mirror of
https://github.com/aljazceru/hummingbot-dashboard.git
synced 2025-12-21 15:34:19 +01:00
63 lines
3.4 KiB
Python
63 lines
3.4 KiB
Python
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": [spread /100 for spread in 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
|
|
},
|
|
}
|