SW Seed Stock Forecast - Double Exponential Smoothing
| SANW Stock | USD 9.54 2.04 27.20% |
The Double Exponential Smoothing forecasted value of SW Seed Company on the next trading day is expected to be 10.44 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 14.88. SANW Stock Forecast is based on your current time horizon.
SANW |
SW Seed Double Exponential Smoothing Price Forecast For the 27th of November
Given 90 days horizon, the Double Exponential Smoothing forecasted value of SW Seed Company on the next trading day is expected to be 10.44 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.15, and the sum of the absolute errors of 14.88.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 Seed | SW Seed Price Prediction | Buy 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 0.1 and 21.74, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | -0.0796 |
| MAD | Mean absolute deviation | 0.2522 |
| MAPE | Mean absolute percentage error | 0.0654 |
| SAE | Sum of the absolute errors | 14.8787 |
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.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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Price Transform | ||
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| Volume Indicators |
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.
| Accumulation Distribution | 66053.43 | |||
| Daily Balance Of Power | 0.7556 | |||
| Rate Of Daily Change | 1.27 | |||
| Day Median Price | 9.33 | |||
| Day Typical Price | 9.4 | |||
| Price Action Indicator | 1.23 | |||
| Period Momentum Indicator | 2.04 |
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.
| Mean Deviation | 6.85 | |||
| Semi Deviation | 6.33 | |||
| Standard Deviation | 10.68 | |||
| Variance | 114.08 | |||
| Downside Variance | 45.34 | |||
| Semi Variance | 40.06 | |||
| Expected Short fall | (9.51) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for SANW Stock Analysis
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.