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.

• Exchange feeds, asset identifiers, liquidity, and market availability can change without notice.
• Readers should verify price, contract type, fees, funding, margin mode, liquidation rules, and regional availability directly with the exchange before action.
• References to assets, protocols, or exchanges do not imply endorsement or official affiliation.

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.

Signal score is a ranking input used to organize model output, not a prediction guarantee. A higher score can still fail if liquidity, volatility, exchange execution, or broader market conditions move against the setup.

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.
• Automation and AI may assist data presentation or drafting; the accountable publisher is the CryptoSigy Editorial Desk.

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.

• Board data can lag if an exchange feed, network route, or scheduled archive job is delayed.
• Displayed PnL does not include every possible user-specific fee, funding, spread, tax, or execution condition.
• VIP visibility changes what is shown publicly, but it does not change the risk profile of a trade.

5) Transparency, Corrections, and Governance

We keep editorial standards, corrections, and disclosure documents public so readers can audit how the platform operates. Affiliate links are handled separately from signal generation, source review, and correction decisions. Nexa Vale is a disclosed fictional house persona used for a consistent editorial voice; it is not presented as a real expert. Material updates receive a real revision date rather than an automatically changing freshness date.