stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
#计算机科学#Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
#区块链#Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post req...
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
#区块链#Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Quantitative MRI Made Easy with qMRLab: MRI software for data Simulation, analysis and visualization
本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码，带你零基础入门量化交易！
Java 实盘量化框架
#计算机科学#This repository hosts my reading notes for academic papers.
Repository for YouTube tutorial on how to run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.
C# TA library for real-time financial analysis, offering ~100 indicators. Available on NuGet, Quantower compatible. Ensures early validity of calculated data, calculation accuracy tested against four ...
Demonstrative examples for developing quantitative and systematic strategies
NSE is a rust cli binary and library for extracting real-time data from National Stock Exchange (India)
#算法刷题#🌿 (Help wanted) Live quant trading engine for Robinhood in Python 3, now with backtesting.
#算法刷题#Algorithmic trading application for use with Interactive Brokers
Python framework optimized for running backtests on multiple asset portfolios
A moment-free estimator of the Sharpe (signal-to-noise) ratio.
This course is available on Coursera, and here is my own note about this course. It is taught by University of Pennsylvania.