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95 lines
3.4 KiB
Python
95 lines
3.4 KiB
Python
import numpy as np
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import plotly.graph_objects as go
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import frontend.visualization.theme as theme
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def create_executors_distribution_traces(buy_spreads, sell_spreads, buy_amounts_pct, sell_amounts_pct,
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total_amount_quote):
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colors = theme.get_color_scheme()
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buy_spread_distributions = [spread * 100 for spread in buy_spreads]
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sell_spread_distributions = [spread * 100 for spread in sell_spreads]
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buy_order_amounts_quote = [amount * total_amount_quote for amount in buy_amounts_pct]
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sell_order_amounts_quote = [amount * total_amount_quote for amount in sell_amounts_pct]
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buy_order_levels = len(buy_spread_distributions)
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sell_order_levels = len(sell_spread_distributions)
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# Calculate total volumes
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total_buy_volume = sum(buy_order_amounts_quote)
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total_sell_volume = sum(sell_order_amounts_quote)
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# Create the figure with a dark theme and secondary y-axis
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fig = go.Figure()
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# Buy orders on the negative side of x-axis
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fig.add_trace(go.Bar(
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x=[-dist for dist in buy_spread_distributions],
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y=buy_order_amounts_quote,
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name='Buy Orders',
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marker_color=colors['buy'],
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width=[0.2] * buy_order_levels # Adjust the width of the bars as needed
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))
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# Sell orders on the positive side of x-axis
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fig.add_trace(go.Bar(
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x=sell_spread_distributions,
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y=sell_order_amounts_quote,
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name='Sell Orders',
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marker_color=colors['sell'],
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width=[0.2] * sell_order_levels # Adjust the width of the bars as needed
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))
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# Add annotations for buy orders
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for i, value in enumerate(buy_order_amounts_quote):
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fig.add_annotation(
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x=-buy_spread_distributions[i],
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y=value + 0.03 * max(buy_order_amounts_quote), # Offset the text slightly above the bar
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text=str(round(value, 2)),
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showarrow=False,
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font=dict(color=colors['buy'], size=10)
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)
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# Add annotations for sell orders
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for i, value in enumerate(sell_order_amounts_quote):
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fig.add_annotation(
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x=sell_spread_distributions[i],
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y=value + 0.03 * max(sell_order_amounts_quote), # Offset the text slightly above the bar
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text=str(round(value, 2)),
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showarrow=False,
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font=dict(color=colors['sell'], size=10)
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)
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max_y = max(max(buy_order_amounts_quote), max(sell_order_amounts_quote))
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# Add annotations for total volumes
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fig.add_annotation(
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x=-np.mean(buy_spread_distributions),
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y=max_y,
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text=f'Total Buy\n{round(total_buy_volume, 2)}',
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showarrow=False,
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font=dict(color=colors['buy'], size=12, family="Arial Black"),
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align='center'
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)
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fig.add_annotation(
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x=np.mean(sell_spread_distributions),
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y=max_y,
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text=f'Total Sell\n{round(total_sell_volume, 2)}',
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showarrow=False,
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font=dict(color=colors['sell'], size=12, family="Arial Black"),
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align='center'
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)
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# Apply the theme layout
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layout_settings = theme.get_default_layout("Market Maker Order Distribution")
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fig.update_layout(**layout_settings)
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fig.update_layout(
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xaxis_title="Spread (%)",
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yaxis_title="Order Amount (Quote)",
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bargap=0.1, # Adjust the gap between the bars
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barmode='relative', # Stack the bars on top of each other
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showlegend=True,
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height=600
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)
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return fig
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