FINANCE

FX Drift Agent with Hedge Recommendation Brief

An agent monitors daily FX exposure drift across currencies, reasons about which breaches warrant action versus noise, drafts a recommended hedge action per currency.

CategoryFinance
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily morning schedule
  • ActionPull exposure, hedges, volatilitySnowflakeSnowflake
  • ActionFetch current FX ratesHTTP webhook
  • LogicAgent classifies drift, drafts recommendations
  • ActionFile dated hedge brief in NotionNotionNotion
  • OutputPost summary to Slack for sign-offSlack

What it does

This agent-driven workflow goes beyond flagging breaches: it interprets them. Each day it reviews per-currency exposure drift from Snowflake, weighs each breach against recent volatility and existing hedges, and produces a short recommendation (hedge now, watch, or hold) with rationale. It files the brief in Notion and posts a summary to Slack for treasury sign-off.

When to use it

Use it when raw threshold alerts create noise and you want a reasoned first-pass recommendation that a human approves rather than a wall of breaches. It compresses analyst triage while keeping the decision with treasury.

How it works

  1. 1A morning schedule starts the run.
  2. 2A Snowflake query returns exposure, hedge positions, and trailing volatility by currency.
  3. 3An HTTP webhook pulls current FX rates for revaluation.
  4. 4The agent reasons over each currency, classifying the drift and drafting a recommended action with rationale.
  5. 5A Notion page is created as the dated hedge-recommendation brief.
  6. 6A Slack summary links the brief and tags treasury for approval.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  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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