license: mit
tags:
- infinite-dataset-hub
- synthetic
GameStockPredict
tags: classification, finance, sports contingency
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'GameStockPredict' dataset is designed for predictive modeling in the context of finance and sports. It contains various features from both the stock market and sports contingency events, and aims to predict stock price movements based on upcoming sports games and their associated outcomes. The dataset is particularly focused on major league sports games that are known to have an impact on the stock market due to factors like consumer spending and media coverage. The 'label' column indicates whether the stock price of a company in the dataset went up, down, or remained stable following the sports game.
CSV Content Preview:
Date,StockTicker,GameDate,Sport,Team1,Team2,WinningTeam,WinningTeamGoals,LosingTeamGoals,SportsImpact,MarketImpact,Label
2023-01-01,APPL,2023-04-15,NFL,Sharks,Eagles,Sharks,21,17,High,Medium,Up
2023-01-02,TSLA,2023-04-16,NBA,Hawks,Knights,Hawks,98,102,Medium,High,Down
2023-01-03,NFLX,2023-04-17,MLB,Pirates,Rockets,Pirates,5,3,Low,Low,Stable
2023-01-04,AMZN,2023-04-18,NHL,Icebreakers,Penguins,Icebreakers,4,2,Medium,Medium,Up
2023-01-05,FB,2023-04-19,NFL,Chargers,Broncos,Broncos,28,14,High,High,Down
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query '':
- Dataset Generation Page: https://huggingface.co./spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=GameStockPredict&tags=classification,+finance,+sports+contingency
- Model: https://huggingface.co./microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co./datasets?other=infinite-dataset-hub