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NLP in Financial Research: Evidence, Classification and Limitations
A practical framework for using natural-language processing in market research without confusing text classification with a trading forecast.
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Editorial context on market analysis, technical methods, and responsible use of AI in financial research.
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Market Sentiment Analysis: Measurement, Validation and Failure Modes
How to build and evaluate a sentiment indicator while controlling for source quality, timing, drift and false precision.
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Evaluating Stock-Market Forecasts in India
A transparent scorecard for forecast horizons, baselines, error, calibration and point-in-time testing.
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AI and Market-Crash Risk: Indicators, Probabilities and Limits
Why crash-risk systems should monitor conditions and uncertainty instead of claiming to predict a crash date.
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NIFTY and Sensex Models: Horizons, Benchmarks and Evaluation
How index research changes across short, medium and long horizons, with a focus on reproducible assumptions.
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Astro-Finance Claims: An Evidence Standard for Market Research
A clear distinction between cultural interest, testable market hypotheses and unsupported investment claims.
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Weekly Indian Market Outlook: A Reproducible Research Workflow
A timestamped framework for assembling weekly index, breadth, earnings and macro evidence without inventing a live forecast.
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Long-Horizon Indian Equity Scenarios: 2025–2030 Research Method
A scenario framework for earnings, valuation, inflation and rates that avoids presenting a single long-range target as fact.
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AI and Human Market Research: Complementary Roles and Governance
A balanced operating model for automation, analyst judgement, review, provenance and accountable publication.
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Use transparent formulas, filing checklists, sourcebooks, and evaluation methodologies alongside editorial context.