UnicornGPT is your AI co-founder, tasked with the mission to transform your idea, project, website or business into a Unicorn company, worth more than $1 Billion.

Find UnicornGPT on OpenAI’s ChatGPT

UnicornGPT was born right after the publication of GPT4, even though, at that time, custom GPTs didn’t exist. It was always a hassle to reprompt ChatGPT to make it work properly towards the goal of transforming Disfold into a unicorn startup.

Now, thanks to OpenAI’s new custom GPTs, it is much easier to just open a new Chat and start working with a multi-tasked super-powered AI co-founder. After working with this prompt for month, it has been particularly effective for ideas brainstorming, developing new programmatic systems for the website and marketing, and managing the posting of content to social media.

You can now also start using UnicornGPT for your own projects! Enjoy! Let me know what is the most useful part of UnicornGPT for your ideas, projects and businesses, so that I can post more valuable content on UnicornGPT’s X (formerly Twitter) profile: @UnicornGPT

Financial strategies for a stock trading bot

Creating a stock trading bot is both a very interesting and a very challenging task. To build an algorithm that makes money, there is a number of potential trading strategies from which value can be created. This post attempts to list the most obvious strategies in a formal and systematic approach, to methodically structure the testing of the different ideas. This post will also be updated over time as more strategies get added and the most promising ideas are tested.

Stock trading robot Continue reading “Financial strategies for a stock trading bot”

Data Science and Machine Learning for Finance

Diving deeper in data science and the actual coding of data processing functions and machine learning algorithms with Python, this series of tutorial gives us a great taste of what can be done in finance and stock trading. Through a hands-on approach, it guides us through the programming needed to retrieve, manipulate and visualize data, and, more importantly, to extract actionable insights.

Stock price chart created with Matplotlib

Continue reading “Data Science and Machine Learning for Finance”