What to ask
your AI.

Ask them here, or in any AI you connect. Each one reads live market data.

The badge on each card is its approximate credit cost on a paid plan. Free and keyless calls cost nothing.

Start with these ten.

The ten that work best on a first try.

Sample answers are illustrative, not live numbers. Connect to pull the real figures.
1
“What are the most interesting whale moves in the last hour?”
Sample answer
Five coins above their normal: SUI 3.4x whale buying (+$18.2M), ENA 3.1x, TIA selling 2.8x. BTC and ETH normal.
≈50 credits ClaudeChatGPT
2
“What are whales buying right now?”
Sample answer
Net buying BTC (+$61M) and ETH (+$6.1M). Net selling SOL and HYPE. Busiest exchange: Hyperliquid.
≈50 credits ClaudeChatGPT
3
“Why is Bitcoin moving right now?”
Sample answer
BTC -3.1% in 4h. Open interest fell $1.2B with $210M longs liquidated. Whale spot selling mild. Looks like borrowed longs being forced out.
≈50 credits ClaudeChatGPT
4
“Find tokens with unusually strong whale accumulation today.”
Sample answer
SUI +$18.2M (3.4x normal), ENA +$6.1M (3.1x), PENDLE +$4.4M. None of them is on the gainers list.
≈50 credits ClaudeChatGPT
5
“Where is leverage highest against its own history right now?”
Sample answer
TIA and LDO: open interest up double digits in 24h, funding in its top 5% of recorded days, most of the money betting up.
≈100 credits ClaudeChatGPT
6
“Find coins where whales are buying but futures traders are betting down.”
Sample answer
ENA: whales net +$6.1M while funding stays deeply negative. TIA similar. Spot and derivatives disagree.
≈100 credits ClaudeChatGPT
7
“Where did the biggest forced closes happen in crypto today?”
Sample answer
$412M forced closed in 24h, 71% longs. SOL and HYPE worst hit. Futures only, lending shown apart.
≈100 credits ClaudeChatGPT
8
“Research HYPE for me using live whale, spot and derivatives data.”
Sample answer
HYPE $34.10, +6.2%. Whales +$9.2M (2.1x normal), funding high, open interest in its top quarter, $34M longs liquidated.
≈50 credits ClaudeChatGPT
9
“What looks unusual in crypto markets right now?”
Sample answer
Five coins above their normal, funding cooling on the majors, one volume record on SUI. BTC and ETH behaving normally.
≈50 credits ClaudeChatGPT
10
“Find something interesting that isn't obvious from the top gainers list.”
Sample answer
PENDLE: whale buying 3.1x normal but price up under 2%. ENA and LDO similar. Whale money has moved more than the price has.
≈100 credits ClaudeChatGPT

Ask by outcome.

Fifty-plus prompts, grouped by goal. Sample numbers are illustrative, not live.

Whale intelligence 8 prompts

What large buyers and sellers are doing on one coin, or across every coin at once.

“What are whales buying and selling right now?”
Sample answer
Net buying BTC and ETH. Net selling SOL, HYPE and PUMP over 24h. Busiest single exchange: Hyperliquid.
≈50 credits ClaudeChatGPT
“What are whales doing with ETH today?”
Sample answer
ETH accumulation: 11 wallets, +$47.3M net bought, 2.7x normal, strongest on Binance and Hyperliquid.
≈50 credits ClaudeChatGPT
“Which coins have unusually strong whale accumulation today?”
Sample answer
Three above 3x normal: SUI +$18.2M, LDO +$9.4M, ENA +$6.1M. None yet on the gainers list.
≈50 credits ClaudeChatGPT
“Show me the largest BTC whale trades in the last six hours.”
Sample answer
Largest trade: $8.4M BTC buy on Binance, 14:22. Six buys over $2M, two sells. Net +$21.6M.
≈50 credits ClaudeChatGPT
“Which historically profitable wallets are accumulating altcoins now?”
Sample answer
Proven traders adding SUI, ENA and TIA. Nine of 152 wallets rotated into SUI this week, net +$12.7M.
≈50 credits ClaudeChatGPT
“A whale just moved $40M of ETH on-chain. Who signed it?”
Sample answer
0x1f3a…9c2 swapped $40.2M USDC to ETH on Ethereum, 11:04. Same wallet added $6M ETH yesterday.
≈50 credits ClaudeChatGPT
“Show me SOL whale buying versus selling, hour by hour.”
Sample answer
SOL flow flipped net buy 5 hours ago. Last three hours: +$4.4M, +$2.1M, +$1.8M. Earlier selling faded.
≈50 credits ClaudeChatGPT
“Is ETH whale flow unusual for ETH specifically?”
Sample answer
Yes. ETH net whale buying is 2.7x its trailing 30-day hourly average. Last this high: 12 days ago.
≈20 credits ClaudeChatGPT
What's happening now 5 prompts

One question, one answer that covers whale flow, positioning, forced closes and proven traders.

“What is happening in crypto right now?”
Sample answer
Total market +1.8%, whales net buying the biggest coins, funding cooling. Most unusual: SUI and ENA.
≈50 credits ClaudeChatGPT
“What changed across the market in the last hour?”
Sample answer
BTC funding flipped positive, SUI whale buying jumped to 3.4x, ETH shed $180M open interest. Rest quiet.
≈50 credits ClaudeChatGPT
“What looks unusual in the market right now?”
Sample answer
Five coins above their normal: SUI 3.4x whale buying, ENA 3.1x, TIA selling 2.8x. BTC and ETH normal.
≈50 credits ClaudeChatGPT
“Is anything at a historical extreme right now?”
Sample answer
HYPE funding at a 30-day high. SOL open interest in its top 5% for the year. Three coins at volume records.
≈50 credits ClaudeChatGPT
“Give me the five most important things in crypto today.”
Sample answer
BTC whales +$63M · $412M liquidated, long-heavy · funding cooling · SUI 3.4x buying · smart money rotating to ENA.
≈50 credits ClaudeChatGPT
Liquidations 5 prompts

Forced closes that already happened, the levels a model projects (labelled as a projection), and how crowded a coin is. Futures and lending are counted separately, never summed.

“Are longs or shorts being liquidated on BTC?”
Sample answer
$17.9M forced closed on BTC in 24h across 1,988 events, 78% longs. Heaviest cluster 14:10.
≈20 credits ClaudeChatGPT
“Which BTC price levels have the most projected forced closes?”
Sample answer
Projected clusters of up bets near $74,200 and $71,800, the nearest about 3.1% below the price. A model, not executed trades.
≈20 credits ClaudeChatGPT
“Where are liquidations happening across crypto today?”
Sample answer
$412M forced closed in 24h, 71% longs. Worst hit: SOL $58M, HYPE $34M. Futures only, lending shown apart.
≈100 credits ClaudeChatGPT
“How crowded is BTC right now?”
Sample answer
BTC crowding elevated: funding positive, open interest in its top quarter, most of the money betting up.
≈50 credits ClaudeChatGPT
“Show DeFi lending liquidations with the wallets involved.”
Sample answer
0x9a…4f liquidated for $2.1M of WETH collateral on-chain, 09:41. Liquidator 0xc2…8b. A lending event, not a futures one.
≈50 credits ClaudeChatGPT
Funding and open interest 5 prompts

Where leverage is building, which markets are stretched, and how positioning sits across exchanges.

“Which markets have the most extreme funding right now?”
Sample answer
Most negative: ENA -0.31%/8h (about -34% APR), then TIA. Most positive: HYPE +0.09%/8h.
≈100 credits ClaudeChatGPT
“Compare BTC funding across exchanges.”
Sample answer
BTC funding: Binance +0.0084%, Bybit +0.011%, OKX +0.006%, Hyperliquid +0.014%/8h. Predicted next: rising.
≈20 credits ClaudeChatGPT
“Find coins with rising open interest and unusual whale selling.”
Sample answer
Three matches: TIA OI +14% with whales -$7.2M, LDO +9% / -$4.1M, ARB +6% / -$2.8M.
≈100 credits ClaudeChatGPT
“Has ETH leverage built up in the last few hours?”
Sample answer
ETH open interest +$210M in 6h while price flat. Funding ticked positive. Leverage building without spot follow-through.
≈20 credits ClaudeChatGPT
“Show me the BTC options picture: walls, put/call and max pain.”
Sample answer
Biggest walls at $80k calls and $70k puts, put/call 0.72, max pain $76,000. Implied vol easing.
≈50 credits ClaudeChatGPT
Token research 5 prompts

Point CoinLobster at one coin and get price, positioning, whale flow, funding and liquidations in one answer.

“Research HYPE for me using live market data.”
Sample answer
HYPE $34.10, +6.2%. Whales +$9.2M (2.1x normal), funding high, open interest in its top quarter, $34M longs liquidated in 24h.
≈50 credits ClaudeChatGPT
“What is going on with ENA right now?”
Sample answer
ENA $0.58, +3.1%. Funding deeply negative (those betting down pay), whales +$6.1M, smart money adding. Most of the money is betting down.
≈50 credits ClaudeChatGPT
“What are whales, derivatives and spot doing in DOGE right now?”
Sample answer
DOGE: whales net +$4.4M, strongest on Bybit. Spot confirming, on-chain quiet. Flow reads as accumulation, not distribution.
≈50 credits ClaudeChatGPT
“Is current activity in XRP unusual?”
Sample answer
XRP whale buying at 2.4x its 30-day hourly normal. Volume in the top 10% for the month. Yes, above normal.
≈20 credits ClaudeChatGPT
“Any recent BTC news and how the market took it?”
Sample answer
Five BTC headlines in 12h, net sentiment mildly positive. Top item: spot ETF inflows resumed, published 08:20.
≈50 credits ClaudeChatGPT
Market movers 5 prompts

What is moving, and whether real buying and selling or borrowed money is behind it.

“Which coins are the biggest gainers and losers right now?”
Sample answer
Top gainers: SUI +9%, ENA +6%, PENDLE +5%. Biggest drops: TIA -7%, LDO -5%. Each with 24h volume, so a move on thin volume stands out.
≈50 credits ClaudeChatGPT
“Which coins are moving on strong volume with whale money behind them?”
Sample answer
SUI +9% on 2.4x volume with whales +$18.2M. ENA +6% with buying. LINK moving on thin volume, marked weak.
≈100 credits ClaudeChatGPT
“Find coins unusually active against their own normal.”
Sample answer
Four at volume records vs their own year: SUI, ENA, TIA, PENDLE. SUI also at a 30-day whale-buying high.
≈50 credits ClaudeChatGPT
“Which movers are pumping mainly on leverage?”
Sample answer
TIA +7% with open interest +14% but whales net sellers. Move looks leverage-led, spot not following.
≈100 credits ClaudeChatGPT
“Find coins with unusual whale buying whose price has barely moved.”
Sample answer
PENDLE up 2% with whale buying at 3.1x normal. ENA similar. Neither is on the gainers list.
≈50 credits ClaudeChatGPT
DeFi and Hyperliquid 4 prompts

On-chain money by chain, DEX swaps with the wallet, and Hyperliquid, the one exchange that names the wallet on both sides of a trade.

“What is DEX volume and TVL per chain right now?”
Sample answer
Ethereum leads at $3.1B/24h DEX volume, Base $840M rising fast, Arbitrum $520M. TVL up 4% on Base.
≈50 credits ClaudeChatGPT
“Show me the largest on-chain whale swaps today.”
Sample answer
Biggest: $12.4M USDC to ETH on Ethereum by 0x1f…9c2. Six swaps over $2M, mostly into ETH and stables.
≈50 credits ClaudeChatGPT
“What are whales doing on Hyperliquid right now?”
Sample answer
Net long BTC and ETH. Biggest fill: $6.1M BTC buy by 0xb5…7a08, a wallet up 13 of 13 closes this week.
≈50 credits ClaudeChatGPT
“Show me the tracked Hyperliquid accounts and their bias.”
Sample answer
152 tracked accounts, net 71% long. Largest account: $128M, 100% long, ETH-heavy. Bias tilted long into the move.
≈50 credits ClaudeChatGPT
Cross-market 4 prompts

Where spot and futures disagree, and whether a move is real buying, borrowed money or forced selling.

“Find coins where whales are buying but futures traders are betting down.”
Sample answer
Two matches: ENA, whales +$6.1M while funding stays deeply negative. TIA similar. Smart money on the buy side.
≈100 credits ClaudeChatGPT
“BTC is falling. Is it spot selling, leverage or liquidations?”
Sample answer
BTC -3.1% in 4h. Open interest dropped $1.2B with $210M longs liquidated. Whale spot selling mild. Looks like borrowed longs being forced out.
≈50 credits ClaudeChatGPT
“Find cases where smart money and leveraged traders strongly disagree.”
Sample answer
SUI: proven traders net long and adding while broad funding stays negative. The screened wallets are on the other side of the crowd.
≈50 credits ClaudeChatGPT
“SOL open interest is surging. Is spot demand keeping up?”
Sample answer
SOL open interest +18% in 6h but whale spot flow flat and price barely up. Derivatives leading, spot not confirming.
≈50 credits ClaudeChatGPT
Historical context 6 prompts

What happened after signals like this fired, and how today compares with a coin's own record. Never backfilled.

“After past BTC whale-spike signals, what did price do next?”
Sample answer
Last 20 BTC whale-buy signals: 12 green at 24h, median +1.9%, worst -4.1%. Each logged the moment we spotted it.
≈100 credits ClaudeChatGPT
“Show me the last ten SOL whale signals and the returns after them.”
Sample answer
Ten SOL signals: six up at 24h, median +2.4%. Two big misses (-6%, -5%) shown next to the hits.
≈100 credits ClaudeChatGPT
“Show BTC daily funding and open interest history for 30 days.”
Sample answer
30 days: funding ranged -0.01% to +0.03%/8h, open interest built from $14B to $17B. Peak funding on day 22.
≈50 credits ClaudeChatGPT
“How unusual is current BTC funding versus its own year?”
Sample answer
BTC funding in its top 8% for the trailing year. Higher only during two prior rallies. Elevated, not a record.
≈50 credits ClaudeChatGPT
“Is current ETH whale accumulation unusual for ETH?”
Sample answer
ETH whale buying at 2.7x its 30-day hourly average. Last this strong: 12 days ago, when price rose 6% over the next day.
≈20 credits ClaudeChatGPT
“Give me hourly BTC price bars so I can compute my own moving average.”
Sample answer
168 hourly BTC bars returned, newest a few minutes old. Ready to feed a moving average or any indicator your agent runs.
≈50 credits ClaudeChatGPT
Discovery 4 prompts

Find what deserves a look without naming a coin first.

“Find three tokens with unusual whale accumulation.”
Sample answer
SUI (3.4x, +$18.2M), ENA (3.1x, +$6.1M), PENDLE (3.1x, +$4.4M). None on the gainers list yet.
≈50 credits ClaudeChatGPT
“What is smart money paying attention to today?”
Sample answer
Proven traders rotating into ENA and SUI, trimming HYPE. Nine wallets independently added ENA this week.
≈50 credits ClaudeChatGPT
“Which coins suddenly became interesting in the last hour?”
Sample answer
PENDLE and TIA crossed 3x normal whale buying in the last hour. Both flat on price so far.
≈50 credits ClaudeChatGPT
“Show unusual activity that isn't obvious from the top gainers.”
Sample answer
Three coins with whale buying above 3x normal but under +2% on price: PENDLE, ENA, LDO.
≈100 credits ClaudeChatGPT
Wallet investigation 4 prompts

Point CoinLobster at one address: its positions, leverage, liquidation prices and whether it has actually been profitable.

“Analyze this Hyperliquid wallet: 0x020c...5872”
Sample answer
0x020c…5872: $7.19M equity, up $5.38M this month (11.7x). $128M open, 100% long, 17.9x leverage. 188 closes in 24h.
≈50 credits ClaudeChatGPT
“What DEX swaps has this Ethereum wallet made? 0x1111...1111”
Sample answer
0x1111…1111: 14 swaps in 7 days, net +$3.2M into ETH and stables. Active on Ethereum, quiet on Base.
≈50 credits ClaudeChatGPT
“Find profitable Hyperliquid wallets outside the leaderboard.”
Sample answer
893 wallets cleared the profit and pace screen from 82,321 scanned. Top: +$418k realized, 13 of 13 closes won. Fills only, no equity claim.
≈50 credits ClaudeChatGPT
“Where would this wallet get liquidated? 0xdead...beef”
Sample answer
0xdead…beef: ETH long liq near $2,326, BTC long liq near $63,558. Nearest is about 8% below spot.
≈50 credits ClaudeChatGPT

Follow-up questions.

Each step reads fresh data from the answer before it.

Whale, then track record
1
2
3
Investigate a move
1
2
3
Discover, verify, then check history
1
2
3

Prompt packs.

A set for each way of trading. Ask any line here, or paste it into your AI.

Whale Hunter

Follow the biggest buyers and sellers.

What are whales buying right now?
Find unusual whale accumulation today.
Which proven wallets are entering new positions?
What are whales selling into strength?
Derivatives Trader

Read leverage, funding and forced closes.

Where is leverage building fastest?
Which markets have the most extreme funding?
Where are forced closes concentrated?
Find coins where open interest and price disagree.
Market Detective

Figure out why the market is moving.

Why is BTC moving right now?
What changed across the market in the last hour?
Is this move spot-driven or leverage-driven?
What looks unusual against each coin's normal?
Altcoin Researcher

Investigate what is worth a look.

Find unusual altcoin activity.
Which tokens are seeing smart-money interest?
Research this token with live data.
Compare whale flow in these three coins.
DeFi Researcher

Track on-chain money and Hyperliquid.

Where is on-chain liquidity moving?
What are whales doing on Hyperliquid?
Which chains are gaining DEX volume?
Show me DeFi lending liquidations with the wallets.

Put it on a timer.

Paste one into anything that runs on a timer, like a Grok Bot or a cron job. The badge is the approximate cost per run.

Daily market brief Daily
“Every morning, use CoinLobster to summarize the most important changes in whale flow, positioning, liquidations and smart money over the last 24 hours.”
≈100 credits / run
Hourly unusual-activity scan Hourly
“Every hour, scan the market with CoinLobster and message me only if something has moved into an extreme or unusual state. Say nothing when the market is calm.”
≈50 credits / run
Smart-money monitor On change
“Monitor the proven profitable traders on CoinLobster and notify me when several of them independently build a meaningful position in the same coin.”
≈50 credits / run
BTC watch Hourly
“Every hour, check BTC leverage, funding, liquidations, whale activity and smart-money positioning on CoinLobster. Notify me only when the market state changes materially from the last check.”
≈100 credits / run
Post-move investigation On trigger
“If a coin I follow moves more than 5%, use CoinLobster to check whether whale activity, leverage or forced liquidations changed at the same time, and tell me what the data is consistent with, without claiming a cause.”
≈100 credits / run
Pre-trade context On demand
“Before I place a trade on a coin, pull its live CoinLobster context: whale flow against its normal, funding, recent forced closes and whether the move is unusual. Then summarize what stands out.”
≈100 credits / run

Connecting is free.

No key needed to start. A free account makes answers live, and a paid plan answers every coin in full.