rdm499

rdm499's Stars

• je-suis-tm/quant-trading

  Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

  Language:Python6k250151.2k

• BurntSushi/nflgame

  An API to retrieve and read NFL Game Center JSON data. It can work with real-time data, which can be used for fantasy football.

  Language:Python1.3k143320413

• PyPatel/Options-Trading-Strategies-in-Python

  Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

  Language:Python827594231

• roclark/sportsipy

  A free sports API written for python

  Language:Python49430248191

• chrism2671/PyTrendFollow

  PyTrendFollow - systematic futures trading using trend following

  Language:Python377252374

• fivethirtyeight/nfl-elo-game

  Data and code for FiveThirtyEight's NFL game

  Language:Python321437365

• mkreiser/ESPN-Fantasy-Football-API

  Connect to ESPN's fantasy football API via this JS API client for web and NodeJS. Available as an npm package.

  Language:JavaScript313213579

• nflverse/nfldata

  NFL Data (by Lee Sharpe)

  Language:R271261874

• MicrosoftResearch/Azimuth

  Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency

  Language:Python230252289

• jasonacox/pypowerwall

  Python API for Tesla Powerwall and Solar Power Data

  Language:JavaScript138144625

• jo-cho/Technical_Analysis_and_Feature_Engineering

  Feature Engineering and Feature Importance in Machine Learning for Financial Markets

  Language:Jupyter Notebook1213034

• Hupperich-Manuel/LSTM-XGBoost-Hybrid-Forecasting

  LSTM-XGBoost Time Series Forecasting

  Language:Jupyter Notebook1082433

• zackthoutt/nfl-player-stats

  Recorded statistics for all football players to ever play in the NFL

  Language:Python9216940

• raerickson/football_book_code

  Language:R837117

• Carterbouley/ElectricityPricePrediction

  This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning methods) to predict the day ahead electricity price, and modelled a basic battery function to extract value

  Language:Jupyter Notebook539227

• jironghuang/trend_following

  Developing a trend following model using futures

  Language:Jupyter Notebook312016

• datasets/natural-gas

  Natural Gas Prices including Henry Hub

  Language:Python2310216

• victorwlin/Unusual-Whales-Data-Analysis

  Language:JavaScript17506

• blhart216/NFL

  NFL Stats

  Language:Jupyter Notebook1514

• AaronFlore/Forecasting-Bitcoin-Prices

  Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

  Language:Jupyter Notebook13102

• ukritw/nflprediction

  Predicting NFL games using Machine Learning

  Language:Jupyter Notebook13225

• fBaz92/Electrical-engineering

  All the projects made in the electrical energy engineering course taken in the University of Bologna.

  Language:MATLAB12111

• CharlesCarr/nfl_nextgen_stats

  NFL stats dashboard (full stack web app) using AWS's Next Gen NFL Stats for displaying and tracking passing data.

  Language:TypeScript100

• FabianKaechele/Energy-Schaake

  Python Functions used in the paper: "From point forecasts to multivariate probabilistic forecasts: The Schaake shuffle for day-ahead electricity price forecasting"

  Language:Python10101

• kristijanbartol/ShortTermCrudeOilPriceForecast

  Using XGBoost Python library to create a model for short-term forecasting of crude oil prices based on other important prices trends (gold, silver, crude oil, ...)

  Language:Python9306

• Tarik-Assou/Natural-Gas-Price-Prediction-using-XGBoost-LSTM

  Language:Jupyter Notebook81

• chrisprasanna/Predicting_Seattle_Gas_Prices_with_ML

  End-to-end development pipeline for predicting retail gas prices in Seattle using deep learning.

  Language:Jupyter Notebook6101

• ImMatthewCourtney/Portfolio

  My Professional Portfolio

  Language:Python52

• FIRE-Phoebe/Gas_Price_analysis

  Forecasting the gas price trend and finding the best machine learning model to make the future prediction.

  Language:Jupyter Notebook310

• doomed51/UW_alertAnalysis

  Running analysis on options alerts from Unusual Whales

  Language:Python2100