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Agentic Trading Manual Trader Playbook

This repository is a learning playbook for manual traders using NodeAsset Head Trader screens, HeatMap, sports prediction markets, and simulator/live trading controls.

It introduces two starter strategies traders can use to find opportunities. These are not all-inclusive. Traders can discover many more opportunities on their own, with the community, or through NodeAsset professional services.

Who This Is For

  • New manual traders learning the Head Trader command center.
  • Traders practicing scanner-to-chart decision making before live trading.
  • Operators who need plain-language definitions for the PnL, MFE, capture, and campaign terms shown in Head Trader.

New User Getting Started

If you have never traded before, use this repository as a learning and observation toolkit first. The safest first steps are:

  • Read this README.md to understand the repo purpose.
  • Read AGENTS.md for the repo intent, guardrails, and what this project is meant to support.
  • Read docs/README.md and docs/glossary.md to learn the core terminology and trading concepts.
  • Review .agents/skills/trading-risk-and-terminology/SKILL.md before looking at signals or recommendations.
  • If you want to try the local agent flow, follow screen-loop-agent/HUMAN_RUN_GUIDE.md and use Docker Compose to build and run the agent.
  • Do not connect a real account or place live orders until you understand the signals, terminology, and risk guidance.

Opportunity Strategies

1. Live Agent Campaigns

Most traders start by finding opportunities through Live Agent Campaigns. This strategy uses the leaderboard and campaign metrics to identify stocks moving in real time, then uses HeatMap for timing and context.

Trading AI Agent Campaigns

2. Market Microstructure

Traders can also find opportunities by watching market microstructure changes. This strategy starts from scanner and HeatMap signals such as "Best Stocks", relative volume, ROC, ATR, MACD, and float rotation.

Trading Market Microstructure

3. Sports Prediction Markets

Manual sports traders can use agent activity as a starting signal, then independently verify live game state, line, price, and remaining time before deciding whether a contract is still realistic.

Sports Prediction Markets

Trading After Opportunities Are Found

After an opportunity is found through Live Agent Campaigns, Market Microstructure, or Sports Prediction Markets, traders practice or execute the trade separately through simulator or live brokerage account controls.

Simulator or Live Brokerage Account Trading

Reference

Source Material

Original exports and test-trader source material are preserved under source-material as reference material. The Markdown files are the primary learning surface for GitHub.

Screenshots used throughout the playbook are stored in images.

Risk Note

Simulator trading is for practice and process building. Live brokerage trading can lose real money. Treat the Head Trader screens as decision support, not as a guarantee of profit or a substitute for risk management.

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