Upload Alt Data/metadata/research_notes.md
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Alt Data/metadata/research_notes.md
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# Quant Research Notes
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This note explains why the supplementary data in `Alt Data` was added and which papers or official data sources motivated it.
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## What was added
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- `Alt Data/options/raw/`
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- Original NIFTY and BANKNIFTY daily option-chain data moved out of the root folder.
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- `Alt Data/options/processed/`
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- Daily option features such as put-call ratios, open-interest changes, OI-weighted strikes, near-expiry ATM fields, and ATM straddle proxies.
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- `Alt Data/external/raw/fred/`
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- Daily external macro and cross-market series from FRED.
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- `Alt Data/external/processed/external_daily_panel.csv`
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- Aligned external panel with level, change, and return-style features where appropriate.
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- `Alt Data/institutional/raw/`
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- Daily institutional cash and F&O flow extracts plus NSE participant-wise derivatives archives.
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- `Alt Data/institutional/processed/institutional_daily_panel.csv`
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- Daily FII/DII cash buy-sell, index futures positioning, and index options positioning features.
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## Why these data types matter
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- Options open interest and option-chain structure:
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- Forward-looking positioning often shows up in put/call OI, OI changes, and near-expiry ATM behavior.
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- Institutional flow and participant positioning:
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- FII and DII cash flows capture who supplied or absorbed equity risk each day, while participant-wise index futures and index options positioning exposes directional buildup and hedge pressure.
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- Implied or volatility-linked information:
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- Volatility-sensitive features help both return and realized-volatility modeling.
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- Macro and financial conditions:
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- Rates, dollar strength, FX, and energy prices often improve regime detection and market-state modeling.
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- Global equity spillovers:
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- U.S. and Asia index moves commonly feed into next-session Indian index behavior.
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## Papers used to guide the additions
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1. `Implied Volatility-Augmented GARCH Models: Evidence from the Indian Equity Market`
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- SSRN: <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5586330>
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- Why it matters: motivates volatility-linked option information for NIFTY research.
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2. `On options-driven realized volatility forecasting: Information gains via rough volatility model`
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- arXiv: <https://arxiv.org/abs/2604.02743>
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- Why it matters: supports combining realized-volatility features with option-derived signals.
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3. `Nifty Index Options: Open Interest Analysis of Options Chain`
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- DOI mirror / metadata page: <https://www.researchgate.net/publication/355301566_Nifty_Index_Options_Open_Interest_Analysis_of_Options_Chain>
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- Why it matters: supports retaining and engineering option-chain open-interest information for NIFTY.
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4. `Forecasting Individual Stock Returns Using Macroeconomic and Technical Variables`
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- SSRN PDF landing page: <https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID3768866_code2747161.pdf?abstractid=3339603&mirid=1&type=2>
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- Why it matters: supports combining technical features with macro variables rather than using price history alone.
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5. `Stock prices and Macroeconomic indicators: Investigating a correlation in Indian context`
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- arXiv: <https://arxiv.org/abs/2112.08071>
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- Why it matters: supports adding exchange-rate, oil, gold, and rate-style macro context in Indian-market research.
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## Official data sources used
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- FRED S&P 500: <https://fred.stlouisfed.org/series/SP500>
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- FRED NASDAQ Composite: <https://fred.stlouisfed.org/series/NASDAQCOM>
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- FRED Dow Jones Industrial Average: <https://fred.stlouisfed.org/series/DJIA>
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- FRED Nikkei 225: <https://fred.stlouisfed.org/series/NIKKEI225>
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- FRED 10-Year Treasury Yield: <https://fred.stlouisfed.org/series/DGS10>
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- FRED Effective Federal Funds Rate: <https://fred.stlouisfed.org/series/FEDFUNDS>
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- FRED Indian Rupees to One U.S. Dollar: <https://fred.stlouisfed.org/series/DEXINUS>
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- FRED Europe Brent Spot Price FOB: <https://fred.stlouisfed.org/series/DCOILBRENTEU>
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- FRED CBOE VIX: <https://fred.stlouisfed.org/series/VIXCLS>
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- FRED Broad U.S. Dollar Index: <https://fred.stlouisfed.org/series/DTWEXBGS>
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- NSE participant-wise open interest archive: <https://archives.nseindia.com/content/nsccl/fao_participant_oi_01012024.csv>
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- NSE participant-wise trading volume archive: <https://archives.nseindia.com/content/nsccl/fao_participant_vol_01012024.csv>
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- NSE FII/DII report landing page: <https://www.nseindia.com/reports/fii-dii?segment=capital-market>
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- Moneycontrol cash activity page: <https://www.moneycontrol.com/markets/fii-dii-data/cash/>
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- Moneycontrol F&O activity page: <https://www.moneycontrol.com/markets/fii-dii-data/futures-and-options/>
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## Practical use
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- Start with `Data/processed/panels/daily_master_panel.csv` for daily modeling.
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- Use `Data/processed/features/<timeframe>/` for single-asset intraday experiments.
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- Join `Alt Data/options/processed/*.csv` into targeted option-flow studies when you want option-led predictors.
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- Join `Alt Data/institutional/processed/institutional_daily_panel.csv` when you want daily institutional flow and positioning context.
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