Remove weekend gaps from candlestick charts

- Use index positions instead of datetime for x-axis
- All candles now evenly spaced (no gaps for weekends/holidays)
- Date labels still show actual dates at regular intervals
- Updated example chart to reflect changes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

chart_generator.py

@@ -39,29 +39,37 @@ class ChartGenerator:
             fig, ax = plt.subplots(figsize=(12, 6), facecolor='#1e1e1e')
             ax.set_facecolor('#2d2d2d')
 
+            # Use index positions to remove weekend gaps
+            x_pos = list(range(len(closes)))
+
             # Plot closing prices
-            ax.plot(dates, closes, color='#00d4ff', linewidth=2)
+            ax.plot(x_pos, closes, color='#00d4ff', linewidth=2)
 
             # Fill area under the line
-            ax.fill_between(dates, closes, alpha=0.3, color='#00d4ff')
+            ax.fill_between(x_pos, closes, alpha=0.3, color='#00d4ff')
 
-            # Format x-axis (detect if intraday or multi-day)
+            # Format x-axis with date labels (removing gaps)
             if len(dates) > 0:
                 # Check if all data is from the same day
                 first_date = dates[0].date()
                 last_date = dates[-1].date()
                 is_intraday = first_date == last_date
 
+                # Select tick positions (show ~7-10 labels)
+                tick_spacing = max(1, len(dates) // 7)
+                tick_indices = list(range(0, len(dates), tick_spacing))
+                if tick_indices[-1] != len(dates) - 1:
+                    tick_indices.append(len(dates) - 1)
+
                 if is_intraday:
                     # Show time for intraday data
-                    ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
+                    tick_labels = [dates[i].strftime('%H:%M') for i in tick_indices]
-                    ax.xaxis.set_major_locator(mdates.HourLocator(interval=1))
                 else:
                     # Show date for multi-day data
-                    ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))
+                    tick_labels = [dates[i].strftime('%m/%d') for i in tick_indices]
-                    ax.xaxis.set_major_locator(mdates.AutoDateLocator())
 
-            plt.xticks(rotation=45, ha='right')
+                ax.set_xticks(tick_indices)
+                ax.set_xticklabels(tick_labels, rotation=45, ha='right')
 
             # Grid styling
             ax.grid(True, alpha=0.2, color='#ffffff', linestyle='-', linewidth=0.5)
@@ -126,35 +134,40 @@ class ChartGenerator:
             # Calculate bar width
             width = 0.6
 
-            # Plot candlesticks
+            # Plot candlesticks using index positions (removes weekend gaps)
             for i in range(len(dates)):
                 color = '#00ff88' if closes[i] >= opens[i] else '#ff4444'
 
                 # High-low line
-                ax.plot([dates[i], dates[i]], [lows[i], highs[i]], color=color, linewidth=1)
+                ax.plot([i, i], [lows[i], highs[i]], color=color, linewidth=1)
 
                 # Open-close rectangle
                 height = abs(closes[i] - opens[i])
                 bottom = min(opens[i], closes[i])
-                ax.bar(dates[i], height, width, bottom=bottom, color=color, alpha=0.8)
+                ax.bar(i, height, width, bottom=bottom, color=color, alpha=0.8)
 
-            # Format x-axis (detect if intraday or multi-day)
+            # Format x-axis with date labels (removing gaps)
             if len(dates) > 0:
                 # Check if all data is from the same day
                 first_date = dates[0].date()
                 last_date = dates[-1].date()
                 is_intraday = first_date == last_date
 
+                # Select tick positions (show ~7-10 labels)
+                tick_spacing = max(1, len(dates) // 7)
+                tick_indices = list(range(0, len(dates), tick_spacing))
+                if tick_indices[-1] != len(dates) - 1:
+                    tick_indices.append(len(dates) - 1)
+
                 if is_intraday:
                     # Show time for intraday data
-                    ax.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))
+                    tick_labels = [dates[i].strftime('%H:%M') for i in tick_indices]
-                    ax.xaxis.set_major_locator(mdates.HourLocator(interval=1))
                 else:
                     # Show date for multi-day data
-                    ax.xaxis.set_major_formatter(mdates.DateFormatter('%m/%d'))
+                    tick_labels = [dates[i].strftime('%m/%d') for i in tick_indices]
-                    ax.xaxis.set_major_locator(mdates.AutoDateLocator())
 
-            plt.xticks(rotation=45, ha='right')
+                ax.set_xticks(tick_indices)
+                ax.set_xticklabels(tick_labels, rotation=45, ha='right')
 
             # Grid styling
             ax.grid(True, alpha=0.2, color='#ffffff', linestyle='-', linewidth=0.5)