Pinned Repositories
algo_trader
Repository containing the code for my autonomous trading system
ARIMA_generic_notebook
An original notebook demonstrating techniques for identifying the order of ARIMA processes
Big_Data_Derby
Data visualization for Big Data Derby Kaggle Comp
chatproject
FED-NLP-Project
Code from fed nlp project. I built a small data set of Federal Reserve sentiment data (n=229) by scraping 20 years of federal reserve FOMC minute meeting transcripts then analyzing with naive bayes & transformer-based nlp algorithms. Performed simple ols regression to analyze the relationship that sentiment data had with the financial markets and other associated macro variables
iris_classification_RF
An original notebook tutorial for exploring and classifying the iris dataset using RF
Optimization
Repository of programs for solving optimization problems
RNNs-and-feature-engineering-notebook
Notebook for performing feature analysis on various technical indicators for stocks and then fitting RNNs to attempt to model the data
stock_return_processing
This notebook allows users to easily generate descriptive statistics of a given stock's return data & can be used to generate baseline to test forecasting models against
khammerberg53's Repositories
khammerberg53/algo_trader
Repository containing the code for my autonomous trading system
khammerberg53/chatproject
khammerberg53/iris_classification_RF
An original notebook tutorial for exploring and classifying the iris dataset using RF
khammerberg53/Optimization
Repository of programs for solving optimization problems
khammerberg53/ARIMA_generic_notebook
An original notebook demonstrating techniques for identifying the order of ARIMA processes
khammerberg53/Big_Data_Derby
Data visualization for Big Data Derby Kaggle Comp
khammerberg53/FED-NLP-Project
Code from fed nlp project. I built a small data set of Federal Reserve sentiment data (n=229) by scraping 20 years of federal reserve FOMC minute meeting transcripts then analyzing with naive bayes & transformer-based nlp algorithms. Performed simple ols regression to analyze the relationship that sentiment data had with the financial markets and other associated macro variables
khammerberg53/RNNs-and-feature-engineering-notebook
Notebook for performing feature analysis on various technical indicators for stocks and then fitting RNNs to attempt to model the data
khammerberg53/stock_return_processing
This notebook allows users to easily generate descriptive statistics of a given stock's return data & can be used to generate baseline to test forecasting models against
khammerberg53/ARIMA_forecasting
boilerplate code for fitting ARIMA to yfinance data
khammerberg53/Backtest-ARIMA-Model-Startegy
Backtested trading strategy based on modelling stock returns based on Auto Regressive Integrated Moving Average model
khammerberg53/FinRL
FinRL: Financial Reinforcement Learning Framework. Please star. 🔥
khammerberg53/GameTheory
scripts to solve game theory problems
khammerberg53/keras-tuner
Hyperparameter tuning for humans
khammerberg53/MLEC
Files and code for ML EC Projects
khammerberg53/MLPROJ1
code from for project attempting to predict security price movement with LSTM neural networks
khammerberg53/opencv
Open Source Computer Vision Library
khammerberg53/pcc_2e
Online resources for Python Crash Course (Second Edition), from No Starch Press
khammerberg53/price-prediction
Predicting different market prices using Deep Learning and Recurrent Neural Networks
khammerberg53/python-ai-trading-system
Code for How To Create A Fully Automated AI Based Trading System With Python
khammerberg53/Simple-Python-Chatbot
khammerberg53/SQLnotes
khammerberg53/synthetic_data
Repository for code from synthetic stock data tutorial - may be expanded in the future to include tutorials for working with the synthetic data
khammerberg53/TradingSystem
Azure Data Factory trading system repository
khammerberg53/twitter_data_mining
Twitter Data Mining and Sentiment Analysis in Python, as presented at the International Conference on Big Data Analytics & Data Science (Las Vegas 2019)
khammerberg53/xgboost-loan-default-prediction
Basic pipeline for predicting loan default status with xgboost that I put together for a job application with a dataset the company provided