Snowflake Stock Forecast - Simple Exponential Smoothing

S2NW34 Stock  BRL 25.98  0.39  1.52%   
The Simple Exponential Smoothing forecasted value of Snowflake on the next trading day is expected to be 25.98 with a mean absolute deviation of 0.49 and the sum of the absolute errors of 29.70. Snowflake Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Snowflake stock prices and determine the direction of Snowflake's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Snowflake's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Snowflake 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 Snowflake are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Snowflake prices get older.

Snowflake Simple Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Snowflake on the next trading day is expected to be 25.98 with a mean absolute deviation of 0.49, mean absolute percentage error of 0.92, and the sum of the absolute errors of 29.70.
Please note that although there have been many attempts to predict Snowflake 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 Snowflake's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Snowflake Stock Forecast Pattern

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Snowflake Forecasted Value

In the context of forecasting Snowflake'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. Snowflake's downside and upside margins for the forecasting period are 21.06 and 30.90, respectively. We have considered Snowflake'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
25.98
25.98
Expected Value
30.90
Upside

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 Snowflake stock data series using in forecasting. Note that when a statistical model is used to represent Snowflake 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 Criteria118.0293
BiasArithmetic mean of the errors -0.1725
MADMean absolute deviation0.4869
MAPEMean absolute percentage error0.0237
SAESum of the absolute errors29.7
This simple exponential smoothing model begins by setting Snowflake forecast for the second period equal to the observation of the first period. In other words, recent Snowflake observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Snowflake

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Snowflake. 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.
Hype
Prediction
LowEstimatedHigh
21.0625.9830.90
Details
Intrinsic
Valuation
LowRealHigh
23.3830.9235.84
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.7520.4729.19
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Snowflake. Your research has to be compared to or analyzed against Snowflake's peers to derive any actionable benefits. When done correctly, Snowflake's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Snowflake.

Other Forecasting Options for Snowflake

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

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

Snowflake 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 Snowflake'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 Snowflake's current price.

Snowflake Market Strength Events

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

Snowflake Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Information and Resources on Investing in Snowflake Stock

When determining whether Snowflake is a strong investment it is important to analyze Snowflake's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Snowflake's future performance. For an informed investment choice regarding Snowflake Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Snowflake to cross-verify your projections.
For information on how to trade Snowflake Stock refer to our How to Trade Snowflake Stock guide.
You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Please note, there is a significant difference between Snowflake's value and its price as these two are different measures arrived at by different means. Investors typically determine if Snowflake is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Snowflake'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.