SolD x CANDLsheet.

https://github.com/artificialiman/Candl-solana

https://github.com/artificialiman/Solana-Declarative

Candl is the universal fraud metadata standard for Solana that transforms how the ecosystem communicates and detects financial risk in real-time. Here's what it actually does:

Pattern Recognition Engine
Candl continuously monitors token activity across multiple dimensions - liquidity movements, volume anomalies, holder concentration, whale behavior, and historical template matching. It doesn't just look at single events but identifies repeating patterns that indicate coordinated manipulation, rug pulls, or pump-and-dump schemes.

Two-Layer Architecture

The system operates through an elegant dual-layer design. The on-chain layer stores ultra-compressed 55-byte binary metadata using Borsh serialization - only writing to blockchain when confidence thresholds are breached. The off-chain layer provides human-readable translation through dictionary decoders that platforms integrate to display clear warnings like "⚠️ Liquidity Pull Detected (3x in 5min, 85% confidence)."

Pre-Movement Detection

Unlike reactive systems, Candl identifies red flags BEFORE major dumps occur. It detects absence of timelocks, excessive marketing spends, holder concentration above 70%, and other pre-launch indicators that historically precede collapses. This gives users actionable intelligence when it matters most - before funds are lost

During-Movement Analysis

When anomalies occur, Candl's frequency-based triggering system escalates detection confidence. Three liquidity drops of 15%+ within 10 minutes? That triggers an on-chain write with 85% confidence. Coordinated whale sells matching known rug templates? Immediate pattern signature storage with deviation scores showing how far from normal the activity lies.

Post-Movement Verification

After events unfold, Candl provides immutable on-chain receipts that platforms can reference for due diligence. These serve as verifiable proof that warnings were available, protecting platforms from liability while creating an auditable trail of detected fraud patterns.

Cost-Efficient Operation

By only writing to chain when patterns are detected (estimated <0.1% of trades), Candl achieves 99.9% cost savings compared to continuous on-chain monitoring. Normal trade analysis happens off-chain and self-deletes, while black swan events create permanent, compressed fraud receipts.

Open Infrastructure
As GitHub-installable open source, any platform can integrate Candl without licensing fees. The revenue model captures 0.1% of gas fees when metadata writes occur - making it sustainable without creating barriers to adoption.

Declarative Token Launch System

Instead of writing hundreds of lines of complex Rust code, developers can define their entire token launch using intuitive HTML tags. A simple <token name="MyToken" symbol="MTK" supply="1000000"> compiles into a complete token minting program with proper SPL token standards, metadata handling, and supply controls.

SolD fundamentally changes who can build secure blockchain applications by making enterprise-grade safety accessible through simple configuration, while maintaining the full power and flexibility of native Solana smart contracts under the hood.

Ultimately, Candl doesn't prevent people from making risky trades - it ensures they can no longer claim they weren't warned. The system makes red flags objectively visible, standardized across platforms, and permanently recorded on-chain where they can't be ignored or hidden.