Lian Hong Stock Forecast - Naive Prediction

6755 Stock  TWD 17.90  0.10  0.56%   
The Naive Prediction forecasted value of Lian Hong Art on the next trading day is expected to be 17.69 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.26. Lian Stock Forecast is based on your current time horizon.
As of today the value of rsi of Lian Hong's share price is below 20 . This suggests that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Lian Hong's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Lian Hong and does not consider all of the tangible or intangible factors available from Lian Hong's fundamental data. We analyze noise-free headlines and recent hype associated with Lian Hong Art, which may create opportunities for some arbitrage if properly timed.
Using Lian Hong hype-based prediction, you can estimate the value of Lian Hong Art from the perspective of Lian Hong response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Lian Hong Art on the next trading day is expected to be 17.69 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.26.

Lian Hong after-hype prediction price

    
  TWD 17.8  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Lian Hong to cross-verify your projections.

Lian Hong Additional Predictive Modules

Most predictive techniques to examine Lian price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Lian using various technical indicators. When you analyze Lian charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
A naive forecasting model for Lian Hong is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Lian Hong Art value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Lian Hong Naive Prediction Price Forecast For the 14th of January 2026

Given 90 days horizon, the Naive Prediction forecasted value of Lian Hong Art on the next trading day is expected to be 17.69 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.12, and the sum of the absolute errors of 17.26.
Please note that although there have been many attempts to predict Lian 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 Lian Hong's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Lian Hong Stock Forecast Pattern

Backtest Lian HongLian Hong Price PredictionBuy or Sell Advice 

Lian Hong Forecasted Value

In the context of forecasting Lian Hong'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. Lian Hong's downside and upside margins for the forecasting period are 15.87 and 19.50, respectively. We have considered Lian Hong'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
17.90
17.69
Expected Value
19.50
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Lian Hong stock data series using in forecasting. Note that when a statistical model is used to represent Lian Hong 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 Criteria117.8571
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2784
MAPEMean absolute percentage error0.0141
SAESum of the absolute errors17.2626
This model is not at all useful as a medium-long range forecasting tool of Lian Hong Art. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Lian Hong. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Lian Hong

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Lian Hong Art. 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.
Hype
Prediction
LowEstimatedHigh
15.9917.8019.61
Details
Intrinsic
Valuation
LowRealHigh
14.1415.9519.58
Details

Other Forecasting Options for Lian Hong

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

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

Lian Hong Art 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 Lian Hong'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 Lian Hong's current price.

Lian Hong Market Strength Events

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

Lian Hong Risk Indicators

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

Additional Tools for Lian Stock Analysis

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