Hang Lung Pink Sheet Forecast - Simple Moving Average

HLPPY Stock  USD 4.19  0.22  5.54%   
The Simple Moving Average forecasted value of Hang Lung Properties on the next trading day is expected to be 4.08 with a mean absolute deviation of 0.13 and the sum of the absolute errors of 7.48. Hang Pink Sheet Forecast is based on your current time horizon.
  
A two period moving average forecast for Hang Lung is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.

Hang Lung Simple Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the Simple Moving Average forecasted value of Hang Lung Properties on the next trading day is expected to be 4.08 with a mean absolute deviation of 0.13, mean absolute percentage error of 0.04, and the sum of the absolute errors of 7.48.
Please note that although there have been many attempts to predict Hang Pink Sheet 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 Hang Lung's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Hang Lung Pink Sheet Forecast Pattern

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Hang Lung Forecasted Value

In the context of forecasting Hang Lung's Pink Sheet 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. Hang Lung's downside and upside margins for the forecasting period are 0.09 and 8.07, respectively. We have considered Hang Lung'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
4.19
4.08
Expected Value
8.07
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Moving Average forecasting method's relative quality and the estimations of the prediction error of Hang Lung pink sheet data series using in forecasting. Note that when a statistical model is used to represent Hang Lung pink sheet, 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 Criteria111.1609
BiasArithmetic mean of the errors -0.0163
MADMean absolute deviation0.1268
MAPEMean absolute percentage error0.029
SAESum of the absolute errors7.48
The simple moving average model is conceptually a linear regression of the current value of Hang Lung Properties price series against current and previous (unobserved) value of Hang Lung. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future

Predictive Modules for Hang Lung

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hang Lung Properties. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.
Hype
Prediction
LowEstimatedHigh
0.203.977.94
Details
Intrinsic
Valuation
LowRealHigh
0.183.537.50
Details

Other Forecasting Options for Hang Lung

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

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

Hang Lung Properties Technical and Predictive Analytics

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

Hang Lung Market Strength Events

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

Hang Lung Risk Indicators

The analysis of Hang Lung'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 Hang Lung's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hang pink sheet 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.

Additional Tools for Hang Pink Sheet Analysis

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