tgadvisory's Stars
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
RandomKori/Forex_statistics
Статистический анализ Форекс
PacktPublishing/Python-Data-Cleaning-Cookbook
Python Data Cleaning Cookbook, published by Packt
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
saritmaitra/Forex_VAR-VECM
atinesh-s/Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
Borye/machine-learning-coursera-1
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
suchak1/machine-learning-for-trading
Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading
suchak1/InsiderTrading
Looks up insider trading transactions in a date range
jcwill415/Stock_Market_Data_Analysis
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.
BirgerMoell/Momentum-AI-machine-learning-course
Momentum AI course in machine learning
Linjiayu6/Deep-Learning
[2020] Deep Learning / Coursera
richardzhouziji/Southeastern-Hedge-Fund-Competition
Quantitative strategy for Southeastern Hedge Fund Competition 2020
gwigniolle/Hedge-Fund-Replication
beachc15/Hedge_Fund_Analysis
American University of Paris - BA4020 Computational Finance - Final Project ---- An analysis tool of a hedge fund. What I hope to show with this project is less of conclusive results and more the ability to build scalable analytics tools in short periods of time and deploy them in an effective way.
arshpreet/Hedge-Fund-stock-market-analysis
Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat
CNIC92/beat-the-stock-market
Is it possible to find which stocks will perform well in the future by looking at past financial data?
PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python
datacamp/datacamp-community-tutorials
Tutorials for DataCamp (www.datacamp.com)
JFD3D/develop
generic project files
hkuhn/multifactor-models
A Survey of Multi-Factor Models
wangy8989/Pairs-Trading-with-Machine-Learning
Pair Trading Strategy using Machine Learning written in Python
goldmansachs/gs-quant
Python toolkit for quantitative finance
jwolberg/VIX-Futures-ETPs
Files related to VIX Futures ETPs
PyPatel/Options-Trading-Strategies-in-Python
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
gaurav1086/dl-algo-trader
Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning
santosjorge/cufflinks
Productivity Tools for Plotly + Pandas
PacktPublishing/Practical-Time-Series-Analysis
Practical Time-Series Analysis, published by Packt
PracticalTimeSeriesAnalysis/BookRepo
wesleyjtann/Deep-learning-course-CE7454-2018