FAIG
awesome-quant
Our great sponsors
FAIG | awesome-quant | |
---|---|---|
2 | 18 | |
144 | 15,828 | |
- | - | |
3.1 | 8.2 | |
2 months ago | 6 days ago | |
Python | Python | |
- | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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
-
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.
awesome-quant
-
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.
-
Hacker News top posts: Feb 22, 2022
A curated list of libraries, packages and resources for Quants\ (0 comments)
- What is the best programming language to use to create a high performance backtesting framework?
-
All about ALGO TRADING [ Quantitative Analysis + Backtesting Algorithm ]
For folks who are interested in buring time with quant, refer to, https://github.com/wilsonfreitas/awesome-quant
- Are there any github repositories or other sources with old trading strategies?
- What open source frameworks should i be considering for hobby algo trading?
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.
backtrader - Python Backtesting library for trading strategies
uniswap-sushiswap-arbitrage-bot - Two bots written in JS that uses flashswaps and normal swaps to arbitrage Uniswap. Includes an automated demostration.
awesome-discord-communities - A curated list of awesome Discord communities for programmers
CUDA.jl - CUDA programming in Julia.
Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.
WorldQuant_alpha101_code - Code implementation of the Quantigic 101 Formulaic Alphas
tdameritrade-matlab-api - TD Ameritrade API for MATLAB
akshare - AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 [Moved to: https://github.com/akfamily/akshare]
bt - bt - flexible backtesting for Python
quant-trading - Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.