基于Python的开源量化交易平台开发框架
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Updated
Sep 5, 2021 - C++
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基于Python的开源量化交易平台开发框架
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
QTPyLib, Pythonic Algorithmic Trading
Find big moving stocks before they move using machine learning and anomaly detection
Common financial technical indicators implemented in Pandas.
Portfolio analytics for quants, written in Python
Detects arbitrage opportunities across 131 cryptocurrency exchanges in 50 countries
Please read through the references below and feel free to ask for help in the issues or slack channel!
Tutorials on the fastquant website:
https://enzoampil.github.io/fastquant-blog/
fastquant example notebooks:
https://nbviewer.jupyter.org/github/enzoampil/fastquant/tree/master/examples/
**Intro t
Kotlin(Java)开源量化交易开发框架
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI
]
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
Algorithmic trading framework for cryptocurrencies.
Unofficial APIs for Webull.
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
WonderTrader——量化研发交易一站式框架
Alpaca Trading API integrated with backtrader
Quantitative analysis, strategies and backtests
a light-weighted, integrated trading/backtesting system/platform(综合量化交易回测系统/平台)
ezIBpy, a Pythonic Client for Interactive Brokers API
A stream-based approach to algorithmic trading and backtesting in Node.js
Automated cryptocurrency trading on Coinbase Pro (formerly gdax-trader)
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Pipeline Extension for Live Trading
Коннектор к торговому терминалу ARQA QUIK (Квик), который делает доступным весь функционал QLUA из .NET (C#)
Wolfinch is your friendly trader Bot written in Python
This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
A place to publish notes, examples, etc.
This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
Add a description, image, and links to the algotrading topic page so that developers can more easily learn about it.
To associate your repository with the algotrading topic, visit your repo's landing page and select "manage topics."
Some suggestions to make it easier to run the backend without the front end. Some of these suggestions might be *ix only: