diff --git a/pages/dman_maker_v2/app.py b/pages/dman_maker_v2/app.py
index 78bf932..d3203ad 100644
--- a/pages/dman_maker_v2/app.py
+++ b/pages/dman_maker_v2/app.py
@@ -1,4 +1,3 @@
-from math import exp
 import streamlit as st
 from plotly.subplots import make_subplots
 import plotly.graph_objects as go
@@ -8,73 +7,7 @@ import yaml
 from CONFIG import BACKEND_API_HOST, BACKEND_API_PORT
 from utils.backend_api_client import BackendAPIClient
 from utils.st_utils import initialize_st_page
-from hummingbot.smart_components.utils.distributions import Distributions
-
-
-def normalize(values):
-    total = sum(values)
-    return [Decimal(val / total) for val in values]
-
-
-def distribution_inputs(column, dist_type_name, levels=3):
-    if dist_type_name == "Spread":
-        dist_type = column.selectbox(
-            f"Type of {dist_type_name} Distribution",
-            ("Manual", "GeoCustom", "Geometric", "Fibonacci", "Logarithmic", "Arithmetic"),
-            key=f"{column}_{dist_type_name.lower()}_dist_type",
-            # Set the default value
-        )
-    else:
-        dist_type = column.selectbox(
-            f"Type of {dist_type_name} Distribution",
-            ("Manual", "Geometric", "Fibonacci", "Logarithmic", "Arithmetic"),
-            key=f"{column}_{dist_type_name.lower()}_dist_type",
-            # Set the default value
-        )
-    base, scaling_factor, step, ratio, manual_values = None, None, None, None, None
-
-    if dist_type != "Manual":
-        start = column.number_input(f"{dist_type_name} Start Value", value=1.0,
-                                    key=f"{column}_{dist_type_name.lower()}_start")
-        if dist_type == "Logarithmic":
-            base = column.number_input(f"{dist_type_name} Log Base", value=exp(1),
-                                       key=f"{column}_{dist_type_name.lower()}_base")
-            scaling_factor = column.number_input(f"{dist_type_name} Scaling Factor", value=2.0,
-                                                 key=f"{column}_{dist_type_name.lower()}_scaling")
-        elif dist_type == "Arithmetic":
-            step = column.number_input(f"{dist_type_name} Step", value=0.1,
-                                       key=f"{column}_{dist_type_name.lower()}_step")
-        elif dist_type == "Geometric":
-            ratio = column.number_input(f"{dist_type_name} Ratio", value=2.0,
-                                        key=f"{column}_{dist_type_name.lower()}_ratio")
-        elif dist_type == "GeoCustom":
-            ratio = column.number_input(f"{dist_type_name} Ratio", value=2.0,
-                                        key=f"{column}_{dist_type_name.lower()}_ratio")
-    else:
-        manual_values = [column.number_input(f"{dist_type_name} for level {i + 1}", value=i + 1.0,
-                                             key=f"{column}_{dist_type_name.lower()}_{i}") for i in range(levels)]
-        start = None  # As start is not relevant for Manual type
-
-    return dist_type, start, base, scaling_factor, step, ratio, manual_values
-
-
-def get_distribution(dist_type, n_levels, start, base=None, scaling_factor=None, step=None, ratio=None,
-                     manual_values=None):
-    if dist_type == "Manual":
-        return manual_values
-    elif dist_type == "Linear":
-        return Distributions.linear(n_levels, start, start + ts_ap)
-    elif dist_type == "Fibonacci":
-        return Distributions.fibonacci(n_levels, start)
-    elif dist_type == "Logarithmic":
-        return Distributions.logarithmic(n_levels, base, scaling_factor, start)
-    elif dist_type == "Arithmetic":
-        return Distributions.arithmetic(n_levels, start, step)
-    elif dist_type == "Geometric":
-        return Distributions.geometric(n_levels, start, ratio)
-    elif dist_type == "GeoCustom":
-        return [Decimal("0")] + Distributions.geometric(n_levels - 1, start, ratio)
-
+from utils.st_inputs import normalize, distribution_inputs, get_distribution
 
 # Initialize the Streamlit page
 initialize_st_page(title="D-Man Maker V2", icon="🧙‍♂️", initial_sidebar_state="collapsed")
@@ -142,9 +75,9 @@ sell_amount_distributions = normalize(
                      sell_amount_step, sell_amount_ratio, sell_manual_amounts))
 
 all_orders_amount_normalized = normalize(buy_amount_distributions + sell_amount_distributions)
-buy_order_amounts_quote = [Decimal(amount * total_amount_quote) for amount in
+buy_order_amounts_quote = [amount * total_amount_quote for amount in
                            all_orders_amount_normalized[:buy_order_levels]]
-sell_order_amounts_quote = [Decimal(amount * total_amount_quote) for amount in
+sell_order_amounts_quote = [amount * total_amount_quote for amount in
                             all_orders_amount_normalized[buy_order_levels:]]
 
 # Initialize your figure with a dark theme
@@ -417,7 +350,7 @@ st.write("---")
 st.plotly_chart(fig)
 c1, c2, c3 = st.columns([2, 2, 1])
 with c1:
-    config_base = st.text_input("Config Base", value=f"{connector}-{trading_pair.split('-')[0]}")
+    config_base = st.text_input("Config Base", value=f"dman_maker_v2-{connector}-{trading_pair.split('-')[0]}")
 with c2:
     config_tag = st.text_input("Config Tag", value="1.1")
 
@@ -431,8 +364,8 @@ config = {
         "connector_name": connector,
         "trading_pair": trading_pair,
         "total_amount_quote": total_amount_quote,
-        "buy_spreads": [spread / 100 for spread in buy_spread_distributions],
-        "sell_spreads": [spread / 100 for spread in sell_spread_distributions],
+        "buy_spreads": [Decimal(spread / 100) for spread in buy_spread_distributions],
+        "sell_spreads": [Decimal(spread / 100) for spread in sell_spread_distributions],
         "buy_amounts_pct": buy_order_amounts_quote,
         "sell_amounts_pct": sell_order_amounts_quote,
         "executor_refresh_time": executor_refresh_time * 60,