LSI Industries Stock Forecast - Naive Prediction

LYTS Stock  USD 13.99  0.02  0.14%   
The Naive Prediction forecasted value of LSI Industries on the next trading day is expected to be 13.17 with a mean absolute deviation of  0.21  and the sum of the absolute errors of 12.72. LSI Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast LSI Industries stock prices and determine the direction of LSI Industries's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of LSI Industries' historical fundamentals, such as revenue growth or operating cash flow patterns. Although LSI Industries' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of LSI Industries' systematic risk associated with finding meaningful patterns of LSI Industries fundamentals over time.
Check out Historical Fundamental Analysis of LSI Industries to cross-verify your projections.
For more information on how to buy LSI Stock please use our How to Invest in LSI Industries guide.
  
Fixed Asset Turnover is likely to gain to 18.47 in 2024, whereas Inventory Turnover is likely to drop 5.71 in 2024. . Net Income Applicable To Common Shares is likely to gain to about 14.2 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 22.3 M in 2024.

Open Interest Against 2024-04-19 LSI Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast LSI Industries' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in LSI Industries' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for LSI Industries stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current LSI Industries' open interest, investors have to compare it to LSI Industries' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of LSI Industries is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in LSI. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in LSI Industries 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 LSI Industries' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets LSI Industries' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for LSI Industries is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of LSI Industries value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

LSI Industries Naive Prediction Price Forecast For the 20th of April

Given 90 days horizon, the Naive Prediction forecasted value of LSI Industries on the next trading day is expected to be 13.17 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.06, and the sum of the absolute errors of 12.72.
Please note that although there have been many attempts to predict LSI 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 LSI Industries' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

LSI Industries Stock Forecast Pattern

Backtest LSI IndustriesLSI Industries Price PredictionBuy or Sell Advice 

LSI Industries Forecasted Value

In the context of forecasting LSI Industries' 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. LSI Industries' downside and upside margins for the forecasting period are 11.33 and 15.00, respectively. We have considered LSI Industries' 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
13.99
13.17
Expected Value
15.00
Upside

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 LSI Industries stock data series using in forecasting. Note that when a statistical model is used to represent LSI Industries 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 Criteria115.3571
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2086
MAPEMean absolute percentage error0.0145
SAESum of the absolute errors12.7232
This model is not at all useful as a medium-long range forecasting tool of LSI Industries. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict LSI Industries. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for LSI Industries

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LSI Industries. 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 LSI Industries' 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
12.1513.9915.83
Details
Intrinsic
Valuation
LowRealHigh
10.1011.9415.39
Details
Bollinger
Band Projection (param)
LowMiddleHigh
13.9613.9814.00
Details
3 Analysts
Consensus
LowTargetHigh
18.2020.0022.20
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as LSI Industries. Your research has to be compared to or analyzed against LSI Industries' peers to derive any actionable benefits. When done correctly, LSI Industries' 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 LSI Industries.

Other Forecasting Options for LSI Industries

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

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

LSI Industries 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 LSI Industries' 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 LSI Industries' current price.

LSI Industries Market Strength Events

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

LSI Industries Risk Indicators

The analysis of LSI Industries' 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 LSI Industries' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting lsi 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
When determining whether LSI Industries is a strong investment it is important to analyze LSI Industries' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact LSI Industries' future performance. For an informed investment choice regarding LSI Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of LSI Industries to cross-verify your projections.
For more information on how to buy LSI Stock please use our How to Invest in LSI Industries guide.
You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.

Complementary Tools for LSI Stock analysis

When running LSI Industries' price analysis, check to measure LSI Industries' 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 LSI Industries is operating at the current time. Most of LSI Industries' value examination focuses on studying past and present price action to predict the probability of LSI Industries' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LSI Industries' price. Additionally, you may evaluate how the addition of LSI Industries to your portfolios can decrease your overall portfolio volatility.
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Commodity Channel
Use Commodity Channel Index to analyze current equity momentum
Cryptocurrency Center
Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Bonds Directory
Find actively traded corporate debentures issued by US companies
Idea Breakdown
Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Is LSI Industries' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of LSI Industries. If investors know LSI will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about LSI Industries listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
(0.09)
Dividend Share
0.2
Earnings Share
0.91
Revenue Per Share
16.538
Quarterly Revenue Growth
(0.15)
The market value of LSI Industries is measured differently than its book value, which is the value of LSI that is recorded on the company's balance sheet. Investors also form their own opinion of LSI Industries' value that differs from its market value or its book value, called intrinsic value, which is LSI Industries' true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because LSI Industries' market value can be influenced by many factors that don't directly affect LSI Industries' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between LSI Industries' value and its price as these two are different measures arrived at by different means. Investors typically determine if LSI Industries is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, LSI Industries' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.