180 lines
8.6 KiB
Python
180 lines
8.6 KiB
Python
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"""
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Visual diagram of the data flow
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"""
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FLOW_DIAGRAM = """
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═══════════════════════════════════════════════════════════════════════
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STOCK INTELLIGENCE SYSTEM - DATA FLOW
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═══════════════════════════════════════════════════════════════════════
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STEP 1: EXTRACT STOCK LISTINGS
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═══════════════════════════════
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┌─────────────────────┐
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│ Exchange Websites │
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│ - tsx.com │
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│ - thecse.com │
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│ - cboe.com │
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└──────────┬──────────┘
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│ (Playwright scrapes)
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▼
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┌─────────────┐
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│ JSON Files │ → data/listings/tsx_tsxv_listings.json
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│ with stock │ → data/listings/cse_listings.json
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│ listings │ → data/listings/cboe_listings.json
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└──────┬──────┘ → data/listings/all_listings_combined.json
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│
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STEP 2: IMPORT TO DATABASE
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═══════════════════════════════
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│
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▼
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┌────────────────┐
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│ SQLite DB │
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│ stocks.db │ Tables:
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│ │ - stocks_master (ABC, 123 companies)
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│ │ - coverage_report
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└────────┬───────┘
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│
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STEP 3: SCRAPE FINANCIALS
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═══════════════════════════════
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│
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┌────────┴────────────────────────┐
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│ For each stock in database: │
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│ ticker = "ABC" │
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└────────┬────────────────────────┘
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│
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▼
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┌──────────────────┐
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│ Yahoo Finance │
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│ finance.yahoo.com│
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│ /quote/ABC.TO │
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└────────┬─────────┘
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│ (Scrape)
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▼
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┌──────────────────┐
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│ JSON File │ → data/financials/ABC_yahoo.json
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│ - Price │
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│ - Market Cap │
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│ - Financials │
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│ - Ratios │
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└────────┬─────────┘
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│
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▼
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┌──────────────────┐
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│ Update Database │
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│ has_financials=1 │
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└────────┬─────────┘
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STEP 4: SCRAPE NEWS & PRESS RELEASES
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═══════════════════════════════════════
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│
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┌────────┴────────────────────────┐
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│ For each stock: │
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│ company = "ABC Corp" │
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└────────┬────────────────────────┘
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│
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┌────────┴──────────┬─────────────────────┐
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│ │ │
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▼ ▼ ▼
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┌──────────┐ ┌──────────────┐ ┌─────────────┐
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│ Google │ │GlobeNewswire │ │Newswire.ca │
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│ News │ │.com/ABC │ │/search/ABC │
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└────┬─────┘ └──────┬───────┘ └──────┬──────┘
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│ │ │
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│ (Scrape) │ (Scrape) │ (Scrape)
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│ │ │
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└─────────────────┴────────────────────┘
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│
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▼
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┌────────────────┐
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│ JSON File │ → data/news/ABC_news_pr.json
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│ - News (15) │
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│ - PR (8) │
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└────────┬───────┘
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│
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▼
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┌────────────────┐
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│ Update DB │
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│ has_news=1 │
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│ has_pr=1 │
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└────────┬───────┘
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STEP 5: GENERATE REPORTS
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═══════════════════════════════
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│
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┌────────┴───────────────────────┐
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│ Combine all data for each stock│
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└────────┬───────────────────────┘
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│
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▼
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┌────────────────┐
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│ Text Report │ → data/reports/ABC_report.txt
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│ │
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│ [TICKER INFO] │
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│ [FINANCIALS] │
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│ [NEWS] │
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│ [PRESS REL] │
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└────────────────┘
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═══════════════════════════════════════════════════════════════════════
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FINAL OUTPUT
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═══════════════════════════════════════════════════════════════════════
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data/
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├── listings/
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│ └── all_listings_combined.json [List of all stocks]
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│
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├── financials/
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│ ├── ABC_yahoo.json [Financial data per stock]
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│ ├── XYZ_yahoo.json
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│ └── ...
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│
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├── news/
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│ ├── ABC_news_pr.json [News & PR per stock]
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│ ├── XYZ_news_pr.json
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│ └── ...
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│
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├── reports/
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│ ├── ABC_report.txt [Final report per stock]
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│ ├── XYZ_report.txt
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│ └── ...
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│
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└── stocks.db [SQLite database with everything]
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═══════════════════════════════════════════════════════════════════════
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DATA RELATIONSHIPS
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═══════════════════════════════════════════════════════════════════════
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stocks_master (Main table)
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↓
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├── financial_statements (Links via stock_id)
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├── financial_metrics (Links via stock_id)
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├── news_articles (Links via stock_id)
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├── press_releases (Links via stock_id)
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├── filings (Links via stock_id)
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├── agm_info (Links via stock_id)
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└── tax_disclosures (Links via stock_id)
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coverage_report (Tracks completeness)
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↓
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Links to stocks_master via ticker
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═══════════════════════════════════════════════════════════════════════
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EXECUTION FLOW:
|
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|
||
|
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1. User runs: python main.py
|
||
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2. System extracts listings from exchanges
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3. System imports to database
|
||
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4. System scrapes Yahoo Finance for each stock
|
||
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5. System scrapes news for each stock
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6. System generates reports
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7. Done! All data in data/ folder
|
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═══════════════════════════════════════════════════════════════════════
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"""
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||
|
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|
||
|
|
if __name__ == "__main__":
|
||
|
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print(FLOW_DIAGRAM)
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