Two-person trading team setup: Bill (quant/algorithmic) and Colette (market observer). Includes phase-by-phase curriculum, separate sprint tracks, trade journal templates, roadmap to prop firm challenge, and agent handoff documentation. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Trading Curriculum — Overview
The Model
Bill and Colette operate as a two-person trading team with distinct roles:
| Role | Person | Approach |
|---|---|---|
| Quant / Engineer | Bill | ML models, scripts, backtesting, automation, signal validation |
| Market Observer | Colette | News, macro indicators, sector themes, trade idea generation |
Workflow: Colette spots opportunities (news catalyst, macro shift, chart pattern) → flags to Bill → Bill validates with data → team decides → Bill executes or automates
This mirrors how small prop desks actually work. Neither role is more important — a great model with no ideas is useless, and good ideas with no discipline lose money.
Bill's Track — Quant / Algorithmic
See: bill-track.md
Phases:
- Market data infrastructure (APIs, data feeds, TradingView Pine Script)
- Technical indicator implementation and backtesting
- ML signal generation (classification, regression, feature engineering)
- Strategy automation and alerting
- Prop challenge execution and monitoring
Colette's Track — Market Observer
See: colette-track.md
Phases:
- Chart literacy and TradingView basics
- News and macro awareness (what matters, what's noise)
- Sector rotation and high-level indicators
- Generating and communicating trade ideas
- Prop challenge: managing the watchlist and flagging setups
Shared Milestones
| Milestone | Description |
|---|---|
| First paper trade | Both place one paper trade and review it together |
| First flagged setup | Colette identifies a setup → Bill backtests it |
| First automated alert | Bill's script triggers on a Colette-identified pattern |
| Simulated challenge pass | Both run through a prop challenge simulation |
| Real challenge attempt | When two simulated passes are clean |