SPS Commerce Stock Forecast - Naive Prediction

SPSC Stock  USD 183.46  4.33  2.31%   
The Naive Prediction forecasted value of SPS Commerce on the next trading day is expected to be 187.12 with a mean absolute deviation of 4.09 and the sum of the absolute errors of 253.46. SPS Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SPS Commerce stock prices and determine the direction of SPS Commerce's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SPS Commerce's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
The current year's Asset Turnover is expected to grow to 0.86, whereas Inventory Turnover is forecasted to decline to 3.22. . The current year's Net Income Applicable To Common Shares is expected to grow to about 66.6 M, whereas Common Stock Shares Outstanding is forecasted to decline to about 32.5 M.

Open Interest Against 2025-04-17 SPS Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast SPS Commerce's 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 in SPS Commerce's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for SPS Commerce stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current SPS Commerce's open interest, investors have to compare it to SPS Commerce's 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 SPS Commerce 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 SPS. 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.

SPS Commerce Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the SPS Commerce's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2008-12-31
Previous Quarter
240.2 M
Current Value
198.8 M
Quarterly Volatility
64.3 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for SPS Commerce is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SPS Commerce 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.

SPS Commerce Naive Prediction Price Forecast For the 1st of February

Given 90 days horizon, the Naive Prediction forecasted value of SPS Commerce on the next trading day is expected to be 187.12 with a mean absolute deviation of 4.09, mean absolute percentage error of 24.70, and the sum of the absolute errors of 253.46.
Please note that although there have been many attempts to predict SPS 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 SPS Commerce's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SPS Commerce Stock Forecast Pattern

Backtest SPS CommerceSPS Commerce Price PredictionBuy or Sell Advice 

SPS Commerce Forecasted Value

In the context of forecasting SPS Commerce'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. SPS Commerce's downside and upside margins for the forecasting period are 185.13 and 189.12, respectively. We have considered SPS Commerce'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
183.46
185.13
Downside
187.12
Expected Value
189.12
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 SPS Commerce stock data series using in forecasting. Note that when a statistical model is used to represent SPS Commerce 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 Criteria123.1554
BiasArithmetic mean of the errors None
MADMean absolute deviation4.088
MAPEMean absolute percentage error0.0221
SAESum of the absolute errors253.4562
This model is not at all useful as a medium-long range forecasting tool of SPS Commerce. 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 SPS Commerce. 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 SPS Commerce

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPS Commerce. 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 SPS Commerce'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
180.84182.84184.84
Details
Intrinsic
Valuation
LowRealHigh
165.11201.36203.36
Details
Bollinger
Band Projection (param)
LowMiddleHigh
179.64190.22200.80
Details
11 Analysts
Consensus
LowTargetHigh
200.38220.20244.42
Details

Other Forecasting Options for SPS Commerce

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

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

SPS Commerce 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 SPS Commerce'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 SPS Commerce's current price.

SPS Commerce Market Strength Events

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

SPS Commerce Risk Indicators

The analysis of SPS Commerce'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 SPS Commerce's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sps 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.
When determining whether SPS Commerce offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SPS Commerce'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 Sps Commerce Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Sps Commerce Stock:
Check out Historical Fundamental Analysis of SPS Commerce to cross-verify your projections.
For information on how to trade SPS Stock refer to our How to Trade SPS Stock guide.
You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Is Application Software 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 SPS Commerce. If investors know SPS 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 SPS Commerce listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.378
Earnings Share
2.08
Revenue Per Share
16.49
Quarterly Revenue Growth
0.207
Return On Assets
0.0607
The market value of SPS Commerce is measured differently than its book value, which is the value of SPS that is recorded on the company's balance sheet. Investors also form their own opinion of SPS Commerce's value that differs from its market value or its book value, called intrinsic value, which is SPS Commerce'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 SPS Commerce's market value can be influenced by many factors that don't directly affect SPS Commerce'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 SPS Commerce's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPS Commerce is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPS Commerce'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.