IOTA Technical Analysis
| MIOTA Crypto | USD 0.07 0.0008 1.24% |
As of the 11th of February 2026, IOTA retains the market risk adjusted performance of 0.9232, and Risk Adjusted Performance of (0.12). In connection with fundamental indicators, the technical analysis model lets you check practical technical drivers of IOTA, as well as the relationship between them.
IOTA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as IOTA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to IOTAIOTA |
IOTA '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 IOTA'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 IOTA.
| 11/13/2025 |
| 02/11/2026 |
If you would invest 0.00 in IOTA on November 13, 2025 and sell it all today you would earn a total of 0.00 from holding IOTA or generate 0.0% return on investment in IOTA over 90 days. IOTA is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. IOTA is peer-to-peer digital currency powered by the Blockchain technology.
IOTA 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 IOTA'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 IOTA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 30.38 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 9.35 |
IOTA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IOTA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IOTA's standard deviation. In reality, there are many statistical measures that can use IOTA historical prices to predict the future IOTA's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.83) | |||
| Total Risk Alpha | (1.59) | |||
| Treynor Ratio | 0.9132 |
IOTA February 11, 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 | 0.9232 | |||
| Mean Deviation | 4.05 | |||
| Coefficient Of Variation | (619.47) | |||
| Standard Deviation | 5.64 | |||
| Variance | 31.86 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.83) | |||
| Total Risk Alpha | (1.59) | |||
| Treynor Ratio | 0.9132 | |||
| Maximum Drawdown | 30.38 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 9.35 | |||
| Skewness | 0.4479 | |||
| Kurtosis | 1.12 |
IOTA Backtested Returns
IOTA holds Efficiency (Sharpe) Ratio of -0.16, which attests that digital coin had a -0.16 % return per unit of volatility over the last 3 months. IOTA exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out IOTA's risk adjusted performance of (0.12), and Market Risk Adjusted Performance of 0.9232 to validate the risk estimate we provide. The crypto retains a Market Volatility (i.e., Beta) of -1.01, which attests to a somewhat significant risk relative to the market. As the market becomes more bullish, returns on owning IOTA are expected to decrease slowly. On the other hand, during market turmoil, IOTA is expected to outperform it slightly.
Auto-correlation | 0.70 |
Good predictability
IOTA has good predictability. Overlapping area represents the amount of predictability between IOTA time series from 13th of November 2025 to 28th of December 2025 and 28th of December 2025 to 11th 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 IOTA price movement. The serial correlation of 0.7 indicates that around 70.0% of current IOTA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
IOTA 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.
IOTA Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for IOTA across different markets.
About IOTA 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 IOTA 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 IOTA based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on IOTA price pattern first instead of the macroeconomic environment surrounding IOTA. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of IOTA'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 IOTA specific price patterns or momentum indicators.
IOTA February 11, 2026 Technical Indicators
Most technical analysis of IOTA 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 IOTA from various momentum indicators to cycle indicators. When you analyze IOTA 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 | 0.9232 | |||
| Mean Deviation | 4.05 | |||
| Coefficient Of Variation | (619.47) | |||
| Standard Deviation | 5.64 | |||
| Variance | 31.86 | |||
| Information Ratio | (0.18) | |||
| Jensen Alpha | (0.83) | |||
| Total Risk Alpha | (1.59) | |||
| Treynor Ratio | 0.9132 | |||
| Maximum Drawdown | 30.38 | |||
| Value At Risk | (9.09) | |||
| Potential Upside | 9.35 | |||
| Skewness | 0.4479 | |||
| Kurtosis | 1.12 |
IOTA February 11, 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 IOTA 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 | 14,762 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 0.07 | ||
| Day Typical Price | 0.07 | ||
| Price Action Indicator | 0.00 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in IOTA. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.