SW Seed Stock Forecast - Simple Regression

SANW Stock  USD 0.39  0.03  6.94%   
The Simple Regression forecasted value of SW Seed Company on the next trading day is expected to be 0.37 with a mean absolute deviation of  0.03  and the sum of the absolute errors of 1.83. SANW Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SW Seed stock prices and determine the direction of SW Seed Company's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SW Seed's historical fundamentals, such as revenue growth or operating cash flow patterns. Although SW Seed's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of SW Seed's systematic risk associated with finding meaningful patterns of SW Seed fundamentals over time.
Check out Historical Fundamental Analysis of SW Seed to cross-verify your projections.
  
At this time, SW Seed's Inventory Turnover is fairly stable compared to the past year. Receivables Turnover is likely to climb to 4.65 in 2024, whereas Payables Turnover is likely to drop 4.84 in 2024. . Common Stock Shares Outstanding is likely to climb to about 51.8 M in 2024. Net Income Applicable To Common Shares is likely to climb to about 13.2 M in 2024.

Open Interest Against 2024-05-17 SANW Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast SW Seed'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 SW Seed's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for SW Seed stock based on available contracts left at the end of a trading day.
No Open Interest
Please note that to derive more accurate forecasting about market movement from the current SW Seed's open interest, investors have to compare it to SW Seed'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 SW Seed 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 SANW. 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 SW Seed 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 SW Seed's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SW Seed's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through SW Seed price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

SW Seed Simple Regression Price Forecast For the 16th of May 2024

Given 90 days horizon, the Simple Regression forecasted value of SW Seed Company on the next trading day is expected to be 0.37 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.83.
Please note that although there have been many attempts to predict SANW 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 SW Seed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SW Seed Stock Forecast Pattern

Backtest SW SeedSW Seed Price PredictionBuy or Sell Advice 

SW Seed Forecasted Value

In the context of forecasting SW Seed'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. SW Seed's downside and upside margins for the forecasting period are 0 and 6.24, respectively. We have considered SW Seed'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
0.39
0.37
Expected Value
6.24
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of SW Seed stock data series using in forecasting. Note that when a statistical model is used to represent SW Seed 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 Criteria111.8332
BiasArithmetic mean of the errors None
MADMean absolute deviation0.03
MAPEMean absolute percentage error0.0615
SAESum of the absolute errors1.8329
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as SW Seed Company historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for SW Seed

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SW Seed Company. 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 SW Seed'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
0.020.356.22
Details
Intrinsic
Valuation
LowRealHigh
0.051.026.89
Details
1 Analysts
Consensus
LowTargetHigh
2.733.003.33
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SW Seed. Your research has to be compared to or analyzed against SW Seed's peers to derive any actionable benefits. When done correctly, SW Seed's 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 SW Seed Company.

Other Forecasting Options for SW Seed

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

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

SW Seed Company 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 SW Seed'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 SW Seed's current price.

SW Seed Market Strength Events

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

SW Seed Risk Indicators

The analysis of SW Seed'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 SW Seed's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sanw 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 SW Seed Company is a strong investment it is important to analyze SW Seed's 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 SW Seed's future performance. For an informed investment choice regarding SANW Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of SW Seed to cross-verify your projections.
You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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When running SW Seed's price analysis, check to measure SW Seed'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 SW Seed is operating at the current time. Most of SW Seed's value examination focuses on studying past and present price action to predict the probability of SW Seed's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SW Seed's price. Additionally, you may evaluate how the addition of SW Seed to your portfolios can decrease your overall portfolio volatility.
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Is SW Seed's 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 SW Seed. If investors know SANW 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 SW Seed listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
0.3
Revenue Per Share
1.583
Quarterly Revenue Growth
(0.16)
Return On Assets
(0.07)
Return On Equity
0.2284
The market value of SW Seed Company is measured differently than its book value, which is the value of SANW that is recorded on the company's balance sheet. Investors also form their own opinion of SW Seed's value that differs from its market value or its book value, called intrinsic value, which is SW Seed'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 SW Seed's market value can be influenced by many factors that don't directly affect SW Seed'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 SW Seed's value and its price as these two are different measures arrived at by different means. Investors typically determine if SW Seed is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SW Seed'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.