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franquant/README.md

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🌍 Hello World!

🇨🇴 AI-Driven Quant | Building systematic strategies at the intersection of Risk Premia, Machine Learning & Asset Allocation. Fusing Quant Research & AI to engineer alpha

Thesis: AI + Human Intelligence = Edge

AI Quant Banner

Tech Stack

AI / RAG / LLM Stack

Data & Visualization

Backend / Infra / DevOps

Model Architectures

Quant / Trading Libraries

Docs & Writing

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  1. AI-based-Trading-Strategies AI-based-Trading-Strategies Public

    AI-based Trading Strategies applies deep learning models (LSTM, GRU, CNN-LSTM, Transformer) to market prediction and asset allocation. The models are evaluated with transaction cost sensitivity and…

    Jupyter Notebook 2

  2. A-Quant-Journey A-Quant-Journey Public

    This repository showcases the research and analysis conducted by J. Francisco Salazar, as featured at the prestigious 1st Artificial Intelligence in Finance Conference (AIIFC). The work presents a …

    Jupyter Notebook 6 1

  3. ML-and-DL-based-Investment-Strategies-for-BTC ML-and-DL-based-Investment-Strategies-for-BTC Public

    ML & DL based Investment Strategies for BTC using Technical Trading Indicators and On-Chain Data Analysis

    Jupyter Notebook 10 4

  4. Predicting-Asset-Move-Direction-using-Support-Vector-Machines Predicting-Asset-Move-Direction-using-Support-Vector-Machines Public

    Short term forecasting with support vector machines and application to stock price prediction

    Jupyter Notebook