DF Technical Analysis
| DF Crypto | USD 0.01 0.0003 2.73% |
As of the 29th of January, DF shows the Risk Adjusted Performance of (0.15), coefficient of variation of (480.37), and Mean Deviation of 2.76. DF technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
DF Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DFDF |
DF '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 DF'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 DF.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in DF on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding DF or generate 0.0% return on investment in DF over 90 days. DF is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. DF is peer-to-peer digital currency powered by the Blockchain technology.
DF 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 DF'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 DF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 18.07 | |||
| Value At Risk | (6.16) | |||
| Potential Upside | 4.42 |
DF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DF's standard deviation. In reality, there are many statistical measures that can use DF historical prices to predict the future DF's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (1.05) | |||
| Treynor Ratio | 1.14 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of DF'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.
DF January 29, 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 | (0.15) | |||
| Market Risk Adjusted Performance | 1.15 | |||
| Mean Deviation | 2.76 | |||
| Coefficient Of Variation | (480.37) | |||
| Standard Deviation | 3.51 | |||
| Variance | 12.35 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (1.05) | |||
| Treynor Ratio | 1.14 | |||
| Maximum Drawdown | 18.07 | |||
| Value At Risk | (6.16) | |||
| Potential Upside | 4.42 | |||
| Skewness | (0.32) | |||
| Kurtosis | 0.6276 |
DF Backtested Returns
DF secures Sharpe Ratio (or Efficiency) of -0.21, which denotes digital coin had a -0.21 % return per unit of standard deviation over the last 3 months. DF exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DF's Risk Adjusted Performance of (0.15), coefficient of variation of (480.37), and Mean Deviation of 2.76 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of -0.65, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning DF are expected to decrease at a much lower rate. During the bear market, DF is likely to outperform the market.
Auto-correlation | 0.07 |
Virtually no predictability
DF has virtually no predictability. Overlapping area represents the amount of predictability between DF time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 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 DF price movement. The serial correlation of 0.07 indicates that barely 7.0% of current DF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DF 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.
DF Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for DF across different markets.
About DF 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 DF 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 DF based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on DF price pattern first instead of the macroeconomic environment surrounding DF. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of DF'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 DF specific price patterns or momentum indicators.
DF January 29, 2026 Technical Indicators
Most technical analysis of DF 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 DF from various momentum indicators to cycle indicators. When you analyze DF 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 | (0.15) | |||
| Market Risk Adjusted Performance | 1.15 | |||
| Mean Deviation | 2.76 | |||
| Coefficient Of Variation | (480.37) | |||
| Standard Deviation | 3.51 | |||
| Variance | 12.35 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (1.05) | |||
| Treynor Ratio | 1.14 | |||
| Maximum Drawdown | 18.07 | |||
| Value At Risk | (6.16) | |||
| Potential Upside | 4.42 | |||
| Skewness | (0.32) | |||
| Kurtosis | 0.6276 |
DF January 29, 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 DF 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 | 102,086 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 0.01 | ||
| Day Typical Price | 0.01 | ||
| Price Action Indicator | 0.00 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in DF. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in unemployment. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .