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ویرایش: 1
نویسندگان: Jason Strimpel
سری:
ISBN (شابک) : 9781835084700
ناشر: Packt Publishing Pvt Ltd
سال نشر: 2024
تعداد صفحات: 0
زبان: English
فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 19 مگابایت
در صورت تبدیل فایل کتاب Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Py به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب کتاب آشپزی Python for Algorithmic Trading: دستور العمل هایی برای طراحی، ساخت و استقرار استراتژی های معاملاتی الگوریتمی با Py نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Python for Algorithmic Trading Cookbook
Contributors
About the author
About the reviewers
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Conventions used
Get in touch
Share Your Thoughts
Download a free PDF copy of this book
1
Acquire Free Financial Market Data with Cutting-Edge Python Libraries
Technical requirements
Diving into continuous futures data with Nasdaq Data Link
Getting ready…
How to do it…
How it works…
There’s more…
See also
Exploring S&P 500 ratios data with Nasdaq Data Link
How to do it…
How it works…
There’s more…
See also
Working with stock market data with the OpenBB Platform
Getting ready…
How to do it…
How it works…
There’s more…
See also
Fetching historic futures data with the OpenBB Platform
Getting ready…
How to do it…
There’s more…
See also
Navigating options market data with the OpenBB Platform
Getting ready…
How to do it…
How it works…
There’s more…
See also
Harnessing factor data using pandas_datareader
Getting ready…
How to do it…
How it works…
There’s more…
See also
2
Analyze and Transform Financial Market Data with pandas
Diving into pandas index types
How to do it…
How it works…
There’s more…
See also
Building pandas Series and DataFrames
Getting ready
How to do it…
How it works…
There’s more…
See also
Manipulating and transforming DataFrames
Getting ready…
How to do it…
How it works…
There’s more…
See also
Examining and selecting data from DataFrames
How to do it…
How it works…
There’s more…
See also
Calculating asset returns using pandas
How to do it…
How it works…
There’s more…
See also
Measuring the volatility of a return series
How to do it…
How it works…
There’s more…
See also
Generating a cumulative return series
Getting ready…
How to do it…
How it works…
See also
Resampling data for different time frames
How to do it…
How it works…
There’s more…
See also
Addressing missing data issues
Getting ready…
How to do it…
How it works…
There’s more…
See also
Applying custom functions to analyze time series data
Getting ready…
How to do it…
How it works…
There’s more…
See also
3
Visualize Financial Market Data with Matplotlib, Seaborn, and Plotly Dash
Quickly visualizing data using pandas
How to do it…
How it works…
There’s more…
See also
Animating the evolution of the yield curve with Matplotlib
How to do it…
How it works…
There’s more…
See also
Plotting options implied volatility surfaces with Matplotlib
Getting ready…
How to do it…
How it works…
There’s more…
See also
Visualizing statistical relationships with Seaborn
How to do it…
How it works…
There’s more…
See also
Creating an interactive PCA analytics dashboard with Plotly Dash
Getting ready…
How to do it…
How it works…
There’s more…
See also
4
Store Financial Market Data on Your Computer
Storing data on disk in CSV format
How to do it…
How it works…
There’s more…
See also…
Storing data on disk with SQLite
Getting ready…
How to do it…
How it works…
There’s more…
See also…
Storing data in a PostgreSQL database server
Getting ready…
How to do it…
How it works…
There’s more…
See also…
Storing data in ultra-fast HDF5 format
Getting ready…
How to do it…
How it works…
There’s more…
See also…
5
Build Alpha Factors for Stock Portfolios
Identifying latent return drivers using principal component analysis
Getting ready
How to do it…
How it works…
There’s more…
See also
Finding and hedging portfolio beta using linear regression
Getting ready
How to do it…
How it works…
There’s more…
See also
Analyzing portfolio sensitivities to the Fama-French factors
Getting ready
How to do it…
How it works…
There’s more…
See also
Assessing market inefficiency based on volatility
How to do it…
How it works…
There’s more…
See also
Preparing a factor ranking model using Zipline Pipelines
Getting ready
How to do it…
How it works…
There’s more…
See also
6
Vector-Based Backtesting with VectorBT
Building technical strategies with VectorBT
Getting ready
How to do it…
How it works…
There’s more…
See also
Conducting walk-forward optimization with VectorBT
Getting ready
How to do it…
How it works…
There’s more…
See also
Optimizing the SuperTrend strategy with VectorBT Pro
Getting ready
How to do it…
How it works…
There’s more…
See also
7
Event-Based Backtesting Factor Portfolios with Zipline Reloaded
Technical Requirements
For Windows, Unix/Linux, and Mac Intel users
For Mac M1/M2 users
Backtesting a momentum factor strategy with Zipline Reloaded
Getting ready
How to do it…
How it works…
There’s more…
See also
Exploring a mean reversion strategy with Zipline Reloaded
Getting ready
How to do it…
How it works…
There’s more…
See also
8
Evaluate Factor Risk and Performance with Alphalens Reloaded
Preparing backtest results
Getting ready…
How to do it…
How it works…
There’s more…
See also
Evaluating the information coefficient
Getting ready…
How to do it…
How it works…
There’s more…
See also
Examining factor return performance
How to do it…
How it works…
There’s more…
See also
Evaluating factor turnover
How to do it…
How it works…
There’s more…
See also
9
Assess Backtest Risk and Performance Metrics with Pyfolio
Preparing Zipline backtest results for Pyfolio Reloaded
Getting ready…
How to do it…
How it works…
There’s more…
See also
Generating strategy performance and return analytics
Getting ready…
How to do it…
How it works…
There’s more…
See also
Building a drawdown and rolling risk analysis
Getting ready…
How to do it…
How it works…
There’s more…
See also
Analyzing strategy holdings, leverage, exposure, and sector allocations
Getting ready…
How to do it…
How it works…
There’s more…
See also
Breaking Down Strategy Performance to Trade Level
Getting ready…
How to do it…
How it works…
There’s more…
See also
10
Set Up the Interactive Brokers Python API
Building an algorithmic trading app
Getting ready…
How to do it…
How it works…
There’s more…
See also
Creating a Contract object with the IB API
Getting ready…
How to do it…
How it works…
There’s more…
See also
Creating an Order object with the IB API
Getting ready…
How to do it…
How it works…
There’s more…
See also
Fetching historical market data
Getting ready…
How to do it…
How it works…
There’s more…
See also
Getting a market data snapshot
Getting ready…
How to do it…
How it works…
There’s more…
See also
Streaming live market data
Getting ready…
How to do it…
How it works…
There’s more…
See also
Storing live tick data in a local SQL database
Getting ready…
How to do it…
How it works…
There’s more…
See also
11
Manage Orders, Positions, and Portfolios with the IB API
Executing orders with the IB API
Getting ready
How to do it…
How it works…
There’s more…
See also
Managing orders once they’re placed
Getting ready
How to do it…
How it works…
There’s more…
See also
Getting details about your portfolio
Getting ready
How to do it…
How it works…
There’s more…
See also
Inspecting positions and position details
Getting ready
How to do it…
How it works…
There’s more…
See also
Computing portfolio profit and loss
Getting ready
How to do it…
How it works…
There’s more…
See also
12
Deploy Strategies to a Live Environment
Calculating real-time key performance and risk indicators
Getting ready
How to do it…
How it works…
There’s more…
See also
Sending orders based on portfolio targets
Getting ready
How to do it…
How it works…
There’s more…
See also
Deploying a monthly factor portfolio strategy
Getting ready
How to do it…
How it works…
There’s more…
See also
Deploying an options combo strategy
Getting ready
How to do it…
How it works…
There’s more…
See also
Deploying an intraday multi-asset mean reversion strategy
Getting ready
How to do it…
How it works…
There’s more…
See also
13
Advanced Recipes for Market Data and Strategy Management
Streaming real-time options data with ThetaData
Getting ready
How to do it…
How it works…
There’s more…
See also
Using the ArcticDB DataFrame database for tick storage
Getting ready
How to do it…
How it works…
There’s more…
See also
Triggering real-time risk limit alerts
Getting ready
How to do it…
How it works…
There’s more…
See also
Storing trade execution details in a SQL database
Getting ready
How to do it…
How it works…
There’s more…
See also
Index
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