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---
tags:
- finance
- crypto
- BTC
- Bitcoin
pretty_name: BTC/USDT
license: mit
---
# BTC Price Dataset with Technical Indicators
Welcome to the BTC / USDT Price Dataset with Technical Indicators, hosted by the WinkingFace Team. This dataset is designed to provide comprehensive historical data on Bitcoin prices along with a variety of technical indicators to aid in cryptocurrency trading analysis and research. The dataset is updated every 3 minutes (delayed 1 minute).
## Dataset Description
This dataset includes the following columns:
- **timestamp**: The date and time of the data point in UTC (Coordinated Universal Time). This is a standard time reference that does not change with seasons or time zones.
- **open**: The opening price of Bitcoin at the given timestamp.
- **high**: The highest price of Bitcoin during the period.
- **low**: The lowest price of Bitcoin during the period.
- **close**: The closing price of Bitcoin at the given timestamp.
- **volume**: The trading volume of Bitcoin during the period.
- **MA_20**: 20-period moving average.
- **MA_50**: 50-period moving average.
- **MA_200**: 200-period moving average.
- **RSI**: Relative Strength Index.
- **%K**: Stochastic Oscillator %K.
- **%D**: Stochastic Oscillator %D.
- **ADX**: Average Directional Index.
- **ATR**: Average True Range.
- **Trendline**: Calculated trendline value.
- **MACD**: Moving Average Convergence Divergence.
- **Signal**: Signal line for MACD.
- **Histogram**: MACD histogram.
- **BL_Upper**: Bollinger Bands Upper.
- **BL_Lower**: Bollinger Bands Lower.
- **MN_Upper**: Minopy Bands Upper.
- **MN_Lower**: Minopy Bands Lower.
## Usage
This dataset can be used for:
- Developing and testing cryptocurrency trading bots.
- Performing technical analysis on Bitcoin price movements.
- Researching the effectiveness of various technical indicators.
- Training AI models for predictive analytics in cryptocurrency markets.
- Building machine learning models to forecast Bitcoin price trends.
- Enhancing algorithmic trading strategies with historical data.
## Important Note
This dataset is provided for educational and research purposes only. It is not intended as financial advice. Please conduct your own research and consult with a financial advisor before making any investment decisions.
## Donate
If you find this dataset useful, please consider donating to support our continued development.
- **Bitcoin**: `bc1pcl6pj5k8t04nhhtrq0f5q4ya82kmldw8r6dzdw45uux5hanrkefswjp29r`
- **Ethereum**: `0xdc2ef164f5de92acb51fac2cb9ca1fbc43ab6991`
- **USDT**: `TDGMU3fJKmbTVRdGg8d9a7xud3uMKpFEe4`
- **USDC**: `Bi6DMiGm5YLXv5av87P8m1rUyKtXXrBwMbXnJRT8UQEA`
- **BNB**: `0xdc2ef164f5de92acb51fac2cb9ca1fbc43ab6991`
- **SOL**: `Bi6DMiGm5YLXv5av87P8m1rUyKtXXrBwMbXnJRT8UQEA`
- **TON**: `UQDr_VdpmXw2Wc2jX8FTFhhuyIFueremA5G78KzWhoQW9mOR`
- **TRX**: `TDGMU3fJKmbTVRdGg8d9a7xud3uMKpFEe4`
- **SUI**: `0x83d33b3af1f421deba5ceaa43b3e14cbe5f2169c7a684592f4a5df2e4382230f`
- **DOGE**: `DAe4LN3vYQmTHTrThRhzfZcEMCEBaxvAaH`
## Contributing
We welcome contributions to improve this dataset. Please feel free to open issues or submit pull requests.
## Contact
For any questions or inquiries, feel free to [contact us here 📨](mailto:[email protected]). |