MQL5.comでのフリーランスサービス: Trading paradise

説明

指定

# Import necessary libraries

import pandas as pd

# Define parameters

stop_loss_percentage = 0.02 # Set stop loss percentage (2% in this example)

take_profit_percentage = 0.05 # Set take profit percentage (5% in this example)

# Read historical price data

df = pd.read_csv("historical_data.csv") # Replace with your historical data file or API integration

# Calculate moving averages

df['SMA_50'] = df['Close'].rolling(window=50).mean()

df['SMA_200'] = df['Close'].rolling(window=200).mean()

# Initialize variables

position = None

entry_price = 0.0

# Start trading loop

for i in range(200, len(df)):

current_price = df['Close'].iloc[i]

# Check for entry conditions

if position is None and df['SMA_50'].iloc[i] > df['SMA_200'].iloc[i]:

position = 'long'

entry_price = current_price

print(f"Enter long position at {entry_price}")

elif position is None and df['SMA_50'].iloc[i] < df['SMA_200'].iloc[i]:

position = 'short'

entry_price = current_price

print(f"Enter short position at {entry_price}")

# Check for exit conditions

if position == 'long' and current_price >= (1 + take_profit_percentage) * entry_price:

position = None

exit_price = current_price

print(f"Exit long position at {exit_price}")

profit = exit_price - entry_price

print(f"Profit: {profit}")

elif position == 'long' and current_price <= (1 - stop_loss_percentage) * entry_price:

position = None

exit_price = current_price

print(f"Exit long position at {exit_price}")

loss = exit_price - entry_price

print(f"Loss: {loss}")

elif position == 'short' and current_price <= (1 - take_profit_percentage) * entry_price:

position = None

exit_price = current_price

print(f"Exit short position at {exit_price}")

profit = entry_price - exit_price

print(f"Profit: {profit}")

elif position == 'short' and current_price >= (1 + stop_loss_percentage) * entry_price:

position = None

exit_price = current_price

print(f"Exit short position at {exit_price}")

loss = entry_price - exit_price

print(f"Loss: {loss}")

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