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Dragan Bogatic, CFP®'s Projects

bt-backtest icon bt-backtest

Investing strategy backtesting using BT Python library

crypto-analysis icon crypto-analysis

An attempt to determine the direction of crypto asset price movement based on selected market information as well as to identify if there are leading indicators that could point the direction of movement.

dbogatic.github.io icon dbogatic.github.io

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

finviz-stock-screen icon finviz-stock-screen

Stock screener, sentiment analysis and html scraper using data and news from FinViz

monte_carlo_sim icon monte_carlo_sim

Monte Carlo simulation based on portfolio weights between US Large Cap Stocks and Total US Bond Market, assuming different withdrawal rates and Normal or Student-t distribution

nba_win_predict icon nba_win_predict

Random Forest model win-lose prediction based of AWS dataset for NBA Seasons 2002-2016

riskfolio-lib icon riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

sp_return_probability_bayes icon sp_return_probability_bayes

Probability prediction of S&P 500 quarterly returns falling within predefined return ranges using Bayes linear regression model

sp_sigma_events icon sp_sigma_events

Expected sigma event frequency of S&P 500 daily returns based on historical returns, compared to normal distribution expected frequency.

stock-evaluation icon stock-evaluation

Compilation of technical analysis tools (EMA, Bollinger bands), fundamental analysis, machine learning models (LSTM, Random forest, ARIMA, GARCH, Markov Regime Switching), traditional stock prediction tools (Monte Carlo), sentiment analysis (NLP) as well as portfolio optimization, with purpose to provide a better understanding regarding possible future price movements of the analyzed stock and propose an optimal asset allocation.

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