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MULTI-AGENT AI ARCHITECTURE SPECIFICATION

Quant AI Model & 12-Agent Autonomous Consensus

Trading is inherently multidisciplinary. Rather than relying on a single black-box neural net, the Gautam Quant Terminal AI Model coordinates 12 specialized autonomous AI agents that deliberate, cross-verify, and establish mathematical consensus before generating a trade thesis.

1. The 12-Specialist Agent Consensus Roster

Each agent represents an independent analytical discipline equipped with proprietary deterministic data tools:

1. Market Structure Specialist

Swing highs/lows, break of structure (BOS), change of character (CHoCH), and Fair Value Gaps (FVG).

2. Order Flow & Footprint Agent

Bid-ask cluster imbalances, cumulative volume delta (CVD), absorption nodes, and aggressive volume.

3. Volume Profile Analyst

Point of Control (POC), Value Area High (VAH), Value Area Low (VAL), and high/low volume nodes.

4. Volatility & Regime Specialist

ATR expansion/contraction cycles, Bollinger standard deviation bands, and regime transitions.

5. Liquidity & Heatmap Agent

Resting limit order walls, liquidation clusters, stop sweep boundaries, and magnetic liquidity.

6. Fundamental & Macro Analyst

Treasury yields, DXY index, central bank liquidity, corporate balance sheet ratios, and earnings data.

7. Sentiment & Social Alpha Agent

Institutional positioning, put-call ratios, retail crowd divergence, and funding rate anomalies.

8. Risk & Invalidation Supervisor

Strict 1R risk caps, hard invalidation thresholds, dynamic trailing stop management, and position sizing.

2. Anti-Hallucination & Deterministic Tool Verification

Large Language Models are prone to inventing patterns if unconstrained. In Gautam Quant Terminal, agents cannot fabricate prices or indicators. Every agent is strictly wired to deterministic calculation engines (NumPy, SciPy, Pandas, real exchange feeds). If an agent argues for a bullish breakout, its claims are verified against verified tick records before passing to consensus.

3. Dynamic Trailing Stop Loss Integration

Once consensus triggers a trade setup, the Risk Supervisor manages execution across all timeframes. At Target 1 (+1R), the stop loss shifts to Cost-to-Cost (Breakeven). As the market moves deeper into profit, the trailing stop ratchets forward continuously 1R behind the peak favorable price, locking in gains automatically.

Experience 12-Agent Consensus Live on Your Asset

Run multi-agent quantitative deliberation on Gold, Bitcoin, Nifty 50, or US stocks inside Gautam Quant Terminal.

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