 30 days. ILearningEngines, is related to or competes with Skechers USA, Lincoln Electric, Playa Hotels, Marine Products, Academy Sports, and Mattel. More
ILearningEngines, 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 ILearningEngines,'s 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 iLearningEngines, upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 32.29 | |||
| Information Ratio | 0.1118 | |||
| Maximum Drawdown | 1091.76 | |||
| Value At Risk | (45.83) | |||
| Potential Upside | 66.67 |
ILearningEngines, Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ILearningEngines,'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ILearningEngines,'s standard deviation. In reality, there are many statistical measures that can use ILearningEngines, historical prices to predict the future ILearningEngines,'s volatility.| Risk Adjusted Performance | 0.1 | |||
| Jensen Alpha | 14.92 | |||
| Total Risk Alpha | 15.02 | |||
| Sortino Ratio | 0.4621 | |||
| Treynor Ratio | (1.32) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ILearningEngines,'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.
iLearningEngines, Backtested Returns
ILearningEngines, is out of control given 3 months investment horizon. iLearningEngines, holds Efficiency (Sharpe) Ratio of 0.12, which attests that the entity had a 0.12% return per unit of risk over the last 3 months. We were able to analyze and collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 17.19% are justified by taking the suggested risk. Use iLearningEngines, Risk Adjusted Performance of 0.1, market risk adjusted performance of (1.31), and Downside Deviation of 32.29 to evaluate company specific risk that cannot be diversified away. ILearningEngines, holds a performance score of 9 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of -11.35, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning ILearningEngines, are expected to decrease by larger amounts. On the other hand, during market turmoil, ILearningEngines, is expected to outperform it. Use iLearningEngines, standard deviation, expected short fall, period momentum indicator, as well as the relationship between the maximum drawdown and rate of daily change , to analyze future returns on iLearningEngines,.
Auto-correlation | -0.28 |
Weak reverse predictability
iLearningEngines, has weak reverse predictability. Overlapping area represents the amount of predictability between ILearningEngines, time series from 9th of December 2024 to 24th of December 2024 and 24th of December 2024 to 8th of January 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 iLearningEngines, price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current ILearningEngines, price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
iLearningEngines, lagged returns against current returns
Autocorrelation, which is ILearningEngines, stock'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 ILearningEngines,'s stock expected returns. We can calculate the autocorrelation of ILearningEngines, returns to help us make a trade decision. For example, suppose you find that ILearningEngines, has exhibited high autocorrelation historically, and you observe that the stock 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 |
ILearningEngines, 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 ILearningEngines, stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ILearningEngines, stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ILearningEngines, stock over time.
Current vs Lagged Prices |
| Timeline |
ILearningEngines, Lagged Returns
When evaluating ILearningEngines,'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ILearningEngines, stock have on its future price. ILearningEngines, 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, ILearningEngines, autocorrelation shows the relationship between ILearningEngines, stock current value and its past values and can show if there is a momentum factor associated with investing in iLearningEngines,.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| BTC | Bitcoin | |
| TRX | TRON | |
| BNB | Binance Coin |
Check out ILearningEngines, Correlation, ILearningEngines, Volatility and ILearningEngines, Alpha and Beta module to complement your research on ILearningEngines,. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Other Consideration for investing in ILearningEngines, Stock
If you are still planning to invest in iLearningEngines, check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the ILearningEngines,'s history and understand the potential risks before investing.
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