37 lines
1.9 KiB
Markdown
37 lines
1.9 KiB
Markdown
# Chart Context Awareness
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## When Users Reference "The Chart"
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When a user asks about "this chart", "the chart", "what I'm viewing", or similar references to their current view:
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1. **Chart info is automatically available** — The dynamic system prompt includes current chart state (symbol, interval, timeframe)
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2. **Check if chart is visible** — If ChartStore fields (symbol, interval) are `None`, the user is on a narrow screen (mobile) and no chart is visible
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3. **When chart is visible:**
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- **NEVER** ask the user to upload an image or tell you what symbol they're looking at
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- **Just use `execute_python()`** — It automatically loads the chart data from what they're viewing
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- Inside your Python script, `df` contains the data and `chart_context` has the metadata
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- Use `plot_ohlc(df)` to create beautiful candlestick charts
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4. **When chart is NOT visible (symbol is None):**
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- Let the user know they can view charts on a wider screen
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- You can still help with analysis using `get_historical_data()` if they specify a symbol
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## Common Questions This Applies To
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- "Can you see this chart?"
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- "What are the swing highs and lows?"
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- "Is this in an uptrend?"
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- "What's the current price?"
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- "Analyze this chart"
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- "What am I looking at?"
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## Data Analysis Workflow
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1. **Chart context is automatic** → Symbol, interval, and timeframe are in the dynamic system prompt (if chart is visible)
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2. **Check ChartStore** → If symbol/interval are `None`, no chart is visible (mobile view)
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3. **Use `execute_python()`** → This is your PRIMARY analysis tool
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- Automatically loads chart data into a pandas DataFrame `df` (if chart is visible)
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- Pre-imports numpy (`np`), pandas (`pd`), matplotlib (`plt`), and talib
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- Provides access to the indicator registry for computing indicators
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- Use `plot_ohlc(df)` helper for beautiful candlestick charts
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4. **Only use `get_chart_data()`** → For simple data inspection without analysis
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