PriceSmart Stock Forecast - Simple Moving Average
| PSMT Stock | USD 90.64 0.19 0.21% |
The Simple Moving Average forecasted value of PriceSmart on the next trading day is expected to be 90.55 with a mean absolute deviation of 1.31 and the sum of the absolute errors of 77.10. PriceSmart Stock Forecast is based on your current time horizon.
PriceSmart |
Open Interest Against 2025-04-17 PriceSmart Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast PriceSmart'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 PriceSmart's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for PriceSmart 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 PriceSmart's open interest, investors have to compare it to PriceSmart'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 PriceSmart 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 PriceSmart. 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.
PriceSmart Simple Moving Average Price Forecast For the 23rd of January
Given 90 days horizon, the Simple Moving Average forecasted value of PriceSmart on the next trading day is expected to be 90.55 with a mean absolute deviation of 1.31, mean absolute percentage error of 3.92, and the sum of the absolute errors of 77.10.Please note that although there have been many attempts to predict PriceSmart 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 PriceSmart's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
PriceSmart Stock Forecast Pattern
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PriceSmart Forecasted Value
In the context of forecasting PriceSmart'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. PriceSmart's downside and upside margins for the forecasting period are 88.63 and 92.46, respectively. We have considered PriceSmart'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of PriceSmart stock data series using in forecasting. Note that when a statistical model is used to represent PriceSmart 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 | 115.8015 |
| Bias | Arithmetic mean of the errors | 0.0519 |
| MAD | Mean absolute deviation | 1.3067 |
| MAPE | Mean absolute percentage error | 0.0146 |
| SAE | Sum of the absolute errors | 77.095 |
Predictive Modules for PriceSmart
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as PriceSmart. 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.Other Forecasting Options for PriceSmart
For every potential investor in PriceSmart, whether a beginner or expert, PriceSmart's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. PriceSmart Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in PriceSmart. Basic forecasting techniques help filter out the noise by identifying PriceSmart's price trends.PriceSmart 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 PriceSmart stock to make a market-neutral strategy. Peer analysis of PriceSmart could also be used in its relative valuation, which is a method of valuing PriceSmart by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
PriceSmart 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 PriceSmart'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 PriceSmart's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
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| Volume Indicators |
PriceSmart Market Strength Events
Market strength indicators help investors to evaluate how PriceSmart stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading PriceSmart shares will generate the highest return on investment. By undertsting and applying PriceSmart stock market strength indicators, traders can identify PriceSmart entry and exit signals to maximize returns.
PriceSmart Risk Indicators
The analysis of PriceSmart'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 PriceSmart's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting pricesmart 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.
| Mean Deviation | 1.18 | |||
| Standard Deviation | 1.83 | |||
| Variance | 3.35 |
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.
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Additional Tools for PriceSmart Stock Analysis
When running PriceSmart's price analysis, check to measure PriceSmart's 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 PriceSmart is operating at the current time. Most of PriceSmart's value examination focuses on studying past and present price action to predict the probability of PriceSmart's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PriceSmart's price. Additionally, you may evaluate how the addition of PriceSmart to your portfolios can decrease your overall portfolio volatility.