quanttrade Goto Github PK

q_learning_trading

create a learning agent using Q-learning

rasa-nlu-benchmark

Collection of dataset and corresponding benchmark for Rasa NLU

ratingportal

refactored-robot

Stock Price Predictor is a web application that allows users to predict stock prices

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

research

Contains all the Jupyter Notebooks used in our research.

research_public

Quantitative research and educational materials

risk-models

Risk estimation algorithms

riskim

Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction

rl-trading

rl_markets

Market Making via Reinforcement Learning

rl_trading

An environment to high-frequency trading agents under reinforcement learning

robo-advisor-notes

《智能投顾》读书笔记

ruihui-intern

Ruihui Intern

sentiment-analysis-in-event-driven-stock-price-movement-prediction

Use NLP to predict stock price movement associated with news

sgx-full-orderbook-tick-data-trading-strategy

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

stock

stock，股票系统。使用python进行开发。

stock-market-structure_without_spark

stock-prediction-portfolio-optimization

A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.

stock-price-prediction-model

Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.

stock-selection-a-framework

This project demonstrates how to apply machine learning algorithms to distinguish "good" stocks from the "bad" stocks.

stock_analysis_for_quant

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

stock_market_sentiment_analysis

股市情感分析

stockforecast

:dart: predict the price trend of individual stocks using deep learning and natural language processing

stocklit

stockprice_modeldeployment_streamlit

Deploying model For prediction of Stock Price by using Streamlit.

stockrecommend

xgboost 股票推荐

stockscreener_streamlit

Powerful Stock Screener App written in python using Streamlit

stockswingpredictor

The Stock Swing Predictor (SSP) is a tool that will predict stock price swings using 7 different machine learning models. Implemented as a part of my Allegheny College Senior Thesis.