quant-trading
hft-ext
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quant-trading | hft-ext | |
---|---|---|
147 | 4 | |
5,171 | 36 | |
- | - | |
0.0 | 0.0 | |
about 1 year ago | about 1 year ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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quant-trading
- quant-trading: NEW Derivatives and Hedging - star count:4620.0
- quant-trading: NEW Derivatives and Hedging - star count:4455.0
- quant-trading: NEW Derivatives and Hedging - star count:4361.0
- quant-trading: NEW Derivatives and Hedging - star count:4296.0
- quant-trading: NEW Derivatives and Hedging - star count:4076.0
- quant-trading: NEW Derivatives and Hedging - star count:3983.0
hft-ext
- Show HN: An Open-Source Tool to Build, Test, and Deploy Stock-Trading Algorithms
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I made an open-source tool to build, test, and deploy algotrading strategies
Hi everyone,
TL;DR: Check out the tool at https://github.com/Finned-Digital-Solutions/hft-ext! Feel free to drop a ! Or just join the Discord: (see repo Discord badge on GitHub for link), your choice.
I'm Finn - a Pythonista, part-time algotrader, and open-source enthusiast. Recently, I've built an open-source tool which allows anyone to get started algotrading on a paper or live account for free. The tool includes everything you need to get started with aggregating and analyzing data through the Yahoo Finance and Alpaca APIs, and on top of that is completely free! It supports new strategies in an easily extensible way, meaning that you can get your own strategies up, running, and tested in just minutes.
My goal was initially to test out some high frequency trading strategies that I came up with, but along the way I realized that I could add methods on to support any custom strategy. Now that I feel confident with the documentation I've written, the code, and the GUI, I want to
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I made an open-source tool to build, test, and deploy algotrading strategies!
TL;DR: Check out the tool at https://github.com/Finned-Digital-Solutions/hft-ext! Feel free to drop a ⭐! Or just join the Discord: (see repo Discord badge on GitHub for link), your choice.
What are some alternatives?
qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
cira - Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.
optopsy - A nimble options backtesting library for Python
blankly - 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.
fcore - Fcore Is an AI Framework for Financial Markets Analysis (Active Development).
WorldQuant_alpha101_code - Code implementation of the Quantigic 101 Formulaic Alphas
awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
trading_strategies - my Algo Trading Strategies
financial-machine-learning - A curated list of practical financial machine learning tools and applications.
awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]
eiten - Statistical and Algorithmic Investing Strategies for Everyone