FAIG
awesome-quant
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FAIG | awesome-quant | |
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2 | 18 | |
144 | 15,910 | |
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3.1 | 8.2 | |
3 months ago | 4 days ago | |
Python | Python | |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
FAIG
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Ask HN: How did you get started with trading
In the past, I was heavily involved in retail trading, navigating the financial waves manually. The realization that I could automate my trading strategies was a game-changer. Eager to optimize my workflow, I dove headfirst into learning Python in a more detailed way and began crafting my trading tools.
This led me to create FAIG, which you can explore here: https://github.com/tg12/FAIG
To my surprise, it gathered momentum on Reddit. But take it from me, a lot of the chatter on algotrading is mere noise rather than insightful wisdom.
But FAIG is not my only creation. I have a treasure trove of other coding repositories where I occasionally unveil some of my custom trading scripts. You can check out one of these at https://github.com/tg12/hft_sig_trend
Remember, the key is to strategize and then automate. Bring precision and efficiency to your trading.
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Data on a trading algo I have been working on
Using a slightly modified version of FAIG that I found on Github and a few other public API's I have been working on this. Minor tweaks along the way.
awesome-quant
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RustQuant: A Library for Quantitative Finance
No, it looks more like a Rust equivalent of libraries like ffn (financial functions for python) or many of the other ones listed here https://github.com/wilsonfreitas/awesome-quant
Using rust to do exploratory analysis in python seems like a misguided idea. But using rust to productize models that have performance and accuracy sensitivities, the things that C/C++ is still used for, indeed sounds like a good idea.
Most of the python libraries used in finance, like numpy/pandas, call out to C for performance reasons; the libraries are essentially python bindings + syntax to C functions. It would be interesting to think about replacing that backend with rust.
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Open Source Projects
This is a good list https://github.com/wilsonfreitas/awesome-quant
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I’m not a Quant, but a Headhunter - ask me anything
also, what are the best quanty python packages that you like to see an applicant use? there are so many. https://github.com/wilsonfreitas/awesome-quant
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Why building profitable trading bot is hard?
If the financial analyst does not have a (possibly piecewise) software function to at least test with backtesting and paper trading, do they even have an objective relative performance statistic? Your notebook or better should also model fees and have a parametrizable initial balance.
Here's the awesome-quant link directory: https://github.com/wilsonfreitas/awesome-quant
- For Traders Who Want To Be Quants
- A curated list of libraries, packages and resources for Quants
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Hacker News top posts: Feb 22, 2022
A curated list of libraries, packages and resources for Quants\ (0 comments)
What are some alternatives?
LiuAlgoTrader - Framework for algorithmic trading
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.
Kelp - Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges
backtrader - Python Backtesting library for trading strategies
robin_stocks - This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at
uniswap-sushiswap-arbitrage-bot - Two bots written in JS that uses flashswaps and normal swaps to arbitrage Uniswap. Includes an automated demostration.
algotrading - Algorithmic trading framework for cryptocurrencies.
CUDA.jl - CUDA programming in Julia.
TradingGym - Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
awesome-discord-communities - A curated list of awesome Discord communities for programmers
jesse - An advanced crypto trading bot written in Python
Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.