LivePerson Stock Forecast - Simple Exponential Smoothing
| LPSN Stock | ILS 218.70 1.60 0.74% |
The Simple Exponential Smoothing forecasted value of LivePerson on the next trading day is expected to be 218.70 with a mean absolute deviation of 35.12 and the sum of the absolute errors of 2,107. LivePerson Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast LivePerson stock prices and determine the direction of LivePerson's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of LivePerson's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of LivePerson to cross-verify your projections. For information on how to trade LivePerson Stock refer to our How to Trade LivePerson Stock guide.LivePerson |
Most investors in LivePerson 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 LivePerson's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets LivePerson's price structures and extracts relationships that further increase the generated results' accuracy.
LivePerson simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for LivePerson are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as LivePerson prices get older. LivePerson Simple Exponential Smoothing Price Forecast For the 24th of April
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of LivePerson on the next trading day is expected to be 218.70 with a mean absolute deviation of 35.12, mean absolute percentage error of 4,956, and the sum of the absolute errors of 2,107.Please note that although there have been many attempts to predict LivePerson 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 LivePerson's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
LivePerson Stock Forecast Pattern
| Backtest LivePerson | LivePerson Price Prediction | Buy or Sell Advice |
LivePerson Forecasted Value
In the context of forecasting LivePerson'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. LivePerson's downside and upside margins for the forecasting period are 210.61 and 226.79, respectively. We have considered LivePerson'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of LivePerson stock data series using in forecasting. Note that when a statistical model is used to represent LivePerson 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 | 124.7809 |
| Bias | Arithmetic mean of the errors | 17.9717 |
| MAD | Mean absolute deviation | 35.1183 |
| MAPE | Mean absolute percentage error | 0.0572 |
| SAE | Sum of the absolute errors | 2107.1 |
Predictive Modules for LivePerson
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as LivePerson. 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 LivePerson'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.
Other Forecasting Options for LivePerson
For every potential investor in LivePerson, whether a beginner or expert, LivePerson's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. LivePerson Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in LivePerson. Basic forecasting techniques help filter out the noise by identifying LivePerson's price trends.LivePerson 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 LivePerson stock to make a market-neutral strategy. Peer analysis of LivePerson could also be used in its relative valuation, which is a method of valuing LivePerson by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
LivePerson 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 LivePerson'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 LivePerson's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
LivePerson Market Strength Events
Market strength indicators help investors to evaluate how LivePerson stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading LivePerson shares will generate the highest return on investment. By undertsting and applying LivePerson stock market strength indicators, traders can identify LivePerson entry and exit signals to maximize returns.
LivePerson Risk Indicators
The analysis of LivePerson'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 LivePerson's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting liveperson 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 | 4.27 | |||
| Standard Deviation | 7.52 | |||
| Variance | 56.59 |
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 LivePerson 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, LivePerson's short interest history, or implied volatility extrapolated from LivePerson options trading.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of LivePerson to cross-verify your projections. For information on how to trade LivePerson Stock refer to our How to Trade LivePerson Stock guide.You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for LivePerson Stock analysis
When running LivePerson's price analysis, check to measure LivePerson'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 LivePerson is operating at the current time. Most of LivePerson's value examination focuses on studying past and present price action to predict the probability of LivePerson's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move LivePerson's price. Additionally, you may evaluate how the addition of LivePerson to your portfolios can decrease your overall portfolio volatility.
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