Synopsys Stock Forecast - Simple Moving Average
| SNPS Stock | USD 569.36 2.09 0.37% |
The Simple Moving Average forecasted value of Synopsys on the next trading day is expected to be 570.40 with a mean absolute deviation of 8.52 and the sum of the absolute errors of 502.95. Synopsys Stock Forecast is based on your current time horizon.
Synopsys |
Open Interest Against 2024-06-21 Synopsys Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Synopsys' 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 Synopsys' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Synopsys stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Synopsys' open interest, investors have to compare it to Synopsys' 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 Synopsys 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 Synopsys. 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 Synopsys 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 Synopsys' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Synopsys' price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Synopsys is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility. Synopsys Simple Moving Average Price Forecast For the 11th of June 2024
Given 90 days horizon, the Simple Moving Average forecasted value of Synopsys on the next trading day is expected to be 570.40 with a mean absolute deviation of 8.52, mean absolute percentage error of 116.38, and the sum of the absolute errors of 502.95.Please note that although there have been many attempts to predict Synopsys 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 Synopsys' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Synopsys Stock Forecast Pattern
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Synopsys Forecasted Value
In the context of forecasting Synopsys' 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. Synopsys' downside and upside margins for the forecasting period are 568.73 and 572.08, respectively. We have considered Synopsys' 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 Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Synopsys stock data series using in forecasting. Note that when a statistical model is used to represent Synopsys 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 | 119.1916 |
| Bias | Arithmetic mean of the errors | -0.4305 |
| MAD | Mean absolute deviation | 8.5246 |
| MAPE | Mean absolute percentage error | 0.0152 |
| SAE | Sum of the absolute errors | 502.95 |
Predictive Modules for Synopsys
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Synopsys. 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 Synopsys' 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.
Other Forecasting Options for Synopsys
For every potential investor in Synopsys, whether a beginner or expert, Synopsys' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Synopsys Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Synopsys. Basic forecasting techniques help filter out the noise by identifying Synopsys' price trends.Synopsys 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 Synopsys stock to make a market-neutral strategy. Peer analysis of Synopsys could also be used in its relative valuation, which is a method of valuing Synopsys by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Synopsys 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 Synopsys' 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 Synopsys' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Synopsys Market Strength Events
Market strength indicators help investors to evaluate how Synopsys stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Synopsys shares will generate the highest return on investment. By undertsting and applying Synopsys stock market strength indicators, traders can identify Synopsys entry and exit signals to maximize returns.
Synopsys Risk Indicators
The analysis of Synopsys' 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 Synopsys' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting synopsys 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 | 1.3 | |||
| Semi Deviation | 1.6 | |||
| Standard Deviation | 1.69 | |||
| Variance | 2.86 | |||
| Downside Variance | 2.74 | |||
| Semi Variance | 2.56 | |||
| Expected Short fall | (1.27) |
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.
Pair Trading with Synopsys
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Synopsys position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Synopsys will appreciate offsetting losses from the drop in the long position's value.Moving against Synopsys Stock
The ability to find closely correlated positions to Synopsys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Synopsys when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Synopsys - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Synopsys to buy it.
The correlation of Synopsys is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Synopsys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Synopsys moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Synopsys can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Synopsys Stock Analysis
When running Synopsys' price analysis, check to measure Synopsys' 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 Synopsys is operating at the current time. Most of Synopsys' value examination focuses on studying past and present price action to predict the probability of Synopsys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Synopsys' price. Additionally, you may evaluate how the addition of Synopsys to your portfolios can decrease your overall portfolio volatility.