Jitendra12421 commited on
Commit
037a5b7
·
verified ·
1 Parent(s): 955807e

Upload Alt Data/metadata/research_notes.md

Browse files
Files changed (1) hide show
  1. Alt Data/metadata/research_notes.md +78 -0
Alt Data/metadata/research_notes.md ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Quant Research Notes
2
+
3
+ This note explains why the supplementary data in `Alt Data` was added and which papers or official data sources motivated it.
4
+
5
+ ## What was added
6
+
7
+ - `Alt Data/options/raw/`
8
+ - Original NIFTY and BANKNIFTY daily option-chain data moved out of the root folder.
9
+ - `Alt Data/options/processed/`
10
+ - Daily option features such as put-call ratios, open-interest changes, OI-weighted strikes, near-expiry ATM fields, and ATM straddle proxies.
11
+ - `Alt Data/external/raw/fred/`
12
+ - Daily external macro and cross-market series from FRED.
13
+ - `Alt Data/external/processed/external_daily_panel.csv`
14
+ - Aligned external panel with level, change, and return-style features where appropriate.
15
+ - `Alt Data/institutional/raw/`
16
+ - Daily institutional cash and F&O flow extracts plus NSE participant-wise derivatives archives.
17
+ - `Alt Data/institutional/processed/institutional_daily_panel.csv`
18
+ - Daily FII/DII cash buy-sell, index futures positioning, and index options positioning features.
19
+
20
+ ## Why these data types matter
21
+
22
+ - Options open interest and option-chain structure:
23
+ - Forward-looking positioning often shows up in put/call OI, OI changes, and near-expiry ATM behavior.
24
+ - Institutional flow and participant positioning:
25
+ - 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.
26
+ - Implied or volatility-linked information:
27
+ - Volatility-sensitive features help both return and realized-volatility modeling.
28
+ - Macro and financial conditions:
29
+ - Rates, dollar strength, FX, and energy prices often improve regime detection and market-state modeling.
30
+ - Global equity spillovers:
31
+ - U.S. and Asia index moves commonly feed into next-session Indian index behavior.
32
+
33
+ ## Papers used to guide the additions
34
+
35
+ 1. `Implied Volatility-Augmented GARCH Models: Evidence from the Indian Equity Market`
36
+ - SSRN: <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5586330>
37
+ - Why it matters: motivates volatility-linked option information for NIFTY research.
38
+
39
+ 2. `On options-driven realized volatility forecasting: Information gains via rough volatility model`
40
+ - arXiv: <https://arxiv.org/abs/2604.02743>
41
+ - Why it matters: supports combining realized-volatility features with option-derived signals.
42
+
43
+ 3. `Nifty Index Options: Open Interest Analysis of Options Chain`
44
+ - DOI mirror / metadata page: <https://www.researchgate.net/publication/355301566_Nifty_Index_Options_Open_Interest_Analysis_of_Options_Chain>
45
+ - Why it matters: supports retaining and engineering option-chain open-interest information for NIFTY.
46
+
47
+ 4. `Forecasting Individual Stock Returns Using Macroeconomic and Technical Variables`
48
+ - SSRN PDF landing page: <https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID3768866_code2747161.pdf?abstractid=3339603&mirid=1&type=2>
49
+ - Why it matters: supports combining technical features with macro variables rather than using price history alone.
50
+
51
+ 5. `Stock prices and Macroeconomic indicators: Investigating a correlation in Indian context`
52
+ - arXiv: <https://arxiv.org/abs/2112.08071>
53
+ - Why it matters: supports adding exchange-rate, oil, gold, and rate-style macro context in Indian-market research.
54
+
55
+ ## Official data sources used
56
+
57
+ - FRED S&P 500: <https://fred.stlouisfed.org/series/SP500>
58
+ - FRED NASDAQ Composite: <https://fred.stlouisfed.org/series/NASDAQCOM>
59
+ - FRED Dow Jones Industrial Average: <https://fred.stlouisfed.org/series/DJIA>
60
+ - FRED Nikkei 225: <https://fred.stlouisfed.org/series/NIKKEI225>
61
+ - FRED 10-Year Treasury Yield: <https://fred.stlouisfed.org/series/DGS10>
62
+ - FRED Effective Federal Funds Rate: <https://fred.stlouisfed.org/series/FEDFUNDS>
63
+ - FRED Indian Rupees to One U.S. Dollar: <https://fred.stlouisfed.org/series/DEXINUS>
64
+ - FRED Europe Brent Spot Price FOB: <https://fred.stlouisfed.org/series/DCOILBRENTEU>
65
+ - FRED CBOE VIX: <https://fred.stlouisfed.org/series/VIXCLS>
66
+ - FRED Broad U.S. Dollar Index: <https://fred.stlouisfed.org/series/DTWEXBGS>
67
+ - NSE participant-wise open interest archive: <https://archives.nseindia.com/content/nsccl/fao_participant_oi_01012024.csv>
68
+ - NSE participant-wise trading volume archive: <https://archives.nseindia.com/content/nsccl/fao_participant_vol_01012024.csv>
69
+ - NSE FII/DII report landing page: <https://www.nseindia.com/reports/fii-dii?segment=capital-market>
70
+ - Moneycontrol cash activity page: <https://www.moneycontrol.com/markets/fii-dii-data/cash/>
71
+ - Moneycontrol F&O activity page: <https://www.moneycontrol.com/markets/fii-dii-data/futures-and-options/>
72
+
73
+ ## Practical use
74
+
75
+ - Start with `Data/processed/panels/daily_master_panel.csv` for daily modeling.
76
+ - Use `Data/processed/features/<timeframe>/` for single-asset intraday experiments.
77
+ - Join `Alt Data/options/processed/*.csv` into targeted option-flow studies when you want option-led predictors.
78
+ - Join `Alt Data/institutional/processed/institutional_daily_panel.csv` when you want daily institutional flow and positioning context.