khammerberg53 Goto Github PK

algo_trader

Repository containing the code for my autonomous trading system

arima_forecasting

boilerplate code for fitting ARIMA to yfinance data

arima_generic_notebook

An original notebook demonstrating techniques for identifying the order of ARIMA processes

backtest-arima-model-startegy

Backtested trading strategy based on modelling stock returns based on Auto Regressive Integrated Moving Average model

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

finrl

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

gametheory

scripts to solve game theory problems

iris_classification_rf

An original notebook tutorial for exploring and classifying the iris dataset using RF

keras-tuner

Hyperparameter tuning for humans

mlec

Files and code for ML EC Projects

mlproj1

code from for project attempting to predict security price movement with LSTM neural networks

opencv

Open Source Computer Vision Library

optimization

Repository of programs for solving optimization problems

pcc_2e

Online resources for Python Crash Course (Second Edition), from No Starch Press

price-prediction

Predicting different market prices using Deep Learning and Recurrent Neural Networks

python-ai-trading-system

Code for How To Create A Fully Automated AI Based Trading System With Python

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

simple-python-chatbot

sqlnotes

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

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

tradingsystem

Azure Data Factory trading system repository

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)

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