> For the complete documentation index, see [llms.txt](https://optiview-1.gitbook.io/optiview-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://optiview-1.gitbook.io/optiview-docs/tech/architecture-layers-and-key-components.md).

# Architecture Layers & Key Components

<figure><img src="https://2222255890-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FywRbPvnDR41TjbXWb0nX%2Fuploads%2FUS3nNSo5CFVn7zgoFaSv%2Funknown.png?alt=media&amp;token=2c258669-3ec1-4f88-bdfe-44e25012e79b" alt=""><figcaption></figcaption></figure>

#### (A) Data Sources & Adapters

* **Multi-chain ingestion** via a hybrid setup of self-hosted and managed nodes
* Parses balances, event logs, and transaction receipts across\
  **Ethereum, BNB Chain, Polygon, Arbitrum, and Optimism**
* **Protocol adapters** at the ABI level for DeFi protocols (e.g. Uniswap, Aave),\
  normalizing LP, lending, and staking positions into unified data models
* **NFT indexing** for ERC-721 / ERC-1155 holdings, metadata, and valuation
* **Ingestion strategy** supports both streaming and batch processing,\
  with scheduled sync and user-triggered refresh (auto refresh every 5–10 minutes)

#### (B) Portfolio Engine (Data Processing & Aggregation)

* **Multi-dimensional classification**: tokens, NFTs, stablecoins, staking, lending, liquidity pools
* Flexible views by **chain** and **protocol**, with instant price and PnL previews
* **Low-latency caching** (Redis) and **time-series storage** (ClickHouse)
* **Strong consistency storage** (PostgreSQL) for accounts, positions, tasks, and badges
* **Risk labeling** at contract and token levels, feeding real-time alert services

#### (C) AI Services (Market Intelligence & Personalization)

* **Short-term price modeling** using LSTM on time-series data
* **Sentiment analysis** via BERT on news and social media signals
* **Macro and cross-factor modeling** with LightGBM for nonlinear regression and classification
* Unified feature services support **online inference**
* Personalized outputs include **asset allocation insights, strategy suggestions, yield optimization, and risk assessments**, derived from user profiles and behavior

#### (D) Education & Task Layer

* **Guided onboarding tasks** (wallet connection, first swap, first stake)
* Progress-based rewards using points or **NFT badges**
* A closed learning loop combining:
  * FAQ and glossary
  * Step-by-step guides and short videos
  * **AI learning assistant** (text and voice)
* Designed to enable a “learn-by-doing” experience

#### (E) News & Community Layer

* Aggregated **market news, protocol updates, and on-chain analytics**
* Personalized content recommendations based on holdings and behavior
* Community discussion spaces and expert AMAs
* **Market sentiment monitoring** combining news, social media, and on-chain signals

#### (F) Swap Aggregator Services

* **Routing engine** integrating APIs such as **1inch or 0x**,\
  using graph algorithms (e.g. Dijkstra) to compute optimal paths
* Supports order splitting, gas estimation, and slippage optimization
* **Atomic execution module** with pre-trade security checks from the risk engine
* Tight integration with:
  * Portfolio Engine (instant post-swap updates)
  * AI Services (prediction-based suggestions)