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Tweak: move 'how is Predictoor different' lower down. It's less important to potential users than the other questions

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trentmc 2023-10-10 09:58:34 +02:00
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@ -15,49 +15,6 @@ You can start by playing with [predictoor.ai](https://predictoor.ai), then click
</details> </details>
### How is Predictoor different
<details>
<summary>How does Predictoor compare to prediction markets? Like Predictoor, they use $ for accountability.</summary>
Prediction markets are for one-off predictions like “will Biden win in 2024?” whereas Predictoor-style prediction feeds are for a continuous stream of predictions.
</details>
<details>
<summary>How does Predictoor compare to Chainlink? Like Predictoor, it has price feeds on-chain.</summary>
Chainlink provides current prices on-chain, and Predictoor makes predictions for prices in the future.
</details>
<details>
<summary>How does Predictoor compare to Numerai? Like Predictoor, it crowd-sources predictions, related to trading.</summary>
They are different:
- Numerai takes predictions, then aggregates them and uses them to trade directly. It operates as a hedge fund.
- Whereas Predictoor takes predictions, then aggregates them and sells the aggregate. It operates as data feeds.
Secondary differences:
- Numerai focus is tradfi trading, as a hedge fund.
- Whereas Predictoor is pure datafeeds, and applies to any vertical. Its first use case is defi trading.
- Currently Numerai is mostly centralized.
- Whereas Predictoor is decentralized. Predictoor tech may be useful to Numerai to help decentralize
</details>
<details>
<summary>How does Predictoor compare to Numerai Signals? People supplying to Numerai Signals dont get paid out from trading (like the main Numerai product).</summary>
In Numerai Signals, payout is a function of the submitters “originality” compared to other signals. These signals are used as inputs for prediction models in Numerai main product.
Whereas in Predictoor, payout is a function of the the accuracy of the submitters prediction, compared to the true value. These signals are predictions, directly.
</details>
### For Predictoors ### For Predictoors
<details> <details>
@ -130,6 +87,51 @@ Starting Nov 9, 2023 via "Predictoor Data Farming", there is 37000 OCEAN (about
</details> </details>
### How is Predictoor different
<details>
<summary>How does Predictoor compare to prediction markets? Like Predictoor, they use $ for accountability.</summary>
Prediction markets are for one-off predictions like “will Biden win in 2024?” whereas Predictoor-style prediction feeds are for a continuous stream of predictions.
</details>
<details>
<summary>How does Predictoor compare to Chainlink? Like Predictoor, it has price feeds on-chain.</summary>
Chainlink provides current prices on-chain, and Predictoor makes predictions for prices in the future.
</details>
<details>
<summary>How does Predictoor compare to Numerai? Like Predictoor, it crowd-sources predictions, related to trading.</summary>
They are different:
- Numerai takes predictions, then aggregates them and uses them to trade directly. It operates as a hedge fund.
- Whereas Predictoor takes predictions, then aggregates them and sells the aggregate. It operates as data feeds.
Secondary differences:
- Numerai focus is tradfi trading, as a hedge fund.
- Whereas Predictoor is pure datafeeds, and applies to any vertical. Its first use case is defi trading.
- Currently Numerai is mostly centralized.
- Whereas Predictoor is decentralized. Predictoor tech may be useful to Numerai to help decentralize
</details>
<details>
<summary>How does Predictoor compare to Numerai Signals? People supplying to Numerai Signals dont get paid out from trading (like the main Numerai product).</summary>
In Numerai Signals, payout is a function of the submitters “originality” compared to other signals. These signals are used as inputs for prediction models in Numerai main product.
Whereas in Predictoor, payout is a function of the the accuracy of the submitters prediction, compared to the true value. These signals are predictions, directly.
</details>
### Networks ### Networks
<details> <details>