chart reading without confusion

The problem

Traders often suffer from analysis paralysis by over-relying on lagging indicators and cluttered oscillators. This leads to missing high-probability entries because the underlying price action story is buried under noise.

What it does

• Analyzes raw price action to identify primary trends and consolidation ranges.
• Evaluates market momentum by comparing candle body size, wick length, and speed.
• Correlates price movements with volume bars to confirm or refute breakout validity.
• Defines objective invalidation points to prevent emotional trading decisions.
• Synthesizes technical data into a single-sentence executable market thesis.

Why this beats prompting it yourself

Standard LLM prompts often return generic "financial advice" or hallucinate indicator values. This skill enforces a strict six-element framework that prioritizes raw price and volume data, ensuring the output is always grounded in market structure rather than vague sentiment.

Use cases

• Screening multiple tickers to find those trading at high-conviction range edges.
• Validating if a recent price spike is a high-volume breakout or a low-volume trap.
• Establishing clear stop-loss levels based on structural invalidation points.
• Simplifying complex charts into plain-language summaries for trading journals.

Known limitations

Requires the user to provide recent price and volume data as the skill cannot fetch live market feeds. It does not support automated execution or API-based trading.