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The Delphi Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Delphi Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Rossen Yordanov: Azuro’s Role in the Future of Prediction Markets

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The Delphi Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Delphi Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Rossen Yardanov, a core contributor to Azuro protocol, discusses the challenges and potential of prediction markets in the crypto space. He explains why prediction markets haven't taken off in the past and how Azuro is addressing these issues. Azuro is focused on making passive liquidity work in prediction markets, allowing anyone to play the role of the house and counter bets. They are also working on decentralizing the Oracle solution and improving dispute resolution. Azuro aims to be a middleware protocol that connects to any chain and provides tooling for builders to create prediction market applications easily. They are planning to launch their token and further decentralize governance in the future.

Rossen's Twitter - https://x.com/RossToTheFuture Yan's Twitter - https://x.com/yanliberman

Chapters

00:00 Introduction and Background

05:44 Challenges of Liquidity in Prediction Markets

13:19 Addressing Dispute Resolution in Prediction Markets

29:20 Token Launch and Future Plans

Disclosures

This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token.

  continue reading

451 에피소드

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icon공유
 
Manage episode 424127342 series 2478788
The Delphi Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Delphi Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Rossen Yardanov, a core contributor to Azuro protocol, discusses the challenges and potential of prediction markets in the crypto space. He explains why prediction markets haven't taken off in the past and how Azuro is addressing these issues. Azuro is focused on making passive liquidity work in prediction markets, allowing anyone to play the role of the house and counter bets. They are also working on decentralizing the Oracle solution and improving dispute resolution. Azuro aims to be a middleware protocol that connects to any chain and provides tooling for builders to create prediction market applications easily. They are planning to launch their token and further decentralize governance in the future.

Rossen's Twitter - https://x.com/RossToTheFuture Yan's Twitter - https://x.com/yanliberman

Chapters

00:00 Introduction and Background

05:44 Challenges of Liquidity in Prediction Markets

13:19 Addressing Dispute Resolution in Prediction Markets

29:20 Token Launch and Future Plans

Disclosures

This podcast is strictly informational and educational and is not investment advice or a solicitation to buy or sell any tokens or securities or to make any financial decisions. Do not trade or invest in any project, tokens, or securities based upon this podcast episode. The host and members at Delphi Ventures may personally own tokens or art that are mentioned on the podcast. Our current show features paid sponsorships which may be featured at the start, middle, and/or the end of the episode. These sponsorships are for informational purposes only and are not a solicitation to use any product, service or token.

  continue reading

451 에피소드

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