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。
Developing Options Trading Strategies using Technical Indicators and Quantitative Methods
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。
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 request to automate trading and order placement. Supports Binance and Okex exchanges.
Framework for developing, backtesting, and deploying automated trading algorithms and trading bots.
Repository for YouTube tutorial on how to run MetaTrader5 + VNC + Python Flask API in a Docker Container on a Linux server.
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!
一个基于日线数据和专业算法的ETF网格交易策略参数设计工具,帮助投资者科学制定网格交易策略。
Java 实盘量化框架
This repository hosts my reading notes for academic papers.
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 TA libraries.
Demonstrative examples for developing quantitative and systematic strategies
A quantitative trading strategy backtester with an interactive dashboard. Enables users to implement, test, and visualise trading strategies using historical market data, featuring customisable parameters and key performance metrics. Developed with Python and Polars.
NSE is a rust cli binary and library for extracting real-time data from National Stock Exchange (India)
Python framework optimized for running backtests on multiple asset portfolios
🌿 (Help wanted) Live quant trading engine for Robinhood in Python 3, now with backtesting.
This course is available on Coursera, and here is my own note about this course. It is taught by University of Pennsylvania.
Algorithmic trading application for use with Interactive Brokers
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