FINANCE

FX Rate-Move Rebalance Trigger

Receives intraday FX rate ticks via webhook, recomputes mark-to-market exposure on open receivables from Snowflake.

CategoryFinance
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives intraday FX rate tickHTTP webhook
  • ActionFetch open receivables for affected pairSnowflakeSnowflake
  • LogicRe-mark exposure and test against hedge band
  • ActionBuild rebalance recommendation
  • OutputAlert desk in SlackSlack
  • OutputLog event to Notion exposure registerNotionNotion

What it does

This workflow listens for intraday FX rate updates pushed to a webhook by your market-data feed. On each tick it re-marks open receivables held in Snowflake at the new rate, recalculates unhedged exposure per pair, and checks whether the rate move has pushed any position outside its hedge band. Breaches generate a rebalance recommendation posted to Slack and logged to a Notion exposure register.

When to use it

Use this when receivables are large enough that an intraday rate swing, not just overnight drift, can blow through a hedge band. It turns a passive daily check into a reactive monitor that responds the moment the market moves against you.

How it works

  1. 1A webhook receives an FX rate tick from the market-data provider.
  2. 2Snowflake returns current open receivables for the affected pair.
  3. 3A logic step re-marks exposure at the new rate and tests it against the hedge band.
  4. 4Within-band ticks are dropped to avoid noise.
  5. 5A breach builds a rebalance recommendation with target hedge size.
  6. 6Slack alerts the desk and Notion appends the event to the exposure register.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect SnowflakeWarehouses, queries, shares.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect NotionPages, databases, comments.
  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.

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