AC Milan Market Value


USD 4.16  0.52  11.11%   

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

Please note, there is a significant difference between AC Milan's coin value and its market price as these two are different measures arrived at by different means. Cryptocurrency investors typically determine AC Milan value by looking at such factors as its true mass adoption, usability, application, safety as well as its ability to resist fraud and manipulation. On the other hand, AC Milan's price is the amount at which it trades on the cryptocurrency exchange or other digital marketplace that truly represents its supply and demand.

AC Milan '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 AC Milan's crypto coin 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 AC Milan.
No Change 0.00  0.0 
In 31 days
If you would invest  0.00  in AC Milan on July 20, 2022 and sell it all today you would earn a total of 0.00 from holding AC Milan Fan or generate 0.0% return on investment in AC Milan over 30 days. AC Milan is related to or competes with XRP, Solana, Avalanche, Polkadot, FTX Token, Polygon, and Uniswap Protocol. AC Milan Fan Token is peer-to-peer digital currency powered by the Blockchain technology.

AC Milan 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 AC Milan's crypto coin 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 AC Milan Fan upside and downside potential and time the market with a certain degree of confidence.

AC Milan Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for AC Milan's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AC Milan's standard deviation. In reality, there are many statistical measures that can use AC Milan historical prices to predict the future AC Milan's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of AC Milan'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 AC Milan in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
LowNext ValueHigh
Band Projection (param)
LowerMiddle BandUpper
Please note, it is not enough to conduct a financial or market analysis of a single entity such as AC Milan. Your research has to be compared to or analyzed against AC Milan's peers to derive any actionable benefits. When done correctly, AC Milan'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 AC Milan Fan.

AC Milan Fan Backtested Returns

AC Milan appears to be unusually volatile, given 3 months investment horizon. AC Milan Fan retains Efficiency (Sharpe Ratio) of 0.0599, which signifies that digital coin had 0.0599% of return per unit of price deviation over the last 3 months. Our outlook to foreseeing the volatility of a crypto is to use all available market data together with crypto-specific technical indicators that cannot be diversified away. We have found twenty-one technical indicators for AC Milan, which you can use to evaluate the future volatility of coin. Please makes use of AC Milan's Coefficient Of Variation of 2316.84, market risk adjusted performance of 6.62, and Standard Deviation of 8.25 to double-check if our risk estimates are consistent with your expectations.
The entity owns a Beta (Systematic Risk) of 0.0524, which signifies not very significant fluctuations relative to the market. Let's try to break down what AC Milan's beta means in this case. As returns on the market increase, AC Milan returns are expected to increase less than the market. However, during the bear market, the loss on holding AC Milan will be expected to be smaller as well. Although it is vital to follow AC Milan Fan existing price patterns, it is good to be conservative about what you can do with the information regarding equity price patterns. The way in which we are foreseeing future performance of any crypto is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By evaluating AC Milan Fan technical indicators, you can at this moment evaluate if the expected return of 0.41% will be sustainable into the future.



Good predictability

AC Milan Fan has good predictability. Overlapping area represents the amount of predictability between AC Milan 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 AC Milan Fan price movement. The serial correlation of 0.66 indicates that around 66.0% of current AC Milan price fluctuation can be explain by its past prices.
Correlation Coefficient0.66
Spearman Rank Test0.83
Residual Average0.0
Price Variance0.06

AC Milan Fan lagged returns against current returns

Autocorrelation, which is AC Milan crypto coin'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 AC Milan's crypto coin expected returns. We can calculate the autocorrelation of AC Milan returns to help us make a trade decision. For example, suppose you find that AC Milan crypto coin 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   

AC Milan 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 AC Milan crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AC Milan crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AC Milan crypto coin over time.
   Current vs Lagged Prices   

AC Milan Lagged Returns

When evaluating AC Milan's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AC Milan crypto coin have on its future price. AC Milan 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, AC Milan autocorrelation shows the relationship between AC Milan crypto coin current value and its past values and can show if there is a momentum factor associated with investing in AC Milan Fan.
   Regressed Prices   

Some cryptocurrency investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. However, unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards AC Milan in the overall investment community. So, suppose investors can accurately measure the crypto's market sentiment. In that case, they can use it for their benefit. For example, some tools provided by cryptocurrency exchanges to gauge market sentiment could be utilized to time the market in a somewhat predictable way.

Pair Trading with AC Milan

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 AC Milan 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 AC Milan will appreciate offsetting losses from the drop in the long position's value.

Moving together with AC Milan

The ability to find closely correlated positions to AC Milan could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace AC Milan 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 AC Milan - 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 AC Milan Fan to buy it.
The correlation of AC Milan is a statistical measure of how it moves in relation to other equities. 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 AC Milan moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if AC Milan Fan 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 AC Milan 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.
Pair CorrelationCorrelation Matching
Please continue to AC Milan Correlation, AC Milan Volatility and Investing Opportunities module to complement your research on AC Milan. Note that the AC Milan Fan information on this page should be used as a complementary analysis to other AC Milan'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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

Other Tools for AC Milan Crypto Coin

When running AC Milan Fan price analysis, check to measure AC Milan's coin volatility and technical momentum indicators. We have many different tools that can be utilized to determine how healthy AC Milan is operating at the current time. Most of AC Milan's value examination focuses on studying past and present price actions to predict the probability of AC Milan's future price movements. You can analyze the coin against its peers and the financial market as a whole to determine factors that move AC Milan's coin price. Additionally, you may evaluate how adding AC Milan to your portfolios can decrease your overall portfolio volatility.
Bollinger Bands
Use Bollinger Bands indicator to analyze target price for a given investing horizon
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Global Correlations
Find global opportunities by holding instruments from different markets
Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope