PyQuant News 🐍
PyQuant News 🐍

@pyquantnews

8 Tweets 3 reads Dec 07, 2022
Python has unlocked algorithmic trading for all traders and investors.
But getting started can feel impossible.
PyQuant News has been curating the best quant resources on the internet since 2015 for professionals and beginners alike.
Here's 5 you need to read today:
Rapidly Build and Deploy Quantitative Models for Stocks, Crypto, and Forex
What is it: Code
Blankly is a live trading engine, backtest runner and development framework wrapped into one powerful open source package.
github.com
Mining Financial Stock News Using SpaCy Matcher
What is it: How To
Learn how to write an information extraction NLP pipeline using spaCy to extract dividend information from news headlines and articles.
newscatcherapi.com
Algorithmic Trading Using Logistic Regression
What is it: How To
This walk-through provides an automated process (using python and logistic regression) for determining the best stocks to trade.
handsoffinvesting.com
Coding a Python Stock Trading bot with Alpaca
What is it: How To
Use the Alpaca API to build a stock trading bot in Python.
youtube.com
Building an ML Trading System That Turned $5K Into $200K
What is it: Lessons Learned
Reflections on building an automated system that turned a $5k investment into $200k over a 12 month period.
tradientblog.com
TL;DR
• Returning 40x using an automated system
• Automate an Alpaca trading bot
• Mining news for trading signals
• Logistic regression for trading
• Deploy automated strategies
PyQuant News is the best place for resources for developers using Python for scientific computing and quantitative analysis.
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