Why Your Weekly Economic Tracking Is Probably Broken

Most people who try to build a weekly check-in routine for economic data either burn out after three weeks or end up with a spreadsheet so bloated they never actually use it. I spent about two years building and iterating through different versions before landing on something that actually stuck. What I ended up with is what people now call the Economics Checklist Weekly framework, and it works because it is deliberately small.

The Economics Checklist Weekly

At its core, this is a structured set of about 8 to 12 indicators you review every Friday afternoon. That is it. Not 40 indicators. Not every release from every central bank. The actual list covers things like the Atlanta Fed GDPNow estimate, the S&P Global composite PMI flash, the Treasury yield curve spread (10-year minus 3-month), weekly initial jobless claims, the dollar index, and 2 or 3 sector-specific signals that are relevant to whatever you are tracking. The list is not complicated. What makes it work is the consistency and the fact that you only look at changes, not absolute levels. I used to include things like consumer confidence surveys and retail sales releases. I dropped both after the second quarter of last year because they moved too late and added noise without predictive value. That cut my weekly review time from about 90 minutes down to roughly 20.

How to Actually Run It

Here is the part most people skip. You need a single source of truth for each indicator. I keep a Google Sheet with columns for date, current value, prior value, consensus estimate, and a simple directional tag: higher than expected, lower than expected, or in line. The tags matter more than the numbers themselves because they force you to make a judgment call instead of staring at raw data. Every Friday, you pull the latest readings from the Federal Reserve Economic Data portal, FRED, Bloomberg, or whatever terminal you have access to, and you fill in the sheet. Then you spend 15 minutes comparing the directional tags across the whole set. If more than half are moving in the same direction, that is your signal. If they are scattered, you sit on your hands. One thing that trips people up: the Atlanta Fed GDPNow model updates throughout the week, not just on release day. If you only check it on Friday, you will miss revisions that happened mid-week. I built a simple alert that pings me whenever GDPNow moves by more than 0.3 percentage points in a single update. That has saved me from making decisions based on stale numbers more times than I can count.

Where This Framework Falls Apart

It does not work well during structural breaks. The 2020 pandemic pivot made every single indicator in my list useless for about six weeks because the normal relationships between them collapsed. Real-time estimates became garbage. PMI data reflected closed factories, not underlying demand. Yield curves flattened in ways that had nothing to do with growth expectations and everything to do with emergency policy. If you are trying to run this checklist through a crisis where the baseline assumptions no longer hold, it gives you false confidence that your dashboard is giving you clarity. It is not. During those periods, I switched to a simpler approach: just track one or two leading indicators and ignore the rest until things normalize. There is also the problem of data lag. Initial jobless claims come out Thursday morning, but the deeper narratives take weeks to surface. You might see claims dropping for three weeks straight and assume the labor market is healing when what is actually happening is a temporary seasonal adjustment that reverses in April. I learned that the hard way in spring 2023. I had been betting on a soft landing based on my checklist signals for about five weeks. The economy did not collapse, but it also did not land softly. I was early and slightly wrong, which is the same as being wrong in trading terms.

A Few Things Beginners Miss

First, do not treat each indicator as independent. The whole point of the checklist is the cross-signal. If GDPNow is accelerating but the yield curve is still steepening, those two are sending conflicting messages and the right move is usually to wait. Second, keep a running log of when your checklist predicted something correctly and when it did not. I maintain a simple win-loss record in the same sheet. After six months of this, I stopped second-guessing the framework and started understanding its blind spots. Third, the checklist is not a forecasting machine. It is a positioning tool. It tells you whether the environment is broadly consistent with risk-on, risk-off, or something in between. It does not tell you exactly what will happen next week.

Where to Get the Template

I share the current version of the checklist template on the Economics Checklist Weekly page on my site. It includes the standard indicator list, the tagging system, and a basic scoring mechanism that turns your directional tags into a single composite reading. There is also a second tab for tracking prediction accuracy over time, which is where most of the actual learning happens. The file is a Google Sheets template, so you can copy it and customize it without worrying about breaking someone else's work.