Algorithmic Trading Basics

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

Algo-trading Bitcoin with Bollinger Bands and RSI

Learn how to build an algo-trading bot that uses Bollinger Bands and RSI as indicators to trade Bitcoin on an hourly time frame.

Crypto

Stream Real Time Crypto Data for Your Trading Algorithms

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

Crypto

Pairs Trading Dogecoin and Shiba Inu with Alpaca Crypto API

Pairs Trading is a strategy that attempts to exploit the difference in returns of two highly correlated assets. In this post, learn more about pairs trading with Dogecoin and Shiba Inu using Alpaca Crypto API.

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.

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.

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

Algorithmic Trading In Java with Alpaca

This is a Java implementation for the Alpaca API. Alpaca lets you trade with algorithms, connect with apps, and build services all with a commission-free stock trading API.

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.

Crypto

How Does Crypto Fee Pricing Compare to Stock Trading Fees?

This article explains the differences between cryptocurrency and stocks and differences in fees.

Broker API

Love it or Hate it: Inside Payment for Order Flow and Commission-Free Trading Apps

Understand what payment for order flow means, how the industry works, and what the controversy is all about.

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

Risks of Automated Trading Systems

The theory behind automated trading makes it seem simple: Set up the software, program the rules and watch it trade. In reality, however, automated trading is a sophisticated method of trading, yet not infallible.