FINANCE
Daily FX Exposure Snapshot Archive to R2
Snapshots the full per-currency unhedged exposure table from BigQuery each day, writes a timestamped CSV to Cloudflare R2, and confirms the archive in Slack for audit retention.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule after book settlement
- ActionExport per-currency exposure table from BigQueryBigQuery
- LogicFormat snapshot as dated CSV
- ActionUpload snapshot to R2 archive bucketCloudflare R2
- OutputConfirm archive landed in SlackSlack
What it does
It captures a complete daily picture of FX exposure as an immutable file, building the historical record that drift comparisons and audits depend on.
When to use it
When you need a defensible, point-in-time archive of currency exposure for compliance, audit, or to feed downstream models — separate from any alerting logic.
How it works
- 1A daily schedule runs after the books settle for the day.
- 2A BigQuery action exports the full per-currency exposure table, including hedged, unhedged, and total amounts.
- 3A logic step formats the result into a CSV named with the snapshot date.
- 4An R2 action uploads the file to a write-once archive bucket.
- 5A Slack message confirms the archive path and row count so the team knows the daily snapshot landed.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect Cloudflare R2Object storage, S3-compatible.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.