Electronic Sensor Technology Stock Market Value
| ESNR Stock | USD 0.0001 0.00 0.00% |
| Symbol | Electronic |
Is Electronic Equipment, Instruments & Components space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Electronic Sensor. If investors know Electronic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Electronic Sensor listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Revenue Per Share 0.008 | Quarterly Revenue Growth (0.64) | Return On Assets (0.72) |
The market value of Electronic Sensor is measured differently than its book value, which is the value of Electronic that is recorded on the company's balance sheet. Investors also form their own opinion of Electronic Sensor's value that differs from its market value or its book value, called intrinsic value, which is Electronic Sensor's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Electronic Sensor's market value can be influenced by many factors that don't directly affect Electronic Sensor's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Electronic Sensor's value and its price as these two are different measures arrived at by different means. Investors typically determine if Electronic Sensor is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Electronic Sensor's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Electronic Sensor '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 Electronic Sensor'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 Electronic Sensor.
| 06/09/2023 |
| 11/30/2024 |
If you would invest 0.00 in Electronic Sensor on June 9, 2023 and sell it all today you would earn a total of 0.00 from holding Electronic Sensor Technology or generate 0.0% return on investment in Electronic Sensor over 540 days. Electronic Sensor is related to or competes with Kraken Robotics, SaverOne 2014, Focus Universal, and Nanalysis Scientific. Electronic Sensor Technology, Inc. develops, manufactures, and sells electronic devices used for vapor analysis More
Electronic Sensor 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 Electronic Sensor'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 Electronic Sensor Technology upside and downside potential and time the market with a certain degree of confidence.
Electronic Sensor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Electronic Sensor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Electronic Sensor's standard deviation. In reality, there are many statistical measures that can use Electronic Sensor historical prices to predict the future Electronic Sensor's volatility.Electronic Sensor Backtested Returns
We have found three technical indicators for Electronic Sensor Technology, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Electronic Sensor are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Electronic Sensor Technology has perfect predictability. Overlapping area represents the amount of predictability between Electronic Sensor time series from 9th of June 2023 to 5th of March 2024 and 5th of March 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Electronic Sensor price movement. The serial correlation of 1.0 indicates that 100.0% of current Electronic Sensor price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Electronic Sensor lagged returns against current returns
Autocorrelation, which is Electronic Sensor 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 Electronic Sensor's stock expected returns. We can calculate the autocorrelation of Electronic Sensor returns to help us make a trade decision. For example, suppose you find that Electronic Sensor 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 |
Electronic Sensor 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 Electronic Sensor stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Electronic Sensor stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Electronic Sensor stock over time.
Current vs Lagged Prices |
| Timeline |
Electronic Sensor Lagged Returns
When evaluating Electronic Sensor's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Electronic Sensor stock have on its future price. Electronic Sensor 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, Electronic Sensor autocorrelation shows the relationship between Electronic Sensor stock current value and its past values and can show if there is a momentum factor associated with investing in Electronic Sensor Technology.
Regressed Prices |
| Timeline |
Pair Trading with Electronic Sensor
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 Electronic Sensor 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 Electronic Sensor will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Electronic Sensor could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Electronic Sensor 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 Electronic Sensor - 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 Electronic Sensor Technology to buy it.
The correlation of Electronic Sensor 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 Electronic Sensor moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Electronic Sensor 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 Electronic Sensor 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.Additional Tools for Electronic Stock Analysis
When running Electronic Sensor's price analysis, check to measure Electronic Sensor'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 Electronic Sensor is operating at the current time. Most of Electronic Sensor's value examination focuses on studying past and present price action to predict the probability of Electronic Sensor's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Electronic Sensor's price. Additionally, you may evaluate how the addition of Electronic Sensor to your portfolios can decrease your overall portfolio volatility.