Applied Opt Stock Forecast - Naive Prediction

AAOI Stock  USD 20.43  0.65  3.08%   
The Naive Prediction forecasted value of Applied Opt on the next trading day is expected to be 26.98 with a mean absolute deviation of 1.72 and the sum of the absolute errors of 105.17. Applied Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Applied Opt's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of now, Applied Opt's Inventory Turnover is decreasing as compared to previous years. The Applied Opt's current Fixed Asset Turnover is estimated to increase to 1.67, while Payables Turnover is projected to decrease to 1.70. . The current Common Stock Shares Outstanding is estimated to decrease to about 21.7 M. The Applied Opt's current Net Loss is estimated to increase to about (56.8 M).

Open Interest Against 2025-06-20 Applied Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Applied Opt's 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 Applied Opt's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Applied Opt stock based on available contracts left at the end of a trading day.
3530Calls Open InterestPuts Open Interest100%
Please note that to derive more accurate forecasting about market movement from the current Applied Opt's open interest, investors have to compare it to Applied Opt's 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 Applied Opt 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 Applied. 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.

Applied Opt Cash Forecast

Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Applied Opt's financial statements, enabling forecasts of their impact on future stock prices.
 
Cash  
First Reported
2011-12-31
Previous Quarter
34.1 M
Current Value
67.4 M
Quarterly Volatility
21.8 M
 
Yuan Drop
 
Covid
A naive forecasting model for Applied Opt is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Applied Opt 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.

Applied Opt Naive Prediction Price Forecast For the 24th of March

Given 90 days horizon, the Naive Prediction forecasted value of Applied Opt on the next trading day is expected to be 26.98 with a mean absolute deviation of 1.72, mean absolute percentage error of 4.54, and the sum of the absolute errors of 105.17.
Please note that although there have been many attempts to predict Applied 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 Applied Opt's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Applied Opt Stock Forecast Pattern

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Applied Opt Forecasted Value

In the context of forecasting Applied Opt'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. Applied Opt's downside and upside margins for the forecasting period are 18.15 and 35.80, respectively. We have considered Applied Opt'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
20.43
26.98
Expected Value
35.80
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 Applied Opt stock data series using in forecasting. Note that when a statistical model is used to represent Applied Opt 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 Criteria119.6234
BiasArithmetic mean of the errors None
MADMean absolute deviation1.7241
MAPEMean absolute percentage error0.0721
SAESum of the absolute errors105.1719
This model is not at all useful as a medium-long range forecasting tool of Applied Opt. 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 Applied Opt. 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 Applied Opt

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Applied Opt. 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
11.6120.4329.25
Details
Intrinsic
Valuation
LowRealHigh
11.3320.1528.97
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.5820.7428.89
Details
4 Analysts
Consensus
LowTargetHigh
31.1734.2538.02
Details

Other Forecasting Options for Applied Opt

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

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

Applied Opt 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 Applied Opt'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 Applied Opt's current price.

Applied Opt Market Strength Events

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

Applied Opt Risk Indicators

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

Currently Active Assets on Macroaxis

When determining whether Applied Opt offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Applied Opt's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Applied Opt Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Applied Opt Stock:
Check out Historical Fundamental Analysis of Applied Opt to cross-verify your projections.
For more detail on how to invest in Applied Stock please use our How to Invest in Applied Opt guide.
You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Is Communications Equipment space 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 Applied Opt. If investors know Applied 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 Applied Opt listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(4.50)
Revenue Per Share
6.003
Quarterly Revenue Growth
0.659
Return On Assets
(0.09)
Return On Equity
(0.84)
The market value of Applied Opt is measured differently than its book value, which is the value of Applied that is recorded on the company's balance sheet. Investors also form their own opinion of Applied Opt's value that differs from its market value or its book value, called intrinsic value, which is Applied Opt's 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 Applied Opt's market value can be influenced by many factors that don't directly affect Applied Opt's 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 Applied Opt's value and its price as these two are different measures arrived at by different means. Investors typically determine if Applied Opt is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Applied Opt's 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.