Powered by Google Vertex AI · Gemini · Polygon · LunarCrush
AI predictions you can audit, defend, and trust
Predixova fuses four independent AI signal channels — technical, news, social, and macro — into a single Glass-Box forecast. Every call ships with the weights, sub-scores, headlines, and the LLM rationale that produced it. No black boxes. No mystery.
Free trial includes 10 predictions · Glass-Box reporting on every call
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What the system does on every call
Six independent engines, one verdict
Pattern matching at scale
Encodes the live price window into a numeric fingerprint and finds the closest historical match across 1.37 million indexed candle sequences. The closer and more recent the match, the higher the technical sub-score.
Plain-English rationale
Synthesises the four sub-scores, the impact tier, the matched pattern, and the headlines into a multi-paragraph analyst report you can paste into a Slack channel without redacting anything.
Real-time news ingestion
Pulls the 25 most-recent ticker-specific headlines, scores each one's sentiment, and feeds them to a tier classifier that raises Tier-5 'systemic shock' on a Fed surprise or geopolitical event.
Social signal extraction
Reads community velocity across thousands of crypto-trader channels — surges in mentions, sentiment skew, influencer pickup — and normalises it onto the same scale as every other channel.
Macro-regime detection
Reads the VIX risk gradient in real time with redundant data sources. A spiking VIX automatically tilts every prediction defensive; a calm VIX un-locks the technical/social channels.
Auditable per-call ledger
Every prediction writes the request, response, weights, sub-scores, and matched pattern to a transactional ledger so you (or a compliance reviewer) can replay any historical call bit-for-bit.
Implemented on Google Vertex AI · Gemini · Cloud Run · Firestore · Polygon · LunarCrush
1.37M
Historical candle patterns indexed
4
Independent AI signal channels
344
Tradeable symbols across 4 asset classes
~5-15s
End-to-end prediction (4 channels + Vertex matcher + Gemini)
What makes us different
Glass-Box, not black box
Most AI signal tools tell you what the model thinks. Predixova tells you exactly why it thinks it — so you can argue with it, override it, or trade alongside it.
Black-box AI tools
- ×Outputs a single number — bullish or bearish
- ×No visibility into which inputs mattered
- ×Can't tell if it's reacting to news or charts
- ×Impossible to audit when the call goes wrong
- ×You either trust it blindly or ignore it
Predixova Glass-Box
- Forecast direction + confidence + composite score
- Four independent sub-scores you can inspect separately
- Baseline vs active weights — see which signal dominated
- Original news headlines that triggered the tier classifier
- Plain-English Gemini rationale — defendable in a stand-up
The four-channel framework
One verdict. Four independent signals.
Technical
Vertex AI vector search across 1.37M historical candle patterns, time-decay weighted so recent matches count more.
News
Polygon per-article sentiment averaged across the 25 most-recent ticker-specific insights. Tier classifier amplifies on shock events.
Social
LunarCrush Galaxy Score normalised to the engine's scale — community velocity quantified in real time.
Macro
Real-time VIX-derived risk regime, redundant data sources, automatic graceful degradation. The macro tide affects every boat.
Workflow
Three clicks to a Glass-Box call
Pick a symbol
344 tradeable assets across crypto, memes, equities, and forex. TradingView-style search.
Pick a horizon
1m through 1D. Engine derives the right impact tier from live headlines via Gemini Flash.
Hit Predict
Glass-Box payload streams back in under 2 seconds. Charts, sub-scores, rationale — all auditable.
Production-grade by design
Every component runs on Google Cloud Run with autoscaling, Cloud Logging, BetterStack observability, and Sentry-compatible error tracking. Secrets in Secret Manager. Auth via Clerk's hosted JWKS. Sub-score channels degrade gracefully — if any upstream provider blinks, the channel falls back to neutral without breaking the prediction.
Trade with the math on your screen.
You don't have to trust the model. You can read it.