FastAPI application that ingests CFTC Commitments of Traders data into SQLite and exposes it via a REST API with analytics endpoints (screener, percentile rank, concentration). Includes CLI for historical and weekly data ingestion, Docker setup, and a frontend. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
48 lines
1.5 KiB
Markdown
48 lines
1.5 KiB
Markdown
---
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stepsCompleted: [1, 2]
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inputDocuments: ['data/2026-02-17_deacbtlof.htm']
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session_topic: 'COT-based trading strategies for beginners'
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session_goals: 'Practical, implementable trading approaches using CFTC positioning data'
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selected_approach: 'ai-recommended'
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techniques_used: ['first_principles_thinking', 'morphological_analysis', 'six_thinking_hats']
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ideas_generated: []
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context_file: ''
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---
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# Brainstorming Session Results
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**Facilitator:** Greg
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**Date:** 2026-02-22
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## Session Overview
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**Topic:** COT-based trading strategies for beginners
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**Goals:** Practical, implementable trading approaches using CFTC positioning data
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### Context Data
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CFTC Commitments of Traders Report (February 17, 2026) covering:
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- Agricultural commodities: Wheat (SRW/HRW), Corn, Soybeans, Soybean Oil, Soybean Meal, Rough Rice
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- Treasury securities: UST Bonds, 2Y/5Y/10Y Notes, Ultra bonds
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- Other: Fed Funds, DJIA, DJ Real Estate, Bloomberg Commodity Index, ERIS SOFR Swaps
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### Session Setup
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User selected AI-Recommended approach for systematic strategy development.
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## Technique Selection
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**Approach:** AI-Recommended Techniques
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**Analysis Context:** Trading strategy development with focus on practical implementation
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**Recommended Techniques:**
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1. **First Principles Thinking:** Strip away assumptions about COT data to identify fundamental truths
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2. **Morphological Analysis:** Systematically explore all variable combinations for strategy generation
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3. **Six Thinking Hats:** Multi-perspective evaluation of top strategy candidates
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---
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## Phase 1: First Principles Thinking
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