Franklin Exponential Data Etf Technical Analysis
| XDAT Etf | USD 24.47 0.13 0.53% |
As of the 26th of January, Franklin Exponential shows the Coefficient Of Variation of (755.44), standard deviation of 1.32, and Mean Deviation of 1.04. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Franklin Exponential, as well as the relationship between them.
Franklin Exponential Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Franklin, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FranklinFranklin | Build AI portfolio with Franklin Etf |
The market value of Franklin Exponential Data is measured differently than its book value, which is the value of Franklin that is recorded on the company's balance sheet. Investors also form their own opinion of Franklin Exponential's value that differs from its market value or its book value, called intrinsic value, which is Franklin Exponential'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 Franklin Exponential's market value can be influenced by many factors that don't directly affect Franklin Exponential'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 Franklin Exponential's value and its price as these two are different measures arrived at by different means. Investors typically determine if Franklin Exponential is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Franklin Exponential'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.
Franklin Exponential '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 Franklin Exponential'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 Franklin Exponential.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Franklin Exponential on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Franklin Exponential Data or generate 0.0% return on investment in Franklin Exponential over 90 days. Franklin Exponential is related to or competes with VanEck Consumer, BlackRock Future, Listed Funds, Direxion All, AB Active, KraneShares Trust, and PGIM Nasdaq. Under normal market conditions, the fund invests at least 80 percent of its net assets in equity securities of companies... More
Franklin Exponential 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 Franklin Exponential'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 Franklin Exponential Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 5.59 | |||
| Value At Risk | (2.35) | |||
| Potential Upside | 1.73 |
Franklin Exponential Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Franklin Exponential's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Franklin Exponential's standard deviation. In reality, there are many statistical measures that can use Franklin Exponential historical prices to predict the future Franklin Exponential's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.22) |
Franklin Exponential 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.21) | |||
| Mean Deviation | 1.04 | |||
| Coefficient Of Variation | (755.44) | |||
| Standard Deviation | 1.32 | |||
| Variance | 1.74 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.22) | |||
| Maximum Drawdown | 5.59 | |||
| Value At Risk | (2.35) | |||
| Potential Upside | 1.73 | |||
| Skewness | (0.17) | |||
| Kurtosis | (0.32) |
Franklin Exponential Data Backtested Returns
Franklin Exponential Data secures Sharpe Ratio (or Efficiency) of -0.19, which denotes the etf had a -0.19 % return per unit of standard deviation over the last 3 months. Franklin Exponential Data exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Franklin Exponential's Standard Deviation of 1.32, mean deviation of 1.04, and Coefficient Of Variation of (755.44) to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.84, which means possible diversification benefits within a given portfolio. As returns on the market increase, Franklin Exponential's returns are expected to increase less than the market. However, during the bear market, the loss of holding Franklin Exponential is expected to be smaller as well.
Auto-correlation | 0.28 |
Poor predictability
Franklin Exponential Data has poor predictability. Overlapping area represents the amount of predictability between Franklin Exponential 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 Franklin Exponential Data price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Franklin Exponential price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.28 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.53 |
Franklin Exponential 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.
Franklin Exponential Data Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Franklin Exponential Data volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Franklin Exponential 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 Franklin Exponential Data 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 Franklin Exponential Data based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Franklin Exponential Data price pattern first instead of the macroeconomic environment surrounding Franklin Exponential Data. By analyzing Franklin Exponential'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 Franklin Exponential'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 Franklin Exponential specific price patterns or momentum indicators. Please read more on our technical analysis page.
Franklin Exponential January 26, 2026 Technical Indicators
Most technical analysis of Franklin 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 Franklin from various momentum indicators to cycle indicators. When you analyze Franklin 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 | (0.09) | |||
| Market Risk Adjusted Performance | (0.21) | |||
| Mean Deviation | 1.04 | |||
| Coefficient Of Variation | (755.44) | |||
| Standard Deviation | 1.32 | |||
| Variance | 1.74 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.22) | |||
| Maximum Drawdown | 5.59 | |||
| Value At Risk | (2.35) | |||
| Potential Upside | 1.73 | |||
| Skewness | (0.17) | |||
| Kurtosis | (0.32) |
Franklin Exponential January 26, 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 Franklin 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 | 0.01 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 24.41 | ||
| Day Typical Price | 24.43 | ||
| Price Action Indicator | 0.13 | ||
| Market Facilitation Index | 0.13 |
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in Franklin Exponential Data. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
The market value of Franklin Exponential Data is measured differently than its book value, which is the value of Franklin that is recorded on the company's balance sheet. Investors also form their own opinion of Franklin Exponential's value that differs from its market value or its book value, called intrinsic value, which is Franklin Exponential'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 Franklin Exponential's market value can be influenced by many factors that don't directly affect Franklin Exponential'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 Franklin Exponential's value and its price as these two are different measures arrived at by different means. Investors typically determine if Franklin Exponential is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Franklin Exponential'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.