Atlantic Wind Solar Stock Market Value
| AWSL Stock | USD 0.03 0.0002 0.66% |
| Symbol | Atlantic |
Atlantic Wind '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 Atlantic Wind'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 Atlantic Wind.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Atlantic Wind on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Atlantic Wind Solar or generate 0.0% return on investment in Atlantic Wind over 30 days. Atlantic Wind is related to or competes with SolarWindow Technologies, Enlight Renewable, and Fluence Energy. Atlantic Power Infrastructure Corp. generates and sells renewable electricity through solar and waste sources More
Atlantic Wind 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 Atlantic Wind'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 Atlantic Wind Solar upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 46.21 | |||
| Value At Risk | (12.94) | |||
| Potential Upside | 13.21 |
Atlantic Wind Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Atlantic Wind's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Atlantic Wind's standard deviation. In reality, there are many statistical measures that can use Atlantic Wind historical prices to predict the future Atlantic Wind's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (1.75) | |||
| Treynor Ratio | 0.9109 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Atlantic Wind'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.
Atlantic Wind Solar Backtested Returns
Atlantic Wind Solar secures Sharpe Ratio (or Efficiency) of -0.0601, which signifies that the company had a -0.0601% return per unit of risk over the last 3 months. Atlantic Wind Solar exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Atlantic Wind's Risk Adjusted Performance of (0.04), mean deviation of 4.77, and Standard Deviation of 7.73 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.51, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Atlantic Wind are expected to decrease at a much lower rate. During the bear market, Atlantic Wind is likely to outperform the market. At this point, Atlantic Wind Solar has a negative expected return of -0.47%. Please make sure to confirm Atlantic Wind's standard deviation, treynor ratio, as well as the relationship between the Treynor Ratio and rate of daily change , to decide if Atlantic Wind Solar performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.60 |
Good predictability
Atlantic Wind Solar has good predictability. Overlapping area represents the amount of predictability between Atlantic Wind time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 Atlantic Wind Solar price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Atlantic Wind price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Atlantic Wind Solar lagged returns against current returns
Autocorrelation, which is Atlantic Wind 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 Atlantic Wind's pink sheet expected returns. We can calculate the autocorrelation of Atlantic Wind returns to help us make a trade decision. For example, suppose you find that Atlantic Wind 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 |
Atlantic Wind 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 Atlantic Wind pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Atlantic Wind pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Atlantic Wind pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Atlantic Wind Lagged Returns
When evaluating Atlantic Wind's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Atlantic Wind pink sheet have on its future price. Atlantic Wind 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, Atlantic Wind autocorrelation shows the relationship between Atlantic Wind pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Atlantic Wind Solar.
Regressed Prices |
| Timeline |
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Atlantic Wind financial ratios help investors to determine whether Atlantic Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Atlantic with respect to the benefits of owning Atlantic Wind security.