> For the complete documentation index, see [llms.txt](https://ottodata.gitbook.io/ottodata-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ottodata.gitbook.io/ottodata-docs/concepts/whale-flows.md).

# Whale flows

## Whale flows

### What Otto tracks

Otto scans every ERC-20 `Transfer` log on Robinhood Chain for the **32 tracked stock tokens plus USDG**, keeps transfers above a USD threshold (currently $5,000, priced via Chainlink), and classifies each one:

| Direction  | Meaning                                                                                                                                          |
| ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------ |
| `mint`     | From the zero address — **new tokens issued**. For stock tokens this means tokenized supply increased (someone deposited shares / cash to mint). |
| `burn`     | To the zero address — **tokens redeemed**, supply decreased.                                                                                     |
| `transfer` | Wallet-to-wallet movement above the threshold.                                                                                                   |

```json
{
  "tx_hash": "0x33fbadee8f4b…",
  "ts": 1784189916,
  "ticker": "USDG",
  "from_addr": "0xd125e04f…",
  "to_addr": "0x52e65b17…",
  "amount": 23395.87,
  "amount_usd": 23395.87,
  "direction": "transfer"
}
```

### Why mints and burns matter most

Tokenized stock supply is elastic: authorized issuers mint when demand exceeds supply and burn on redemptions. Sustained net minting of a ticker is a direct, on-chain read of demand for that stock's tokenized form — visible hours before it shows up anywhere else.

The [flow summary](https://ottodata.gitbook.io/ottodata-docs/api-reference/flows) aggregates this per ticker: transfer counts, total USD volume, mint USD vs burn USD (net supply change), and the single largest transfer in the window.

### Reading the data

* Raw feed: [`GET /v1/flows`](https://ottodata.gitbook.io/ottodata-docs/api-reference/flows) — filter by ticker, direction, USD floor, time window
* Aggregates: [`GET /v1/flows/summary`](https://ottodata.gitbook.io/ottodata-docs/api-reference/flows)


---

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