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feat: Enhance signal output with detailed position sizing and profit metrics

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Bobby Abellana (aider) 2025-02-06 22:50:55 -08:00
parent c248fd05df
commit 48745fbd34
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1 changed files with 16 additions and 0 deletions
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16
src/screener/t_sunnyband.py
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@ -414,6 +414,22 @@ def run_sunny_scanner(min_price: float, max_price: float, min_volume: int, portf
print(f"Entry Price: ${signal['price']:.2f}")
print(f"Volume: {signal['volume']:,}")
print(f"Target (Upper Band): ${signal['upper_band']:.2f}")
if 'shares' in signal:
print("\nPosition Details:")
print(f"Shares: {signal['shares']}")
print(f"Position Value: ${float(signal['position_value']):.2f}")
print(f"Stop Loss: ${float(signal['stop_loss']):.2f}")
print(f"Risk Amount: ${abs(float(signal['potential_loss'])):.2f}")
# Calculate percentages
entry_value = signal['price'] * signal['shares']
profit_potential = float(signal['potential_profit'])
profit_percentage = (profit_potential / entry_value) * 100
print(f"Target Price: ${float(signal['target_price']):.2f}")
print(f"Potential Profit: ${profit_potential:.2f} ({profit_percentage:.1f}%)")
print(f"Risk/Reward Ratio: ${float(signal['risk_reward_ratio']):.2f}")
if 'shares' in signal:
# Convert numpy float64 to regular float if needed