Tag: Algorithmic

Implementing Mean Reversion Strategies in Algorithmic Trading

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 ...

Implementing Mean Reversion Strategies in Algorithmic Trading

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 ...

Algorithmic Dysphoria: The Transgender Experience in a Data-Driven World

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...

Studying Up: Reorienting the field of algorithmic fairness around issues of power

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...

Verifying the Origin of Media in an Algorithmic World

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...

Covehithe: Algorithmic landscape

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 ...

AutoML for Algorithmic Trading Strategy Development

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...

Solving the Three Jugs Problem: A Precise Formulation and Algorithmic Approach

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 ...