Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Be Water: An Evolutionary Proof for Trend-Following

Yijia Chen

Abstract

The proliferation of diverse, high-leverage trading instruments in modern financial markets presents a complex, "noisy" environment, leading to a critical question: which trading strategies are evolutionarily viable? To investigate this, we construct a large-scale agent-based model, "MAS-Utopia," comprising 10,000 agents with five distinct archetypes. This society is immersed in five years of high-frequency data under a counterfactual baseline: zero transaction friction and a robust Unconditional Basic Income (UBI) safety net. The simulation reveals a powerful evolutionary convergence. Strategies that attempt to fight the market's current - namely Mean-Reversion ("buy-the-dip") - prove structurally fragile. In contrast, the Trend-Following archetype, which adapts to the market's flow, emerges as the dominant phenotype. Translating this finding, we architect an LLM-driven system that emulates this successful logic. Our findings offer profound implications, echoing the ancient wisdom of "Be Water": for investors, it demonstrates that survival is achieved not by rigid opposition, but by disciplined alignment with the prevailing current; for markets, it critiques tools that encourage contrarian gambling; for society, it underscores the stabilizing power of economic safety nets.

Be Water: An Evolutionary Proof for Trend-Following

Abstract

The proliferation of diverse, high-leverage trading instruments in modern financial markets presents a complex, "noisy" environment, leading to a critical question: which trading strategies are evolutionarily viable? To investigate this, we construct a large-scale agent-based model, "MAS-Utopia," comprising 10,000 agents with five distinct archetypes. This society is immersed in five years of high-frequency data under a counterfactual baseline: zero transaction friction and a robust Unconditional Basic Income (UBI) safety net. The simulation reveals a powerful evolutionary convergence. Strategies that attempt to fight the market's current - namely Mean-Reversion ("buy-the-dip") - prove structurally fragile. In contrast, the Trend-Following archetype, which adapts to the market's flow, emerges as the dominant phenotype. Translating this finding, we architect an LLM-driven system that emulates this successful logic. Our findings offer profound implications, echoing the ancient wisdom of "Be Water": for investors, it demonstrates that survival is achieved not by rigid opposition, but by disciplined alignment with the prevailing current; for markets, it critiques tools that encourage contrarian gambling; for society, it underscores the stabilizing power of economic safety nets.

Paper Structure

This paper contains 24 sections, 9 equations, 10 figures, 1 table.

Table of Contents

  1. Introduction
  2. Related Work
  3. Agent-Based Models and Econophysics
  4. Behavioral Biases versus Quantitative Factors
  5. LLMs as Financial Agents and Sim2Real
  6. Methodology: System Architecture and Micro-Mechanisms
  7. Agent Genomic Architecture and Behavioral Archetypes
  8. Adaptive Volatility Anchoring: Non-Stationary Risk Control
  9. Hierarchical Regime Filtering and Heuristic Decision Engine
  10. Market Microstructure Constraints: The Liquidity Shackle
  11. Endogenous Margin Calculus and the Leverage-Tolerance Constraint
  12. Market Microstructure Constraints: The Liquidity Shackle
  13. Egalitarian UBI Restart and Memetic Evolution
  14. Experimental Results and Discussion
  15. Emergence of a Positive-Sum Economy
  16. ...and 9 more sections

Figures (10)

  • Figure 1: Aggregate wealth of the 10,000-agent society over 5 years. The net positive growth indicates a successful positive-sum outcome.
  • Figure 2: Ecological succession of the five trading archetypes. The Trend-Following strategy (light green) exhibits clear evolutionary dominance.
  • Figure 3: Lorenz Curve of all agents.
  • Figure 4: Total wealth held by the Top 1% of the population over 5 years. This index serves as a proxy for the health and adaptability of the elite class.
  • Figure 5: Left: Gini coefficient stabilizing. Right: Upward wealth mobility across generations.
  • ...and 5 more figures