Show data in sections

src/main.py

@@ -1,113 +1,5 @@
-from datetime import date
-
 import streamlit as st
 
-from datasource import get_data, get_dataset_path, load_symbols
-
-st.set_page_config(layout="wide")
-
-defaults = {
-    "dataset": get_dataset_path("alpaca"),
-    "date": None,
-    "symbols": [],
-    "min_open": 1.0,
-    "min_gap": None,
-    "min_run": None,
-    "min_vol": 1_000_000,
-    "min_relvol": 2,
-    "x_axis": "open",
-    "y_axis": "change_pct",
-}
-for key, value in defaults.items():
-    if key not in st.session_state:
-        st.session_state[key] = value
-
-st.title("Market Overview")
-
-with st.sidebar:
-    st.session_state.dataset = st.selectbox(
-        "Dataset",
-        (
-            get_dataset_path("alpaca"),
-            get_dataset_path("intraday"),
-        ),
-    )
-
-    use_date_filter = st.checkbox("Filter by date range", value=False)
-    if use_date_filter:
-        start_default = date.today().replace(day=1)
-        end_default = date.today()
-        st.session_state.date = st.date_input(
-            "Date range",
-            value=(start_default, end_default),
-        )
-    else:
-        st.session_state.date = None
-
-    st.session_state.symbols = st.multiselect(
-        "Symbols", load_symbols(st.session_state.dataset)
-    )
-    st.session_state.min_open = st.number_input(
-        "Min open", value=st.session_state.min_open
-    )
-    st.session_state.min_gap = st.number_input("Min gap %", value=None)
-    st.session_state.min_run = st.number_input("Min run %", value=None)
-    st.session_state.min_vol = st.number_input(
-        "Min volume", value=st.session_state.min_vol
-    )
-    st.session_state.min_relvol = st.number_input(
-        "Min rel volume", value=st.session_state.min_relvol
-    )
-
-results_placeholder = st.empty()
-
-f = st.session_state
-filters = []
-if f.date and isinstance(f.date, tuple) and len(f.date) == 2:
-    start_date, end_date = f.date
-    filters.append(
-        f"date >= '{start_date.strftime('%Y-%m-%d')}' AND date <= '{end_date.strftime('%Y-%m-%d')}'"
-    )
-
-if f.symbols:
-    filters.append(f"symbol IN {tuple(f.symbols)}")
-if f.min_open:
-    filters.append(f"open >= {f.min_open}")
-if f.min_vol:
-    filters.append(f"volume >= {f.min_vol}")
-if f.min_relvol:
-    filters.append(f"relative_volume >= {f.min_relvol}")
-if f.min_gap:
-    filters.append(f"gap_pct >= {f.min_gap}")
-if f.min_run:
-    filters.append(f"run_pct >= {f.min_run}")
-
-df = get_data(st.session_state.dataset, filters if filters else None)
-
-with results_placeholder:
-    st.markdown("---")
-    st.markdown(f"**Results: {len(df)}**")
-
-if df.empty:
-    st.info("No data found with current filters.")
-else:
-    numeric_cols = df.select_dtypes("number").columns.tolist()
-
-    col1, col2 = st.columns(2)
-    with col1:
-        st.selectbox(
-            "X-axis",
-            numeric_cols,
-            key="x_axis",
-        )
-    with col2:
-        st.selectbox(
-            "Y-axis",
-            numeric_cols,
-            key="y_axis",
-        )
+st.title("Welcome")
 
-    st.scatter_chart(
-        df, x=st.session_state.x_axis, y=st.session_state.y_axis, color="symbol"
-    )
-    st.dataframe(df, use_container_width=True)
+st.write("Select sections at the left to navigate")

src/pages/data_daily.py

@@ -0,0 +1,11 @@
+import streamlit as st
+from datasource import get_data, get_dataset_path
+
+st.set_page_config(layout="wide")
+
+df = get_data(get_dataset_path("alpaca"))
+
+st.dataframe(df, use_container_width=True)
+
+if st.button("Refresh"):
+    st.cache_data.clear()

src/pages/data_intraday.py

@@ -0,0 +1,11 @@
+import streamlit as st
+from datasource import get_data, get_dataset_path
+
+st.set_page_config(layout="wide")
+
+df = get_data(get_dataset_path("intraday"))
+
+st.dataframe(df, use_container_width=True)
+
+if st.button("Refresh"):
+    st.cache_data.clear()

src/pages/market.py

@@ -0,0 +1,113 @@
+from datetime import date
+
+import streamlit as st
+
+from datasource import get_data, get_dataset_path, load_symbols
+
+st.set_page_config(layout="wide")
+
+defaults = {
+    "dataset": get_dataset_path("alpaca"),
+    "date": None,
+    "symbols": [],
+    "min_open": 1.0,
+    "min_gap": None,
+    "min_run": None,
+    "min_vol": 1_000_000,
+    "min_relvol": 2,
+    "x_axis": "open",
+    "y_axis": "change_pct",
+}
+for key, value in defaults.items():
+    if key not in st.session_state:
+        st.session_state[key] = value
+
+st.title("Market Overview")
+
+with st.sidebar:
+    st.session_state.dataset = st.selectbox(
+        "Dataset",
+        (
+            get_dataset_path("alpaca"),
+            get_dataset_path("intraday"),
+        ),
+    )
+
+    use_date_filter = st.checkbox("Filter by date range", value=False)
+    if use_date_filter:
+        start_default = date.today().replace(day=1)
+        end_default = date.today()
+        st.session_state.date = st.date_input(
+            "Date range",
+            value=(start_default, end_default),
+        )
+    else:
+        st.session_state.date = None
+
+    st.session_state.symbols = st.multiselect(
+        "Symbols", load_symbols(st.session_state.dataset)
+    )
+    st.session_state.min_open = st.number_input(
+        "Min open", value=st.session_state.min_open
+    )
+    st.session_state.min_gap = st.number_input("Min gap %", value=None)
+    st.session_state.min_run = st.number_input("Min run %", value=None)
+    st.session_state.min_vol = st.number_input(
+        "Min volume", value=st.session_state.min_vol
+    )
+    st.session_state.min_relvol = st.number_input(
+        "Min rel volume", value=st.session_state.min_relvol
+    )
+
+results_placeholder = st.empty()
+
+f = st.session_state
+filters = []
+if f.date and isinstance(f.date, tuple) and len(f.date) == 2:
+    start_date, end_date = f.date
+    filters.append(
+        f"date >= '{start_date.strftime('%Y-%m-%d')}' AND date <= '{end_date.strftime('%Y-%m-%d')}'"
+    )
+
+if f.symbols:
+    filters.append(f"symbol IN {tuple(f.symbols)}")
+if f.min_open:
+    filters.append(f"open >= {f.min_open}")
+if f.min_vol:
+    filters.append(f"volume >= {f.min_vol}")
+if f.min_relvol:
+    filters.append(f"relative_volume >= {f.min_relvol}")
+if f.min_gap:
+    filters.append(f"gap_pct >= {f.min_gap}")
+if f.min_run:
+    filters.append(f"run_pct >= {f.min_run}")
+
+df = get_data(st.session_state.dataset, filters if filters else None)
+
+with results_placeholder:
+    st.markdown("---")
+    st.markdown(f"**Results: {len(df)}**")
+
+if df.empty:
+    st.info("No data found with current filters.")
+else:
+    numeric_cols = df.select_dtypes("number").columns.tolist()
+
+    col1, col2 = st.columns(2)
+    with col1:
+        st.selectbox(
+            "X-axis",
+            numeric_cols,
+            key="x_axis",
+        )
+    with col2:
+        st.selectbox(
+            "Y-axis",
+            numeric_cols,
+            key="y_axis",
+        )
+
+    st.scatter_chart(
+        df, x=st.session_state.x_axis, y=st.session_state.y_axis, color="symbol"
+    )
+    st.dataframe(df, use_container_width=True)