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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

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More from @pyquantnews

May 4
The 21 cognitive biases that will sabotage your trading (and how to beat them to improve your results): Image
Put your ego aside and attribute early trading success to luck. Image
The first rule of finance:

No risk, no reward.

Trading is not eliminating risk, it's managing it. Image
Read 24 tweets
May 1
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
Apr 29
Myth:

AI bots are taking over the markets.

Truth:

Most shops still run Excel '97.

Some shops use machine learning.

10 ways to use machine learning in trading (with the Python library): Image
Reinforcement Learning

Optimizing portfolio management using rewards.

Uses agent-based rewards for dynamic portfolio management. It learns to balance risk and reward by trading different stocks over time.

Use: Stable Baselines3's A2C model
Support Vector Machines

Predicts future trends from patterns.

Uses historical market data for pattern recognition, predicting trends in a specific stock's price based on various indicators such as price and volume.

Use: SciKit Learn svm.SVC class
Read 14 tweets
Apr 15
This is Edward Thorp.

The genius mathematician who returned 20%+ over 30 years.

He traded for 19 years, with his worst loss being 1%.

He beat Vegas dealers at blackjack.

His top 7 trading strategies (and how they work): Image
1. Statistical Arbitrage

He used mathematical models to identify price discrepancies between different markets or securities, buying undervalued assets and selling overvalued ones.

2. Quantitative Analysis

Thorp pioneered the use of quantitative methods in financial markets, developing advanced algorithms to analyze market data and identify profitable trades. Image
Read 10 tweets
Apr 12
I'm 43.

If you're still in your 20s (or 30s), read this:
1. The compounding effect of doing the same thing over and over for a long period of time is a force of nature. Learn how to compound.

2. Learn how to be comfortable with being uncomfortable. Wealth doesn't accrue to people solving easy problems.
3. As soon as you hit your 30s, you’ll understand. Your 20s actually suck. If you feel like it sucks right now, guess what? It’s supposed to. It gets better.

4. It is very hard to change the world when you are broke. So don't apologize for wanting wealth.
Read 21 tweets
Apr 1
12 Python libraries for free market data everyone should know: Image
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

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