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Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance of predictions.
Mostly experiments based on "Advances in financial machine learning" book
Scripts for algo trading for upstox apis
This is code base for a trading robot using Zerodha Kite Connect API and python
Using the Zerodha KiteConnect API platform to build an algorithmic market/exchange trading program template.
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
A repository to study predictive modelling of the ASX financial market
AutoTrader
🔬 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.
List of awesome resources for machine learning-based algorithmic trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
Deep Adaptive Input Normalization for Time Series Forecasting
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Building Decision Trees From Scratch In Python
Stock for Deep Learning and Machine Learning
Hands-on Deep Reinforcement Learning, published by Packt
A tutorial demonstrating how to implement deep learning models for time series forecasting
Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management - DeepPocket
Deep Learning Statistical Arbitrage
Dynamic Boltzmann Machines
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
A curated list of practical financial machine learning (FinML) tools and applications in Python.
Rapid large-scale fractional differencing to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
Using Machine Learning for live currency trading
Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction
A toolkit for developing and comparing reinforcement learning algorithms.
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
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.