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Code to compute volatility 5 ways most people don't know (and 1 way most people do): β€’ Parkinson β€’ Yang-Zhang β€’ Garman-Klass β€’ Rogers-Satchell β€’ Hodges-Tompkins β€’ Standard Deviation Get the code (for free) here:
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The cost behind the Python Quant Stack: β€’ SciPy: $0 β€’ Zipline: $0 β€’ Python: $0 β€’ NumPy: $0 β€’ PyFolio: $0 β€’ Pandas : $0 β€’ OpenBB: $0 β€’ Empyrical: $0 β€’ AlphaLens: $0 β€’ Statsmodels: $0 β€’ RiskFolio-Lib: $0 Here's how to get started:
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Pricing and Optimization For people using Python for quant finance, you can use QuantLib and Riskfolio for derivatives pricing and portfolio optimization. You'll get practical examples using each library.
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Start using Python without programming experience. β€’ No more errors β€’ No more frustration β€’ Everything in one place. Waitlist subscribers get a 50% discount and an exclusive, personalized support package. Join here: pyquantnews.com/foundations/…
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Code to compute volatility 5 ways most people don't know (and 1 way most people do): β€’ Parkinson β€’ Yang-Zhang β€’ Garman-Klass β€’ Rogers-Satchell β€’ Hodges-Tompkins β€’ Standard Deviation Get the code (for free) here:
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PyQuant News 🐍 retweeted
The evolution of a systematic trader:
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PyQuant News 🐍 retweeted
The 8 top Python libraries everyone working in market data analysis needs installed:
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The 8 top Python libraries everyone working in market data analysis needs installed:
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Zipline Reloaded Zipline is an open-source backtesting library in Python that is primarily used for developing and testing trading algorithms. zipline.ml4trading.io/index.…
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The 8 top Python libraries everyone working in market data analysis needs installed:
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