Idetf Fund Technical Analysis
| IDETF Fund | 110.13 0.00 0.00% |
Idetf Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Idetf, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to IdetfIdetf |
Idetf '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 Idetf's otc fund 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 Idetf.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Idetf on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Idetf or generate 0.0% return on investment in Idetf over 90 days.
Idetf 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 Idetf's otc fund 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 Idetf upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4097 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 1.19 | |||
| Value At Risk | (0.46) | |||
| Potential Upside | 0.4244 |
Idetf Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Idetf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Idetf's standard deviation. In reality, there are many statistical measures that can use Idetf historical prices to predict the future Idetf's volatility.| Risk Adjusted Performance | 0.1325 | |||
| Jensen Alpha | 0.0536 | |||
| Total Risk Alpha | 0.0291 | |||
| Sortino Ratio | (0.01) | |||
| 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 Idetf'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.
Idetf February 15, 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 | 0.1325 | |||
| Market Risk Adjusted Performance | 1.03 | |||
| Mean Deviation | 0.2531 | |||
| Semi Deviation | 0.2103 | |||
| Downside Deviation | 0.4097 | |||
| Coefficient Of Variation | 560.48 | |||
| Standard Deviation | 0.3754 | |||
| Variance | 0.1409 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0536 | |||
| Total Risk Alpha | 0.0291 | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 1.02 | |||
| Maximum Drawdown | 1.19 | |||
| Value At Risk | (0.46) | |||
| Potential Upside | 0.4244 | |||
| Downside Variance | 0.1678 | |||
| Semi Variance | 0.0442 | |||
| Expected Short fall | (0.26) | |||
| Skewness | 0.6972 | |||
| Kurtosis | 3.72 |
Idetf Backtested Returns
At this point, Idetf is very steady. Idetf holds Efficiency (Sharpe) Ratio of 0.17, which attests that the entity had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Idetf, which you can use to evaluate the volatility of the entity. Please check out Idetf's Downside Deviation of 0.4097, risk adjusted performance of 0.1325, and Market Risk Adjusted Performance of 1.03 to validate if the risk estimate we provide is consistent with the expected return of 0.064%. The fund retains a Market Volatility (i.e., Beta) of 0.0559, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Idetf's returns are expected to increase less than the market. However, during the bear market, the loss of holding Idetf is expected to be smaller as well.
Auto-correlation | -0.49 |
Modest reverse predictability
Idetf has modest reverse predictability. Overlapping area represents the amount of predictability between Idetf time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 Idetf price movement. The serial correlation of -0.49 indicates that about 49.0% of current Idetf price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Idetf technical otc fund 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, otc market cycles, or different charting patterns.
Idetf Technical Analysis
The output start index for this execution was one with a total number of output elements of twenty-five. The Normalized Average True Range is used to analyze tradable apportunities for Idetf across different markets.
Idetf February 15, 2026 Technical Indicators
Most technical analysis of Idetf 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 Idetf from various momentum indicators to cycle indicators. When you analyze Idetf 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 | 0.1325 | |||
| Market Risk Adjusted Performance | 1.03 | |||
| Mean Deviation | 0.2531 | |||
| Semi Deviation | 0.2103 | |||
| Downside Deviation | 0.4097 | |||
| Coefficient Of Variation | 560.48 | |||
| Standard Deviation | 0.3754 | |||
| Variance | 0.1409 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | 0.0536 | |||
| Total Risk Alpha | 0.0291 | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 1.02 | |||
| Maximum Drawdown | 1.19 | |||
| Value At Risk | (0.46) | |||
| Potential Upside | 0.4244 | |||
| Downside Variance | 0.1678 | |||
| Semi Variance | 0.0442 | |||
| Expected Short fall | (0.26) | |||
| Skewness | 0.6972 | |||
| Kurtosis | 3.72 |
Idetf February 15, 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 Idetf 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 | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 110.13 | ||
| Day Typical Price | 110.13 | ||
| Price Action Indicator | 0.00 |
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