AI-Powered stock forecasts based on technical chart analysis from multiple indicators — automatically generated signals across different investment horizons, updated daily before market open and continuously validated via walk-forward.
All analyses and forecasts are generated automatically using AI and multiple technical indicators. They are for informational purposes only and do not constitute investment advice.
Coverage includes selected assets from the DAX, MDAX, TecDAX, Dow, Nasdaq, commodities and cryptocurrencies, as well as additional assets from areas such as mining, energy and asian markets.
This value shows the average accuracy of the top 100 assets in the short term forecast horizon (ACC_SHORT). It reflects short-term forecast horizons from 1 to 5 trading days.
This value shows the average accuracy of the top 100 assets in the long term forecast horizon (ACC_LONG). It reflects longer-term forecast horizons from 20 to 60 trading days.
Learn how forecasts, probabilities and quality metrics are interpreted — and which technology powers the daily AI-based signals for stocks, indices, commodities and cryptocurrencies.
Understand the metrics overview, performance overview, prediction table, asset pages, signal history, and the practical use of short-term and long-term horizons for timing, risk and decision-making.
Learn more about the technical chart analysis pipeline: machine learning on price, volume and volatility data, multiple indicator groups, separate models per asset and horizon, and walk-forward out-of-sample validation.
Track the model quality of daily AI forecasts across different time horizons. The charts show how forecast accuracy evolves over time and how many technical signals were actually confirmed.
ACC_SHORT focuses on short-term signals. ACC_LONG evaluates longer-term forecast quality and is especially relevant for medium-term trend decisions.
The Trend Radar identifies technical trend patterns, trend-continuation setups, potential reversals, breakouts and notable model-band setups. It is based on daily updated AI forecasts for stocks, indices, commodities and cryptocurrencies.
The trend forecasts combine the historical performance of the last 60 trading days with AI forecasts over 1D, 5D, 20D and 60D. UP probabilities, model signals, signal quality and the model band are evaluated. The model band is not a fixed price target, but a quantile-based return range with a lower and upper model band. In the mini chart, the left side shows the previous 60 trading days and the right side shows the conservative AI target.
This selection highlights strong AI-based UP and DOWN signals focused on medium-term trend patterns. It combines historical model accuracy, signal strength, UP probabilities and the position within the model band.
Strong UP signals
Strong DOWN signalsTrend-continuation setups highlight existing medium-term uptrends or downtrends supported by the latest AI forecasts. The focus is on consistent trend direction, high signal quality and a supportive model-band profile.
→UP trend continues→DOWN trend continuesTrend reversals highlight potential reversal setups where the AI forecast turns against the previous medium-term price direction. These signals become more relevant when model range, probability and signal strength point to a new direction.
→DOWN to UP→UP to DOWNBreakout setups look for assets that develop a new technical signal after a previously neutral or sideways phase. The focus is on a clear model impulse, an attractive model range and robust signal strength.
→UP breakout→DOWN breakoutThis category highlights assets with particularly notable asymmetry in the model band. The model band describes a quantile-based range of possible 60D returns and helps evaluate directional signals more conservatively.
