QuantFai R&D Hub
Where volatility meets intelligence. The R&D Hub is the central nervous system of the AAM ecosystem, continuously generating, testing, and optimizing "Strategy Containers" to capture alpha in any market regime.
| Container ID | Asset / Strategy | Regime | 24h Return | Win Rate | Status |
|---|---|---|---|---|---|
| BTC-Trend-4H | BTC AS-EMC · 4H | Trending | +1.88% | 68.5% | Active |
| ETH-MeanRev-1H | ETH AS-EMCC · 1H | Mean-Reverting | -0.63% | 72.2% | Active |
| BTC-Scalp-15M | BTC AS-HAS · 15M | Volatile | +0.39% | 65.4% | Active |
| AVAX-Swing-12H | AVAX AS-T3 · 12H | Ranging | +0.23% | - | Paused |
| DOGE-Trend-4H | DOGE AS-EMC · 4H | Trending | +3.08% | 63.9% | Active |
| ETH-Trend-4H | ETH AS-EMC · 4H | Trending | +1.58% | 69.7% | Active |
| BTC-Swing-12H | BTC AS-T3 · 12H | Trending | +1.09% | 74.3% | Active |
| SOL-MeanRev-1H | SOL AS-EMCC · 1H | Mean-Reverting | -1.09% | 66.6% | Active |
Modular microservices encapsulating specific Asset x Strategy x Timeframe combinations (e.g., BTC / Mean Reversion / 4H). This granular approach allows for precise performance attribution.
Our Logic Layer uses AI agents to detect market regimes (Bull, Bear, Sideways) in real-time, dynamically reallocating capital to the optimal containers for the current environment.
We don't just backtest. Every strategy runs in a live "Paper Trading" sandbox with micro-allocations to validate performance against real liquidity and slippage before scaling.
The AAM Advantage
Asset Accumulation First
While others chase USD profits, we focus on accumulating the underlying asset (BTC/ETH). This "Snowball Effect" compounds gains when the market turns bullish.
Adaptive Logic
Static strategies fail when the market changes. Our AI agents adapt instantly, switching from Trend Following to Mean Reversion as volatility shifts.