> ## Documentation Index
> Fetch the complete documentation index at: https://docs.clearviewportal.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Report Types

> Choose between a quick market summary and a comprehensive AI-powered deep synthesis.

ClearView offers two report types. Each serves a different purpose — pick the one that matches how you consume market information, or use both.

***

## Quick Summary

A fast, template-based market snapshot. No AI involved — pure data pulled from primary sources and formatted into a structured template.

### What's included

| Section           | Data Points                                    |
| ----------------- | ---------------------------------------------- |
| **Prices**        | BTC and ETH spot prices with 24h change        |
| **Derivatives**   | Funding rate and direction (positive/negative) |
| **Open Interest** | Current OI with change over 24h                |
| **Positioning**   | Long/short ratio from Binance Futures          |
| **Stablecoins**   | Total stablecoin supply with recent change     |
| **Macro**         | DXY, VIX, and SPX levels                       |

### How it's generated

The system pulls data from 3 agents:

1. **Derivatives Agent** — funding rates, open interest, positioning from Binance Futures
2. **Macro Agent** — BTC/ETH prices from Binance Spot, DXY/VIX/SPX from EODHD/FRED
3. **Signals Agent** — long/short ratio from Binance Futures

Data is fetched, formatted into a fixed template, and delivered. No LLM is involved — this is a pure data pipeline.

### Characteristics

* **Generation time:** \~10 seconds
* **Format:** Structured sections with numbers and directional arrows
* **Interpretation:** None — data only, you draw your own conclusions
* **Best for:** Daily morning briefing. Scan in 30 seconds, know where the market stands.

***

## Deep Synthesis

A comprehensive, AI-generated market analysis. Five agents collect data, then Claude AI synthesizes a written report with context, cross-references, and implications.

### What's included

Everything in Quick Summary, plus:

| Section                   | What the AI adds                                                                                                  |
| ------------------------- | ----------------------------------------------------------------------------------------------------------------- |
| **Technical Analysis**    | Trend direction, momentum state, volatility assessment based on indicators (SMA, MACD, RSI, Bollinger Bands, ATR) |
| **Statistical Context**   | Where the current move ranks historically — percentile of daily returns, comparison to similar moves              |
| **Cross-Layer Synthesis** | Connections between derivatives positioning, price action, and macro context                                      |
| **Risk Assessment**       | Key risks and scenarios to watch                                                                                  |
| **Actionable Levels**     | Price levels to monitor based on technical and statistical analysis                                               |

### How it's generated

The system invokes 5 agents in parallel:

1. **Derivatives Agent** — funding, OI, positioning
2. **Macro Agent** — prices, stablecoins, macro levels
3. **Signals Agent** — long/short positioning
4. **Technical Agent** — indicator analysis across 5 layers (regime, trend, momentum, volatility, sentiment)
5. **Quantitative Agent** — statistical analysis of historical price data

All agent data is collected, then **Claude Opus 4.6** (the same model used in the Chat) synthesizes a written analysis. The AI cross-references data across agents — for example, connecting unusual funding rates with a momentum divergence and a macro shift.

### Characteristics

* **Generation time:** 30-60 seconds (5 parallel agent calls + LLM synthesis)
* **Format:** Written analysis with data points embedded in context
* **Interpretation:** Full AI analysis — what the data means, not just what the numbers are
* **Best for:** Weekly comprehensive review, or any time you want the full picture

***

## Comparison

|                         | Quick Summary | Deep Synthesis                          |
| ----------------------- | ------------- | --------------------------------------- |
| **Agents used**         | 3             | 5                                       |
| **AI analysis**         | No            | Yes (Claude Opus 4.6)                   |
| **Generation time**     | \~10 seconds  | 30-60 seconds                           |
| **Content**             | Data snapshot | Data + interpretation + context         |
| **Technical analysis**  | Not included  | Full 5-layer assessment                 |
| **Statistical context** | Not included  | Historical percentiles and comparisons  |
| **Cross-referencing**   | Not included  | Derivatives + price + macro connections |
| **Best frequency**      | Daily         | Weekly                                  |

## Recommended setup

<Tip>
  Use **Quick Summary** for daily updates and **Deep Synthesis** for your weekly review. The quick summary tells you *what happened*; the deep synthesis tells you *what it means*.
</Tip>

A practical setup:

<Steps>
  <Step title="Daily Quick Summary to Telegram">
    Every morning, get a 30-second scan of market state on your phone. Check funding, positioning, and price levels before your day starts.
  </Step>

  <Step title="Weekly Deep Synthesis to Discord or Email">
    Every Monday, get a comprehensive AI analysis that connects the dots across derivatives, technicals, and macro. Use it to frame your thinking for the week.
  </Step>
</Steps>

<Note>
  Deep Synthesis uses the same AI pipeline as the Chat — the same models, the same agents, the same data sources. The only difference is it runs on a schedule instead of on-demand. If you like the quality of answers in Chat, you'll get the same quality in your automated reports.
</Note>