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| apys.md | ||
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| claim-rewards.md | ||
| faq.md | ||
| ocean-reward-schedule.md | ||
| predictoordf.md | ||
| README.md | ||
| veocean-passivedf.md | ||
| volumedf.md | ||
| description | cover | coverY |
|---|---|---|
| Earn OCEAN rewards by locking OCEAN, curating data, and making predictions. | ../.gitbook/assets/cover/data_farming_banner.png | 0 |
What is Data Farming?
Data Farming (DF) is Ocean's incentive program. It rewards OCEAN to participants who lock OCEAN into veOCEAN, curate data, and make predictions -- all in the name of driving data consume volume (DCV).
DF is like DeFi liquidity mining, but tuned for DCV.
Users do most DF actions via the DF Webapp.
There is 150,000 OCEAN / week available for DF rewards. In time, this will increase to over 1.1M OCEAN / week. Here are details.
DF Streams & Budgets
DF's main streams are Passive DF and Active DF. The former allows for passive earning potential, and the latter requires more engagement. Each has 50% of the DF budget.
Here are the streams and substreams. The links lead to dedicated pages.
- Passive DF. 75,000 OCEAN per week. Lock OCEAN for veOCEAN; rewards are pro-rata to veOCEAN holdings.
- Active DF. 75,000 OCEAN per week. It has these substreams:
- Volume DF. Allocate veOCEAN towards data assets with high DCV, ie "curate data". Rewards are a function of DCV and veOCEAN stake.
- Challenge DF. Predict future ETH price, one-time weekly. Rewards are a function of accuracy. Runs from DF48 — DF65.
- Predictoor DF. Run prediction bots to earn continuously. Starts on DF62.
All streams and substreams repeat on a weekly basis that start on Thursdays 00:00 at UTC and end on Wed at 23:59 UTC.
Claiming rewards. You can claim rewards each Thursday, or wait and claim many weeks' of rewards at once.
Yields. Typical reward APYs are 5–20%, but may be as high as 45% and as low as 1%. APYs will vary week to week. APY depends on total OCEAN staked, duration of OCEAN lock, DCV, what DF streams you participate in, and other factors. Learn more here.
Active DF's substreams can -- and do -- evolve over time. It's chronicled here.
Further resources
- The DF FAQ answers more questions.
- Main DF github repos: df-py (backend), df-web (frontend)
- The Ocean Data Farming Series blog has a chronological account of all Data Farming activities since its inception. It links to related blog posts.