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Cards can read 2,625 data feeds. 2,315 of them are raw: data straight from a venue or network. The other 310 are views and data products, derived from the raw ones. By kind By source By update frequency Most research tools do not call exchanges when you ask a question. They read history that was collected on a schedule and stored, so asking the same question twice gives the same answer. A backtest is only worth reading if its inputs held still while you read it. Every venue’s data goes through one path. A scheduled job collects it and stores it. A live feed service then turns it into stored history and into ready-made views, and cards and research tools read those. A card can watch Hyperliquid and trade on Binance, because the data and the venue it trades on are chosen separately. A venue’s retention limit loses nothing, because we keep our own copy. The schedules write a database, not files. Each sync reads what its table holds, fetches forward and writes back; the service reads the same tables. There is no file in between, on purpose. When there was one, a deploy overwrote a freshly synced pool history with a copy from somebody’s laptop. Nothing showed the loss: every page still rendered, and hedges were priced from a day 10 days stale. Three tools are the exception and each says so: the live option book, the latest sample of what a perpetual is paying, and forced closes as they happen. A price somebody is about to trade on cannot come from a daily snapshot. For how live data reaches a card, see How live data reaches your card. These are the streams.

Pool history

Daily price, total value locked, fees earned and in-range liquidity for 41 Uniswap v3 pools: 21 on Ethereum, 14 on Arbitrum and 6 on Base. The history reaches back to 2021-05-05. The same 41 pools also have an hourly candle history, from the same start. Fees are the hard part. An indexer values a swap in dollars only if it can price both tokens, and each deployment keeps its own whitelist, so a pool can record thousands of trades in a day and report zero fees. Where the other side of the trade is a dollar, the fee is rebuilt exactly, and any row that was rebuilt is flagged. The tools pass that flag through.
There is one copy of this history and every tool reads it over the network.There were two: the agent kept its own synced copy beside this one. They drifted to 39 pools against 32, 30 in common, because the two syncs ran on different schedules against an indexer that backfills. Two copies of one history gave two answers to the same question, and which one you saw depended on which service you asked.
Read by surveying ranges, LP strategies and backtesting a position.

Options and volatility

Deribit’s volatility index (DVOL) back to 2021-03-24, plus option chains used to price structures at strikes away from the money.
The skew sets how much volatility an out of the money strike carries above the at-the-money index. It moves a hedging result by more than the difference between hedging and not hedging, so every answer states the value it used.It is now measured against a live chain rather than assumed. A 15% out of the money put carried 17% more volatility than at the money on BTC, and 8% on ETH. The two differ by a factor of two, so each asset uses its own value.The measurement holds for one day and for one tenor. The markup decays steeply with time to expiry, from 38.6% at 8 days to 3.4% at 288 days on BTC. A single skew across all tenors understates a short dated option and overstates a long dated one.
Read by option structures and pricing a hedge.

Perpetual funding

Daily funding rates from four venues on each of BTC and ETH. They are kept separate and never averaged. Binance and Bybit correlate around 0.85 on BTC. Where two venues disagree, that disagreement is what you want to see, and a mean would hide exactly those days. The four are also not interchangeable. Over the 1,187 days all four cover, the two decentralised venues paid about twice what the two centralised ones paid. Two independently operated decentralised venues agree within 0.7 points. With two agreeing, the higher rate looks like a property of the venue type rather than of one venue.
These rates are quoted on notional, not on capital. A delta neutral position holds the coin and shorts the perpetual, and the short needs margin. At two times leverage the capital is one and a half times the notional, so a venue paying 14.5% returns under 10% before costs. Read a funding figure as a rate on the position, never as a return.

Open interest

From Binance’s daily archive, at five-minute resolution since 2021-01-01: open interest in coins and in dollars, top-trader long/short by position size and by account count, and taker buy/sell volume.
Coverage is per symbol, and the archive is walked one day-file at a time, so a symbol can be partly filled while another is complete. Ask the tool for the current depth rather than reading a figure here: it reports how many days it holds, and that number moves.An absent or partial series is reported as such, never as a zero, because an open interest of zero says nobody holds a position at all, which is never true of a live market.
Both of the above are read by funding and open interest.

Prices

Candles for four assets from Binance’s public archive, reaching back to 2021-01-01: BTC, ETH, PAXG and USDC, all quoted in USDT. One-minute data is a rolling window. A backtest that needs one-minute bars covers at most the last three days, and a longer backtest runs on hourly bars or coarser. Weekly bars are built from daily bars, not downloaded. Binance publishes weekly files about two months behind its daily ones. Rolling the daily series up keeps the coarsest view as current as the finest. The roll up is checked against Binance’s own published weeks, with no differences. Wrapped assets are absent on purpose. WBTC and XAUt appear in five pools between them, and both trade thinly on centralised exchanges. WBTC’s archive starts 2024-01 and XAUt is missing 63 months. A price series built from those would describe the wrapper’s own illiquidity. BTC is the reference for WBTC, and the wrapper’s price against the asset is an on chain question that the pool history already answers.

Prices as they happen

The swap router records its own price for each token pair every time the rate changes, on Ethereum, Base and Arbitrum. Those records become closed bars at one minute, one hour, four hours and one day, priced in USDC. A token with no USDC market gets a derived price, crossed through a bridge token. Quiet markets close their bars on a once-a-minute heartbeat, so a market with no change still gets a bar. Cards read these prices. They are stored as they happen, so a card that was restarted can rebuild its bars from the record.

Pool volume by the hour

For the router’s curated USDC pools on Base, the feed service reads each swap and stores the hourly volume of both tokens and the swap count. It also builds ready-made views of that volume. A card that triggers on pool volume reads these views.

Lending rates and positions

Four kinds of lending data are read from the network and stored.
  • Reserve limits and prices on Base. Each lending reserve’s loan-to-value limit and liquidation threshold, and the lender’s own USD price of the asset.
  • The same on Ethereum for the newer lending market, per reserve.
  • Your account’s lending position on Base. Supplied, borrowed and health factor, read for your operating address only. Nobody else can read it.
  • Lighter deposits and withdrawals on Ethereum. USDC deposits and pending withdrawals into Lighter, per hour, for the accounts that need it.
These reads run only while a live card needs them. When the last card that reads a feed stops, the feed stops after a short grace period. Feeds that everybody needs stay on all the time.

Lighter

Lighter’s market data is stored from late October 2026: mark price, index price and funding for each market, and one-minute candles for the 20 largest perpetuals (the biggest crypto perps and gold). Candles are final about a minute after they close. One-minute candles are kept for three days.

Hyperliquid and Binance candles

Hyperliquid’s one-minute candles for BTC and ETH are stored the same way, kept for three days, with an hourly history from 2026-03-31. Binance’s candles are described under Prices. See Hyperliquid for what the venue keeps and what it does not.

Liquidations

Two streams, kept apart because they are different things. Centralised venues, hourly, from 2022-06-02. Binance BTC and ETH perpetuals: 3.9 million forced closes across 66,426 hourly buckets, each with a count, a price range and a quantity. No exchange serves this itself. Binance removed its endpoint, Bybit has none, and AsterDEX answers that its endpoint is out of maintenance. This stream comes from a paid provider, and it is the only route to the four years. Hyperliquid, per event, from 2025-10-10. Every forced close with the address it happened to. See Hyperliquid.
The two are never merged. The centralised stream is an hourly aggregate and cannot name a trader. The Hyperliquid stream is one row per event and can. Merging them would drop the detail on one side and invent it on the other.

Hyperliquid

A third venue, and it differs from the other two in ways that do not average out. Funding settles hourly: 24 intervals in a complete day, not 3, and its history begins 2023-05-12, the venue’s own beginning. Its liquidations are richer than anything a centralised venue publishes: the address that was liquidated, the mark price at the time, whether it was taken at market or backstopped, and which vault absorbed it. Its liquidations are backfilled in full. The fills endpoint caps at 2,000 rows and the vaults trade constantly, so reading them took 278,311 fills across the six vaults that perform liquidations. The result is 3,302 forced closes reaching back to 2025-10-10, which is when those vaults began to liquidate at all. Its open interest cannot be backfilled. The venue reports open interest only as it is now, so that part of the stream records forward only and begins when the watcher began. See Hyperliquid.

Macro, on-chain and stablecoins

Twenty-five Federal Reserve series from 2010-01-01, bitcoin valuation from 2010-07-18, ether from 2015-08-08, and stablecoin supply per issuer from 2017-11-29. Prediction-market odds are snapshotted daily beside them. These are the inputs to the slow signal and to what the market expects. See macro, on-chain and stablecoins for what each holds and why every series carries its own publication lag.

Where every stream stops

A tool that cannot cover the window you asked for says so. None of them fills a gap with a zero.