Coinglass
Coinglass 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
When to Use Coinglass
Use Coinglass for:
- Derivatives positioning - What are leveraged traders doing?
- Whale tracking - Track large positions on Hyperliquid DEX
- Funding rates - Cost of holding perpetual futures
- Open interest - Total notional value of open positions
- Long/Short ratios - Sentiment among leveraged traders (global, top accounts, top positions)
- Liquidations - Forced position closures with heatmaps and individual orders
- Volume analysis - Taker volume, CVD, netflow patterns
- ETF flows - Institutional adoption (Bitcoin, Ethereum, Solana, XRP, Hong Kong)
- Whale transfers - Large on-chain movements (>$10M)
- Futures market data - Supported coins, exchanges, pairs, and OHLC price history
Tool Categories
1. Basic Derivatives Analytics (7 tools)
Core derivatives data for market analysis:
funding_rate(symbol, exchange?)
- Current funding rates
long_short_ratio(symbol, exchange?, interval?)
- Basic L/S ratios
- - Current OI across exchanges
cg_liquidations(symbol, time?)
- Recent liquidations
cg_liquidation_analysis(symbol)
- Liquidation heatmap analysis
- - All supported coins
- - All exchanges with pairs
2. Advanced Long/Short Ratios (6 tools)
Deep positioning analysis with multiple metrics:
cg_global_account_ratio(symbol, interval?)
- Global account-based L/S ratio
cg_top_account_ratio(symbol, exchange, interval?)
- Top trader accounts ratio
cg_top_position_ratio(symbol, exchange, interval?)
- Top positions by size
cg_taker_exchanges(symbol)
- Taker buy/sell by exchange
cg_net_position(symbol, exchange)
- Net long/short positions
cg_net_position_v2(symbol)
- Enhanced net position data
Use cases:
- Smart money tracking (top accounts vs retail)
- Exchange-specific sentiment
- Position size distribution analysis
3. Advanced Liquidations (4 tools)
Granular liquidation tracking for cascade prediction:
cg_coin_liquidation_history(symbol, interval?, limit?, start_time?, end_time?)
- Aggregated across all exchanges
cg_pair_liquidation_history(symbol, exchange, interval?, limit?, start_time?, end_time?)
- Exchange-specific pair
cg_liquidation_coin_list(exchange)
- All coins on an exchange
cg_liquidation_orders(symbol, exchange, min_liquidation_amount, start_time?, end_time?)
- Individual orders (past 7 days, max 200)
Use cases:
- Identifying liquidation clusters
- Tracking liquidation patterns over time
- Finding large liquidation events
4. Hyperliquid Whale Tracking (4 tools)
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 PnL
cg_hyperliquid_positions_by_coin()
- All positions grouped by coin
cg_hyperliquid_position_distribution()
- Distribution by size with sentiment
Use cases:
- Following smart money on Hyperliquid
- Detecting large position changes
- Tracking whale PnL and sentiment
5. Futures Market Data (5 tools)
Market overview and price data:
- - ALL coins data in one call (100+ coins)
cg_pair_market_data(symbol, exchange)
- Specific pair metrics
cg_ohlc_history(symbol, exchange, interval, limit?)
- OHLC candlesticks
cg_taker_volume_history(symbol, exchange, interval, limit?, start_time?, end_time?)
- Pair-specific taker volume
cg_aggregated_taker_volume(symbol, interval, limit?, start_time?, end_time?)
- Aggregated across exchanges
Use cases:
- Market screening (scan all coins at once)
- Price action analysis
- Volume pattern recognition
6. Volume & Flow Analysis (4 tools)
Order flow and capital movement tracking:
cg_cumulative_volume_delta(symbol, exchange, interval, limit?, start_time?, end_time?)
- CVD = Running total of (buy - sell)
- - Capital flowing into/out of coins
- - Large on-chain transfers (>$10M, past 6 months)
Use cases:
- Order flow divergence detection
- Smart money tracking
- Institutional movement monitoring
7. Bitcoin ETF Data (5 tools)
Track institutional Bitcoin adoption:
- - Daily net inflows/outflows
cg_btc_etf_premium_discount()
- ETF price vs NAV
- - Comprehensive history (price, NAV, premium%, shares, assets)
- - List of Bitcoin ETFs
- - Hong Kong Bitcoin ETF flows
Use cases:
- Institutional demand tracking
- Premium/discount arbitrage
- Regional flow comparison (US vs Hong Kong)
8. Other ETF Data (8 tools)
Ethereum, Solana, XRP, and Hong Kong ETFs:
- - Ethereum ETF flows
- - Ethereum ETF list
cg_eth_etf_premium_discount()
- ETH ETF premium/discount
- - Solana ETF flows
- - Solana ETF list
- - XRP ETF flows
- - XRP ETF list
- - Hong Kong Ethereum ETF flows
Use cases:
- Multi-asset institutional tracking
- Comparative flow analysis
- Regional preference analysis
Common Workflows
Quick Market Scan
# 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()
Deep Position Analysis
# 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
ETF Flow Monitoring
# Institutional demand
btc_flows = cg_btc_etf_flows()
eth_flows = cg_eth_etf_flows()
sol_flows = cg_sol_etf_flows()
Whale Tracking
# Follow the whales
hyperliquid_whales = cg_hyperliquid_whale_alerts()
whale_positions = cg_hyperliquid_whale_positions()
onchain_whales = cg_whale_transfers() # >$10M on-chain
Volume Analysis
# 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)
Interpretation Guides
Funding Rates
| 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.
Open Interest + Price Matrix
| 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 |
Long/Short Ratio
| 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 |
CVD (Cumulative Volume Delta)
| 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 |
ETF Flows
| 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 |
Analysis Patterns
Multi-metric confirmation: Combine tools across categories for high-confidence signals:
- Funding + L/S ratio + liquidations = positioning extremes
- CVD + taker volume + whale alerts = smart money direction
- ETF flows + whale transfers + open interest = institutional conviction
Smart money vs retail: Compare metrics to identify divergence:
- (smart money) vs (retail)
- Hyperliquid whale positions vs overall long/short ratios
Cascade prediction: Use liquidation tools to predict volatility:
cg_coin_liquidation_history
shows liquidation patterns over time
- reveals recent forced closures
- Large liquidation events = cascade risk zones
Flow divergence: Track capital movements:
- shows where money is flowing
- reveals large movements
- ETF flows show institutional demand
Performance Optimization
Batch vs Individual Calls
✅ 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")
Query Parameters
Most history endpoints support:
- : Time granularity (1h, 4h, 12h, 24h, etc.)
- : Number of records (default varies, max 1000)
- : Unix timestamp (milliseconds)
- : 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
)
Supported Exchanges
Major exchanges with futures data:
- Tier 1: Binance, OKX, Bybit, Gate, KuCoin, MEXC
- Traditional: CME (Bitcoin and Ethereum futures), Coinbase
- DEX: Hyperliquid, dYdX, ApeX
- Others: Bitfinex, Kraken, HTX, BingX, Crypto.com, CoinEx, Bitget
Use
for complete list with pair details.
Important Notes
- API Key: Requires COINGLASS_API_KEY environment variable
- Symbols: Use standard symbols (BTC, ETH, SOL, etc.) - check with
- Exchanges: Check for full list with pairs
- Update Frequency:
- Market data: ≤ 1 minute
- Funding rates: Every 8 hours (or 1 hour for some exchanges)
- OHLC: Real-time to 1 minute depending on interval
- ETF data: Daily (after market close)
- Whale transfers: Real-time (within minutes)
- API Versions:
- V4 endpoints use header (most tools)
- V2 endpoints use header (some legacy tools)
- Both work with the same COINGLASS_API_KEY environment variable
- Rate Limits: Professional plan allows 6000 requests/minute
- Historical Data Limits:
- Liquidation orders: Past 7 days, max 200 records
- Whale transfers: Past 6 months, minimum $10M
- Hyperliquid alerts: ~200 most recent large positions
- Other endpoints: Typically months to years of history
Data Quality Notes
- Hyperliquid: Data is exchange-specific, doesn't include other DEXs
- Whale Transfers: Covers Bitcoin, Ethereum, Tron, Ripple, Dogecoin, Litecoin, Polygon, Algorand, Bitcoin Cash, Solana
- ETF Data: US ETFs updated after market close (4 PM ET), Hong Kong ETFs updated after Hong Kong market close
- Liquidation Orders: Limited to 200 most recent, use heatmap for broader view
- CVD: Cumulative metric - resets are not automatic, track changes not absolute values
Version History
- v3.0.0 (2025-03): Added 36 new tools
- Advanced liquidations (5 tools)
- Hyperliquid whale tracking (5 tools)
- Volume & flow analysis (5 tools)
- Whale transfers (1 tool)
- Bitcoin ETF (6 tools)
- Other ETFs (8 tools)
- Advanced L/S ratios (6 tools)
- v2.2.0 (2024): V4 API migration with futures market data
- v1.0.0 (2024): Initial release with basic derivatives data