Signal Methodology – How CryptoSigy Builds Crypto Signals

1) Market Data and Feature Inputs

CryptoSigy combines exchange-level market data, price structure signals, and model-derived features to evaluate long/short setups. Coverage prioritizes liquid markets where execution quality is more reliable.

2) Signal Generation Pipeline

Signals are generated through a rules-plus-model workflow, then filtered for clarity and risk constraints before publication. The live board focuses on actionable states and updates continuously as the signal set changes.

3) Position Lifecycle and Display

• Open setups are shown in Live Signals.
• Closed setups move to Last Positions and archive snapshots.
• Displayed PnL is informational and can differ by fees, funding, slippage, and execution timing.

4) Risk Controls and Limits

Crypto markets are volatile and leveraged trading can increase losses quickly. CryptoSigy is not financial advice. Users are responsible for leverage, position sizing, stop placement, and exchange-specific risk controls.

5) Transparency, Corrections, and Governance

We keep editorial standards, corrections, and disclosure documents public so readers can audit how the platform operates.