Crypto Goatz
Live engine · auditing every call in the open

A prediction engine that shows its work.

Five independent layers vote on every call. The result is logged, resolved against reality, and counted in a public ledger. No black box, no cherry-picked screenshots, no fabricated accuracy.

The five layers

Each layer reads a different dimension of the market. No single signal rules — the ensemble decides together.

Regime

Is the whole market risk-on or risk-off? Everything is weighted by the macro backdrop.

Momentum & structure

Trend, volatility, and price structure across multiple timeframes.

Lead-lag

When a leader moves, which followers tend to react — and how fast.

Accumulation & flow

Fusion signals that surface quiet accumulation before it shows up in price.

Safety

For memecoins: liquidity, holder concentration, honeypot and rug-risk flags.

See the live calls and the full ledger inside the member app.

Open the engine

Trained on everything it's ever called.

The engine doesn't guess from a static model — it learns from a deepening river of its own resolved calls and live data.

Training trades, all-time
Data points analyzed
Assets tracked
Live
Honest win rate

Counts are live from the engine and grow continuously. Research & education only — not financial advice.

Built to learn what it can't be told.

Jax is tailor-made to learn from multi-layered data — price, derivatives, on-chain flow, macro, social, and memecoin safety, all streaming into one point-in-time spine. But the real edge isn't the inputs. It's what the engine does with them.

It's complex enough to continuously generate its own variables — derived features that represent clusters of layered data no human hand-coded. As the data deepens, those variables are regenerated and re-weighted, so the engine keeps finding new structure and sharpening toward more predictable results — honestly measured against every outcome.

Explore the layered data
Layered inputs

18+ live sources fused into one point-in-time vault — never look-ahead, never cherry-picked.

Self-generated variables

The engine derives its own features representing clusters of correlated, multi-layer behavior.

Continuous regeneration

As resolved calls accumulate, variables are rebuilt and re-weighted — the model is never frozen.

Toward predictability

More structure found = sharper conviction, measured honestly against the live ledger.

Observe → fuse → resolve → learn.

The loop is the learning. Every prediction becomes a graded data point that makes the next one sharper.

Step 1

Observe

18+ live data sources stream into a single point-in-time vault — price, derivatives, on-chain, macro, social.

Step 2

Fuse

Five independent layers each vote on the setup. No single signal rules; the ensemble decides together.

Step 3

Resolve

Every call is logged with its thesis, then resolved against the real outcome — win or loss, no exceptions.

Step 4

Learn

Outcomes feed the scorecard and the retrain loop. The engine sharpens as the data deepens.

Watch the engine work — free.

Create an account to see live signals and the honest ledger.