Top 23 Python Trading Projects
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Project mention: Backtrader looks good but I am having a problem | reddit.com/r/algotrading | 2022-05-16
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Project mention: TikTokers Are Trading Stocks By Copying What Members Of Congress Do | reddit.com/r/nottheonion | 2021-09-22
This article is kind silly. The disclosures are delayed. What is probably more relevant is this bot. I don't endorse it nor have never run it. But it's an interesting concept
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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hummingbot
Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain
Find out more at https://hummingbot.org or follow on Twitter.
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Crypto-Signal
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
Step 2: create trading signals that will signal you when go long/short, u have also alot of open source repos for that, like: https://github.com/CryptoSignal/Crypto-Signal
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Here’s the repo for those that are interested: https://github.com/jesse-ai/jesse
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mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Project mention: mlfinlab: open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data s | reddit.com/r/algoprojects | 2022-05-14 -
pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Project mention: Predição de ações na bolsa de valores com Python e Facebook Prophet | dev.to | 2022-03-23Pandas T.A: Biblioteca Pandas para análise técnica.
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Hey, love the learning attitude! Some things to consider include (how are you actually going to write your code). If you want to spend more time experimenting with a signal (which with your background, seems like you do), try using a framework out there like backtesting.py, backtrader, or blankly (the last one is my favorite because I'm able to actually deploy live in one line whereas the others don't). These frameworks have built-in backtesting, data connections, etc. that should help you speed your dev up.
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Project mention: If anyone is looking to get into Trading bots, I created this fairly easy to follow guide for how to set up a Freqtrade from scratch. Including all the server commands you need to get up and running. | reddit.com/r/CryptoCurrency | 2021-09-09
This is the official word on that from the discord "REMINDER: Basic strategies to get you started with developing your own strats - these aren't for live use! https://github.com/freqtrade/freqtrade-strategies"
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vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Project mention: Why Building a Trading Algorithm is More Than Just the Algorithm - 3 Things | dev.to | 2022-02-19It’s super easy to get up and running with code. With the rise of data science as a field, datasets are far and wide. Accessible from just about any venue. Take a look at Kaggle, QuiverQuant, Yahoo Finance, or even directly from the brokerages and exchanges. Developers can easily download data directly as a .csv or .json and quickly get up and running by utilizing frameworks like backtesting.py or vectorbt. “Great, it seems like I can get up and running and I’ll have an awesome money making trading algorithm in no time”.... unfortunately, wrong. Why is this wrong? Well, simulation is NOT the real world. The real world is not a CSV file—the real world is a stream of events. Cause and effect. The real world works in a fashion where new data comes in, you make a decision, and then you figure it out, not “I have all of this data, let me run this all through time and figure it out”. Indeed, the data sources that you get in real-time are almost completely different from the data sources you use in simulation. Rather than .csv you use WebSockets; rather than QuiverQuant you use APIs; rather than backtesting frameworks you use more robust, event driven packages. Without it, you’re stuck duplicating code, rewriting it into an event-based system, and ultimately using that to go into production, and who knows if your code is going to change along the way.
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Project mention: I made an outstanding personal portfolio (in my opinion) that I want to put money into. So why isn't there a Robo investor that you put money into and takes care of this for you? | reddit.com/r/PersonalFinanceCanada | 2022-02-03
It depends on you programming ability. Ibinsync is a good wrapper for their API though.
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My question is, when does the order expire, if ever? The documentation is pretty sparse -- https://github.com/danpaquin/coinbasepro-python .
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OctoBot
Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface
Project mention: OctoBot: Cryptocurrency trading bot for TA, arbitrage and social trading with an advanced web interface | reddit.com/r/CryptoCurrency | 2022-04-09 -
Binance-News-Sentiment-Bot
This is a fully functioning Binance trading bot that takes into account the news sentiment for the top 100 crypto feeds. If you like this project consider donating though the Brave browser to allow me to continuously improve the script.
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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 | reddit.com/r/algoprojects | 2022-04-23
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Project mention: What broker/platform do you like to use for your trading? | reddit.com/r/algotrading | 2022-03-31
I ended up switching to using alpaca_trade_api library and it takes all the headache of all that. Here’s the documentation: https://github.com/alpacahq/alpaca-trade-api-python
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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
Project mention: robin_stocks: NEW Derivatives and Hedging - star count:1292.0 | reddit.com/r/algoprojects | 2022-05-23 -
Project mention: Scikit-learn Stock Prediction: using fundamental and pricing data to predict future stock returns. Sklearn's randomforest classifier is trainded and author claimed positive live trading results. Not actively mainained Other Models - star count:1144.0 | reddit.com/r/algoprojects | 2022-02-05
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Project mention: Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:1215.0 | reddit.com/r/algoprojects | 2022-05-23
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gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Project mention: reinforcement learning in finance and trading | reddit.com/r/reinforcementlearning | 2022-05-08 -
tda-api
A TD Ameritrade API client for Python. Includes historical data for equities and ETFs, options chains, streaming order book data, complex order construction, and more.
Project mention: tda-api: NEW Derivatives and Hedging - star count:979.0 | reddit.com/r/algoprojects | 2022-05-21
Python Trading related posts
- robin_stocks: NEW Derivatives and Hedging - star count:1292.0
- robin_stocks: NEW Derivatives and Hedging - star count:1292.0
- tda-api: NEW Derivatives and Hedging - star count:979.0
- tda-api: NEW Derivatives and Hedging - star count:979.0
- tda-api: NEW Derivatives and Hedging - star count:979.0
- tda-api: NEW Derivatives and Hedging - star count:979.0
- tda-api: NEW Derivatives and Hedging - star count:979.0
Index
What are some of the best open-source Trading projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | backtrader | 8,729 |
| 2 | trump2cash | 6,102 |
| 3 | hummingbot | 4,171 |
| 4 | Crypto-Signal | 3,989 |
| 5 | jesse | 3,906 |
| 6 | mlfinlab | 2,949 |
| 7 | pandas-ta | 2,492 |
| 8 | backtesting.py | 2,437 |
| 9 | freqtrade-strategies | 2,003 |
| 10 | vectorbt | 1,917 |
| 11 | ib_insync | 1,803 |
| 12 | coinbasepro-python | 1,732 |
| 13 | finta | 1,566 |
| 14 | OctoBot | 1,559 |
| 15 | Binance-News-Sentiment-Bot | 1,482 |
| 16 | surpriver | 1,450 |
| 17 | cryptofeed | 1,357 |
| 18 | alpaca-trade-api-python | 1,353 |
| 19 | robin_stocks | 1,290 |
| 20 | MachineLearningStocks | 1,194 |
| 21 | Riskfolio-Lib | 1,183 |
| 22 | gym-anytrading | 1,060 |
| 23 | tda-api | 985 |
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