Alfi Stock Market Value

ALF
 Stock
  

USD 1.38  0.01  0.72%   

Alfi's market value is the price at which a share of Alfi stock trades on a public exchange. It measures the collective expectations of Alfi Inc investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of Alfi Inc and determine expected loss or profit from investing in Alfi over a given investment horizon. Please continue to Alfi Correlation, Alfi Volatility and Alfi Alpha and Beta module to complement your research on Alfi.
Symbol


Is Alfi's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Alfi. If investors know Alfi will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Alfi listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Market Capitalization
22.4 M
Quarterly Revenue Growth YOY
137.14
Return On Assets
-0.98
Return On Equity
-2.11
The market value of Alfi Inc is measured differently than its book value, which is the value of Alfi that is recorded on the company's balance sheet. Investors also form their own opinion of Alfi's value that differs from its market value or its book value, called intrinsic value, which is Alfi's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Alfi's market value can be influenced by many factors that don't directly affect Alfi's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Alfi's value and its price as these two are different measures arrived at by different means. Investors typically determine Alfi value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alfi's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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 stock 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.
0.00
07/20/2022
No Change 0.00  0.0 
In 31 days
08/19/2022
0.00
If you would invest  0.00  in Alfi on July 20, 2022 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 stock 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Alfi'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. Please use the tools below to analyze the current value of Alfi in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.071.365.44
Details
Intrinsic
Valuation
LowReal ValueHigh
0.061.115.19
Details
Naive
Forecast
LowNext ValueHigh
0.0275151.385.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.231.361.48
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Alfi. Your research has to be compared to or analyzed against Alfi's peers to derive any actionable benefits. When done correctly, Alfi's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Alfi Inc.

Alfi Inc Backtested Returns

Alfi appears to be dangerous, given 3 months investment horizon. Alfi Inc secures Sharpe Ratio (or Efficiency) of 0.0883, which signifies that the company had 0.0883% of return per unit of standard deviation over the last 3 months. Our philosophy in foreseeing the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for Alfi Inc, which you can use to evaluate the future volatility of the firm. Please makes use of Alfi's mean deviation of 3.02, and Risk Adjusted Performance of 0.0586 to double-check if our risk estimates are consistent with your expectations.
On a scale of 0 to 100, Alfi holds a performance score of 6. The firm shows a Beta (market volatility) of 0.4154, which signifies possible diversification benefits within a given portfolio. Let's try to break down what Alfi's beta means in this case. As returns on the market increase, Alfi returns are expected to increase less than the market. However, during the bear market, the loss on holding Alfi will be expected to be smaller as well. Although it is vital to follow Alfi Inc historical returns, it is good to be conservative about what you can do with the information regarding equity current trending patterns. The philosophy in foreseeing future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By analyzing Alfi Inc technical indicators, you can presently evaluate if the expected return of 0.36% will be sustainable into the future. Please makes use of Alfi Inc downside deviation, treynor ratio, expected short fall, as well as the relationship between the variance and potential upside to make a quick decision on whether Alfi price patterns will revert.

Auto-correlation

    
  -0.7  

Very good reverse predictability

Alfi Inc has very good reverse predictability. Overlapping area represents the amount of predictability between Alfi time series from 20th of July 2022 to 4th of August 2022 and 4th of August 2022 to 19th of August 2022. 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 -0.7 indicates that around 70.0% of current Alfi price fluctuation can be explain by its past prices.
Correlation Coefficient-0.7
Spearman Rank Test0.07
Residual Average0.0
Price Variance0.0

Alfi Inc lagged returns against current returns

Autocorrelation, which is Alfi stock'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 stock expected returns. We can calculate the autocorrelation of Alfi returns to help us make a trade decision. For example, suppose you find that Alfi stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
   Current and Lagged Values   
Share
       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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alfi stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alfi stock over time.
   Current vs Lagged Prices   
Share
       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 stock 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 stock current value and its past values and can show if there is a momentum factor associated with investing in Alfi Inc.
   Regressed Prices   
Share
       Timeline  

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alfi in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alfi's short interest history, or implied volatility extrapolated from Alfi options trading.
Please continue to Alfi Correlation, Alfi Volatility and Alfi Alpha and Beta module to complement your research on Alfi. Note that the Alfi Inc information on this page should be used as a complementary analysis to other Alfi's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

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When running Alfi Inc 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 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.
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Alfi technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Alfi technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Alfi trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...