Algorithmic trading on Alpaca's Platform - Deep Dive

Advanced course on Implementing algorithmic trading strategies using Alpaca's API

Ratings 4.50 / 5.00

Algorithmic trading on Alpaca's Platform - Deep Dive

What You Will Learn!

Algorithmic Trading
Alpaca's API
REST based API architecture
Handling Websocket based architecture
Multi threading application in algorithmic trading
Deploying strategies on cloud (AWS EC2)

Description

Alpaca has revolutionized trading by providing a commission free, API only stock trading platform. This course will help you gain thorough understanding about Alpaca's API and learn how to use it to implement trading strategy. The course will help you understand key concepts pertaining to API architecture (REST/HTTPS based API, Websocket connection etc.) and will prepare you well to build complex trading strategies on Alpaca's platform. You do not have to create a trading account with Alpaca to explore their API, as they also provide an excellent paper trading account which can help you test your strategies as well.

You can expect to gain the following skills from this course

What, Why & How of API trading
Alpaca's API fundamentals
Extracting historical data
Harnessing streaming tick level data
Incorporating technical indicators using python
Integrating Alpaca with TradingView charting
Backtesting strategies
End to End strategy design and deployment
Using multithreading to implement streaming data based strategies
Sqlite database management
Backtesting strategies
Deploying and running strategies on cloud (AWS EC2)

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Important note - Course prerequisites:

Please note that this course requires basic python proficiency. At the minimum, you should be comfortable with:

basic python data types and format
basic python data structures such as list, dictionary, tuple etc.
how to create python functions
how to implement loops in python
installing and importing libraries

In addition, basic familiarity with finance/trading concepts is also required. Although, I have devoted reasonable time explaining concepts like technical indicators, strategy design, KPIs, risk management etc., some prior experience using these concepts would be very beneficial.

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