Carlos Salas (Carlossn)

Carlossn

Geek Repo

Company:Independent

Location:London

Twitter:@CarlosSNaj

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Carlos Salas's repositories

Py-NLP-applied-to-Event-Driven-Investing-Profit-Warning-Prediction

Applying NLP (Natural Language Processing) techniques to predict profit warnings using conference call transcripts

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Py-Pair-Trading-and-VAR-Analysis-for-Energy-Stocks

CQF Project based on introducing Pair Trading for Energy Stocks with VAR (Vector Autoregression), Engle Granger Approach, Backtesting, Optimization and Factor Analysis

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Py-Returns-Performance_Analysis

Python notebook to import a monthly returns series (stock, strategy, etf, etc) and analyze it using multifactor models and several portfolio analysis tools

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database

Using Python and MySQL to obtain and store financial data from public sources

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graphrag

A modular graph-based Retrieval-Augmented Generation (RAG) system by Microsoft

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Py-Using-Alternative-Data-to-Anticipate-Stocks-Momentum-

Web scraping box office data and creation of weekly indices to anticipate a stock price and earnings momentum for “movie” stocks (e.g. Lionsgate)

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R-Stock-Screen-Backtesting-Anaysis-App

R Shiny app created to analyze a stock screen data input

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2023-fastapi

How to Use FastAPI: A Detailed Python Tutorial by ArjanCodes

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G-Learning-Wealth-Management

M. Dixon - G-Learning WM Algo

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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POSTS

Lightbringercap.com Blog Posts - Scripts

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public-apis

A collective list of free APIs for use in software and web development.

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py-glm

Generalized Linear Models in Sklearn Style

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Py-Predicting-Interest-for-NYC-Apartment-Rental-Listings

Comparing different machine learning models to predict the number of inquiries a new listing receives in NYC based on the dataset provided by RentHop.

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qc_json_parser

QuantConnect Json File Parser - Organize KPIS from QC Backtesting

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Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

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