Where will Tariff documents a day be in seven days?
Where will Tariff documents a day be in seven days? DataSnack's model says 3.57 documents/day; it is 5 documents/day now. It has no graded forecasts yet; the first is graded on 20 Nov 2026.
The numbers
- Tariff documents a day now: 5 documents/day
- DataSnack's model, seven days from now: 3.57 documents/day
- Record: It has no graded forecasts yet; the first is graded on 20 Nov 2026.
- Replay on the last 60 days: off by 5.15 against 4.47 for standing still; closer on 24 of 60 days
- Fitted on 366 days of history
How the model works
Federal Register tariff mentions swing from day to day, and the scan shows a week's rise tends to reverse over the next week. The model starts from the latest value and applies that pull back.
- Each document per day of change over the past week is followed by a move of -0.286 of that size over the next week, a pull back toward the usual level. DataSnack's author expected -0.4; the data say -0.286 ± 0.086. A rough rule.
Sources
- Federal Register documents mentioning tariffs, per day: 5 documents/day on 12 Nov 2026
The record
It has no graded forecasts yet; the first is graded on 20 Nov 2026.
Waiting for their day:
- Made 13 Nov 2026 for 20 Nov 2026: 3.57 documents/day
Questions
What is DataSnack's forecast? DataSnack's model says 3.57 documents/day seven days from now.
How does the model work? It is an explicit equation fitted on data, with every link and source listed above. DataSnack's agents propose changes every night, and a replay against real data decides what is kept.
How accurate has it been? It has no graded forecasts yet; the first is graded on 20 Nov 2026. DataSnack's overall record is at https://datasnack.ai/accuracy.
Can I download the model? Readers who cover this model can export it as an Excel workbook with working formulas from its page. A free example workbook: https://datasnack.ai/site/labs/datasnack-tariff-mortgage-lab.xlsx.
Can I pull its numbers into a spreadsheet? Its feed is at https://datasnack.ai/feed/m/ch:ee7c2168398f.csv, with each forecast's error and standing still's beside it.
Canonical: https://datasnack.ai/m/ch:ee7c2168398f · DataSnack forecasts are analysis, not investment advice.