sjdKRM/EPAT
Executive Programme in Algorithmic Trading by QuantInsti
This collection of projects helps traders and quantitative analysts learn and apply algorithmic trading strategies. It takes raw financial data and market concepts, and through practical examples, shows how to develop, backtest, and optimize automated trading systems. Aspiring or current algorithmic traders and quantitative finance professionals would find this useful for hands-on learning.
No commits in the last 6 months.
Use this if you are an individual aiming to specialize in financial markets, data analysis, and quantitative strategies, looking for practical examples of algorithmic trading.
Not ideal if you are looking for a ready-to-use trading bot or a complete, plug-and-play solution for live trading.
Stars
9
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/sjdKRM/EPAT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
bbfamily/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
zvtvz/zvt
modular quant framework.
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
mgroncki/IPythonScripts
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio...
microsoft/qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant...