FINANCE

FX Rebalance Playbook Agent

An agent that gathers Snowflake exposure data, researches current rate context, drafts a per-currency rebalance plan with rationale, posts it to Notion for approval.

CategoryFinance
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule before weekly hedging window
  • ActionQuery exposure and active hedgesSnowflakeSnowflake
  • ActionGather rate and volatility contextExa
  • LogicReason over gaps and draft rebalance plan
  • OutputPublish approval-ready plan to NotionNotionNotion
  • OutputNotify treasury in SlackSlack

What it does

This agent-driven workflow runs the full rebalance reasoning pass, not just a threshold check. It pulls net exposure and existing hedges from Snowflake, gathers current rate and volatility context, then drafts a per-currency rebalance plan: which pairs to hedge, suggested notionals, and the reasoning behind each call. The plan lands in Notion as an approval-ready document and treasury is pinged in Slack.

When to use it

Use this when you want a reasoned recommendation, not a raw alert, ahead of a hedging decision. It is the right fit for teams that want the workflow to draft the proposal and a human to approve it, rather than acting purely on numeric triggers.

How it works

  1. 1A schedule fires before the weekly hedging window.
  2. 2The agent queries Snowflake for net exposure and active hedges.
  3. 3It gathers current rate and volatility context for the relevant pairs.
  4. 4It reasons over coverage gaps and drafts a per-currency rebalance plan with rationale.
  5. 5Notion receives the plan as an approval-ready document.
  6. 6Slack notifies treasury that the plan is ready for review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect NotionPages, databases, comments.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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