noke8868,github

-chanlun

文件笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

a-multi-layer-and-multi-ensembled-stock-trader-using-deep-learning-and-deep-reinforcement-learning

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

agent-trading-deep-evolution-strategy

Python script to train an agent training base on deep evolution strategy learning

ai-research-keyphrase-extraction

EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings (official implementation)

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

alpha

因子构建、单因子测试

alphaai

Use unsupervised and supervised learning to predict stocks

arbitragerepair

Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.

arimaannhybrid

Comparisons of ARIMA , ANN and a Hybrid model for Timeseries forecasting

artificialintelligence2013spring

ArtificialIntelligence2013Spring

ashare

股票行情实时数据接口-A股,完全免费的沪深证券股票数据-**股市,python最简封装的API接口,包含日线,历史K线,分时线,分钟线,全部实时采集，系统包括新浪腾讯双数据核心采集获取，自动故障切换，STOCK数据格式成DataFrame格式,可用来查询研究量化分析，股票程序自动化交易系统.为量化研究者在数据获取方面极大地减轻工作量，更加专注于策略和模型的研究与实现。

asset-portfolio-management-usingdeep-reinforcement-learning-

This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.

audio-sentiment-analysis

This repository consists of work done to analyse sentiment of a customer in a conversation with a call center agent using various machine learning algorithms and audio features.