diff --git a/frontend/components/dca_distribution.py b/frontend/components/dca_distribution.py
new file mode 100644
index 0000000..f7851f1
--- /dev/null
+++ b/frontend/components/dca_distribution.py
@@ -0,0 +1,62 @@
+import streamlit as st
+from hummingbot.connector.connector_base import OrderType
+
+from frontend.components.st_inputs import get_distribution, normalize, distribution_inputs
+
+
+def get_dca_distribution_inputs():
+    with st.expander("DCA Distribution", expanded=True):
+        st.header("DCA Settings")
+        buy_order_levels = st.number_input("Number of Order Levels", min_value=1, value=3,
+                                           help="Enter the number of order levels (e.g., 2).")
+
+        col_spreads, col_amounts = st.columns(2)
+        with col_spreads:
+            buy_spread_dist_type, buy_spread_start, buy_spread_base, buy_spread_scaling, buy_spread_step, buy_spread_ratio, buy_manual_spreads = distribution_inputs(
+                col_spreads, "Spread", buy_order_levels)
+        with col_amounts:
+            buy_amount_dist_type, buy_amount_start, buy_amount_base, buy_amount_scaling, buy_amount_step, buy_amount_ratio, buy_manual_amounts = distribution_inputs(
+                col_amounts, "Amount", buy_order_levels)
+
+        # Generate distributions
+        spread_distributions = get_distribution(buy_spread_dist_type, buy_order_levels, buy_spread_start,
+                                                buy_spread_base, buy_spread_scaling, buy_spread_step, buy_spread_ratio,
+                                                buy_manual_spreads)
+
+        amount_distributions = get_distribution(buy_amount_dist_type, buy_order_levels, buy_amount_start,
+                                                buy_amount_base, buy_amount_scaling,
+                                                buy_amount_step, buy_amount_ratio, buy_manual_amounts)
+
+        # Normalize and calculate order amounts
+        orders_amount_normalized = normalize(amount_distributions)
+        spreads_normalized = [spread - spread_distributions[0] for spread in spread_distributions]
+        st.write("---")
+        c1, c2, c3, c4, c5 = st.columns(5)
+        with c1:
+            sl = st.number_input("Stop Loss (%)", min_value=0.0, max_value=100.0, value=2.0, step=0.1,
+                                 help="Enter the stop loss as a percentage (e.g., 2.0 for 2%).") / 100
+        with c2:
+            tp = st.number_input("Take Profit (%)", min_value=0.0, max_value=100.0, value=1.0, step=0.1,
+                                 help="Enter the take profit as a percentage (e.g., 3.0 for 3%).") / 100
+        with c3:
+            time_limit = st.number_input("Time Limit (minutes)", min_value=0, value=60 * 6,
+                                         help="Enter the time limit in minutes (e.g., 360 for 6 hours).") * 60
+        with c4:
+            ts_ap = st.number_input("Trailing Stop Act. Price (%)", min_value=0.0, max_value=100.0, value=1.8,
+                                    step=0.1,
+                                    help="Enter the tr  ailing stop activation price as a percentage (e.g., 1.0 for 1%).") / 100
+        with c5:
+            ts_delta = st.number_input("Trailing Stop Delta (%)", min_value=0.0, max_value=100.0, value=0.2, step=0.1,
+                                       help="Enter the trailing stop delta as a percentage (e.g., 0.3 for 0.3%).") / 100
+
+    return {
+        "dca_spreads": spreads_normalized,
+        "dca_amounts": orders_amount_normalized,
+        "stop_loss": sl,
+        "take_profit": tp,
+        "time_limit": time_limit,
+        "trailing_stop": {
+            "activation_price": ts_ap,
+            "trailing_delta": ts_delta
+        },
+    }