Ilearningengines, Stock Price on September 23, 2024
| AILEW Stock | 0.06 0.01 15.38% |
If you're considering investing in ILearningEngines, Stock, it is important to understand the factors that can impact its price. As of today, the current price of ILearningEngines, stands at 0.06, as last reported on the 20th of December, with the highest price reaching 0.08 and the lowest price hitting 0.06 during the day. ILearningEngines, appears to be out of control, given 3 months investment horizon. iLearningEngines, holds Efficiency (Sharpe) Ratio of 0.0308, which attests that the entity had a 0.0308% return per unit of risk over the last 3 months. By examining ILearningEngines,'s technical indicators, you can evaluate if the expected return of 0.71% is justified by implied risk. Please utilize ILearningEngines,'s Market Risk Adjusted Performance of 0.2265, downside deviation of 22.5, and Risk Adjusted Performance of 0.0505 to validate if our risk estimates are consistent with your expectations.
At this time, ILearningEngines,'s Liabilities And Stockholders Equity is fairly stable compared to the past year. Stock Based Compensation To Revenue is likely to climb to 0.0003 in 2024, whereas Total Stockholder Equity is likely to drop slightly above 21.1 M in 2024. . At this time, ILearningEngines,'s Price To Sales Ratio is fairly stable compared to the past year. Price Earnings To Growth Ratio is likely to climb to 2.00 in 2024, whereas Price Book Value Ratio is likely to drop 40.59 in 2024. ILearningEngines, Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
ILearningEngines, |
Sharpe Ratio = 0.0308
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Estimated Market Risk
| 23.08 actual daily | 96 96% of assets are less volatile |
Expected Return
| 0.71 actual daily | 14 86% of assets have higher returns |
Risk-Adjusted Return
| 0.03 actual daily | 2 98% of assets perform better |
Based on monthly moving average ILearningEngines, is performing at about 2% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of ILearningEngines, by adding it to a well-diversified portfolio.
ILearningEngines, Valuation on September 23, 2024
It is possible to determine the worth of ILearningEngines, on a given historical date. On September 23, 2024 ILearningEngines, was worth 0.2 at the beginning of the trading date compared to the closed value of 0.21. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of ILearningEngines, stock. Still, in general, we apply an absolute valuation method to find ILearningEngines,'s value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of ILearningEngines, where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against ILearningEngines,'s related companies.
| Open | High | Low | Close | Volume | |
| 0.20 | 0.20 | 0.18 | 0.19 | 88,555 | |
09/23/2024 | 0.20 | 0.23 | 0.19 | 0.21 | 10,166 |
| 0.25 | 0.25 | 0.21 | 0.24 | 28,716 |
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ILearningEngines, Trading Date Momentum on September 23, 2024
| On September 24 2024 iLearningEngines, was traded for 0.24 at the closing time. The highest daily price throughout the period was 0.25 and the lowest price was 0.21 . The daily volume was 28.7 K. The net trading volume on 09/24/2024 added to the next day price increase. The overall trading delta to closing price of the next trading day was 14.29% . The trading date delta to current closing price is 28.57% . |
iLearningEngines, Fundamentals Correlations and Trends
By evaluating ILearningEngines,'s financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among ILearningEngines,'s main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. ILearningEngines, financial account trend analysis is a perfect complement when working with valuation or volatility modules.About ILearningEngines, Stock history
ILearningEngines, investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for ILearningEngines, is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in iLearningEngines, will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing ILearningEngines, stock prices may prove useful in developing a viable investing in ILearningEngines,
| Last Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 95.8 M | 53.3 M |
ILearningEngines, Stock Technical Analysis
ILearningEngines, technical 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, stock market cycles, or different charting patterns.
Price Boundaries
ILearningEngines, Period Price Range
Low | December 20, 2024
| High |
0.00 | 0.00 |
iLearningEngines, cannot be verified against its exchange. Please verify the symbol is currently traded on NASDAQ Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
ILearningEngines, December 20, 2024 Market Strength
Market strength indicators help investors to evaluate how ILearningEngines, stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading ILearningEngines, shares will generate the highest return on investment. By undertsting and applying ILearningEngines, stock market strength indicators, traders can identify iLearningEngines, entry and exit signals to maximize returns
ILearningEngines, Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for ILearningEngines,'s price direction in advance. Along with the technical and fundamental analysis of ILearningEngines, Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of ILearningEngines, to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0505 | |||
| Jensen Alpha | 1.02 | |||
| Total Risk Alpha | 0.4811 | |||
| Sortino Ratio | 0.0497 | |||
| Treynor Ratio | 0.2165 |
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Additional Tools for ILearningEngines, Stock Analysis
When running ILearningEngines,'s price analysis, check to measure ILearningEngines,'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 ILearningEngines, is operating at the current time. Most of ILearningEngines,'s value examination focuses on studying past and present price action to predict the probability of ILearningEngines,'s future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ILearningEngines,'s price. Additionally, you may evaluate how the addition of ILearningEngines, to your portfolios can decrease your overall portfolio volatility.