Lulus Fashion Stock Forecast - Triple Exponential Smoothing

LVLU Stock  USD 1.16  0.08  7.41%   
The Triple Exponential Smoothing forecasted value of Lulus Fashion Lounge on the next trading day is expected to be 1.13 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.16. Lulus Stock Forecast is based on your current time horizon.
  
At this time, Lulus Fashion's Inventory Turnover is comparatively stable compared to the past year. Receivables Turnover is likely to gain to 89.30 in 2024, whereas Payables Turnover is likely to drop 23.07 in 2024. . Common Stock Shares Outstanding is likely to gain to about 43.1 M in 2024. Net Income Applicable To Common Shares is likely to gain to about 3.5 M in 2024.
Triple exponential smoothing for Lulus Fashion - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Lulus Fashion prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Lulus Fashion price movement. However, neither of these exponential smoothing models address any seasonality of Lulus Fashion Lounge.

Lulus Fashion Triple Exponential Smoothing Price Forecast For the 26th of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Lulus Fashion Lounge on the next trading day is expected to be 1.13 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.16.
Please note that although there have been many attempts to predict Lulus 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 Lulus Fashion's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lulus Fashion Stock Forecast Pattern

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Lulus Fashion Forecasted Value

In the context of forecasting Lulus Fashion'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. Lulus Fashion's downside and upside margins for the forecasting period are 0.01 and 8.01, respectively. We have considered Lulus Fashion'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
1.16
1.13
Expected Value
8.01
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Lulus Fashion stock data series using in forecasting. Note that when a statistical model is used to represent Lulus Fashion 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0124
MADMean absolute deviation0.0693
MAPEMean absolute percentage error0.0495
SAESum of the absolute errors4.1595
As with simple exponential smoothing, in triple exponential smoothing models past Lulus Fashion observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Lulus Fashion Lounge observations.

Predictive Modules for Lulus Fashion

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lulus Fashion Lounge. 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
LowEstimatedHigh
0.061.158.03
Details
Intrinsic
Valuation
LowRealHigh
0.081.548.42
Details
4 Analysts
Consensus
LowTargetHigh
2.522.773.07
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.18-0.15-0.12
Details

Other Forecasting Options for Lulus Fashion

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

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

Lulus Fashion Lounge 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 Lulus Fashion'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 Lulus Fashion's current price.

Lulus Fashion Market Strength Events

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

Lulus Fashion Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Lulus Stock Analysis

When running Lulus Fashion's price analysis, check to measure Lulus Fashion'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 Lulus Fashion is operating at the current time. Most of Lulus Fashion's value examination focuses on studying past and present price action to predict the probability of Lulus Fashion's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lulus Fashion's price. Additionally, you may evaluate how the addition of Lulus Fashion to your portfolios can decrease your overall portfolio volatility.