Electric Last OTC Stock Forecast - Price Action Indicator
| ELMWQDelisted Stock | 0.0001 0.00 0.00% |
Electric OTC Stock Forecast is based on your current time horizon.
Electric |
| Check Electric Last Volatility | Backtest Electric Last | Information Ratio |
Electric Last Trading Date Momentum
| On November 29 2024 Electric Last Mile was traded for 0.0001 at the closing time. The highest daily price throughout the period was 0.0001 and the lowest price was 0.0001 . There was no trading activity during the period 0.0. Lack of trading volume on 11/29/2024 did not affect price variability. The overall trading delta to current closing price is 0.00% . |
Price Action Indicator (or PAIN) was developed by Michael B. Geraty and published in 'Futures' magazine in August 1997.
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Electric Last Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Electric Last otc stock to make a market-neutral strategy. Peer analysis of Electric Last could also be used in its relative valuation, which is a method of valuing Electric Last by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Electric Last Market Strength Events
Market strength indicators help investors to evaluate how Electric Last otc stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Electric Last shares will generate the highest return on investment. By undertsting and applying Electric Last otc stock market strength indicators, traders can identify Electric Last Mile entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
Electric Last Risk Indicators
The analysis of Electric Last's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Electric Last's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting electric otc stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 2.04 | |||
| Standard Deviation | 7.22 | |||
| Variance | 52.08 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Pair Trading with Electric Last
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Electric Last position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Electric Last will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Electric Last could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Electric Last when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Electric Last - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Electric Last Mile to buy it.
The correlation of Electric Last is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Electric Last moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Electric Last Mile moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Electric Last can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any otc stock could be closely tied with the direction of predictive economic indicators such as signals in housing. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
Other Consideration for investing in Electric OTC Stock
If you are still planning to invest in Electric Last Mile 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 Electric Last's history and understand the potential risks before investing.
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