WINGS Market Value
| WINGS Crypto | USD 0.00001 0.000001 11.11% |
| Symbol | WINGS |
WINGS '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 WINGS'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 WINGS.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in WINGS on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding WINGS or generate 0.0% return on investment in WINGS over 30 days. WINGS is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Stellar, and Worldcoin. WINGS is peer-to-peer digital currency powered by the Blockchain technology.
WINGS 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 WINGS'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 WINGS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1143 | |||
| Maximum Drawdown | 34.29 | |||
| Potential Upside | 14.29 |
WINGS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WINGS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WINGS's standard deviation. In reality, there are many statistical measures that can use WINGS historical prices to predict the future WINGS's volatility.| Risk Adjusted Performance | 0.1141 | |||
| Jensen Alpha | 0.6284 | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 0.7338 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WINGS'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.
WINGS Backtested Returns
WINGS appears to be unusually risky, given 3 months investment horizon. WINGS shows Sharpe Ratio of 0.17, which attests that digital coin had a 0.17% return per unit of standard deviation over the last 3 months. By reviewing WINGS's technical indicators, you can evaluate if the expected return of 0.96% is justified by implied risk. Please utilize WINGS's Mean Deviation of 2.63, risk adjusted performance of 0.1141, and Standard Deviation of 5.52 to validate if our risk estimates are consistent with your expectations. The entity maintains a market beta of 1.02, which attests to a somewhat significant risk relative to the market. WINGS returns are very sensitive to returns on the market. As the market goes up or down, WINGS is expected to follow.
Auto-correlation | 0.82 |
Very good predictability
WINGS has very good predictability. Overlapping area represents the amount of predictability between WINGS time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of WINGS price movement. The serial correlation of 0.82 indicates that around 82.0% of current WINGS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.95 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
WINGS lagged returns against current returns
Autocorrelation, which is WINGS 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 WINGS's crypto coin expected returns. We can calculate the autocorrelation of WINGS returns to help us make a trade decision. For example, suppose you find that WINGS has exhibited high autocorrelation historically, and you observe that the crypto coin 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 |
WINGS 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 WINGS crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WINGS crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WINGS crypto coin over time.
Current vs Lagged Prices |
| Timeline |
WINGS Lagged Returns
When evaluating WINGS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WINGS crypto coin have on its future price. WINGS 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, WINGS autocorrelation shows the relationship between WINGS crypto coin current value and its past values and can show if there is a momentum factor associated with investing in WINGS.
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.When determining whether WINGS offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of WINGS's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Wings Crypto.Check out WINGS Correlation, WINGS Volatility and Investing Opportunities module to complement your research on WINGS. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
WINGS technical crypto coin 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, crypto market cycles, or different charting patterns.