Boule Diagnostics Stock Forward View - Simple Regression

BOUL Stock  SEK 3.95  -0.01  -0.25%   
The Simple Regression forecast reference data for Boule Diagnostics AB is based on the equity's recent trading history. Forecast values and accuracy indicators are summarized on this page for reference. This reference information is provided for analytical context.
The Simple Regression forecasted value of Boule Diagnostics AB on the next trading day is expected to be 3.80 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.63.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Boule Diagnostics AB historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. The Simple Regression projections for Boule Diagnostics AB are reference data based on historical daily prices and are provided as informational context.
Simple Regression model is a single variable regression model that attempts to put a straight line through Boule Diagnostics price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Simple Regression Price Forecast For the 23rd of March

Given 90 days horizon, the Simple Regression forecasted value of Boule Diagnostics AB on the next trading day is expected to be 3.80 with a mean absolute deviation of 0.19 , mean absolute percentage error of 0.06 , and the sum of the absolute errors of 11.63 .
Please note that although there have been many attempts to predict Boule 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 Boule Diagnostics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Boule Diagnostics  Boule Diagnostics Price Prediction  Research Analysis  

Forecasted Value

This next-day forecast for Boule Diagnostics AB uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Market Value
3.95
3.80
Expected Value
6.95
Upside

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 Boule Diagnostics stock data series using in forecasting. Note that when a statistical model is used to represent Boule Diagnostics 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.
AICAkaike Information Criteria115.2669
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1907
MAPEMean absolute percentage error0.0402
SAESum of the absolute errors11.6316
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Boule Diagnostics AB historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for Boule Diagnostics

Volatility clustering is a well-documented feature of Boule Stock price data where periods of large moves tend to follow other large moves. When Boule Diagnostics' RSI reaches extreme levels, it often precedes a short-term price correction or consolidation. Seasonal patterns in Boule Diagnostics' returns can persist when driven by structural factors like earnings calendars or index rebalancing.

Boule Diagnostics Related Equities

These firms work in a similar space as Boule Diagnostics within the Health Care space and serve as useful points for comparison. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across Boule Diagnostics' peer group. Finding which peers are closest to Boule Diagnostics in business model helps sharpen the comparison.
 Risk & Return  Correlation

Boule Diagnostics Market Strength Events

Analyzing market strength indicators for Boule Diagnostics enables investors to understand relative stock momentum. Investors use these tools to determine the best times to initiate or close positions in Boule Diagnostics AB. Market strength indicators support more precise timing of Boule Diagnostics AB positions across market cycles.

Boule Diagnostics Risk Indicators

Identifying and analyzing Boule Diagnostics' key risk indicators is a foundational step in projecting how its price may evolve. This process involves measuring the level of investment risk in Boule Diagnostics' and determining how best to manage it. Studying Boule Diagnostics' risk indicators helps investors understand the risk level of boule stock.
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 Boule Diagnostics

Story coverage around Boule Diagnostics AB often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.

Boule Diagnostics Short Properties

Reviewing short-oriented indicators for Boule Diagnostics AB is useful because long and short participants often create very different signals for timing and volatility. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
Common Stock Shares Outstanding107.5 M
Cash And Short Term Investments38.2 M

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