Knowledge Leaders Developed Etf Technical Analysis
| KLDW Etf | USD 55.26 0.96 1.77% |
As of the 7th of February, Knowledge Leaders secures the Downside Deviation of 0.8807, risk adjusted performance of 0.1478, and Mean Deviation of 0.5854. Knowledge Leaders Developed technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the etf's future prices. Please verify Knowledge Leaders standard deviation, maximum drawdown, as well as the relationship between the Maximum Drawdown and expected short fall to decide if Knowledge Leaders Developed is priced some-what accurately, providing market reflects its recent price of 55.26 per share.
Knowledge Leaders Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Knowledge, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to KnowledgeKnowledge | Build AI portfolio with Knowledge Etf |
Understanding Knowledge Leaders requires distinguishing between market price and book value, where the latter reflects Knowledge's accounting equity. The concept of intrinsic value - what Knowledge Leaders' is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investment professionals apply varied valuation frameworks to compute inherent worth and acquire positions when market prices trade at discounts to calculated value. Market sentiment, economic cycles, and investor behavior can push Knowledge Leaders' price substantially above or below its fundamental value.
Understanding that Knowledge Leaders' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Knowledge Leaders represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, Knowledge Leaders' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Knowledge Leaders '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 Knowledge Leaders' etf 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 Knowledge Leaders.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Knowledge Leaders on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Knowledge Leaders Developed or generate 0.0% return on investment in Knowledge Leaders over 90 days. Knowledge Leaders is related to or competes with IShares Digital, IShares MSCI, Invesco Raymond, IShares MSCI, Franklin Income, and NEOS Investment. The fund invests primarily in equities the advisor considers to be highly innovative companies or knowledge leaders More
Knowledge Leaders 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 Knowledge Leaders' etf 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 Knowledge Leaders Developed upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8807 | |||
| Information Ratio | 0.0728 | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.77 |
Knowledge Leaders Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Knowledge Leaders' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Knowledge Leaders' standard deviation. In reality, there are many statistical measures that can use Knowledge Leaders historical prices to predict the future Knowledge Leaders' volatility.| Risk Adjusted Performance | 0.1478 | |||
| Jensen Alpha | 0.0986 | |||
| Total Risk Alpha | 0.0585 | |||
| Sortino Ratio | 0.0671 | |||
| Treynor Ratio | 0.2755 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Knowledge Leaders' 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.
Knowledge Leaders 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 | 0.1478 | |||
| Market Risk Adjusted Performance | 0.2855 | |||
| Mean Deviation | 0.5854 | |||
| Semi Deviation | 0.4491 | |||
| Downside Deviation | 0.8807 | |||
| Coefficient Of Variation | 545.45 | |||
| Standard Deviation | 0.8112 | |||
| Variance | 0.658 | |||
| Information Ratio | 0.0728 | |||
| Jensen Alpha | 0.0986 | |||
| Total Risk Alpha | 0.0585 | |||
| Sortino Ratio | 0.0671 | |||
| Treynor Ratio | 0.2755 | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.77 | |||
| Downside Variance | 0.7757 | |||
| Semi Variance | 0.2017 | |||
| Expected Short fall | (0.83) | |||
| Skewness | 0.395 | |||
| Kurtosis | 0.3361 |
Knowledge Leaders Backtested Returns
At this stage we consider Knowledge Etf to be very steady. Knowledge Leaders has Sharpe Ratio of 0.18, which conveys that the entity had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Knowledge Leaders, which you can use to evaluate the volatility of the etf. Please verify Knowledge Leaders' Risk Adjusted Performance of 0.1478, mean deviation of 0.5854, and Downside Deviation of 0.8807 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. The etf secures a Beta (Market Risk) of 0.5, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Knowledge Leaders' returns are expected to increase less than the market. However, during the bear market, the loss of holding Knowledge Leaders is expected to be smaller as well.
Auto-correlation | 0.49 |
Average predictability
Knowledge Leaders Developed has average predictability. Overlapping area represents the amount of predictability between Knowledge Leaders 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 Knowledge Leaders price movement. The serial correlation of 0.49 indicates that about 49.0% of current Knowledge Leaders price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.49 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 1.65 |
Knowledge Leaders technical etf 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, etf market cycles, or different charting patterns.
Knowledge Leaders 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 Knowledge Leaders volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Knowledge Leaders 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 Knowledge Leaders Developed 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 Knowledge Leaders Developed based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Knowledge Leaders price pattern first instead of the macroeconomic environment surrounding Knowledge Leaders. By analyzing Knowledge Leaders'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 Knowledge Leaders'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 Knowledge Leaders specific price patterns or momentum indicators. Please read more on our technical analysis page.
Knowledge Leaders February 7, 2026 Technical Indicators
Most technical analysis of Knowledge 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 Knowledge from various momentum indicators to cycle indicators. When you analyze Knowledge 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 | 0.1478 | |||
| Market Risk Adjusted Performance | 0.2855 | |||
| Mean Deviation | 0.5854 | |||
| Semi Deviation | 0.4491 | |||
| Downside Deviation | 0.8807 | |||
| Coefficient Of Variation | 545.45 | |||
| Standard Deviation | 0.8112 | |||
| Variance | 0.658 | |||
| Information Ratio | 0.0728 | |||
| Jensen Alpha | 0.0986 | |||
| Total Risk Alpha | 0.0585 | |||
| Sortino Ratio | 0.0671 | |||
| Treynor Ratio | 0.2755 | |||
| Maximum Drawdown | 3.45 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.77 | |||
| Downside Variance | 0.7757 | |||
| Semi Variance | 0.2017 | |||
| Expected Short fall | (0.83) | |||
| Skewness | 0.395 | |||
| Kurtosis | 0.3361 |
Knowledge Leaders 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 Knowledge 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 | 5.05 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 55.17 | ||
| Day Typical Price | 55.20 | ||
| Price Action Indicator | 0.57 | ||
| Market Facilitation Index | 0.19 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Knowledge Leaders Developed. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in american community survey. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Understanding Knowledge Leaders requires distinguishing between market price and book value, where the latter reflects Knowledge's accounting equity. The concept of intrinsic value - what Knowledge Leaders' is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investment professionals apply varied valuation frameworks to compute inherent worth and acquire positions when market prices trade at discounts to calculated value. Market sentiment, economic cycles, and investor behavior can push Knowledge Leaders' price substantially above or below its fundamental value.
Understanding that Knowledge Leaders' value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Knowledge Leaders represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, Knowledge Leaders' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.