Zuora Stock Forecast - 4 Period Moving Average

ZUODelisted Stock  USD 10.02  0.00  0.00%   
The 4 Period Moving Average forecasted value of Zuora Inc on the next trading day is expected to be 10.01 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.85. Zuora Stock Forecast is based on your current time horizon.
  
A four-period moving average forecast model for Zuora Inc is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Zuora 4 Period Moving Average Price Forecast For the 24th of March

Given 90 days horizon, the 4 Period Moving Average forecasted value of Zuora Inc on the next trading day is expected to be 10.01 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0004, and the sum of the absolute errors of 0.85.
Please note that although there have been many attempts to predict Zuora 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 Zuora's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Zuora Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Zuora stock data series using in forecasting. Note that when a statistical model is used to represent Zuora 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.
AICAkaike Information Criteria102.8055
BiasArithmetic mean of the errors -0.005
MADMean absolute deviation0.015
MAPEMean absolute percentage error0.0015
SAESum of the absolute errors0.8525
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Zuora. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Zuora Inc and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Zuora

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Zuora Inc. 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 Zuora'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.
Hype
Prediction
LowEstimatedHigh
9.9010.0210.14
Details
Intrinsic
Valuation
LowRealHigh
8.378.4911.02
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9.9710.0010.03
Details

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 Risk & Return  Correlation

Zuora Market Strength Events

Market strength indicators help investors to evaluate how Zuora stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Zuora shares will generate the highest return on investment. By undertsting and applying Zuora stock market strength indicators, traders can identify Zuora Inc entry and exit signals to maximize returns.

Zuora Risk Indicators

The analysis of Zuora'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 Zuora's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting zuora 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.
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.
Check out Your Current Watchlist to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in employment.
You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.

Other Consideration for investing in Zuora Stock

If you are still planning to invest in Zuora Inc 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 Zuora's history and understand the potential risks before investing.
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