NeuralQuant Stock Analyzer

Institutional-grade AI stock analysis — US & India markets.

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What It Does

Get a 5-factor AI score (1–10) for any US or India stock — plus an optional 7-agent AI debate that delivers bull/bear cases, risk factors, and an investment thesis.

The only Apify actor covering NSE India stocks with AI-powered analysis.

Two Modes

Mode	What You Get	Cost
quant (default)	5-factor AI score, recommendation, factor breakdown, macro regime	$0.05/ticker
full_ai	Everything in quant + 7-agent Claude debate with bull/bear cases, investment thesis, risk factors, consensus score	$0.25/ticker

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How the Score Works

Each stock is scored on 5 quantitative factors, mapped to a 1–10 composite:

Factor	What It Measures
Quality	Gross margins, accruals ratio, Piotroski F-Score
Momentum	6-month price momentum trend
Value	PE & PB ratios relative to sector
Low Volatility	1-year realized volatility — lower is better
Short Interest	Short selling pressure — lower is better

Scores map to clear recommendations:

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

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The 7-Agent AI Debate (full_ai mode)

In full_ai mode, seven specialized Claude agents independently analyze the stock, then debate to reach a consensus:

1. Bull Analyst — makes the bull case
2. Bear Analyst — makes the bear case
3. Quantitative Strategist — pure numbers
4. Risk Assessor — identifies downsides
5. Fundamental Analyst — deep valuation
6. Macro Strategist — macro environment lens
7. Debate Moderator — synthesizes consensus

You get a final consensus score (0–100), investment thesis, bull case, bear case, and key risk factors.

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Use Cases

• Pre-trade screening — get a quick quant score before committing capital
• Due diligence — run full_ai for deep multi-perspective analysis
• India stock research — the only actor that scores NSE stocks with institutional signals
• Portfolio monitoring — run weekly on your holdings to catch deterioration

Looking for top stocks without knowing which tickers to check? Use the India Market Screener to rank the entire NSE & US universe by AI score, then deep-dive candidates here.

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Input

{
  "tickers": ["NVDA", "TCS.NS", "RELIANCE.NS"],
  "mode": "quant",
  "max_spend_usd": 2.0
}

Parameter	Type	Default	Description
tickers	string[]	["NVDA", "TCS.NS"]	Stock symbols. Use .NS for NSE, .BO for BSE. No suffix for US.
mode	string	"quant"	quant = signal engine only. full_ai = quant + 7-agent debate.
max_spend_usd	number	2.0	Safety cap on Claude API spend. Only applies to full_ai mode.

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Output

Quant Mode Output

{
  "ticker": "NVDA",
  "market": "US",
  "company_name": "NVIDIA Corporation",
  "current_price": 875.42,
  "ai_score": 8,
  "composite_score_raw": 0.7234,
  "recommendation": "Buy",
  "score_components": {
    "quality": 0.812,
    "momentum": 0.934,
    "value": 0.312,
    "low_vol": 0.567,
    "short_interest": 0.890
  },
  "macro_regime": {
    "vix": 14.2,
    "fred_sourced": true
  },
  "data_source": "live",
  "fetched_at": "2026-04-22T10:30:00Z"
}

Full AI Mode (additional fields)

{
  "debate_verdict": "Moderate Buy with Caution",
  "investment_thesis": "NVIDIA dominates AI chip market...",
  "bull_case": "AI infrastructure spend accelerating...",
  "bear_case": "Valuation stretched at 70x PE...",
  "risk_factors": "China export controls, GPU demand cyclicality...",
  "consensus_score": 72
}

Field	Description
ai_score	Composite 1–10 score
recommendation	Strong Buy / Buy / Hold / Sell / Avoid
score_components	5 factor percentile breakdowns
macro_regime	VIX level and data source
debate_verdict	AI debate consensus (full_ai only)
investment_thesis	Synthesized thesis (full_ai only)
bull_case / bear_case	Opposing arguments (full_ai only)
risk_factors	Key risks identified (full_ai only)
consensus_score	0–100 debate consensus (full_ai only)

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Examples

Quick quant score for US stocks

{
  "tickers": ["AAPL", "MSFT", "GOOGL"],
  "mode": "quant"
}

Deep AI analysis for India stocks

{
  "tickers": ["RELIANCE.NS", "TCS.NS", "INFY.NS"],
  "mode": "full_ai",
  "max_spend_usd": 5.0
}

Mixed portfolio check

{
  "tickers": ["NVDA", "RELIANCE.NS", "HDFCBANK.NS", "MSFT"],
  "mode": "quant"
}

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India NSE Ticker Format

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

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full_ai Mode Requirements

full_ai mode requires an ANTHROPIC_API_KEY secret set in the actor's environment. This is used for the 7-agent Claude debate. The quant mode works without any API keys.

A cost gate prevents overspending — if estimated Claude costs exceed max_spend_usd, the run fails with a clear message.

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Pricing

Pay-per-event:

Event	Price
Actor start	$0.05
Ticker analyzed (quant mode)	$0.05 each
Ticker analyzed (full_ai mode)	$0.25 each

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Related Actors

• India Market Screener — Screen the entire NSE India & US stock universe by 5-factor AI score. Find top-ranked stocks automatically, then analyze them here.

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Built By

Satyam Das — amicable_grid on Apify