Options Trading with Python (Paperback)
Cole Stratton
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since October 12, 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. Reactive Publishing Options Trading with PythonBuild smarter strategies. Automate your edge.In the fast-moving world of derivatives, static spreadsheets and gut feelings won't cut it. Options Trading with Python is your hands-on guide to combining financial insight with code-driven execution, helping you design, test, and optimize trading strategies with real precision.Whether you're an aspiring quant, active options trader, or a Python-savvy investor, this book walks you through: Pricing models, Greeks, and volatility surfacesBuilding and backtesting options strategies from scratchUsing Python libraries like StatsModels, NumPy, Pandas, and yFinanceSimulating P&L distributions and stress-testing strategiesIntegrating real-time data for live executionCreating custom tools for screening, risk control, and entry/exit timingYou'll go beyond theory into the world of automated execution, probabilistic modeling, and data-driven trading - all in Python, the language of modern finance.Code the trade. Test the edge. Trade with confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9798315454557
Build smarter strategies. Automate your edge.
In the fast-moving world of derivatives, static spreadsheets and gut feelings won’t cut it. Options Trading with Python is your hands-on guide to combining financial insight with code-driven execution, helping you design, test, and optimize trading strategies with real precision.
Whether you're an aspiring quant, active options trader, or a Python-savvy investor, this book walks you through:
Pricing models, Greeks, and volatility surfaces
Building and backtesting options strategies from scratch
Using Python libraries like StatsModels, NumPy, Pandas, and yFinance
Simulating P&L distributions and stress-testing strategies
Integrating real-time data for live execution
Creating custom tools for screening, risk control, and entry/exit timing
You’ll go beyond theory into the world of automated execution, probabilistic modeling, and data-driven trading — all in Python, the language of modern finance.
Code the trade. Test the edge. Trade with confidence.
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