custom-indicators

Crypto-native indicators including NVT ratio, exchange flow, funding rate signals, holder momentum, and smart money flow

By agiprolabs · 359 installs

npx skills add agiprolabs/claude-trading-skills --skill custom-indicators

Source repository · Upstream listing

Custom Crypto Indicators Why Standard TA Falls Short for Crypto Traditional technical analysis was built for equities and forex — markets with fixed supply, regulated exchanges, and institutional dominated order flow. Crypto markets have unique properties that demand purpose built indicators: On chain transparency : Every transaction is public. We can measure real economic activity, not just price and volume on a single exchange. Supply mechanics : Fixed or programmatic supply schedules make supply side analysis (velocity, holder distribution) meaningful. Derivatives dominance : Perpetual futures funding rates and open interest often drive spot price, not the other way around. Whale concentration : A small number of wallets hold outsized supply. Tracking their behavior provides alpha that equity market TA cannot. Exchange flows : On chain deposit/withdrawal to centralized exchanges signals intent to sell or accumulate. This skill covers nine crypto native indicators. Each section includes the formula, interpretation guide, data sources, and a working code snippet. Files File Description references/indicator formulas.md Full formulas, parameter tables, signal ranges for all 9 indicators references/signal interpretation.md Composite scoring, divergence detection, false signal filtering scripts/compute crypto indicators.py Computes all 9 indicators from free APIs or demo data scripts/holder momentum.py Holder count tracking with momentum signals Indicator 1: NVT Ratio Network Value to Transactions — the crypto equivalent of a P/E ratio. High NVT ( 65) : Network is overvalued relative to its economic throughput. Bearish signal. Low NVT (< 25) : Network is undervalued or seeing heavy real usage. Bullish signal. Data sources : CoinGecko (market cap), blockchain explorers or DeFiLlama (transaction volume). Smoothing : Apply a 14 day or 28 day moving average to NVT (called NVT Signal) to reduce noise from daily volume spikes. Indicator 2: MVRV Ratio Market Value to Realized Value — compares the current market cap to the aggregate cost basis of all holders. MVRV 3.5 : Most holders are in deep profit. Distribution likely. MVRV < 1.0 : Most holders are underwater. Historically marks bottoms. Data sources : Glassnode, CryptoQuant (Bitcoin/Ethereum). For Solana tokens, approximate via average entry price of top holders. For tokens without UTXO based realized cap, estimate using average purchase price from DEX trade history multiplied by circulating supply. Indicator 3: Exchange Flow Net exchange deposits minus withdrawals — signals selling or accumulation intent. Positive netflow (large deposits) : Holders moving tokens to exchanges, likely to sell. Bearish. Negative netflow (withdrawals) : Tokens leaving exchanges to cold storage. Bullish accumulation signal. Data sources : CryptoQuant, Glassnode. For Solana SPL tokens, track transfers to known exchange wallets via Helius or Solana RPC. Normalize by market cap for cross token comparison: Netflow Ratio = Netflow / Market Cap . Indicator 4: Funding Rate Signal Perpetual futures contracts use funding rates to anchor price to spot. Highly positive ( 0.05%) : Longs pay shorts. Market is overleveraged long. Contrarian bearish. Highly negative (< 0.05%) : Shorts pay longs. Overleveraged short. Contrarian bullish. Data sources : Binance, Bybit, dYdX APIs. Aggregate across exchanges for a volume weighted average. Indicator 5: Open Interest Momentum Tracks the rate of change in total open interest across derivatives exchanges. Rising OI + Rising Price : New money entering longs. Trend confirmation. Rising OI + Falling Price : New shorts opening. Bearish pressure. Falling OI + Rising Price : Short squeeze / closing shorts. Falling OI + Falling Price : Long liquidation. Data sources : CoinGlass, Binance, Bybit open interest endpoints. Indicator 6: Holder Momentum Tracks the net change in unique token holders over time. Accelerating growth : Viral adoption phase. Bullish. Decelerating growth : Adoption slowing. Watch for reversal. Negative momentum : Holders leaving. Bearish. Data sources : Helius DAS API (Solana), Etherscan token holder count, Birdeye holder stats. See scripts/holder momentum.py for a full tracking implementation. Indicator 7: Liquidity Score A composite metric combining order book depth, bid ask spread, and DEX pool depth to estimate how easily a position can be entered/exited. Where: Depth Score = min(1, total bids within 2pct / target position size) Spread Score = max(0, 1 spread bps / 100) Pool Score = min(1, pool tvl / (target position size 10)) Default weights: w1=0.4, w2=0.3, w3=0.3 Indicator 8: Smart Money Flow Net buying pressure from wallets identified as "smart money" (historically profitable, large balances, early entry patterns). SMF Ratio 0.1 : Smart money is net accumulating. Bullish. SMF Ratio < 0.1 : Smart money is distributing. Bearish. Data sources : Helius transaction parsing + wallet labeling, Birdeye wallet analytics, Nansen (Ethereum). Indicator 9: Token Velocity Measures how frequently a token changes hands relative to its supply. High velocity ( 0.3) : Speculative trading dominates. Token is being flipped, not held. Can precede dumps. Low velocity (< 0.05) : Holders are sitting tight. Strong hands. Data sources : CoinGecko (volume, supply), DEX aggregator volumes. Combining Indicators No single indicator is reliable in isolation. See references/signal interpretation.md for guidance on: Building composite scores from multiple indicators Detecting divergences (e.g., price rising but NVT expanding) Adjusting interpretation by market regime Filtering false signals Dependencies Disclaimer All indicators and analysis provided by this skill are for informational and educational purposes only. They do not constitute financial advice. Always conduct your own research before making any investment decisions.