Beijing Dynamic Stock Forecast - Naive Prediction
| 600405 Stock | 5.53 0.12 2.12% |
The Naive Prediction forecasted value of Beijing Dynamic Power on the next trading day is expected to be 5.65 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.10. Beijing Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Beijing Dynamic stock prices and determine the direction of Beijing Dynamic Power's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Beijing Dynamic's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 14th of January 2026 the relative strength index (rsi) of Beijing Dynamic'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 |
Quarterly Earnings Growth 28.629 | Quarterly Revenue Growth (0.41) |
Using Beijing Dynamic hype-based prediction, you can estimate the value of Beijing Dynamic Power from the perspective of Beijing Dynamic response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Beijing Dynamic Power on the next trading day is expected to be 5.65 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 5.10. Beijing Dynamic after-hype prediction price | CNY 5.65 |
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.
Beijing |
Beijing Dynamic Additional Predictive Modules
Most predictive techniques to examine Beijing price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Beijing using various technical indicators. When you analyze Beijing 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 |
Beijing Dynamic Naive Prediction Price Forecast For the 15th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of Beijing Dynamic Power on the next trading day is expected to be 5.65 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 5.10.Please note that although there have been many attempts to predict Beijing 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 Beijing Dynamic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Beijing Dynamic Stock Forecast Pattern
| Backtest Beijing Dynamic | Beijing Dynamic Price Prediction | Buy or Sell Advice |
Beijing Dynamic Forecasted Value
In the context of forecasting Beijing Dynamic'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. Beijing Dynamic's downside and upside margins for the forecasting period are 3.93 and 7.37, respectively. We have considered Beijing Dynamic'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Beijing Dynamic stock data series using in forecasting. Note that when a statistical model is used to represent Beijing Dynamic 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 | 115.3248 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0823 |
| MAPE | Mean absolute percentage error | 0.0149 |
| SAE | Sum of the absolute errors | 5.1015 |
Predictive Modules for Beijing Dynamic
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Beijing Dynamic Power. 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 Beijing Dynamic
For every potential investor in Beijing, whether a beginner or expert, Beijing Dynamic's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Beijing Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Beijing. Basic forecasting techniques help filter out the noise by identifying Beijing Dynamic's price trends.Beijing Dynamic 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 Beijing Dynamic stock to make a market-neutral strategy. Peer analysis of Beijing Dynamic could also be used in its relative valuation, which is a method of valuing Beijing Dynamic by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Beijing Dynamic Power 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 Beijing Dynamic'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 Beijing Dynamic's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Beijing Dynamic Market Strength Events
Market strength indicators help investors to evaluate how Beijing Dynamic stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Beijing Dynamic shares will generate the highest return on investment. By undertsting and applying Beijing Dynamic stock market strength indicators, traders can identify Beijing Dynamic Power entry and exit signals to maximize returns.
| Accumulation Distribution | 495866.0 | |||
| Daily Balance Of Power | (0.75) | |||
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 5.57 | |||
| Day Typical Price | 5.56 | |||
| Price Action Indicator | (0.10) | |||
| Period Momentum Indicator | (0.12) |
Beijing Dynamic Risk Indicators
The analysis of Beijing Dynamic'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 Beijing Dynamic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting beijing 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 | 1.37 | |||
| Standard Deviation | 1.81 | |||
| Variance | 3.27 |
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.
Currently Active Assets on Macroaxis
Other Information on Investing in Beijing Stock
Beijing Dynamic financial ratios help investors to determine whether Beijing 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 Beijing with respect to the benefits of owning Beijing Dynamic security.