PyQuant News 🐍

Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.

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Algorithmic trading with Python AMA https://t.co/xcUZmpViiu

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Looking to start using Python for market data analysis?

Here's a free Crash Course with everything you need to get started.

Join the 1,000s of people who finally started with Python after reading it:

https://t.co/mlDqqVBqfE

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VectorBT:

Run 1,000,000 strategy simulations in 1 second.

Use it to test intraday trading strategies.

Here's the step-by-step Python code (bookmark):

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The definition of trading edge:

[PyQuant News 🐍 @pyquantnews]

VectorBT:

Run 1,000,000 strategy simulations in 1 second.

Use it to test intraday trading strategies.

Here's the step-by-step Python code (bookmark):

[PyQuant News 🐍 @pyquantnews]

The definition of trading edge:

[PyQuant News 🐍 @pyquantnews]

Multi-timeframe (MTF) analysis lets traders build powerful intraday trading strategies.

VectorBT uses a set of features designed to resample data in the most sensitive way, without looking into the future.

Here's how to do it:

https://t.co/pMQFFKzmUr

[PyQuant News 🐍 @pyquantnews]

Looking to start using Python for quant finance?

Here's a free Crash Course with everything you need to get started.

Join the 1,000s of people who finally started with Python after reading it:

https://t.co/mlDqqVBqfE

[PyQuant News 🐍 @pyquantnews]

Reminder:

Your strategy should perform well in *all* time frames.

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Newsflash:

Python is the new Excel.

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

So to avoid this fate, here's a free 7-day crash course to help you finally quit the green icon:

https://t.co/mlDqqVBqfE

[PyQuant News 🐍 @pyquantnews]

PyBroker:

Algorithmic trading in Python with Machine Learning.

Grab the Python code from GitHub:

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Looking to start using Python for algorithmic trading?

Here's a free Ultimate Guide with everything you need to get started.

Join the 1,000s of people who finally started with Python after reading it:

https://t.co/xUzexpuEPg

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Key features:

• Free historical data
• Includes walk forward analysis
• A super-fast backtesting engine
• Create and execute trading rules across different assets

Get it here:

https://t.co/UxIYOTosfE

[PyQuant News 🐍 @pyquantnews]

The single most *lucrative* way to 2X your career:

Python.

Most people don't know this, but it's how I made my first $1,000 trading, which kicked off a profitable 20+ year career.

Here's a free crash course to get started:

https://t.co/mlDqqVBqfE

[PyQuant News 🐍 @pyquantnews]

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading.

(Great for the options traders.)

Get it on GitHub:

[PyQuant News 🐍 @pyquantnews]

Newsflash:

Python is the new Excel.

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

So to avoid this fate, here's a free 7-day crash course to help you finally quit the green icon:

https://t.co/mlDqqVBqfE

[PyQuant News 🐍 @pyquantnews]

The harsh truth about being a quant:

You have to read a lot.

The 4 books every aspiring quant needs on their bookshelf:

[PyQuant News 🐍 @pyquantnews]

Looking to start using Python for quant finance?

Here's a free Ultimate Guide with everything you need to get started.

Join the 1,000s of people who finally started with Python after reading it:

https://t.co/n3JACBhZB6

[PyQuant News 🐍 @pyquantnews]

Volatility estimators include:

• Garman Klass
• Hodges Tompkins
• Parkinson
• Rogers Satchell
• Yang Zhang
• Standard Deviation

Here's the link:

https://t.co/bZPAgajE0r

[PyQuant News 🐍 @pyquantnews]

A lot of the techniques in these books can be built in Python.

Need help?

Here's a free Ultimate Guide with everything you need to get started.

Join the 1,000s of people who finally started with Python after reading it:

https://t.co/VjRdv1EZ0V

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Make room for these 4 classics:

• Quantitative Methods for Investment Analysis
• Interest Rate Models-Theory and Practice
• Linear and Nonlinear Programming
• Pricing Derivative Securities