BTCUSDT Historical OHLC Data (2020-2024)
5m, 15m, 30m intervals cover 2020-2024 BTCUSDT data.
@kaggle.maresal_btcbusd_instant_data
5m, 15m, 30m intervals cover 2020-2024 BTCUSDT data.
@kaggle.maresal_btcbusd_instant_data
Detailed historical OHLC data for BTC/USDT trading pair on Binance, featuring 5-minute, 15-minute, and 30-minute intervals from 2020 to 2024.
This dataset is a valuable resource for crypto traders, quants, and researchers aiming to analyze Bitcoin price movements on shorter timeframes. Designed for intraday trading and short-term analysis, it includes meticulously structured data across three time intervals: 5 minutes, 15 minutes, and 30 minutes.
Key Features:
Time Range: January 2020 - December 2024
Intervals:
Data Fields:
Why This Dataset?
Tailored for intraday and short-term trading research.
Enables backtesting of high-frequency and scalping strategies.
Suitable for predictive modeling, technical analysis, and market anomaly detection.
Potential Use Cases:
High-frequency trading model development
Short-term trend and momentum analysis
Intraday price forecasting
Visualizing Bitcoin's price movements across different short intervals
Disclaimer:
This dataset is intended for educational and research purposes only. Please ensure compliance with Binance API's terms of service if utilizing this data for commercial projects.
Note: This dataset is preprocessed and optimized for seamless integration into various analytics and modeling workflows.
CREATE TABLE js_15m (
"unnamed_0" BIGINT -- Unnamed: 0,
"open_time" VARCHAR,
"open_price" DOUBLE,
"high_price" DOUBLE,
"low_price" DOUBLE,
"close_price" DOUBLE,
"volume" DOUBLE,
"close_time" VARCHAR
);CREATE TABLE js_30m (
"unnamed_0" BIGINT -- Unnamed: 0,
"open_time" VARCHAR,
"open_price" DOUBLE,
"high_price" DOUBLE,
"low_price" DOUBLE,
"close_price" DOUBLE,
"volume" DOUBLE,
"close_time" VARCHAR
);CREATE TABLE js_5m (
"unnamed_0" BIGINT -- Unnamed: 0,
"open_time" VARCHAR,
"open_price" DOUBLE,
"high_price" DOUBLE,
"low_price" DOUBLE,
"close_price" DOUBLE,
"volume" DOUBLE,
"close_time" VARCHAR
);Anyone who has the link will be able to view this.