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FinSentLLM

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Upload FNSPID folder

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Files changed (19) hide show
  1. .gitattributes +1 -0
  2. FNSPID/.DS_Store +0 -0
  3. FNSPID/Price/.DS_Store +0 -0
  4. FNSPID/Price/ACWI.csv +0 -0
  5. FNSPID/Price/EFA.csv +0 -0
  6. FNSPID/Price/IWM.csv +0 -0
  7. FNSPID/Price/VOO.csv +0 -0
  8. FNSPID/Price/VTI.csv +0 -0
  9. FNSPID/Price/XLF.csv +0 -0
  10. FNSPID/Price_2018_2019/ACWI.csv +504 -0
  11. FNSPID/Price_2018_2019/EFA.csv +504 -0
  12. FNSPID/Price_2018_2019/IWM.csv +504 -0
  13. FNSPID/Price_2018_2019/VOO.csv +504 -0
  14. FNSPID/Price_2018_2019/VTI.csv +504 -0
  15. FNSPID/Price_2018_2019/XLF.csv +504 -0
  16. FNSPID/README.md +125 -0
  17. FNSPID/__pycache__/FNSPID.cpython-313.pyc +0 -0
  18. FNSPID/__pycache__/fnspid_pipeline.cpython-313.pyc +0 -0
  19. FNSPID/nasdaq_2018_2019.csv +3 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ FNSPID/nasdaq_2018_2019.csv filter=lfs diff=lfs merge=lfs -text
FNSPID/.DS_Store ADDED
Binary file (6.15 kB). View file
 
FNSPID/Price/.DS_Store ADDED
Binary file (6.15 kB). View file
 
FNSPID/Price/ACWI.csv ADDED
The diff for this file is too large to render. See raw diff
 
FNSPID/Price/EFA.csv ADDED
The diff for this file is too large to render. See raw diff
 
FNSPID/Price/IWM.csv ADDED
The diff for this file is too large to render. See raw diff
 
FNSPID/Price/VOO.csv ADDED
The diff for this file is too large to render. See raw diff
 
FNSPID/Price/VTI.csv ADDED
The diff for this file is too large to render. See raw diff
 
FNSPID/Price/XLF.csv ADDED
The diff for this file is too large to render. See raw diff
 
FNSPID/Price_2018_2019/ACWI.csv ADDED
@@ -0,0 +1,504 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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FNSPID/Price_2018_2019/EFA.csv ADDED
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1
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FNSPID/Price_2018_2019/IWM.csv ADDED
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1
+ date,volume,open,high,low,close,adj close
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FNSPID/Price_2018_2019/VOO.csv ADDED
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FNSPID/Price_2018_2019/VTI.csv ADDED
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1
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FNSPID/Price_2018_2019/XLF.csv ADDED
@@ -0,0 +1,504 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
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FNSPID/README.md ADDED
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1
+ # FNSPID Sentiment Analysis Pipeline
2
+
3
+ ## Overview
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+
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+ This pipeline analyzes the relationship between news sentiment (from FNSPID dataset) and financial market movements using **the paper's methodology**:
6
+
7
+ - **FinBERT and RoBERTa** dual model predictions (as per paper)
8
+ - **Meta-classifier** (XGBoost) for sentiment aggregation (paper's approach)
9
+ - Rolling correlation analysis
10
+ - Johansen cointegration tests
11
+ - Statistical analysis and visualization
12
+
13
+ ## Key Features - Paper Methodology
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+
15
+ ✅ **Dual Model Architecture**: Uses both FinBERT (ProsusAI/finbert) and RoBERTa (cardiffnlp/twitter-roberta-base-sentiment)
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+ ✅ **Meta-Classifier**: XGBoost meta-classifier trained on FPB AllAgree dataset
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+ ✅ **Feature Engineering**: Probability-based features matching paper's approach
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+ ✅ **Ensemble Method**: Falls back to ensemble averaging if meta-classifier unavailable
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+
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+ ## Files
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+
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+ - `fnspid_pipeline.py` - Main pipeline implementation
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+ - `run_pipeline.py` - Simple runner script
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+ - `config.py` - Configuration parameters
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+ - `nasdaq_2018_2019.csv` - FNSPID news data (2018-2019)
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+ - `Price_2018_2019/` - Directory containing ETF price data
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+
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+ ## Setup
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+
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+ 1. Install required packages:
31
+
32
+ ```bash
33
+ pip install matplotlib arch statsmodels torch transformers pandas numpy tqdm scikit-learn
34
+ ```
35
+
36
+ 2. Ensure data files are in place:
37
+ - `nasdaq_2018_2019.csv` (FNSPID news data)
38
+ - `Price_2018_2019/*.csv` (price data files)
39
+
40
+ ## Usage
41
+
42
+ ### Quick Start
43
+
44
+ ```bash
45
+ python run_pipeline.py
46
+ ```
47
+
48
+ ### Direct Execution
49
+
50
+ ```bash
51
+ python fnspid_pipeline.py
52
+ ```
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+
54
+ ### Custom Configuration
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+
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+ Edit `config.py` to modify:
57
+
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+ - Date ranges
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+ - Price files to analyze
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+ - Model parameters
61
+ - Output settings
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+
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+ ## Pipeline Steps
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+
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+ 1. **Data Loading**: Load news articles and price data
66
+ 2. **Sentiment Analysis**: Score news articles using FinBERT
67
+ 3. **Daily Aggregation**: Aggregate sentiment scores by date
68
+ 4. **Alignment**: Align sentiment with price data
69
+ 5. **Correlation Analysis**: Rolling correlation between returns and sentiment
70
+ 6. **Cointegration Tests**: Johansen tests for long-term relationships
71
+ 7. **Visualization**: Generate correlation plots
72
+ 8. **Results Export**: Save analysis results to CSV
73
+
74
+ ## Outputs
75
+
76
+ All outputs are saved to `outputs_fnspid/` directory:
77
+
78
+ - `daily_sentiment.csv` - Daily aggregated sentiment scores
79
+ - `aligned_series.csv` - Aligned price and sentiment data
80
+ - `market_linkage_results.csv` - Analysis results summary
81
+ - `rolling_corr_*.png` - Correlation plots for each asset
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+
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+ ## Data Requirements
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+
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+ - **FNSPID Data**: CSV with 'Date' and 'Article' columns
86
+ - **Price Data**: CSV files with 'date' and 'adj close' columns
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+ - **Date Format**: YYYY-MM-DD or compatible pandas format
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+
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+ ## Hardware Requirements
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+
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+ - **CPU**: Multi-core recommended for FinBERT processing
92
+ - **GPU**: Optional but recommended for faster sentiment analysis
93
+ - **Memory**: 4GB+ RAM for full dataset processing
94
+
95
+ ## Troubleshooting
96
+
97
+ - Ensure all data files exist in correct locations
98
+ - Check date formats match expected patterns
99
+ - Verify sufficient data points for analysis (minimum 50 per asset)
100
+ - For GPU issues, pipeline will automatically fall back to CPU
101
+
102
+ ## Results Interpretation
103
+
104
+ - **Mean Correlation**: Average correlation between asset returns and sentiment
105
+ - **Correlation Volatility**: How much correlation varies over time
106
+ - **Johansen Tests**: Statistical tests for cointegration relationships
107
+ - trace r=0: Test for at least one cointegrating relationship
108
+ - trace r≤1: Test for at most one cointegrating relationship
109
+ - Values > Critical 5% indicate rejection of null hypothesis
110
+
111
+ ## Example Output
112
+
113
+ ```
114
+ ✅ Loaded price data for: ['VOO', 'VTI', 'IWM', 'XLF', 'EFA', 'ACWI']
115
+ 📅 Date range: 2018-01-02 to 2019-12-31
116
+ ✅ News rows in window: 25,847
117
+ ✅ Using device: cuda
118
+ ✅ Saved daily sentiment -> outputs_fnspid/daily_sentiment.csv
119
+ ✅ Saved aligned series -> outputs_fnspid/aligned_series.csv
120
+
121
+ === Analyzing VOO ===
122
+ Rolling Correlation: mean=0.0234 volatility=0.1456
123
+ Johansen: trace r=0 12.34 (crit5 15.41), trace r≤1 3.21 (crit5 3.76)
124
+ ✅ Saved correlation plot -> outputs_fnspid/rolling_corr_VOO.png
125
+ ```
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