Taunusstar

Taunusstar democratizes quantitative market analysis by bringing the same machine learning techniques used by top hedge funds directly to individual investors -- for free. The platform runs three independent CatBoost gradient-boosting models‚ each trained on 100+ engineered features drawn from macroeconomic indicators (FRED)‚ market data (Yahoo Finance)‚ and valuation metrics. Every trading day‚ these models produce a probability-based LONG or CASH signal for the S&P 500 across three time horizons: 3 months‚ 6 months‚ and 12 months. What makes Taunusstar unique is its multi-model consensus engine. Instead of relying on a single forecast‚ the platform aggregates signals from all three horizon models into a unified Consensus Strategy (invest only when 2+ models agree) and a Position Sizing Strategy (scale market exposure from 0% to 100% based on model agreement). This approach reduces false signals‚ manages downside risk‚ and has been stress-tested through every major market crisis in recent history. Full transparency is a core principle. Users can explore complete out-of-sample backtest results -- cumulative returns‚ drawdown analysis‚ monthly return heatmaps‚ calendar-year breakdowns‚ rolling Sharpe ratios‚ and crisis-period performance -- all validated using strict walk-forward cross-validation with zero look-ahead bias. Models retrain quarterly to adapt to evolving market conditions without overfitting to short-term noise. The result: an always-on‚ data-driven market signal that gives everyday investors the informational edge previously reserved for institutional quant desks.