# Visualisation du systeme hybride
def visualize_hybrid_signals(signals: List[HybridSignal]):
"""
Visualise les signaux hybrides.
"""
if not signals:
print("Pas de signaux a visualiser")
return
fig, axes = plt.subplots(2, 2, figsize=(14, 10))
# Signal comparison
ax1 = axes[0, 0]
symbols = [s.symbol for s in signals]
llm_signals = [s.llm_signal for s in signals]
tech_signals = [s.technical_signal for s in signals]
fused_signals = [s.fused_signal for s in signals]
x = np.arange(len(symbols))
width = 0.25
ax1.bar(x - width, llm_signals, width, label='LLM', color='blue', alpha=0.7)
ax1.bar(x, tech_signals, width, label='Technical', color='green', alpha=0.7)
ax1.bar(x + width, fused_signals, width, label='Fused', color='red', alpha=0.7)
ax1.set_xlabel('Symbol')
ax1.set_ylabel('Signal Strength')
ax1.set_title('Signal Comparison', fontsize=12, fontweight='bold')
ax1.set_xticks(x)
ax1.set_xticklabels(symbols)
ax1.axhline(y=0, color='black', linestyle='-', linewidth=0.5)
ax1.legend()
ax1.grid(True, alpha=0.3)
# Confidence levels
ax2 = axes[0, 1]
llm_conf = [s.llm_confidence for s in signals]
tech_conf = [s.technical_confidence for s in signals]
ax2.bar(x - width/2, llm_conf, width, label='LLM Confidence', color='blue', alpha=0.7)
ax2.bar(x + width/2, tech_conf, width, label='Technical Confidence', color='green', alpha=0.7)
ax2.set_xlabel('Symbol')
ax2.set_ylabel('Confidence')
ax2.set_title('Confidence Levels', fontsize=12, fontweight='bold')
ax2.set_xticks(x)
ax2.set_xticklabels(symbols)
ax2.legend()
ax2.grid(True, alpha=0.3)
# Position sizes
ax3 = axes[1, 0]
positions = [s.position_size * 100 for s in signals]
colors = ['green' if s.final_direction == 'BUY' else 'red' if s.final_direction == 'SELL' else 'gray'
for s in signals]
ax3.bar(symbols, positions, color=colors, alpha=0.7)
ax3.set_xlabel('Symbol')
ax3.set_ylabel('Position Size (%)')
ax3.set_title('Recommended Position Sizes', fontsize=12, fontweight='bold')
ax3.grid(True, alpha=0.3)
# Signal scatter
ax4 = axes[1, 1]
for s in signals:
color = 'green' if s.final_direction == 'BUY' else 'red' if s.final_direction == 'SELL' else 'gray'
ax4.scatter(s.llm_signal, s.technical_signal, s=200, c=color, alpha=0.7,
label=f"{s.symbol} ({s.final_direction})")
ax4.axhline(y=0, color='black', linestyle='--', alpha=0.3)
ax4.axvline(x=0, color='black', linestyle='--', alpha=0.3)
ax4.set_xlabel('LLM Signal')
ax4.set_ylabel('Technical Signal')
ax4.set_title('Signal Agreement', fontsize=12, fontweight='bold')
ax4.set_xlim(-1.2, 1.2)
ax4.set_ylim(-1.2, 1.2)
ax4.legend()
ax4.grid(True, alpha=0.3)
plt.tight_layout()
plt.show()
# Generer quelques signaux de demonstration
demo_symbols = ['AAPL', 'MSFT', 'GOOGL', 'AMZN']
demo_signals = []
# Donnees simulees
demo_data = {
'AAPL': {'price': 185, 'sma_20': 182, 'sma_50': 178, 'rsi_14': 62, 'macd': {'histogram': 0.3}, 'volume_ratio': 1.2},
'MSFT': {'price': 380, 'sma_20': 385, 'sma_50': 375, 'rsi_14': 55, 'macd': {'histogram': -0.2}, 'volume_ratio': 0.9},
'GOOGL': {'price': 140, 'sma_20': 138, 'sma_50': 142, 'rsi_14': 48, 'macd': {'histogram': 0.1}, 'volume_ratio': 1.0},
'AMZN': {'price': 175, 'sma_20': 172, 'sma_50': 168, 'rsi_14': 72, 'macd': {'histogram': 0.5}, 'volume_ratio': 1.4},
}
demo_llm = {
'AAPL': (0.6, 0.75),
'MSFT': (0.2, 0.6),
'GOOGL': (-0.3, 0.55),
'AMZN': (0.5, 0.8),
}
for symbol in demo_symbols:
llm_sig, llm_conf = demo_llm[symbol]
signal = hybrid_system.generate_signal(
symbol=symbol,
llm_signal=llm_sig,
llm_confidence=llm_conf,
technical_data=demo_data[symbol]
)
demo_signals.append(signal)
visualize_hybrid_signals(demo_signals)
