📈 Trading Journal
A trading analytics platform built to track trades, measure performance, manage risk, and improve decision making.
V7 🚀
Current Version
V7.1
Next Improvement
Python
Main Language
Flask
Framework
Overview
Trading Journal is a desktop web application designed to help traders improve consistency, measure performance, and make data-driven decisions. The platform combines trade tracking, risk management, performance analytics, screenshots, and visual reporting into a single workflow.
Latest Release: V7
Trading Journal V7 introduced major improvements including user login, PostgreSQL-ready configuration, backup and restore planning, watchlist to trade conversion, sorting, pagination, and improved UI behavior.
Product Screenshots
Below are screenshots from the current Trading Journal application.
📊 Performance Dashboard
Comprehensive dashboard with account balance, P/L, win rate, profit factor, drawdown, equity curve, and win/loss analysis.
📋 Trade Management
Trade entry and management system with strategy tracking, position type, risk calculations, screenshots, notes, filtering, and export support.
🗓 Monthly Performance Calendar
Calendar view showing daily trading activity, profitability, and number of trades for each trading day.
Key Capabilities
📋 Trade Recording
Record trade details, strategy, position, result, and notes.
⚠️ Risk Management
Track stop loss, take profit, max loss, and risk/reward preview.
📊 Analytics Dashboard
Review balance, P/L, win rate, loss rate, profit factor, and drawdown.
📈 Equity Curve
Visualize account growth and drawdowns over time.
📸 Screenshot Review
Attach before and after screenshots for better trade review.
🗓 Performance Calendar
Review daily performance and trading activity month by month.
Technology Stack
Roadmap
- ✅ Trade Management
- ✅ Risk Tracking
- ✅ Trade Screenshots
- ✅ Performance Dashboard
- ✅ Equity Curve
- ✅ Monthly Calendar
- 🚀 Advanced Strategy Analytics
- 🚀 Trading Insights Engine
- 🚀 Enhanced Reports
- 🚀 Better UI/UX
- 🚀 Public Demo Version
Project Evolution
Trading Journal has evolved through multiple iterations, with each version introducing improvements based on real trading experience and daily usage.
Lessons Learned
Building this application has helped me improve my understanding of software design, backend development, data modeling, analytics, visualization, user experience, and iterative product development. Each version improves both the software and the trading review process.