Stanley Black Stock Forecast - Simple Regression
| SWF Stock | EUR 71.18 0.58 0.82% |
The Simple Regression forecasted value of Stanley Black Decker on the next trading day is expected to be 67.04 with a mean absolute deviation of 2.06 and the sum of the absolute errors of 125.43. Stanley Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Stanley Black's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 15th of January 2026 the value of rsi of Stanley Black's share price is below 20 . This usually implies 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 |
Using Stanley Black hype-based prediction, you can estimate the value of Stanley Black Decker from the perspective of Stanley Black response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Stanley Black Decker on the next trading day is expected to be 67.04 with a mean absolute deviation of 2.06 and the sum of the absolute errors of 125.43. Stanley Black after-hype prediction price | EUR 71.18 |
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.
Stanley |
Stanley Black Additional Predictive Modules
Most predictive techniques to examine Stanley price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Stanley using various technical indicators. When you analyze Stanley 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 |
Stanley Black Simple Regression Price Forecast For the 16th of January 2026
Given 90 days horizon, the Simple Regression forecasted value of Stanley Black Decker on the next trading day is expected to be 67.04 with a mean absolute deviation of 2.06, mean absolute percentage error of 7.09, and the sum of the absolute errors of 125.43.Please note that although there have been many attempts to predict Stanley Stock 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 Stanley Black's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stanley Black Stock Forecast Pattern
| Backtest Stanley Black | Stanley Black Price Prediction | Buy or Sell Advice |
Stanley Black Forecasted Value
In the context of forecasting Stanley Black'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. Stanley Black's downside and upside margins for the forecasting period are 65.01 and 69.06, respectively. We have considered Stanley Black'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Stanley Black stock data series using in forecasting. Note that when a statistical model is used to represent Stanley Black 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 | 120.0694 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.0562 |
| MAPE | Mean absolute percentage error | 0.034 |
| SAE | Sum of the absolute errors | 125.4291 |
Predictive Modules for Stanley Black
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Stanley Black Decker. 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.Other Forecasting Options for Stanley Black
For every potential investor in Stanley, whether a beginner or expert, Stanley Black's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Stanley Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Stanley. Basic forecasting techniques help filter out the noise by identifying Stanley Black's price trends.Stanley Black 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 Stanley Black stock to make a market-neutral strategy. Peer analysis of Stanley Black could also be used in its relative valuation, which is a method of valuing Stanley Black by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Stanley Black Decker Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Stanley Black'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 Stanley Black's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Stanley Black Market Strength Events
Market strength indicators help investors to evaluate how Stanley Black stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Stanley Black shares will generate the highest return on investment. By undertsting and applying Stanley Black stock market strength indicators, traders can identify Stanley Black Decker entry and exit signals to maximize returns.
Stanley Black Risk Indicators
The analysis of Stanley Black'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 Stanley Black's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting stanley 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 | 1.66 | |||
| Semi Deviation | 2.13 | |||
| Standard Deviation | 2.5 | |||
| Variance | 6.27 | |||
| Downside Variance | 5.92 | |||
| Semi Variance | 4.54 | |||
| Expected Short fall | (1.88) |
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.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Stanley Stock
When determining whether Stanley Black Decker is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Stanley Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Stanley Black Decker Stock. Highlighted below are key reports to facilitate an investment decision about Stanley Black Decker Stock:Check out Historical Fundamental Analysis of Stanley Black to cross-verify your projections. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.