Deep Forecasting Insights
published on Predicto, Jun 5th 2022


Photo by Matt Ridley on Unsplash
In an effort to make Predicto more user friendly, we are now surfacing human readable explainability information of our deep learning forecasts in the form of insights. In order to detect which features "highly influence" a forecast, Predicto generates the same forecast several times by omitting specific features and observing how this affects the outcome. Whenever PredictoAI detects a clear influence of one or more features on the outcome of a forecast, you will now see an insight box in the symbol's card. Read more
Daily Briefing in your inbox
published on Predicto, Jan 22nd 2022


Today we are happy to announce a new feature of Predicto, the Daily Briefing, which is available for both the Stock and Crypto Market! Read more
Forecasting News Coverage
An introduction to datafloat.ai
published on Medium, Jul 25th 2021


Photo by Good Good Good on Unsplash
Today, we'll go through an example that showcases the simplicity of datafloat.ai - the No-Code AI Forecasting Platform and how easy it makes it for anyone to create Deep Learning explainable forecasting models with a few clicks - no deep learning experience required. Datafloat is the platform that powers hundreds of models used by Predicto and generates hundreds of forecasts daily. Read more
Announcing Datafloat.ai
published on Predicto, Jun 16th 2021


During the last few months, we have been working on refactoring our forecasting platform, making it general-purpose and highly scalable. This effort led to datafloat.ai. Read more
Announcing Cryptocurrency Forecasting
published on Predicto, Jun 13th 2021


Photo by Executium on Unsplash
Crypto is here to stay. As you might have noticed, Cryptocurrency market is extremely volatile and easily affected by trending news and high profile tweets. As a result, we decided to start tracking a small list of cryptocurrencies as a side project. Read more
Continuous Integration & Experimentation
How our Deep Learning Models Evolve
published on Medium, Jun 9th 2021


Today I want to talk about the importance of continuous experimentation and continuous integration. And about why it is important to invest in building a solid infrastructure that supports those concepts early on. Read more
Monitoring Forecasting Models at Scale
published on Medium, Feb 22nd 2021


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 imagine. Performance monitoring is critical, as it allows to pinpoint issues early, debug and update as needed. Read more
Introducing Predicto Market Outlook
published on Predicto, Feb 14th 2021


Currently, Predicto tracks around 150 stocks, including the entire Nasdaq-100 list. For every single one of those stocks we maintain at least 3 different Deep Learning models, sometimes more based on our experimentation. This means we maintain and occasionally retrain more than 450 models. Read more
Using Predicto - A beginner's guide
published on Predicto, Dec 29th 2020


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When first signing up for Predicto, you might be overwhelmed with all the information you are suddenly exposed to. This is normal. You don't have to be a Deep Learning expert to use Predicto but it is important to know its building blocks. Going through this guide will help you understand how to use our platform the right way from Day One! Read more
How to Build your Personal Automated Stock Trading Agent using Deep Learning Forecasts in Python
published on Medium, Dec 8th 2020


Photo by Christopher Burns on Unsplash
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 account. You can be up and running in a couple of hours! Read more
Understanding Deep Learning Forecasts over Time
published on Medium, Nov 10th 2020


Photo by Thomas Bormans on Unsplash
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. We'll present how we are able to visualize our Deep Learning models' "vision" over time, kind of like a movie. Read more
Explaining Financial Deep Learning Forecasts
published on The Startup ‐ Build Something Awesome. on Medium, September 16th 2020
featured on Machine Learning on Medium


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 models are frequently treated as black boxes. In most cases we know that the performance on the test data is satisfying, but we do not know why the model came up with a specific output. Read more
Studying news momentum and narratives
published on Medium, July 18th 2020


Photo by Nick Jones on Unsplash
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. This idea has been described in Narrative Economics book by Robert Shiller, where he tries to set a foundation on narrative economics and show how stories go viral and can drive major economic events. Read more
Studying volatility, uncertainty and news - Case study #1
published on Medium, June 7th 2020


Photo by Pablo García Saldaña on Unsplash
In this post, we’ll share some of our thoughts on how to study market volatility and news. We’ll give you some pointers on how we at Predic.to deal with volatility and uncertainty in order to understand risk involved at any given time. This is a continuation of our series of posts about Investing + Deep Learning. Read more
Investing + Deep Learning - an introduction
published on Medium, June 1st 2020


Photo by Hans Eiskonen on Unsplash
In the last few years, Hedge Funds and Financial Institutions have been investing in building strong Data Science and ML/DL teams. It’s no secret in those circles that there is value in using Big and Deep Data to get valuable insights about investment decisions, short term or long term. Read more