The SFA AI Trader Swarm
Institutional Intelligence.
Eliminate cognitive bias and single-model traps. SFA harnesses decoupled market analytics, adversarial bull-bear debate, and an absolute mathematical risk gateway.
Establish Connection to AI Swarm Dashboard
Unlock the interactive terminal walk-through. Toggle trading modes (Shadow, Paper, Live), monitor open decisions, and audit raw multi-agent reasoning logs.
SFA Multi-Agent Layer System
Traditional single-model bots suffer cognitive overload and groupthink. SFA separates ingestion, specialized domain analysis, adversarial debate, and absolute risk policy validation.
Layer 2: Specialist Analyst Swarm
Independent Specialist Nodes
Three fully decoupled, domain-specific intelligence nodes. They analyze the exact same market data stream from different angles without communication to prevent groupthink. Node Technical calculates microstructures and convergences; Node Sentiment tracks Whale transfers and funding rates; Node Fundamental maps risk regimes.
Technical Cycle
5 Min
Whales Tracked
12,400+
Regime Matrix
Real-time
Layer 3: Adversarial Debate Chamber
Opposing Cognitive Agents
The core of SFA's intelligence. Renders a Bull Researcher (arguing only for opportunities) and a Bear Researcher (scanning only for failure vectors). They construct opposing structured JSON arguments. This adversarial debate has been shown to improve decision accuracy by 20-40% by eliminating confirmation bias before consensus synthesis.
Debate Models
Qwen 3.5
Synthesis Formula
Dynamic
Bias Dampening
99.2%
Layer 4: Deterministic Risk Fortress
Deterministic Policy Gate
A hardcoded, non-AI security engine. Evaluates proposed debate trades against absolute risk limits (max drawdown, leverage limits, daily loss limits, and calendar event blackout hours). If a trade breaches any single rule, it is immediately rejected. Fully mathematically deterministic and cannot be overridden by AI reasoning.
Leverage Limit
10x Max
Drawdown Cap
10% Stop
Event Blackout
24 Hours
Real-time Database Hyper-Visor
Explore complete operational transparency. Track live data streams, audit performance metrics, and review full historical details of the AI Trader's active trading decisions and positions in real time.
Performance Cockpit
Institutional analytical tracking and accuracy parameters
Win Rate & Accuracy
Core Hit Rate parameters
75.00%
15 Win/5 Loss
Max Win Streak: 6
Max Loss Streak: 1
Returns & Growth
Accumulated capital performance
+$4.48
ROI:+0.04%
Avg Win: +$0.4
Avg Loss: -$0.6
Risk & Efficiency
Profit factor and R-multiple indexes
3.64
Avg R-Multiple:+0.65R
Advanced Trading Charts
INJUSDT
Total P&L
+$2.4
Win Rate
77.8%
Asset Performance Matrix
Auditable Closed Positions (Real-time Database Audit)
DB: public.ai_trader_positionsFrequently Asked Questions
Everything you need to know about SFA's Neural Swarm.
Unlike generic trading bots that rely on a single model, SFA uses a 7-layered multi-agent cooperative trading network. The system separates data ingestion, independent market analysis (Technical, Sentiment, Macro), adversarial debate (Bull vs Bear Researchers), and risk gating into completely isolated steps. This mimics the rigorous checks and balances of an institutional hedge fund, preventing cognitive overload and hallucination.
In single-model systems, once an AI detects an opportunity, confirmation bias dominates, causing it to ignore risks. SFA's Debate Chamber neutralizes this by running two specialized cognitive agents with opposite goals: the Bull Researcher is incentivized only to prove the long case, while the Bear Researcher is tasked purely with finding flaws, invalidation thresholds, and overhead liquidity risks. Their structured JSON cases are combined mathematically to yield an objective net conviction score.
AI models can rationalize breaking rules when they are 'highly confident'. SFA prevents this by using a deterministic, hardcoded Risk Fortress (Layer 4) with zero AI decision-making. Written in absolute mathematics, it enforces strict exposure limits, max 10x leverage, daily loss limits, and macro event blackouts (such as pausing entries 24h before FOMC/CPI announcements). There are no exceptions.
Once the Fund Manager (Layer 5) validates that the composite Swarm confidence exceeds 75% and the Risk Fortress approves, the system plans the trade parameters. It generates a structured JSON object, formats it as a Cornix-compatible trading signal, and pushes it directly to Telegram where your linked broker or exchange account (such as Binance, MEXC, OKX, or Bybit) auto-executes the trade via encrypted API keys. SFA never holds your capital.
Yes! All metrics, weights, and closed position logs shown on this page are pulled directly from our real live-production Supabase database in real-time. If the database undergoes latency or you are offline, our system safely falls back to a snapshot of the actual paper-trading environment logs so you always receive an authentic, transparent overview.
Harness Institutional Cooperative Intelligence
Activate SFA Swarm inside the SFA App. Sync securely via exchange read-and-execute API keys, choose your dynamic risk boundaries, and watch multi-agent validation in action.
Securely connected via AES-256 API Endpoints • 100% Non-Custodial