Lead Agent Paper Simulation

This simulation models a decentralized multi-agent algorithmic decision-making pipeline operating on real-time paper market data for the COIN/DEMO trading pair. The architecture utilizes four specialized sub-agents—Technical, Sentiment, On-Chain, and Risk—each independently evaluating distinct market parameters every 8 seconds. The Technical Agent analyzes key chart indicators like RSI and MACD, the Sentiment Agent tracks social signals and news cycles, and the On-Chain Agent monitors wallet movements and liquidity flows. The Risk Agent acts as an active circuit breaker, establishing maximum drawdown boundaries and halting trades during volatile slippage conditions.

Synthesizing these parallel inputs, the Lead Agent applies a weighted consensus protocol to determine the optimal trade recommendation (BUY, SELL, or HOLD) alongside a dynamic confidence metric. Upon consensus, signals pass directly to the Execution Agent, which executes simulated paper trades, manages capital allocation, and tracks real-time portfolio P&L. By combining cross-domain intelligence with strict safety controls, this agentic infrastructure demonstrates how autonomous governance and verification can automate portfolio strategies while mitigating downside risk in volatile cryptoasset environments.