How are we going to use the AI Stack?

Machine learning

We will revolutionise the trading game with machine learning! Our algorithm will be expertly trained to identify patterns in market data, giving you the edge you need to make informed trades. With our simple linear regression model, we are predicting the future asset prices with accuracy, based on their historical performance. Join us as we embark on the new frontier of trading technology and experience the enhanced power of AI-driven decisions.

Once we have fully utilised our regression models we will move swiftly towards predictive modelling combined with our progress in natural language processing.

Predictive modelling

ActualizeAI can be trained to make predictions about future market trends based on historical data. For example, a time-series forecasting model can be used to predict stock prices or cryptocurrencies.

Natural Language Processing

We will take a two staged approach to NLP. We will install a Natural Language API as the first step to ensure pre-trained models allow us to use natural language understanding (NLU) from the start alongside training a new system to give us a comparative advantage.

We will start to train custom machine learning models for AltSignal products.! With an early approach to automating machine learning, we can classify, extract, and detect sentiment with minimum effort and expertise. We will upload trading data and test our custom model. High-quality results can come in no time by running this training alongside a NLP API.

Sentiment Analysis

We will receive multiple confirmations that a stock or crypto is viewed in a positive, negative or neutral sense. This is used to validate if the trading strategy is sound.

This will be accessed by AltSignal AI members on our new platform.

Reinforcement learning

Reinforcement learning can be best explained as the risk management layer. Our AltSignals algorithm can be used to train our own model to make trades based on rewards and penalties. ActualizeAI will learn to make optimal trade decisions over time through trial and error in our AI Members Club before public release.