Arista Power Stock Market Value
| ASPW Stock | USD 0.0001 0.00 0.00% |
| Symbol | Arista |
Arista Power '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 Arista Power's pink sheet 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 Arista Power.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Arista Power on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Arista Power or generate 0.0% return on investment in Arista Power over 30 days. Arista Power is related to or competes with Aumann AG, Alfa Laval, Atlas Copco, and Amaero International. Arista Power, Inc. develops, supply, and integrates custom-designed power management systems, renewable energy storage s... More
Arista Power 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 Arista Power's pink sheet 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 Arista Power upside and downside potential and time the market with a certain degree of confidence.
Arista Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Arista Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Arista Power's standard deviation. In reality, there are many statistical measures that can use Arista Power historical prices to predict the future Arista Power's volatility.Arista Power Backtested Returns
We have found three technical indicators for Arista Power, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and Arista Power are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Arista Power has no correlation between past and present. Overlapping area represents the amount of predictability between Arista Power time series from 31st of October 2024 to 15th of November 2024 and 15th of November 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 Arista Power price movement. The serial correlation of 0.0 indicates that just 0.0% of current Arista Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Arista Power lagged returns against current returns
Autocorrelation, which is Arista Power pink sheet'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 Arista Power's pink sheet expected returns. We can calculate the autocorrelation of Arista Power returns to help us make a trade decision. For example, suppose you find that Arista Power has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Arista Power 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 Arista Power pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Arista Power pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Arista Power pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Arista Power Lagged Returns
When evaluating Arista Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Arista Power pink sheet have on its future price. Arista Power 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, Arista Power autocorrelation shows the relationship between Arista Power pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Arista Power.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for Arista Pink Sheet Analysis
When running Arista Power's price analysis, check to measure Arista Power'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 Arista Power is operating at the current time. Most of Arista Power's value examination focuses on studying past and present price action to predict the probability of Arista Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Arista Power's price. Additionally, you may evaluate how the addition of Arista Power to your portfolios can decrease your overall portfolio volatility.