🇨🇴 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
|
|
|
ML & DL based Investment Strategies for BTC using Technical Trading Indicators and On-Chain Data Analysis
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 …
AI Engineer capstones progressing from optimization and deep learning to transformers and a final agentic MCP-based incident command system with telemetry and replay.
Python 6
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…
Agentic finance examples for tool-enabled research workflows, market and macro retrieval, multi-agent analysis, and MCP-native research orchestration.