Name: S&P500 Market Stock Prediction With NYT Headlines
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

S&P500 Market Stock Prediction With NYT Headlines

This dataset contains every headlines from the "World" section of the NYT for each day, concatenated in one column, ordered by popularity. The label represents if the S&P500 market is going to increase (1) or decrease (0) on the following day.

The aim is then to predict the market evolution based on the last news.
The metrics used for evaluating the model are the accuracy and the f1-score.

Extra-Data can be used.

Good luck and enjoy !

Tables

Dataset Nytimes

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.dataset_nytimes

1.27 MB
3,522 rows
3 columns

CREATE TABLE dataset_nytimes (
  "date" TIMESTAMP,
  "label" BIGINT,
  "news" VARCHAR
);

N 2008

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2008

114.8 kB
366 rows
3 columns

CREATE TABLE n_2008 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2009

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2009

112.37 kB
365 rows
3 columns

CREATE TABLE n_2009 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2010

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2010

114.97 kB
364 rows
3 columns

CREATE TABLE n_2010 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2011

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2011

120.85 kB
365 rows
3 columns

CREATE TABLE n_2011 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2012

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2012

128.37 kB
366 rows
3 columns

CREATE TABLE n_2012 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2013

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2013

125.62 kB
365 rows
3 columns

CREATE TABLE n_2013 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2014

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2014

128.97 kB
365 rows
3 columns

CREATE TABLE n_2014 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2015

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2015

137.44 kB
364 rows
3 columns

CREATE TABLE n_2015 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2016

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2016

138.32 kB
366 rows
3 columns

CREATE TABLE n_2016 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2017

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2017

158 kB
365 rows
3 columns

CREATE TABLE n_2017 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2018

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2018

162.89 kB
365 rows
3 columns

CREATE TABLE n_2018 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2019

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2019

162.91 kB
364 rows
3 columns

CREATE TABLE n_2019 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2020

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2020

159.43 kB
365 rows
3 columns

CREATE TABLE n_2020 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);

N 2021

@kaggle.jonathanpoli_sp500_market_stock_prediction_with_nyt_headlines.n_2021

170.95 kB
364 rows
3 columns

CREATE TABLE n_2021 (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "date" TIMESTAMP,
  "news" VARCHAR
);