Electric Last OTC Stock Forecast - Naive Prediction
| ELMWQDelisted Stock | 0.0001 0.00 0.00% |
The Naive Prediction forecasted value of Electric Last Mile on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Electric OTC Stock Forecast is based on your current time horizon.
Electric |
Electric Last Naive Prediction Price Forecast For the 4th of December
Given 90 days horizon, the Naive Prediction forecasted value of Electric Last Mile on the next trading day is expected to be 0.0001 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.Please note that although there have been many attempts to predict Electric OTC Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Electric Last's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Electric Last OTC Stock Forecast Pattern
| Backtest Electric Last | Electric Last Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Electric Last otc stock data series using in forecasting. Note that when a statistical model is used to represent Electric Last otc stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 0.0171 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 0.0 |
| SAE | Sum of the absolute errors | 0.0 |
Predictive Modules for Electric Last
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electric Last Mile. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Electric Last'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.
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 |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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.
| Share Portfolio Track or share privately all of your investments from the convenience of any device | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities |