Fly Play's market value is the price at which a share of Fly Play trades on a public exchange. It measures the collective expectations of Fly Play hf investors about its performance. Fly Play is trading at 0.65 as of the 15th of March 2025, a 1.56% up since the beginning of the trading day. The stock's open price was 0.64. With this module, you can estimate the performance of a buy and hold strategy of Fly Play hf and determine expected loss or profit from investing in Fly Play over a given investment horizon. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Fly
Fly Play '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 Fly Play'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 Fly Play.
0.00
12/15/2024
No Change 0.00
0.0
In 3 months and 1 day
03/15/2025
0.00
If you would invest 0.00 in Fly Play on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Fly Play hf or generate 0.0% return on investment in Fly Play over 90 days.
Fly Play 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 Fly Play'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 Fly Play hf upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fly Play's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fly Play's standard deviation. In reality, there are many statistical measures that can use Fly Play historical prices to predict the future Fly Play's volatility.
Fly Play hf secures Sharpe Ratio (or Efficiency) of -0.18, which denotes the company had a -0.18 % return per unit of risk over the last 3 months. Fly Play hf exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fly Play's Variance of 14.13, mean deviation of 2.47, and Standard Deviation of 3.76 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.72, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fly Play's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fly Play is expected to be smaller as well. At this point, Fly Play hf has a negative expected return of -0.69%. Please make sure to confirm Fly Play's accumulation distribution, rate of daily change, and the relationship between the kurtosis and daily balance of power , to decide if Fly Play hf performance from the past will be repeated at some point in the near future.
Auto-correlation
-0.84
Excellent reverse predictability
Fly Play hf has excellent reverse predictability. Overlapping area represents the amount of predictability between Fly Play time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 Fly Play hf price movement. The serial correlation of -0.84 indicates that around 84.0% of current Fly Play price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.84
Spearman Rank Test
-0.74
Residual Average
0.0
Price Variance
0.03
Fly Play hf lagged returns against current returns
Autocorrelation, which is Fly Play 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 Fly Play's stock expected returns. We can calculate the autocorrelation of Fly Play returns to help us make a trade decision. For example, suppose you find that Fly Play 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 price movement to match the lagging time series.
Current and Lagged Values
Timeline
Fly Play 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 Fly Play stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fly Play stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fly Play stock over time.
Current vs Lagged Prices
Timeline
Fly Play Lagged Returns
When evaluating Fly Play's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fly Play stock have on its future price. Fly Play 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, Fly Play autocorrelation shows the relationship between Fly Play stock current value and its past values and can show if there is a momentum factor associated with investing in Fly Play hf.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.