Scientific Games Stock Forecast - 20 Period Moving Average
| TJW Stock | EUR 91.00 1.00 1.09% |
The 20 Period Moving Average forecasted value of Scientific Games on the next trading day is expected to be 90.15 with a mean absolute deviation of 2.96 and the sum of the absolute errors of 124.27. Scientific Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Scientific Games' historical fundamentals, such as revenue growth or operating cash flow patterns.
Scientific |
Scientific Games 20 Period Moving Average Price Forecast For the 30th of November
Given 90 days horizon, the 20 Period Moving Average forecasted value of Scientific Games on the next trading day is expected to be 90.15 with a mean absolute deviation of 2.96, mean absolute percentage error of 17.92, and the sum of the absolute errors of 124.27.Please note that although there have been many attempts to predict Scientific 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 Scientific Games' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Scientific Games Stock Forecast Pattern
| Backtest Scientific Games | Scientific Games Price Prediction | Buy or Sell Advice |
Scientific Games Forecasted Value
In the context of forecasting Scientific Games' 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. Scientific Games' downside and upside margins for the forecasting period are 87.32 and 92.98, respectively. We have considered Scientific Games' 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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Scientific Games stock data series using in forecasting. Note that when a statistical model is used to represent Scientific Games 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 | 86.0767 |
| Bias | Arithmetic mean of the errors | -0.3196 |
| MAD | Mean absolute deviation | 2.9589 |
| MAPE | Mean absolute percentage error | 0.0336 |
| SAE | Sum of the absolute errors | 124.275 |
Predictive Modules for Scientific Games
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Scientific Games. 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 Scientific Games
For every potential investor in Scientific, whether a beginner or expert, Scientific Games' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Scientific Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Scientific. Basic forecasting techniques help filter out the noise by identifying Scientific Games' price trends.Scientific Games 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 Scientific Games stock to make a market-neutral strategy. Peer analysis of Scientific Games could also be used in its relative valuation, which is a method of valuing Scientific Games by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Scientific Games 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 Scientific Games' 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 Scientific Games' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Scientific Games Market Strength Events
Market strength indicators help investors to evaluate how Scientific Games stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Scientific Games shares will generate the highest return on investment. By undertsting and applying Scientific Games stock market strength indicators, traders can identify Scientific Games entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 91.0 | |||
| Day Typical Price | 91.0 | |||
| Price Action Indicator | (0.50) | |||
| Period Momentum Indicator | (1.00) |
Scientific Games Risk Indicators
The analysis of Scientific Games' 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 Scientific Games' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting scientific 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 | 1.74 | |||
| Standard Deviation | 2.79 | |||
| Variance | 7.78 |
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
Other Information on Investing in Scientific Stock
Scientific Games financial ratios help investors to determine whether Scientific Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Scientific with respect to the benefits of owning Scientific Games security.