Larimar Therapeutics Stock Forecast - Simple Regression

Most investors in Larimar Therapeutics cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Larimar Therapeutics' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Larimar Therapeutics' price structures and extracts relationships that further increase the accuracy of the generated results. Simple Regression model is a single variable regression model that attempts to put a straight line through Larimar Therapeutics 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.

Larimar Therapeutics Simple Regression Price Forecast For the 21st of October

Given 90 days horizon, the Simple Regression forecasted value of Larimar Therapeutics on the next trading day is expected to be 6.70 with a mean absolute deviation of 0.46, mean absolute percentage error of 0.31, and the sum of the absolute errors of 27.78.

Larimar Therapeutics Stock Forecast Pattern

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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 Larimar Therapeutics stock data series using in forecasting. Note that when a statistical model is used to represent Larimar Therapeutics 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. 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 Larimar Therapeutics historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Larimar Therapeutics

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Larimar Therapeutics. 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.

Hype Prediction Low Estimated High 3.05 7.66 12.27 Details

Intrinsic Valuation Low Real High 4.74 9.35 13.96 Details

Bollinger Band Projection (param) Low Middle High 6.10 7.11 8.13 Details

11 Analysts Consensus Low Target High 11.27 12.38 13.74 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Larimar Therapeutics. Your research has to be compared to or analyzed against Larimar Therapeutics' peers to derive any actionable benefits. When done correctly, Larimar Therapeutics' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Larimar Therapeutics.

Other Forecasting Options for Larimar Therapeutics

For every potential investor in Larimar, whether a beginner or expert, Larimar Therapeutics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Larimar Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Larimar. Basic forecasting techniques help filter out the noise by identifying Larimar Therapeutics' price trends.

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Larimar Therapeutics 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 Larimar Therapeutics' 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 Larimar Therapeutics' current price.

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Pair Trading with Larimar Therapeutics

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Larimar Therapeutics position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Larimar Therapeutics will appreciate offsetting losses from the drop in the long position's value.

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