Indicator Scanner

Create a multi-symbol indicator scanner that screens stocks by technical conditions.

Arguments

Parse $ARGUMENTS as: scan-type watchlist

• $0 = scan type (e.g., rsi-oversold, rsi-overbought, ema-crossover, supertrend-buy, supertrend-sell, macd-crossover, adx-trending, custom). Default: rsi-oversold
• $1 = watchlist (e.g., nifty50, banknifty, custom). Default: nifty50

If no arguments, ask the user what they want to scan for.

Instructions

1. Read the indicator-expert rules for reference
2. Create scanners/{scan_type}/ directory (on-demand)
3. Create {scan_type}_scanner.py
4. The script must:
   • Load .env from project root
   • Define the watchlist (predefined or custom)
   • Fetch data for each symbol via client.history()
   • Compute indicator(s) using openalgo.ta
   • Check the scan condition
   • Print results as a formatted table
   • Save results to CSV
   • Optionally get real-time LTP via client.quotes() for current values

Scan Logic Pattern

results = []
for symbol in watchlist:
    df = fetch_data(symbol, exchange, interval)
    close = df["close"]