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Quanlio
The trading journal that shows why you win and lose
A crypto trading journal with execution grading, mistake tagging, confluence setups, performance analytics, and AI market context generated from public market data only.
About Quanlio on Product Hunt
“The trading journal that shows why you win and lose”
Quanlio was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #321 on the daily leaderboard. A crypto trading journal with execution grading, mistake tagging, confluence setups, performance analytics, and AI market context generated from public market data only.
On the analytics side, Quanlio competes within Fintech, Investing and Crypto — topics that collectively have 114.3k followers on Product Hunt. The dashboard above tracks how Quanlio performed against the three products that launched closest to it on the same day.
Who hunted Quanlio?
Quanlio was hunted by Ayoub Malik. 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.
For a complete overview of Quanlio including community comment highlights and product details, visit the product overview.
Hi Product Hunt, I'm the maker of Quanlio.
I built it because my own spreadsheet told me what I lost, never why. Quanlio imports closed trades from your exchange with a read-only API key (withdrawals off, checked on every sync), takes a CSV from another journal or broker, or lets you log any market by hand.
Then you grade each trade, tag the mistakes (moved stop, FOMO entry, oversized risk), and the analytics show what those mistakes actually cost against your own clean trades.
The part I use most: Insights puts a dollar figure on each mistake, measured against your own clean trades. Seeing "FOMO: -$873" changed how I trade more than any win rate did. You can also replay any closed trade bar by bar to see how it played out
The free tier is a full journal, not a demo, and sample trades are loaded so you can look around first. For launch, code FOUNDING gets Pro at $10/mo for as long as you stay subscribed (30 seats, ends 17 Nov).
I'd love blunt feedback, especially on which exchange or broker you want next.