Solution · Trading
Reason over markets in milliseconds.
Spiking Neural Networks process tick streams. DataFusion joins them against bi-temporal earnings and filings. Counterfactual queries test scenarios. The Learning Quarantine sandboxes new strategies until they're proven.
Capabilities
What you get.
Production-grade from day one. No flags, no betas — these ship when you adopt Minds.
SNN tick processing
Sub-millisecond temporal pattern detection on streaming quotes.
Bi-temporal earnings
Join live prices against 'what we knew when' — no leakage.
Counterfactuals
Re-run a scenario under a different assumption.
Strategy quarantine
Sandboxed validation before any new strategy is promoted.
Belief-taint tracking
Untrusted data cannot launder into a recommendation.
Audit chain
Every decision signed and stored for compliance review.
API
A few lines is all it takes.
exampletypescript
// Wire a tick stream to an SNN ensemble.
const detector = minds.snn.compile({
ensembles: [{ name: "ticks", n: 256, model: "Izhikevich" }],
});
stream.on("tick", async (t) => {
detector.input(t.encode());
detector.step();
if (detector.fired("anomaly")) {
await minds.reason({ goal: "explain anomaly", context: t });
}
});Specs
What it costs, what it guarantees.
At a glance
- Tick processing latency
- <1ms
- Bi-temporal join
- no lookahead leakage
- Quarantine gates
- configurable per-strategy
- Audit chain
- compliance-ready BLAKE3
Guarantees
- Durability
- fsync per WAL commit
- Isolation
- MVCC · snapshot
- Audit
- BLAKE3 Merkle chain
- Encryption
- AES-256-GCM per-namespace
- Concurrency
- 100K+ ops/sec
Get started in an afternoon.
Run anywhere — Akasha Cloud, on-prem, or air-gapped.