Technical Analysis Data

Our advanced technical analysis algorithm employs a sophisticated multi-factor scoring system to identify potential market opportunities based on historical patterns:

• Price Decline Analysis: Analyzes recent price decline from high (15-50% optimal range) to identify oversold conditions and potential reversal points
• Volatility Assessment: Evaluates moderate volatility levels (20-60% annualized) to ensure optimal risk-reward balance for swing trading
• RSI Conditions: Detects RSI oversold conditions (below 30) indicating potential reversal points and market opportunities
• MACD Signals: Identifies MACD bullish crossover signals showing momentum shifts from bearish to bullish trends
• Pattern Recognition: Recognizes cyclical price patterns, support/resistance levels, and chart formations
• Volume Analysis: Considers trading volume patterns to confirm analysis strength and market participation
• Quality Threshold: Minimum score of 50 required for data presentation, ensuring only high-quality analysis is presented

Historical Range Analysis: Each analysis includes a historical range percentage calculated from historical patterns, technical analysis, and market conditions. This helps you assess potential market movements and set realistic expectations.

Risk Assessment: Our algorithm also provides hypothetical risk thresholds and support/resistance zones to help you understand potential market scenarios.

This analysis is designed to identify stocks that may be oversold and ready for a potential rebound, offering educational insights for market research and learning purposes.

Advanced Algorithm Technology

Our proprietary algorithm combines multiple technical analysis methods with machine learning principles:

• Multi-Factor Scoring: Each stock receives a comprehensive score based on 7+ technical indicators
• Pattern Recognition: Advanced algorithms identify recurring market patterns and price cycles
• Risk Assessment: Built-in risk evaluation ensures analysis meets strict quality standards
• Real-Time Analysis: Continuous monitoring of market conditions and price movements
• Historical Validation: Algorithm parameters optimized based on extensive backtesting
• Market Adaptation: Dynamic adjustment to changing market conditions and volatility

Analysis Quality: Only stocks scoring 50+ points are presented as technical analysis data, ensuring high-quality insights with strong technical foundations.

How to Use Our Analysis

Maximize the educational value of our analysis with these research approaches:

• Analysis Confirmation: Use multiple timeframes and additional technical indicators to confirm analysis strength
• Risk Understanding: Study the provided support zones and hypothetical risk thresholds for educational purposes
• Research Approach: Use this data as a starting point for your own market research and analysis
• Market Context: Consider overall market conditions and sector trends when studying the analysis
• Time Horizon: Our analysis is optimized for understanding swing trading patterns (days to weeks) and medium-term market movements
• Educational Value: Study multiple analysis points to understand different market scenarios and patterns

Best Practices: Combine our analysis with fundamental research, market study, and your own risk assessment for educational purposes only.

Market Trends - Positive Movement

We identify stocks with significant daily gains showing strong positive momentum:

• Gain Threshold: Stocks with daily gains exceeding 2%
• Sorting Method: Sorted by highest percentage gains first
• Market Sentiment: Indicates strong buying pressure and positive market sentiment

These stocks represent companies experiencing strong upward momentum and positive investor sentiment for educational analysis.

Market Trends - Negative Movement

We track stocks experiencing significant daily losses showing negative momentum:

• Loss Threshold: Stocks with daily losses exceeding 2%
• Sorting Method: Sorted by largest percentage losses first
• Market Sentiment: Indicates strong selling pressure and negative market sentiment

These stocks may present educational opportunities for understanding market dynamics or serve as research data points.