52-Week Lows Index Forecast - Triple Exponential Smoothing
| MALA Index | 7.00 2.00 22.22% |
52-Week Lows Triple Exponential Smoothing Price Forecast For the 14th of December 2024
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of 52-Week Lows AMEX on the next trading day is expected to be 8.37 with a mean absolute deviation of 2.75, mean absolute percentage error of 13.43, and the sum of the absolute errors of 162.42.Please note that although there have been many attempts to predict 52-Week 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 52-Week Lows' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
52-Week Lows Index Forecast Pattern
52-Week Lows Forecasted Value
In the context of forecasting 52-Week Lows' 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. 52-Week Lows' downside and upside margins for the forecasting period are 0.07 and 91.16, respectively. We have considered 52-Week Lows' 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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of 52-Week Lows index data series using in forecasting. Note that when a statistical model is used to represent 52-Week Lows 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.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.4851 |
| MAD | Mean absolute deviation | 2.7528 |
| MAPE | Mean absolute percentage error | 0.6238 |
| SAE | Sum of the absolute errors | 162.4152 |
Predictive Modules for 52-Week Lows
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as 52-Week Lows AMEX. 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 52-Week Lows
For every potential investor in 52-Week, whether a beginner or expert, 52-Week Lows' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 52-Week Index price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 52-Week. Basic forecasting techniques help filter out the noise by identifying 52-Week Lows' price trends.52-Week Lows 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 52-Week Lows index to make a market-neutral strategy. Peer analysis of 52-Week Lows could also be used in its relative valuation, which is a method of valuing 52-Week Lows by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
52-Week Lows AMEX 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 52-Week Lows' 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 52-Week Lows' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
52-Week Lows Market Strength Events
Market strength indicators help investors to evaluate how 52-Week Lows index reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading 52-Week Lows shares will generate the highest return on investment. By undertsting and applying 52-Week Lows index market strength indicators, traders can identify 52-Week Lows AMEX entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.78 | |||
| Day Median Price | 7.0 | |||
| Day Typical Price | 7.0 | |||
| Price Action Indicator | (1.00) | |||
| Period Momentum Indicator | (2.00) |
52-Week Lows Risk Indicators
The analysis of 52-Week Lows' 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 52-Week Lows' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 52-week 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.
| Mean Deviation | 54.46 | |||
| Semi Deviation | 36.25 | |||
| Standard Deviation | 80.63 | |||
| Variance | 6501.18 | |||
| Downside Variance | 1932.11 | |||
| Semi Variance | 1314.1 | |||
| Expected Short fall | (85.77) |
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.