Atlas Honda Stock Forecast - Triple Exponential Smoothing

ATLH Stock   855.67  7.35  0.85%   
The Triple Exponential Smoothing forecasted value of Atlas Honda on the next trading day is expected to be 861.18 with a mean absolute deviation of 10.35 and the sum of the absolute errors of 610.38. Investors can use prediction functions to forecast Atlas Honda's stock prices and determine the direction of Atlas Honda's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of Atlas Honda's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
Triple exponential smoothing for Atlas Honda - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Atlas Honda prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any trend in Atlas Honda price movement. However, neither of these exponential smoothing models address any seasonality of Atlas Honda.

Atlas Honda Triple Exponential Smoothing Price Forecast For the 25th of November

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Atlas Honda on the next trading day is expected to be 861.18 with a mean absolute deviation of 10.35, mean absolute percentage error of 252.24, and the sum of the absolute errors of 610.38.
Please note that although there have been many attempts to predict Atlas 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 Atlas Honda's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Atlas Honda Stock Forecast Pattern

Atlas Honda Forecasted Value

In the context of forecasting Atlas Honda'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. Atlas Honda's downside and upside margins for the forecasting period are 859.05 and 863.31, respectively. We have considered Atlas Honda'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
855.67
859.05
Downside
861.18
Expected Value
863.31
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Atlas Honda stock data series using in forecasting. Note that when a statistical model is used to represent Atlas Honda 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 CriteriaHuge
BiasArithmetic mean of the errors 1.0315
MADMean absolute deviation10.3454
MAPEMean absolute percentage error0.0138
SAESum of the absolute errors610.38
As with simple exponential smoothing, in triple exponential smoothing models past Atlas Honda observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Atlas Honda observations.

Predictive Modules for Atlas Honda

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Atlas Honda. 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 Atlas Honda

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

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

Atlas Honda 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 Atlas Honda'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 Atlas Honda's current price.

Atlas Honda Market Strength Events

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

Atlas Honda Risk Indicators

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

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 Atlas Honda 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 Atlas Honda will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Atlas Honda could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Atlas Honda 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 Atlas Honda - 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 Atlas Honda to buy it.
The correlation of Atlas Honda 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 Atlas Honda moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Atlas Honda 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 Atlas Honda 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