Funko Stock Forward View
| FU2 Stock | EUR 3.85 0.33 9.38% |
Funko Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of Funko's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Funko's stock price is roughly 61. This usually indicates that the stock is rather overbought by investors as of 22nd of February 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Funko, making its price go up or down. Momentum 61
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth (0.79) | Wall Street Target Price 24.65 | Quarterly Revenue Growth (0.14) |
Using Funko hype-based prediction, you can estimate the value of Funko Inc from the perspective of Funko response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Funko Inc on the next trading day is expected to be 3.95 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.56. Funko after-hype prediction price | EUR 3.88 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Funko |
Funko Additional Predictive Modules
Most predictive techniques to examine Funko price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Funko using various technical indicators. When you analyze Funko 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 |
Funko Naive Prediction Price Forecast For the 23rd of February
Given 90 days horizon, the Naive Prediction forecasted value of Funko Inc on the next trading day is expected to be 3.95 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.02, and the sum of the absolute errors of 7.56.Please note that although there have been many attempts to predict Funko Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Funko's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Funko Stock Forecast Pattern
| Backtest Funko | Funko Price Prediction | Research Analysis |
Funko Forecasted Value
In the context of forecasting Funko's Stock 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. Funko's downside and upside margins for the forecasting period are 0.04 and 9.18, respectively. We have considered Funko'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 Funko stock data series using in forecasting. Note that when a statistical model is used to represent Funko stock, 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 | 114.3581 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1239 |
| MAPE | Mean absolute percentage error | 0.0409 |
| SAE | Sum of the absolute errors | 7.5602 |
Predictive Modules for Funko
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Funko Inc. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.Funko After-Hype Price Density Analysis
As far as predicting the price of Funko at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Funko or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Funko, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Funko Estimiated After-Hype Price Volatility
In the context of predicting Funko's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Funko's historical news coverage. Funko's after-hype downside and upside margins for the prediction period are 0.19 and 9.10, respectively. We have considered Funko's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Funko is risky at this time. Analysis and calculation of next after-hype price of Funko Inc is based on 3 months time horizon.
Funko Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Funko is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Funko backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Funko, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.90 | 5.22 | 0.03 | 6.40 | 7 Events / Month | 1 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
3.85 | 3.88 | 0.78 |
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Funko Hype Timeline
Funko Inc is currently traded for 3.85on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of 6.4. Funko is estimated to increase in value after the next headline, with the price projected to jump to 3.88 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is forecasted to be 0.78%, whereas the daily expected return is currently at 0.9%. The volatility of related hype on Funko is about 73.36%, with the expected price after the next announcement by competition of 10.25. The company reported the revenue of 1.05 B. Net Loss for the year was (14.72 M) with profit before overhead, payroll, taxes, and interest of 364.06 M. Assuming the 90 days horizon the next estimated press release will be in about 7 days. Check out Historical Fundamental Analysis of Funko to cross-verify your projections.Funko Related Hype Analysis
Having access to credible news sources related to Funko's direct competition is more important than ever and may enhance your ability to predict Funko's future price movements. Getting to know how Funko's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Funko may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PQ9 | BANK MANDIRI | 0.00 | 1 per month | 0.00 | 0.05 | 4.55 | 0.00 | 9.11 | |
| PQ9 | BANK MANDIRI | 0.00 | 0 per month | 0.00 | 0.03 | 4.35 | 0.00 | 24.58 | |
| PQ9 | PT Bank Mandiri | 0.04 | 1 per month | 5.73 | 0.04 | 17.39 | (14.29) | 40.26 | |
| PQ9 | BANK MANDIRI | 0.00 | 3 per month | 2.87 | 0.07 | 5.00 | (4.76) | 26.79 | |
| BKE1 | PT Bank Negara | 0.00 | 3 per month | 3.41 | 0.01 | 5.00 | (4.76) | 37.50 | |
| BKE1 | BK NEGARA INDO | 0.00 | 0 per month | 0.00 | 0.05 | 0.00 | 0.00 | 29.17 | |
| SSUN | Samsung Electronics Co | (70.00) | 4 per month | 2.20 | 0.24 | 6.10 | (4.11) | 13.83 | |
| SSUN | Samsung Electronics Co | 24.00 | 7 per month | 2.32 | 0.24 | 6.04 | (4.93) | 14.94 | |
| SSU | Samsung Electronics Co | 110.00 | 3 per month | 2.24 | 0.28 | 7.66 | (4.89) | 15.03 |
Other Forecasting Options for Funko
For every potential investor in Funko, whether a beginner or expert, Funko's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Funko Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Funko. Basic forecasting techniques help filter out the noise by identifying Funko's price trends.Funko 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 Funko stock to make a market-neutral strategy. Peer analysis of Funko could also be used in its relative valuation, which is a method of valuing Funko by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Funko Market Strength Events
Market strength indicators help investors to evaluate how Funko stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Funko shares will generate the highest return on investment. By undertsting and applying Funko stock market strength indicators, traders can identify Funko Inc entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.09 | |||
| Day Median Price | 3.85 | |||
| Day Typical Price | 3.85 | |||
| Price Action Indicator | 0.17 | |||
| Period Momentum Indicator | 0.33 | |||
| Relative Strength Index | 61.71 |
Funko Risk Indicators
The analysis of Funko'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 Funko's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting funko stock 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 | 3.53 | |||
| Semi Deviation | 3.03 | |||
| Standard Deviation | 5.21 | |||
| Variance | 27.14 | |||
| Downside Variance | 13.1 | |||
| Semi Variance | 9.17 | |||
| Expected Short fall | (4.84) |
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.
Story Coverage note for Funko
The number of cover stories for Funko depends on current market conditions and Funko's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Funko is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Funko's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Check out Historical Fundamental Analysis of Funko to cross-verify your projections. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.