How Quantum AI Works

Quantum AI is democratizing smarter investing by harnessing a world’s worth of information through the power of artificial intelligence. Our AI-powered investment research platform works with you and for you, allowing investors to unlock comprehensive insights into specific companies, build and monitor curated selections of stocks and crypto, and track forecasted returns.

In partnership with IBM the world’s most robust generative AI and scientific data platform, Quantum AI combines the information from millions of news articles with macro, fundamental and technical signals, along with alternative data sources to provide forecasted returns for 1,000+ stocks, crypto and ETFs. Expect exceptional transparency as Quantum AI assigns confidence scores to each prediction, so our users know what to trade, when to trade it, and why.

With $6 billion in institutional assets already powered by our AI, our proprietary technology is now available to individual traders for the first time. Cut through the noise, seize the opportunities and uncover your next great trade with Quantum AI.

Quantum AI’s Forecasts

Quantum AI analyzes US stocks, crypto and ETFs.

Our AI transforms hundreds of complex signals and millions of data points to make predictive forecasts that are easy-to-understand. These forecasts utilize a 30 day investment horizon and various other prediction horizons are coming soon, including single day.

These forecasted returns are derived from probabilistic models which are trained to recognize patterns across a vast amount of historical data and events including market, financial, macro, technical, patent, news, social, and other data points. The models learn how different data patterns and combinations contribute to a security’s return and match patterns in the historical trained data with current real-time signal data. Unlike other AI-powered equity research platforms, each Quantum AI forecasted return is associated with a forecasted high and low based on our confidence scores. A higher confidence score results in a smaller spread between the low and high forecasts. A low confidence score will result in a wider spread.

The higher the confidence score the higher the degree of pattern recognition our AI is finding across those millions of signals, allowing you to place more trust in the return forecast.

Investors can observe all of the signals that contributed to a forecasted return and confidence scores, including the most positive and negative signals. These signals span across sentiment, technicals, fundamentals, and macro data points, and AI generative summaries are available to help investors better understand the signals and news that drove the forecasted returns and confidence scores. Forecasts are continually analyzed by our deep learning models so that the models can continuously learn and improve from each and every forecast. The strongest AI continues to learn and the strongest users of AI do as well, that is why Quantum AI is committed to complete transparency and ongoing education around our platform and AI-powered approaches in general.

Our Artificial Intelligence calculates probabilities, not certainties. The forecasts, the signals and our best ideas should be used as useful but not infallible information to complement your own investment decision process.

Our Best Ideas section highlights potential trades that Quantum AI believes have the highest probability of delivering positive returns. To do this, we combine high forecasted positive returns, confidence, and historical accuracy. We believe this mix is a winning recipe to identify not just what securities may have the highest rates of return but also the highest probability of a forecast being correct.

The two biggest drivers of the best ideas are the forecast and the confidence score, as that score already captures the historical forecast accuracy and volatility of the security. Accuracy scores primarily measure whether the forecasted positive or negative direction was correct and secondarily the difference between the forecasted value and actual price.

When you view Quantum AI’s best ideas, expect to see securities that have both high forecasts and high confidence scores. You will not see securities with extremely high forecasts and low confidence scores.

For example, a security with a high forecast and low confidence score does not mean that the forecast will not come true, just that the probability is low, similar to how one might describe a venture investment. Although we provide our best ideas, each investor will need to decide what level of risk is most appropriate for them, which is why we provide confidence scores and tools like the screeners and heatmaps.

Our Best Ideas: Crypto, Stocks and ETFs

Screeners and Heatmaps

If you want to build your own stock criteria, then Quantum AI has you covered. Use the stock screener to quickly sort through your personal criteria whether that is based on opportunity metrics such as forecast and confidence or other criteria such a sector or market capitalization.