It's been two weeks since my last blog post and finally a new update for Traderino is ready. As usual, let's do a small recap of what happened in the last couple of weeks. PNL plot for Traderino in the last trading session (9 days) Closed positions recap In these 9 days of trading we've … Continue reading Traderino update #1: Multistrategy testing and improved bot commands
This is the follow-up to my previous post about Traderino, a bot that trades cryptocurrency futures on Binance and reports his action on Telegram. Jump to the previous article if you want to know more, or keep reading to see what happened during his first week of simulated trading. Timing has been far from perfect … Continue reading Traderino and its first week of automated cryptocurrency trading
TLDR: I've been working on a cryptocurrency trading bot that you can follow live on Telegram. It's currently doing simulated trades on all Binance perpetual futures pairs. If the results are promising, I will run it with a real budget. If you look at the history of the channel you can see how the bot … Continue reading I’m building a cryptocurrency trading bot that you can follow live on Telegram
TLDR: I built a tool to automatically generate videos from Wikipedia pages. Check the video below or the YouTube channel if you want to see the end result or keep reading for an overview of how it works. https://www.youtube.com/watch?v=t1qjYsjPgwU Automatically generated video about Florence I've always been interested in automatic content creation, be it text … Continue reading Turn any Wikipedia article into a video, automatically
You can find some hilarious stuff (link) A couple of months ago, an idea came to mind of analyzing Wikipedia edits to discover which public institutions, companies or government agencies were contributing to Wikipedia, and what they were editing. After a quick Google search I realized that it had been done before, but the service, … Continue reading Discovering Wikipedia edits made by institutions, companies and government agencies
Web scraping refers to the process of automatically extracting structured information from websites. The amount of information available online keeps increasing every day, but it is often hard to access when an API is not available to access the data programmatically. If you work in software development, it's very likely you've already been in this situation before or are in this situation right now: if that's the case this article will give you a very quick start on how to scrape web pages using Java and the Jsoup library.