Jpmorgan Tech Leaders Etf Market Value
| JTEK Etf | 90.08 0.16 0.18% |
| Symbol | JPMorgan |
The market value of JPMorgan Tech Leaders is measured differently than its book value, which is the value of JPMorgan that is recorded on the company's balance sheet. Investors also form their own opinion of JPMorgan Tech's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Tech's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because JPMorgan Tech's market value can be influenced by many factors that don't directly affect JPMorgan Tech's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between JPMorgan Tech's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Tech is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Tech's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
JPMorgan Tech '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 JPMorgan Tech's 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 JPMorgan Tech.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in JPMorgan Tech on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding JPMorgan Tech Leaders or generate 0.0% return on investment in JPMorgan Tech over 90 days. JPMorgan Tech is related to or competes with Fidelity Asset, Fidelity Advisor, Goldman Sachs, GraniteShares, Global X, First Trust, and Vanguard Long-term. JPMorgan Tech is entity of United States More
JPMorgan Tech 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 JPMorgan Tech's 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 JPMorgan Tech Leaders upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 6.69 | |||
| Value At Risk | (2.76) | |||
| Potential Upside | 2.13 |
JPMorgan Tech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Tech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Tech's standard deviation. In reality, there are many statistical measures that can use JPMorgan Tech historical prices to predict the future JPMorgan Tech's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of JPMorgan Tech'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.
JPMorgan Tech January 26, 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.03) | |||
| Mean Deviation | 1.15 | |||
| Coefficient Of Variation | (4,083) | |||
| Standard Deviation | 1.53 | |||
| Variance | 2.35 | |||
| Information Ratio | (0.08) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.19) | |||
| Treynor Ratio | (0.04) | |||
| Maximum Drawdown | 6.69 | |||
| Value At Risk | (2.76) | |||
| Potential Upside | 2.13 | |||
| Skewness | (0.38) | |||
| Kurtosis | 0.5766 |
JPMorgan Tech Leaders Backtested Returns
JPMorgan Tech Leaders holds Efficiency (Sharpe) Ratio of -0.0675, which attests that the entity had a -0.0675 % return per unit of volatility over the last 3 months. JPMorgan Tech Leaders exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan Tech's market risk adjusted performance of (0.03), and Risk Adjusted Performance of (0.01) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 1.18, 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, JPMorgan Tech will likely underperform.
Auto-correlation | -0.66 |
Very good reverse predictability
JPMorgan Tech Leaders has very good reverse predictability. Overlapping area represents the amount of predictability between JPMorgan Tech time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th of January 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 JPMorgan Tech Leaders price movement. The serial correlation of -0.66 indicates that around 66.0% of current JPMorgan Tech price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | 0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 2.36 |
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JPMorgan Tech 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.