Dataset: Solana-USDT Historical Data

About this Dataset

Solana-USDT Historical Data

📊 SOLUSDT Historical Candlestick Data

🌐 Welcome to a comprehensive repository of historical SOLUSDT 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_solana_usdt_historical_data.n_12hour

112.72 KB
2321 rows
7 columns


CREATE TABLE n_12hour (
  "n_1597104000_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_84330000" DOUBLE,
  "n_3_04970000" DOUBLE,
  "n_151914_09000000" DOUBLE,
  "n_1597147199999" BIGINT
);

N 15minute

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_15minute

4.15 MB
111313 rows
7 columns


CREATE TABLE n_15minute (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_3_16550000" DOUBLE,
  "n_6115_82000000" DOUBLE,
  "n_1597126499999" BIGINT
);

N 1day

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_1day

62.56 KB
1160 rows
7 columns


CREATE TABLE n_1day (
  "n_1597104000_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_52080000" DOUBLE,
  "n_2_84330000" DOUBLE,
  "n_3_29850000" DOUBLE,
  "n_1552384_78000000" DOUBLE,
  "n_1597190399999" BIGINT
);

N 1hour

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_1hour

1.11 MB
27831 rows
7 columns


CREATE TABLE n_1hour (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_2_95150000" DOUBLE,
  "n_20032_26000000" DOUBLE,
  "n_1597129199999" BIGINT
);

N 1minute

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_1minute

44.83 MB
1669674 rows
7 columns


CREATE TABLE n_1minute (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_2_85000000_2" DOUBLE,
  "n_2_85000000_3" DOUBLE,
  "n_3_60000000" DOUBLE,
  "n_1597125659999" BIGINT
);

N 1month

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_1month

7.79 KB
38 rows
7 columns


CREATE TABLE n_1month (
  "n_1596240000_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_4_88650000" DOUBLE,
  "n_2_74310000" DOUBLE,
  "n_4_74350000" DOUBLE,
  "n_32245620_46000000" DOUBLE,
  "n_1598918399999" BIGINT
);

N 1week

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_1week

14.15 KB
165 rows
7 columns


CREATE TABLE n_1week (
  "n_1597017600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_4_13870000" DOUBLE,
  "n_2_84330000" DOUBLE,
  "n_3_38850000" DOUBLE,
  "n_8187688_49000000" DOUBLE,
  "n_1597622399999" BIGINT
);

N 2hour

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_2hour

581.77 KB
13919 rows
7 columns


CREATE TABLE n_2hour (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_2_92240000" DOUBLE,
  "n_62101_63000000" DOUBLE,
  "n_1597132799999" BIGINT
);

N 30minute

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_30minute

2.18 MB
55658 rows
7 columns


CREATE TABLE n_30minute (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_3_13600000" DOUBLE,
  "n_8928_93000000" DOUBLE,
  "n_1597127399999" BIGINT
);

N 3minute

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_3minute

15.76 MB
556559 rows
7 columns


CREATE TABLE n_3minute (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_2_85000000_2" DOUBLE,
  "n_2_85000000_3" DOUBLE,
  "n_3_60000000" DOUBLE,
  "n_1597125779999" BIGINT
);

N 4hour

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_4hour

310.45 KB
6963 rows
7 columns


CREATE TABLE n_4hour (
  "n_1597118400_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_2_92240000" DOUBLE,
  "n_62101_63000000" DOUBLE,
  "n_1597132799999" BIGINT
);

N 5minute

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_5minute

10.22 MB
333936 rows
7 columns


CREATE TABLE n_5minute (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_3_18520000" DOUBLE,
  "n_3727_86000000" DOUBLE,
  "n_1597125899999" BIGINT
);

N 6hour

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_6hour

211.42 KB
4641 rows
7 columns


CREATE TABLE n_6hour (
  "n_1597125600_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_84330000" DOUBLE,
  "n_3_04970000" DOUBLE,
  "n_151914_09000000" DOUBLE,
  "n_1597147199999" BIGINT
);

N 8hour

@kaggle.jorgesamuelyanas_solana_usdt_historical_data.n_8hour

161.69 KB
3482 rows
7 columns


CREATE TABLE n_8hour (
  "n_1597104000_0" DOUBLE,
  "n_2_85000000" DOUBLE,
  "n_3_47000000" DOUBLE,
  "n_2_85000000_1" DOUBLE,
  "n_2_92240000" DOUBLE,
  "n_62101_63000000" DOUBLE,
  "n_1597132799999" BIGINT
);