diff --git a/app.py b/app.py
index 9e0c752..3cb02bd 100644
--- a/app.py
+++ b/app.py
@@ -639,8 +639,6 @@ with tab_fundlab:
                 })
             st.dataframe(pd.DataFrame(_ag), width="stretch",
                          hide_index=True)
-            _rall = st.checkbox("Expand all fund reports", value=False,
-                                key="fl_rpt_expand")
             for _s in _rorder:
                 _f = _rfunds[_s]
                 _m, _st = _f["meta"], _f.get("stats", {})
@@ -649,35 +647,38 @@ with tab_fundlab:
                           f"— {_m['name']}")
                 if _m.get("verdict"):
                     _title += f"  [{_m['verdict'][:44]}]"
-                with st.expander(_title, expanded=_rall):
+                with st.expander(_title):
                     if _f.get("narrative"):
                         st.markdown("\n\n".join(_f["narrative"]))
+                    # same re-basing-on-zoom widget as the Equity curves tab:
+                    # every visible window re-bases each line to 1.0 at its
+                    # left edge, so fund/reference/index are comparable no
+                    # matter where you zoom
                     _c = _f.get("chart", {})
                     if _c.get("dates"):
-                        import plotly.graph_objects as _go
-                        _fig = _go.Figure()
-                        _fig.add_trace(_go.Scatter(
-                            x=pd.to_datetime(_c["dates"]),
-                            y=_c["fund"], name=_m["sym"].upper(),
-                            line=dict(width=2)))
+                        from chart_widget import equity_chart_html
+                        _ds = pd.to_datetime(_c["dates"])
+                        _series = {_m["sym"].upper():
+                                   pd.Series(_c["fund"], _ds)}
                         if _c.get("ref"):
-                            _fig.add_trace(_go.Scatter(
-                                x=pd.to_datetime(_c["ref_dates"]),
-                                y=_c["ref"], name="fitted reference",
-                                line=dict(width=1.2, dash="dash")))
+                            _series["fitted reference"] = pd.Series(
+                                _c["ref"], pd.to_datetime(_c["ref_dates"]))
                         if _c.get("ivv"):
-                            _fig.add_trace(_go.Scatter(
-                                x=pd.to_datetime(_c["ivv_dates"]),
-                                y=_c["ivv"], name="S&P 500 (IVV)",
-                                line=dict(width=1, dash="dot"),
-                                opacity=0.7))
-                        _fig.update_layout(
-                            height=420, margin=dict(l=10, r=10, t=25, b=10),
-                            legend=dict(orientation="h", y=1.1),
-                            hovermode="x unified",
-                            title=f"total return since "
-                                  f"{_c['dates'][0][:4]} (rebased 100)")
-                        st.plotly_chart(_fig, width="stretch")
+                            _series["S&P 500 (IVV)"] = pd.Series(
+                                _c["ivv"], pd.to_datetime(_c["ivv_dates"]))
+                        st.iframe(equity_chart_html(
+                            {k: s / s.iloc[0]
+                             for k, s in _series.items()},
+                            _ds, height=460, ytitle="growth (1.0 = start)",
+                            styles={
+                                _m["sym"].upper(): {"width": 2},
+                                "fitted reference":
+                                    {"width": 1, "dash": "dash",
+                                     "opacity": 0.8},
+                                "S&P 500 (IVV)":
+                                    {"width": 1, "dash": "dot",
+                                     "opacity": 0.5},
+                            }), height=490)
                     if _f.get("perf"):
                         st.dataframe(pd.DataFrame(
                             _f["perf"],
@@ -713,6 +714,10 @@ with tab_fundlab:
                                      "R² 5y", "alpha 5y", "tax"]),
                             width="stretch", hide_index=True)
                         st.caption(_pe["proscons"])
+            st.caption("← the rest of the Fund Lab continues below: "
+                       "alpha search, return-driver clusters, N-PORT "
+                       "cross-check, drawdown resilience, tax location, "
+                       "and the CEF ranking.")
 
     # --- alpha search: all screened funds (shortlist + longlist + harvest)
     with st.expander("Alpha search — all screened funds, ranked"):
diff --git a/fundlab/RESEARCH.md b/fundlab/RESEARCH.md
index 9ba7a49..0ab20ef 100644
--- a/fundlab/RESEARCH.md
+++ b/fundlab/RESEARCH.md
@@ -1136,3 +1136,16 @@ chart, period table, drivers, reference mix, tax, peers) + an "expand
 all" checkbox. Static build so the page stays fast; regenerate with
 `python -m fundlab.reportdata` (~8 s) and `python -m fundlab.report`
 (~11 s for the HTML).
+
+**Report charts: re-basing-on-zoom widget (2nd pass).** The first report
+build used static st.plotly_chart with pre-rebased series — zooming to a
+window left the lines starting at different levels (no comparison
+possible). Replaced with the SAME widget as the Equity curves tab
+(`chart_widget.equity_chart_html` + st.iframe): on every relayout each
+visible line is re-based to 1.0 at its left edge and y fits the visible
+data, so fund/reference/index are comparable in any window. report_data
+still stores the full-history series; the app divides by each series'
+first point before handing it to the widget (per-series 1.0 start, as
+the widget expects). Also removed the "expand all" checkbox (24 expanded
+sections made the page unusable and hid the sections below) and added a
+"rest of the Fund Lab continues below" marker.