WINGS Technical Analysis
| WINGS Crypto | USD 0.000006 0.000001 14.29% |
As of the 24th of February, WINGS maintains the Standard Deviation of 4.24, risk adjusted performance of (0.09), and Mean Deviation of 1.81. Compared to fundamental indicators, the technical analysis model lets you check practical technical drivers of WINGS, as well as the relationship between them.
WINGS Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as WINGS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WINGSWINGS |
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.
| 11/26/2025 |
| 02/24/2026 |
If you would invest 0.00 in WINGS on November 26, 2025 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 90 days. WINGS is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. 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 | (0.15) | |||
| Maximum Drawdown | 30.95 | |||
| Value At Risk | (11.11) |
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 | (0.09) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (1.03) | |||
| Treynor Ratio | (0.55) |
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 February 24, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.09) | |||
| Market Risk Adjusted Performance | (0.54) | |||
| Mean Deviation | 1.81 | |||
| Coefficient Of Variation | (814.29) | |||
| Standard Deviation | 4.24 | |||
| Variance | 18.02 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (1.03) | |||
| Treynor Ratio | (0.55) | |||
| Maximum Drawdown | 30.95 | |||
| Value At Risk | (11.11) | |||
| Skewness | (0.48) | |||
| Kurtosis | 8.22 |
WINGS Backtested Returns
WINGS shows Sharpe Ratio of -0.12, which attests that digital coin had a -0.12 % return per unit of standard deviation over the last 3 months. WINGS exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WINGS's Risk Adjusted Performance of (0.09), mean deviation of 1.81, and Standard Deviation of 4.24 to validate the risk estimate we provide. The entity maintains a market beta of 0.96, which attests to possible diversification benefits within a given portfolio. WINGS returns are very sensitive to returns on the market. As the market goes up or down, WINGS is expected to follow.
Auto-correlation | 0.00 |
No correlation between past and present
WINGS has no correlation between past and present. Overlapping area represents the amount of predictability between WINGS time series from 26th of November 2025 to 10th of January 2026 and 10th of January 2026 to 24th of February 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 WINGS price movement. The serial correlation of 0.0 indicates that just 0.0% of current WINGS price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
WINGS Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for WINGS across different markets.
About WINGS Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of WINGS on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of WINGS based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on WINGS price pattern first instead of the macroeconomic environment surrounding WINGS. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of WINGS's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to WINGS specific price patterns or momentum indicators.
WINGS February 24, 2026 Technical Indicators
Most technical analysis of WINGS help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for WINGS from various momentum indicators to cycle indicators. When you analyze WINGS charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.09) | |||
| Market Risk Adjusted Performance | (0.54) | |||
| Mean Deviation | 1.81 | |||
| Coefficient Of Variation | (814.29) | |||
| Standard Deviation | 4.24 | |||
| Variance | 18.02 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | (0.62) | |||
| Total Risk Alpha | (1.03) | |||
| Treynor Ratio | (0.55) | |||
| Maximum Drawdown | 30.95 | |||
| Value At Risk | (11.11) | |||
| Skewness | (0.48) | |||
| Kurtosis | 8.22 |
WINGS February 24, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as WINGS stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.86 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in WINGS. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.