"The title promises AI finding trades, but the video focuses on automating research, not trade discovery—still delivers solid value on the research automation front."
The video demonstrates how a trader uses Claude AI to automate morning research, transforming a 1-2 hour process into a 5-minute brief. The AI scans Gmail for reports, extracts key market data, and generates a custom HTML dashboard with ranked movers and watchlists.
Traders receive research and news from 10+ sources, leading to inbox overwhelm and inefficient morning prep.
Claude scans Gmail for reports, pulls macro tone, Fed positioning, overnight moves, and news catalysts.
AI writes code to update an HTML dashboard with a ranked list of top six movers, including catalysts, EPS beats, and key levels.
The dashboard includes a high-priority watchlist with gap percentages and ratings.
The process reduces research time from 1-2 hours to a 5-minute brief, providing a competitive edge.
Leveraging AI for automated research can significantly streamline a trader's morning routine, turning data overload into a concise, actionable brief.
What does the AI scan to gather market research?
The AI scans Gmail for big reports and news stories.
00:17
What data does the AI extract from the reports?
Macro tone, Fed positioning, overnight moves, and news catalysts.
00:17
What does the AI generate for the trader?
A custom HTML dashboard with a ranked list of top six movers and a high-priority watchlist.
00:32
How much time does the AI save in morning research?
It reduces a 1-2 hour process to a 5-minute brief.
01:03
Data Overload is a Trader's Nightmare
Highlights a common pain point that many traders face, making the solution relatable.
00:02AI as a Research Analyst
Demonstrates a practical application of AI in trading workflows.
00:175-Minute Brief vs. 2-Hour Research
Quantifies the efficiency gain, showing a clear competitive advantage.
01:03[00:00] This AI dashboard finds my top trades before the market even opens. If you're a serious trader, your inbox is a disaster every morning. Research and news from 10 or more different sources.
[00:13] I was tired of drowning in these emails, so I used Claw to build my own automated research analyst. Here's how it works. Every morning, the AI scans my Gmail for the big reports and news stories.
[00:26] It pulls the macro tone, fed positioning, and every overnight move and overnight news catalyst. All that good stuff. But it doesn't just give me a wall of text. It actually writes the code to update a custom HTML dashboard on my desktop.
[00:43] I have a rank list of the top six movers with their catalysts, EPS speeds, and the specific levels I need to watch. It even builds a high priority watch list with gap percentages and different ratings.
[00:56] Most traders fail their morning prep because they're overwhelmed by data. I'm using AI to turn a one-hour to two-hour research process into a five-minute brief. That is a serious edge that we continue to discuss every week in our Inside Access meetings.
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