Interactive Trade Logging System

Project Overview

This project focuses on building an interactive trade logging system designed to streamline the process of documenting and analyzing trades. The system automates trade data collection, organization, and performance tracking, empowering traders to optimize strategies based on recurring setups and results. By providing structured data storage and visualization capabilities, the tool enhances decision-making in live trading environments.

GitHub Repository

You can find the source code and project files on GitHub:

Objective

The objective of this trade logging program is to create a structured and automated solution for recording key trade details. The system is designed to analyze patterns, calculate performance metrics such as risk-to-reward ratios, and highlight the most profitable strategies. The program reduces manual errors and saves time for traders by offering real-time logging and reporting features.

Key Features

• Trade Entry and Tracking: Automatically logs details like entry technique, position size, stop-loss, and take-profit targets.
• Data Analysis: Calculates performance metrics including cumulative R, win/loss ratio, and average trade duration.
• Trade Categorization: Organizes trades by session, ticker, and trade rationale to enable pattern recognition.
• Spreadsheet Integration: Logs data to a spreadsheet for long-term tracking and further analysis.
• Error Handling: Includes validation for missing or incorrect data to ensure clean records.

Workflow

The trade logging system operates on a simple, yet efficient workflow:

1. Input Trade Data: Users provide details such as entry time, date, and market structure setup.
2. Log Validation: The program validates entries to prevent incomplete or incorrect data.
3. Data Export: Logs are exported to a spreadsheet, allowing for historical analysis and visualization.