A Bloomberg Terminal costs $24,000 per year.

It's the portal to all the world's financial data.

Unaffordable for 99% of us.

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

Until now:

In case you're unfamiliar:

• Over 325,000 people use Bloomberg daily
• Used for market data, trading and research
• Launched in 1981 by billionaire Michael Bloomberg

It's a modern icon of financial markets.

So, how can you compete?

With OpenBB.

The OpenBB Terminal is a Python-based environment for investment research.

There are over 500 functions covering:

• ETFs
• Forex
• Stocks
• Crypto
• Options
• Portfolio
• Economy
• Mutual funds
• Econometrics

Strap on your seat belt.

Let's dive in:

Let's start by analyzing Tesla.

First, type *stocks* at the command prompt to show the menu.

These are all the sub menus you can explore to analyze stocks.

The menu items in grey are not available until you load stock data.

Let's load TSLA now.

Type *load TSLA*.

This will load TSLA price data (for free) and print out a performance summary.

Now we can start to analyze TSLA.

Algorithmic trading is the domain of secretive hedge funds.

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

Use the same tools the professionals use.

Here's 5 tools to start automating your trading:

A Guide to Obtaining Time Series Datasets in Python

What you'll learn: Acquire, clean and analyze stock and economic data for free using

Analyzing Stock Events with Pandas

What you'll learn: How to analyze company events impact stock returns as a trading

Goldman Sachs' Open Source Quant Library: GS Quant

What you'll learn: How to accelerate development of quantitative trading strategies and risk management

Automated AI Based Trading System With Python

What you'll learn: How to create a fully automated AI based trading system for

College completely failed to teach me data analysis.

So I spent over 10,000 hours learning Python.

Then, I picked the 13 best libraries for machine learning and data analysis.

But unlike college, these won't cost you $120,000.

Here they are for free:

AutoViz

AutoViz performs automatic visualization of any dataset with a single line of Python code. Give it any input file (CSV, txt or json) of any size and AutoViz will visualize

Numba

Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or

NetworkX

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex

pandas

pandas is a fast, powerful, flexible, and easy-to-use open source data analysis and manipulation tool, built on top of the Python programming