coinglass

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
• cg_open_interest(symbol) - Current OI across exchanges
• cg_liquidations(symbol, time?) - Recent liquidations
• cg_liquidation_analysis(symbol) - Liquidation heatmap analysis
• cg_supported_coins() - All supported coins
• cg_supported_exchanges() - 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:

• cg_coins_market_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)
• cg_coin_netflow() - Capital flowing into/out of coins
• cg_whale_transfers() - 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:

• cg_btc_etf_flows() - Daily net inflows/outflows
• cg_btc_etf_premium_discount() - ETF price vs NAV
• cg_btc_etf_history() - Comprehensive history (price, NAV, premium%, shares, assets)
• cg_btc_etf_list() - List of Bitcoin ETFs
• cg_hk_btc_etf_flows() - 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:

• cg_eth_etf_flows() - Ethereum ETF flows
• cg_eth_etf_list() - Ethereum ETF list
• cg_eth_etf_premium_discount() - ETH ETF premium/discount
• cg_sol_etf_flows() - Solana ETF flows
• cg_sol_etf_list() - Solana ETF list
• cg_xrp_etf_flows() - XRP ETF flows
• cg_xrp_etf_list() - XRP ETF list
• cg_hk_eth_etf_flows() - 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:

• cg_top_account_ratio (smart money) vs cg_global_account_ratio (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
• cg_liquidation_orders reveals recent forced closures
• Large liquidation events = cascade risk zones

Flow divergence: Track capital movements:

• cg_coin_netflow shows where money is flowing
• cg_whale_transfers 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:

• 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
)

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 cg_supported_exchanges() 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 cg_supported_coins()
• Exchanges: Check cg_supported_exchanges() 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 CG-API-KEY header (most tools)
  • V2 endpoints use coinglassSecret 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