Seminario Creando Riqueza processes historical and real-time market data with predictive models and delivers back-tested strategies that have been systematically validated before deployment.
Request system accessOur models search decades of price data for recurring structures that are hardly noticeable when reading charts manually. Each identified correlation is checked against independent time periods before being incorporated into a signal.
Risk management is not a downstream step, but rather part of the model architecture. Position sizes and stop levels are calculated based on historical volatility patterns, not set across the board.
The models process significantly larger amounts of data than a single analyst and recognize patterns across multiple time levels simultaneously. The result is probability statements instead of general forecasts.
Signals are calculated and provided within milliseconds of data input. This reduces the delay between market insight and possible action.
Decisions are based on established rules rather than on emotional reactions in volatile phases. The system sticks to the validated logic, even if short-term market movements would tempt you to deviate.
Market, volume and volatility data are aggregated and cleaned from multiple sources before being incorporated into the models.
Each strategy is tested against historical time periods not used in training. Only strategies with stable performance over different market phases pass this step.
Confirmed patterns are translated into concrete, time-critical signals and transferred to the trading system including risk parameters.
Illustrative representation: Strategy performance per backtesting cycle compared to the reference period
The models are continuously optimized for two metrics: the ability to generate excess returns compared to a passive reference and the limitation of losing phases in volatile market periods.
Each strategy goes through multiple backtesting cycles on independent time windows before being released for productive use.
Historical backtesting results do not allow a reliable statement to be made about future market developments. All information serves for methodological classification, not as a performance promise.
Seminario Creando Riqueza is aimed at traders and private investors who already understand algorithmic methods and want to use them specifically. The platform does not replace your own market opinion, but rather provides a data-supported basis for it.
Users gain access after a brief clarification of their needs, as the strategies are configured differently depending on their trading style and risk profile.
Seminario Creando Riqueza's models scale as data volumes grow and are suitable for both individual investors and users with multiple parallel strategies.