We already covered in a previous post, how important it is to deal with uncertainty in financial Deep Learning forecasts. In this post, we’ll attempt a first introduction on how we deal with explainability. Neural networks have been applied to various tasks including stock price prediction. Although highly successfully, these…

Advantages, Risks and the Importance of Human Factor — Algorithmic trading is responsible for around 60–73% of all U.S. equity trading and Global Algorithmic Trading Market is projected to surpass US$ 21,685.53 Million by 2026 [source]. The year 2023 has witnessed an unprecedented surge in Artificial Intelligence (AI) trading tools, reshaping the financial landscape. Advancements in AI research, combined…

Training hundreds of DL models based on data model templates — At Predicto, we often need to train and experiment with dedicated deep learning models for different stocks and cryptocurrencies, using similar categories of features but different data for each symbol. To streamline this process, we developed the concept of Data Model Templates (DMTs). …

An introduction to datafloat.ai — Forecasting is a journey. We learned a lot along the way. We made mistakes (we still do). In our blog we try to document those learnings as they happen. In Predicto, it’s important to iterate and experiment with different model architectures, data, ideas — fast. This lead us to develop…

How our Deep Learning Models Evolve — “The only constant in life is Change.” — Heraclitus I’m a big fan of continuity. The environment around us changes every second. Our bodies and minds continuously learn and adapt every time we experience something new. A new city, a new person, a new recipe. Technology is another example of…

Machine Learning and Deep Learning model predictions are used in applications running in your laptop, your desktop, your phone and even in your car or in your home. The list keeps growing as more smart devices enter our homes and lives, like smart vacuums, fridges and anything else you can…

After you are done reading this article you will be in a position to setup your own auto stock trader based on Deep Learning forecasting. You are going to achieve this by retrieving the latest stock forecasts from Predicto API and submitting them daily to Alpaca using your own test…

In this post we’ll talk about time travel in some way. Forecasting is all about trying to predict what the future holds. But to do that, we need to understand the past first. Not just a still snapshot of the past, but a continuous period of time. …

Hello again. In this post, we want to focus on News momentum and narratives: How narratives form in preparation for a big move. We will see with examples how those narratives are sustained until they fade out or stabilize to a new equilibrium. …