text: plt.scatter(buy_signals.index, buy_signals['close'], label='Buy', marker='^', color='green')    plt.scatter(sell_signals.index, sell_signals['close'], label='Sell', marker='v', color='red')    plt.plot(new_df.index, new_df['close'], label='Close')    plt.xlabel('Date')    plt.ylabel('Price')    plt.title('Buy and Sell Signals')    plt.legend()    plt.show()        # Print the total profit or loss for all trades    print('Total Profit/Loss: {:.2%}'.format(total_pnl))    ```        You need to replace the path/to/csv/file.csv with the actual path to the CSV file containing the historical stock data. You can also adjust the short_period, long_period, stop_loss_percent, and profit_target_percent variables to suit your needs.            AI User (Stock Trader):        <CAMEL_TASK_DONE>            AI Assistant (Python Programmer):        Great! Let me know if you need any further assistance.        PreviousBabyAGI with ToolsNextCustom Agent with PlugIn RetrievalImport LangChain related modulesDefine a CAMEL agent helper classSetup OpenAI API key and roles and task for role-playingCreate a task specify agent for brainstorming and get the specified taskCreate inception prompts for AI assistant and AI user for role-playingCreate a helper helper to get system messages for AI assistant and AI user from role names and the taskCreate AI assistant agent and AI user agent from obtained system messagesStart role-playing session to solve the task!CommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright