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Top 23 Python trading-algorithm 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
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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
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backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
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pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
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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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
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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
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AutoTrader
A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
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crypto-rl
Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent
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Binance-Futures-Trading-Bot
A Technical Analysis Bot that trades leveraged USDT futures markets on Binance.
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py-market-profile
A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
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stock-bot
An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.
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automating-technical-analysis
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
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trading-strategy
Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges
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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: quant-trading: NEW Derivatives and Hedging - star count:4620.0 | /r/algoprojects | 2023-10-28
We chose backtesting.py for a backtesting framework. There are several to choose from but that one seems like the most well-supported and actively worked on at the moment.
I do not know what is the difference between MACD and MACDFIX but maybe you can take a look how MACD is implemented in pandas_ta library and modify it a bit to achive a behavior you want.
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
Project mention: crypto-rl: Retrieve limit order book level data from coinbase pro and bitfinex -> record in [arctic](https://github.com/man-group/arctic) timeseries database then implemented trend following strategies (market orders) and market making (limit orders) | /r/algoprojects | 2023-12-10
Project mention: example-hftish: NEW Extended Research - star count:604.0 | /r/algoprojects | 2023-05-27
Project mention: Trading Environment for Reinforcement Learning - Documentation available | /r/quant | 2023-04-25Documentation | GitHub repo
Project mention: automating-technical-analysis: NEW Data - star count:117.0 | /r/algoprojects | 2023-06-05
Python trading-algorithms related posts
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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A note from our sponsor - WorkOS
workos.com | 25 Apr 2024
Index
What are some of the best open-source trading-algorithm projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | awesome-quant | 15,910 |
2 | jesse | 5,233 |
3 | quant-trading | 5,171 |
4 | backtesting.py | 4,797 |
5 | pandas-ta | 4,732 |
6 | awesome-systematic-trading | 2,893 |
7 | eiten | 2,655 |
8 | gym-anytrading | 2,015 |
9 | surpriver | 1,672 |
10 | robin_stocks | 1,615 |
11 | algotrading | 993 |
12 | AutoTrader | 849 |
13 | crypto-rl | 799 |
14 | example-hftish | 719 |
15 | lumibot | 688 |
16 | LiuAlgoTrader | 667 |
17 | Binance-Futures-Trading-Bot | 491 |
18 | py-market-profile | 330 |
19 | stock-bot | 284 |
20 | wolfinch | 258 |
21 | Gym-Trading-Env | 225 |
22 | automating-technical-analysis | 216 |
23 | trading-strategy | 154 |
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