Where finance practitioners get started with Python for quant finance, algorithmic trading, and data analysis | Tweets & threads with free Python code & tools.
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:
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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:
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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:
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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:
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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.
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Key features:
β’ Free historical data
β’ Includes walk forward analysis
β’ A super-fast backtesting engine
β’ Create and execute trading rules across different assets
Get it here:
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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
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
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
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:
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Make room for these 4 classics:
β’ Quantitative Methods for Investment Analysis
β’ Interest Rate Models-Theory and Practice
β’ Linear and Nonlinear Programming
β’ Pricing Derivative Securities