Xiaomi Stock Forecast - Simple Regression
| 3CP Stock | EUR 2.09 0.05 2.45% |
The Simple Regression forecasted value of Xiaomi on the next trading day is expected to be 2.34 with a mean absolute deviation of 0.09 and the sum of the absolute errors of 5.38. Xiaomi Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Xiaomi stock prices and determine the direction of Xiaomi's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Xiaomi's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Xiaomi to cross-verify your projections. Xiaomi |
Most investors in Xiaomi cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Xiaomi's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Xiaomi's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Xiaomi price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X. Xiaomi Simple Regression Price Forecast For the 5th of June
Given 90 days horizon, the Simple Regression forecasted value of Xiaomi on the next trading day is expected to be 2.34 with a mean absolute deviation of 0.09, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.38.Please note that although there have been many attempts to predict Xiaomi 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 Xiaomi's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Xiaomi Stock Forecast Pattern
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Xiaomi Forecasted Value
In the context of forecasting Xiaomi'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. Xiaomi's downside and upside margins for the forecasting period are 0.02 and 5.66, respectively. We have considered Xiaomi'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Xiaomi stock data series using in forecasting. Note that when a statistical model is used to represent Xiaomi 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 | 115.5386 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0867 |
| MAPE | Mean absolute percentage error | 0.0427 |
| SAE | Sum of the absolute errors | 5.3759 |
Predictive Modules for Xiaomi
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Xiaomi. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xiaomi's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for Xiaomi
For every potential investor in Xiaomi, whether a beginner or expert, Xiaomi's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Xiaomi Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Xiaomi. Basic forecasting techniques help filter out the noise by identifying Xiaomi's price trends.Xiaomi 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 Xiaomi stock to make a market-neutral strategy. Peer analysis of Xiaomi could also be used in its relative valuation, which is a method of valuing Xiaomi by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Xiaomi 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 Xiaomi'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 Xiaomi's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Xiaomi Market Strength Events
Market strength indicators help investors to evaluate how Xiaomi stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Xiaomi shares will generate the highest return on investment. By undertsting and applying Xiaomi stock market strength indicators, traders can identify Xiaomi entry and exit signals to maximize returns.
| Accumulation Distribution | 1736.52 | |||
| Daily Balance Of Power | 1.0 | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 2.12 | |||
| Day Typical Price | 2.11 | |||
| Period Momentum Indicator | 0.05 | |||
| Relative Strength Index | 51.76 |
Xiaomi Risk Indicators
The analysis of Xiaomi'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 Xiaomi's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting xiaomi 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 | 2.32 | |||
| Semi Deviation | 2.02 | |||
| Standard Deviation | 3.23 | |||
| Variance | 10.44 | |||
| Downside Variance | 5.36 | |||
| Semi Variance | 4.07 | |||
| Expected Short fall | (2.84) |
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.
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Other Information on Investing in Xiaomi Stock
Xiaomi financial ratios help investors to determine whether Xiaomi Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Xiaomi with respect to the benefits of owning Xiaomi security.