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Chronicle Trading Journal

Build Evidence, Trade with Confidence

Fintech
Analytics
Investing
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Hunted byChronicle TradingChronicle Trading

Chronicle combines historical backtesting, chart replay, trade journaling, and performance analytics in one Windows app. Automatically capture charts across multiple timeframes and save them alongside your trades and notes. AI Coach helps you review trades, compare decisions, and reflect on patterns using your trading history and selected chart evidence. Your journal and screenshots stay on your computer, with selected evidence sent for AI analysis when requested.

Top comment

Hi everyone! I’m the creator of Chronicle Trading, and this started as a side project for my own trading journey. I had zero coding knowledge. At first, I asked Claude to help me build an Excel trading journal inspired by the journaling approach shared by trader and YouTuber Rone Trades. But the spreadsheet didn’t feel right for what I needed. I wanted somewhere I could save screenshots, record my trade ideas, and capture what I was thinking and feeling during each trade. After a lot of questions and experiments, that spreadsheet idea became a simple HTML file. That little file was the beginning of Chronicle. Over more than two months, it grew into an app with trade journaling, historical backtesting, chart replay, automatic screenshots, analytics, and AI Coach. As I used it and kept building, the goal became clearer: help traders preserve their decisions and learn from them over time. I know how frustrating it feels to work toward consistency and still repeat the same mistakes. Sometimes, what we need is a clearer view of our own behavior: Which setups do we follow well? When do we break our rules? What conditions suit our strategy? How do our emotions affect our decisions? That’s what I want Chronicle to help you explore. I believe a useful journal should help you understand what to improve, with enough context to see patterns as your trading history grows. My approach is to build evidence through practice and review before risking money in the market. Backtesting cannot guarantee future results, but it can help you understand your system and make more informed decisions. Chronicle was built by a trader who is still learning and understands the struggle firsthand. I’m sharing it because I hope it can be useful to others on the same journey. I’d love to hear your feedback: What’s the hardest part of keeping a trading journal—and what would make you stick with it?

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About Chronicle Trading Journal on Product Hunt

“Build Evidence, Trade with Confidence”

Chronicle Trading Journal was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #388 on the daily leaderboard. Chronicle combines historical backtesting, chart replay, trade journaling, and performance analytics in one Windows app. Automatically capture charts across multiple timeframes and save them alongside your trades and notes. AI Coach helps you review trades, compare decisions, and reflect on patterns using your trading history and selected chart evidence. Your journal and screenshots stay on your computer, with selected evidence sent for AI analysis when requested.

Chronicle Trading Journal was featured in Fintech (47.7k followers), Analytics (174.2k followers) and Investing (26.8k followers) on Product Hunt. Together, these topics include over 47.4k products, making this a competitive space to launch in.

Who hunted Chronicle Trading Journal?

Chronicle Trading Journal was hunted by Chronicle Trading. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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