# Meta Platforms Stock Forecast - Naive Prediction

FB | - USA Stock | ## USD 193.54 2.25 1.18% |

Meta Platforms Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Meta Platforms historical stock prices and determine the direction of Meta Platforms'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 Meta Platforms historical fundamentals such as revenue growth or operating cash flow patterns. Although Meta Platforms naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Meta Platforms systematic risk associated with finding meaningful patterns of Meta Platforms fundamentals over time.

Please check Historical Fundamental Analysis of Meta Platforms to cross-verify your projections. Meta Platforms |

**B**, whereas Issuance Purchase of Equity Shares is forecasted to decline to (45.7

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### Open Interest Agains t 2022-05-20 Meta Platforms Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Meta Platforms' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest Meta Platforms' options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Meta Platforms stock based on available contracts left at the end of a trading day.

Please note, to derive more accurate forecasting about market movement from the current Meta Platforms' open interest, investors have to compare it to Meta Platforms' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Meta Platforms is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Meta Platforms. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Most investors in Meta Platforms 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 Meta Platforms' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Meta Platforms' price structures and extracts relationships that further increase the generated results' accuracy.

A naive forecasting model for Meta Platforms is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Meta Platforms 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. ## Meta Platforms Naive Prediction Price Forecast For the 21st of May

Given 90 days horizon, the Naive Prediction forecasted value of Meta Platforms on the next trading day is expected to be 184.28 with a mean absolute deviation of 6.62, mean absolute percentage error of 79.58, and the sum of the absolute errors of 403.61. Please note that although there have been many attempts to predict Meta Platforms 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 Meta Platforms' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).## Meta Platforms Stock Forecast Pattern

Backtest Meta Platforms | Meta Platforms Price Prediction | Buy or Sell Advice |

## Meta Platforms Forecasted Value

In the context of forecasting Meta Platforms' 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. Meta Platforms' downside and upside margins for the forecasting period are 180.43 and 188.13, respectively. We have considered Meta Platforms' 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Meta Platforms stock data series using in forecasting. Note that when a statistical model is used to represent Meta Platforms 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 | 122.4873 |

Bias | Arithmetic mean of the errors | None |

MAD | Mean absolute deviation | 6.6165 |

MAPE | Mean absolute percentage error | 0.0329 |

SAE | Sum of the absolute errors | 403.6058 |

## Predictive Modules for Meta Platforms

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Meta Platforms. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of Meta Platforms' 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. Please use the tools below to analyze the current value of Meta Platforms in the context of predictive analytics.

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Meta Platforms. Your research has to be compared to or analyzed against Meta Platforms' peers to derive any actionable benefits. When done correctly, Meta Platforms' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Meta Platforms.

## Other Forecasting Options for Meta Platforms

For every potential investor in Meta Platforms, whether a beginner or expert, Meta Platforms' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Meta Platforms Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Meta Platforms. Basic forecasting techniques help filter out the noise by identifying Meta Platforms' price trends.## View Currently 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 Meta Platforms stock to make a market-neutral strategy. Peer analysis of Meta Platforms could also be used in its relative valuation, which is a method of valuing Meta Platforms by comparing valuation metrics with similar companies.

Youdao IncDecisionpoint SystemsSpark NetworksMediaalpha IncMatchGenius SportsJohn HancockKEURIG DRPicc PropGARDNER DENVERBlackrock 6040BETAPRO CDNLIFE STORAGESSC TechnologiesPerficient

Risk & Return | Correlation |

## Meta Platforms 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 Meta Platforms' 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 Meta Platforms' current price.Cycle Indicators | ||

Math Operators | ||

Math Transform | ||

Momentum Indicators | ||

Overlap Studies | ||

Pattern Recognition | ||

Price Transform | ||

Statistic Functions | ||

Volatility Indicators | ||

Volume Indicators |

## Meta Platforms Market Strength Events

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

Accumulation Distribution | 1.5 M | |||

Daily Balance Of Power | 0.2241 | |||

Rate Of Daily Change | 1.01 | |||

Day Median Price | 192.89 | |||

Day Typical Price | 193.11 | |||

Price Action Indicator | 1.77 |

## Meta Platforms Risk Indicators

The analysis of Meta Platforms' basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Meta Platforms' investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Meta Platforms stock price, 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 | 2.76 | |||

Standard Deviation | 3.81 | |||

Variance | 14.53 |

Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

## Meta Platforms Investors Sentiment

The influence of Meta Platforms' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Meta Platforms. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.## Meta Platforms Implied Volatility | 63.14 |

Meta Platforms' implied volatility exposes the market's sentiment of Meta Platforms stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Meta Platforms' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Meta Platforms stock will not fluctuate a lot when Meta Platforms' options are near their expiration.

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 Meta Platforms 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, Meta Platforms' short interest history, or implied volatility extrapolated from Meta Platforms options trading.

## Becoming a Better Investor with Macroaxis

Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Meta Platforms using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.## Build Optimal Portfolios

### Align your risk with return expectations

Please check Historical Fundamental Analysis of Meta Platforms to cross-verify your projections. Note that the Meta Platforms information on this page should be used as a complementary analysis to other Meta Platforms' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.

## Complementary Tools for Meta Platforms Stock analysis

When running Meta Platforms price analysis, check to measure Meta Platforms' 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 Meta Platforms is operating at the current time. Most of Meta Platforms' value examination focuses on studying past and present price action to predict the probability of Meta Platforms' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Meta Platforms' price. Additionally, you may evaluate how the addition of Meta Platforms to your portfolios can decrease your overall portfolio volatility.

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The market value of Meta Platforms is measured differently than its book value, which is the value of Meta Platforms that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Platforms' value that differs from its market value or its book value, called intrinsic value, which is Meta Platforms' 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 Meta Platforms' market value can be influenced by many factors that don't directly affect Meta Platforms' 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 Meta Platforms' value and its price as these two are different measures arrived at by different means. Investors typically determine Meta Platforms value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Platforms' 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.