3 Factors That Influence Gen Z's Investing Strategies and Mindset
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What drives the Gen Z investing strategy and mindset? We explore different contributing factors.
How neobanks in Latin America address consumer needs
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Here's what you need to know about neobanks in Latin America.
Coding a Cryptocurrency Trading Bot With Alpaca in Python
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Create a live-trading cryptocurrency bot in under 50 lines of code. Learn how to use live data and technical indicators in order to decide when to buy or sell Bitcoin.
How to Retrieve Free Equity Data with AlpacaMarkets.jl
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Wondering how you can pull free stock market data using AlpacaMarkets.jl? Learn more in this post.
Financial Data Streaming with Alpaca and Streamlit
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Understand how to stream financial data, particularly Open, High, Low, Close, and Volume data using Alpaca Streaming API, and plot them using Streamlit in real-time.
Understanding Alpaca’s Market Data API with Pandas and Plotly
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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.
Andean Oscillator - A New Technical Indicator Based on An Online Algorithm For Trend Analysis
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Andean Oscillator is a technical indicator based on an online algorithm and can be suitable for high-frequency trading.
Buying Crypto using Alpaca Snapshot and Crypto APIs
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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.
Add an Interactive Line Plot to your Trading App with Alpaca Market Data API
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One of the key features of Robinhood’s interface is its simple and interactive line plot. Creating a line plot that engages the user is crucial, and in the following sections, we’ll see how you can implement one for yourself using SwiftUI.
A Data Scientist’s Approach for Algorithmic Trading Using Deep Reinforcement Learning
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Let's walk through all the steps for paper trading to test a Deep Reinforcement Learning (DRL) strategy in real life.
Algorithmic Trading in Python with Alpaca: Part 1
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Get a basic understanding of how to interface Alpaca with Python.
How Blankly Finance is Making Quantitative Finance More Accessible
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No more reading API or struggling to get data. Blankly offers a powerful feature-set, optimized for speed and ease of use, better backtesting, and ultimately better models.
Using Deep Learning to Create a Stock Trading Bot
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Learn about the use of confidence intervals in stock trading to determine stop-loss and take-profit and the use of Alpaca in stock trading to track profits and test trading strategies.
Algorithmic Trading In Java with Alpaca
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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.
10 Common Compliance Challenges
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We've put together the list of top ten compliance challenges being faced and to be affronted in the near future by businesses.
How Does Crypto Fee Pricing Compare to Stock Trading Fees?
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This article explains the differences between cryptocurrency and stocks and differences in fees.
Backtesting Tutorial Using Alpaca and JavaScript
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Backtest your trading algorithm using JavaScript and Node.js with Alpaca.
A guide to linking to Alpaca in Breaking Equity: Tools for algo trading coming together
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With Breaking Equity and Alpaca combined, you can seamlessly build, test, and trade different automated strategies directly with your Alpaca account.
How to test combined technical indicators with live market trading data using the RoboBull Trading Bot
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Test out the effectiveness of technical indicators (and combining of them) with the RoboBull Trading Bot.