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83 lines
4.8 KiB
Python
83 lines
4.8 KiB
Python
import streamlit as st
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from frontend.components.st_inputs import distribution_inputs, get_distribution, normalize
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def get_dca_distribution_inputs():
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with st.expander("DCA Builder", expanded=True):
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default_config = st.session_state.get("default_config", {})
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dca_spreads = default_config.get("dca_spreads", [0.01, 0.02, 0.03])
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dca_amounts = default_config.get("dca_amounts", [0.2, 0.5, 0.3])
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tp = default_config.get("take_profit", 0.01) * 100
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sl = default_config.get("stop_loss", 0.02) * 100
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time_limit = default_config.get("time_limit", 60 * 6 * 60) // 60
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ts_ap = default_config.get("trailing_stop", {}).get("activation_price", 0.018) * 100
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ts_delta = default_config.get("trailing_stop", {}).get("trailing_delta", 0.002) * 100
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levels_def = len(dca_spreads)
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c1, c2 = st.columns([0.67, 0.33])
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with c1:
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st.header("DCA Distribution")
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buy_order_levels = st.number_input("Number of Order Levels", min_value=1, value=levels_def,
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help="Enter the number of order levels (e.g., 2).")
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if buy_order_levels > levels_def:
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dca_spreads += [0.01 + max(dca_spreads)] * (buy_order_levels - levels_def)
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dca_amounts += [0.2 + max(dca_amounts)] * (buy_order_levels - levels_def)
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elif buy_order_levels < levels_def:
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dca_spreads = dca_spreads[:buy_order_levels]
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dca_amounts = dca_amounts[:buy_order_levels]
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col_spreads, col_amounts = st.columns(2)
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with col_spreads:
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buy_spread_dist_type, buy_spread_start, buy_spread_base, buy_spread_scaling, buy_spread_step, \
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buy_spread_ratio, buy_manual_spreads = distribution_inputs(col_spreads,
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"Spread", buy_order_levels, dca_spreads)
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with col_amounts:
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buy_amount_dist_type, buy_amount_start, buy_amount_base, buy_amount_scaling, buy_amount_step, \
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buy_amount_ratio, buy_manual_amounts = distribution_inputs(col_amounts, "Amount",
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buy_order_levels, dca_amounts)
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# Generate distributions
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spread_distributions = get_distribution(buy_spread_dist_type, buy_order_levels, buy_spread_start,
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buy_spread_base, buy_spread_scaling, buy_spread_step, buy_spread_ratio,
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buy_manual_spreads)
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amount_distributions = get_distribution(buy_amount_dist_type, buy_order_levels, buy_amount_start,
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buy_amount_base, buy_amount_scaling,
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buy_amount_step, buy_amount_ratio, buy_manual_amounts)
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# Normalize and calculate order amounts
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orders_amount_normalized = normalize(amount_distributions)
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spreads_normalized = [spread - spread_distributions[0] for spread in spread_distributions]
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st.write("---")
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# c1, c2, c3, c4, c5 = st.columns(5)
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with c2:
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st.header("Risk Management")
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sl = st.number_input("Stop Loss (%)", min_value=0.0, max_value=100.0, value=sl, step=0.1,
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help="Enter the stop loss as a percentage (e.g., 2.0 for 2%).") / 100
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# with c2:
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tp = st.number_input("Take Profit (%)", min_value=0.0, max_value=100.0, value=tp, step=0.1,
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help="Enter the take profit as a percentage (e.g., 3.0 for 3%).") / 100
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# with c3:
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time_limit = st.number_input("Time Limit (minutes)", min_value=0, value=time_limit,
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help="Enter the time limit in minutes (e.g., 360 for 6 hours).") * 60
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# with c4:
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ts_ap = st.number_input("Trailing Stop Act. Price (%)", min_value=0.0, max_value=100.0, value=ts_ap,
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step=0.1,
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help="Enter the tr ailing stop activation price as a percentage (e.g., 1.0 for 1%).") / 100
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# with c5:
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ts_delta = st.number_input("Trailing Stop Delta (%)", min_value=0.0, max_value=100.0, value=ts_delta,
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step=0.1,
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help="Enter the trailing stop delta as a percentage (e.g., 0.3 for 0.3%).") / 100
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return {
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"dca_spreads": [spread / 100 for spread in spreads_normalized],
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"dca_amounts": orders_amount_normalized,
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"stop_loss": sl,
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"take_profit": tp,
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"time_limit": time_limit,
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"trailing_stop": {
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"activation_price": ts_ap,
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"trailing_delta": ts_delta
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},
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}
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