Q. Quinn Quigley — Nasdaq 100 Signal Desk (Python)
Q. Quinn Quigley — Nasdaq 100 Signal Desk (Python)
Q. Quinn Quigley is the Nasdaq 100 desk from the Synthetic Capital / Charting the Rubicon AI Agents Fund — isolated into a single standalone Python script you can run yourself. It reproduces the exact decision the fund's Quigley desk makes.
What it does
Quigley is the fund's only always-in momentum desk. Using RSI(14) on 15-minute Nasdaq bars, he holds long when momentum is above neutral and short when below, rolling the position on a fixed 90-minute schedule — built around the Nasdaq's tendency to move in sustained waves. Each run reads real NAS100 (CFD) candles and prints the desk's current call — LONG or SHORT — with entry, an ATR-based stop, and a 0–1 conviction score, as of the last completed candle.
Signal only. The script never places an order and never touches your account.
What's included
-
quinn_quigley_ndx.py— the self-contained desk script (only dependencies: requests, pandas, numpy) -
SETUP_GUIDE— a plain-English, step-by-step setup guide for non-coders
Requirements
- Python 3 and
pip install requests pandas numpy - A free OANDA practice API token (read-only pricing)
Historical backtest — zero-fee paper model on real prices
- Archetype: RSI(14) momentum, always-in · 15-minute · 540-day OANDA history
- Net return +24.5% · Sharpe 0.77 · Max drawdown −13.5% · Win rate 51.8% · 3 of 4 positive walk-forward folds
Important: These figures are a zero-fee, zero-slippage paper model on historical data. An always-in strategy trades frequently and is especially sensitive to costs. They are not a forecast and not a promise of profit — live spread, commissions, and slippage will reduce results. This is a research tool, not financial advice. Past performance does not indicate future results, and you are responsible for any trading decisions you make.
