Electric Car Stock Forecast - Naive Prediction

ELCR Stock  USD 0.0001  0.00  0.00%   
Electric Stock outlook is based on your current time horizon. Although Electric Car's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Electric Car's systematic risk associated with finding meaningful patterns of Electric Car fundamentals over time.
As of today the relative strength index (rsi) of Electric Car's share price is below 20 suggesting that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Electric Car's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Electric Car and does not consider all of the tangible or intangible factors available from Electric Car's fundamental data. We analyze noise-free headlines and recent hype associated with Electric Car, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Electric Car's stock price prediction:
Quarterly Revenue Growth
(0.35)
Using Electric Car hype-based prediction, you can estimate the value of Electric Car from the perspective of Electric Car response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Electric Car 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 Car after-hype prediction price

    
  USD 1.0E-4  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Electric Car to cross-verify your projections.
To learn how to invest in Electric Stock, please use our How to Invest in Electric Car guide.

Electric Car Additional Predictive Modules

Most predictive techniques to examine Electric price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Electric using various technical indicators. When you analyze Electric charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Electric Car Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Electric Car's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2010-12-31
Previous Quarter
52.5 K
Current Value
55.2 K
Quarterly Volatility
11.6 K
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
A naive forecasting model for Electric Car is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Electric Car value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Electric Car Naive Prediction Price Forecast For the 29th of January

Given 90 days horizon, the Naive Prediction forecasted value of Electric Car 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 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 Car's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Electric Car Stock Forecast Pattern

Backtest Electric Car  Electric Car Price Prediction  Buy or Sell Advice  

Electric Car Forecasted Value

In the context of forecasting Electric Car's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Electric Car's downside and upside margins for the forecasting period are 0.0001 and 0.0001, respectively. We have considered Electric Car's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.0001
0.0001
Downside
0.0001
Expected Value
0.0001
Upside

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 Car stock data series using in forecasting. Note that when a statistical model is used to represent Electric Car 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.
AICAkaike Information Criteria30.385
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of Electric Car. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Electric Car. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Electric Car

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 Car. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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 Car'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.
Hype
Prediction
LowEstimatedHigh
0.000.00010.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.0000840.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00010.00010.0001
Details

Electric Car After-Hype Price Density Analysis

As far as predicting the price of Electric Car at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Electric Car or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Electric Car, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Electric Car Estimiated After-Hype Price Volatility

In the context of predicting Electric Car's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Electric Car's historical news coverage. Electric Car's after-hype downside and upside margins for the prediction period are 0.00 and 0.00, respectively. We have considered Electric Car's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
0.0001
0.0001
After-hype Price
0.00
Upside
Electric Car is very steady at this time. Analysis and calculation of next after-hype price of Electric Car is based on 3 months time horizon.

Electric Car Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as Electric Car is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Electric Car backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Electric Car, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
 0.00  
0.00
 0.00  
 0.00  
9 Events / Month
1 Events / Month
In about 9 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.0001
0.0001
0.00 
0.00  
Notes

Electric Car Hype Timeline

Electric Car is currently traded for 0.0001. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Electric is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.0%. %. The volatility of related hype on Electric Car is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company recorded a loss per share of 0.02. Electric Car had not issued any dividends in recent years. The entity had 7:1 split on the 2nd of July 2009. Given the investment horizon of 90 days the next forecasted press release will be in about 9 days.
Check out Historical Fundamental Analysis of Electric Car to cross-verify your projections.
To learn how to invest in Electric Stock, please use our How to Invest in Electric Car guide.

Electric Car Related Hype Analysis

Having access to credible news sources related to Electric Car's direct competition is more important than ever and may enhance your ability to predict Electric Car's future price movements. Getting to know how Electric Car's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Electric Car may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
RONNRONN Inc 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
RWGIRodedawg International Industries 0.00 0 per month 13.72  0.13  77.78 (26.26) 2,706 
CDNOConsolidated Capital of(0)3 per month 14.16  0.11  50.00 (25.00) 257.58 
BLFRBluefire(0.02)1 per month 0.00  0.14  4.06  0.00  372.00 
GTLAGt Legend Automotive 0.00 1 per month 0.00  0.00  0.00  0.00  0.00 
ELEKChina Xuefeng Environmental 0.00 0 per month 16.26  0.13  95.12 (50.00) 150.00 
MWWCMarketing Worldwide 0.00 0 per month 9.99  0.13  33.33 (25.00) 440.00 
LMPXLmp Automotive Holdings 0.00 0 per month 10.34  0.07  16.00 (11.76) 75.17 
SKFGStark Focus Group 0.00 0 per month 9.51  0.13  34.48 (19.67) 94.62 
MCOMMicromobility 0.00 1 per month 15.97  0.15  40.00 (33.33) 144.44 

Other Forecasting Options for Electric Car

For every potential investor in Electric, whether a beginner or expert, Electric Car's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Electric Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Electric. Basic forecasting techniques help filter out the noise by identifying Electric Car's price trends.

Electric Car 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 Car stock to make a market-neutral strategy. Peer analysis of Electric Car could also be used in its relative valuation, which is a method of valuing Electric Car by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Electric Car Market Strength Events

Market strength indicators help investors to evaluate how Electric Car 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 Car shares will generate the highest return on investment. By undertsting and applying Electric Car stock market strength indicators, traders can identify Electric Car entry and exit signals to maximize returns.

Story Coverage note for Electric Car

The number of cover stories for Electric Car depends on current market conditions and Electric Car's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Electric Car is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Electric Car's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Additional Tools for Electric Stock Analysis

When running Electric Car's price analysis, check to measure Electric Car'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 Electric Car is operating at the current time. Most of Electric Car's value examination focuses on studying past and present price action to predict the probability of Electric Car's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Electric Car's price. Additionally, you may evaluate how the addition of Electric Car to your portfolios can decrease your overall portfolio volatility.