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qcyfred's Projects

-chanlun icon -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!

alphatrading icon alphatrading

An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.

arctic icon arctic

High performance datastore for time series and tick data

btctrading icon btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

featuretools icon featuretools

An open source python library for automated feature engineering

fin-ml icon fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

fracdiff icon fracdiff

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

fsi-samples icon fsi-samples

A collection of open-source GPU accelerated Python tools and examples for quantitative analyst tasks and leverages RAPIDS AI project, Numba, cuDF, and Dask.

go-trader icon go-trader

financial exchange written in Go, designed for algorithmic trading tests

lean icon lean

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

mlflow icon mlflow

Open source platform for the machine learning lifecycle

ndscheduler icon ndscheduler

A flexible python library for building your own cron-like system, with REST APIs and a Web UI.

open_source_demos icon open_source_demos

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

orbiter icon orbiter

Open-source repository of Orbiter Space Flight Simulator

ta icon ta

Technical Analysis Library using Pandas and Numpy

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