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Data Management

Manage stock data, scraping, and model training

Data Initialization

Initialize the system with NEPSE stocks and mixed real/historical data for comprehensive analysis.

This will create:

  • Real data from live sources (last 7 days)
  • Historical data for trend analysis (1 year)
  • Technical indicators calculation
  • Sample NEPSE stocks (ADBL, NABIL, EBL, etc.)

Data Scraping

Scrape latest stock data from external sources - prioritizes real data over sample data.

Data sources (in priority order):

  • ShareSansar (www.sharesansar.com) - Real time data
  • MeroLagani (merolagani.com) - Historical data with ASP.NET PostBack
  • Sample data - Only if real sources fail

Add New Stock

Enter a stock symbol (like HBL) to automatically fetch company information.

Enter the stock trading symbol and we'll fetch the details

Historical Data Scraping

Scrape historical stock data with date filtering and deduplication.

Leave empty for default (1 year ago)

Leave empty for today

Search and select multiple stocks, leave empty for all

Data Processing Options

Data Sources Priority

Model Training

Train LSTM and SVR models for stock price prediction.

Search and select multiple stocks for training

Database Statistics

Total Stocks: -
Stock Data Records: -
Total Predictions: -
Trained Models: -
Latest Data Date: -

Data Sources Status

ShareSansar

www.sharesansar.com

Active

Last scraped: -

Success rate: -

MeroLagani

merolagani.com

Active

Last scraped: -

Success rate: -

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