Ricardo Brondani's repositories
Algorithmic_Portfolio_Hedging
Algorithmic multi-greek hedges using Python
AI_Stock_Trading
Design pattern for critical stages in the development process of an AI Stock Trading Bot
AIAlpha
Use unsupervised and supervised learning to predict stocks
AnalyzeTheChat
Python based whatsapp chat analyzer
Automatic_Portfolio_Optimization
A pipeline to optimize a portfolio of assets and test it against unseen data.
Azure
Repositório para guarda de códigos desenvolvidos para Azure
bovespaStockRatings
Crawler for Fundamental analysis platform for BOVESPA stocks, generating a score for each share according to the selected criteria on the indicators.
DegiroAPI
An unofficial API for the trading platform Degiro, with the ability to get real time data and historical data
Dynamic_Algorithmic_Trading_Systems
Dynamic algorithmic trading systems in Python using Interactive Broker's Python API
finta
Common financial technical indicators implemented in Pandas.
fundamentalista
Coletor de dados financeiros de empresas listadas na B3
MarketAnalysis
Portfolio Theory, Options Theory, & Quant Finance
MarkowitzPortfolioOptimization
Computing a solution for the optimal mean-variance tradeoff (maximising Sharpe Ratio) of a portfolio according to MPT.
msg_parser
Python module to read, parse and converting Microsoft Outlook MSG E-Mail files.
optionmatrix
Financial Derivatives Calculator with 168+ Models (Options Calculator)
options_backtester
Simple backtesting software for options
Pricing_Exotic_Options
Library for simulation and analysis of vanilla and exotic options
public-apis
A collective list of free APIs for use in software and web development.
pyBlackScholesAnalytics
Options and Option Strategies analytics for educational purpose using the Black-Scholes Model
python_para_investimentos
Aplicações de Python para Finanças e Investimentos
quantstats
Portfolio analytics for quants, written in Python
Serverless-APIs
Guidance for building serverless APIs with Azure Functions and API Management.
SmartThingsPublic
SmartThings open-source DeviceTypeHandlers and SmartApps code
SP1500stockPicker
A machine learning approach to investment portfolio composition. The program analyzes the fundamentals of the listed companies on the S&P1500 in order to emit monthly buy signals.
spacy-models
💫 Models for the spaCy Natural Language Processing (NLP) library
stack-repo
Repositório para armazenamento de código e notebooks de postagens do blog e cursos.
Stock-Market-Analysis
Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short term stock trends.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Tutorials
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.