Stock Lows Analyzer

Stock Multi-Period Grid & Grouped Watchlist Analyzer

This skill provides a comprehensive grid analysis of stocks across four key time periods (3Y, 6M, 3M, 7D) with tiered recommendations.

Workflow

1. Identify Symbols: By default, the script reads all symbols from references/tech_stocks.md. You can also provide a specific list as arguments.
2. Environment Check: Verify yfinance is installed (pip install yfinance).
3. Run Analysis: Execute scripts/analyze_stocks.py.
4. Open Report: The script generates a timestamped report in the OUTPUT/ directory.

Using the Script

Run the script to analyze all default symbols:

python scripts/analyze_stocks.py

Or analyze specific symbols:

python scripts/analyze_stocks.py TSLA NVDA AMZN

Analysis Features

• Automatic Symbol Fetching: If no symbols are provided, it automatically reads the curated list from references/tech_stocks.md.
• Categorized BUY Targets:
  • Long Term BUY: Triggered if at least 2 long-term periods (3Y, 6M, 3M) are near their lows (<15% for 3Y/6M, <20% for 3M).
  • Short Term BUY: Triggered if 7D Pos% is low (<25%) AND 7D Volatility is significant (>=10%), OR if 3M Volatility is high (>50%) and 3M Pos% is low (<20%).
• Categorized SELL Targets: Triggered if price is near multi-period highs (>95% for 3Y/6M/3M/7D).
• Categorized WATCHLIST: Triggered by high volatility (3M > 50% or 7D > 20%).
• Grouped Results: Stocks are categorized into BUY TARGETS, SELL TARGETS, WATCHLIST, and OTHER STOCKS.
• Alphabetical Sorting: Each category is sorted alphabetically.
• Precision Highlighting: Red (BUY signal), Green (SELL signal), and Orange (WATCH signal) cell backgrounds.
• Caching: Historical data (Close, High, Low) is cached for 24 hours.

Output

• Organized Storage: All reports are stored in the OUTPUT/ directory.
• Grouped Interface: Interactive reports feature categorized tables followed by price charts.

Reference Material

• references/tech_stocks.md: Curated list of major U.S. tech and growth stocks.