Bighead's Algorithm Notes
Bighead's Algorithm Notes
Mar 26, 2026 · Artificial Intelligence

Paper Reading: ArchetypeTrader – A Reinforcement‑Learning Framework for Selecting and Optimizing Crypto Trading Strategies

The article reviews the ArchetypeTrader framework, which addresses market‑segmentation and demonstration‑data issues in crypto‑currency reinforcement learning by discovering discrete trading archetypes, selecting them via a hierarchical RL agent, and refining actions with a regret‑aware adapter, achieving superior profit and risk‑adjusted returns across multiple markets.

Reinforcement learningcryptocurrency tradinghierarchical reinforcement learning
0 likes · 16 min read
Paper Reading: ArchetypeTrader – A Reinforcement‑Learning Framework for Selecting and Optimizing Crypto Trading Strategies
Bighead's Algorithm Notes
Bighead's Algorithm Notes
Jan 25, 2026 · Artificial Intelligence

FinAgent Orchestration Framework: Shifting from Algorithmic to Agent‑Based Trading

The article presents FinAgent, a multi‑agent orchestration framework that maps traditional algorithmic trading components to autonomous agents, validates it on hourly stock and minute‑level Bitcoin back‑tests, and reports superior risk control, auditability, and scalability compared with standard benchmarks.

Algorithmic TradingFinAgentagent-based trading
0 likes · 15 min read
FinAgent Orchestration Framework: Shifting from Algorithmic to Agent‑Based Trading