Trading Archives - Quantitative Trading Ideas and Guides - AlgoTrading101 Blog

QuiverQuant – An Introductory Guide to Alternative Data

Igor Radovanovic — Thu, 17 Oct 2024 20:00:34 +0000

Table of contents: What is QuiverQuant? QuiverQuant is an alternative data aggregator and online platform. Link: https://www.quiverquant.com What is QuiverQuant used for? QuiverQuant is primarily used for obtaining alternative data through their online dashboard and/or programmatically via the Quiver API. Why should I use QuiverQuant? Why shouldn’t I use QuiverQuant? Is QuiverQuant free? QuiverQuant follows […]

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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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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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Bing Chat for Finance – An Exploratory Guide

Igor Radovanovic — Wed, 05 Jul 2023 19:25:47 +0000

Table of contents: What is Bing Chat? Bing Chat is a ChatGPT alternative that uses real-time current data to analyse, code, write, and answer questions. It is a Large-Language-Model (LLM) developed by Microsoft and OpenAI and is built on the same technology as ChatGPT. Bing Chat only works on the Microsoft Edge browser What is […]

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Google Gemini for Finance – An Exploratory Guide

Igor Radovanovic — Wed, 05 Jul 2023 18:19:53 +0000

Table of contents: What is Google Gemini? Google Gemini, formerly known as Google Bard, is a ChatGPT alternative that uses real-time current data to analyse, code, write, and answer questions. It is a Large Language Model (LLM) developed by Google. URL: https://gemini.google.com/app Note that this article a updated version of our “Google Bard for Finance” […]

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Auto-GPT for Finance – An Exploratory Guide

Igor Radovanovic — Fri, 21 Apr 2023 18:37:07 +0000

Table of contents: What is Auto-GPT? Auto-GPT is a self-prompting GPT-4 model that achieves the user’s goals without requiring the user to input appropriate prompts. GPT-4 is the technology used in ChatGPT. This means that you give Auto-GPT a big task, and Auto-Gpt will ask itself questions, analyse the answer, ask itself another question, and […]

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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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