skills.rest
wudye
wudyeCOMMUNITY
Explore all skills by this author →
GitHub

onchain-analysis

Interpret blockchain activity and valuation metrics into a composite weighted trading bias score.

Updated May 5, 2026
Search Tags:#on-chain#mvrv#sopr#whale tracking#crypto analytics#defi liquidity#stablecoin flows
One-click install
npx skills add https://github.com/wudye/traderAssistHK --skill onchain-analysis-wudye
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: onchain-analysis
Source: https://github.com/wudye/traderAssistHK/tree/main/backend/src/skills/onchain-analysis
Command: npx skills add https://github.com/wudye/traderAssistHK --skill onchain-analysis-wudye

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It reduces guesswork in crypto investing by turning noisy blockchain activity into structured interpretations and actionable signal-style outputs.

Core Features & Use Cases

  • Network activity analysis: Evaluate active addresses, new addresses, transactions, transfer value, and activity/price relationships to judge adoption vs capital effects.
  • Whale tracking & exchange-flow monitoring: Interpret whale tier behavior, LTH/whale accumulation vs distribution patterns, and large transfer direction for selling/buying pressure hypotheses.
  • DeFi liquidity and stablecoin liquidity signals: Analyze TVL, DEX liquidity/volume, LP yield context, impermanent loss sensitivity, and stablecoin mint/burn and exchange balances as risk appetite indicators.
  • On-chain valuation metrics: Use MVRV, NVT (with smoothing), SOPR, plus supporting metrics (Puell Multiple, Stock-to-Flow, Reserve Risk, exchange balances) to frame overvaluation/undervaluation and profit-taking vs capitulation.
  • Composite scoring framework: Combine valuation, activity, capital flow, and whale behavior into a weighted bias score to support consistent decision-making.

Quick Start

Ask the AI to produce an On-Chain Analysis Report for BTC using MVRV, NVT, SOPR, active addresses, exchange balances, and whale/exchange-flow signals in a single, consolidated bias conclusion.

Frequently Asked Questions about onchain-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use on-chain metrics like MVRV and SOPR to determine crypto trading bias?▼

On-chain valuation metrics like MVRV and SOPR help determine crypto trading bias by framing overvaluation or undervaluation and identifying profit-taking versus capitulation. Combining these metrics into a composite weighted score turns blockchain activity into actionable bullish or bearish signals.

What is the best way to track whale behavior and stablecoin flows for crypto analytics?▼

Tracking whale behavior and stablecoin flows for crypto analytics involves monitoring large transfer directions, LTH accumulation patterns, and stablecoin mint/burn balances. Analyzing these capital flows alongside exchange balances provides clear risk appetite indicators and selling or buying pressure hypotheses.

How does DeFi liquidity analysis evaluate TVL and DEX depth for trading signals?▼

DeFi liquidity analysis evaluates TVL and DEX depth for trading signals by assessing liquidity pool yield context, volume, and impermanent loss sensitivity. Interpreting these liquidity metrics reveals underlying market support and capital efficiency for crypto assets.

Can I combine multiple on-chain valuation frameworks into a single consolidated bias conclusion?▼

Yes, you can combine multiple on-chain valuation frameworks into a single consolidated bias conclusion. The composite scoring framework integrates network activity, capital flow, whale behavior, and metrics like smoothed NVT and Puell Multiple into a weighted score for consistent decision-making.

When do I need on-chain analysis to interpret noisy blockchain activity for BTC and ETH?▼

You need on-chain analysis to interpret noisy blockchain activity for BTC and ETH when evaluating adoption versus capital effects. It reduces guesswork in crypto investing by structuring active addresses, transfer values, and network activity into clear trade bias signals.

What are the limitations of using on-chain signals for crypto investment research?▼

Limitations of using on-chain signals for crypto investment research include reliance on noisy raw blockchain data that requires structural interpretation. While metrics like Reserve Risk and Stock-to-Flow frame market cycles, they must be combined into weighted scores to avoid isolated metric false signals.

Related Skills

Explore More Data & Analytics Skills→
philipcoller-777philipcoller-777

onchain-analysis

Analyze on-chain data to derive crypto investment signals.

Community
Advanced
mahmoud20138mahmoud20138
10

ai-signal-aggregator

Consolidate and weight trading strategy signals into a composite directional output.

Community
Advanced
644408071-design644408071-design
1

onchain-analysis

Analyze on-chain data to generate market trend and whale behavior reports.

Community
Advanced
zubair-trabzadazubair-trabzada
44

crypto-compare

Compare two cryptocurrency tokens across valuation, tokenomics, on-chain, DeFi, sentiment, technicals, and risk.

Community
Advanced