{"product_id":"q-quinn-quigley-nasdaq-100-signal-desk-python","title":"Q. Quinn Quigley — Nasdaq 100 Signal Desk (Python)","description":"\u003cp\u003e\u003cstrong\u003eQ. Quinn Quigley\u003c\/strong\u003e 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.\u003c\/p\u003e\n\u003ch3\u003eWhat it does\u003c\/h3\u003e\n\u003cp\u003eQuigley is the fund's only \u003cstrong\u003ealways-in momentum\u003c\/strong\u003e 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 — \u003cstrong\u003eLONG or SHORT\u003c\/strong\u003e — with entry, an ATR-based stop, and a 0–1 conviction score, as of the last completed candle.\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eSignal only.\u003c\/em\u003e The script never places an order and never touches your account.\u003c\/p\u003e\n\u003ch3\u003eWhat's included\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003ccode\u003equinn_quigley_ndx.py\u003c\/code\u003e — the self-contained desk script (only dependencies: requests, pandas, numpy)\u003c\/li\u003e\n\u003cli\u003e\n\u003ccode\u003eSETUP_GUIDE\u003c\/code\u003e — a plain-English, step-by-step setup guide for non-coders\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRequirements\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003ePython 3 and \u003ccode\u003epip install requests pandas numpy\u003c\/code\u003e\n\u003c\/li\u003e\n\u003cli\u003eA free OANDA practice API token (read-only pricing)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eHistorical backtest — zero-fee paper model on real prices\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eArchetype: RSI(14) momentum, always-in · 15-minute · 540-day OANDA history\u003c\/li\u003e\n\u003cli\u003eNet return +24.5% · Sharpe 0.77 · Max drawdown −13.5% · Win rate 51.8% · 3 of 4 positive walk-forward folds\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003csmall\u003e\u003cstrong\u003eImportant:\u003c\/strong\u003e 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.\u003c\/small\u003e\u003c\/p\u003e","brand":"Synthetic Capital","offers":[{"title":"Default Title","offer_id":53265826185440,"sku":null,"price":79.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0815\/1076\/0672\/files\/quinn_quigley_ndx.png?v=1782875155","url":"https:\/\/signalsupply.store\/products\/q-quinn-quigley-nasdaq-100-signal-desk-python","provider":"Signal Supply Co","version":"1.0","type":"link"}