Hauman Technologies Stock Forecast - Naive Prediction
| 6218 Stock | TWD 26.00 1.65 5.97% |
The Naive Prediction forecasted value of Hauman Technologies on the next trading day is expected to be 26.89 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 27.37. Hauman Stock Forecast is based on your current time horizon.
The value of RSI of Hauman Technologies' share price is above 70 as of today. This suggests that the stock is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling Hauman, making its price go up or down. Momentum 70
Buy Stretched
Oversold | Overbought |
Using Hauman Technologies hype-based prediction, you can estimate the value of Hauman Technologies from the perspective of Hauman Technologies response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Hauman Technologies on the next trading day is expected to be 26.89 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 27.37. Hauman Technologies after-hype prediction price | TWD 26.0 |
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.
Hauman |
Hauman Technologies Additional Predictive Modules
Most predictive techniques to examine Hauman price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hauman using various technical indicators. When you analyze Hauman 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Hauman Technologies Naive Prediction Price Forecast For the 7th of January
Given 90 days horizon, the Naive Prediction forecasted value of Hauman Technologies on the next trading day is expected to be 26.89 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.38, and the sum of the absolute errors of 27.37.Please note that although there have been many attempts to predict Hauman 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 Hauman Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hauman Technologies Stock Forecast Pattern
| Backtest Hauman Technologies | Hauman Technologies Price Prediction | Buy or Sell Advice |
Hauman Technologies Forecasted Value
In the context of forecasting Hauman Technologies' 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. Hauman Technologies' downside and upside margins for the forecasting period are 24.21 and 29.57, respectively. We have considered Hauman Technologies' 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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Hauman Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Hauman Technologies 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.| AIC | Akaike Information Criteria | 118.9937 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.4415 |
| MAPE | Mean absolute percentage error | 0.0205 |
| SAE | Sum of the absolute errors | 27.3733 |
Predictive Modules for Hauman Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hauman Technologies. 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.Other Forecasting Options for Hauman Technologies
For every potential investor in Hauman, whether a beginner or expert, Hauman Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hauman Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hauman. Basic forecasting techniques help filter out the noise by identifying Hauman Technologies' price trends.Hauman Technologies 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 Hauman Technologies stock to make a market-neutral strategy. Peer analysis of Hauman Technologies could also be used in its relative valuation, which is a method of valuing Hauman Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hauman Technologies 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 Hauman Technologies' 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 Hauman Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Hauman Technologies Market Strength Events
Market strength indicators help investors to evaluate how Hauman Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hauman Technologies shares will generate the highest return on investment. By undertsting and applying Hauman Technologies stock market strength indicators, traders can identify Hauman Technologies entry and exit signals to maximize returns.
Hauman Technologies Risk Indicators
The analysis of Hauman Technologies' 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 Hauman Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hauman 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.
| Mean Deviation | 1.44 | |||
| Semi Deviation | 1.11 | |||
| Standard Deviation | 2.56 | |||
| Variance | 6.57 | |||
| Downside Variance | 3.25 | |||
| Semi Variance | 1.23 | |||
| Expected Short fall | (1.71) |
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 Hauman Stock Analysis
When running Hauman Technologies' price analysis, check to measure Hauman Technologies' 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 Hauman Technologies is operating at the current time. Most of Hauman Technologies' value examination focuses on studying past and present price action to predict the probability of Hauman Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hauman Technologies' price. Additionally, you may evaluate how the addition of Hauman Technologies to your portfolios can decrease your overall portfolio volatility.