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Top 23 Python algotrading Projects
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awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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InfluxDB
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awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. (by paperswithbacktest)
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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.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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example-scalping
A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
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wallstreetbets-sentiment-analysis
This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
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hft-ext
An extensible framework for high-frequency trading built on top of Alpaca and Yahoo Finance.
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Wizardry
💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架 (by ssantoshp)
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cira
Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.
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mquery
Algotrading toolkit using customizable strategies, genetic algorithms, and RNN-based strategies
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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.
Project mention: surpriver: Machine learning algo to detect anomaly in equities data. Uses sklearn [IsolationForest](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html) model and price/volume based technical signals as features us | /r/algoprojects | 2023-07-08
Project mention: algotrading: NEW Extended Research - star count:858.0 | /r/algoprojects | 2023-06-10
Python algotrading related posts
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pybroker: NEW Other Models - star count:1362.0
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hyperdrive: NEW Other Models - star count:108.0
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pybroker: NEW Other Models - star count:1362.0
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hyperdrive: NEW Other Models - star count:108.0
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pybroker: NEW Other Models - star count:1362.0
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hyperdrive: NEW Other Models - star count:108.0
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pybroker: NEW Other Models - star count:1362.0
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A note from our sponsor - InfluxDB
www.influxdata.com | 31 May 2024
Index
What are some of the best open-source algotrading projects in Python? This list will help you:
Project | Stars | |
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1 | vnpy | 23,685 |
2 | awesome-quant | 16,447 |
3 | quantstats | 4,384 |
4 | awesome-systematic-trading | 3,067 |
5 | blankly | 2,001 |
6 | surpriver | 1,703 |
7 | pybroker | 1,645 |
8 | algotrading | 1,025 |
9 | example-scalping | 728 |
10 | webull | 593 |
11 | fast-trade | 342 |
12 | wolfinch | 261 |
13 | pipeline-live | 203 |
14 | wallstreetbets-sentiment-analysis | 149 |
15 | hyperdrive | 138 |
16 | JackrabbitRelay | 71 |
17 | volatile | 64 |
18 | sample-trading-bot | 45 |
19 | hft-ext | 41 |
20 | Wizardry | 42 |
21 | cira | 27 |
22 | binance-spot-trading-bot | 7 |
23 | mquery | 6 |
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