Crypto Goatz
18+ live sources · one point-in-time vault

Every data point, in one engine.

Crypto Goatz fuses 18+ free and official data sources — price, derivatives, on-chain, macro, DeFi, social, and memecoin intelligence — into a single point-in-time vault, then runs a 5-layer ensemble over it. No black box, no fabricated accuracy. Here's everything it sees.

18+
Live data sources
70+
Metric families
599+
Assets tracked
5-layer
Prediction ensemble

Eight intelligence domains

Every domain streams from official, free-tier APIs into the same live spine the engine reads from.

Market & Price

Coinbase · OKX · Bybit · Binance · CoinGecko · GeckoTerminal

Full OHLCV across centralized and on-chain venues, for hundreds of assets, on multiple timeframes.

Open / high / low / close / volume1m → 1d candlesMulti-venue coverage (CEX + DEX)Per-asset price historyVWAP & trade counts599+ assets, market-cap ranked

Derivatives & Options

Bybit · OKX · CoinGlass · Deribit

The leverage picture — where the crowd is positioned and where it gets liquidated.

Perp funding ratesOpen interest (USD)Long / short ratioPerp basis (premium/discount)Liquidation flow (long & short)Options implied vol & skew

On-chain

Etherscan · mempool.space · Helius

What wallets are actually doing — beneath the price.

Active addressesExchange net inflow / outflowMVRV ratioSOPR (spent-output profit)BTC mempool & feesSolana holder concentration

DeFi & Stablecoins

DeFiLlama

Liquidity is the tide. We watch where capital parks and moves.

Total value locked (TVL)Stablecoin circulating supplyStablecoin mint / burn eventsPer-protocol & per-chain flows

Macro & Liquidity

FRED · USAspending · SEC EDGAR

Crypto trades on global liquidity. We track the levers that move it.

M2 money supplyTreasury General Account (TGA)Reverse repo (RRP)Fed funds rateUS Dollar Index (DXY)10-year Treasury yieldSpot BTC ETF net flows13F institutional filings

Social & Attention

LunarCrush · Alternative.me

Narrative and crowd attention, quantified — not vibes.

LunarCrush galaxy scoreX / Twitter mention volumeGoogle search interestCrypto Fear & Greed indexSocial sentiment & volatility

Cross-asset & Rotation

Derived

How capital rotates between majors and sectors.

BTC dominanceETH / BTC ratioSector rotation (L1 / L2 / DeFi / AI / RWA / meme)Lead-lag relationships between coins

Memecoin & DEX Intelligence

DexScreener · GeckoTerminal · pump.fun · GoPlus · Helius

The fast, dangerous frontier — filtered for what won't rug and timed for what's about to graduate.

New-pair & liquidity radarpump.fun graduation tracking (% to Raydium)Deployer / bad-actor reputationFunding-source wallet clusteringRug-authority safety (mint/freeze/balance)Honeypot & LP-lock checksHolder concentrationOpportunity score (gated by rug risk)

See it in action

Every surface of the engine, rendered straight from the member app.

Live predictions, with the why

A 5-layer ensemble scores every coin by conviction — and shows the reasoning behind the call, not just a number.

  • Conviction 0–100 per asset
  • Direction + horizon
  • Logged and resolved against reality
Explore in the app
app.cryptogoatz.com/predictions
Live calls & conviction
$XLM
58/100
$SOL
55/100
$LINK
53/100
$ADA
49/100
conviction 0–100 · resolved against the real outcome

Memecoin safety, danger first

Before any upside talk, the engine checks liquidity, holder concentration, and rug-risk flags — and filters out manufactured volume.

  • Safety rating + rug flags
  • Organic vs manufactured volume
  • Low-safety coins suppressed
Explore in the app
app.cryptogoatz.com/memecoins
Memecoin safety gate
$PEPE2safety 4/5
liquidity locked
$MOON9safety 1/5
single-whale · unlocked LP
rug-risk flags lead — danger first, always

The full historical datasheet

Every day of market history — searchable, sortable, charted, exportable. Filter by symbol and date, pick your columns.

  • OHLCV + market cap, all assets
  • Sort, filter, CSV export
  • Per-coin price & volume charts
Explore in the app
app.cryptogoatz.com/datasheet
Historical datasheet
SymbolCloseVol 24h
$BTC$64,463$8.0M
$ETH$1,753$4.9M
$SOL$138.20$1.2M
$XRP$0.62$910K

Sector cluster rotation

See which sectors are cohesive and rotating — gold, payments, privacy, memes, L1s — and where the laggard catch-up gaps are.

  • Cohesion-gated clusters
  • Laggard + catch-up gap
  • Opportunity scoring
Explore in the app
app.cryptogoatz.com/dashboard
Cluster rotation
Tokenized Gold
10
Memecoins
7.6
Payments
2.1
L1 Majors
0.1
cohesion-gated — only real setups surface

Ask Jax — your engine analyst

Chat with the engine in plain English. Pull historical context, track records, and how it thinks — grounded, honest, never hype.

  • Historical + methodology answers
  • Cites the real win rate
  • Education, never financial advice
Explore in the app
app.cryptogoatz.com/ask
Ask Jax
How has SOL behaved after risk-off weeks?
Historically it's lagged the bounce — the engine shows it usually trails BTC by a session. Here's the track record & the risk…
grounded in the engine — never fabricated accuracy

How the data becomes signal

Raw feeds are useless without discipline. Here's the spine that turns them into honest predictions.

5-layer ensemble

Regime · momentum & structure · lead-lag · accumulation/flow · safety — independent layers vote on every call.

Point-in-time vault

Every value is stored as it was known at the time (as_of vintaging). Revisable macro & on-chain series keep all vintages — so backtests can't peek at the future.

Honest, audited ledger

Every prediction is logged and resolved against the real outcome. The win rate you see is computed from that ledger — never fabricated.

Continual training loop

Predictions → outcomes → scorecard → retrain. The loop is the learning; the model improves as the data deepens.

See it work — free.

Create an account to explore the live engine, signals, and the honest ledger.

Already a member? Open the engine

Data sources are free or use documented free tiers via official APIs. Education & research only — not financial advice. Signals and predictions are probabilistic and frequently wrong.