Self-Organization

A Modern Paradigm for Algorithmic Trading ArXiv ID: 2501.06032 “View on arXiv” Authors: Unknown Abstract We introduce a novel framework for developing fully-automated trading model algorithms. Unlike the traditional approach, which is grounded in analytical complexity favored by most quantitative analysts, we propose a paradigm shift that embraces real-world complexity. This approach leverages key concepts relating to self-organization, emergence, complex systems theory, scaling laws, and utilizes an event-based reframing of time. In closing, we describe an example algorithm that incorporates the outlined elements, called the Delta Engine. ...

Liberal Radicalism: A Flexible Design For Philanthropic Matching Funds ArXiv ID: ssrn-3243656 “View on arXiv” Authors: Unknown Abstract We propose a design for philanthropic or publicly-funded seeding to allow (near) optimal provision of a decentralized, self-organizing ecosystem of public goods Keywords: public goods, decentralized ecosystems, mechanism design, seeding strategies, self-organization, Fixed Income / Public Sector Complexity vs Empirical Score Math Complexity: 8.5/10 Empirical Rigor: 2.0/10 Quadrant: Lab Rats Why: The paper proposes a formal economic mechanism (Liberal Radicalism) based on quadratic funding, involving squareroot sums and nonlinear optimization, which is mathematically dense. However, it lacks empirical backtesting, datasets, or implementation details, focusing instead on theoretical models and philosophical implications. flowchart TD A["Research Question: How to optimally seed<br>decentralized public goods ecosystems?"] --> B["Method: Mechanism Design &<br>Mathematical Modeling"] B --> C{"Key Components"} C --> D["Input: Liberal Radicalism<br>Design Formula"] C --> E["Input: Community<br>Matching Funds"] D --> F["Process: Maximize Social<br>Welfare Function"] E --> F F --> G["Outcome: Near-Optimal<br>Public Goods Provision"] G --> H["Key Finding: Self-Organizing<br>Decentralized Seeding Strategy"]