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systemtrader's Projects

isaactrade icon isaactrade

以撒股票交易/下单接口,基于第三方交易软件的插件式微服务接口。

jaqs-fxdayu icon jaqs-fxdayu

jaqs-fxdayu:股票多因子策略研究和分析框架jaqs拓展包

jqdatasdk icon jqdatasdk

简单易用的量化金融数据包(easy utility for getting financial market data of China)

jxquant icon jxquant

该库主要分享“匠芯量化”公众号内的策略源码,更多策略细节请关注微信公众号:“匠芯量化”(微信搜索公众号“jxquant”)。

kafka-influxdb icon kafka-influxdb

High performance Kafka consumer for InfluxDB. Supports collectd message formats.

kalmanfilter icon kalmanfilter

This project is the use of Kalman filter in estimating stock betas

kitchensink-ml icon kitchensink-ml

Machine learning strategy that trains the model using "everything and the kitchen sink": fundamentals, technical indicators, returns, price levels, volume and volatility spikes, liquidity, market breadth, and more. Runs in Moonshot. Utilizes data from Sharadar and IB.

knn-for-pattern-recognize- icon knn-for-pattern-recognize-

KNN形态识别 股票形态识别(如W双底)用图像识别的方法准确率高但速度慢(因要画图),用K-近邻方法以数值型数据计算快准确率基本符合要求(查准率70%左右),可用于对决策时间有要求的交易。 工作完成情况: 1、W双底识别模型查准确率约70% 2、模型文件上载到聚宽后可在回测中调用。

lean icon lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

lstm-for-price-prediction icon lstm-for-price-prediction

算法根据单个板块或单只股票的历史数据判断板块指数或个股次日收盘价信息,得到相应的调仓对策。可回归(预测具体价格)可分类(预测涨跌)。 长短期记忆模型(LSTM)是循环神经网络(RNN)的一种,每个输入样本都是一个序列(如某板块20天的四价一量)用这个序列预测结果。它认为某些指标长期的趋势对预测值有影响,有些无影响,让神经元控制短期记忆和长期记忆,克服了实践中时间越长影响参数越小的问题。

mattest icon mattest

Matlab Algo-trading Backtest System

mfann icon mfann

Matlab bindings for the Fast Artificial Neural Network Library

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