alexmscoggins

alexmscoggins's Stars

• apache/airflow

  Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

  Language:Python36k14k

• GoogleCloudDataproc/hadoop-connectors

  Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.

  Language:Java279235

• databricks/spark-redshift

  Redshift data source for Apache Spark

  Language:Scala605349

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.7k461

• KidQuant/Pairs-Trading-With-Python

  This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

  Language:Jupyter Notebook28092

• dzitkowskik/StockPredictionRNN

  High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

  Language:Python683273

• databricks/delta-live-tables-notebooks

  Language:Python326236

• koenigm-seattleu/omsba5068-wq23

  Language:Python21

• CharlesLoo/stock-pattern-recorginition

  Language:Python22784

• databricks-demos/dbdemos

  Demos to implement your Databricks Lakehouse

  Language:HTML26387

• jasonstrimpel/volatility-trading

  A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

  Language:Python1.5k357

• QuantConnect/Lean

  Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

  Language:C#9.4k3.2k

• jamesmawm/mastering-python-for-finance-second-edition

  Sources codes for: Mastering Python for Finance, Second Edition

  Language:Jupyter Notebook388115

• cuemacro/finmarketpy

  Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

  Language:Python3.4k490

• robertmartin8/MachineLearningStocks

  Using python and scikit-learn to make stock predictions

  Language:Python1.7k504

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python81.7k21.9k

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++185k74.1k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.3k15k

• tatsath/fin-ml

  This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

  Language:Jupyter Notebook795392

• dedwards25/Python_Option_Pricing

  An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options

  Language:Jupyter Notebook614121

• VivekPa/AIAlpha

  Use unsupervised and supervised learning to predict stocks

  Language:Python1.7k443

• yacoubb/stock-trading-ml

  A stock trading bot that uses machine learning to make price predictions.

  Language:Python594255

• grananqvist/Awesome-Quant-Machine-Learning-Trading

  Quant/Algorithm trading resources with an emphasis on Machine Learning

  2.6k556

• apache/spark

  Apache Spark - A unified analytics engine for large-scale data processing

  Language:Scala39.2k28.2k

• databrickslabs/tempo

  API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

  Language:Jupyter Notebook30650

• Snowflake-Labs/sfguide-getting-started-snowpark-python

  Quickstart: Getting Started with Snowpark Python

  Language:Jupyter Notebook3249

• rfordatascience/tidytuesday

  Official repo for the #tidytuesday project

  Language:HTML6.7k2.4k

• paulgrigas/SmartPredictThenOptimize

  Code for the paper "Smart 'Predict, then Optimize'"

  Language:Julia6119

• chrischia06/AlgoTradingSimulatedPaths

  Mean-Variance Portfolio Optimisation and Algorithmic Trading Strategies in MATLAB

  Language:MATLAB3410

• shilewenuw/deep-learning-portfolio-optimization

  Language:Python6123