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id
string
context
string
news
string
conversations
list
label
string
pct_change
float64
day_of_week
int64
month
int64
open
float64
close
float64
rsi
null
macd
float64
volume
float64
high
float64
low
float64
adj_close
float64
boll_ub
float64
boll_lb
float64
rsi_30
float64
cci_30
float64
dx_30
float64
close_30_sma
float64
close_60_sma
float64
daily_return
float64
volatility
float64
is_overbought
int64
is_oversold
int64
date
timestamp[us]
news_embedding
list
mentions_policy
int64
mentions_merger
int64
mentions_earnings
int64
mentions_commodity
int64
finance_sentiment_scores
list
avg_finance_sentiment
float64
total_positive_hits
int64
total_negative_hits
int64
rolling_close_3d
float64
rolling_close_5d
float64
rolling_volatility_5d
float64
sma_crossover
int64
sentiment_aligned_return
float64
nifty_0
date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close_30_sma,close_60_sma
China Officials Likely Knew of Bad Milk Sony's CEO on Strategy in 3-D Technology Copper Settles at 16-Month High Gold Ends Near 3-Week High Kraft Gets Antitrust Clearance European Stocks Close Flat M&S Sales Miss Expectations Yen Boosts Japan's Exporters Future Group: Value Retail Unit May Consider IPO Dollar, Yen Gain...
[ { "role": "user", "value": "Project the $SPY index's movement by assessing market data and news headlines from 2010-01-06. Offer a reply as 'Rise', 'Fall', or 'Neutral', along with the predicted percentage change in a newline. Conclude with 'Neutral' if the envisaged modification is under 0.50%.\nContext:da...
Neutral
0.0026
2
1
113.26
113.63
null
0.8299
111,579,900
113.68
112.85
87.7148
113.771
109.333
59.6988
177.9755
10.0699
111.237
109.658
0.003267
0.83
0
0
2010-01-06T00:00:00
[ -0.03648923709988594, -0.04387839511036873, 0.08234494179487228, 0.004978850483894348, 0.05702158808708191, 0.032985422760248184, 0.0007378192385658622, 0.09923822432756424, -0.028514018282294273, -0.022522825747728348, 0.0578375905752182, -0.010023821145296097, 0.022406652569770813, 0.012...
0
1
0
1
[ 0, 0, 0, 0, 0, 0, -0.2, 0, 0, 0.16666666666666666, 0, 0, 0.16666666666666666, 0, 0, 0, 0, 0 ]
0.007407
2
1
null
null
null
1
0.000019
nifty_1
date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close_30_sma,close_60_sma
Britain Set for Next Step on Wind Power Journal Register Taps Paton as CEO Crude Settles Below $83 Gold Pressured by Dollar European Stocks Trade in Tight Ranges Shanghai Slides on PBOC Move Reliance MediaWorks Buys Film Processing Firm ilab UK Exchange Tightens ChiNext Rules Prudential to Buy UOB Unit Dollar, Comm...
[ { "role": "user", "value": "Analyze market data and news headlines dated 2010-01-07 to forecast the direction of the $SPY index. Deliver a response as 'Fall', 'Neutral', or 'Rise', along with the anticipated percentage change in a newline. Conclude with 'Neutral' if the projected change is below 0.50%.\n\nC...
Neutral
0.0007
3
1
113.52
113.71
null
0.8848
116,074,400
113.99
113.43
87.7765
114.0852
109.3058
59.8482
186.6168
13.285
111.3797
109.7655
0.001674
0.56
0
0
2010-01-07T00:00:00
[ -0.023605721071362495, -0.06366635859012604, 0.0012759591918438673, 0.0035727028734982014, -0.0003023141762241721, -0.018021322786808014, 0.06704489141702652, 0.01117733120918274, -0.03640012815594673, -0.03230108693242073, -0.04185261204838753, 0.01890590600669384, -0.12424228340387344, -...
0
1
0
1
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.16666666666666666, 0, 0, 0 ]
-0.007576
0
1
null
null
null
1
-0.000005
nifty_2
date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close_30_sma,close_60_sma
HK, China stocks rise on reforms; brokerages soar South Korean markets at 0500 GMT PRESS DIGEST - Wall Street Journal - Jan 11 Deals of the day -- mergers and acquisitions PRESS DIGEST - New York Times business news - Jan 11 Abu Dhabi SWF sees substantial risk to global economy Credit Suisse hires Australia REIT resear...
[ { "role": "user", "value": "Forecast the $SPY index's trajectory by scrutinizing market data and news headlines from 2010-01-11. Conclude with 'Neutral' if the expected adjustment is less than 0.50%. Furnish a response as 'Rise', 'Fall', or 'Neutral', including the forecasted percentage change in a newline....
Fall
0.0033
0
1
113.89
114.57
null
1.0313
126,402,800
114.62
113.66
88.4404
114.6771
109.6269
61.4606
180.9931
19.7182
111.6113
109.9925
0.005971
0.96
0
0
2010-01-11T00:00:00
[ -0.05103680491447449, -0.0811794176697731, 0.014230870641767979, 0.036484234035015106, 0.048405811190605164, 0.003576352959498763, 0.015141325071454048, -0.02048496901988983, -0.009269163943827152, -0.01914435625076294, 0.048048242926597595, -0.026909222826361656, -0.02777155302464962, 0.0...
1
1
1
1
[ 0.125, 0, 0, 0, 0, -0.1111111111111111, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09090909090909091, 0.125, 0, 0, 0, 0.1111111111111111, 0, 0.1111111111111111, 0, 0, 0, 0, -0.1, 0, -0.1, -0.1, -0.1, 0, 0, 0.1, 0, 0, 0, 0, 0, ...
-0.000075
80
79
113.97
null
null
1
-0
nifty_3
"date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close(...TRUNCATED)
"DemandTec Names Retail Challenge Grand Final Winners at the NASDAQ MarketSite\nPRESS DIGEST - Wall (...TRUNCATED)
[{"role":"user","value":"Forecast the $SPY index's trajectory by scrutinizing market data and news h(...TRUNCATED)
Rise
0.0014
1
1
115.08
114.73
null
1.0913
106,375,700
115.13
114.24
88.5639
115.0245
109.6885
61.7617
183.2269
24.725
111.723
110.0828
-0.003041
0.89
0
0
2010-01-12T00:00:00
[-0.12031091004610062,-0.060863737016916275,0.053502339869737625,0.03808272257447243,0.0467429608106(...TRUNCATED)
1
1
1
1
[0.0,0.0,0.0,0.0,-0.14285714285714285,0.0,0.0,0.0,-0.14285714285714285,0.125,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED)
0.001086
108
86
114.336667
null
null
1
0.000002
nifty_4
"date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close(...TRUNCATED)
"Gear Malfunction Suspected in United Jet Incident\nCorporate Watch\nAsian Shares Slump; Europe Edge(...TRUNCATED)
[{"role":"user","value":"Forecast the $SPY index's trajectory by scrutinizing market data and news h(...TRUNCATED)
Neutral
-0.0093
2
1
113.97
113.66
null
1.0405
163,333,500
114.21
113.22
87.738
115.1449
109.8231
58.5943
112.7005
10.0514
111.8593
110.1487
-0.00272
0.99
0
0
2010-01-13T00:00:00
[-0.056126683950424194,-0.04238346591591835,0.012818051502108574,0.039466794580221176,0.022189242765(...TRUNCATED)
0
0
0
0
[0.0,0.0,-0.16666666666666666,0.0,0.0,0.0,-0.16666666666666666,0.0,0.0,-0.2,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED)
-0.02963
0
3
114.32
114.06
0.005154
1
0.000276
nifty_5
"date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close(...TRUNCATED)
"U.S. 2009 foreclosures shatter record despite aid\nJapan Kan: Markets should set fx unless rapid mo(...TRUNCATED)
[{"role":"user","value":"Anticipate the direction of the $SPY index by analyzing market data and new(...TRUNCATED)
Fall
0.0084
3
1
113.95
114.62
null
1.0654
161,822,000
114.94
113.37
88.479
115.429
109.814
60.4756
136.1508
17.4788
112.0153
110.2442
0.00588
1.57
0
0
2010-01-14T00:00:00
[-0.06934785097837448,-0.058630362153053284,0.08433187752962112,0.02068416215479374,0.03832816332578(...TRUNCATED)
1
1
1
1
[0.125,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.16666666666666666,0.0,0.0,0.0,0.0,0.0,0.25,0.0,-0.1,0.0,0.0,-0.(...TRUNCATED)
0.002665
90
64
114.336667
114.258
0.006449
1
0.000022
nifty_6
"date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close(...TRUNCATED)
"Most Asian Markets Fall; Banks Lift Hong Kong\nU.K. Agency Expands Graft Fight\nDuPont Shrugs Off J(...TRUNCATED)
[{"role":"user","value":"Predict the $SPY index's movement by examining market data and news headlin(...TRUNCATED)
Fall
-0.0112
1
1
114.73
113.64
null
1.0073
212,283,100
114.84
113.2
87.7225
115.7848
110.0282
57.3739
89.7608
3.4928
112.216
110.4037
-0.009501
1.64
0
0
2010-01-19T00:00:00
[-0.03790748491883278,-0.06877488642930984,0.02988554909825325,0.023871252313256264,0.02724776417016(...TRUNCATED)
1
0
1
1
[-0.125,0.0,0.0,0.0,0.0,0.2,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.14285714285714285,(...TRUNCATED)
-0.010057
2
4
113.973333
114.244
0.008432
1
0.000113
nifty_7
"date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close(...TRUNCATED)
"U.S. architecture index up slightly in December\nResearch and Markets: 2010 Worldwide Petrochemical(...TRUNCATED)
[{"role":"user","value":"To predict the $SPY index's direction, analyze market data and news headlin(...TRUNCATED)
Fall
0.0125
2
1
113.62
115.06
null
1.0383
139,172,700
115.13
113.59
88.8186
115.8791
110.4219
60.12
116.7748
6.6574
112.372
110.5175
0.012674
1.54
0
0
2010-01-20T00:00:00
[-0.061204638332128525,-0.07516410946846008,0.04294758290052414,0.0766722783446312,0.081815585494041(...TRUNCATED)
1
1
1
1
[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.058823529411764705,-0.14285714285714285,0.0,0.0,0(...TRUNCATED)
0.001454
130
103
114.44
114.342
0.010489
1
0.000018
nifty_8
"date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close(...TRUNCATED)
"Two Firms Enter Clean-Air Settlement\nTullow's CEO to Meet with Uganda's President\nAldi Faces Suit(...TRUNCATED)
[{"role":"user","value":"Assess market data and news headlines from 2010-01-21 to predict the $SPY i(...TRUNCATED)
Fall
-0.0102
3
1
114.28
113.89
null
0.9575
216,490,200
114.45
112.98
87.9155
115.7003
110.9687
56.9906
69.8756
0.6665
112.468
110.5935
-0.003413
1.47
0
0
2010-01-21T00:00:00
[-0.028179237619042397,-0.07276272773742676,0.020055461674928665,-0.016350222751498222,-0.0031731051(...TRUNCATED)
0
0
1
0
[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,-0.16666666666666666,-0.16666666666666666,0.0,0.2,0.0,0.0,0.0,0.0,0(...TRUNCATED)
-0.006667
1
2
114.196667
114.174
0.011441
1
0.000068
nifty_9
"date,open,high,low,close,adj_close,volume,pct_change,macd,boll_ub,boll_lb,rsi_30,cci_30,dx_30,close(...TRUNCATED)
"Dollar Strengthens Against the Yen\nFinancials Lead Asia Losses\nFlorida Likely to Win High-Speed R(...TRUNCATED)
[{"role":"user","value":"Anticipate the direction of the $SPY index by analyzing market data and new(...TRUNCATED)
Neutral
-0.0223
0
1
111.2
109.21
null
0.3069
345,942,400
111.74
109.09
84.3028
116.1088
110.3452
46.7388
-130.0211
33.2706
112.4833
110.6922
-0.017896
2.65
0
0
2010-01-25T00:00:00
[-0.0628279596567154,-0.10011492669582367,0.0597771517932415,0.05972709506750107,0.03246279433369636(...TRUNCATED)
0
0
1
1
[0.0,0.0,0.0,0.0,0.25,-0.25,0.0,0.0,-0.25,0.0,0.0,0.16666666666666666,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED)
0.014881
4
2
112.72
113.284
0.014574
1
-0.000332
End of preview. Expand in Data Studio

NIFTY-Feature-Enhanced

Dataset Summary

NIFTY-Feature-Enhanced is a multi-modal, finance-focused dataset built on top of raeidsaqur/NIFTY . We enrich the original dataset with structured financial indicators, derived signals, temporal features, sentiment scores, embeddings, and event tags.

This makes it suitable for:

Predictive ML models (e.g., XGBoost, LSTMs, Transformers)

Financial NLP tasks (sentiment, RAG, semantic search)

Multi-modal research (numeric + textual features combined)

Enrichments Added

Temporal Features

day_of_week, month

Market Indicators (parsed from context)

open, close, high, low, adj_close, volume, pct_change

Technical signals: macd, rsi, rsi_30, cci_30, dx_30, boll_ub, boll_lb, close_30_sma, close_60_sma

Derived Financial Signals

daily_return = (close-open)/open

volatility = high-low

is_overbought (RSI>70), is_oversold (RSI<30)

NLP Enrichments

news_embedding → 384-dim semantic vector (MiniLM)

finance_sentiment_scores (lexicon-based per-headline)

avg_finance_sentiment → aggregate sentiment per day

total_positive_hits, total_negative_hits

Event Tags (regex-based)

mentions_policy, mentions_merger, mentions_earnings, mentions_commodity

Rolling & Cross Features

rolling_close_3d, rolling_close_5d

rolling_volatility_5d

sma_crossover (30SMA vs. 60SMA)

sentiment_aligned_return = sentiment × pct_change

Example Row

{ "date": "2010-01-26", "open": 110.12, "close": 109.77, "volume": 147680200, "macd": 0.8312, "rsi_30": 59.84, "daily_return": -0.0031, "volatility": 1.12, "is_overbought": 0, "is_oversold": 0, "avg_finance_sentiment": 0.007, "mentions_policy": 1, "mentions_merger": 0, "mentions_earnings": 1, "mentions_commodity": 1, "rolling_close_3d": 110.95, "rolling_close_5d": 112.31, "sma_crossover": 1, "sentiment_aligned_return": -2.1e-05, "news_embedding": [0.036, -0.041, 0.082, ...] # 384-dim vector }

Use Cases

Financial prediction: Build ML models using enriched market + sentiment signals.

Financial NLP: Benchmark sentiment models, retrieval tasks, RAG pipelines.

Multi-modal ML: Combine embeddings + structured features for hybrid models.

Explainability studies: Investigate interactions between news tone and market moves.

Citation

If you use the NIFTY Financial dataset in your work, please consider citing our paper:

@article{raeidsaqur2024NiftyLM, title = {NIFTY-LM Financial News Headlines Dataset for LLMs}, author = {Raeid Saqur}, year = 2024, journal = {ArXiv}, url = {https://arxiv.org/abs/2024.5599314} }

Acknowledgements

Original dataset: raeidsaqur/NIFTY

Enrichments by Naga Adithya Kaushik (GenAIDevTOProd)

This makes NIFTY-Feature-Enhanced one of the most feature-rich financial datasets on Hugging Face, bridging numeric markets + NLP headlines for ML + GenAI research.

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