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README.md
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---
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license: other
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license_name: minopy
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license_link: https://github.com/Minopy/LICENSE/blob/main/LICENSE
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tags:
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- finance
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- crypto
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- XRP
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pretty_name: XRP/USDT
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---
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# XRP Price Dataset with Technical Indicators
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Welcome to the XRP / USDT Price Dataset with Technical Indicators, hosted by the cɪ organization. This dataset is designed to provide comprehensive historical data on XRP 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).
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## Dataset Description
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This dataset includes the following columns:
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- **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.
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- **open**: The opening price of XRP at the given timestamp.
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- **high**: The highest price of XRP during the period.
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- **low**: The lowest price of XRP during the period.
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- **close**: The closing price of XRP at the given timestamp.
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- **volume**: The trading volume of XRP during the period.
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- **MA_20**: 20-period moving average.
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- **MA_50**: 50-period moving average.
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- **MA_200**: 200-period moving average.
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- **RSI**: Relative Strength Index.
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- **%K**: Stochastic Oscillator %K.
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- **%D**: Stochastic Oscillator %D.
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- **ADX**: Average Directional Index.
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- **ATR**: Average True Range.
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- **Trendline**: Calculated trendline value.
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- **MACD**: Moving Average Convergence Divergence.
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- **Signal**: Signal line for MACD.
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- **Histogram**: MACD histogram.
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- **BL_Upper**: Bollinger Bands Upper.
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- **BL_Lower**: Bollinger Bands Lower.
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- **MN_Upper**: Minopy Bands Upper.
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- **MN_Lower**: Minopy Bands Upper.
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## Usage
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This dataset can be used for:
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- Developing and testing cryptocurrency trading bots.
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- Performing technical analysis on XRP price movements.
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- Researching the effectiveness of various technical indicators.
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- Training AI models for predictive analytics in cryptocurrency markets.
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- Building machine learning models to forecast XRP price trends.
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- Enhancing algorithmic trading strategies with historical data.
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## Important Note
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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.
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## Donate
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If you find this dataset useful, please consider donating to support our continued development.
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- **Paypal**: `paypal.me/MinopyLM`
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- **Bitcoin**: `bc1pyul9j5ppckvmp4s37v4nxjfz8kysvpncppq4v6apkah7spee5rtsf5k5jw`
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- **Ethereum**: `0xbd7d803b64fa2c3687e606cde33cfbab56862209`
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- **USDT**: `TUvbYH5w16EJB8pWeV3XGra3DXLDvMmPGm`
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- **XRP**: `0xbd7d803b64fa2c3687e606cde33cfbab56862209`
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- **BNB**: `0xbd7d803b64fa2c3687e606cde33cfbab56862209`
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- **SOL**: `8a61ECdwtoiQJwycio2HysbZiBN1VjfXM7kekF5t6Rht`
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- **TON**: `UQDU1g63cp4T5ScApRH2kHmeV6IuUs_ikBmlqZVJ99wp7gT-`
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- **TRX**: `TUvbYH5w16EJB8pWeV3XGra3DXLDvMmPGm`
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- **SUI**: `0x250ba0e6f6de3acbe7531bbe11316dea0b371e93f5319adc7bbfa98e9f738886`
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- **DOGE**: `D85P6uBeumH2x77oAUdhN9WhztYdVnhoMq`
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## Contributing
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We welcome contributions to improve this dataset. Please feel free to open issues or submit pull requests.
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## Contact
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For any questions or inquiries, please contact us at [[email protected]].
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