Programming Archives - Quantitative Trading Ideas and Guides - AlgoTrading101 Blog

How to build LLM Agents with Magentic

Igor Radovanovic — Fri, 31 Jan 2025 14:46:05 +0000

Table of contents: What is Magentic? Magentic is an open-source framework that allows for the seamless integration of Large Language Models (LLMs) into Python code. Website: Magentic GitHub Repository: jackmpcollins/magentic: Seamlessly integrate LLMs as Python functions Why should I use Magentic? Why shouldn’t I use Magentic? What are some Magentic alternatives? Magentic alternatives are the […]

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Build a custom backtester with Python

Igor Radovanovic — Thu, 28 Mar 2024 19:32:23 +0000

Reasons to build your own custom backtester some reasons to do it: 1) Privacy 2) Transparency 3) Personalisation

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Blankly – Python Backtesting Guide

Igor Radovanovic — Thu, 20 Apr 2023 19:52:28 +0000

Blankly is an open-source Python backtester that allows algorithmic traders to build, backtest, and run their trading algorithms for stocks, crypto, futures, and forex.

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OpenBB Platform – A Complete Guide

Igor Radovanovic — Tue, 23 Jan 2024 16:00:00 +0000

Table of contents: What is the OpenBB Platform? The OpenBB Platform is an open-source modular financial analysis ecosystem. It integrates with close to 100 different data sources from asset classes such as equity, options, crypto, forex, macro economy, fixed income, alternative datasets, and more. Before we dive in deeper, take note that I’m the OpenBB […]

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LEAN Engine (on AWS) and Interactive Brokers Guide

Igor Radovanovic — Sun, 12 Nov 2023 15:10:37 +0000

Table of contents: What is the LEAN Engine? The LEAN Engine is an open-sourced algorithmic trading engine. The LEAN Engine is built by QuantConnect and seamlessly integrated with it. Link to the repository: QuantConnect/Lean: Lean Algorithmic Trading Engine by QuantConnect (Python, C#) (github.com) What is LEAN Engine used for? The LEAN Engine is mostly used […]

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Interactive Brokers Live Algo Trading with QuantConnect

Igor Radovanovic — Sun, 24 Sep 2023 13:44:32 +0000

Table of contents: What is QuantConnect? QuantConnect is an online open-source financial system that allows its user to conduct research, perform analyses, create algorithmic trading bots, backtest strategies, optimize portfolios, and more. Website: https://www.quantconnect.com What is Interactive Brokers? Interactive Brokers (IBKR) is an online brokerage that offers trading solutions for traders, investors, and advisors, with […]

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Build a Warren Buffett Chatbot using OpenAI’s API

Igor Radovanovic — Sun, 27 Aug 2023 09:50:22 +0000

Note that this article does not refer to custom GPTs. Using custom GPTs, it is possible to build a Warren Buffett chatbot without code. Learn more about custom GPTs here. Table of contents: How to build a Warren Buffett Chatbot using OpenAI? First, we will collect data on Warren Buffett’s market knowledge via video interviews. […]

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Python in Excel – PyXLL vs Microsoft

Igor Radovanovic — Sat, 21 Oct 2023 19:37:55 +0000

Table of contents What is Python in Excel? Python can be used in Excel to allow seamless integration of the Python programming language inside the Excel application. It provides many capabilities and improvements over what standard Excel offers. Why should I use Python in Excel? Why shouldn’t I use Python in Excel? What tools can […]

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Mastering Python Linters: A Guide for Developers

Igor Radovanovic — Sun, 12 Nov 2023 18:08:17 +0000

Table of contents: What are Python linters? Python linters are tools for developers that do automated code analysis. They play a crucial role in improving code quality by scanning Python code to identify syntax errors, stylistic issues, and complex constructs that deviate from best coding practices. What types of Python linters exist? Types of Python […]

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VectorBT – An Introductory Guide

Igor Radovanovic — Mon, 27 Mar 2023 11:18:09 +0000

Table of contents: What is VectorBT? VectorBT is an open-source Python library for quantitative analysis and backtesting. Link: https://vectorbt.dev/ What is VectorBT used for? VectorBT is used by algorithmic traders and investors to perform quantitative analysis, strategy testing, and research. It is built and optimized for performance and uses NumPy and Numba under the hood. […]

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