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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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Romequinco/README.md

Hi, I'm Óscar

Quantitative analyst · Financial markets & AI · Bilbao, Madrid or remote

Website LinkedIn

I spent three years executing equities on a trading desk. Now I do quantitative research and build AI tools for markets: they explain what happened, check their own figures and never tell anyone what to buy.

Auguria dashboard
Auguria
Market analysis in Spanish · in production 		Briefly app
Briefly
A two-voice podcast on your stocks · live demo 		STATOR dashboard
STATOR
Liquidity engine for illiquid stocks · paper trading

Selected work

  • Auguria: Market analysis in Spanish. 1,071 commits in five months.
  • Briefly: A two-voice podcast on your stocks. 232/232 figures traced to a source.
  • STATOR: Liquidity engine for illiquid stocks. 0 of 2,938 orders out of limits.
  • 10-K agent: Answers questions from SEC filings. 8/10 blind questions right.
  • Market regimes: 12 detectors, 60 years of data. 16/17 crises caught.
  • Document systems for companies: Ordered archives and an AI assistant for 5 companies. In use.

All 30 projects, each with figures and a write-up, are on romequinco.github.io.

Stack

Python TypeScript PyTorch scikit-learn pandas LangGraph FastAPI Next.js Supabase Docker

En español

Analista cuantitativo de mercados financieros. Tres años ejecutando renta variable en una mesa; ahora hago investigación y herramientas de IA para los mercados. Fundador de Triarii Consulting y alumno del máster MIAX (Instituto BME). Todo mi trabajo, con figuras y explicación: romequinco.github.io/es

Pinned Loading

  1. PRUEBAS_DETECCION_REGIMENES_DE_MERCADO_TFM PRUEBAS_DETECCION_REGIMENES_DE_MERCADO_TFM Public

    Leak-free, walk-forward benchmark of 12 market-regime detectors over 1962–2026. Simple rules won: 16 of 17 crises caught. Part 1 of my MIAX master's thesis.

    Jupyter Notebook

  2. fair-credit-risk-nn fair-credit-risk-nn Public

    Neural credit-risk model that cuts the gender gap by 72% for 0.6 AUC points, with calibrated uncertainty (MC Dropout) on Home Credit data. MIAX, team of 3.

    Jupyter Notebook

  3. CHATBOT_ORGANIZACION CHATBOT_ORGANIZACION Public

    Telegram agent that turns team chat and voice notes into tracked tasks, with daily summaries at 8:30 and 17:00. In production at Albujón Energy.

    Python

  4. 10k-financial-agent 10k-financial-agent Public

    LLM agent that answers questions on SEC 10-K filings, cites the exact source and checks every figure against XBRL. 8/10 blind questions right. MIAX, team of 3.

  5. equity-arbitrage-oportunities equity-arbitrage-oportunities Public

    Consolidated order book across BME, Aquis, Cboe and Turquoise to find cross-venue arbitrage: 2,719 opportunities, wiped out by a few milliseconds of latency. MIAX.

    Jupyter Notebook

  6. multimodal-market-briefer multimodal-market-briefer Public

    Briefly: your stocks' close as a four-minute, two-voice podcast. Reads PDFs, charts and broker screenshots and answers by voice. 232/232 figures traced to a source. MIAX, team of 3.

    Python