uniswap-sushiswap-arbitrage-bot
awesome-quant
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| uniswap-sushiswap-arbitrage-bot | awesome-quant | |
|---|---|---|
| 3 | 18 | |
| 572 | 15,977 | |
| - | - | |
| 0.0 | 8.8 | |
| over 2 years ago | 4 days ago | |
| JavaScript | Python | |
| MIT License | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
uniswap-sushiswap-arbitrage-bot
- FREE PASSIVE INCOME SOURCE ARBITRAGE BOT!!!, but you have to help me with a couple of bugs.
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Making arbitrage between Uniswap V2 and Sushiswap (github repo)
Hey! I made a bot in JS to arbitrage Uniswap, its quiet well explained and includes an automated demo that runs over an mainnet fork so, you can see the bot in action -> https://github.com/6eer/uniswap-sushiswap-arbitrage-bot
- Making arbitrage between Uniswap V2 and Sushiswap
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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Iām 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?
pancakeswap-uniswap-sniping-bot - Pancakeswap and Uniswap sniping for beginners. DYOR and modify the code to your liking
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.
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
backtrader - Python Backtesting library for trading strategies
scaffold-eth - š forkable Ethereum dev stack focused on fast product iterations [Moved to: https://github.com/scaffold-eth/scaffold-eth]
CUDA.jl - CUDA programming in Julia.
Arbitrage-Bot-between-UniSwap-and-SushiSwap-with-FlashLoans
awesome-discord-communities - A curated list of awesome Discord communities for programmers
uniswapv3-sdk - š A Go SDK for building applications on top of Uniswap V3
Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.
heim - Cross-platform async library for system information fetching š¦
WorldQuant_alpha101_code - Code implementation of the Quantigic 101 Formulaic Alphas