The 13 Agents

Each agent has a defined role, a specific model tier, and transparent token usage per run.

01

Data Sources

8 live feeds: Binance/OKX/Bybit Perpetuals, Glassnode On-Chain, X/Twitter Stream, Telegram KOL, Coindesk, Bloomberg. ~1,240 events/second across 42 symbols. Purely technical ingest layer (WebSocket/REST).

NON-LLM 0 tokens $0.00
02

Data Integration

Schema normalization, deduplication, quality tagging. Reads the full-market raw data window — the largest input consumer in the pipeline. In/out ratio ≈ 23:1.

SONNET 1.4M in / 60K out $5.10
3a

Market Analyst

Scans price structure across all 42 symbols. Detects breakouts, volume anomalies, regime classification (trending/ranging/volatile). Runs in parallel with On-Chain and Sentiment.

SONNET 950K in / 45K out $3.53
3b

On-Chain Agent

Monitors whale wallet movements, stablecoin inflows/outflows, exchange net flows. Identifies accumulation/distribution patterns across major assets.

SONNET 800K in / 40K out $3.00
3c

Sentiment Agent

Processes social media, KOL mentions, news narratives. Tracks hype risk and narrative momentum. Largest input in the analysis group due to high volume of social text.

SONNET 1.05M in / 50K out $3.90
04

Researcher Team

Receives all 3 analysis outputs. Simultaneously constructs a PUMP thesis and a DUMP thesis — both sides mandatory. Largest output in the pipeline (85K tokens). NO SIGNAL exit point: 93% of runs stop here.

SONNET 700K in / 85K out $3.38
05

Fact-check

Validates evidence items — rejects low-reputation sources and unconfirmed rumors. Every rejected item saves tokens for all downstream agents.

SONNET 250K in / 35K out $1.28
06

Trading Evidence

Packages verified evidence into a standardized bundle with PUMP/DUMP scores, direction bias, and risk flags for downstream consumption.

SONNET 120K in / 20K out $0.66
07

Trader Agent

Converts evidence into a concrete trade plan: entry range, stop loss, take-profit ladder, risk/reward ratio, leverage, timeframe, invalidation conditions. NO TRADE exit point: if no valid entry exists, the run stops here.

SONNET 180K in / 30K out $0.99
08

Backtest & Validation

Queries the feature store (18-month window), finds similar historical setups. Reports win rate, profit factor, Sharpe. Statistics run on a numerical engine — LLM only summarizes.

SONNET 150K in / 20K out $0.75
09

Position Sizing

Calculates position size based on equity, risk per trade, confidence multiplier, and volatility. Cheapest agent in the pipeline. Math runs on a numerical engine.

SONNET 80K in / 10K out $0.39
10

Risk Management

Reviews the trade against the BALANCED risk profile — 7 gates: size limits, leverage cap, SL enforced, daily drawdown, correlation, exposure, liquidity. Escalates to Deep Thinking if flags are raised.

SONNET 120K in / 20K out $0.66
11

LLM Deep Thinking

The most expensive agent. Performs adversarial review — actively argues against the trade. Surfaces counter-arguments and recommends adjustments (e.g., reduce leverage). Activated only when needed: large size, high leverage, or conflicting signals.

OPUS 400K in / 50K out $3.25
12

Manager Agent

Synthesizes trade plan + validation + risk + deep thinking → final APPROVE/REJECT. Decision is digitally signed and logged immutably. The final arbiter — can also route to manual review.

OPUS 150K in / 15K out $1.13
13

Execution Agent

Pure deterministic code — the LLM is not allowed to improvise when real money is placed. Handles order placement, slippage control, SL/TP ladder, retries, and immutable logging. The most important design rule.

NON-LLM 0 tokens $0.00
14

Monitoring & Feedback

Tracks open positions, live PnL, alerts. When a position closes, lessons are written to the Knowledge Base so the Researcher Team learns. Runs periodically — tokens accumulate with holding time.

SONNET 100K in / 12K out $0.48

Total Per Full Run

6.94M
Total Tokens
$28.48
Total Cost
91% / 9%
Sonnet / Opus Split

Every token is transparent. Every decision is auditable.

Click any run in the console and see exactly what each agent read, wrote, and cost.

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