Drift Protocol Market Value
| DRIFT Crypto | USD 0.09 0.0005 0.53% |
| Symbol | Drift |
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 | (0.20) | |||
| 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 | (0.15) | |||
| Jensen Alpha | (1.31) | |||
| Total Risk Alpha | (1.72) | |||
| Treynor Ratio | 1.5 |
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 | (0.15) | |||
| Market Risk Adjusted Performance | 1.51 | |||
| Mean Deviation | 5.4 | |||
| Coefficient Of Variation | (510.46) | |||
| Standard Deviation | 6.82 | |||
| Variance | 46.56 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (1.31) | |||
| Total Risk Alpha | (1.72) | |||
| Treynor Ratio | 1.5 | |||
| Maximum Drawdown | 31.5 | |||
| Value At Risk | (13.33) | |||
| Potential Upside | 8.33 | |||
| Skewness | (0.56) | |||
| Kurtosis | 0.2775 |
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 Mean Deviation of 5.4, variance of 46.56, and Standard Deviation of 6.82 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of -0.89, which means possible diversification benefits within a given portfolio. 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 |
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 Drift protocol offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Drift Protocol'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 Drift Protocol Crypto.Check out Drift Protocol Correlation, Drift Protocol Volatility and Investing Opportunities module to complement your research on Drift Protocol. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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.