HIVESIGHT_TERMINAL_DOCS

v.8.4.1 [MCP_STREAM_PROTOCOL]

1. ARCHITECTURE_OVERVIEW

The HiveSight system utilizes a Multi-Agent Swarm architecture. Instead of relying on a single monolithic algorithm, HiveSight instantiates five independent Large Language Models (Gemini, Claude, GPT-5.5, Qwen, and GLM-5) in isolated threads.

2. SIGNAL_GENERATION_PARAMS

AGENT_ID PRIMARY_VECTOR
GEMINI Social & Macro Sentiment
CLAUDE Fundamental & Regulatory
GPT-5.5 Derivatives & Options
QWEN Algorithmic Technicals
GLM-5 On-Chain & Network

3. QUANTITATIVE_HEURISTICS

3.1 FIBONACCI_RETRACEMENTS

Support_Level(n) = H - (H - L) * F_n

Where F_n IN {0.236, 0.382, 0.500, 0.618, 0.786}
FIBONACCI_0.618_BOUNCE
1.000 (H) 0.786 0.618 (GOLDEN POCKET) 0.500 0.000 (L) > BUY_SIGNAL

3.2 Z-SCORE_MEAN_REVERSION

Z_t = (P_t - μ_N) / σ_N
MEAN_REVERSION_Z-SCORE
μ (MEAN) +2.5σ (SELL_ZONE) -2.5σ (BUY_ZONE) > EXEC_SELL > EXEC_BUY

4. CONSENSUS_ALGORITHM

BFT_VOTING_THRESHOLDS:
>= 3 BUY : EXECUTE_BUY
>= 3 SELL : EXECUTE_SELL
ELSE : HOLD