Python - Alpaca Learn - Developer API Trading Tutorials, Code Samples

The Advantages of Using Python for Algorithmic Trading

Python is a powerful programming language. One of its widespread use is its suitability for algorithmic trading. If you're interested in learning more about why Python can be considered a preferred programming language for algorithmic traders, check out our latest article.

Crypto

On-Chain Metric Investing Strategy with Glassnode API

Integrate on-chain metrics into algorithmic trading using Glassnode API to fetch on-chain metric data, perform calculations on that data, and implement trading with Alpaca’s APIs.

Crypto

Triangular Arbitrage with Coin Pair Trading

With Alpaca’s coin pair, we introduce a triangular arbitrage strategy using BTC/USD, ETH/USD, and the new BTC/ETH coin pair to attempt to profit from potential differences between price conversions.

Crypto

Build a Dollar Cost Average Bot with Crypto API

We'll test out how a DCA strategy into Ethereum performs against a lump sum investment. Then, we'll build a live market bot that DCAs into Ethereum over any specified timeframe

Crypto

Stream Real Time Crypto Data for Your Trading Algorithms

Learn how to receive real time crypto data from an exchange using Python.

Crypto

Visualizing Orderbook Data with Alpaca Crypto API

Level 2 data streaming is now available on Alpaca Crypto API for more than 20 coins.

Crypto

Crypto Arbitrage on Decentralized and Centralized Exchanges

Learn how to build a crypto arbitrage bot that trades when the price of an asset is different on a centralized exchange versus a decentralized exchange.

Crypto

Introduction to CCXT with Alpaca

Alpaca’s crypto services are in the process of being integrated with CCXT, an open source library that lets you to connect to dozens of cryptocurrency brokerages. Learn more in this post.

Trading API

13 Order Types You Should Know About When Investing

Learn about the 13 order types that Alpaca offers, starting with the basics and working through to more advanced order types.

Algorithmic Trading Basics

Technical Analysis with TA-Lib and Market Data API

Many algorithmic trading strategies make use of technical analysis in order to determine its entries and exits. TA-LIB is a python library which makes it easy to compute, manage and use technical indicators.

Algorithmic Trading Basics

Sentiments Analysis of Financial News with News API and Transformers

Alpaca now provides news data via API, allowing you to access market moving content from timely and trusted sources. In the following sections, we’ll learn how to use the news data API to place trades based on sentiment analysis.

Market Data API

Understanding Alpaca’s Market Data API with Pandas and Plotly

Alpaca provides easy-to-use SDKs that simplify the process of consuming market data in Python, Javascript, and more. This article will explore the different historical data endpoints exposed, expand on the data response objects, and explain a simple use case.

Algorithmic Trading Basics

Using Replit to Build a Bitcoin Trading Bot

We’ll see how we can use Replit to write a paper trading bot that trades Bitcoin using Alpaca’s API. You can fork the code we write below from this Replit template.

Backtesting

Introduction to Backtesting with VectorBT

Vectorbt is a backtesting library for Python that excels at processing large amounts of data. It allows you to quickly and easily backtest strategies in only a few lines of code.

Market Data API

Buying Crypto using Alpaca Snapshot and Crypto APIs

Alpaca provides easy-to-use APIs for trading crypto and requesting historical data, and in this article, we’ll walk you through a basic repl that illustrates how you can do exactly that.

Algorithmic Trading Basics

Research, Backtest, and Trade from a Jupyter Notebook in Google Colab

We provide an interactive environment you can use to quickly get started with Alpaca and start exploring what you can build. You can use this environment to research new ideas, backtest them and even place paper trades.

Algorithmic Trading Basics

Coded & Analyzed Pairs Trading Strategy Using Bitcoin and Coinbase Stock

In the following sections, we’ll look at historical data to analyze a type of market neutral trade called a pairs trade. Then we will use our analysis of market data to formulate a trading strategy across crypto and equity markets.

Algorithmic Trading Basics

Backtesting Bitcoin with Pandas and Market Data API

Alpaca’s Market Data API can be a powerful tool for easily accessing market data. We can use the Market Data API to access all the equity and crypto data we will need for our backtest.

Algorithmic Trading Basics

LiuAlgoTrader — Part II — Putting it all together

This article goes over an end-to-end example of a real-life trading strategy backtested with LiuAlgoTrader Framework