Aida Pharmaceuticals Stock Market Value
| AIDA Stock | USD 0.0002 0.00 0.00% |
| Symbol | Aida |
Aida Pharmaceuticals '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 Aida Pharmaceuticals' 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 Aida Pharmaceuticals.
| 12/29/2024 |
| 03/29/2025 |
If you would invest 0.00 in Aida Pharmaceuticals on December 29, 2024 and sell it all today you would earn a total of 0.00 from holding Aida Pharmaceuticals or generate 0.0% return on investment in Aida Pharmaceuticals over 90 days. Aida Pharmaceuticals is related to or competes with Assembly Biosciences, Instil Bio, Nuvation Bio, Achilles Therapeutics, and NextCure. Aida Pharmaceuticals, Inc., together with its subsidiaries, engages in the formulation, clinical testing, registration, ... More
Aida Pharmaceuticals 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 Aida Pharmaceuticals' 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 Aida Pharmaceuticals upside and downside potential and time the market with a certain degree of confidence.
Aida Pharmaceuticals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aida Pharmaceuticals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aida Pharmaceuticals' standard deviation. In reality, there are many statistical measures that can use Aida Pharmaceuticals historical prices to predict the future Aida Pharmaceuticals' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aida Pharmaceuticals' 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.
Aida Pharmaceuticals Backtested Returns
We have found three technical indicators for Aida Pharmaceuticals, 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 Aida Pharmaceuticals are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Aida Pharmaceuticals has perfect predictability. Overlapping area represents the amount of predictability between Aida Pharmaceuticals time series from 29th of December 2024 to 12th of February 2025 and 12th of February 2025 to 29th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Aida Pharmaceuticals price movement. The serial correlation of 1.0 indicates that 100.0% of current Aida Pharmaceuticals 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 |
Aida Pharmaceuticals lagged returns against current returns
Autocorrelation, which is Aida Pharmaceuticals 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 Aida Pharmaceuticals' pink sheet expected returns. We can calculate the autocorrelation of Aida Pharmaceuticals returns to help us make a trade decision. For example, suppose you find that Aida Pharmaceuticals 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 |
Aida Pharmaceuticals 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 Aida Pharmaceuticals pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aida Pharmaceuticals pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aida Pharmaceuticals pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Aida Pharmaceuticals Lagged Returns
When evaluating Aida Pharmaceuticals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aida Pharmaceuticals pink sheet have on its future price. Aida Pharmaceuticals 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, Aida Pharmaceuticals autocorrelation shows the relationship between Aida Pharmaceuticals pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Aida Pharmaceuticals.
Regressed Prices |
| Timeline |
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Other Information on Investing in Aida Pink Sheet
Aida Pharmaceuticals financial ratios help investors to determine whether Aida 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 Aida with respect to the benefits of owning Aida Pharmaceuticals security.