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PyQuant News 🐍 Profile picture
@pyquantnews
Oct 7, 2024 • 10 tweets • 3 min read • Read on X
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A Bloomberg Terminal costs $30,000 per year.

Unaffordable for 99.9% of us.

Reserved for the Wall Street elite to outfox the normal investor.

OpenBB just dropped the $0 cost replacement.

Get 405 free data sources and an AI Copilot.

The 90-second step-by-step guide: OpenBB Terminal Pro
In case you're unfamiliar:

OpenBB is the first AI financial terminal that combines data integration with an AI agent to transform investment research.

• Private (your data is not shared)
• 100s of free data sources
• Custom data backends
• Advanced AI Copilot

How it works:
Set up a custom, local data server with 370 sources of free market data.

No coding required (just double click an icon):
Once the data server is running, add it to the dashboard.

Here's how to do it:
OpenBB's AI copilot can use any data to answer your questions.

Wondering about the crude oil futures curve?

OpenBB Copilot has an answer:
Can't get through the day's news?

OpenBB Copilot can summarize the top news in a single paragraph:
Use pre-built dashboard templates to make your analysis workflow even quicker:
OpenBB Terminal Pro uses the same charts as TradingView.

Get incredible charting capabilities in the same place as your fundamental, news, and economic data:
Select data in a table and generate plots in two clicks.

Then, ask the OpenBB AI Copilot what happened.

Wondering about the trend in Apple's earnings?

Plot it and ask AI:
OpenBB Terminal Pro comes with a simple double-click installation file.

No more virtual environments.

No more dependency hell.

Double click and go: Double click to install

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More from @pyquantnews

PyQuant News 🐍 Profile picture
Nov 17
Some market data costs $1,400 per month.

The oil that makes the world's financial markets operate.

Unaffordable for 99% of us.

A profit center for countless Wall Street firms.

Fight back.

Here are the 12 Python libraries that give it to you free:
yfinance

Data for stocks (historic, intraday, fundamental), FX, crypto, and options. Uses Yahoo Finance so any data available through Yahoo is available through yfinance.

github.com/ranaroussi/yfi…
pandas-datareader

pandas-datareader used to be part of the pandas project. Now an independent project. Includes data for stocks, FX, economic indicators, Fama-French factors, and many others.

pandas-datareader.readthedocs.io/en/latest/
Read 16 tweets
PyQuant News 🐍 Profile picture
Oct 26
Algorithmic trading is the domain of secretive hedge funds and banks.

Python unlocked these secrets for everyone (even Goldman Sachs has an open-source tool).

Use the same tools the professionals use.

Here are 17 Python libraries that open the black box: Image
OpenBB

Workspace for investment research for everyone.

github.com/OpenBB-finance…
PyQL

QuantLib's Python port.

github.com/enthought/pyql
Read 21 tweets
PyQuant News 🐍 Profile picture
Sep 6
In the age of AI, Jupyter Notebook is the most powerful tool Python developers have.

But most people don’t know the hidden features.

Need a quick web app?

Or create REST APIs?

Here are the 6 ways to use Jupyter Notebook (you never knew existed): The notebook to rule them all.
Jupyter Notebook is a web app for creating and sharing computational documents.

When I say powerful, here's what I mean:

• It supports 40 languages
• Produces rich, interactive output
• Leverages big data tools like Spark

So, what else can we do with Jupyter Notebook?
Package Development

nbdev let's you develop and publish Python packages right from Jupyter Notebook.

It generates documentation and publishes on GitHub Pages. You can also write tests and setup CI with GitHub Actions.

github.com/fastai/nbdev
Read 11 tweets
PyQuant News 🐍 Profile picture
Aug 31
Myth:

You need a computer science degree to get started with Python, NumPy, and pandas.

Reality:

You need these 8 YouTube videos:
"Python Pandas" by Corey Schafer

Learn the basics of creating and manipulating data frames, indexing and selecting data, and cleaning and manipulating data in Pandas.

"NumPy Array Basics" by sentdex

This video covers the basics of working with NumPy arrays, including creating arrays, indexing and slicing, and performing arithmetic operations.

Read 12 tweets
PyQuant News 🐍 Profile picture
Aug 24
Statistical arbitrage is scary sh*t.

That's what I used to think until I spent 25 hours studying pairs trading.

Now I realize it's a great way to get started with algorithmic trading.

Here’s how to build a pairs trading strategy in Python.

Step by step:
By replicating this framework, you’ll be able to:

1. Get stock price data
2. Find cointegrated pairs
3. Model the spread
4. Trade the strategy

What is pairs trading anyway?
Pairs trading is a way of trading an economic relationship between two stocks.

Two companieswith the same supply chain will be impacted by the same economic forces.

Pairs trading tries to model that relationship and make money when the relationship temporarily breaks down.
Read 13 tweets
PyQuant News 🐍 Profile picture
Aug 20
Python is the new Excel.

So don't be the only one stuck with 1,048,576 rows.

6 links to help you quickly get started with Python now: Image
The Ultimate Beginner’s Guide to NumPy

What you'll learn: NumPy is the foundation for all data-driven libraries in Python. Understanding the basics will help you learn other libraries like Pandas and get an edge on your peers.

towardsdatascience.com/the-ultimate-b…
Random Forests for Complete Beginners

What you'll learn: A thorough walkthrough of building and using decision trees and random forest machine learning techniques in Python.

victorzhou.com/blog/intro-to-…
Read 10 tweets

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