PyQuant News 🐍 Profile picture
Oct 7, 2024 10 tweets 3 min read Read on X
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

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with PyQuant News 🐍

PyQuant News 🐍 Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @pyquantnews

Dec 9
Save your $90,000 and skip the quant finance degree.

Dive into 17 code repos that will teach you more than all your professors at school.

All without costing you $90,000: Image
OpenBB

Workspace for investment research for everyone.

github.com/OpenBB-finance…
PyQL

QuantLib's Python port.

github.com/enthought/pyql
Read 22 tweets
Dec 2
RenTec uses Hidden Markov Models in trading.

The technique generated 60% returns per year over 30 years.

One of the co-founders of RenTec's name is in the algorithm!

Here's how it works: Image
A Hidden Markov Model (HMM) is a statistical model used to represent systems that evolve over time with unobservable (hidden) states.

It is widely applied in areas such as natural language processing, speech recognition, and bioinformatics.

And in trading:
HMMs are particularly useful when dealing with sequential data, where the underlying process is governed by probabilities.
Read 8 tweets
Nov 30
Quants use the volatility surface to price exotic options, calibrate models, and find mispricings.

You can build your own volatility surface with Python: Image
First, get the options chain data. Image
Then, inspect the volatility skew. Image
Read 10 tweets
Nov 27
During my master's degree, I read 65 books on quant finance.

Most of them were useless.

But these 4 are still on my shelf 10 years later.

And they should be on yours too: Image
Linear and Nonlinear Programming by David G Luenberger and Yin Ye

What you learn:

Optimization theory and its applications, covering both linear and nonlinear programming with a focus on practical problem-solving techniques. Image
Pricing Derivative Securities by TW Epps

What you learn:

How to price various derivative securities using mathematical models and the limitations and assumptions of these models. Image
Read 7 tweets
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
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

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(