indicator-scanner

---name: indicator-scannerdescription: Scan multiple symbols with indicator conditions. Find stocks matching RSI oversold, EMA crossovers, Supertrend signals, and custom filter combinations.argument-hint: [scan-type] [watchlist]allowed-tools: Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion---

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"]

    # Compute indicator
    rsi = ta.rsi(close, 14)
    current_rsi = rsi.iloc[-1]

    # Check condition
    if current_rsi < 30:  # RSI oversold
        results.append({
            "symbol": symbol,
            "ltp": close.iloc[-1],
            "rsi": current_rsi,
            "signal": "OVERSOLD",
        })

# Print table
df_results = pd.DataFrame(results)
print(df_results.to_string(index=False))
df_results.to_csv(script_dir / f"{scan_type}_results.csv", index=False)

Predefined Scan Types

Scan Type	Condition	Indicator
rsi-oversold	RSI(14) < 30	RSI
rsi-overbought	RSI(14) > 70	RSI
ema-crossover	EMA(10) crossed above EMA(20) in last 3 bars	EMA
ema-crossunder	EMA(10) crossed below EMA(20) in last 3 bars	EMA
supertrend-buy	Supertrend direction changed to -1 (uptrend)	Supertrend
supertrend-sell	Supertrend direction changed to 1 (downtrend)	Supertrend
macd-crossover	MACD crossed above Signal in last 3 bars	MACD
adx-trending	ADX > 25 (strong trend)	ADX
bb-squeeze	Bollinger Width at 20-bar low (volatility squeeze)	Bollinger
volume-spike	Volume > 2x 20-day average	Volume
custom	Ask user for conditions	Any

Predefined Watchlists

NIFTY 50 (nifty50)

NIFTY50 = [
    "ADANIENT", "ADANIPORTS", "APOLLOHOSP", "ASIANPAINT", "AXISBANK",
    "BAJAJ-AUTO", "BAJFINANCE", "BAJAJFINSV", "BPCL", "BHARTIARTL",
    "BRITANNIA", "CIPLA", "COALINDIA", "DIVISLAB", "DRREDDY",
    "EICHERMOT", "GRASIM", "HCLTECH", "HDFCBANK", "HDFCLIFE",
    "HEROMOTOCO", "HINDALCO", "HINDUNILVR", "ICICIBANK", "INDUSINDBK",
    "INFY", "ITC", "JSWSTEEL", "KOTAKBANK", "LT",
    "M&M", "MARUTI", "NESTLEIND", "NTPC", "ONGC",
    "POWERGRID", "RELIANCE", "SBILIFE", "SBIN", "SUNPHARMA",
    "TCS", "TATACONSUM", "TATAMOTORS", "TATASTEEL", "TECHM",
    "TITAN", "ULTRACEMCO", "UPL", "WIPRO",
]

Bank NIFTY (banknifty)

BANKNIFTY = [
    "HDFCBANK", "ICICIBANK", "KOTAKBANK", "AXISBANK", "SBIN",
    "INDUSINDBK", "BANKBARODA", "FEDERALBNK", "PNB", "IDFCFIRSTB",
    "BANDHANBNK", "AUBANK",
]

Output Format

Symbol     LTP      RSI(14)  Signal
------     ---      -------  ------
SBIN       769.60   28.4     OVERSOLD
TATASTEEL  142.30   25.1     OVERSOLD
COALINDIA  385.00   29.7     OVERSOLD

Scan: RSI Oversold (<30) | Watchlist: NIFTY 50 | Date: 2025-02-28
Found 3 / 50 symbols matching condition
Results saved to: scanners/rsi_oversold/rsi_oversold_results.csv

Example Usage

/indicator-scanner rsi-oversold nifty50 /indicator-scanner ema-crossover banknifty /indicator-scanner supertrend-buy nifty50 /indicator-scanner volume-spike nifty50 /indicator-scanner custom