~/talks

Yves J. Hilpisch

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titleconferencedate
Reinforcement Learning for FinancePyCon DE & PyData 20252025-04-23
Covers applying Deep Q-Learning to finance with runnable notebooks (TensorFlow originals plus PyTorch notebooks and Google Colab links), trading and hedging…
Talk on
Closing KeynotePyCon APAC 20182018-05-31
An AI-powered trading machine is presented that standardizes data ingestion, backtesting and live execution for mid-frequency (5–10 minute) algo strategies…
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Why Python Has Taken Over FinancePyCon.DE 20172017-10-25
Argues that Python wins because concise code actually produces results: a few lines of pandas vectorized backtest builds positions, computes returns and plots…
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KeynotePyCon Singapore 20162016-06-23
Argument: open source code, open data APIs and cloud compute let finance move from closed, slow toolchains to reproducible, fast workflows. Examples: Python +…
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Lightning Talk: Bitcoin mining on PythonPyCon Singapore 20162016-06-23
Shows a concrete Python implementation using hashlib (md5 for demo, double SHA-256 for Bitcoin) that iterates a numeric nonce and recomputes the header hash…
Lightning on
Interactive Analysis of (Large) Financial Data SetsPyData Berlin 20142014-07-25
Shows concrete results: uses NumPy, pandas, PyTables/HDF5, IPython/Jupyter and multiprocessing to do portfolio optimization, PCA and Monte Carlo; runs 2,500…
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Derivatives Analytics with Python & NumpyEuroPython 20112011-06-20
Prototype claims that Python with NumPy and pandas runs production-grade derivatives analytics: Monte Carlo with least-squares Monte Carlo regression, variance…
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Derivatives Analytics with Python & NumpyEuroPython 20112011-06-20
Claim: Python plus NumPy and pandas implements Monte Carlo derivatives pricing with Longstaff‑Schwartz least‑squares regression, variance reduction and…
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