alexmscoggins's Stars
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
GoogleCloudDataproc/hadoop-connectors
Libraries and tools for interoperability between Hadoop-related open-source software and Google Cloud Platform.
databricks/spark-redshift
Redshift data source for Apache Spark
mfrdixon/ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
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.
dzitkowskik/StockPredictionRNN
High Frequency Trading Price Prediction using LSTM Recursive Neural Networks
databricks/delta-live-tables-notebooks
koenigm-seattleu/omsba5068-wq23
CharlesLoo/stock-pattern-recorginition
databricks-demos/dbdemos
Demos to implement your Databricks Lakehouse
jasonstrimpel/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
QuantConnect/Lean
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
jamesmawm/mastering-python-for-finance-second-edition
Sources codes for: Mastering Python for Finance, Second Edition
cuemacro/finmarketpy
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tatsath/fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
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
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
yacoubb/stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
grananqvist/Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
apache/spark
Apache Spark - A unified analytics engine for large-scale data processing
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
Snowflake-Labs/sfguide-getting-started-snowpark-python
Quickstart: Getting Started with Snowpark Python
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
paulgrigas/SmartPredictThenOptimize
Code for the paper "Smart 'Predict, then Optimize'"
chrischia06/AlgoTradingSimulatedPaths
Mean-Variance Portfolio Optimisation and Algorithmic Trading Strategies in MATLAB
shilewenuw/deep-learning-portfolio-optimization