India Market Screener

NSE India & US stocks ranked by AI score — find the best, skip the rest.

NSE screener · Indian stock AI score · Quantitative screening India · NSE stock ranking · AI stock picker India · NSE watchlist generator · Multi-factor stock screener

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What It Does

Screen the entire NSE India and US (NYSE/NASDAQ) stock universes using a 5-factor quantitative AI scoring engine. Get a ranked watchlist of stocks that pass your minimum score threshold — without writing a single line of analysis code.

The only Apify actor that screens NSE India stocks with institutional-grade quantitative signals.

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How the Score Works

Each stock gets a composite AI Score from 1 to 10, built from 5 quantitative factors:

Factor	What It Measures
Quality	Earnings quality, accruals, Piotroski F-Score
Momentum	Price momentum (6-month return trend)
Value	PE, PB ratio valuation relative to peers
Low Volatility	Realized volatility (1-year) — lower is better
Short Interest	Short selling pressure — lower is better

The composite score is weighted and mapped to a 1–10 scale with a clear recommendation:

Score	Recommendation
9–10	Strong Buy
7–8	Buy
5–6	Hold
3–4	Sell
1–2	Avoid

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Use Cases

• Weekly screening — find top-scored NSE stocks every week
• Portfolio filtering — eliminate low-quality stocks before deep analysis
• Market comparison — compare India vs US stocks side-by-side
• Watchlist generation — output feeds directly into trading bots or spreadsheets
• AI agent integration — call from MCP-compatible AI assistants for real-time stock screening
• Quantitative research — factor breakdowns for systematic strategy backtesting
• Indian stock market analysis — screen NSE equities by quality, momentum, value factors
• Automated stock picking — let the AI score engine filter the universe for you

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Scheduled Runs

Set up recurring screenings to catch score changes automatically:

1. Go to the actor page → Schedules tab
2. Set frequency (e.g., weekly on Monday 9 AM IST)
3. Configure input (market, min_score, top_n)
4. Results arrive in your dataset every cycle — no manual runs needed

Recommended schedule: Weekly, India market, min_score 7, top_n 15 — catches high-quality shifts.

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Input

{
  "market": "India",
  "min_score": 6,
  "sort_by": "score",
  "top_n": 20
}

Parameter	Type	Default	Description
market	string	"India"	Which universe to screen: India, US, or both
min_score	number	6	Minimum AI score (1–10) to include in results
sort_by	string	"score"	Sort by: score, momentum, quality, or value
top_n	integer	20	Maximum results to return (1–100)

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Output

{
  "ticker": "RELIANCE.NS",
  "company_name": "Reliance Industries Limited",
  "market": "IN",
  "ai_score": 8,
  "recommendation": "Buy",
  "score_components": {
    "quality": 0.782,
    "momentum": 0.654,
    "value": 0.421,
    "low_vol": 0.591,
    "short_interest": 0.912
  },
  "current_price": 2945.30,
  "data_source": "live",
  "fetched_at": "2026-04-22T10:30:00Z"
}

Field	Description
ticker	Stock ticker (.NS suffix for NSE)
company_name	Full company name
market	IN (India) or US
ai_score	Composite NeuralQuant score 1–10
recommendation	Actionable label: Strong Buy / Buy / Hold / Sell / Avoid
score_components	5 factor percentile breakdowns (0–1 scale)
current_price	Latest traded price
data_source	live (real data) or synthetic_fallback

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Examples

Top 15 NSE India stocks scoring 7+

{
  "market": "India",
  "min_score": 7,
  "sort_by": "score",
  "top_n": 15
}

Best-value US stocks

{
  "market": "US",
  "min_score": 6,
  "sort_by": "value",
  "top_n": 30
}

Top stocks across both markets

{
  "market": "both",
  "min_score": 8,
  "sort_by": "quality",
  "top_n": 10
}

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India NSE Ticker Format

Use .NS suffix for NSE stocks. The screener's built-in universe covers all major NSE-listed equities.

Exchange	Suffix	Example
NSE India	.NS	RELIANCE.NS, TCS.NS, INFY.NS
BSE India	.BO	RELIANCE.BO
US (NYSE/NASDAQ)	none	NVDA, AAPL, MSFT

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MCP Integration

Use this actor directly from AI assistants (Claude, Cursor, VS Code) via the Apify MCP server:

Claude Desktop / Cursor / VS Code:

{
  "mcpServers": {
    "apify-screener": {
      "url": "https://mcp.apify.com?tools=amicable_grid/india-market-screener",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}

Command-line (stdio):

{
  "mcpServers": {
    "apify-screener": {
      "command": "npx",
      "args": ["-y", "@apify/actors-mcp-server", "--tools", "amicable_grid/india-market-screener"],
      "env": { "APIFY_TOKEN": "YOUR_APIFY_TOKEN" }
    }
  }
}

Once configured, ask your AI assistant: "Screen top 10 India NSE stocks by AI score" — it calls the screener directly.

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Related Actors

• NeuralQuant Stock Analyzer — Deep-dive AI analysis for individual US & India stocks. 7-agent debate verdict, full factor breakdown, buy/sell signals. Use the Screener to find candidates, then the Analyzer to go deep.

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Pricing

Pay-per-event. Charged per screening run, regardless of how many stocks pass the filter.

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Built By

Satyam Das — amicable_grid on Apify