Dragan Bogatic, CFP®'s repositories
value_investing
Investment analysis based on the Graham and Buffett value investing methodology
economic-indicators
Economic indicators using Python and APIs
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.
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.
finviz-stock-screen
Stock screener, sentiment analysis and html scraper using data and news from FinViz
market_valuation
US stock market valuation using Shiller TR CAPE and Buffett Indicator
Crowdsale-Solidity
Crowdsale Smart Contract with Solidity
portfolio_optimization
Portfolio optimization using Riskfolio-Lib
sentiment-analysis-NLP
Sentiment Analysis using Natural Language Processing
technical-analysis-pandas-ta
Technical analysis using pandas-TA python library
apis-homework
Financial planning and portfolio analysis using APIs
sp_return_probability_bayes
Probability prediction of S&P 500 quarterly returns falling within predefined return ranges using Bayes linear regression model
AWS-SageMaker-homework
Unsupervised Machine Learning Model with Amazon SageMaker
bt-backtest
Investing strategy backtesting using BT Python library
crypto_wallet
Cryptocurrency wallet simulation
dbogatic.github.io
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html_files
stores html version of notebooks
jupyter-homework
Stock portfolio analysis
LSTM-Stock-Predictor-homework
Stock Price Prediction with LSTM Machine Learning Model
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
Random Forest model win-lose prediction based of AWS dataset for NBA Seasons 2002-2016
poa_blockchain
Proof of Authority (PoA) blockchain simulation using Geth
profit_splitter_solidity
Ethereum Smart Contracts with Solidity, Remix IDE, Ganache, MetaMask
pyviz-homework
Data visualization
Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
sp_sigma_events
Expected sigma event frequency of S&P 500 daily returns based on historical returns, compared to normal distribution expected frequency.
technical_indicators
Technical Indicators using Alpha Vantage API
time_series_analysis
Time-Series Analysis
world_bank_stats
World Bank API country stats using WBGAPI python library