An Agent-Based Simulation Comparing Trend-Following and Mean-Reversion

Summary

The document uses a large agent-based simulation to examine which trading styles persist in a noisy market. Its MAS-Utopia model includes 10,000 agents across five archetypes and applies five years of high-frequency data. The simulated setting assumes no transaction frictions and provides agents with unconditional basic income. Under those conditions, trend-following agents, which adapt to market direction, fare better over time than mean-reversion agents that trade against the prevailing move.

The authors say the result motivates an LLM-driven system based on trend-following logic. The evidence described is a simulation, not a live-market test, and its assumptions limit how directly it can guide trading: removing trading costs and providing a safety net may change which strategies survive. The excerpt gives no performance measures, agent rules, or sensitivity analysis, so it offers a directional hypothesis rather than proof that trend-following will dominate in other markets or conditions.

Key ideas

• The model compares five agent types in a simulated market using high-frequency data.
• Trend-following agents emerge as more viable than mean-reversion agents in the stated setup.
• The simulation assumes zero transaction friction and an unconditional income safety net.
• The result is model-based and may not transfer directly to markets with different costs or conditions.
• The authors describe an LLM-driven system intended to apply the trend-following logic.

Tags

# Be Water: An Evolutionary Proof for Trend-Following


# Be Water: An Evolutionary Proof for Trend-Following









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.

Shown in full with attribution under the source's licence. Licence: abstract CC0

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.