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GitHub / FranQuant / A-Quant-Journey
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 sophisticated exploration of forecasting asset returns, employing advanced methodologies in machine learning and artificial intelligence.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FranQuant%2FA-Quant-Journey
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 25.8 MB
Dependencies:
0
Created: 3 months ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago
Topics: algorithmic-trading, backtesting-trading-strategies, deep-learning-algorithms, machine-learning-algorithms, pca-analysis, prediction-based-trading
Files
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