- Built deep-scraper skill (CDP-based X feed extraction) - Three-stage pipeline: scrape → triage → investigate - Paper trading simulator with position tracking - First live investigation: verified kch123 Polymarket profile ($9.3M P&L) - Opened first paper position: Seahawks Super Bowl @ 68c - Telegram alerts with inline action buttons - Portal build in progress (night shift)
54 lines
1.9 KiB
Markdown
54 lines
1.9 KiB
Markdown
# Feed Hunter
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Automated X/Twitter feed intelligence pipeline. Scrapes → triages → investigates → simulates.
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## Architecture
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```
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Scrape (CDP) → Triage (claims/links) → Investigate (agent) → Alert (Telegram)
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↓
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Spawn Project
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↓
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Simulate / Backtest
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```
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## Pipeline Stages
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1. **Scrape** — Extract structured posts from X feed via Chrome CDP
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2. **Triage** — Identify verifiable claims with actionable links
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3. **Investigate** — Agent follows links, verifies claims with real data
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4. **Alert** — Telegram notification with findings + inline action buttons
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5. **Simulate** — Paper trade the strategy, track P&L without real money
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6. **Backtest** — Where historical data exists, test against past performance
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## Simulation System
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Every viable strategy gets a simulated portfolio entry:
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- Virtual bankroll (configurable, default $1000)
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- Paper positions tracked in `data/simulations/`
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- Daily P&L snapshots
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- Performance metrics: win rate, ROI, Sharpe ratio, max drawdown
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## Project Spawning
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When a strategy passes simulation thresholds:
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- Auto-scaffold in `projects/<strategy-name>/`
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- Working bot code
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- Risk parameters
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- Go/no-go recommendation
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## Schedule
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- Feed scrape: Every 2-4 hours during market hours (8am-10pm CST)
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- Investigation: Triggered by triage hits
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- Simulation updates: Hourly for active positions
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- Daily digest: 9am CST summary of all active simulations
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## Files
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- `config.json` — pipeline settings, thresholds, bankroll
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- `data/simulations/` — active paper positions
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- `data/backtests/` — historical backtest results
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- `data/investigations/` — investigation logs per post
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- `data/alerts/` — alert history
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