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1437e6d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 | import plotly.graph_objects as go
from plotly.subplots import make_subplots
import numpy as np
class ChartRenderer:
def __init__(self):
pass
def render_price_chart(self, prices, actions=None, current_step=0):
"""Render price chart with actions"""
fig = go.Figure()
if not prices:
# Return empty figure if no data
fig.update_layout(
title="Price Chart - No Data Available",
xaxis_title="Time Step",
yaxis_title="Price",
height=300,
template="plotly_white"
)
return fig
# Add price line
fig.add_trace(go.Scatter(
x=list(range(len(prices))),
y=prices,
mode='lines',
name='Price',
line=dict(color='blue', width=2)
))
# Add action markers if provided
if actions and len(actions) == len(prices):
buy_indices = [i for i, action in enumerate(actions) if action == 1]
sell_indices = [i for i, action in enumerate(actions) if action == 2]
close_indices = [i for i, action in enumerate(actions) if action == 3]
if buy_indices:
fig.add_trace(go.Scatter(
x=buy_indices,
y=[prices[i] for i in buy_indices],
mode='markers',
name='Buy',
marker=dict(color='green', size=10, symbol='triangle-up',
line=dict(width=2, color='darkgreen'))
))
if sell_indices:
fig.add_trace(go.Scatter(
x=sell_indices,
y=[prices[i] for i in sell_indices],
mode='markers',
name='Sell',
marker=dict(color='red', size=10, symbol='triangle-down',
line=dict(width=2, color='darkred'))
))
if close_indices:
fig.add_trace(go.Scatter(
x=close_indices,
y=[prices[i] for i in close_indices],
mode='markers',
name='Close',
marker=dict(color='orange', size=8, symbol='x',
line=dict(width=2, color='darkorange'))
))
fig.update_layout(
title=f"Price Chart (Step: {current_step})",
xaxis_title="Time Step",
yaxis_title="Price",
height=300,
showlegend=True,
template="plotly_white"
)
return fig
def create_performance_chart(self, net_worth_history, reward_history, initial_balance):
"""Create portfolio performance chart"""
fig = make_subplots(
rows=2, cols=1,
subplot_titles=['Portfolio Value Over Time', 'Step Rewards'],
vertical_spacing=0.15
)
if not net_worth_history:
fig.update_layout(title="No Data Available", height=400)
return fig
# Portfolio value
fig.add_trace(go.Scatter(
x=list(range(len(net_worth_history))),
y=net_worth_history,
mode='lines+markers',
name='Net Worth',
line=dict(color='green', width=3),
marker=dict(size=4)
), row=1, col=1)
# Add initial balance reference line
fig.add_hline(y=initial_balance, line_dash="dash",
line_color="red", annotation_text="Initial Balance",
row=1, col=1)
# Rewards as bar chart
if reward_history:
fig.add_trace(go.Bar(
x=list(range(len(reward_history))),
y=reward_history,
name='Reward',
marker_color=['green' if r >= 0 else 'red' for r in reward_history],
opacity=0.7
), row=2, col=1)
fig.update_layout(height=500, showlegend=False, template="plotly_white")
fig.update_yaxes(title_text="Value ($)", row=1, col=1)
fig.update_yaxes(title_text="Reward", row=2, col=1)
fig.update_xaxes(title_text="Step", row=2, col=1)
return fig
def create_action_distribution(self, actions):
"""Create action distribution pie chart"""
fig = go.Figure()
if not actions:
fig.update_layout(title="No Actions Available", height=300)
return fig
action_names = ['Hold', 'Buy', 'Sell', 'Close']
action_counts = [actions.count(i) for i in range(4)]
colors = ['blue', 'green', 'red', 'orange']
fig = go.Figure(data=[go.Pie(
labels=action_names,
values=action_counts,
hole=.4,
marker_colors=colors,
textinfo='label+percent+value',
hoverinfo='label+percent+value'
)])
fig.update_layout(
title="Action Distribution",
height=350,
annotations=[dict(text='Actions', x=0.5, y=0.5, font_size=16, showarrow=False)],
template="plotly_white"
)
return fig
def create_training_progress(self, training_history):
"""Create training progress visualization"""
if not training_history:
fig = go.Figure()
fig.update_layout(title="No Training Data Available", height=500)
return fig
episodes = [h['episode'] for h in training_history]
rewards = [h['reward'] for h in training_history]
net_worths = [h['net_worth'] for h in training_history]
losses = [h.get('loss', 0) for h in training_history]
fig = make_subplots(
rows=2, cols=2,
subplot_titles=['Episode Rewards', 'Portfolio Value',
'Training Loss', 'Moving Average Reward (5)'],
specs=[[{}, {}], [{}, {}]]
)
# Rewards
fig.add_trace(go.Scatter(
x=episodes, y=rewards, mode='lines+markers',
name='Reward', line=dict(color='blue', width=2),
marker=dict(size=4)
), row=1, col=1)
# Portfolio value
fig.add_trace(go.Scatter(
x=episodes, y=net_worths, mode='lines+markers',
name='Net Worth', line=dict(color='green', width=2),
marker=dict(size=4)
), row=1, col=2)
# Loss
if any(loss > 0 for loss in losses):
fig.add_trace(go.Scatter(
x=episodes, y=losses, mode='lines+markers',
name='Loss', line=dict(color='red', width=2),
marker=dict(size=4)
), row=2, col=1)
# Moving average reward
if len(rewards) > 5:
ma_rewards = []
for i in range(len(rewards)):
start_idx = max(0, i - 4)
ma = np.mean(rewards[start_idx:i+1])
ma_rewards.append(ma)
fig.add_trace(go.Scatter(
x=episodes, y=ma_rewards, mode='lines',
name='MA Reward (5)', line=dict(color='orange', width=3, dash='dash')
), row=2, col=2)
fig.update_layout(
height=600,
showlegend=True,
title_text="Training Progress Over Episodes",
template="plotly_white"
)
return fig |