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refactor: Convert numpy float64 values to Python floats in position calculation

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Bobby Abellana (aider) 2025-02-06 22:55:12 -08:00
parent d1a48dfb25
commit 6ca78eb83f
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1 changed files with 8 additions and 7 deletions
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15
src/trading/position_calculator.py
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@ -24,13 +24,13 @@ class PositionCalculator:
dict: Position details including shares and dollar amounts
"""
# Calculate stop loss price (6% below entry)
stop_loss = entry_price * (1 - self.stop_loss_percentage)
stop_loss = float(entry_price * (1 - self.stop_loss_percentage))
# Calculate risk amount in dollars
risk_amount = self.account_size * self.risk_percentage
risk_amount = float(self.account_size * self.risk_percentage)
# Calculate per-share risk
risk_per_share = abs(entry_price - stop_loss)
risk_per_share = float(abs(entry_price - stop_loss))
if risk_per_share == 0:
raise ValueError("Entry price cannot equal stop loss price")
@ -39,7 +39,7 @@ class PositionCalculator:
shares = int(risk_amount / risk_per_share)
# Calculate total position value
position_value = shares * entry_price
position_value = float(shares * entry_price)
result = {
"shares": shares,
@ -47,15 +47,16 @@ class PositionCalculator:
"risk_amount": risk_amount,
"risk_per_share": risk_per_share,
"stop_loss": stop_loss,
"potential_loss": shares * (stop_loss - entry_price)
"potential_loss": float(shares * (stop_loss - entry_price))
}
# Add target price calculations if provided
if target_price:
target_price = float(target_price)
result.update({
"target_price": target_price,
"potential_profit": shares * (target_price - entry_price),
"risk_reward_ratio": abs((target_price - entry_price) / (entry_price - stop_loss))
"potential_profit": float(shares * (target_price - entry_price)),
"risk_reward_ratio": float(abs((target_price - entry_price) / (entry_price - stop_loss)))
})
return result