Upload README.md

README.md

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-license: mit
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+# PriceSeer Dataset
+
+## Introduction
+PriceSeer was designed to provide a professional framework for LLMs stock prediction, including external and internal data. For detailed information about how to collect it and how to use it, please refer to: https://arxiv.org/abs/2601.06088
+
+## Stock Coverage
+This dataset collected totally 110 stocks across 11 sectors in the U.S. stock market, 10 stocks per sector, covers all industries in the market. The stocks are: 
+
+```
+"Technology": ["NVDA", "MSFT", "AAPL", "AVGO", "ORCL", "PLTR", "AMD", "CSCO", "IBM", "CRM"],
+"Financial Services": ["BRK-B", "JPM", "BAC", "MA", "V", "MS", "C", "WFC", "GS", "AXP"],
+"Consumer Cyclical": ["AMZN", "TSLA", "HD", "MCD", "NKE", "LOW", "BKNG", "TJX", "DASH", "MELI"],
+"Communication Services": ["GOOG", "META", "NFLX", "CMCSA", "DIS", "APP", "SPOT", "T", "VZ", "TMUS"],
+"Healthcare": ["UNH", "JNJ", "ISRG", "MRK", "LLY", "ABT", "DHR", "ABBV", "TMO", "AMGN"],
+"Industrials": ["UNP", "GEV", "CAT", "HON", "RTX", "DE", "LMT", "GE", "ETN", "BA"],
+"Consumer Defensive": ["PG", "KO", "PEP", "COST", "WMT", "MDLZ", "CL", "MO", "PM", "MNST"],
+"Energy": ["XOM", "CVX", "COP", "WMB", "EPD", "EOG", "PSX", "KMI", "ET", "MPC"],
+"Basic Materials": ["LIN", "SHW", "FCX", "SCCO", "NEM", "CRH", "APD", "ECL", "CTVA", "VMC"],
+"Utilities": ["NEE", "DUK", "SO", "EXC", "AEP", "SRE", "XEL", "VST", "D", "CEG"],
+"Real Estate": ["WELL", "PLD", "AMT", "EQIX", "SPG", "DLR", "O", "PSA", "CBRE", "CCI"]
+```
+
+## Data Type
+There are 4 data types in the dataset: 
+
+- **Raw data**: the historical stock data in the past 1 year were directly downloaded from open source financial website, including opening price, closing price, daily highest price, daily lowest price, and trading volume. 
+
+- **Financial indicators**: professional financial indicators that can reflect the price trend are calculated based on the raw data. The indicators used are: Simple Return & Log Return, Simple Moving Average (SMA), Relative Strength Index (RSI), Moving Average Convergence/Divergence (MACD) & Signal Line, and Bollinger Bands (BB). 
+
+- **News data**: top 10 the most relavant news on Google research about each stock were downloaded. It consists of the publish date, source, news title, and content.
+
+- **Fake news data**: we generate fake news by manipulating numbers, introducing fictional elements, and employing superlative language in the news data, to introduce perturbations.
+
+
+## Citation
+If you find our work interesting, please feel free to cite our dataset:
+
+```
+@misc{liang2025priceseerevaluatinglargelanguage,
+      title={PriceSeer: Evaluating Large Language Models in Real-Time Stock Prediction}, 
+      author={Bohan Liang and Zijian Chen and Qi Jia and Kaiwei Zhang and Kaiyuan Ji and Guangtao Zhai},
+      year={2025},
+      eprint={2601.06088},
+      archivePrefix={arXiv},
+      primaryClass={q-fin.ST},
+      url={https://arxiv.org/abs/2601.06088}, 
+}
+```