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bigcandybunny's Projects

adv_fin_ml_exercises icon adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

algorithmic-trading icon algorithmic-trading

In this repository you are going to find trading strategies and exploratory data analysis

automated-fundamental-analysis icon automated-fundamental-analysis

Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.

backtrader icon backtrader

Python Backtesting library for trading strategies

blog icon blog

Source code for my personal blog

btplotting icon btplotting

btplotting provides plotting for backtests, optimization results and live data from backtrader.

data-analysis-of-sp500-stock-features icon data-analysis-of-sp500-stock-features

This project consists of web scraping features of S&P 500 companies like ticker, company name, sector, headquarter, date first added and foundation year from Wikipedia with Python using BeatifulSoup and Requests libraries. Then, the web scraped data is cleaned to perform data visualization in order to deliver insights about S&P 500 companies.

finance icon finance

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

finrl-library icon finrl-library

A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.

ib_insync icon ib_insync

Python sync/async framework for Interactive Brokers API

mplfinance icon mplfinance

Financial Markets Data Visualization using Matplotlib

notebooks icon notebooks

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

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