SENTRIX AI-Powered Trading Intelligence

1. Vision & Problem Statement

Traditional trading dashboards drown users in fractured feeds, opaque algos, and manual execution frictions. As a result, only institutions can harvest sentiment signals fast enough to front-run the market. SENTRIX democratizes that edge by:

• Streaming multimodal, on-chain and off-chain data into a unified transformer ensemble.
• Publishing each signal with a 90% confidence band, auto-generated rationale, and cryptographic provenance.
• Distributing upside (and downside) through stake-weighted forecasting pools that align incentives and slash noise.

2. Protocol Architecture

2.1 SentriScore Engine

FinBERT, MarketBERT, and bespoke on-chain indicators are ensembled inside a multi-task transformer trained on 2 B+ labeled events. Latency-optimized inference nodes push SentriScores on Solana every second, each bundled with:

• sentiment vector
• volatility forecast (σ)
• confidence interval
• GPT-4o-generated justification

2.2 Forecast & Reward Engine

Forecasters stake 100 – 10,000 $SENTRIX behind directional calls. When the oracle closes a market window:

• 80% of the pooled stakes + fees flow to correct forecasts.
• 30% of losing stakes feed an insurance vault.
• 20% accrue to the DAO treasury for R&D and liquidity.

2.3 Community Curation Layer

"Up-stake / down-stake" voting lets any holder attach 10 – 500 $SENTRIX behind or against a new signal for six hours. > 30% down-stake routes the signal into a dual audit queue:

• Analytica (LLM) integrity scan.
• Human guild review (< 2 h SLA).

Malicious actors are hard-slashed and flagged cross-protocol.

2.4 Execution Layer & MEV Shield

Via an embedded Jupiter router, users dispatch swaps to 12+ chains with sub-50 ms latency. A proprietary mempool-sniping filter blocks 94% of sandwich vectors while dynamic gas rebalancing saves ~15% monthly.

2.5 Governance & Treasury

Holders reach quorum at 2% of circulating supply. Snapshot proposals govern:

3. Tokenomics

Circulating supply begins at 40M $SENTRIX with deflationary pressure from slashing and periodic burns.

4. Development Roadmap

5. Risk & Mitigation

• Model drift – monthly fine-tuning on fresh data.
• Oracle failure – triple-redundant Chainlink/Pyth feeds.
• MEV attacks – continuous adversarial simulation, 94% block rate today.
• Regulatory – utility-first design, no profit promises, MiCA-style disclosures.

6. Legal & Compliance Brief

The DAO publishes an annual MiCA-aligned disclosure with code audits, sustainability metrics, and tokenholder rights. A Swiss-based foundation oversees IP licensing and grants.

7. Technical Documentation & Support

7.1 REST & WebSocket API (v1)

Base URL: https://api.sentrix.ai/v1

Auth: HMAC-SHA256 using your API key + nonce (header x-sentrix-sign).

7.2 SDKs

• TypeScript – npm @sentrix/sdk-ts
• Python – pip sentrixpy

Both wrap retry logic, auto-paging, and WebSocket reconnect.

7.3 Rate Limits

• Free tier: 60 calls/min REST, 1 stream.
• Pro tier: 1,000 calls/min, 10 concurrent streams.

7.4 Support Channels

• Discord #dev-support (24/7 moderators, < 60 min median first response).
• GitHub Discussions for feature requests.
• Dedicated email: support@sentrix.ai (SLA 4 business hrs).

7.5 Service-Level Objectives

• 99.9% monthly API uptime.
• < 150 ms p99 latency for /scores/latest from US-East.