The DeAI Dispatch

In this conversation, Michael, the founder of Almanac, discusses the innovative platform that allows users to build, train, and deploy financial strategies using AI agents. He explains the functionality of these agents, the democratization of quant trading, the importance of data sources, and the various user roles within the platform. Michael also delves into the tokenomics, community fundraising, and the roadmap for future developments, emphasizing the need for a solid business model in the evolving DefAi landscape.

👉 Key Takeaways
Almanak enables users to build and deploy financial strategies using AI agents.
Almanak democratizes quant trading, making it accessible to non-experts.
Data sources for Almanac include various blockchain data providers.
Users can contribute strategies and earn rewards through the platform.
There are three user types: retail investors, agent managers, and strategy contributors.
The platform ensures strategy effectiveness through simulation and backtesting.
Community fundraising helps in selecting valuable contributors to the project.
Tokenomics will incentivize various stakeholders within the ecosystem.

⏰ Timestamps
00:00 Introduction
00:25 Michael's background
01:53 What is AlmanaK?
05:19 The Role of AI in Quant Trading
06:19 Sourcing data for Almanac & Strategy contribution
08:23 Almanac User Types
10:34 Building trust with AI Agents
11:43 Ss DefAI the new Trojan horse ?
12:49 Community Fundraising
14:39 Different kinds of trading strategies
16:34 Financial upside for users
18:27 Building Trust & Credibility of these models
19:51 Incentivization for good behavior
21:41 Tokenomics and Future Roadmap
24:20 AlmanaK Roadmap
25:47 Navigating the AI and DefAi Market Landscape