Dataset: Ethereum-USDT Historical Data

About this Dataset

Ethereum-USDT Historical Data

📊 ETHUSDT Historical Candlestick Data

🌐 Welcome to a comprehensive repository of historical ETHUSDT data from Binance.

🔍 Purpose:
This dataset has been curated with the specific intention of facilitating rigorous technical analysis and the development of trading strategies within the cryptocurrency space.

📈 Key Features:

Historical price dynamics, capturing price fluctuations and market trends.
A rich tapestry of data to extract valuable trading indicators.

💼 Elevate Your Trading:
Trading cryptocurrencies demands precision and a deep understanding of market data. This dataset empowers you to hone your trading acumen by providing the tools and historical insights necessary to make calculated decisions.

🚀 Uncover Opportunities:
Navigate the complexities of the cryptocurrency market, refine your trading strategies, and take advantage of emerging opportunities.

Tables

N 12hour

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_12hour

219.67 KB
4500 rows
7 columns


CREATE TABLE n_12hour (
  "n_1502928000_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_312_00000000" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_308_95000000" DOUBLE,
  "n_2739_66393000" DOUBLE,
  "n_1502971199999" BIGINT
);

N 15minute

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_15minute

8.38 MB
215490 rows
7 columns


CREATE TABLE n_15minute (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_301_13000000_1" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_298_00000000_1" DOUBLE,
  "n_5_80167000" DOUBLE,
  "n_1502943299999" BIGINT
);

N 1day

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_1day

112.84 KB
2250 rows
7 columns


CREATE TABLE n_1day (
  "n_1502928000_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_312_18000000" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_302_00000000" DOUBLE,
  "n_7030_71034000" DOUBLE,
  "n_1503014399999" BIGINT
);

N 1hour

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_1hour

2.42 MB
53885 rows
7 columns


CREATE TABLE n_1hour (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_302_57000000" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_301_61000000" DOUBLE,
  "n_125_66877000" DOUBLE,
  "n_1502945999999" BIGINT
);

N 1minute

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_1minute

92.7 MB
3232205 rows
7 columns


CREATE TABLE n_1minute (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_301_13000000_1" DOUBLE,
  "n_301_13000000_2" DOUBLE,
  "n_301_13000000_3" DOUBLE,
  "n_0_42643000" DOUBLE,
  "n_1502942459999" BIGINT
);

N 1month

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_1month

9.48 KB
74 rows
7 columns


CREATE TABLE n_1month (
  "n_1501545600_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_393_71000000" DOUBLE,
  "n_144_21000000" DOUBLE,
  "n_384_79000000" DOUBLE,
  "n_82652_55971000" DOUBLE,
  "n_1504223999999" BIGINT
);

N 1week

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_1week

21.19 KB
321 rows
7 columns


CREATE TABLE n_1week (
  "n_1502668800_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_312_18000000" DOUBLE,
  "n_278_00000000" DOUBLE,
  "n_299_10000000" DOUBLE,
  "n_21224_89324000" DOUBLE,
  "n_1503273599999" BIGINT
);

N 2hour

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_2hour

1.22 MB
26953 rows
7 columns


CREATE TABLE n_2hour (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_303_28000000" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_303_10000000" DOUBLE,
  "n_503_34123000" DOUBLE,
  "n_1502949599999" BIGINT
);

N 30minute

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_30minute

4.71 MB
107752 rows
7 columns


CREATE TABLE n_30minute (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_301_13000000_1" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_299_39000000" DOUBLE,
  "n_37_24232000" DOUBLE,
  "n_1502944199999" BIGINT
);

N 3minute

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_3minute

32.97 MB
1077411 rows
7 columns


CREATE TABLE n_3minute (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_301_13000000_1" DOUBLE,
  "n_300_00000000" DOUBLE,
  "n_300_00000000_1" DOUBLE,
  "n_3_28360000" DOUBLE,
  "n_1502942579999" BIGINT
);

N 4hour

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_4hour

637.25 KB
13487 rows
7 columns


CREATE TABLE n_4hour (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_307_96000000" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_307_96000000_1" DOUBLE,
  "n_1561_95305000" DOUBLE,
  "n_1502956799999" BIGINT
);

N 5minute

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_5minute

21 MB
646452 rows
7 columns


CREATE TABLE n_5minute (
  "n_1502942400_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_301_13000000_1" DOUBLE,
  "n_300_00000000" DOUBLE,
  "n_301_13000000_2" DOUBLE,
  "n_3_82951000" DOUBLE,
  "n_1502942699999" BIGINT
);

N 6hour

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_6hour

433.82 KB
8996 rows
7 columns


CREATE TABLE n_6hour (
  "n_1502928000_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_303_28000000" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_303_10000000" DOUBLE,
  "n_503_34123000" DOUBLE,
  "n_1502949599999" BIGINT
);

N 8hour

@kaggle.jorgesamuelyanas_ethereum_usdt_historical_data.n_8hour

323.29 KB
6749 rows
7 columns


CREATE TABLE n_8hour (
  "n_1502928000_0" DOUBLE,
  "n_301_13000000" DOUBLE,
  "n_307_96000000" DOUBLE,
  "n_298_00000000" DOUBLE,
  "n_307_96000000_1" DOUBLE,
  "n_1561_95305000" DOUBLE,
  "n_1502956799999" BIGINT
);