Rigetti Computing Stock Forecast - Naive Prediction

RGTI Stock  USD 2.40  0.20  9.09%   
The Naive Prediction forecasted value of Rigetti Computing on the next trading day is expected to be 2.91 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.15. Rigetti Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Rigetti Computing's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The Rigetti Computing's current Inventory Turnover is estimated to increase to 1.29, while Payables Turnover is projected to decrease to 0.46. . The current Common Stock Shares Outstanding is estimated to decrease to about 86.2 M. The current Net Loss is estimated to decrease to about (67.6 M).

Rigetti Computing Cash Forecast

Predicting cash flow or other financial metrics requires analysts to utilize a variety of statistical methods, techniques, and algorithms. These tools help uncover hidden patterns in the Rigetti Computing's financial statements, enabling forecasts of their impact on future stock prices.
 
Cash  
First Reported
2020-12-31
Previous Quarter
20.7 M
Current Value
20.3 M
Quarterly Volatility
54.7 M
 
Covid
A naive forecasting model for Rigetti Computing is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Rigetti Computing 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.

Rigetti Computing Naive Prediction Price Forecast For the 29th of November

Given 90 days horizon, the Naive Prediction forecasted value of Rigetti Computing on the next trading day is expected to be 2.91 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.15.
Please note that although there have been many attempts to predict Rigetti 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 Rigetti Computing's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Rigetti Computing Stock Forecast Pattern

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Rigetti Computing Forecasted Value

In the context of forecasting Rigetti Computing'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. Rigetti Computing's downside and upside margins for the forecasting period are 0.02 and 13.47, respectively. We have considered Rigetti Computing'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.
Market Value
2.40
2.91
Expected Value
13.47
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Rigetti Computing stock data series using in forecasting. Note that when a statistical model is used to represent Rigetti Computing 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 Criteria114.3685
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1008
MAPEMean absolute percentage error0.081
SAESum of the absolute errors6.1509
This model is not at all useful as a medium-long range forecasting tool of Rigetti Computing. 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 Rigetti Computing. 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 Rigetti Computing

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Rigetti Computing. 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 Rigetti Computing'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
0.091.8212.38
Details
Intrinsic
Valuation
LowRealHigh
0.142.7113.27
Details
5 Analysts
Consensus
LowTargetHigh
3.193.503.89
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.07-0.07-0.07
Details

Other Forecasting Options for Rigetti Computing

For every potential investor in Rigetti, whether a beginner or expert, Rigetti Computing's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Rigetti Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Rigetti. Basic forecasting techniques help filter out the noise by identifying Rigetti Computing's price trends.

Rigetti Computing 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 Rigetti Computing stock to make a market-neutral strategy. Peer analysis of Rigetti Computing could also be used in its relative valuation, which is a method of valuing Rigetti Computing by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Rigetti Computing 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 Rigetti Computing'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 Rigetti Computing's current price.

Rigetti Computing Market Strength Events

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

Rigetti Computing Risk Indicators

The analysis of Rigetti Computing'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 Rigetti Computing's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting rigetti 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.

Currently Active Assets on Macroaxis

When determining whether Rigetti Computing offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Rigetti Computing's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Rigetti Computing Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Rigetti Computing Stock:
Check out Historical Fundamental Analysis of Rigetti Computing to cross-verify your projections.
For more detail on how to invest in Rigetti Stock please use our How to Invest in Rigetti Computing guide.
You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Is Electronic Equipment, Instruments & Components space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Rigetti Computing. If investors know Rigetti will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Rigetti Computing listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.37)
Revenue Per Share
0.073
Quarterly Revenue Growth
(0.23)
Return On Assets
(0.26)
Return On Equity
(0.51)
The market value of Rigetti Computing is measured differently than its book value, which is the value of Rigetti that is recorded on the company's balance sheet. Investors also form their own opinion of Rigetti Computing's value that differs from its market value or its book value, called intrinsic value, which is Rigetti Computing's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Rigetti Computing's market value can be influenced by many factors that don't directly affect Rigetti Computing's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Rigetti Computing's value and its price as these two are different measures arrived at by different means. Investors typically determine if Rigetti Computing is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Rigetti Computing's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.