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Hands-On Financial Trading with Python. Build, backtest, and deploy professional trading strategies using a proven end-to-end framework - Second Edition Cordell L. Tanny, Reena Atanasiadis

Książka w języku angielskim angielski
Hands-On Financial Trading with Python. Build, backtest, and deploy professional trading strategies using a proven end-to-end framework - Second Edition Cordell L. Tanny, Reena Atanasiadis - okladka książki

Hands-On Financial Trading with Python. Build, backtest, and deploy professional trading strategies using a proven end-to-end framework - Second Edition Cordell L. Tanny, Reena Atanasiadis - okladka książki

Hands-On Financial Trading with Python. Build, backtest, and deploy professional trading strategies using a proven end-to-end framework - Second Edition Cordell L. Tanny, Reena Atanasiadis - audiobook MP3

Hands-On Financial Trading with Python. Build, backtest, and deploy professional trading strategies using a proven end-to-end framework - Second Edition Cordell L. Tanny, Reena Atanasiadis - audiobook CD

Autorzy:
Cordell L. Tanny, Reena Atanasiadis
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
656
Dostępne formaty:
     PDF
     ePub

Ebook
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Do przechowalni

Go beyond learning Python libraries in isolation. This book teaches you the complete workflow professionals use to build systematic trading strategies.
You start by acquiring, exploring, and cleaning market data, handling missing values, misaligned time series, and noise. From there, you form trading hypotheses, generate signals, and define entry and exit rules. You evaluate risk-adjusted performance and challenge your backtests through out-of-sample testing and walk-forward analysis. Next, you explore time-series models, machine learning for trading, and AI-driven alpha signal generation. Finally, you build a deployable strategy repository and automate execution in the cloud. One volatility tail-hedge strategy runs from raw data to cloud deployment, and you build five further strategies from published research, covering momentum, regime detection, economic indicators, and sector rotation, each tested to confirm that its signal does real work.
Drawing on 25 years of institutional trading experience, the book shows you how to spot lookahead bias and overfitting and distinguish promising signals from noise. You work with VectorBT and QuantStats, with PythonAnywhere for deployment. The book includes all the code, and by the end you have working strategies and a repeatable framework for algorithmic trading with Python

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O autorze książki

Cordell Tanny possesses over 25 years of expertise in designing and deploying algorithmic trading systems for institutional markets. Leveraging a B.Sc. in Biology from McGill University, he applies a scientific, hypothesis-driven methodology to finance. He held senior roles at Standard Life Investments and RBC, overseeing a $2 billion CAD multi-asset program. Cordell is a CFA Charterholder, Certified FRM, and holds the FDP charter. Currently a quantitative consultant, he architects bespoke Python-based trading infrastructures and machine learning models for investment firms. He lectures at Concordia University and develops comprehensive online curricula on systematic trading. He frequently addresses CFA Societies on the technical implementation of AI strategies.

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