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Algorithmic Trading with Python - Alpaca & Polygon

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4:09:20

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  • 1 -Introduction.mp4
    01:16
  • 2 -Disclaimer.mp4
    01:04
  • 1 -Download and Install Anaconda.mp4
    01:54
  • 2 -Navigating Jupyter Notebook.mp4
    03:15
  • 1 -Data Types & Variables.mp4
    07:20
  • 2 -Operators.mp4
    04:00
  • 3 -Loops.mp4
    05:27
  • 4 -Functions.mp4
    03:51
  • 5 -Pandas.mp4
    03:11
  • 1 -Sign-Up.mp4
    00:59
  • 2 -Dashboard Overview.mp4
    04:09
  • 3 -Alpaca Connect.mp4
    01:01
  • 4 -Documentation Part 1 - Introduction.mp4
    01:28
  • 5 -Documentation Part 2 - Broker API.mp4
    00:51
  • 6 -Documentation Part 3 - Trading API.mp4
    03:59
  • 7 -Documentation Part 4 - Market Data API.mp4
    02:23
  • 1 -Authentication.mp4
    04:44
  • 2 -Accounts.mp4
    01:28
  • 3 -Assets.mp4
    02:34
  • 4 -Corporate Actions.mp4
    02:48
  • 5 -Orders.mp4
    07:28
  • 6 -Positions.mp4
    03:17
  • 7 -Portfolio History.mp4
    02:59
  • 8 -Watchlists.mp4
    04:39
  • 9 -Account Configurations.mp4
    02:21
  • 10 -Account Activities.mp4
    02:29
  • 11 -Calendar.mp4
    04:31
  • 12 -Clock.mp4
    01:31
  • 13 -Crypto Funding.mp4
    01:15
  • 1 -Stocks - Historical Auctions.mp4
    03:12
  • 2 -Stocks - Historical Bars.mp4
    06:53
  • 3 -Stocks - Next Page Token.mp4
    14:31
  • 3 -historical bars.zip
  • 4 -Stocks - Latest Bars.mp4
    01:19
  • 5 -Stocks - Historical Quotes & Condition Codes.mp4
    02:57
  • 6 -Stocks - Exchange Codes.mp4
    00:52
  • 7 -Stocks - Latest Quotes.mp4
    01:22
  • 8 -Stocks - Snapshots.mp4
    01:32
  • 9 -Stocks - Historical Trades & Latest Trades.mp4
    03:46
  • 1 -Screener.mp4
    02:16
  • 2 -News.mp4
    03:58
  • 3 -Corporate Actions.mp4
    03:36
  • 4 -Options.mp4
    02:09
  • 1 -Sign-Up.mp4
    01:14
  • 2 -Pricing.mp4
    03:04
  • 3 -Documentation.mp4
    01:13
  • 1 -Aggregates.mp4
    11:26
  • 2 -Grouped Daily.mp4
    05:06
  • 3 -Daily OpenClose.mp4
    01:08
  • 4 -Previous Close.mp4
    01:08
  • 5 -Trades, Last Trade, Quotes & Last Quote.mp4
    01:06
  • 6 -Snapshots.mp4
    03:49
  • 7 -Technical Indicators.mp4
    07:21
  • 1 -Tickers & Exchanges.mp4
    03:17
  • 2 -Ticker Details.mp4
    01:45
  • 3 -Ticker Events.mp4
    01:45
  • 4 -Ticker News.mp4
    02:08
  • 5 -Ticker Types.mp4
    01:16
  • 6 -Market Holidays & Status.mp4
    03:06
  • 7 -Stock Splits.mp4
    01:37
  • 8 -Dividends.mp4
    02:06
  • 9 -Stock Financials.mp4
    02:59
  • 10 -Conditions.mp4
    01:17
  • 11 -Related Companies.mp4
    01:26
  • 1 -Get Data.mp4
    07:42
  • 2 -Add Additional Fields.mp4
    09:38
  • 3 -DataFrame Cleanup.mp4
    07:42
  • 4 -Backtest Strategy.mp4
    13:59
  • 5 -Execute Strategy.mp4
    13:54
  • 1 -Course Conclusion.mp4
    00:33
  • Description


    Learn how to trade with Python using the Alpaca and Polygon APIs to pull stock data, build strategies, and place trades.

    What You'll Learn?


    • Develop a basic understanding of Python
    • Retrieve and manage data from an API call
    • Place stock trades using Python
    • Structure and clean large datasets
    • Build and test a stock trading strategy

    Who is this for?


  • Any level Python developer interested in algorithmic stock trading.
  • What You Need to Know?


  • No experience is needed, but a basic understanding of the stock market will help.
  • More details


    Description

    Unlock the world of algorithmic trading with our comprehensive course designed for all levels! This course will guide you through the basics of Python programming, focusing on its application in financial markets.

    You'll start by learning fundamental Python concepts, including variables, data types, and functions. These foundational skills will empower you to write clean, efficient code.

    Next, you'll dive into the Alpaca API, a powerful tool for trading. You'll learn how to set up your Alpaca account, authenticate your API keys, and utilize the API to pull real-time stock data. The course will cover essential operations like placing market orders and managing your portfolio, allowing you to execute trades seamlessly.

    In addition to Alpaca, we’ll introduce you to the Polygon API, which provides extensive financial market data. You'll learn how to fetch historical stock prices, news, and other crucial information to enhance your trading decisions. By integrating data from both APIs, you’ll gain a well-rounded perspective on market trends.

    Finally, we’ll focus on constructing a basic trading strategy. You’ll learn key concepts such as moving averages and risk management techniques. By the end of the course, you’ll have the tools to develop and test your own trading strategies, helping you make informed decisions in the stock market.

    Whether you’re a complete beginner or looking to enhance your skill set, this course will equip you with the knowledge to navigate the exciting realm of algorithmic trading confidently. Join us and start your journey toward becoming a proficient trader!

    Who this course is for:

    • Any level Python developer interested in algorithmic stock trading.

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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 69
    • duration 4:09:20
    • Release Date 2025/01/16