Twitter Stock Forecast - Naive Prediction

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TWTR -- USA Stock  

 Earnings Call  In Two Weeks

Twitter Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Twitter historical stock prices and determine the direction of Twitter's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Twitter historical fundamentals such as revenue growth or operating cash flow patterns. Although Twitter naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Twitter systematic risk associated with finding meaningful patterns of Twitter fundamentals over time. Additionally, take a look at Historical Fundamental Analysis of Twitter to cross-verify your projections.

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Twitter Accounts Payable Turnover is relatively stable at the moment as compared to the past year. Twitter reported last year Accounts Payable Turnover of 22.59. As of 07/03/2020, Accrued Expenses Turnover is likely to grow to 9.60, while Receivables Turnover is likely to drop 3.90. . As of 07/03/2020, Issuance Purchase of Equity Shares is likely to grow to about 29.5 M, while Weighted Average Shares is likely to drop slightly above 612.1 M.
A naive forecasting model for Twitter is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Twitter value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Twitter Naive Prediction Price Forecast For the 4th of July

Given 30 days horizon, the forecasted value of Twitter on the next trading day is expected to be  29.67  with a mean absolute deviation of  0.94 , mean absolute percentage error of  1.30 , and the sum of the absolute errors of  57.26 
 29.67 

Twitter Stock Forecast Pattern

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Twitter Forecasted Value

Market Value
30.89
3rd of July 2020
29.67
Expected Value
33.39
Upside

Model Predictive Factors

AICAkaike Information Criteria118.3741
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9387
MAPEMean absolute percentage error0.0308
SAESum of the absolute errors57.2604
This model is not at all useful as a medium-long range forecasting tool of Twitter. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Twitter. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Twitter

There are currently many different techniques concerning forecasting the market as a whole as well as predicting future values of individual securities such as Twitter. 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.
Earnings
Estimates (7)
LowProjected EPSHigh
-0.32-0.10.08
Details
Hype
Prediction
LowEstimated ValueHigh
27.1330.8534.57
Details
Intrinsic
Valuation
LowReal ValueHigh
27.9831.7035.42
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
28.9132.9536.99
Details
24 Analysts
Consensus
LowTarget PriceHigh
24.0032.3847.00
Details

Other Forecasting Options for Twitter

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Twitter Technical and Predictive Analytics

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Twitter Risk Indicators

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Additionally, take a look at Historical Fundamental Analysis of Twitter to cross-verify your projections. Please also try Stock Screener module to find equities using custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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