Name: EQUIML
Creator: Kaggle
License: http://opendatacommons.org/licenses/odbl/1.0/

About this Dataset

EQUIML

EQUIML (Equity Market Minute-Level Dataset) is a minute-by-minute record of trading activity for major publicly listed companies. Each CSV file corresponds to one stock and contains detailed information about its price movement and trading volume during each one-minute interval.

The dataset follows the standard OHLCV format — Open, High, Low, Close, and Volume — which is widely used in financial analysis and algorithmic trading. Each row represents one minute of market data, making it suitable for fine-grained studies such as intraday price movement analysis, volatility modeling, or high-frequency trading research.

Tables

Amzn 1min

@kaggle.manognap2505_equiml.amzn_1min

42.57 MB
1,579,867 rows
6 columns

CREATE TABLE amzn_1min (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Amzn 1min Test

@kaggle.manognap2505_equiml.amzn_1min_test

137.91 kB
4,800 rows
6 columns

CREATE TABLE amzn_1min_test (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Googl 1min

@kaggle.manognap2505_equiml.googl_1min

37.44 MB
1,401,346 rows
6 columns

CREATE TABLE googl_1min (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Googl 1min Test

@kaggle.manognap2505_equiml.googl_1min_test

143.68 kB
4,800 rows
6 columns

CREATE TABLE googl_1min_test (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Meta 1min

@kaggle.manognap2505_equiml.meta_1min

45.74 MB
1,705,231 rows
6 columns

CREATE TABLE meta_1min (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Meta 1min Test

@kaggle.manognap2505_equiml.meta_1min_test

150.16 kB
4,798 rows
6 columns

CREATE TABLE meta_1min_test (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Msft 1min

@kaggle.manognap2505_equiml.msft_1min

42.71 MB
1,645,860 rows
6 columns

CREATE TABLE msft_1min (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Msft 1min Test

@kaggle.manognap2505_equiml.msft_1min_test

142.02 kB
4,796 rows
6 columns

CREATE TABLE msft_1min_test (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Nvda 1min

@kaggle.manognap2505_equiml.nvda_1min

46.08 MB
1,713,461 rows
6 columns

CREATE TABLE nvda_1min (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);

Nvda 1min Test

@kaggle.manognap2505_equiml.nvda_1min_test

143.68 kB
4,800 rows
6 columns

CREATE TABLE nvda_1min_test (
  "date" TIMESTAMP,
  "n_1_open" DOUBLE  -- 1. Open,
  "n_2_high" DOUBLE  -- 2. High,
  "n_3_low" DOUBLE  -- 3. Low,
  "n_4_close" DOUBLE  -- 4. Close,
  "n_5_volume" DOUBLE  -- 5. Volume
);