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Try itnpx skills add https://github.com/starchild-ai-agent/official-skills --skill coinglassCoinglass provides the most comprehensive crypto derivatives and institutional data available. 37 tools covering futures positioning, whale tracking, volume analysis, liquidations, and ETF flows.
API Plan: Professional ($699/month) Rate Limit: 6000 requests/minute API Version: V4 (with V2 backward compatibility) Total Tools: 37 across 8 categories
Use Coinglass for:
Core derivatives data for market analysis:
funding_rate(symbol, exchange?) - Current funding rateslong_short_ratio(symbol, exchange?, interval?) - Basic L/S ratioscg_open_interest(symbol) - Current OI across exchangescg_liquidations(symbol, time?) - Recent liquidationscg_liquidation_analysis(symbol) - Liquidation heatmap analysiscg_supported_coins() - All supported coinscg_supported_exchanges() - All exchanges with pairsDeep positioning analysis with multiple metrics:
cg_global_account_ratio(symbol, interval?) - Global account-based L/S ratiocg_top_account_ratio(symbol, exchange, interval?) - Top trader accounts ratiocg_top_position_ratio(symbol, exchange, interval?) - Top positions by sizecg_taker_exchanges(symbol) - Taker buy/sell by exchangecg_net_position(symbol, exchange) - Net long/short positionscg_net_position_v2(symbol) - Enhanced net position dataUse cases:
Granular liquidation tracking for cascade prediction:
cg_coin_liquidation_history(symbol, interval?, limit?, start_time?, end_time?) - Aggregated across all exchangescg_pair_liquidation_history(symbol, exchange, interval?, limit?, start_time?, end_time?) - Exchange-specific paircg_liquidation_coin_list(exchange) - All coins on an exchangecg_liquidation_orders(symbol, exchange, min_liquidation_amount, start_time?, end_time?) - Individual orders (past 7 days, max 200)Use cases:
Track large traders on Hyperliquid DEX (~200 recent alerts):
cg_hyperliquid_whale_alerts() - Recent large position opens/closes (>$1M)cg_hyperliquid_whale_positions() - Current whale positions with PnLcg_hyperliquid_positions_by_coin() - All positions grouped by coincg_hyperliquid_position_distribution() - Distribution by size with sentimentUse cases:
Market overview and price data:
cg_coins_market_data() - ALL coins data in one call (100+ coins)cg_pair_market_data(symbol, exchange) - Specific pair metricscg_ohlc_history(symbol, exchange, interval, limit?) - OHLC candlestickscg_taker_volume_history(symbol, exchange, interval, limit?, start_time?, end_time?) - Pair-specific taker volumecg_aggregated_taker_volume(symbol, interval, limit?, start_time?, end_time?) - Aggregated across exchangesUse cases:
Order flow and capital movement tracking:
cg_cumulative_volume_delta(symbol, exchange, interval, limit?, start_time?, end_time?) - CVD = Running total of (buy - sell)cg_coin_netflow() - Capital flowing into/out of coinscg_whale_transfers() - Large on-chain transfers (>$10M, past 6 months)Use cases:
Track institutional Bitcoin adoption:
cg_btc_etf_flows() - Daily net inflows/outflowscg_btc_etf_premium_discount() - ETF price vs NAVcg_btc_etf_history() - Comprehensive history (price, NAV, premium%, shares, assets)cg_btc_etf_list() - List of Bitcoin ETFscg_hk_btc_etf_flows() - Hong Kong Bitcoin ETF flowsUse cases:
Ethereum, Solana, XRP, and Hong Kong ETFs:
cg_eth_etf_flows() - Ethereum ETF flowscg_eth_etf_list() - Ethereum ETF listcg_eth_etf_premium_discount() - ETH ETF premium/discountcg_sol_etf_flows() - Solana ETF flowscg_sol_etf_list() - Solana ETF listcg_xrp_etf_flows() - XRP ETF flowscg_xrp_etf_list() - XRP ETF listcg_hk_eth_etf_flows() - Hong Kong Ethereum ETF flowsUse cases:
# Get everything in 3 calls
all_coins = cg_coins_market_data() # 100+ coins with full metrics
btc_liquidations = cg_liquidations("BTC")
whale_alerts = cg_hyperliquid_whale_alerts()
# BTC positioning across metrics
cg_global_account_ratio("BTC") # Retail sentiment
cg_top_account_ratio("BTC", "Binance") # Smart money
cg_net_position_v2("BTC") # Net positioning
cg_liquidation_heatmap("BTC", "Binance") # Cascade levels
# Institutional demand
btc_flows = cg_btc_etf_flows()
eth_flows = cg_eth_etf_flows()
sol_flows = cg_sol_etf_flows()
# Follow the whales
hyperliquid_whales = cg_hyperliquid_whale_alerts()
whale_positions = cg_hyperliquid_whale_positions()
onchain_whales = cg_whale_transfers() # >$10M on-chain
# Order flow
cvd = cg_cumulative_volume_delta("BTC", "Binance", "1h", 100)
netflow = cg_coin_netflow() # All coins
taker_vol = cg_aggregated_taker_volume("BTC", "1h", 100)
| Rate (8h) | Read |
|---|---|
| > +0.05% | Extreme greed — crowded long, squeeze risk |
| +0.01% to +0.05% | Bullish bias, normal |
| -0.005% to +0.01% | Neutral |
| -0.05% to -0.005% | Bearish bias, normal |
| < -0.05% | Extreme fear — crowded short, bounce risk |
Extreme funding often precedes reversals. The crowd is usually wrong at extremes.
| OI | Price | Read |
|---|---|---|
| Up | Up | New longs entering — bullish conviction |
| Up | Down | New shorts entering — bearish conviction |
| Down | Up | Short covering — weaker rally, less conviction |
| Down | Down | Long liquidation — weaker selloff, capitulation |
| Ratio | Read |
|---|---|
| > 1.5 | Crowded long — contrarian bearish |
| 1.1–1.5 | Moderately bullish |
| 0.9–1.1 | Balanced |
| 0.7–0.9 | Moderately bearish |
| < 0.7 | Crowded short — contrarian bullish |
| Pattern | Read |
|---|---|
| CVD rising, price rising | Strong buy pressure, healthy uptrend |
| CVD falling, price rising | Weak rally, distribution |
| CVD rising, price falling | Accumulation, potential bottom |
| CVD falling, price falling | Strong sell pressure, healthy downtrend |
| Flow | Read |
|---|---|
| Large inflows | Institutional buying, bullish |
| Consistent inflows | Sustained demand |
| Large outflows | Institutional selling, bearish |
| Premium to NAV | High demand, bullish sentiment |
| Discount to NAV | Weak demand, bearish sentiment |
Multi-metric confirmation: Combine tools across categories for high-confidence signals:
Smart money vs retail: Compare metrics to identify divergence:
cg_top_account_ratio (smart money) vs cg_global_account_ratio (retail)Cascade prediction: Use liquidation tools to predict volatility:
cg_coin_liquidation_history shows liquidation patterns over timecg_liquidation_orders reveals recent forced closuresFlow divergence: Track capital movements:
cg_coin_netflow shows where money is flowingcg_whale_transfers reveals large movements✅ OPTIMAL: Use batch endpoints
# One call gets 100+ coins
all_coins = cg_coins_market_data()
# One call gets all whale alerts
whales = cg_hyperliquid_whale_alerts()
# One call gets all ETF flows
btc_etf = cg_btc_etf_flows()
❌ INEFFICIENT: Multiple individual calls
# Don't do this - wastes API quota
btc = cg_pair_market_data("BTC", "Binance")
eth = cg_pair_market_data("ETH", "Binance")
sol = cg_pair_market_data("SOL", "Binance")
Most history endpoints support:
interval: Time granularity (1h, 4h, 12h, 24h, etc.)limit: Number of records (default varies, max 1000)start_time: Unix timestamp (milliseconds)end_time: Unix timestamp (milliseconds)Example:
cg_coin_liquidation_history(
symbol="BTC",
interval="1h",
limit=100,
start_time=1704067200000, # 2024-01-01
end_time=1704153600000 # 2024-01-02
)
Major exchanges with futures data:
Use cg_supported_exchanges() for complete list with pair details.
cg_supported_coins()cg_supported_exchanges() for full list with pairsCG-API-KEY header (most tools)coinglassSecret header (some legacy tools)