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Name: Dean Smith
Type: User
Company: Stonehenge Financial Partners
Name: Dean Smith
Type: User
Company: Stonehenge Financial Partners
A python wrapper for Alpha Vantage API for financial data.
Performance analysis of predictive (alpha) stock factors
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
Content for Udacity's AI in Trading NanoDegree.
🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.
Researches for Natural Language Processing for Financial Domain
Code to replicate the Bali, Subrahmanyam and Wen (2021) JFQA paper.
Problem description A financial institution news agency has collected 3000 news articles that relates to several matters of financial importance. Before analyzing these unlabeled news, it is only fair to try to partition them into some sort of logical groupings based on their similarities. Your task is to use appropriate unsupervised machine learning algorithm to form the news clusters based on their similarity. Prior to clustering it is recommended to perform basic natural language processing steps such as stemming, tokenization and word vectorization for best results. Notes to keep in mind: There are no duplicate rows in the dataset. Cluster number should start from 0. Data Description There is only one file news.csv that contains date, headlines and text of the news. Column Description id The unique id of the news headline The headline of the news in text text The body of the news in tex
Repository with content for Course Students
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Source code for the blog post on the evolution of the asset allocation methods
Common financial risk and performance metrics. Used by zipline and pyfolio.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
A curated list of practical financial machine learning (FinML) tools and applications in Python.
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
This is the implementation for Hierarchical Risk Parity approach to portfolio optimization
Introducing neural networks to predict stock prices
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.