Dlocal Stock Forecast - Simple Moving Average

DLO Stock  USD 11.75  0.06  0.51%   
The Simple Moving Average forecasted value of Dlocal on the next trading day is expected to be 11.75 with a mean absolute deviation of 0.22 and the sum of the absolute errors of 13.19. Dlocal Stock Forecast is based on your current time horizon. Although Dlocal's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Dlocal's systematic risk associated with finding meaningful patterns of Dlocal fundamentals over time.
  
As of the 21st of January 2025, Inventory Turnover is likely to grow to 169.85, while Payables Turnover is likely to drop 0.38. . As of the 21st of January 2025, Common Stock Shares Outstanding is likely to drop to about 325.6 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 63.3 M.

Open Interest Against 2025-04-17 Dlocal Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Dlocal'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 Dlocal's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Dlocal 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 Dlocal's open interest, investors have to compare it to Dlocal'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 Dlocal 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 Dlocal. 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.
A two period moving average forecast for Dlocal is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Dlocal Simple Moving Average Price Forecast For the 22nd of January

Given 90 days horizon, the Simple Moving Average forecasted value of Dlocal on the next trading day is expected to be 11.75 with a mean absolute deviation of 0.22, mean absolute percentage error of 0.09, and the sum of the absolute errors of 13.19.
Please note that although there have been many attempts to predict Dlocal 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 Dlocal's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dlocal Stock Forecast Pattern

Backtest DlocalDlocal Price PredictionBuy or Sell Advice 

Dlocal Forecasted Value

In the context of forecasting Dlocal'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. Dlocal's downside and upside margins for the forecasting period are 8.77 and 14.73, respectively. We have considered Dlocal'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
11.75
11.75
Expected Value
14.73
Upside

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 Dlocal stock data series using in forecasting. Note that when a statistical model is used to represent Dlocal 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 Criteria112.0748
BiasArithmetic mean of the errors -0.0757
MADMean absolute deviation0.2235
MAPEMean absolute percentage error0.0213
SAESum of the absolute errors13.185
The simple moving average model is conceptually a linear regression of the current value of Dlocal price series against current and previous (unobserved) value of Dlocal. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Dlocal

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dlocal. 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
8.7011.7014.70
Details
Intrinsic
Valuation
LowRealHigh
7.5010.5013.50
Details
11 Analysts
Consensus
LowTargetHigh
10.1811.1812.41
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.110.120.14
Details

Other Forecasting Options for Dlocal

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

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

Dlocal 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 Dlocal'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 Dlocal's current price.

Dlocal Market Strength Events

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

Dlocal Risk Indicators

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

Pair Trading with Dlocal

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Dlocal position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Dlocal will appreciate offsetting losses from the drop in the long position's value.

Moving together with Dlocal Stock

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  0.66GB Global Blue GroupPairCorr

Moving against Dlocal Stock

  0.79VRNS Varonis SystemsPairCorr
  0.7MQ MarqetaPairCorr
  0.69VERI VeritonePairCorr
  0.62FAASW DigiAsia Corp Symbol ChangePairCorr
  0.58DOCN DigitalOcean HoldingsPairCorr
The ability to find closely correlated positions to Dlocal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dlocal when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Dlocal - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Dlocal to buy it.
The correlation of Dlocal is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Dlocal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dlocal moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Dlocal can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Dlocal offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Dlocal'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 Dlocal Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Dlocal Stock:
Check out Historical Fundamental Analysis of Dlocal to cross-verify your projections.
To learn how to invest in Dlocal Stock, please use our How to Invest in Dlocal guide.
You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Is Transaction & Payment Processing Services 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 Dlocal. If investors know Dlocal 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 Dlocal 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
(0.31)
Earnings Share
0.4
Revenue Per Share
2.505
Quarterly Revenue Growth
0.133
Return On Assets
0.0822
The market value of Dlocal is measured differently than its book value, which is the value of Dlocal that is recorded on the company's balance sheet. Investors also form their own opinion of Dlocal's value that differs from its market value or its book value, called intrinsic value, which is Dlocal'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 Dlocal's market value can be influenced by many factors that don't directly affect Dlocal'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 Dlocal's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dlocal is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dlocal'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.