Affluence Stock Market Value
| AFFU Stock | USD 0.0001 0.0001 50.00% |
| Symbol | Affluence |
Affluence '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 Affluence'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 Affluence.
| 01/04/2024 |
| 12/24/2025 |
If you would invest 0.00 in Affluence on January 4, 2024 and sell it all today you would earn a total of 0.00 from holding Affluence or generate 0.0% return on investment in Affluence over 720 days. Affluence Corporation operates an online private social network worldwide More
Affluence 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 Affluence'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 Affluence upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 64.55 | |||
| Information Ratio | 0.1333 | |||
| Maximum Drawdown | 1050.0 | |||
| Value At Risk | (50.00) | |||
| Potential Upside | 100.0 |
Affluence Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Affluence's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Affluence's standard deviation. In reality, there are many statistical measures that can use Affluence historical prices to predict the future Affluence's volatility.| Risk Adjusted Performance | 0.1038 | |||
| Jensen Alpha | 17.06 | |||
| Total Risk Alpha | 6.6 | |||
| Sortino Ratio | 0.2694 | |||
| Treynor Ratio | 2.62 |
Affluence Backtested Returns
Affluence is out of control given 3 months investment horizon. Affluence secures Sharpe Ratio (or Efficiency) of 0.13, which signifies that the company had a 0.13 % return per unit of standard deviation over the last 3 months. We were able to analyze and collect data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 17.46% are justified by taking the suggested risk. Use Affluence mean deviation of 44.29, and Risk Adjusted Performance of 0.1038 to evaluate company specific risk that cannot be diversified away. Affluence holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 6.66, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Affluence will likely underperform. Use Affluence standard deviation, expected short fall, period momentum indicator, as well as the relationship between the maximum drawdown and rate of daily change , to analyze future returns on Affluence.
Auto-correlation | 0.29 |
Poor predictability
Affluence has poor predictability. Overlapping area represents the amount of predictability between Affluence time series from 4th of January 2024 to 29th of December 2024 and 29th of December 2024 to 24th of December 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 Affluence price movement. The serial correlation of 0.29 indicates that nearly 29.0% of current Affluence price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.29 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Affluence lagged returns against current returns
Autocorrelation, which is Affluence 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 Affluence's pink sheet expected returns. We can calculate the autocorrelation of Affluence returns to help us make a trade decision. For example, suppose you find that Affluence 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 |
Affluence 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 Affluence pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Affluence pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Affluence pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Affluence Lagged Returns
When evaluating Affluence's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Affluence pink sheet have on its future price. Affluence 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, Affluence autocorrelation shows the relationship between Affluence pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Affluence.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Affluence Pink Sheet Analysis
When running Affluence's price analysis, check to measure Affluence'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 Affluence is operating at the current time. Most of Affluence's value examination focuses on studying past and present price action to predict the probability of Affluence's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Affluence's price. Additionally, you may evaluate how the addition of Affluence to your portfolios can decrease your overall portfolio volatility.