Franklin Templeton Etf Forecast - Naive Prediction
| IQM Etf | USD 91.85 0.32 0.35% |
The Naive Prediction forecasted value of Franklin Templeton ETF on the next trading day is expected to be 92.26 with a mean absolute deviation of 1.99 and the sum of the absolute errors of 123.56. Franklin Etf Forecast is based on your current time horizon.
As of now the relative strength momentum indicator of Franklin Templeton's share price is below 20 . This usually indicates that the etf is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Franklin Templeton hype-based prediction, you can estimate the value of Franklin Templeton ETF from the perspective of Franklin Templeton response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Franklin Templeton using Franklin Templeton's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Franklin using crowd psychology based on the activity and movement of Franklin Templeton's stock price.
Franklin Templeton Implied Volatility | 0.33 |
Franklin Templeton's implied volatility exposes the market's sentiment of Franklin Templeton ETF stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Franklin Templeton's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Franklin Templeton stock will not fluctuate a lot when Franklin Templeton's options are near their expiration.
The Naive Prediction forecasted value of Franklin Templeton ETF on the next trading day is expected to be 92.26 with a mean absolute deviation of 1.99 and the sum of the absolute errors of 123.56. Franklin Templeton after-hype prediction price | USD 91.85 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as etf price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
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Open Interest Against 2026-04-17 Franklin Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Franklin Templeton's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Franklin Templeton's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Franklin Templeton stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Franklin Templeton's open interest, investors have to compare it to Franklin Templeton's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Franklin Templeton is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Franklin. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Franklin Templeton Additional Predictive Modules
Most predictive techniques to examine Franklin price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Franklin using various technical indicators. When you analyze Franklin charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Franklin Templeton Naive Prediction Price Forecast For the 9th of January
Given 90 days horizon, the Naive Prediction forecasted value of Franklin Templeton ETF on the next trading day is expected to be 92.26 with a mean absolute deviation of 1.99, mean absolute percentage error of 5.95, and the sum of the absolute errors of 123.56.Please note that although there have been many attempts to predict Franklin Etf prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Franklin Templeton's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Franklin Templeton Etf Forecast Pattern
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Franklin Templeton Forecasted Value
In the context of forecasting Franklin Templeton's Etf value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Franklin Templeton's downside and upside margins for the forecasting period are 90.35 and 94.17, respectively. We have considered Franklin Templeton's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Franklin Templeton etf data series using in forecasting. Note that when a statistical model is used to represent Franklin Templeton etf, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 121.7315 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.9929 |
| MAPE | Mean absolute percentage error | 0.0225 |
| SAE | Sum of the absolute errors | 123.5569 |
Predictive Modules for Franklin Templeton
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Franklin Templeton ETF. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Other Forecasting Options for Franklin Templeton
For every potential investor in Franklin, whether a beginner or expert, Franklin Templeton's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Franklin Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Franklin. Basic forecasting techniques help filter out the noise by identifying Franklin Templeton's price trends.Franklin Templeton Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Franklin Templeton etf to make a market-neutral strategy. Peer analysis of Franklin Templeton could also be used in its relative valuation, which is a method of valuing Franklin Templeton by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Franklin Templeton ETF Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Franklin Templeton's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Franklin Templeton's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Franklin Templeton Market Strength Events
Market strength indicators help investors to evaluate how Franklin Templeton etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Franklin Templeton shares will generate the highest return on investment. By undertsting and applying Franklin Templeton etf market strength indicators, traders can identify Franklin Templeton ETF entry and exit signals to maximize returns.
Franklin Templeton Risk Indicators
The analysis of Franklin Templeton's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Franklin Templeton's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting franklin etf prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.47 | |||
| Semi Deviation | 2.03 | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.78 | |||
| Downside Variance | 4.47 | |||
| Semi Variance | 4.12 | |||
| Expected Short fall | (1.50) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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The market value of Franklin Templeton ETF 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 Templeton's value that differs from its market value or its book value, called intrinsic value, which is Franklin Templeton'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 Templeton's market value can be influenced by many factors that don't directly affect Franklin Templeton'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 Templeton's value and its price as these two are different measures arrived at by different means. Investors typically determine if Franklin Templeton is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Franklin Templeton'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.