The data a strategy can act on.

What each source actually measures, how a rule can use it, and where it misleads people. Every one of these has a limitation worth knowing before you trade on it.

Liquidation Data

Forced closes that show which side was over-positioned

Funding Rates

The periodic payment tying perps to spot price

Open Interest

Total open derivative contracts, and what their change means

Order Book Data

Resting bids and asks, depth, and what it costs to cross

On-Chain Data

Wallet activity and transfers recorded on the chain itself

Exchange Inflows & Outflows

Transfers into and out of exchange wallets

Market Sentiment

Aggregated positioning and mood indicators

Technical Indicators

Moving averages, RSI, MACD and the rest of the toolkit

Cumulative Volume Delta

Taker buying minus taker selling, accumulated over time

Volume Profile & VWAP

Volume distributed by price level, and the volume-weighted average

Long/Short Ratio

Exchange-reported positioning across accounts and top traders

Stablecoin Supply & Flows

Stablecoin supply, minting, and balances held on exchanges

Token Unlocks & Vesting

Scheduled releases of locked team, investor and treasury tokens

ETF Flows

Creations and redemptions in spot crypto exchange-traded funds

Volatility Indices

Implied volatility indices such as DVOL, and realised volatility

Seasonality & Time-of-Day

Hour, weekday and session patterns in liquidity and volatility

Volume Data

Traded volume, where it is real, and what it confirms

Bid-Ask Spread Analysis

The gap between best bid and best ask, and what it signals

Market Data Levels (L1, L2, L3)

Level 1, 2 and 3 exchange feeds, and which one a strategy needs

Liquid Edge

Turn any of these feeds into a live rule.

Your keys, your account, your rules. We only send the orders.

Nineteen data sources
A worked rule on each
Where the data comes from

Browse the data library See how it works