SWFTC Technical Analysis
| SWFTC Crypto | USD 0 0.000003 0.08% |
As of the 20th of February, SWFTC has the coefficient of variation of 2500.04, and Risk Adjusted Performance of 0.0397. Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of SWFTC, as well as the relationship between them.
SWFTC Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SWFTC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SWFTCSWFTC |
SWFTC '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 SWFTC'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 SWFTC.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in SWFTC on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding SWFTC or generate 0.0% return on investment in SWFTC over 90 days. SWFTC is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. SWFTC is peer-to-peer digital currency powered by the Blockchain technology.
SWFTC 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 SWFTC'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 SWFTC upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.1 | |||
| Information Ratio | 0.0318 | |||
| Maximum Drawdown | 62.27 | |||
| Value At Risk | (12.46) | |||
| Potential Upside | 18.77 |
SWFTC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SWFTC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SWFTC's standard deviation. In reality, there are many statistical measures that can use SWFTC historical prices to predict the future SWFTC's volatility.| Risk Adjusted Performance | 0.0397 | |||
| Jensen Alpha | 0.5622 | |||
| Total Risk Alpha | (0.52) | |||
| Sortino Ratio | 0.0439 | |||
| Treynor Ratio | (0.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SWFTC'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.
SWFTC February 20, 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 | 0.0397 | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 6.01 | |||
| Semi Deviation | 6.89 | |||
| Downside Deviation | 7.1 | |||
| Coefficient Of Variation | 2500.04 | |||
| Standard Deviation | 9.8 | |||
| Variance | 96.08 | |||
| Information Ratio | 0.0318 | |||
| Jensen Alpha | 0.5622 | |||
| Total Risk Alpha | (0.52) | |||
| Sortino Ratio | 0.0439 | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 62.27 | |||
| Value At Risk | (12.46) | |||
| Potential Upside | 18.77 | |||
| Downside Variance | 50.39 | |||
| Semi Variance | 47.47 | |||
| Expected Short fall | (8.02) | |||
| Skewness | 1.53 | |||
| Kurtosis | 5.49 |
SWFTC Backtested Returns
SWFTC owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates digital coin had a close to zero % return per unit of volatility over the last 3 months. SWFTC exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SWFTC's risk adjusted performance of 0.0397, and Coefficient Of Variation of 2500.04 to confirm the risk estimate we provide. The entity has a beta of -2.55, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning SWFTC are expected to decrease by larger amounts. On the other hand, during market turmoil, SWFTC is expected to outperform it.
Auto-correlation | 0.73 |
Good predictability
SWFTC has good predictability. Overlapping area represents the amount of predictability between SWFTC time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 SWFTC price movement. The serial correlation of 0.73 indicates that around 73.0% of current SWFTC price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SWFTC 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.
SWFTC Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SWFTC volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SWFTC 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 SWFTC 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 SWFTC based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on SWFTC price pattern first instead of the macroeconomic environment surrounding SWFTC. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of SWFTC'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 SWFTC specific price patterns or momentum indicators.
SWFTC February 20, 2026 Technical Indicators
Most technical analysis of SWFTC 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 SWFTC from various momentum indicators to cycle indicators. When you analyze SWFTC 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 | 0.0397 | |||
| Market Risk Adjusted Performance | (0.14) | |||
| Mean Deviation | 6.01 | |||
| Semi Deviation | 6.89 | |||
| Downside Deviation | 7.1 | |||
| Coefficient Of Variation | 2500.04 | |||
| Standard Deviation | 9.8 | |||
| Variance | 96.08 | |||
| Information Ratio | 0.0318 | |||
| Jensen Alpha | 0.5622 | |||
| Total Risk Alpha | (0.52) | |||
| Sortino Ratio | 0.0439 | |||
| Treynor Ratio | (0.15) | |||
| Maximum Drawdown | 62.27 | |||
| Value At Risk | (12.46) | |||
| Potential Upside | 18.77 | |||
| Downside Variance | 50.39 | |||
| Semi Variance | 47.47 | |||
| Expected Short fall | (8.02) | |||
| Skewness | 1.53 | |||
| Kurtosis | 5.49 |
SWFTC February 20, 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 SWFTC 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 | 3,436 | ||
| Daily Balance Of Power | (0.11) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SWFTC. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in services. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.