Trade Journal presents a mixed bag of features that appeal to different types of traders. On one hand, the local storage model is appealing for privacy, and the analytics dashboard is quite detailed, allowing breakdowns by strategy and session. The AI integration is also a modern addition that could provide useful insights. However, since the platform is still in a state where many metrics show zero data until you start logging trades, it feels somewhat unfinished. The connection to Supabase is mentioned but not fully explained, which might concern some users. For someone considering this company, it seems like a solid tool for those who want control over their data, but the lack of pre-populated data or a more mature ecosystem might be a drawback for others. It is a promising start, but time will tell if it becomes a standard tool for serious traders.
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The local storage approach is great, and the AI analysis feature is a nice touch.
The service is highly efficient for privacy-conscious traders. Storing all journal data in IndexedDB means nothing leaves the machine, which is a strong advantage. The export options to CSV and JSON are comprehensive, ensuring I retain full ownership of my trading history without relying on external servers for basic functionality.
I am absolutely thrilled with the range of features available in Trade Journal! The ability to break down performance by pair, strategy, session, and even weekday is incredibly detailed. What stands out most is the AI Performance Analysis feature. It seems like a game-changer for anyone wanting to understand their edge. The interface is sleek, and the fact that I can export everything to CSV or JSON gives me total control over my data. The Playbook section helps me stick to my strategies, and the trading calendar heatmap looks promising once I start logging trades. It feels like a professional-grade tool that actually respects user privacy by keeping data in the browser. I can’t wait to dig deeper into the analytics and see how the AI helps me fix my mistakes!
I’ve been looking at Trade Journal for a while now, and while the dashboard looks clean, I noticed something odd. The text says the journal runs on local storage and nothing leaves your machine, yet it mentions connecting to a Supabase project. From the information available, it isn’t entirely clear how these two systems interact or if data syncs automatically. For someone considering this company, that distinction feels important. I would check the terms before booking to ensure your private trades stay exactly where you expect them to be, especially regarding the AI analysis features that do send data to OpenAI.
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Trade Journal is a web-based application for logging and tracking trading activity. Users can record individual trades with details such as direction, strategy, session, quantity, tags, and notes, and view a searchable, filterable list of their trades. The platform provides performance analytics, including weekly, monthly, and all-time profit and loss, win rate, average R:R, profit factor, expectancy, streaks, and largest wins and losses. It also includes breakdowns of performance by trading pair, strategy, session, and weekday, along with an AI-generated analysis feature for reviewing trading performance. Additional tools include a daily P/L calendar, customizable trading goals, and PDF export of analytics.
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