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1. |
Record Nr. |
UNINA9910781891503321 |
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Autore |
Clarke Jacqueline |
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Titolo |
Options made simple : a beginner's guide to trading options for success / / Jacqueline Clarke, Davin Clarke |
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Pubbl/distr/stampa |
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Milton, Qld, Australia, : Wrightbooks, c2012 |
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ISBN |
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1-283-27291-1 |
9786613272911 |
0-7303-7638-9 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (vii, 244 pages) : illustrations |
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Disciplina |
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Soggetti |
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Options (Finance) |
Investments |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Options Made Simple: Simple, Easy to Understand Strategies Anyone can use for Success!; Contents; About the authors; Chapter 1: What are options?; What are options?; Options versus shares; Chapter summary; Chapter 2: Advantages and risks; Advantages of option trading; Risks of option trading; Chapter summary; Chapter 3: Types of options; Summary of call options and put options; Option buyers (takers); Option sellers (writers); Call options; Put options; Company issued options; Index options; Chapter summary; Chapter 4: Option pricing; Stock pricing versus option pricing; Intrinsic value |
Time value Pricing models; Pay-off diagrams; Chapter summary; Chapter 5: The mechanics: how to buy, sell and exercise options; Opening a position; Closing a position; Options clearing; Option settlement; Exercising an option; Trading costs; Margins; Opening an options account; Market makers; Chapter summary; Chapter 6: Buying options: the scenarios; Buying options; Buying a call option; Buying a put option; Chapter summary; Chapter 7: Selling options: the scenarios; Selling options; Selling a covered call option; Selling a naked call option; Selling a put option; Chapter summary |
Chapter 8: Choosing your option strategy Movement in price; Time |
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decay; Volatility; Chapter summary; Chapter 9: Strategies for buying call options; Buying call options; Risks and disadvantages of buying call options; Selecting your call option; Chapter summary; Chapter 10: Strategies for buying put options; Buying put options; Risks and disadvantages of buying put options; Selecting your put option; Chapter summary; Chapter 11: Strategies for selling covered call options; Selling call options; Selling covered call options; Risks and disadvantages of selling covered call options |
Selecting your covered call option Chapter summary; Chapter 12: Strategies for selling naked call options; Selling naked call options; Naked call option strategies; Risks and disadvantages of selling naked call options; Chapter summary; Chapter 13: Strategies for selling put options; Selling put options; Risks and disadvantages of selling put options; Selling put options strategies; Chapter summary; Chapter 14: Advanced strategies: using multiple option spreads; Multiple option strategies; Bull spread; Bull put spread; Bear spreads; Bear call spread; Ratio call spread; Calendar spread |
Chapter summary Chapter 15: Advanced strategies: straddles and strangles; Option straddle strategy; Option strangle strategies; Chapter summary; Appendix; Glossary; Index |
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Sommario/riassunto |
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The sixth book in the Wrightbooks Made Simple series, Options Made Simple is an uncomplicated guide to trading options for beginners. This book outlines some simple, easy to understand strategies anyone can use to start trading options. The book will be a succinct paperback with lower price point, and provide the perfect first step into trading options. An option is a binding contract that gives the buyer the right, but not the obligation, to buy or sell an underlying asset at a specific price on or before a certain date ?C it has strictly defined terms and properties. |
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2. |
Record Nr. |
UNINA9910830429503321 |
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Autore |
Esmaili Rebekah Bradley |
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Titolo |
Earth observation using Python : a practical programming guide / / Rebekah Bradley Esmaili |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : AGU : , : Wiley, , [2021] |
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©2021 |
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ISBN |
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1-119-60691-8 |
1-119-60689-6 |
1-119-60692-6 |
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Descrizione fisica |
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1 online resource (300 pages) |
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Collana |
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Special publications series ; ; 75 |
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Disciplina |
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Soggetti |
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Earth sciences - Data processing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- Acknowledgments -- Introduction -- Part I Overview of Satellite Datasets -- Chapter 1 A Tour of Current Satellite Missions and Products -- 1.1 History of Computational Scientific Visualization -- 1.2 Brief Catalog of Current Satellite Products -- 1.2.1 Meteorological and Atmospheric Science -- 1.2.2 Hydrology -- 1.2.3 Oceanography and Biogeosciences -- 1.2.4 Cryosphere -- 1.3 The Flow of Data from Satellites to Computer -- 1.4 Learning Using Real Data and Case Studies -- 1.5 Summary -- References -- Chapter 2 Overview of Python -- 2.1 Why Python? -- 2.2 Useful Packages for Remote Sensing Visualization -- 2.2.1 NumPy -- 2.2.2 Pandas -- 2.2.3 Matplotlib -- 2.2.4 netCDF4 and h5py -- 2.2.5 Cartopy -- 2.3 Maturing Packages -- 2.3.1 xarray -- 2.3.2 Dask -- 2.3.3 Iris -- 2.3.4 MetPy -- 2.3.5 cfgrib and eccodes -- 2.4 Summary -- References -- Chapter 3 A Deep Dive into Scientific Data Sets -- 3.1 Storage -- 3.1.1 Single Values -- 3.1.2 Arrays -- 3.2 Data Formats -- 3.2.1 Binary -- 3.2.2 Text -- 3.2.3 Self-Describing Data Formats -- 3.2.4 Table-Driven Formats -- 3.2.5 geoTIFF -- 3.3 Data Usage -- 3.3.1 Processing Levels -- 3.3.2 Product Maturity -- 3.3.3 Quality Control -- 3.3.4 Data Latency -- 3.3.5 Reprocessing -- 3.4 Summary -- References -- Part II Practical Python Tutorials for Remote Sensing -- Chapter 4 Practical Python Syntax -- |
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4.1 "Hello Earth" in Python -- 4.2 Variable Assignment and Arithmetic -- 4.3 Lists -- 4.4 Importing Packages -- 4.5 Array and Matrix Operations -- 4.6 Time Series Data -- 4.7 Loops -- 4.8 List Comprehensions -- 4.9 Functions -- 4.10 Dictionaries -- 4.11 Summary -- References -- Chapter 5 Importing Standard Earth Science Datasets -- 5.1 Text -- 5.2 NetCDF -- 5.2.1 Manually Creating a Mask Variable Using True and False Values. |
5.2.2 Using NumPy Masked Arrays to Filter Automatically -- 5.3 HDF -- 5.4 GRIB2 -- 5.5 Importing Data Using Xarray -- 5.5.1 netCDF -- 5.5.2 Examining Vertical Cross Sections -- 5.5.3 Examining Horizontal Cross Sections -- 5.5.4 GRIB2 using Cfgrib -- 5.5.5 Accessing Datasets Using OpenDAP -- 5.6 Summary -- References -- Chapter 6 Plotting and Graphs for All -- 6.1 Univariate Plots -- 6.1.1 Histograms -- 6.1.2 Barplots -- 6.2 Two Variable Plots -- 6.2.1 Converting Data to a Time Series -- 6.2.2 Useful Plot Customizations -- 6.2.3 Scatter Plots -- 6.2.4 Line Plots -- 6.2.5 Adding Data to an Existing Plot -- 6.2.6 Plotting Two Side-by-Side Plots -- 6.2.7 Skew-T Log-P -- 6.3 Three Variable Plots -- 6.3.1 Filled Contour Plots -- 6.3.2 Mesh Plots -- 6.4 Summary -- References -- Chapter 7 Creating Effective and Functional Maps -- 7.1 Cartographic Projections -- 7.1.1 Geographic Coordinate Systems -- 7.1.2 Choosing a Projection -- 7.1.3 Some Common Projections -- 7.2 Cylindrical Maps -- 7.2.1 Global Plots -- 7.2.2 Changing Projections -- 7.2.3 Regional Plots -- 7.2.4 Swath Data -- 7.2.5 Quality Flag Filtering -- 7.3 Polar Stereographic Maps -- 7.4 Geostationary Maps -- 7.5 Creating Maps from Datasets Using OpenDAP -- 7.6 Summary -- References -- Chapter 8 Gridding Operations -- 8.1 Regular One-Dimensional Grids -- 8.2 Regular Two-Dimensional Grids -- 8.3 Irregular Two-Dimensional Grids -- 8.3.1 Resizing -- 8.3.2 Regridding -- 8.3.3 Resampling -- 8.4 Summary -- References -- Chapter 9 Meaningful Visuals through Data Combination -- 9.1 Spectral and Spatial Characteristics of Different Sensors -- 9.2 Normalized Difference Vegetation Index (NDVI) -- 9.3 Window Channels -- 9.4 RGB -- 9.4.1 True Color -- 9.4.2 Dust RGB -- 9.4.3. Fire/Natural RGB -- 9.5 Matching with Surface Observations -- 9.5.1 With User-Defined Functions -- 9.5.2 With Machine Learning. |
9.6 Summary -- References -- Chapter 10 Exporting with Ease -- 10.1 Figures -- 10.2 Text Files -- 10.3 Pickling -- 10.4 NumPy Binary Files -- 10.5 NetCDF -- 10.5.1 Using netCDF4 to Create netCDF Files -- 10.5.2 Using Xarray to Create netCDF Files -- 10.5.3 Following Climate and Forecast (CF) Metadata Conventions -- 10.6 Summary -- Part III Effective Coding Practices -- Chapter 11 Developing a Workflow -- 11.1 Scripting with Python -- 11.1.1 Creating Scripts Using Text Editors -- 11.1.2 Creating Scripts from Jupyter Notebook -- 11.1.3 Running Python Scripts from the Command Line -- 11.1.4 Handling Output When Scripting -- 11.2 Version Control -- 11.2.1 Code Sharing though Online Repositories -- 11.2.2 Setting up on GitHub -- 11.3 Virtual Environments -- 11.3.1 Creating an Environment -- 11.3.2 Changing Environments from the Command Line -- 11.3.3 Changing Environments in Jupyter Notebook -- 11.4 Methods for Code Development -- 11.5 Summary -- References -- Chapter 12 Reproducible and Shareable Science -- 12.1 Clean Coding Techniques -- 12.1.1 Stylistic Conventions -- 12.1.2 Tools for Clean Code -- 12.2 Documentation -- 12.2.1 Comments and Docstrings -- 12.2.2 README File -- 12.2.3 Creating Useful Commit Messages -- 12.3 Licensing -- 12.4 Effective Visuals -- 12.4.1 Make a Statement -- 12.4.2 Undergo Revision -- 12.4.3 Are Accessible and Ethical -- 12.5 Summary -- References -- Conclusion -- Appendix A Installing Python -- A.1. Download Tutorials for This Book -- A.2. Download and Install |
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Anaconda -- A.3. Package Management in Anaconda -- Appendix B Jupyter Notebook -- B.1. Running on a Local Machine (New Coders) -- B.2. Running on a Remote Server (Advanced) -- B.3. Tips for Advanced Users -- B.3.1. Customizing Notebooks with Configuration Files -- B.3.2. Starting and Ending Python Scripts -- B.3.3. Creating Git Commit Templates. |
Appendix C Additional Learning Resources -- Appendix D Tools -- D.1. Text Editors and IDEs -- D.2. Terminals -- Appendix E Finding, Accessing, and Downloading Satellite Datasets -- E.1. Ordering Data from NASA EarthData -- E.2. Ordering Data from NOAA/CLASS -- Appendix F Acronyms -- Index -- EULA. |
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Sommario/riassunto |
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"Python is a modern programming language that has exploded in popularity both inside and outside of the Earth science community. Part of its appeal is it's easy-to-learn syntax and the thousands of available libraries which can be synthesized with core Python to do nearly any computing task imaginable. In particular, Python is useful for reading Earth-observing satellite datasets, which can be notoriously difficult to use due to the volume of information that results from the multitude of sensors, platforms, and spatio-temporal spacing. Python facilitates reading a variety of self-describing binary datasets that these observations are often encoded in. Using the same software, one can complete the entirerty of a research project and even produce plots. Within a notebook environment, the scientist can document and distribute the code which can improve efficiency and transparency within the Earth sciences community. Even with the right tools data are seldom ready off-the-shelf for analysis and research and requires a number of pre-processing steps to make the data useable. What steps to take and why are often except perhaps for data developers themselves. Data users often misunderstand concepts such as data quality, how to perform an atmospheric correction, or the complex regridding schemes necessary to compare data with different resolutions. Even to a technical user, the nuances can be frustrating and difficult to overcome. The consequence of this is that data remains unused, or worse, potentially misused"-- |
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3. |
Record Nr. |
UNINA9910973291603321 |
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Autore |
Tsai Shih-shan Henry |
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Titolo |
Lee Teng-hui and Taiwan's Quest for Identity / / by S. Tsai |
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Pubbl/distr/stampa |
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New York : , : Palgrave Macmillan US : , : Imprint : Palgrave Macmillan, , 2005 |
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ISBN |
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9786611367954 |
9781281367952 |
1281367958 |
9781403977175 |
1403977178 |
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Edizione |
[1st ed. 2005.] |
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Descrizione fisica |
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1 online resource (304 p.) |
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Disciplina |
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Soggetti |
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Asia - History |
Asia - Politics and government |
Political science |
History, Modern |
China - History |
Asian History |
Asian Politics |
Political Science |
Modern History |
History of China |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Sommario/riassunto |
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The book is an account of Taiwan's evolving national consciousness told through the biography of its former President Lee Teng-hui - the central figure in the island's political transformation over the past two decades. In describing the broader historical and social context of the various stages of Lee's life, the book also analyzes Taiwan's own evolution during the past century as a Japanese colony, a Leninist |
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party-state dictatorship, and then an American-inspired fledgling democracy. The book explores such questions as: Is Lee Teng-hui an opportunistic recidivist who is interested only in his own self-preservation, or is he a hero who not only propelled Taiwan into a new era, but also constructed a new national identity for the islanders? Are the multi-ethnic islanders culturally 'Chinese' or are they 'Taiwanese'? Is Taiwan historically and politically part of 'China' or does it have its own history and identity, and deserves international recognition as an independent sovereign country? |
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