Predictoor: Q & A on Traction Stats

Ocean Predictoor has promising stats. What do they mean?

Trent McConaghy
Ocean Protocol

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Introduction

In Ocean Predictoor, people run AI-powered prediction bots or trading bots on crypto price feeds to earn $.

Ocean Protocol recently tweeted some promising numbers on Predictoor traction. This led to Q’s from the community. This blog post answers those Q’s.

This post is organized as follows:

  • Reference: key sources of data
  • Recent tweets on Predictoor traction
  • Background: focus of Ocean Predictoor / DF team
  • The Q & A itself
  • Conclusion

Reference: Key Sources of Data

I refer to these below. You can also use them yourself.

Ocean docs help too:

Recent Tweets on Predictoor Traction

Ocean Protocol had three recent tweets with promising traction statistics. Here they are.

The first tweet highlights data from DappRadar’s new “Ocean Predictoor” page.

The second tweet shows data from AutoBot Ocean’s new “Predictoor” page:

The final tweet highlights data from Autobot Ocean “Volumes” page.

From these tweets, the community had excellent questions. We will answer them below. But first, one a backgrounder to provide context.

Background: Focus of Ocean Predictoor / DF Team

The main goal of the Ocean Predictoor / DF team right now is: make it easy & obvious to earn $ as a trader, using Predictoor.

  • Once it happens, there will be strong organic demand for the feeds, which in turn drives sales, which in turn drives predictoor income
  • This also means we’re spending less time on other potential things: detailed blogs, AMAs, webapp, analytics. Focus focus.
  • In short, $ success for traders will drive success everywhere else.

Questions & Answers

Here are the Q’s, along with our A’s. Some answers won’t have full detail; that’s because we’re focusing on the “make it easy to make $”. Success there will drive the rest.

How is a transaction counted?

We submitted a list of smart contract addresses to dappradar.com. Whenever one of those has a tx against it, it’s counted.

The addresses we submitted are: the Ocean datatoken contracts for each of the 20 prediction feeds, plus a couple more.

Are the Ocean predictoor ‘farming’ rewards part of the transactions if so how much do they account for?

Payout of Predictoor Data Farming rewards is a small fraction of txs. However the $ incentive is likely a key driver for near-term traction.

If you’re a predictoor submitting prediction transactions, you can make $ via:

  1. Organic sales
  2. Sales from Predictoor Data Farming rewards
  3. Others’ stake slashed when they are wrong.

Of these:

  • (3) evens out to about zero if your accuracy is about the same as others, and your stake doesn’t exceed your cut of expected sales.
  • (2) is currently the biggest amount. We expect this in the early days, as it’s kickstarting the usage. (How to see: Compare “Autobot: Volumes” for all $ sales, to DF $ budget in Predictoor DF docs)
  • (1) will ultimately be the biggest amount by far, once it becomes easy & obvious to earn $ as a trader.

“AutoBot: Volumes” page shows volumes for each feed.

How many unique addresses are paying for feeds?

We haven’t computed analytics for that yet. You *could* query the subgraph for yourself, see link above.

Are there return users?

For predictoors: Yes. In fact, it seems to be a high % predictoors returning, ie low churn. See

For traders: We haven’t computed analytics for that yet. What will really make a difference is traders easily & obviously earning $; hence our focus on that.

Is the overall number of users increasing?

Yes. See “DappRadar : Predictoor” page, the “UAW” line on the plot. UAW = Unique Active Wallets.

> How much revenue are these transactions giving to the Ocean Protocol?

Fees details: (from Predictoor docs)
- 0.1% community swap fee
- 20% to Ocean Protocol Foundation. (Will be used to further drive Predictoor, and to burn OCEAN.)

What numbers would need to be met before another say 100 price feeds are added to predictoor (1, 15, 30 min feeds), more token pairs including Ocean (helping increase Ocean volume) etc.

As mentioned above, we see that the biggest driver of traction will be traders making $. Our focus is to make that easy & obvious. As part of our work, we are exploring other trading venues & pairs. We’re also professionalizing our internal data engineering pipeline, and starting to build an analytics app inspired by my previous work on Computer-Aided Design. All of this is already open-source; you can track our progress in GitHub.

Once “making $” is established, then we will scale up accordingly. Way more defi feeds; then beyond to other verticals taking us to 10K+ feeds; AI DAOs; then building large-scale AIs across those 10K+ feeds. One thing will lead to another.

Summary

Some recent Ocean tweets have shared some promising traction numbers for Ocean Predictoor, via data on DappRadar and Autobot Ocean. That’s great news! It’s the sign of a growing ecosystem of predictoors and traders.

To really take this to the next level, the Ocean Predictoor / DF team is working to make it easy & obvious to earn $ as a trader, using Predictoor. Success there will drive success & growth everywhere else.

2024 will be a big year for Ocean:)

To get started predicting or trading, go to predictoor.ai now.

Final Note

None of the content in this post should be taken as financial advice. Everything you do is your responsibility, at your discretion.

Updates

[Dec 20, 2023] When we published this on Dec 19, 2023, the volume measure was showing as zero, which was incorrect. We took steps with DappRadar to fix it. It’s now fixed! We’ve updated the plots accordingly.

About Predictoor & Ocean Protocol

In Ocean Predictoor, people run AI-powered prediction bots or trading bots on crypto price feeds to earn $. Follow Predictoor on Twitter, and get support in discord. Track progress on GitHub at pdr-backend and more. Predictoor runs on Oasis Sapphire confidential EVM chain.

Predictoor is powered by Ocean Protocol, which provides tools to privately & securely publish, exchange, and consume data. Follow Ocean on Twitter or Telegram.

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