awesome-quant
tdameritrade-matlab-api
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| awesome-quant | tdameritrade-matlab-api | |
|---|---|---|
| 18 | 1 | |
| 15,977 | 7 | |
| - | - | |
| 8.8 | 0.0 | |
| 3 days ago | about 3 years ago | |
| Python | MATLAB | |
| - | GNU General Public License v3.0 only |
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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)
tdameritrade-matlab-api
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.
IEX-API - The IEX API provides any individual or academic, public or private institution looking to develop applications that require stock market data to access near real-time quote and trade data for all stocks trading on IEX.
backtrader - Python Backtesting library for trading strategies
StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
uniswap-sushiswap-arbitrage-bot - Two bots written in JS that uses flashswaps and normal swaps to arbitrage Uniswap. Includes an automated demostration.
cfdtool - CFDTool - An easy to use OpenFOAM / SU2 / CFD simulation toolbox
CUDA.jl - CUDA programming in Julia.
cira - Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.
awesome-discord-communities - A curated list of awesome Discord communities for programmers
Programming-A-Starter-Project-Using-MATLAB-and-Python - A scaffolded project involving pulling and installing a Live Task and using MATLAB and Python in combination to access and analyze data from the OpenWeather web API.
Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.
pybroker - Algorithmic Trading in Python with Machine Learning