Baidu Stock Forecast - Naive Prediction

BIDU Stock  USD 141.26  5.55  3.78%   
The Naive Prediction forecasted value of Baidu Inc on the next trading day is expected to be 151.87 with a mean absolute deviation of 3.97 and the sum of the absolute errors of 241.92. Baidu Stock Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Baidu's share price is below 20 suggesting 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 Baidu's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Baidu Inc, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting Baidu's stock price prediction:
Quarterly Earnings Growth
0.351
EPS Estimate Next Quarter
10.7551
EPS Estimate Current Year
53.9198
EPS Estimate Next Year
57.7681
Wall Street Target Price
162.1768
Using Baidu hype-based prediction, you can estimate the value of Baidu Inc from the perspective of Baidu response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Baidu using Baidu's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Baidu using crowd psychology based on the activity and movement of Baidu's stock price.

Baidu Short Interest

An investor who is long Baidu may also wish to track short interest. As short interest increases, investors should be becoming more worried about Baidu and may potentially protect profits, hedge Baidu with its derivative instruments, or be ready for some potential downside.
200 Day MA
103.7288
Short Percent
0.0226
Short Ratio
1.91
Shares Short Prior Month
7.1 M
50 Day MA
124.1548

Baidu Inc Hype to Price Pattern

Investor biases related to Baidu's public news can be used to forecast risks associated with an investment in Baidu. The trend in average sentiment can be used to explain how an investor holding Baidu can time the market purely based on public headlines and social activities around Baidu Inc. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Baidu's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Baidu.

Baidu Implied Volatility

    
  0.55  
Baidu's implied volatility exposes the market's sentiment of Baidu Inc stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Baidu's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Baidu stock will not fluctuate a lot when Baidu's options are near their expiration.
The Naive Prediction forecasted value of Baidu Inc on the next trading day is expected to be 151.87 with a mean absolute deviation of 3.97 and the sum of the absolute errors of 241.92.

Baidu after-hype prediction price

    
  USD 140.98  
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 Baidu to cross-verify your projections.
At this time, Baidu's Payables Turnover is comparatively stable compared to the past year. Receivables Turnover is likely to gain to 15.70 in 2026, whereas Inventory Turnover is likely to drop 12.06 in 2026. . Net Income Applicable To Common Shares is likely to gain to about 8.1 B in 2026, whereas Common Stock Shares Outstanding is likely to drop slightly above 377.8 M in 2026.

Open Interest Against 2026-04-17 Baidu Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Baidu's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Baidu's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Baidu stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Baidu's open interest, investors have to compare it to Baidu's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Baidu is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Baidu. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.

Baidu Additional Predictive Modules

Most predictive techniques to examine Baidu price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Baidu using various technical indicators. When you analyze Baidu 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.
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Baidu's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2003-12-31
Previous Quarter
29.9 B
Current Value
38.6 B
Quarterly Volatility
15.1 B
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Baidu is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Baidu Inc 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.

Baidu Naive Prediction Price Forecast For the 9th of January

Given 90 days horizon, the Naive Prediction forecasted value of Baidu Inc on the next trading day is expected to be 151.87 with a mean absolute deviation of 3.97, mean absolute percentage error of 24.80, and the sum of the absolute errors of 241.92.
Please note that although there have been many attempts to predict Baidu 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 Baidu's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Baidu Stock Forecast Pattern

Backtest BaiduBaidu Price PredictionBuy or Sell Advice 

Baidu Forecasted Value

In the context of forecasting Baidu'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. Baidu's downside and upside margins for the forecasting period are 148.50 and 155.24, respectively. We have considered Baidu'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
141.26
148.50
Downside
151.87
Expected Value
155.24
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 Baidu stock data series using in forecasting. Note that when a statistical model is used to represent Baidu 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 Criteria121.3212
BiasArithmetic mean of the errors None
MADMean absolute deviation3.966
MAPEMean absolute percentage error0.0316
SAESum of the absolute errors241.9247
This model is not at all useful as a medium-long range forecasting tool of Baidu Inc. 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 Baidu. 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 Baidu

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Baidu Inc. 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 Baidu'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.
Hype
Prediction
LowEstimatedHigh
137.62140.98144.34
Details
Intrinsic
Valuation
LowRealHigh
132.69136.05155.23
Details
33 Analysts
Consensus
LowTargetHigh
147.58162.18180.02
Details
Earnings
Estimates (0)
LowProjected EPSHigh
10.1012.4218.66
Details

Other Forecasting Options for Baidu

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

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

Baidu Inc 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 Baidu'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 Baidu's current price.

Baidu Market Strength Events

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

Baidu Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Baidu Stock Analysis

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