Alfi Inc Stock Market Value
| ALFIQ Stock | USD 0.0001 0.00 0.00% |
| Symbol | Alfi |
Alfi '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 Alfi'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 Alfi.
| 12/21/2025 |
| 01/20/2026 |
If you would invest 0.00 in Alfi on December 21, 2025 and sell it all today you would earn a total of 0.00 from holding Alfi Inc or generate 0.0% return on investment in Alfi over 30 days. Alfi, Inc. provides Software as a Service solution for the digital out of home smart advertising segment in the United S... More
Alfi 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 Alfi'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 Alfi Inc upside and downside potential and time the market with a certain degree of confidence.
Alfi Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alfi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alfi's standard deviation. In reality, there are many statistical measures that can use Alfi historical prices to predict the future Alfi's volatility.Alfi Inc Backtested Returns
We have found three technical indicators for Alfi Inc, 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 Alfi are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Alfi Inc has no correlation between past and present. Overlapping area represents the amount of predictability between Alfi time series from 21st of December 2025 to 5th of January 2026 and 5th of January 2026 to 20th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Alfi Inc price movement. The serial correlation of 0.0 indicates that just 0.0% of current Alfi 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 |
Alfi Inc lagged returns against current returns
Autocorrelation, which is Alfi 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 Alfi's pink sheet expected returns. We can calculate the autocorrelation of Alfi returns to help us make a trade decision. For example, suppose you find that Alfi 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 |
Alfi 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 Alfi pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alfi pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alfi pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Alfi Lagged Returns
When evaluating Alfi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alfi pink sheet have on its future price. Alfi 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, Alfi autocorrelation shows the relationship between Alfi pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Alfi Inc.
Regressed Prices |
| Timeline |
Pair Trading with Alfi
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 Alfi 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 Alfi will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Alfi could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alfi 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 Alfi - 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 Alfi Inc to buy it.
The correlation of Alfi 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 Alfi moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alfi Inc 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 Alfi 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 Alfi Pink Sheet Analysis
When running Alfi's price analysis, check to measure Alfi'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 Alfi is operating at the current time. Most of Alfi's value examination focuses on studying past and present price action to predict the probability of Alfi's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alfi's price. Additionally, you may evaluate how the addition of Alfi to your portfolios can decrease your overall portfolio volatility.