Traders & Analysts
How traders and analysts use ATLAS for alpha
The Trading Knowledge Problem
How ATLAS Helps
1. Thesis Tracking
Thesis: "Layer 2 tokens undervalued relative to L1 growth"
βββ Initial research (tweets, articles, data)
βββ Supporting concepts extracted
βββ Counter-arguments captured
βββ Entry/exit criteria documented
βββ Outcome tracked
βββ Lessons learned2. Signal Aggregation
3. Pattern Recognition
4. Post-Mortem Memory
Telegram Alpha Agents
How It Works
What You Can Query
Query
What You Get
x402 Revenue: Sell Your Network's Alpha
Query Type
Price
x402 Opportunities
Market Analysis
Technical Insights
On-Chain Intelligence
Macro Synthesis
Telegram Network Intelligence
Query Examples
Query
Tier
Value
Workflow Integration
Daily Routine
Trade Documentation
API Integration for Traders
Connected Data Sources
API
Data Type
Automated Monitoring
Revenue Potential
Scenario: Crypto Research Trader
Getting Started
1. Connect Your Sources
2. Structure Your Knowledge
3. Document Systematically
4. Enable x402
Last updated
