ARCA Biotechnology Index Forecast - Triple Exponential Smoothing

BTK Index   5,665  53.50  0.94%   
The Triple Exponential Smoothing forecasted value of ARCA Biotechnology on the next trading day is expected to be 5,596 with a mean absolute deviation of 59.93 and the sum of the absolute errors of 3,536. Investors can use prediction functions to forecast ARCA Biotechnology's index prices and determine the direction of ARCA Biotechnology's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
Triple exponential smoothing for ARCA Biotechnology - 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 ARCA Biotechnology 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 ARCA Biotechnology price movement. However, neither of these exponential smoothing models address any seasonality of ARCA Biotechnology.

ARCA Biotechnology Triple Exponential Smoothing Price Forecast For the 20th of December

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of ARCA Biotechnology on the next trading day is expected to be 5,596 with a mean absolute deviation of 59.93, mean absolute percentage error of 5,938, and the sum of the absolute errors of 3,536.
Please note that although there have been many attempts to predict ARCA Index 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 ARCA Biotechnology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

ARCA Biotechnology Index Forecast Pattern

ARCA Biotechnology Forecasted Value

In the context of forecasting ARCA Biotechnology's Index 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. ARCA Biotechnology's downside and upside margins for the forecasting period are 5,595 and 5,597, respectively. We have considered ARCA Biotechnology'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
5,665
5,596
Expected Value
5,597
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 ARCA Biotechnology index data series using in forecasting. Note that when a statistical model is used to represent ARCA Biotechnology index, 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 8.0075
MADMean absolute deviation59.9292
MAPEMean absolute percentage error0.0102
SAESum of the absolute errors3535.8199
As with simple exponential smoothing, in triple exponential smoothing models past ARCA Biotechnology 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 ARCA Biotechnology observations.

Predictive Modules for ARCA Biotechnology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as ARCA Biotechnology. Regardless of method or technology, however, to accurately forecast the index market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the index 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 ARCA Biotechnology

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

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

ARCA Biotechnology Technical and Predictive Analytics

The index market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of ARCA Biotechnology'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 ARCA Biotechnology's current price.

ARCA Biotechnology Market Strength Events

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

ARCA Biotechnology Risk Indicators

The analysis of ARCA Biotechnology'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 ARCA Biotechnology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting arca index 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.

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.