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Name: Mont Shasta Corp
Type: User
Name: Mont Shasta Corp
Type: User
Neural Architecture Optimization
NeuralProphet: A simple forecasting package
Building a population of models that trade crypto and mutate iteratively
A Python toolbox for performing gradient-free optimization
Uses Hierarchical Temporal Memory to predict the price of RLG based on historical data
KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Gym for multi-agent reinforcement learning
an intelligent portfolio investment system for Chinese stock based on machine learning and fuzzy time series.
ML model for stock trend prediction using Python
PROPhet based Otimized stock portPOLio
DQN - Deep Q network for stock trading
A pure NumPy / CuPy implementation of Capsule Networks
A library for answering questions using data you cannot see
GANs for time series generation in pytorch
A utility to train pytorch models
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
QTPyLib, Pythonic Algorithmic Trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
The work aims to explore Value based, Deep Reinforcment Learning (Deep Q-Learning and Double Deep Q-Learning) for the problem of Optimal Trade Execution. The problem of Optimal Trade Execution aims to find the the optimal "path" of executing a stock order, or in other words the number of shares to be executed at different steps given a time constraint, such that the price impact from the market is minimised and consequently revenue from executing a stock order maximised.
Research paper attempt to improve stock market forecasting
Deep Reinforcement Learning For Trading
An RL model that uses double deep Q learning to generate an optimal policy of stock market trades
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Use NLP to predict stock price movement associated with news
Sentiment Analysis of news on stock prices
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
SpatialLOB is designed for stock price movement prediction by exploiting spatial and temporal properties of the Limit Order books. SpatialLOB consists of a deep network combining CNN and Stacked GRU.
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.