THUNDELARRA Stock Forecast - Triple Exponential Smoothing

TJ3 Stock  EUR 0.01  0.00  0.00%   
The Triple Exponential Smoothing forecasted value of THUNDELARRA on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.000056 and the sum of the absolute errors of 0. THUNDELARRA Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for THUNDELARRA - 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 THUNDELARRA 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 THUNDELARRA price movement. However, neither of these exponential smoothing models address any seasonality of THUNDELARRA.

THUNDELARRA Triple Exponential Smoothing Price Forecast For the 1st of February

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of THUNDELARRA on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.000056, mean absolute percentage error of 0.00000006, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict THUNDELARRA 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 THUNDELARRA's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

THUNDELARRA Stock Forecast Pattern

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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 THUNDELARRA stock data series using in forecasting. Note that when a statistical model is used to represent THUNDELARRA 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 None
MADMean absolute deviation1.0E-4
MAPEMean absolute percentage error0.0098
SAESum of the absolute errors0.0033
As with simple exponential smoothing, in triple exponential smoothing models past THUNDELARRA 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 THUNDELARRA observations.

Predictive Modules for THUNDELARRA

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as THUNDELARRA. 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.
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0.000.013.91
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THUNDELARRA 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 THUNDELARRA stock to make a market-neutral strategy. Peer analysis of THUNDELARRA could also be used in its relative valuation, which is a method of valuing THUNDELARRA by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

THUNDELARRA Market Strength Events

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

THUNDELARRA Risk Indicators

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

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for THUNDELARRA Stock Analysis

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