Stock Comparison: BIDU vs CRWV

Comparison Date : 2026-11-04

BIDU, CRWV are showing a bearish technical setup.

Based on end-of-day indicators (RSI, MACD, moving averages, volume). Not investment advice.

VS VS

How these signals performed on each stock 20 trading-day horizon, since 2024-01-01

Signal BIDU CRWV
MACD golden cross 52% (21×) 31% (16×)
MA20/MA60 golden cross 50% (6×) 25% (4×)
RSI oversold recovery 50% (8×) —

Win rate with number of historical occurrences in parentheses. A single occurrence is not evidence. Returns are gross of transaction costs. Full market-wide results: backtest.php. Not investment advice.

Basic Stock Information 2026-11-04

Sector

Industry
Communication Services
Internet Content & Information
Technology
Software - Infrastructure

Last Price

Last 2 Month line
76.97
53.74

Market Cap

30.22B
20.56B

Dividend Yield

-
-

P E

Price-to-Earnings Ratio
9.7
N/A

E P S

Earnings Per Share
74.85
-0.3

52W Change

Last year
-22.48%
10.8%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
82
↧5(6%)
69
↧15(28%)

Support

Key Price Level
71
↥-5(-6%)
37
↥-16(-30%)

Stop Loss

Short & Medium Term
79
2(3%)
61
7(13%)

Q_Bullish forecast

Quarterly Prediction
96
89

Q_Base forecast

Quarterly Prediction
82
63

Q_Bearish forecast

Quarterly Prediction
75
44

A_Bullish forecast

Annual Prediction
105
110

A_Base forecast

Annual Prediction
77
57

A_Bearish forecast

Annual Prediction
63
19

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
SELL

BOLL

Bollinger Bands
middle:ma20
SELL
SELL

RSI(14)

Relative Strength Index
SELL
SELL

ATR(14)

Average True Range
2.08
5.86

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
SELL
SELL

OBV(20)

On-Balance Volume
BUY
BUY

STOCH(K line)

Stochastic Oscillator
Approaching Oversold
Approaching Oversold

These predictions are generated using a combination of technical analysis, fundamental factors, market sentiment indicators, and machine learning models trained on historical price data. Probabilities represent the likelihood of reaching the target price within the specified timeframe based on our models. All predictions are for informational purposes only and should not be considered as financial advice.