aljaz/hummingbot-dashboard
1
0
Fork 0
mirror of https://github.com/aljazceru/hummingbot-dashboard.git synced 2026-01-04 05:54:25 +01:00
Code Issues Packages Projects Releases Wiki Activity

(feat) update dman_v2

Browse Source
This commit is contained in:
cardosofede
2024-04-17 20:48:56 -03:00
parent 74c86fbbe4
commit c921c61d8d
1 changed files with 6 additions and 73 deletions
Download Patch File Download Diff File Expand all files Collapse all files

79
pages/dman_maker_v2/app.py
View File

@@ -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,