Ledesma SAAI Stock Forecast - Naive Prediction
| LEDE Stock | ARS 1,390 25.00 1.83% |
The Naive Prediction forecasted value of Ledesma SAAI on the next trading day is expected to be 1,408 with a mean absolute deviation of 21.61 and the sum of the absolute errors of 1,340. Ledesma Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Ledesma SAAI stock prices and determine the direction of Ledesma SAAI's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Ledesma SAAI's historical fundamentals, such as revenue growth or operating cash flow patterns.
Ledesma |
Ledesma SAAI Naive Prediction Price Forecast For the 15th of December 2024
Given 90 days horizon, the Naive Prediction forecasted value of Ledesma SAAI on the next trading day is expected to be 1,408 with a mean absolute deviation of 21.61, mean absolute percentage error of 912.15, and the sum of the absolute errors of 1,340.Please note that although there have been many attempts to predict Ledesma 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 Ledesma SAAI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ledesma SAAI Stock Forecast Pattern
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Ledesma SAAI Forecasted Value
In the context of forecasting Ledesma SAAI'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. Ledesma SAAI's downside and upside margins for the forecasting period are 1,406 and 1,410, respectively. We have considered Ledesma SAAI'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Ledesma SAAI stock data series using in forecasting. Note that when a statistical model is used to represent Ledesma SAAI 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 | 126.7642 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 21.6051 |
| MAPE | Mean absolute percentage error | 0.0201 |
| SAE | Sum of the absolute errors | 1339.5158 |
Predictive Modules for Ledesma SAAI
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Ledesma SAAI. 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 Ledesma SAAI
For every potential investor in Ledesma, whether a beginner or expert, Ledesma SAAI's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ledesma Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ledesma. Basic forecasting techniques help filter out the noise by identifying Ledesma SAAI's price trends.Ledesma SAAI 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 Ledesma SAAI stock to make a market-neutral strategy. Peer analysis of Ledesma SAAI could also be used in its relative valuation, which is a method of valuing Ledesma SAAI by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ledesma SAAI 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 Ledesma SAAI'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 Ledesma SAAI's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Ledesma SAAI Market Strength Events
Market strength indicators help investors to evaluate how Ledesma SAAI stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ledesma SAAI shares will generate the highest return on investment. By undertsting and applying Ledesma SAAI stock market strength indicators, traders can identify Ledesma SAAI entry and exit signals to maximize returns.
Ledesma SAAI Risk Indicators
The analysis of Ledesma SAAI'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 Ledesma SAAI's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ledesma 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 | 1.63 | |||
| Semi Deviation | 1.94 | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.87 | |||
| Downside Variance | 5.08 | |||
| Semi Variance | 3.76 | |||
| Expected Short fall | (1.94) |
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.Other Information on Investing in Ledesma Stock
Ledesma SAAI financial ratios help investors to determine whether Ledesma Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ledesma with respect to the benefits of owning Ledesma SAAI security.