mirror of
https://github.com/aljazceru/hummingbot-dashboard.git
synced 2026-02-19 20:15:47 +01:00
(feat) adapt base values
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@@ -17,7 +17,7 @@ def get_directional_trading_general_inputs():
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with c3:
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leverage = st.number_input("Leverage", value=20,
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help="Set the leverage to use for trading (e.g., 20 for 20x leverage). Set it to 1 for spot trading.")
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interval = st.selectbox("Candles Interval", ("1m", "3m", "5m", "15m", "1h", "4h", "1d"), index=3,
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interval = st.selectbox("Candles Interval", ("1m", "3m", "5m", "15m", "1h", "4h", "1d"), index=1,
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help="Enter the interval for candles (e.g., 1m).")
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with c4:
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total_amount_quote = st.number_input("Total amount of quote", value=1000,
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@@ -26,7 +26,7 @@ def get_directional_trading_general_inputs():
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max_executors_per_side = st.number_input("Max Executors Per Side", value=5,
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help="Enter the maximum number of executors per side (e.g., 5).")
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with c6:
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cooldown_time = st.number_input("Cooldown Time (minutes)", value=15,
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cooldown_time = st.number_input("Cooldown Time (minutes)", value=10,
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help="Specify the cooldown time in minutes (e.g., 60).") * 60
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with c7:
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position_mode = st.selectbox("Position Mode", ("HEDGE", "ONEWAY"), index=0,
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@@ -6,13 +6,13 @@ def get_risk_management_inputs():
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with st.expander("Risk Management", expanded=True):
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c1, c2, c3, c4, c5, c6 = st.columns(6)
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with c1:
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sl = st.number_input("Stop Loss (%)", min_value=0.0, max_value=100.0, value=3.0, step=0.1,
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sl = st.number_input("Stop Loss (%)", min_value=0.0, max_value=100.0, value=5.0, 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=2.0, 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=60 * 6,
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time_limit = st.number_input("Time Limit (minutes)", min_value=0, value=60 * 12,
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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=1.8,
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