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NFTs vs SOL - Momentum Divergence Detection
NFTs vs SOL – Momentum Divergence Detection:
See when NFT activity (proxy volumes) leads or lags SOL momentum.
This is an indicator that I designed to compare Solana’s price momentum with aggregated NFT market activity. It converts both into standardized z-scores for direct comparison, then measures their divergence. The resulting signal highlights when NFT trading activity begins to move ahead of, or behind, SOL price action.
Core Function:
• Measures SOL’s momentum using Rate of Change (ROC), then standardizes and smooths it.
• Combines multiple NFT-related token volumes (BLUR, LOOKS, TNSR, MAGIC, APE, optionally ME and PENGU), applies log normalization, weighting, and smoothing to form a composite NFT activity score.
• Plots their difference (NFT Z − SOL Z) as a histogram to visualize lead/lag phases.
Interpretation:
• div > 0: NFT activity exceeds SOL momentum → potential early signal for upside.
• div < 0: NFT activity trails SOL momentum → possible cooling or lag.
• Zero-line crosses: indicate leadership changes between NFTs and SOL.
On-Chart Visualization:
• Orange histogram: divergence (lead/lag strength).
• Purple line: NFT composite z-score.
• Blue line: SOL momentum z-score.
• Green/Red markers: lead or lag signals.
• Top-right table: rolling correlation and active proxies.
Usage:
Apply to 30m–1D charts.
Enter exchange-prefixed NFT tickers (e.g., KUCOIN:BLURUSDT).
Adjust weights to emphasize liquid tokens.
Interpret lead/lag crosses within the broader market structure, using trend and volume as confirmation.
Recommended Presets:
• Swing trading: 1D or 4H charts, smoother settings for stability.
• Active setups: 2H or 1H charts, lower smoothing for responsiveness.
Key Notes:
• Requires valid tickers and sufficient lookback history.
• Use crosses as context, not direct trade signals.
• High correlation = synchronous behavior; low correlation = decoupled regime.
Summary:
A contextual radar for Solana traders tracking NFT market flow. It helps identify when NFT trading activity begins leading or lagging SOL’s momentum which often signals shifts in speculative energy and trend strength.
Pine Script®
See when NFT activity (proxy volumes) leads or lags SOL momentum.
This is an indicator that I designed to compare Solana’s price momentum with aggregated NFT market activity. It converts both into standardized z-scores for direct comparison, then measures their divergence. The resulting signal highlights when NFT trading activity begins to move ahead of, or behind, SOL price action.
Core Function:
• Measures SOL’s momentum using Rate of Change (ROC), then standardizes and smooths it.
• Combines multiple NFT-related token volumes (BLUR, LOOKS, TNSR, MAGIC, APE, optionally ME and PENGU), applies log normalization, weighting, and smoothing to form a composite NFT activity score.
• Plots their difference (NFT Z − SOL Z) as a histogram to visualize lead/lag phases.
Interpretation:
• div > 0: NFT activity exceeds SOL momentum → potential early signal for upside.
• div < 0: NFT activity trails SOL momentum → possible cooling or lag.
• Zero-line crosses: indicate leadership changes between NFTs and SOL.
On-Chart Visualization:
• Orange histogram: divergence (lead/lag strength).
• Purple line: NFT composite z-score.
• Blue line: SOL momentum z-score.
• Green/Red markers: lead or lag signals.
• Top-right table: rolling correlation and active proxies.
Usage:
Apply to 30m–1D charts.
Enter exchange-prefixed NFT tickers (e.g., KUCOIN:BLURUSDT).
Adjust weights to emphasize liquid tokens.
Interpret lead/lag crosses within the broader market structure, using trend and volume as confirmation.
Recommended Presets:
• Swing trading: 1D or 4H charts, smoother settings for stability.
• Active setups: 2H or 1H charts, lower smoothing for responsiveness.
Key Notes:
• Requires valid tickers and sufficient lookback history.
• Use crosses as context, not direct trade signals.
• High correlation = synchronous behavior; low correlation = decoupled regime.
Summary:
A contextual radar for Solana traders tracking NFT market flow. It helps identify when NFT trading activity begins leading or lagging SOL’s momentum which often signals shifts in speculative energy and trend strength.
Copyright © 2025 imaclone (Zen Silva). All rights reserved.
License: Private. No copying, sharing, or derivative works.
نص برمجي محمي
تم نشر هذا النص البرمجي كمصدر مغلق. ومع ذلك، يمكنك استخدامه بحرية ودون أي قيود - تعرف على المزيد هنا.
imaCŁ◎NΞ.x | TA & Market Analysis | x.com/DJC4ndyM4n | imacl.one | https://imaclone.x
PGP Public Key: pastebin.com/aYgSg6m6
PGP Public Key: pastebin.com/aYgSg6m6
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.
نص برمجي محمي
تم نشر هذا النص البرمجي كمصدر مغلق. ومع ذلك، يمكنك استخدامه بحرية ودون أي قيود - تعرف على المزيد هنا.
imaCŁ◎NΞ.x | TA & Market Analysis | x.com/DJC4ndyM4n | imacl.one | https://imaclone.x
PGP Public Key: pastebin.com/aYgSg6m6
PGP Public Key: pastebin.com/aYgSg6m6
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView. اقرأ المزيد في شروط الاستخدام.