Script Usage

Script-mode skill — read this file, then invoke from a bash block:

python3 - <<'EOF'
import sys, json
sys.path.insert(0, "/data/workspace/skills/coinglass")
from exports import funding_rate, cg_open_interest, cg_liquidations

print(funding_rate(symbol="BTC"))
print(cg_open_interest(symbol="BTC"))
EOF

Read exports.py for the full list of available functions and exact signatures. Common ones: funding_rate, long_short_ratio, cg_open_interest, cg_liquidations, cg_liquidation_analysis, cg_global_account_ratio, cg_top_account_ratio, cg_top_position_ratio, cg_taker_exchanges, cg_net_position, cg_supported_coins, cg_supported_exchanges, cg_coins_market_data, cg_pair_market_data, cg_ohlc_history, cg_hyperliquid_whale_alerts, cg_hyperliquid_whale_positions, cg_taker_volume_history, cg_aggregated_taker_volume, cg_cumulative_volume_delta, cg_coin_netflow, cg_whale_transfers, cg_btc_etf_flows, cg_eth_etf_flows, cg_sol_etf_flows.

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

Function Reference (full signatures + return shapes)

All functions live in exports.py. Most return Optional[List[Dict]] or Optional[Dict]. None means the upstream call failed or returned empty — always check before indexing.

⚠️ Field naming convention (READ THIS FIRST)

CoinGlass v4 API uses camelCase for almost all data fields, with a few legacy snake_case exceptions in liquidation endpoints. Don't assume snake_case — inspect the dict before scripting.

• camelCase: openInterest, volUsd, longRate, shortVolUsd, exchangeName, nextFundingTime, fundingIntervalHours, oichangePercent, h4OIChangePercent, avgFundingRateBySymbol, tokenAmount, liquidationUsd (in some endpoints)
• snake_case (legacy, only in cg_liquidations): liquidation_usd, longLiquidation_usd, shortLiquidation_usd
• rate fields (funding) are STRINGS with "+" / "-" / "%" — parse with float(r.rstrip('%').lstrip('+')) to compare numerically
• timestamps are millisecond unix epoch (e.g. 1777881600000)

Funding & Open Interest

Function	Signature
funding_rate(symbol, exchange=None)	dict — keys: symbol, exchange, rate (str), num_exchanges, exchanges_data (list of {exchangeName, rate, nextFundingTime, fundingIntervalHours, status})
cg_open_interest(symbol='BTC', interval='0')	LIST of dicts (one per exchange) — keys: symbol, openInterest, volUsd, oichangePercent, h4OIChangePercent, h24VolChangePercent, volChangePercent7d, avgFundingRateBySymbol, exchangeName, exchangeLogo

Long/Short Ratios

Function	Signature
long_short_ratio(symbol='BTC', interval='h4')	LIST — top item is aggregated; list field inside has per-exchange breakdown. Keys: longRate, shortRate, longVolUsd, shortVolUsd, totalVolUsd, list
cg_global_account_ratio(symbol='BTC', exchange='Binance', interval='1h')	list of historical bars
cg_top_account_ratio(symbol='BTC', exchange='Binance', interval='1h')	list — top trader account-count ratio
cg_top_position_ratio(symbol='BTC', exchange='Binance', interval='1h')	list — top trader position-size ratio
cg_taker_exchanges(symbol='BTC', range_type='4h')	list — taker buy/sell across exchanges
cg_net_position(symbol='BTC', exchange='Binance', interval='1h')	list — net long-short USD over time

Liquidations

Function	Signature
cg_liquidations(symbol='BTC', time_type='h24')	LIST of dicts (one per exchange + an 'All' row first). Keys: exchange, liquidation_usd, longLiquidation_usd, shortLiquidation_usd (NOTE: snake_case legacy fields)
cg_liquidation_analysis(symbol='BTC', time_type='h24')	dict — aggregated network-wide stats
cg_coin_liquidation_history(symbol='BTC', interval='h4')	list — historical liq bars
cg_pair_liquidation_history(symbol='BTC', exchange='Binance', interval='h4')	list — historical liq for one pair on one exchange
cg_liquidation_coin_list(symbol=None)	list of all coins with liq summary
cg_liquidation_orders(symbol='BTC', exchange=None)	list — recent individual liq orders

Futures Market Data

Function	Signature
cg_supported_coins()	List[str] — symbols supported by CoinGlass
cg_supported_exchanges()	list of exchange info dicts
cg_coins_market_data(symbol=None)	list — current snapshot for all coins (or one if symbol given)
cg_pair_market_data(symbol='BTC', exchange=None)	list — pair-level snapshot
cg_ohlc_history(symbol='BTC', interval='h4', exchange=None)	list of OHLCV bars

Hyperliquid Whale Tracking

Function	Signature
cg_hyperliquid_whale_alerts()	list — recent large-position alerts
cg_hyperliquid_whale_positions()	list — current open whale positions
cg_hyperliquid_positions_by_coin(symbol='BTC')	list — whales holding a specific coin
cg_hyperliquid_position_distribution(symbol='BTC')	dict — long/short position-size distribution

Volume / Flow

Function	Signature
cg_taker_volume_history(symbol='BTC', exchange='Binance', interval='1h', limit=1000, start_time=None, end_time=None)	list — taker buy/sell volume bars
cg_aggregated_taker_volume(symbol='BTC', interval='h4')	list — aggregated across all exchanges
cg_cumulative_volume_delta(symbol='BTC', exchange='Binance', interval='1h', limit=1000, start_time=None, end_time=None)	list — CVD bars
cg_coin_netflow(symbol=None)	list — net inflow/outflow per coin
cg_whale_transfers()	dict — recent on-chain large transfers

ETF Flows

Function	Signature
cg_btc_etf_flows()	list — daily flows per US BTC ETF
cg_btc_etf_history(etf_ticker=None)	list — historical AUM/flows
cg_btc_etf_list()	list of BTC ETF tickers + AUM
cg_btc_etf_premium_discount()	list — premium/discount % vs NAV
cg_hk_btc_etf_flows()	list — Hong Kong BTC ETF flows
cg_eth_etf_flows() / cg_eth_etf_list() / cg_eth_etf_premium_discount() / cg_hk_eth_etf_flows()	ETH ETF equivalents
cg_sol_etf_flows() / cg_sol_etf_list()	SOL ETF data
cg_xrp_etf_flows() / cg_xrp_etf_list()	XRP ETF data

Sample responses (most-used functions)

funding_rate(symbol="BTC"):

{
  "symbol": "BTC",
  "exchange": "average",
  "rate": "-0.0016%",
  "num_exchanges": 21,
  "exchanges_data": [
    {"exchangeName": "Binance", "rate": "+0.0050%",
     "nextFundingTime": 1777881600000, "fundingIntervalHours": 8, "status": 1}
  ]
}

cg_liquidations(symbol="BTC", time_type="h24"):

[
  {"exchange": "All", "liquidation_usd": 170497688.16,
   "longLiquidation_usd": 8179073.80, "shortLiquidation_usd": 162318614.36},
  {"exchange": "Bybit", "liquidation_usd": 40454694.98, ...}
]

cg_open_interest(symbol="BTC"):

[
  {"symbol": "BTC", "openInterest": 61395303653.62, "volUsd": 56349328748.42,
   "oichangePercent": 7.17, "h4OIChangePercent": 5.33,
   "avgFundingRateBySymbol": -0.001874, "exchangeName": "Binance"}
]

long_short_ratio(symbol="BTC", interval="h4"):

[{
  "symbol": "BTC", "longRate": 53.65, "shortRate": 46.35,
  "longVolUsd": 12558668895.91, "shortVolUsd": 10848776476.99,
  "totalVolUsd": 23407445372.91,
  "list": [
    {"exchangeName": "Binance", "longRate": 55.75, "shortRate": 44.25, ...}
  ]
}]

Tool Selection Guide

Decision Tree

Step 1: Is this about LIQUIDATIONS?

Liquidation query?
├─ YES → How many coins?
│   ├─ ALL coins / ranking / 排行 / 汇总
│   │   └─ → cg_liquidation_coin_list  ✅ (most liquidation queries land here)
│   ├─ ONE coin, need history over time
│   │   └─ → cg_coin_liquidation_history
│   ├─ ONE coin, specific orders (price/side/USD)
│   │   └─ → cg_liquidation_orders
│   └─ ONE coin, just a quick total + sentiment label
│       └─ → cg_liquidation_analysis  (rarely needed; only if explicitly "simple summary")

Step 2: Is this about LONG/SHORT RATIO?

Long/short query?
├─ Historical time-series, trend over time, 多空比变化
│   └─ → cg_global_account_ratio  (ALL accounts)
│      or cg_top_account_ratio    (top traders only)
│      or cg_top_position_ratio   (by position size)
└─ Current snapshot only (no history needed)
    └─ → long_short_ratio

Step 3: Is this about OPEN INTEREST?

OI query?
└─ → cg_open_interest  (always — do NOT use cg_coins_market_data for OI)

Step 4: Is this a MARKET OVERVIEW / SENTIMENT query?

Sentiment / 市场情绪 / pre-trade check?
└─ Use: funding_rate + long_short_ratio + cg_open_interest
   DO NOT use cg_coins_market_data as a substitute for any of the above

---

Keyword → Tool Lookup

Keyword / Pattern	Correct Tool	❌ Do NOT use
爆仓排行 / 今日爆仓 / all coins liquidation	cg_liquidation_coin_list	cg_liquidations
24h爆仓汇总 / liquidation summary	cg_liquidation_coin_list	cg_liquidation_analysis
全网账户多空比 / account L/S ratio	cg_global_account_ratio	long_short_ratio
头部交易者多空 / top trader ratio	cg_top_account_ratio	long_short_ratio
未平仓合约 / open interest	cg_open_interest	cg_coins_market_data
市场情绪多空分析	funding_rate + long_short_ratio + cg_open_interest	cg_coins_market_data
BTC做多检查 / pre-trade checklist	funding_rate + cg_global_account_ratio + cg_liquidation_coin_list	—

---

Common Mistakes

Mistake 1 (most common — 8x failure): Using cg_liquidations when you need cg_liquidation_coin_list

• cg_liquidations → one coin, one timeframe, basic total only
• cg_liquidation_coin_list(exchange) → ALL coins, multi-timeframe (1h/4h/12h/24h), per-exchange breakdown
• Rule: If the question asks for a ranking, overview, or doesn't specify a single coin → use cg_liquidation_coin_list

Mistake 2 (5x failure): Using cg_liquidation_analysis for liquidation rankings

• cg_liquidation_analysis adds a sentiment label to a single-coin total — it is NOT a ranking tool
• Rule: "今日爆仓排行" / "各币种爆仓" → always cg_liquidation_coin_list

Mistake 3 (3x failure): Using long_short_ratio for historical L/S analysis

• long_short_ratio is a current snapshot (no time-series)
• cg_global_account_ratio returns history — use it when the user wants trends or comparison over time
• Rule: If the question compares 全网 (global) vs 头部 (top traders) → call BOTH cg_global_account_ratio AND cg_top_account_ratio

Mistake 4 (2x failure): Using cg_coins_market_data for open interest

• cg_coins_market_data is a bulk snapshot of many coins — not a replacement for dedicated OI or L/S tools
• Rule: OI question → cg_open_interest. L/S question → long_short_ratio or cg_global_account_ratio. Never route either to cg_coins_market_data.

Rules

Tool Call Guidance

❌ FORBIDDEN TOOLS — NEVER USE:

• bash — Do NOT write scripts to process/format data. Use natural language.
• write_file / read_file / edit_file — Do NOT save intermediate data. Answer directly.
• learning_log — ONLY for genuine skill bugs or persistent API errors. NOT for empty responses.
• echo — Do NOT use for debugging or output.

✅ CORRECT PATTERN:

• Tool returns data → Summarize in natural language → Done
• Tool returns empty/null → Report "no data available" → Done
• Need calculation (%, change, ratio) → Do mental math in reply

Match tool count to question scope:

• 单一指标问题（"BTC 资金费率"、"ETH 多空比"）→ 1 个工具，直接返回
• 多维度分析（"做多是否合适"、"衍生品体检"）→ 3-5 个工具，综合分析
• 对比问题（"ETH vs SOL"）→ 每个币种调相同工具，并列对比
• 避免重复调用同一工具。 除非用户明确要求不同币种/交易所的对比。

Learning Log Usage (CRITICAL)

learning_log is FORBIDDEN for:

• ❌ Empty API responses — just report "no data available"
• ❌ Tool returning None/null — handle gracefully
• ❌ Uncertainty about tool selection — check decision tree first
• ❌ Normal tool errors — retry once, then report failure

learning_log is ONLY for:

• ✅ Genuine bugs in skill code (wrong data format returned)
• ✅ Persistent API rate limit errors after 2+ retries
• ✅ Missing tools that should exist per skill definition

ETF Tool Selection

Query	Primary Tool	Secondary Tool
BTC ETF 资金流入/流出	cg_btc_etf_flows()	cg_btc_etf_history() for detailed history
ETH ETF 资金流入/流出	cg_eth_etf_flows()	—
SOL/XRP ETF flows	cg_sol_etf_flows() / cg_xrp_etf_flows()	—
HK ETF flows	cg_hk_btc_etf_flows() / cg_hk_eth_etf_flows()	—
ETF 列表/代码	cg_btc_etf_list() / cg_eth_etf_list()	—
ETF 溢价/折价	cg_btc_etf_premium_discount()	—

ETF 对比问题 workflow:

# BTC vs ETH ETF 对比
btc = cg_btc_etf_flows()
eth = cg_eth_etf_flows()
# Compare the latest day's net flows, summarize in 2-3 sentences

Quick Routing (use this first)

Query type	Tool
爆仓/liquidation summary (24h, by coin)	cg_liquidation_coin_list
Individual liquidation orders	cg_liquidation_orders
Liquidation history for a coin	cg_coin_liquidation_history
Funding rate	funding_rate
Long/short ratio (global)	cg_global_account_ratio
Open interest	cg_open_interest
Whale activity on Hyperliquid	cg_hyperliquid_whale_alerts
ETF flows (BTC)	cg_btc_etf_flows

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