Netflix Etf Forecast - Naive Prediction
| NFLX Etf | USD 90.04 1.42 1.55% |
The Naive Prediction forecasted value of Netflix on the next trading day is expected to be 94.17 with a mean absolute deviation of 2.39 and the sum of the absolute errors of 145.65. Netflix Etf Forecast is based on your current time horizon.
The relative strength index (RSI) of Netflix's share price is below 30 at this time. This indicates that the etf is becoming oversold or undervalued. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Netflix, making its price go up or down. Momentum 20
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 0.087 | EPS Estimate Next Quarter 5.4293 | EPS Estimate Current Year 2.5341 | EPS Estimate Next Year 3.2348 | Wall Street Target Price 126.1918 |
Using Netflix hype-based prediction, you can estimate the value of Netflix from the perspective of Netflix response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Netflix using Netflix's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Netflix using crowd psychology based on the activity and movement of Netflix's stock price.
Netflix Implied Volatility | 0.3 |
Netflix's implied volatility exposes the market's sentiment of Netflix stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Netflix'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 Netflix stock will not fluctuate a lot when Netflix's options are near their expiration.
The Naive Prediction forecasted value of Netflix on the next trading day is expected to be 94.17 with a mean absolute deviation of 2.39 and the sum of the absolute errors of 145.65. Netflix after-hype prediction price | USD 91.57 |
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.
Check out Historical Fundamental Analysis of Netflix to cross-verify your projections. Open Interest Against 2026-03-20 Netflix Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Netflix'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 Netflix's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Netflix 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 Netflix's open interest, investors have to compare it to Netflix'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 Netflix 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 Netflix. 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.
Netflix Additional Predictive Modules
Most predictive techniques to examine Netflix price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Netflix using various technical indicators. When you analyze Netflix 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 |
Netflix Naive Prediction Price Forecast For the 7th of January
Given 90 days horizon, the Naive Prediction forecasted value of Netflix on the next trading day is expected to be 94.17 with a mean absolute deviation of 2.39, mean absolute percentage error of 9.02, and the sum of the absolute errors of 145.65.Please note that although there have been many attempts to predict Netflix 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 Netflix's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Netflix Etf Forecast Pattern
| Backtest Netflix | Netflix Price Prediction | Buy or Sell Advice |
Netflix Forecasted Value
In the context of forecasting Netflix'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. Netflix's downside and upside margins for the forecasting period are 91.97 and 96.36, respectively. We have considered Netflix'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 Netflix etf data series using in forecasting. Note that when a statistical model is used to represent Netflix 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 | 120.3095 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.3877 |
| MAPE | Mean absolute percentage error | 0.0223 |
| SAE | Sum of the absolute errors | 145.651 |
Predictive Modules for Netflix
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Netflix. 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 Netflix
For every potential investor in Netflix, whether a beginner or expert, Netflix's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Netflix Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Netflix. Basic forecasting techniques help filter out the noise by identifying Netflix's price trends.Netflix 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 Netflix etf to make a market-neutral strategy. Peer analysis of Netflix could also be used in its relative valuation, which is a method of valuing Netflix by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Netflix 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 Netflix'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 Netflix's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Netflix Market Strength Events
Market strength indicators help investors to evaluate how Netflix etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Netflix shares will generate the highest return on investment. By undertsting and applying Netflix etf market strength indicators, traders can identify Netflix entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 90.04 | |||
| Day Typical Price | 90.04 | |||
| Price Action Indicator | (0.71) | |||
| Period Momentum Indicator | (1.42) | |||
| Relative Strength Index | 20.96 |
Netflix Risk Indicators
The analysis of Netflix'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 Netflix's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting netflix 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 | 1.51 | |||
| Standard Deviation | 2.16 | |||
| Variance | 4.67 |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| JBL | Jabil Circuit | |
| MRK | Merck Company | |
| AMGN | Amgen Inc |
Other Information on Investing in Netflix Etf
Netflix financial ratios help investors to determine whether Netflix Etf 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 Netflix with respect to the benefits of owning Netflix security.