Drift Protocol Technical Analysis
| DRIFT Crypto | USD 0.09 0.0005 0.53% |
As of the 17th of February 2026, Drift Protocol shows the Variance of 46.7, mean deviation of 5.3, and Standard Deviation of 6.83. Drift protocol 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.
Drift Protocol Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Drift, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DriftDrift |
Drift Protocol '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 Drift Protocol'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 Drift Protocol.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Drift Protocol on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Drift protocol or generate 0.0% return on investment in Drift Protocol over 90 days. Drift Protocol is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Drift protocol is peer-to-peer digital currency powered by the Blockchain technology.
Drift Protocol 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 Drift Protocol'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 Drift protocol upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 31.5 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 8.33 |
Drift Protocol Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Drift Protocol's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Drift Protocol's standard deviation. In reality, there are many statistical measures that can use Drift Protocol historical prices to predict the future Drift Protocol's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (1.10) | |||
| Total Risk Alpha | (1.52) | |||
| Treynor Ratio | 1.02 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Drift Protocol'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.
Drift Protocol February 17, 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 | (0.12) | |||
| Market Risk Adjusted Performance | 1.03 | |||
| Mean Deviation | 5.3 | |||
| Coefficient Of Variation | (600.68) | |||
| Standard Deviation | 6.83 | |||
| Variance | 46.7 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (1.10) | |||
| Total Risk Alpha | (1.52) | |||
| Treynor Ratio | 1.02 | |||
| Maximum Drawdown | 31.5 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 8.33 | |||
| Skewness | (0.64) | |||
| Kurtosis | 0.4165 |
Drift protocol Backtested Returns
Drift protocol secures Sharpe Ratio (or Efficiency) of -0.17, which denotes digital coin had a -0.17 % return per unit of risk over the last 3 months. Drift protocol exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Drift Protocol's Standard Deviation of 6.83, mean deviation of 5.3, and Variance of 46.7 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of -1.12, which means a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning Drift Protocol are expected to decrease slowly. On the other hand, during market turmoil, Drift Protocol is expected to outperform it slightly.
Auto-correlation | 0.92 |
Excellent predictability
Drift protocol has excellent predictability. Overlapping area represents the amount of predictability between Drift Protocol time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Drift protocol price movement. The serial correlation of 0.92 indicates that approximately 92.0% of current Drift Protocol price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.92 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Drift Protocol 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.
Drift protocol Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Drift protocol volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Drift Protocol 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 Drift protocol 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 Drift protocol based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Drift protocol price pattern first instead of the macroeconomic environment surrounding Drift protocol. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Drift Protocol'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 Drift Protocol specific price patterns or momentum indicators.
Drift Protocol February 17, 2026 Technical Indicators
Most technical analysis of Drift 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 Drift from various momentum indicators to cycle indicators. When you analyze Drift 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 | (0.12) | |||
| Market Risk Adjusted Performance | 1.03 | |||
| Mean Deviation | 5.3 | |||
| Coefficient Of Variation | (600.68) | |||
| Standard Deviation | 6.83 | |||
| Variance | 46.7 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (1.10) | |||
| Total Risk Alpha | (1.52) | |||
| Treynor Ratio | 1.02 | |||
| Maximum Drawdown | 31.5 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 8.33 | |||
| Skewness | (0.64) | |||
| Kurtosis | 0.4165 |
Drift Protocol February 17, 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 Drift 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 | 1,859 | ||
| Daily Balance Of Power | (0.45) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 0.10 | ||
| Day Typical Price | 0.09 | ||
| Price Action Indicator | 0.00 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Drift protocol. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in persons. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.