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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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Tutorials completely failed to teach me how machine learning works. I used to just import scikit-learn and call https://t.co/hu5TFSsBsR. So I spent 100 hours studying the most po...
9 trading strategies everyone should know (with Python code):
In 2012, my first options trade lost $9,000. 12 months later I was making $1,100 per week trading in my free time. What changed? I read 20 books on options and finished a master...
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's the 6 ways...
My master's degree completely failed to teach me how to test trading strategies. So I spent 40 hours looking for Python backtesting libraries. Then I started using the best ones....
The only 3 Python libraries you need for data analysis: • NumPy • SciPy • pandas Where to get started:
Python is the new Excel. Don't be the only one left using the green icon. Here's 6 resources to help you learn Python now:
How to win at trading (without getting lucky):
People make $1,000,000s trading crypto. It's only for scientists and nerds, right?. Wrong. Anyone can trade crypto. But you need to know how:
95% of new traders lose money and quit within 3 years. So I talked to 18 successful traders that consistently make money. Then, I distilled what I learned into 6 simple rules. B...
How do you measure volatility? Let me count the ways: • Garman Klass • Hodges Tompkins • Parkinson • Rogers Satchell • Yang Zhang • Standard Deviation How do you do it in Python...
The 5 absolute must have Python libraries to build an algorithmic trading environment: