coinglass

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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
Coinglass提供市面上最全面的加密货币衍生品及机构数据。涵盖期货持仓、鲸鱼追踪、成交量分析、强平数据、ETF资金流等37款工具。
API套餐: 专业版(699美元/月) 速率限制: 6000次请求/分钟 API版本: V4(兼容V2版本) 工具总数: 8大类共37款工具

When to Use Coinglass

何时使用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
Coinglass适用于以下场景:
  • 衍生品持仓分析 - 杠杆交易者的操作动向如何?
  • 鲸鱼追踪 - 追踪Hyperliquid DEX上的大额持仓
  • 资金费率 - 永续期货的持仓成本
  • 持仓量 - 未平仓合约的总名义价值
  • 多空比 - 杠杆交易者的市场情绪(全球、顶级账户、顶级持仓)
  • 强平数据 - 带热力图和单笔订单的强制平仓记录
  • 成交量分析 - 主动成交量、CVD、资金流模式
  • ETF资金流 - 机构配置情况(比特币、以太坊、Solana、XRP、香港地区)
  • 鲸鱼转账 - 链上大额转账(>1000万美元)
  • 期货市场数据 - 支持的币种、交易所、交易对及OHLC价格历史

Tool Categories

工具分类

1. Basic Derivatives Analytics (7 tools)

1. 基础衍生品分析(7款工具)

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
用于市场分析的核心衍生品数据:
  • funding_rate(symbol, exchange?)
    - 当前资金费率
  • long_short_ratio(symbol, exchange?, interval?)
    - 基础多空比
  • cg_open_interest(symbol)
    - 跨交易所的当前持仓量
  • cg_liquidations(symbol, time?)
    - 近期强平数据
  • cg_liquidation_analysis(symbol)
    - 强平热力图分析
  • cg_supported_coins()
    - 所有支持的币种
  • cg_supported_exchanges()
    - 所有提供交易对的交易所

2. Advanced Long/Short Ratios (6 tools)

2. 进阶多空比分析(6款工具)

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
包含多指标的深度持仓分析:
  • cg_global_account_ratio(symbol, interval?)
    - 基于全球账户的多空比
  • cg_top_account_ratio(symbol, exchange, interval?)
    - 顶级交易账户的多空比
  • cg_top_position_ratio(symbol, exchange, interval?)
    - 按规模划分的顶级持仓
  • cg_taker_exchanges(symbol)
    - 各交易所的主动买卖量
  • cg_net_position(symbol, exchange)
    - 净多/净空持仓
  • cg_net_position_v2(symbol)
    - 增强版净持仓数据
适用场景:
  • 聪明资金追踪(顶级账户 vs 散户)
  • 特定交易所的市场情绪
  • 持仓规模分布分析

3. Advanced Liquidations (4 tools)

3. 进阶强平分析(4款工具)

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
用于预测行情瀑布的精细化强平追踪:
  • cg_coin_liquidation_history(symbol, interval?, limit?, start_time?, end_time?)
    - 跨交易所汇总数据
  • cg_pair_liquidation_history(symbol, exchange, interval?, limit?, start_time?, end_time?)
    - 特定交易所交易对数据
  • cg_liquidation_coin_list(exchange)
    - 某交易所支持的所有币种
  • cg_liquidation_orders(symbol, exchange, min_liquidation_amount, start_time?, end_time?)
    - 单笔订单数据(过去7天,最多200条)
适用场景:
  • 识别强平集群
  • 追踪强平模式的时间变化
  • 发现大额强平事件

4. Hyperliquid Whale Tracking (4 tools)

4. Hyperliquid鲸鱼追踪(4款工具)

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
追踪Hyperliquid DEX上的大额交易者(约200条最新提醒):
  • cg_hyperliquid_whale_alerts()
    - 近期大额开仓/平仓记录(>100万美元)
  • cg_hyperliquid_whale_positions()
    - 当前鲸鱼持仓及盈亏情况
  • cg_hyperliquid_positions_by_coin()
    - 按币种分组的所有持仓
  • cg_hyperliquid_position_distribution()
    - 按规模划分的持仓分布及情绪
适用场景:
  • 追踪Hyperliquid上的聪明资金
  • 检测大额持仓变化
  • 追踪鲸鱼盈亏及市场情绪

5. Futures Market Data (5 tools)

5. 期货市场数据(5款工具)

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
市场概览及价格数据:
  • cg_coins_market_data()
    - 一次调用获取所有币种数据(100余种)
  • cg_pair_market_data(symbol, exchange)
    - 特定交易对指标
  • cg_ohlc_history(symbol, exchange, interval, limit?)
    - OHLC蜡烛图数据
  • cg_taker_volume_history(symbol, exchange, interval, limit?, start_time?, end_time?)
    - 特定交易对的主动成交量
  • cg_aggregated_taker_volume(symbol, interval, limit?, start_time?, end_time?)
    - 跨交易所汇总的主动成交量
适用场景:
  • 市场筛选(一次性扫描所有币种)
  • 价格走势分析
  • 成交量模式识别

6. Volume & Flow Analysis (4 tools)

6. 成交量与资金流分析(4款工具)

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
订单流及资金动向追踪:
  • cg_cumulative_volume_delta(symbol, exchange, interval, limit?, start_time?, end_time?)
    - CVD = (主动买量 - 主动卖量)的累计值
  • cg_coin_netflow()
    - 流入/流出各币种的资金
  • cg_whale_transfers()
    - 链上大额转账(>1000万美元,过去6个月)
适用场景:
  • 订单流背离检测
  • 聪明资金追踪
  • 机构资金动向监控

7. Bitcoin ETF Data (5 tools)

7. 比特币ETF数据(5款工具)

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)
追踪机构对比特币的配置情况:
  • cg_btc_etf_flows()
    - 每日资金净流入/流出
  • cg_btc_etf_premium_discount()
    - ETF价格与NAV的溢价/折价
  • cg_btc_etf_history()
    - 全面历史数据(价格、NAV、溢价率、份额、资产规模)
  • cg_btc_etf_list()
    - 比特币ETF列表
  • cg_hk_btc_etf_flows()
    - 香港地区比特币ETF资金流
适用场景:
  • 机构需求追踪
  • 溢价/折价套利
  • 区域资金流对比(美国 vs 香港)

8. Other ETF Data (8 tools)

8. 其他ETF数据(8款工具)

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
以太坊、Solana、XRP及香港地区ETF:
  • cg_eth_etf_flows()
    - 以太坊ETF资金流
  • cg_eth_etf_list()
    - 以太坊ETF列表
  • cg_eth_etf_premium_discount()
    - ETH ETF溢价/折价
  • cg_sol_etf_flows()
    - Solana ETF资金流
  • cg_sol_etf_list()
    - Solana ETF列表
  • cg_xrp_etf_flows()
    - XRP ETF资金流
  • cg_xrp_etf_list()
    - XRP ETF列表
  • cg_hk_eth_etf_flows()
    - 香港地区以太坊ETF资金流
适用场景:
  • 多资产机构持仓追踪
  • 资金流对比分析
  • 区域偏好分析

Common Workflows

常见工作流

Quick Market Scan

快速市场扫描

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Get everything in 3 calls

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()
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all_coins = cg_coins_market_data() # 100+ coins with full metrics btc_liquidations = cg_liquidations("BTC") whale_alerts = cg_hyperliquid_whale_alerts()
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Deep Position Analysis

深度持仓分析

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BTC positioning across metrics

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
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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
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ETF Flow Monitoring

ETF资金流监控

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Institutional demand

Institutional demand

btc_flows = cg_btc_etf_flows() eth_flows = cg_eth_etf_flows() sol_flows = cg_sol_etf_flows()
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btc_flows = cg_btc_etf_flows() eth_flows = cg_eth_etf_flows() sol_flows = cg_sol_etf_flows()
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Whale Tracking

鲸鱼追踪

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Follow the whales

Follow the whales

hyperliquid_whales = cg_hyperliquid_whale_alerts() whale_positions = cg_hyperliquid_whale_positions() onchain_whales = cg_whale_transfers() # >$10M on-chain
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hyperliquid_whales = cg_hyperliquid_whale_alerts() whale_positions = cg_hyperliquid_whale_positions() onchain_whales = cg_whale_transfers() # >$10M on-chain
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Volume Analysis

成交量分析

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Order flow

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)
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cvd = cg_cumulative_volume_delta("BTC", "Binance", "1h", 100) netflow = cg_coin_netflow() # All coins taker_vol = cg_aggregated_taker_volume("BTC", "1h", 100)
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Interpretation Guides

解读指南

Funding Rates

资金费率

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.
8小时费率解读
> +0.05%极度贪婪——多头拥挤,存在挤兑风险
+0.01% 至 +0.05%看涨情绪,正常区间
-0.005% 至 +0.01%中性
-0.05% 至 -0.005%看跌情绪,正常区间
< -0.05%极度恐惧——空头拥挤,存在反弹风险
极端资金费率通常预示行情反转,市场情绪在极端时往往出错。

Open Interest + Price Matrix

持仓量+价格矩阵

OIPriceRead
UpUpNew longs entering — bullish conviction
UpDownNew shorts entering — bearish conviction
DownUpShort covering — weaker rally, less conviction
DownDownLong liquidation — weaker selloff, capitulation
持仓量价格解读
上升上升新多头入场——看涨信心充足
上升下降新空头入场——看跌信心充足
下降上升空头平仓——反弹力度较弱,信心不足
下降下降多头强平——下跌力度较弱,出现 capitulation

Long/Short Ratio

多空比

RatioRead
> 1.5Crowded long — contrarian bearish
1.1–1.5Moderately bullish
0.9–1.1Balanced
0.7–0.9Moderately bearish
< 0.7Crowded short — contrarian bullish
比值解读
> 1.5多头拥挤——反向看空
1.1–1.5温和看涨
0.9–1.1多空平衡
0.7–0.9温和看跌
< 0.7空头拥挤——反向看涨

CVD (Cumulative Volume Delta)

CVD(累计成交量差值)

PatternRead
CVD rising, price risingStrong buy pressure, healthy uptrend
CVD falling, price risingWeak rally, distribution
CVD rising, price fallingAccumulation, potential bottom
CVD falling, price fallingStrong sell pressure, healthy downtrend
模式解读
CVD上升,价格上升买盘压力强劲,上涨趋势健康
CVD下降,价格上升反弹力度较弱,处于派发阶段
CVD上升,价格下降处于吸筹阶段,可能出现底部
CVD下降,价格下降卖盘压力强劲,下跌趋势健康

ETF Flows

ETF资金流

FlowRead
Large inflowsInstitutional buying, bullish
Consistent inflowsSustained demand
Large outflowsInstitutional selling, bearish
Premium to NAVHigh demand, bullish sentiment
Discount to NAVWeak demand, bearish sentiment
资金流解读
大额流入机构买入,看涨
持续流入需求稳定
大额流出机构卖出,看跌
相对于NAV溢价需求旺盛,看涨情绪
相对于NAV折价需求疲软,看跌情绪

Analysis Patterns

分析模式

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
多指标确认: 结合跨类别工具获取高置信度信号:
  • 资金费率 + 多空比 + 强平数据 = 持仓极端情况
  • CVD + 主动成交量 + 鲸鱼提醒 = 聪明资金方向
  • ETF资金流 + 鲸鱼转账 + 持仓量 = 机构信心
聪明资金vs散户: 对比指标识别背离:
  • cg_top_account_ratio
    (聪明资金) vs
    cg_global_account_ratio
    (散户)
  • Hyperliquid鲸鱼持仓 vs 整体多空比
瀑布预测: 使用强平工具预测波动率:
  • cg_coin_liquidation_history
    展示强平模式的时间变化
  • cg_liquidation_orders
    揭示近期强制平仓记录
  • 大额强平事件 = 瀑布风险区域
资金流背离: 追踪资金动向:
  • cg_coin_netflow
    展示资金流向
  • cg_whale_transfers
    揭示大额资金移动
  • ETF资金流展示机构需求

Performance Optimization

性能优化

Batch vs Individual Calls

批量调用vs单个调用

✅ OPTIMAL: Use batch endpoints
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✅ 最优方案: 使用批量端点
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One call gets 100+ coins

One call gets 100+ coins

all_coins = cg_coins_market_data()
all_coins = cg_coins_market_data()

One call gets all whale alerts

One call gets all whale alerts

whales = cg_hyperliquid_whale_alerts()
whales = cg_hyperliquid_whale_alerts()

One call gets all ETF flows

One call gets all ETF flows

btc_etf = cg_btc_etf_flows()

**❌ INEFFICIENT**: Multiple individual calls
btc_etf = cg_btc_etf_flows()

**❌ 低效方案**: 多次单个调用

Don't do this - wastes API quota

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")
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btc = cg_pair_market_data("BTC", "Binance") eth = cg_pair_market_data("ETH", "Binance") sol = cg_pair_market_data("SOL", "Binance")
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Query Parameters

查询参数

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
)
大多数历史数据端点支持:
  • interval
    : 时间粒度(1h、4h、12h、24h等)
  • limit
    : 记录数量(默认值不同,最大1000)
  • start_time
    : Unix时间戳(毫秒)
  • end_time
    : Unix时间戳(毫秒)
示例:
cg_coin_liquidation_history(
    symbol="BTC",
    interval="1h",
    limit=100,
    start_time=1704067200000,  # 2024-01-01
    end_time=1704153600000     # 2024-01-02
)

Supported Exchanges

支持的交易所

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.
提供期货数据的主流交易所:
  • 一线交易所: Binance、OKX、Bybit、Gate、KuCoin、MEXC
  • 传统交易所: CME(比特币和以太坊期货)、Coinbase
  • 去中心化交易所: Hyperliquid、dYdX、ApeX
  • 其他: Bitfinex、Kraken、HTX、BingX、Crypto.com、CoinEx、Bitget
使用
cg_supported_exchanges()
获取包含交易对详情的完整列表。

Important Notes

重要说明

  • 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
  • API密钥: 需要设置COINGLASS_API_KEY环境变量
  • 币种符号: 使用标准符号(BTC、ETH、SOL等)——可通过
    cg_supported_coins()
    查询
  • 交易所: 使用
    cg_supported_exchanges()
    获取包含交易对的完整列表
  • 更新频率:
    • 市场数据: ≤ 1分钟
    • 资金费率: 每8小时更新一次(部分交易所为1小时)
    • OHLC数据: 实时至1分钟级,取决于时间粒度
    • ETF数据: 每日更新(收盘后)
    • 鲸鱼转账: 实时更新(数分钟内)
  • API版本:
    • V4端点使用
      CG-API-KEY
      请求头(大多数工具)
    • V2端点使用
      coinglassSecret
      请求头(部分旧版工具)
    • 两种版本均可使用同一COINGLASS_API_KEY环境变量
  • 速率限制: 专业版套餐支持6000次请求/分钟
  • 历史数据限制:
    • 强平订单: 过去7天,最多200条记录
    • 鲸鱼转账: 过去6个月,最低1000万美元
    • Hyperliquid提醒: 约200条最新大额持仓
    • 其他端点: 通常支持数月至数年的历史数据

Data Quality Notes

数据质量说明

  • 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
  • Hyperliquid: 数据为该交易所专属,不包含其他去中心化交易所
  • 鲸鱼转账: 覆盖比特币、以太坊、波场、瑞波、狗狗币、莱特币、Polygon、Algorand、比特币现金、Solana
  • ETF数据: 美国ETF在收盘后更新(美国东部时间下午4点),香港地区ETF在香港市场收盘后更新
  • 强平订单: 仅包含最新200条记录,如需更全面视图请使用热力图工具
  • CVD: 累计指标——不会自动重置,应追踪变化而非绝对值

Version History

版本历史

  • 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
  • v3.0.0(2025-03): 新增36款工具
    • 进阶强平分析(5款)
    • Hyperliquid鲸鱼追踪(5款)
    • 成交量与资金流分析(5款)
    • 鲸鱼转账(1款)
    • 比特币ETF(6款)
    • 其他ETF(8款)
    • 进阶多空比分析(6款)
  • v2.2.0(2024): 迁移至V4 API,新增期货市场数据
  • v1.0.0(2024): 初始版本,提供基础衍生品数据