🤖 NEXT-GEN AGENTIC TRADING

Agents That Learn.
Models That Evolve.

The future of trading isn't static algorithms. It's autonomous agents that observe market regimes, adapt their strategies, and continuously improve through reinforcement learning — all while keeping you in control.

Meet the Agents
3
Active Agents
2
In Development
∞
Learning Potential
100%
Human Control

The Agent Fleet

Each agent specializes in a different aspect of market analysis. Together, they form a complete trading intelligence network.

LIVE

Delta Scout

Monitors order flow delta across multiple timeframes. Detects when aggressive buying or selling pressure is building before it appears on the price chart. The foundation of all pipNova-Ai signals.

Capabilities

  • Tick-level delta classification
  • 30-bar z-score computation
  • Real-time divergence detection
  • Signal generation every 2 seconds
LIVE

Pressure Guard

Validates every signal against live buyers/sellers pressure. Blocks false triggers where the z-score disagrees with the actual aggressive flow. Improved profit factor from 1.11 to 1.58.

Capabilities

  • 10-bar pressure window analysis
  • Imbalance confirmation (±0.06)
  • 42% false-trigger veto rate
  • Transparent blocked-reason logging
LIVE

Regime Watcher

Classifies current market conditions into regimes: trending up, trending down, ranging, high volatility, low volatility. Helps you know when to trust signals and when to stay flat.

Capabilities

  • 5-regime classification
  • ATR-based volatility detection
  • Value Area contraction/expansion
  • Regime-specific performance tracking
DEVELOPMENT

Quantum Predictor

Quantum-inspired feature extraction using superposition to evaluate multiple market states simultaneously. Currently undergoing walk-forward validation. Will not deploy until it beats placebo.

Capabilities

  • Multi-state regime evaluation
  • Quantum feature extraction
  • Walk-forward validation required
  • Status: AUC 0.4987 (needs >0.52)
RESEARCH

RL Optimizer

Reinforcement learning agent that optimizes position sizing and exit timing based on historical trade outcomes. Learns from every trade you take (or skip) to improve future recommendations.

Capabilities

  • TD3 policy gradient learning
  • Position size optimization
  • Exit timing refinement
  • Feedback loop from user decisions

How the Agents Work Together

Agentic Architecture

1

Observe

Delta Scout ingests tick data and builds 1-minute flow bars

2

Analyze

Regime Watcher classifies market conditions

3

Signal

Delta Scout generates z-score trigger

4

Validate

Pressure Guard confirms or vetoes

5

Deliver

Signal appears on terminal with full reasoning

Development Roadmap

Q4
2026

Delta Scout + Pressure Guard Live

Core order flow agents deployed with real-time XAUUSD analytics. Walk-forward validation complete. Profit factor 1.58 verified on OOS data.

✓ COMPLETE
Q1
2027

Regime Watcher + Multi-Timeframe

Market regime classification across M1, M5, M15, H1. Agent coordination for timeframe confluence signals. Enhanced filtering during high-volatility events.

⟳ IN PROGRESS
Q2
2027

Quantum Predictor Deployment

Quantum-inspired model must achieve AUC >0.52 on walk-forward validation before deployment. Currently at 0.4987. Target: 0.55+ with regime-specific tuning.

○ PLANNED
Q3
2027

RL Optimizer + Adaptive Position Sizing

Reinforcement learning for dynamic position sizing based on recent win rate, drawdown, and market volatility. Learns from every trade outcome.

○ PLANNED

The Future is Agentic

Static indicators are dead. The next generation of trading is adaptive, learning, and transparent. pipNova-Ai agents don't replace your judgement — they amplify it with data no human can process alone.

Watch the Agents Work