Decide with data, not instinct.
Predictive intelligence to optimize investments in real time. Community verified results.
View performance logs
Predictive intelligence to optimize investments in real time. Community verified results.
View performance logsHorizonte Trancheerax processes market sources, price history and context variables to generate concrete recommendations. It does not replace your judgment: it reduces the time you spend filtering noise before deciding.
The system is used for personal portfolios, B2B market analysis and risk management in recurring operations. Each recommendation is recorded so it can be reviewed later.
The system follows a three-phase cycle. Each phase filters information before moving on to the next, so what reaches your dashboard is already refined.
The engine collects data on price, volume and macro variables from multiple public sources, continuously throughout the day.
Predictive models cross-reference historical patterns with current conditions and rule out signals with low statistical probability.
Opportunities that exceed the threshold are converted into concrete recommendations, with risk level and justification included.
Each recommendation issued is recorded with date and result. Entries are not deleted, even if the result is negative.
| Date | Strategy | Risk level | Status |
|---|---|---|---|
| Week 09 | Diversified Portfolio A | Moderate | Closed |
| Week 10 | B2B market — short cycle | Low | Closed |
| Week 11 | Algorithmic Exposure B | High | In progress |
The engine discards trades with hidden correlations and limits exposure when volatility exceeds defined parameters. You set the limit; the system respects it.
The recommendations are adjusted to the volume of available capital. The same model works with small contributions or with larger portfolios, without changing logic.
You define time horizon and risk tolerance just once. The system filters out opportunities that don't fit before showing them to you.
Continuous rebalancing according to detected volatility, without daily manual intervention.
Monitoring demand variables to anticipate cycle changes before they are reflected in the price.
Exposure limits defined by the user, applied automatically in each recommendation.
Access the dashboard, consult public records and decide if the model fits your way of investing.