Logintrade Stock Forecast - 20 Period Moving Average

LGT Stock   3.78  0.02  0.53%   
The 20 Period Moving Average forecasted value of Logintrade SA on the next trading day is expected to be 3.40 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 8.39. Logintrade Stock Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Logintrade SA is based on a synthetically constructed Logintradedaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Logintrade 20 Period Moving Average Price Forecast For the 12th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Logintrade SA on the next trading day is expected to be 3.40 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.06, and the sum of the absolute errors of 8.39.
Please note that although there have been many attempts to predict Logintrade 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 Logintrade's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Logintrade Stock Forecast Pattern

Logintrade Forecasted Value

In the context of forecasting Logintrade'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. Logintrade's downside and upside margins for the forecasting period are 0.04 and 7.23, respectively. We have considered Logintrade'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
3.78
3.40
Expected Value
7.23
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Logintrade stock data series using in forecasting. Note that when a statistical model is used to represent Logintrade 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 Criteria78.5263
BiasArithmetic mean of the errors -0.1779
MADMean absolute deviation0.2046
MAPEMean absolute percentage error0.0621
SAESum of the absolute errors8.388
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Logintrade SA 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Logintrade

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Logintrade SA. 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 Logintrade'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
0.193.787.61
Details
Intrinsic
Valuation
LowRealHigh
0.152.936.76
Details

Other Forecasting Options for Logintrade

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

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

Logintrade SA 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 Logintrade'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 Logintrade's current price.

Logintrade Market Strength Events

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

Logintrade Risk Indicators

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

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 Logintrade 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 Logintrade will appreciate offsetting losses from the drop in the long position's value.

Moving together with Logintrade Stock

  0.75CEZ CEZ asPairCorr
  0.68DNP Dino Polska SAPairCorr

Moving against Logintrade Stock

  0.81VEE Vee SAPairCorr
  0.72KGH KGHM Polska MiedzPairCorr
  0.7ALE Allegroeu SAPairCorr
  0.69PCO Pepco Group BVPairCorr
  0.64PKN Polski Koncern NaftowyPairCorr
The ability to find closely correlated positions to Logintrade could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Logintrade 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 Logintrade - 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 Logintrade SA to buy it.
The correlation of Logintrade 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 Logintrade moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Logintrade SA 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 Logintrade 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

Additional Tools for Logintrade Stock Analysis

When running Logintrade's price analysis, check to measure Logintrade'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 Logintrade is operating at the current time. Most of Logintrade's value examination focuses on studying past and present price action to predict the probability of Logintrade's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Logintrade's price. Additionally, you may evaluate how the addition of Logintrade to your portfolios can decrease your overall portfolio volatility.