dbogatic Goto Github PK
Name: Dragan Bogatic, CFP®
Type: User
Company: EY
Location: Houston, TX
Blog: linkedin.com/in/dbogatic
Name: Dragan Bogatic, CFP®
Type: User
Company: EY
Location: Houston, TX
Blog: linkedin.com/in/dbogatic
Financial planning and portfolio analysis using APIs
Unsupervised Machine Learning Model with Amazon SageMaker
Investing strategy backtesting using BT Python library
Classification using Machine Learning models
Crowdsale Smart Contract with Solidity
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.
Cryptocurrency wallet simulation
Config files for my GitHub profile.
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
Economic indicators using Python and APIs
Case-Study of a FinTech Company
Stock screener, sentiment analysis and html scraper using data and news from FinViz
stores html version of notebooks
Stock portfolio analysis
Stock Price Prediction with LSTM Machine Learning Model
US stock market valuation using Shiller TR CAPE and Buffett Indicator
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
Random Forest model win-lose prediction based of AWS dataset for NBA Seasons 2002-2016
Proof of Authority (PoA) blockchain simulation using Geth
Portfolio optimization using Riskfolio-Lib
Ethereum Smart Contracts with Solidity, Remix IDE, Ganache, MetaMask
Fintech bootcamp homework - PyBank
Data visualization
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Sentiment Analysis using Natural Language Processing
Probability prediction of S&P 500 quarterly returns falling within predefined return ranges using Bayes linear regression model
Expected sigma event frequency of S&P 500 daily returns based on historical returns, compared to normal distribution expected frequency.
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.
Data analysis using PostgreSQL and Pandas
Technical analysis using pandas-TA python library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.