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Datrade
Trading journal with market context for every stock trade
Datrade is a quant-based trading journal for active U.S. stock traders. It enriches every execution with 10,000+ values describing the market context at the exact time of each trade, then lets you filter, compare, and visualize your history to see what separated your winners from your losers. Go beyond P&L and basic stats with additional context like distance from VWAP, technical indicators, liquidity, SSR, halts, and company data.
Hey Product Hunt 👋 I’m Arthur, founder of Datrade.
I built Datrade around a problem we kept running into at my trading desk: broker reports and most trading journals tell you what you did, but not what the market was doing when you did it.
Whether you trade discretionary or systematic strategies, new questions always come up later. How did my trades perform when I was 2% above VWAP? When SSR was on? Under certain liquidity or volatility conditions? If you didn’t track that data at the time, answering those questions usually means going back through months or years of trades and rebuilding the context manually.
We used to do exactly that. Every time we wanted to test another indicator or market condition, someone on the team had to collect more data and rebuild the dataset. Over time, we realized that every trade contains a huge amount of useful context that traders normally never capture. Sometimes we found that a large share of our losses happened under a specific market condition we hadn’t paid much attention to before.
So we built Datrade to do that work automatically. It matches each execution with historical market data and enriches it with 10,000+ values from the exact time of the trade. You can then filter, compare, and visualize your history whenever a new question comes up — without having to collect the data first.
We’re still early, and I’m mainly here to meet other traders and builders and get feedback.
If you trade U.S. stocks, what market condition have you always wished you could analyze across your entire trading history?
Happy to answer anything 👋
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About Datrade on Product Hunt
“Trading journal with market context for every stock trade”
Datrade was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #149 on the daily leaderboard. Datrade is a quant-based trading journal for active U.S. stock traders. It enriches every execution with 10,000+ values describing the market context at the exact time of each trade, then lets you filter, compare, and visualize your history to see what separated your winners from your losers. Go beyond P&L and basic stats with additional context like distance from VWAP, technical indicators, liquidity, SSR, halts, and company data.
Datrade was featured in Fintech (47.4k followers), Analytics (173.5k followers) and Investing (26.7k followers) on Product Hunt. Together, these topics include over 43.9k products, making this a competitive space to launch in.
Who hunted Datrade?
Datrade was hunted by Arthur Salzberg. 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.
Want to see how Datrade stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Arthur Salzberg