Tag: Algorithmic

Introduction As an engineer, I find joy in exploring various technologies and learning about the diverse areas where they can be applied. Algorithmic trading is one such fascinating field that is not only challenging but also quite intriguing. The prospect of writing a trading bot that can genera...

I have been on a journey since mid 2016 to learn how to trade algorithmically which is a data-driven method of using a set of rules to define buy/sell decisions on financial instruments. This is also referred to as quantitative and systems trading. Please note that I do not come from a background of...

Distinguishing authentic human-produced media from deepfakes or other algorithmically generated media is notoriously difficult. Existing tools produce a probability that given media is generated, but certainty is elusive. In the coming years, verifying the authenticity of political an...

I would like to start by saying that I’m excited to finally be able to write this article and share this project with the world. Aesir was built by a small team of developers over the course of two years. This development cycle allowed us to run through a closed and open beta and ensure tha...

Software engineers within the world of low-latency automated trading (colloquially known as “high-frequency trading” or HFT) obsess over speed. From purchasing private bandwidth between microwave towers to analyzing x86 instructions from different compiler versions, those with experience...

The Three Jugs Problem is a classic puzzle that challenges your ability to measure a specific quantity of water using three jugs of different capacities and a faucet. In this technical blog, we’ll delve into the problem formulation and explore a strategy to solve it. Problem Formulation ...

Automated Machine Learning (AutoML) plays a crucial role in crafting trading strategies driven by algorithms. In this tutorial, we’re going to walk you through AutoML, why it’s a game-changer in trading, and get you acquainted with two awesome AutoML tools, TPOT and H2O.ai. Create...

Covehithe is an expression of my deep connection to a remote stretch of coastline near my hometown in England. Rather than setting out to create literal landscape scenes I wanted to find a new authentically algorithmic interpretation of the landscape. This means using certain rudiments of landscape ...

Distinguishing authentic human-produced media from deepfakes or other algorithmically generated media is notoriously difficult. Existing tools produce a probability that given media is generated, but certainty is elusive. In the coming years, verifying the authenticity of political an...

As academics, so much of our power lies in how we frame the problems we aim to solve, in formulating the right question. Yet, the academic community dedicated to the pursuit of “fair” algorithmic systems has not taken enough time to develop the right set of questions in pursuit of thi...

You don’t notice some patterns exist until you start breaking them. Like a daily routine that you don’t notice until you miss an alarm, the unspoken rules, expectations, and assumptions present in our everyday interactions lay as dormant subtext, only bubbling to the surface when someone...

So now we have concave surfaces, we need something better than the pyramid shape to start from. I took a traces outline of an aerofoil that I wanted to extrude into 3D: Traced resolution: 0.5 in y and 1 in x To turn this into a solid I needed to extrude the points along the z direction....

So now we have concave surfaces, we need something better than the pyramid shape to start from. I took a traces outline of an aerofoil that I wanted to extrude into 3D: Traced resolution: 0.5 in y and 1 in x To turn this into a solid I needed to extrude the points along the z direction....

In algorithmic trading, mean reversion strategies are widely used to identify and exploit deviations from the average price of a financial asset. These strategies assume that prices will eventually revert back to their mean or average value. By taking advantage of these price movements, traders can ...

In algorithmic trading, mean reversion strategies are widely used to identify and exploit deviations from the average price of a financial asset. These strategies assume that prices will eventually revert back to their mean or average value. By taking advantage of these price movements, traders can ...