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Jupyter Notebook is the most powerful tool Python developers have. But most people donβt 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: β’ NumPy β’ SciPy β’ 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: β’ Garman Klass β’ Hodges Tompkins β’ Parkinson β’ Rogers Satchell β’ Yang Zhang β’ Standard Deviation How do you do it in Python...
The 5 absolute must have Python libraries to build an algorithmic trading environment:
Python has unlocked algorithmic trading for all traders and investors. But getting started can feel impossible. PyQuant News has been curating the best quant resources on the int...
NFTs, Cryptopunks, financial market data and Pandas. The most popular posts on PyQuant News from March 2022. π
Algorithmic trading is the domain of secretive hedge funds. Python has unlocked these secrets for all traders and investors (even Goldman Sachs has an open source tool). Use the...