Tetra Technologies Stock Forecast - Naive Prediction

TTI
 Stock
  

USD 4.16  0.14  3.48%   

Tetra Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Tetra Technologies historical stock prices and determine the direction of Tetra Technologies's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Tetra Technologies historical fundamentals such as revenue growth or operating cash flow patterns.
Additionally, take a look at Historical Fundamental Analysis of Tetra Technologies to cross-verify your projections.
  

Open Interest Agains t 2022-10-21 Tetra Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Tetra Technologies' 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 Tetra Technologies' options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Tetra Technologies stock based on available contracts left at the end of a trading day.
Please note, to derive more accurate forecasting about market movement from the current Tetra Technologies' open interest, investors have to compare it to Tetra Technologies' 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 Tetra Technologies 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 Tetra. 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 Tetra Technologies 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 Tetra Technologies' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Tetra Technologies' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Tetra Technologies is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Tetra Technologies 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.

Tetra Technologies Naive Prediction Price Forecast For the 6th of October

Given 90 days horizon, the Naive Prediction forecasted value of Tetra Technologies on the next trading day is expected to be 4.11 with a mean absolute deviation of 0.17, mean absolute percentage error of 0.042021, and the sum of the absolute errors of 10.36.
Please note that although there have been many attempts to predict Tetra 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 Tetra Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tetra Technologies Stock Forecast Pattern

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Tetra Technologies Forecasted Value

In the context of forecasting Tetra Technologies' 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. Tetra Technologies' downside and upside margins for the forecasting period are 0.0416 and 8.35, respectively. We have considered Tetra Technologies' 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 4.16
0.0416
Downside
4.11
Expected Value
8.35
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 Tetra Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Tetra Technologies 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 Criteria114.9409
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1699
MAPEMean absolute percentage error0.0432
SAESum of the absolute errors10.3614
This model is not at all useful as a medium-long range forecasting tool of Tetra Technologies. 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 Tetra Technologies. 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 Tetra Technologies

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tetra Technologies. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of Tetra Technologies' 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. Please use the tools below to analyze the current value of Tetra Technologies in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
0.214.118.34
Details
Intrinsic
Valuation
LowReal ValueHigh
0.183.687.91
Details
2 Analysts
Consensus
LowTarget PriceHigh
3.004.005.00
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Tetra Technologies. Your research has to be compared to or analyzed against Tetra Technologies' peers to derive any actionable benefits. When done correctly, Tetra Technologies' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Tetra Technologies.

Other Forecasting Options for Tetra Technologies

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

Tetra Technologies 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 Tetra Technologies stock to make a market-neutral strategy. Peer analysis of Tetra Technologies could also be used in its relative valuation, which is a method of valuing Tetra Technologies by comparing valuation metrics with similar companies.
Amazon IncAmerican AirlinesAlcoa CorpApple IncBest BuyCitigroupSentinelone IncCVS CorpChevron CorpHome DepotInternational BusinessIntel CorpMetlifeATT IncTarget Corp
 Risk & Return  Correlation

Tetra Technologies 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 Tetra Technologies' 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 Tetra Technologies' current price.

Tetra Technologies Market Strength Events

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

Tetra Technologies Risk Indicators

The analysis of Tetra Technologies' basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Tetra Technologies' investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Tetra Technologies stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Tetra Technologies without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Risk-Return Analysis

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Additionally, take a look at Historical Fundamental Analysis of Tetra Technologies to cross-verify your projections. You can also try Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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When running Tetra Technologies price analysis, check to measure Tetra Technologies' 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 Tetra Technologies is operating at the current time. Most of Tetra Technologies' value examination focuses on studying past and present price action to predict the probability of Tetra Technologies' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Tetra Technologies' price. Additionally, you may evaluate how the addition of Tetra Technologies to your portfolios can decrease your overall portfolio volatility.
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Is Tetra Technologies' 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 Tetra Technologies. If investors know Tetra 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 Tetra Technologies listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Tetra Technologies is measured differently than its book value, which is the value of Tetra that is recorded on the company's balance sheet. Investors also form their own opinion of Tetra Technologies' value that differs from its market value or its book value, called intrinsic value, which is Tetra Technologies' 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 Tetra Technologies' market value can be influenced by many factors that don't directly affect Tetra Technologies' 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 Tetra Technologies' value and its price as these two are different measures arrived at by different means. Investors typically determine Tetra Technologies value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tetra Technologies' 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.