Add Jared read-only token OHLCV ingestion and manual contract lookup

app.py

@@ -126,7 +126,7 @@ def run_dashboard(data_src, ticker, manual_token, file_upload, timeframe, start_
 
         future_plot = plot_future_forecast(df, result, indicators)
         future_table = pd.DataFrame({
-            "Date": [df.index[-1] + timedelta(days=i+1) for i in range(horizon)],
+            "Date": [df.index[-1] + timedelta(days=i+1) for i in range(effective_horizon)],
             "Prediction": result["latest_prediction"]
         })
         signals_table = signals_df.reset_index()[["Date", "Price", "Signal", "Position_Size", "Stop_Loss", "Take_Profit", "Equity"]]
@@ -149,7 +149,17 @@ def run_dashboard(data_src, ticker, manual_token, file_upload, timeframe, start_
             "Forecast": result["forecast"]
         }).to_csv(predictions_csv)
         chart_png = f"chart_{safe_name}.png"
-        pio.write_image(chart_plot, chart_png, format='png')
+        try:
+            # Kaleido v1 requires a separately provisioned Chrome binary. Keep
+            # PNG export when available, but never fail the whole analysis if
+            # the optional renderer is unavailable.
+            pio.write_image(chart_plot, chart_png, format='png')
+            chart_export = chart_png
+        except Exception as export_error:
+            logging.warning(f"PNG export unavailable: {export_error}")
+            chart_html = f"chart_{safe_name}.html"
+            chart_plot.write_html(chart_html, include_plotlyjs="cdn")
+            chart_export = chart_html
 
         with open(log_path, 'r') as log_file:
             log_output = log_file.read()
@@ -159,7 +169,7 @@ def run_dashboard(data_src, ticker, manual_token, file_upload, timeframe, start_
             chart_plot, sentiment_text, signals_table, backtest_plot, future_plot, future_table,
             r2_plot, error_plot, precision_recall_plot, risk_plot, loss_plot, architecture_plot,
             f"Dashboard generated successfully | source={df.attrs.get('source', data_src)} | token={df.attrs.get('token_address', display_ticker)}.{sizing_note}",
-            chart_png, signals_csv, predictions_csv, signals_plot, log_output
+            chart_export, signals_csv, predictions_csv, signals_plot, log_output
         ]
     except Exception as e:
         logging.error(f"Dashboard error: {str(e)}")