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:- Derivatives Agent — funding rates, open interest, positioning from Binance Futures
- Macro Agent — BTC/ETH prices from Binance Spot, DXY/VIX/SPX from EODHD/FRED
- Signals Agent — long/short ratio from Binance Futures
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:- Derivatives Agent — funding, OI, positioning
- Macro Agent — prices, stablecoins, macro levels
- Signals Agent — long/short positioning
- Technical Agent — indicator analysis across 5 layers (regime, trend, momentum, volatility, sentiment)
- Quantitative Agent — statistical analysis of historical price data
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
A practical setup: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.
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.