Predictive Analytics Platform
Optimize your returns with predictive analytics and real-time backtested data.
Models validated over long market histories, before any deployment in real conditions.
Methodology
Asstranet combines statistical modeling and processing massive volumes of market data. Each recommendation is based on verifiable history, not an isolated forecast.
Our models are developed internally and continuously adjusted according to market developments, without dependence on external generic solutions.
The processing concerns extensive data series, crossing several sources to limit bias linked to a restricted sample.
Each scenario is stress-tested over periods of high volatility before being proposed as a basis for decision.
Proof by data
No strategy is released without having gone through the entire validation process below.
Aggregation of market data, financial flows and sector indicators, continuously updated to reflect real conditions.
Construction of statistical models adjusted to observed dynamics, with weighting of variables according to their measured explanatory power.
Each model is compared with past data over several market cycles before being retained as a basis for decision.
Applications
Designed for young professionals who are diversifying their income and for decision-makers who must make decisions under time constraints.
Adjustment of asset allocation according to backtested scenarios, taking into account the investment horizon and the level of risk tolerated.
Informed decisions
Cross-reading of sectoral indicators to identify relevant signals in a volume of information that is difficult to process manually.
Save time
Detection of critical exposures and simulation of adverse scenarios before capital commitment.
Risk reduction
Data transparency
Data processing complies with GDPR requirements: minimization of collection, localized hosting and traceability of access.
The models are based on documented and reproducible statistical methods, tested on historical datasets before any operational use.
No future performance is guaranteed. Backtesting results reflect past market conditions.
About
Asstranet is aimed at professionals who want to understand the reasoning behind a recommendation, not just receive the result.
The technical team documents each model and publishes the validation parameters used, so that each user can assess the reliability of a strategy before committing to it.
Access Asstranet's backtested models and integrate predictive analysis into your decision-making process.