Deploy an army of specialised quantitative agents that analyze, debate, and forecast market movements with unprecedented precision — across the S&P 500 and NIFTY 500.
Every AI agent now reasons over live technical indicators, insider flows, news sentiment, and sector peer comparisons — not placeholders.
RSI-14, MACD, ATR, SMA-50/200, volume ratio — computed from real Finnhub candles, not estimates. Crash protection flags when RSI >80 or MACD flips.
Real insider net buy ratio and cluster scores from SEC Form 4 + Finnhub filings. Know when insiders are buying or selling before the market catches on.
Finnhub buzz score, bullish/bearish %, sentiment label — fed directly into the sentiment agent. Headlines plus full article summaries in Ask Morgan.
India VIX, RBI repo rate, INR/USD, Nifty vs 200MA, Sensex close — India stocks now get India-specific regime labels, not US VIX thresholds.
Every stock now compares P/E, ROE, gross margin, D/E, and composite score against sector medians. “P/E 22x” means something when the sector median is 28x.
Ask Morgan remembers your prior questions within a session. Follow-ups like “what about the bear case?” now carry context from the previous turn.
Before you invest, specialist agents argue every angle — macro, fundamentals, technicals, sentiment, geopolitics, and an adversarial devil's advocate — then a Bull vs. Bear debate settles it. A Head Analyst delivers the final verdict.
Interest rates, GDP, Fed policy
Earnings, margins, Piotroski F-Score
Price action, RSI, moving averages
News, insider activity, social buzz
Trade policy, regulation, global risk
Challenges every bull thesis
Every selection was scored by the QuantFactor Engine (IRS%) and tracked against NIFTY50 from April through June 2026. No hindsight. No cherry-picking.
Individual selection returns — Q1 FY2027
Backtest results available after first quarter evaluation
Pool-level results from Q1 FY2027 (Apr–Jun 2026)
Quarterly breakdown available after evaluation
Results shown are based on backtested quantitative selection using the QuantFactor Engine (IRS% scoring system) applied to Indian SmallCap 250 and MicroCap 250 universes for Q1 FY2027 (April–June 2026). Past performance does not guarantee future results. Backtested results are hypothetical and do not reflect actual trading. NeuralQuant is a research and analytics tool — it is not a SEBI-registered Investment Advisor, Portfolio Manager, or Research Analyst. Nothing on this page constitutes investment advice. Please consult a SEBI-registered financial advisor before making any investment decisions.
Watch how IRS% scoring and PARA-DEBATE analysis work together to deliver institutional-grade equity research — in seconds.
Every stock scored on a 0-100 scale across value, momentum, quality, low-volatility, and insider factors — sector-adjusted.
7 specialist agents argue bull and bear cases. A Head Analyst synthesises the debate into a single conviction rating.
Regime detection, drawdown flags, and geopolitical scans keep you from walking into avoidable losses.
Full access to PARA-DEBATE, Ask Morgan, screener, and watchlists — no credit card required.
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Every NeuralQuant factor is grounded in peer-reviewed finance research — not hype.
Returns to Buying Winners and Selling Losers
Jegadeesh & Titman (1993)
Momentum factor — 12-1 month return ranking
Value Investing: The Use of Historical Financial Statement Information
Piotroski (2000)
F-Score quality metric in our quality factor
A New Approach to Filtering and Smoothing
Hamilton (1989)
Regime-switching HMM for bull/bear classification
Contrarian Investment, Extrapolation, and Risk
Lakonishok, Shleifer & Vishny (1994)
Value factor — P/E and P/B cross-sectional ranking
The Cross-Section of Volatility and Expected Returns
Ang, Hodrick, Xing & Zhang (2006)
Low-volatility factor — inverse of realized volatility and beta
Insider Trading and the Information Content of Earnings Announcements
Lakonishok & Lee (2001)
Insider cluster score from SEC Form 4 filings
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