How Kroma works.

1. The Core Philosophy

Modern financial markets generate millions of data points every second. Most of this data is purely noise—random fluctuations driven by algorithms, emotional trading, and high-frequency noise.

Kroma Signal was built to ignore the noise. We do not predict the future; we provide deep contextual clarity on the present. We filter thousands of movements into a handful of robust, mathematically sound signals that humans can actually read and understand.

2. The K/2.4 Model

Our current scoring engine, Model K/2.4, evaluates assets across multiple dimensions simultaneously. A signal is only generated when these dimensions align perfectly.

• Trend Direction: Verifying the core momentum structure across multiple timeframes.
• Volume Quality: Separating retail panic/fomo from institutional accumulation.
• Sector Breadth: Confirming if the asset is moving alone or supported by its entire sector.
• Risk Structure: Measuring historical volatility and identifying safe entry/exit parameters.

3. Interpreting Thresholds

Every output on the Kroma live board is assigned a specific status and confidence score. This dictates how the information should be used.

• ACT (Score ≥ 0.80): High probability alignment. Momentum is confirmed and risk is defined.
• WATCH (Score 0.65–0.79): Conditions are developing. Requires secondary structural confirmation before taking action.
• PASS (Score < 0.65): Too much noise. Kroma rejects these setups automatically to protect your capital.

Disclaimer: Kroma Signal provides market context, not financial advice. Always execute within your own risk parameters.