Ivy Science And Fund Technical Analysis
| ISTNX Fund | USD 89.72 3.03 3.50% |
As of the 7th of February, Ivy Science retains the Risk Adjusted Performance of 0.0822, market risk adjusted performance of 0.1771, and Downside Deviation of 2.03. Ivy Science technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
Ivy Science Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ivy, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to IvyIvy |
Ivy Science '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 Ivy Science's mutual 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 Ivy Science.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Ivy Science on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Ivy Science And or generate 0.0% return on investment in Ivy Science over 90 days. Ivy Science is related to or competes with Schwab Health, Health Care, Deutsche Health, Vanguard Health, Live Oak, and T Rowe. The fund invests primarily in the equity securities of science and technology companies around the globe More
Ivy Science 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 Ivy Science's mutual 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 Ivy Science And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.03 | |||
| Information Ratio | 0.0568 | |||
| Maximum Drawdown | 18.23 | |||
| Value At Risk | (3.27) | |||
| Potential Upside | 2.96 |
Ivy Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ivy Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ivy Science's standard deviation. In reality, there are many statistical measures that can use Ivy Science historical prices to predict the future Ivy Science's volatility.| Risk Adjusted Performance | 0.0822 | |||
| Jensen Alpha | 0.1138 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0677 | |||
| Treynor Ratio | 0.1671 |
Ivy Science February 7, 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 | 0.0822 | |||
| Market Risk Adjusted Performance | 0.1771 | |||
| Mean Deviation | 1.5 | |||
| Semi Deviation | 1.74 | |||
| Downside Deviation | 2.03 | |||
| Coefficient Of Variation | 1067.22 | |||
| Standard Deviation | 2.43 | |||
| Variance | 5.89 | |||
| Information Ratio | 0.0568 | |||
| Jensen Alpha | 0.1138 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0677 | |||
| Treynor Ratio | 0.1671 | |||
| Maximum Drawdown | 18.23 | |||
| Value At Risk | (3.27) | |||
| Potential Upside | 2.96 | |||
| Downside Variance | 4.14 | |||
| Semi Variance | 3.03 | |||
| Expected Short fall | (1.55) | |||
| Skewness | 2.6 | |||
| Kurtosis | 15.11 |
Ivy Science And Backtested Returns
Ivy Science appears to be very steady, given 3 months investment horizon. Ivy Science And holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Ivy Science And, which you can use to evaluate the volatility of the entity. Please utilize Ivy Science's Downside Deviation of 2.03, risk adjusted performance of 0.0822, and Market Risk Adjusted Performance of 0.1771 to validate if our risk estimates are consistent with your expectations. The fund retains a Market Volatility (i.e., Beta) of 1.3, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Ivy Science will likely underperform.
Auto-correlation | 0.50 |
Modest predictability
Ivy Science And has modest predictability. Overlapping area represents the amount of predictability between Ivy Science time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 Ivy Science And price movement. The serial correlation of 0.5 indicates that about 50.0% of current Ivy Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 7.31 |
Ivy Science technical mutual 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, fund market cycles, or different charting patterns.
Ivy Science And Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Ivy Science And volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Ivy Science 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 Ivy Science And 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 Ivy Science And based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Ivy Science And price pattern first instead of the macroeconomic environment surrounding Ivy Science And. By analyzing Ivy Science's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Ivy Science's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Ivy Science specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ivy Science February 7, 2026 Technical Indicators
Most technical analysis of Ivy 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 Ivy from various momentum indicators to cycle indicators. When you analyze Ivy 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 | 0.0822 | |||
| Market Risk Adjusted Performance | 0.1771 | |||
| Mean Deviation | 1.5 | |||
| Semi Deviation | 1.74 | |||
| Downside Deviation | 2.03 | |||
| Coefficient Of Variation | 1067.22 | |||
| Standard Deviation | 2.43 | |||
| Variance | 5.89 | |||
| Information Ratio | 0.0568 | |||
| Jensen Alpha | 0.1138 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0677 | |||
| Treynor Ratio | 0.1671 | |||
| Maximum Drawdown | 18.23 | |||
| Value At Risk | (3.27) | |||
| Potential Upside | 2.96 | |||
| Downside Variance | 4.14 | |||
| Semi Variance | 3.03 | |||
| Expected Short fall | (1.55) | |||
| Skewness | 2.6 | |||
| Kurtosis | 15.11 |
Ivy Science February 7, 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 Ivy 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 | Huge | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 89.72 | ||
| Day Typical Price | 89.72 | ||
| Price Action Indicator | 1.52 |
Other Information on Investing in Ivy Mutual Fund
Ivy Science financial ratios help investors to determine whether Ivy Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ivy with respect to the benefits of owning Ivy Science security.
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