📋 Data Coverage

Complete inventory of every metric, signal, and dataset available on Algo Tick. All data is collected in real-time from a dual-citadel sensor network ( Frankfurt + Canada ) and stored in Apache Parquet format.

Live Metrics

Historical Datasets

Independent Nodes

Live Metric Coverage by Pack

Every metric below is available via the real-time API with sub-millisecond latency. Click to expand the full metric list.

Alpha Signals

7 metrics

Derived trading signals: imbalance, spreads, gas, volatility z-scores

Chains: ethereum hyperliquid multi

7 derived

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alpha_funding_zscoreFunding rate z-score vs 1h rolling mean

alpha_gas_da_indexComposite gas + DA cost index (0-100)

alpha_imbalance_deepDeep orderbook bid/ask imbalance within 1% of mid

alpha_priority_p2525th percentile ETH priority fee

alpha_priority_p50Median ETH priority fee

alpha_priority_p9090th percentile ETH priority fee — urgency spike

alpha_spread_bpsAnnualized spot-perp basis spread in bps

Cross-Chain Flows

5 metrics

Bridge transfers, staking events, stablecoin movements

Chains: union

1 derived · 4 raw

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union_active_validatorsActive bonded validators on Union

union_block_heightUnion chain height

union_consensus_latency_msInter-block time in ms

union_ibc_channels_openTotal open IBC channels

union_mempool_tx_countPending bridge transactions

Derivatives & Execution

5 metrics

HyperLiquid perpetuals: trades, orderbook, funding, liquidations

Chains: hyperliquid

2 derived · 3 raw

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hlp_funding_rateCurrent funding rate

hlp_liquidation_alerts1-minute price change % — liquidation wick detector

hlp_mark_priceCurrent mark price on Hyperliquid

hlp_open_interestTotal open interest in contracts

hlp_orderbook_imbalance_pctBid/(Bid+Ask) depth ratio

Macro & Congestion

10 metrics

Bitcoin metrics, Ethereum gas, mempool stress

Chains: bitcoin ethereum

2 derived · 8 raw

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btc_block_heightLatest Bitcoin block height

btc_difficultyCurrent Bitcoin mining difficulty

btc_mempool_stress_indexUnconfirmed BTC mempool txs — flight-to-safety indicator

btc_peersConnected Bitcoin peer count

eth_basefee_liveReal-time Ethereum base fee in Gwei

eth_block_numberLatest Ethereum block height

eth_block_tx_countTransaction count in the latest block

eth_block_utilization_pctGas Used / Gas Limit × 100

eth_burn_rate_liveBaseFee × GasUsed — deflationary pressure

eth_priority_fee_gweiEffective priority fee (tip) in Gwei

Rollup Economy

6 metrics

Celestia, Avail data availability and blob economics

Chains: avail celestia

6 raw

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avail_block_numberAvail light client synced block height

avail_finality_confidenceAvail DA confidence factor

celestia_da_throughput_bytesLive DA block data capacity in bytes

celestia_head_heightCelestia light node synced height

celestia_peer_countNumber of connected Celestia peers

celestia_square_sizeData availability header square size

System Health

3 metrics

Node connectivity, peer counts, infrastructure metrics

Chains: infrastructure

3 derived

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system_cpu_pctVPS CPU utilization percentage

system_disk_pctRoot filesystem utilization percentage

system_memory_pctVPS memory utilization percentage

Intelligence Layer

5 metrics

Composite regime, safety, gamma exposure, geo-coherence

Chains: hyperliquid infrastructure multi

4 derived · 1 raw

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alpha_funding_velocityFirst derivative of funding rate

alpha_geo_coherenceReal-time price agreement US vs EU (0-100)

alpha_regime_probML-derived regime persistence probability

alpha_spot_perp_basisDEX spot vs HLP perp basis spread

node_time_skew_msServer clock offset from atomic time

Web3 Infrastructure

2 metrics

IPFS pinning, Union IBC, decentralized infra

Chains: ipfs

1 derived · 1 raw

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ipfs_network_bandwidth_indexIPFS inbound+outbound bandwidth

ipfs_peer_countConnected IPFS peers

Historical Dataset Coverage

All datasets are stored in the R2 data lake as Hive-partitioned Apache Parquet files, updated continuously from both nodes.

Dataset	Category	Granularity	Columns	Partitions	Live
📊 HLP Perpetual Trades	events	Per-tick (50–500 ticks/sec during volatility)	7	hyperliquid	✓
🔄 DEX Swaps	events	Per-transaction (block by block)	10	base, arbitrum, solana	✓
💧 LP Mint/Burn Events	events	Per-transaction (every LP event)	9	base, arbitrum, ethereum	✓
🌉 Bridge Transfer Events	events	Per-transaction (every bridge event)	8	across, wormhole	✓
🥩 Liquid Staking Events	events	Per-transaction (every staking event)	6	lido	✓
⚡ Flashbots Builder Bids	events	Per-block (every Ethereum block)	6	ethereum	✓
🎯 Intent-Based Order Flow	events	Per-order (every intent submission)	8	cowswap, uniswapx	✓
💵 Stablecoin On-Chain Flows	events	Per-transaction	6	none	✓
📖 L2 Order Book Snapshots	states	Snapshots every ~100ms	8	hyperliquid	✓
💰 Perpetual Funding Rates	states	~5 second updates per coin	7	hyperliquid/BTC, hyperliquid/ETH, hyperliquid/SOL, hyperliquid/HYPE	✓
📐 Gamma Exposure (GEX) Profile	states	~30 second snapshots	7	btc, eth	✓
⚖️ Cross-Venue Orderbook Imbalance	states	Continuous (~1–5 second updates)	6	btc, eth, sol	✓
🚦 Network Congestion	states	Per-block (~12s Ethereum, ~30s Solana)	7	ethereum, solana	✓
🌐 Macro Sentiment Indicators	states	~1 second (Pyth), per-trade (Polymarket)	6	pyth, polymarket	✓
🏦 DeFi Lending Yields	states	~1 minute updates	7	aave_v3	✓

Infrastructure

🇩🇪 EU-Central (Frankfurt)

Primary production node. Closest to HyperLiquid exchange servers and Ethereum RPC endpoints. All trade, orderbook, funding, and on-chain data is collected here with minimal network latency.

Typical API latency: <2ms

💾 R2 Data Lake (Global)

All data is archived to Cloudflare R2 (S3-compatible) in Apache Parquet format. Hive-partitioned by date for efficient historical queries via DuckDB, Spark, or any Parquet reader.

Retention: indefinite

🔍 Data Quality Practices

Dual timestamps: Every record has time_chain (source timestamp) and time_local (ingestion timestamp) for latency auditing
Partition deduplication: Hive partitioning by date prevents cross-contamination between collection runs
Circuit breakers: Automated alerting on data staleness, schema drift, and ingest failures
Snappy compression: All Parquet files use Snappy compression for fast columnar reads

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