Logility Stock Forecast - Simple Moving Average

LGTY Stock   10.43  0.09  0.87%   
The Simple Moving Average forecasted value of Logility on the next trading day is expected to be 10.43 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.87. Logility Stock Forecast is based on your current time horizon.
  
At this time, Logility's Net Invested Capital is fairly stable compared to the past year. Property Plant And Equipment Gross is likely to rise to about 39.8 M in 2024, whereas Capital Lease Obligations is likely to drop slightly above 407 K in 2024.
A two period moving average forecast for Logility is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Logility Simple Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Logility on the next trading day is expected to be 10.43 with a mean absolute deviation of 0.18, mean absolute percentage error of 0.08, and the sum of the absolute errors of 10.87.
Please note that although there have been many attempts to predict Logility 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 Logility's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Logility Stock Forecast Pattern

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Logility Forecasted Value

In the context of forecasting Logility'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. Logility's downside and upside margins for the forecasting period are 8.15 and 12.71, respectively. We have considered Logility'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.
Market Value
10.43
10.43
Expected Value
12.71
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Logility stock data series using in forecasting. Note that when a statistical model is used to represent Logility 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 Criteria111.8692
BiasArithmetic mean of the errors 0.0098
MADMean absolute deviation0.1842
MAPEMean absolute percentage error0.0173
SAESum of the absolute errors10.87
The simple moving average model is conceptually a linear regression of the current value of Logility price series against current and previous (unobserved) value of Logility. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Logility

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Logility. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Logility's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
8.1510.4312.71
Details
Intrinsic
Valuation
LowRealHigh
9.3913.3115.59
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9.8810.9512.01
Details
3 Analysts
Consensus
LowTargetHigh
14.5616.0017.76
Details

Other Forecasting Options for Logility

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

Logility 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 Logility stock to make a market-neutral strategy. Peer analysis of Logility could also be used in its relative valuation, which is a method of valuing Logility by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Logility 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 Logility'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 Logility's current price.

Logility Market Strength Events

Market strength indicators help investors to evaluate how Logility stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Logility shares will generate the highest return on investment. By undertsting and applying Logility stock market strength indicators, traders can identify Logility entry and exit signals to maximize returns.

Logility Risk Indicators

The analysis of Logility'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 Logility's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting logility 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.
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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Logility Stock Analysis

When running Logility's price analysis, check to measure Logility's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Logility is operating at the current time. Most of Logility's value examination focuses on studying past and present price action to predict the probability of Logility's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logility's price. Additionally, you may evaluate how the addition of Logility to your portfolios can decrease your overall portfolio volatility.