Limelight Networks Stock Forecast - Triple Exponential Smoothing
| LLNWDelisted Stock | USD 3.67 0.05 1.38% |
The Triple Exponential Smoothing forecasted value of Limelight Networks on the next trading day is expected to be 3.74 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.37. Limelight Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Limelight Networks stock prices and determine the direction of Limelight Networks's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Limelight Networks' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. Limelight |
Most investors in Limelight Networks 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 Limelight Networks' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Limelight Networks' price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Limelight Networks - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Limelight Networks prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Limelight Networks price movement. However, neither of these exponential smoothing models address any seasonality of Limelight Networks. Limelight Networks Triple Exponential Smoothing Price Forecast For the 26th of April
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Limelight Networks on the next trading day is expected to be 3.74 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.37.Please note that although there have been many attempts to predict Limelight 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 Limelight Networks' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Limelight Networks Stock Forecast Pattern
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Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Limelight Networks stock data series using in forecasting. Note that when a statistical model is used to represent Limelight Networks 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 | -0.0281 |
| MAD | Mean absolute deviation | 0.091 |
| MAPE | Mean absolute percentage error | 0.0335 |
| SAE | Sum of the absolute errors | 5.3681 |
Predictive Modules for Limelight Networks
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Limelight Networks. 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 Limelight Networks' 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.
Limelight Networks 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 Limelight Networks stock to make a market-neutral strategy. Peer analysis of Limelight Networks could also be used in its relative valuation, which is a method of valuing Limelight Networks by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Limelight Networks Market Strength Events
Market strength indicators help investors to evaluate how Limelight Networks stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Limelight Networks shares will generate the highest return on investment. By undertsting and applying Limelight Networks stock market strength indicators, traders can identify Limelight Networks entry and exit signals to maximize returns.
Limelight Networks Risk Indicators
The analysis of Limelight Networks' 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 Limelight Networks' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting limelight 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 | 2.78 | |||
| Semi Deviation | 4.4 | |||
| Standard Deviation | 4.51 | |||
| Variance | 20.35 | |||
| Downside Variance | 25.27 | |||
| Semi Variance | 19.35 | |||
| Expected Short fall | (2.91) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Limelight Networks in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Limelight Networks' short interest history, or implied volatility extrapolated from Limelight Networks options trading.
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Try AI Portfolio ArchitectCheck out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Other Consideration for investing in Limelight Stock
If you are still planning to invest in Limelight Networks check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Limelight Networks' history and understand the potential risks before investing.
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