diff --git a/.Jules/palette.md b/.Jules/palette.md
new file mode 100644
index 0000000..d2bd77d
--- /dev/null
+++ b/.Jules/palette.md
@@ -0,0 +1,3 @@
+## 2024-05-28 - Financial Input Tooltips
+**Learning:** Users can misinterpret abstract financial inputs (like quantiles, basis points, or decimals) if they lack concrete examples. Providing explicit translations (e.g., "10 bps = 0.10%") in native tooltips drastically improves accessibility and prevents configuration errors.
+**Action:** Always include a `help` argument with a concrete numerical example when building inputs for statistical parameters or fractional rates.
diff --git a/src/dashboard.py b/src/dashboard.py
index 4156c1d..f7555d2 100644
--- a/src/dashboard.py
+++ b/src/dashboard.py
@@ -170,7 +170,14 @@ def get_cache_key(*args) -> str:
     else:
         factor_window = st.slider("Factor Beta Window (days)", 20, 252, 63, 7)
         vol_window = st.slider("Regime Vol Window (days)", 10, 60, 21, 5)
-        adv_pct = st.slider("ADV Participation %", 0.01, 0.30, float(DEFAULT_ADV_PCT), 0.01)
+        adv_pct = st.slider(
+            "ADV Participation %",
+            0.01,
+            0.30,
+            float(DEFAULT_ADV_PCT),
+            0.01,
+            help="Target participation rate of Average Daily Volume (e.g., 0.10 = 10% of ADV).",
+        )
 
     st.markdown("---")
     st.subheader("4. Research Rigor")
@@ -185,12 +192,25 @@ def get_cache_key(*args) -> str:
         st.info("Using full-sample quantiles (exploratory mode)")
 
     vol_q_high = st.slider(
-        "High Volatility Quantile", 0.5, 0.95, DEFAULT_VOL_QUANTILE_HIGH, 0.05
+        "High Volatility Quantile",
+        0.5,
+        0.95,
+        DEFAULT_VOL_QUANTILE_HIGH,
+        0.05,
+        help="Top percentile defining the high volatility regime (e.g., 0.80 = top 20% of volatility).",
     )
 
     if mode == "Single-Asset":
         st.subheader("5. Backtest Settings")
-        bt_cost = st.number_input("Transaction Cost (bps)", value=DEFAULT_COST_BPS, step=1) / 10000
+        bt_cost = (
+            st.number_input(
+                "Transaction Cost (bps)",
+                value=DEFAULT_COST_BPS,
+                step=1,
+                help="Estimated transaction cost in basis points (e.g., 10 bps = 0.10%).",
+            )
+            / 10000
+        )
         allow_short = st.checkbox("Allow Short Selling?", value=False)
     else:
         st.subheader("5. Alert Thresholds")