What you’ll see
When you send a message, the response streams in stages so you can follow the AI’s reasoning in real time.The streaming sequence
- 1. Plan
- 2. Agent Status
- 3. Charts & Data
- 4. Synthesis
- 5. Sources
The AI shows its thinking — which data sources it will consult and why. This is not a canned message; it’s the actual reasoning the orchestrator uses to decide which agents to invoke.
The 9 agents
ClearView has nine specialized agents, each with access to different data. The AI automatically selects the right agents for your question — you don’t need to know which one to call.Derivatives
Funding rates, open interest, taker buy/sell volume, and positioning data from Binance Futures.
Macro
Cross-asset view — BTC and ETH spot prices (Binance), S&P 500, VIX, DXY (EODHD/FRED), and stablecoin supply (DefiLlama).
Signals
Market positioning analysis from Binance Futures long/short ratios across multiple pairs.
Technical
Indicator analysis following an epistemic framework: regime (ADX) to trend (SMA/EMA/MACD) to momentum (RSI/Stoch) to volatility (Bollinger/ATR). Returns candlestick, MACD, and RSI charts.
TradFi
Traditional finance data — stock prices, fundamentals, economic calendar, earnings, forex, yield curve, and FRED macro indicators.
Advisor
AI Financial Advisor with three modes: Deep Dive (8-section company analysis), Scanner (natural language stock screener), and Portfolio Analysis (parse and analyze your positions).
Quantitative
Statistical analysis on OHLCV data — return distributions, seasonality (monthly, weekly, and halving cycle), range compression detection, volatility regimes, and autocorrelation. All computed with pandas/numpy, never estimated.
Structure
P1/P2 market structure system — directional bias from the temporal order of highs and lows. Includes fractal analysis (alignment across timeframes), flip risk, and distance targets.
On-Chain
Currently being migrated to a new data pipeline. Will include 23 proprietary metrics (MVRV, NUPL, SOPR, whale transactions, and more) once the migration is complete.
Example queries
Here are questions that showcase each agent’s capabilities:Chat history
Your conversations are saved automatically. The sidebar shows your recent chats, and you can:- Click any previous chat to revisit the full conversation with all charts and data intact.
- Delete a single chat by clicking the X icon next to it in the sidebar.
- Clear all chats using the trash icon at the top of the chat history section.
Chat history is tied to your session. Clearing your browser data will reset the sidebar, but the conversations remain stored server-side and will reappear on your next visit.
Data sources
The AI Chat does not generate data from memory. Every number, chart, and metric in a response comes from one of these sources:Tips
- Be specific when you can. “BTC funding rate” is faster than “tell me about Bitcoin derivatives” because the AI skips the planning step of figuring out what you want.
- Ask follow-up questions. The AI remembers your conversation context. After a broad analysis, you can drill down: “What does the RSI divergence you mentioned imply for the next week?”
- Use the source block. Every response ends with sources. If a number looks surprising, check which API and timestamp produced it — data can be delayed during high volatility.
- Multi-agent queries are the power feature. Questions like “Compare BTC structure on daily and weekly with derivatives positioning” invoke 2-3 agents and produce cross-layer analysis you won’t find on any single dashboard.
- The AI will ask for clarification when needed. If your question is ambiguous (e.g., “analyze Apple” — the company or AAPL stock?), you’ll see clickable options to disambiguate rather than a generic response.