When a sudden surge in on‑chain activity meets a break of the 4‑hour resistance, the algo lights up.
Our model continuously scans for three key triggers: a spike in net inflows on the blockchain, an order‑book imbalance that pushes buying pressure above 60 % of total volume, and a bullish RSI divergence on the 1‑hour chart. Yesterday all three aligned, the 4‑hour candle closed above the previous high, and the system entered a long position.
The trade closed at +4.4 %, adding to a current window win‑rate of 65 % (379 wins out of 579 signals). We log every trade—including losses—so you can verify the walk‑forward performance (~53 % win‑rate) and max drawdown (~70
Our model continuously scans for three key triggers: a spike in net inflows on the blockchain, an order‑book imbalance that pushes buying pressure above 60 % of total volume, and a bullish RSI divergence on the 1‑hour chart. Yesterday all three aligned, the 4‑hour candle closed above the previous high, and the system entered a long position.
The trade closed at +4.4 %, adding to a current window win‑rate of 65 % (379 wins out of 579 signals). We log every trade—including losses—so you can verify the walk‑forward performance (~53 % win‑rate) and max drawdown (~70