jingmouren Goto Github PK

stock-selection-a-framework

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

stock-trading-environment

A custom OpenAI gym environment for simulating stock trades on historical price data.

stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

stock-unsupervised-features

Stock Market Prediction Using Unsupervised Features

stock.ai

This project tries to use AI, specifically reinforcement learning, to manage a stock portfolio. The objective is to be practical. So this is not only a demo of AI application in investment. This project is still at its early days. I will try to complete it in 1 year.

stock2vec

Embedding stocks to vectors based on the price history

stock_analysis_for_quant

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

stock_cnn_blog_pub

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

stock_market

stock_mom_strategy

A two-factor model for futures investment

stock_predict_with_lstm

Predict stock with LSTM supporting pytorch, keras and tensorflow

stockalgorithm

A profitable mean reversion stock trading algorithm

stockchart

StockChart是一款高扩展性、高性能的股票图开发库，轻松完成各种子图的组合，还能灵活的定制自己的子图满足复杂的业务需求。

stockholm

一个股票数据（沪深）爬虫和选股策略测试框架

stockindex500

Trend Prediction for High Frequency Trading

stocknet-code

Code for stock movement prediction from tweets and historical stock prices.

stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

stockpractice

股票实盘操作训练代码及记录

stockprediction_cnn

Uisng CNN to predicte stock market trend, and feeding with 2D images

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

stocks-pattern-analyzer

This tool should help discover different patterns based on similarity measures in historical (financial) data

stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

stocktupoui

realtime subscribe the stock tupo info

stpm_anomaly_detection

Unofficial pytorch implementation of Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection

strategy

strategy-ml-dl

机器学习算法在策略上的应用

stream-learn

The stream-learn is an open-source Python library for difficult data stream analysis.

stride

Solver for Large-Scale Rank-One Semidefinite Relaxations

string-embed

😆 string embed for fast edit distance computation, codes for [Convolutional Embedding for Edit Distance (SIGIR 20)](https://arxiv.org/abs/2001.11692).