TFS Financial Stock Forward View
| PWT Stock | EUR 12.50 0.20 1.63% |
TFS Stock outlook is based on your current time horizon. We suggest always using this module together with an analysis of TFS Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 14th of February 2026 the relative strength index (rsi) of TFS Financial's share price is below 20 indicating that the stock 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 |
Quarterly Earnings Growth (0.01) | Wall Street Target Price 21 | Quarterly Revenue Growth 0.11 |
Using TFS Financial hype-based prediction, you can estimate the value of TFS Financial from the perspective of TFS Financial response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of TFS Financial on the next trading day is expected to be 12.72 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.86. TFS Financial after-hype prediction price | EUR 12.52 |
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.
TFS |
TFS Financial Additional Predictive Modules
Most predictive techniques to examine TFS price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for TFS using various technical indicators. When you analyze TFS 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 |
TFS Financial Naive Prediction Price Forecast For the 15th of February 2026
Given 90 days horizon, the Naive Prediction forecasted value of TFS Financial on the next trading day is expected to be 12.72 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.86.Please note that although there have been many attempts to predict TFS 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 TFS Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
TFS Financial Stock Forecast Pattern
| Backtest TFS Financial | TFS Financial Price Prediction | Research Analysis |
TFS Financial Forecasted Value
In the context of forecasting TFS Financial'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. TFS Financial's downside and upside margins for the forecasting period are 11.10 and 14.33, respectively. We have considered TFS Financial'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 TFS Financial stock data series using in forecasting. Note that when a statistical model is used to represent TFS Financial 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 | 116.6197 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.159 |
| MAPE | Mean absolute percentage error | 0.0134 |
| SAE | Sum of the absolute errors | 9.8599 |
Predictive Modules for TFS Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as TFS Financial. 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.TFS Financial After-Hype Price Density Analysis
As far as predicting the price of TFS Financial 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 TFS Financial 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 TFS Financial, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
TFS Financial Estimiated After-Hype Price Volatility
In the context of predicting TFS Financial's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on TFS Financial's historical news coverage. TFS Financial's after-hype downside and upside margins for the prediction period are 10.90 and 14.14, respectively. We have considered TFS Financial'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
TFS Financial is very steady at this time. Analysis and calculation of next after-hype price of TFS Financial is based on 3 months time horizon.
TFS Financial Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as TFS Financial is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading TFS Financial 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 TFS Financial, 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 |
0.20 | 1.62 | 0.02 | 0.09 | 9 Events / Month | 2 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
12.50 | 12.52 | 0.16 |
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TFS Financial Hype Timeline
TFS Financial is at this time traded for 12.50on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.02, and average elasticity to hype of competition of -0.09. TFS is estimated to increase in value after the next headline, with the price projected to jump to 12.52 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 0.16%, whereas the daily expected return is at this time at 0.2%. The volatility of related hype on TFS Financial is about 362.01%, with the expected price after the next announcement by competition of 12.41. The company reported the revenue of 321.47 M. Net Income was 90.96 M with profit before overhead, payroll, taxes, and interest of 327.37 M. Assuming the 90 days horizon the next estimated press release will be in about 9 days. Check out Historical Fundamental Analysis of TFS Financial to cross-verify your projections.TFS Financial Related Hype Analysis
Having access to credible news sources related to TFS Financial's direct competition is more important than ever and may enhance your ability to predict TFS Financial's future price movements. Getting to know how TFS Financial'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 TFS Financial may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 9X8 | Groupe Pizzorno Environnement | 0.20 | 1 per month | 0.90 | 0.01 | 2.49 | (1.71) | 7.42 | |
| RS6 | RELIANCE STEEL AL | (2.00) | 4 per month | 0.81 | 0.17 | 2.77 | (1.43) | 4.43 | |
| 36E | GFL ENVIRONM | (0.60) | 7 per month | 0.00 | (0.1) | 2.81 | (2.49) | 7.69 | |
| UWS | Waste Management | 0.82 | 8 per month | 1.10 | 0.12 | 1.69 | (1.44) | 6.20 | |
| A3J | AGF Management Limited | (0.1) | 10 per month | 1.76 | 0.15 | 3.60 | (3.48) | 10.24 | |
| HZ8 | Insteel Industries | 0.20 | 7 per month | 1.81 | 0.09 | 3.17 | (4.17) | 9.24 | |
| Z2J | Worthington Steel | 1.20 | 6 per month | 1.95 | 0.21 | 4.65 | (3.44) | 14.86 | |
| 0QN | Ares Management Corp | (3.30) | 5 per month | 0.00 | (0.08) | 3.53 | (4.72) | 18.16 |
Other Forecasting Options for TFS Financial
For every potential investor in TFS, whether a beginner or expert, TFS Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. TFS Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in TFS. Basic forecasting techniques help filter out the noise by identifying TFS Financial's price trends.TFS Financial 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 TFS Financial stock to make a market-neutral strategy. Peer analysis of TFS Financial could also be used in its relative valuation, which is a method of valuing TFS Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
TFS Financial Market Strength Events
Market strength indicators help investors to evaluate how TFS Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading TFS Financial shares will generate the highest return on investment. By undertsting and applying TFS Financial stock market strength indicators, traders can identify TFS Financial entry and exit signals to maximize returns.
TFS Financial Risk Indicators
The analysis of TFS Financial'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 TFS Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tfs 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 | 1.29 | |||
| Semi Deviation | 1.28 | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.59 | |||
| Downside Variance | 2.69 | |||
| Semi Variance | 1.64 | |||
| Expected Short fall | (1.71) |
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 TFS Financial
The number of cover stories for TFS Financial depends on current market conditions and TFS Financial's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that TFS Financial 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 TFS Financial'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 TFS Financial to cross-verify your projections. For more detail on how to invest in TFS Stock please use our How to Invest in TFS Financial guide.You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.