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- .gitattributes +2 -0
- AAVE/AAVE_15m.csv +0 -0
- AAVE/AAVE_1h.csv +0 -0
- AAVE/README.md +14 -0
- ADA/ADA_15m.csv +0 -0
- ADA/ADA_1h.csv +0 -0
- ADA/README.md +14 -0
- ALGO/ALGO_15m.csv +0 -0
- ALGO/ALGO_1h.csv +0 -0
- ALGO/README.md +14 -0
- ARB/ARB_15m.csv +0 -0
- ARB/ARB_1h.csv +0 -0
- ARB/README.md +14 -0
- ATOM/ATOM_15m.csv +0 -0
- ATOM/ATOM_1h.csv +0 -0
- ATOM/README.md +14 -0
- AVAX/AVAX_15m.csv +0 -0
- AVAX/AVAX_1h.csv +0 -0
- AVAX/README.md +14 -0
- BCH/BCH_15m.csv +0 -0
- BCH/BCH_1h.csv +0 -0
- BCH/README.md +14 -0
- BNB/BNB_15m.csv +0 -0
- BNB/BNB_1h.csv +0 -0
- BNB/README.md +14 -0
- BTC/BTC_15m.csv +0 -0
- BTC/BTC_1h.csv +0 -0
- BTC/README.md +14 -0
- DOGE/DOGE_15m.csv +0 -0
- DOGE/DOGE_1h.csv +0 -0
- DOGE/README.md +14 -0
- DOT/DOT_15m.csv +0 -0
- DOT/DOT_1h.csv +0 -0
- DOT/README.md +14 -0
- ETC/ETC_15m.csv +0 -0
- ETC/ETC_1h.csv +0 -0
- ETC/README.md +14 -0
- ETH/ETH_15m.csv +0 -0
- ETH/ETH_1h.csv +0 -0
- ETH/README.md +14 -0
- FIL/FIL_15m.csv +0 -0
- FIL/FIL_1h.csv +0 -0
- FIL/README.md +14 -0
- LINK/LINK_15m.csv +0 -0
- LINK/LINK_1h.csv +0 -0
- LINK/README.md +14 -0
- LTC/LTC_15m.csv +0 -0
- LTC/LTC_1h.csv +0 -0
- LTC/README.md +14 -0
- MATIC/MATIC_15m.csv +0 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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_combined/all_symbols_15m.csv filter=lfs diff=lfs merge=lfs -text
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_combined/all_symbols_1h.csv filter=lfs diff=lfs merge=lfs -text
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AAVE/AAVE_15m.csv
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AAVE/AAVE_1h.csv
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AAVE/README.md
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# AAVE
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Cryptocurrency: AAVE
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## Files
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- AAVE_1h.csv: 1h (39,082 rows)
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- AAVE_15m.csv: 15m (80,000 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('AAVE_1h.csv')
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```
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ADA/ADA_15m.csv
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ADA/ADA_1h.csv
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ADA/README.md
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# ADA
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Cryptocurrency: ADA
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## Files
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- ADA_1h.csv: 1h (54,865 rows)
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- ADA_15m.csv: 15m (80,000 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('ADA_1h.csv')
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```
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ALGO/ALGO_15m.csv
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ALGO/ALGO_1h.csv
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ALGO/README.md
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# ALGO
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Cryptocurrency: ALGO
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## Files
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- ALGO_15m.csv: 15m (80,000 rows)
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- ALGO_1h.csv: 1h (34,870 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('ALGO_1h.csv')
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```
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ARB/ARB_15m.csv
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ARB/ARB_1h.csv
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ARB/README.md
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# ARB
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Cryptocurrency: ARB
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## Files
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- ARB_15m.csv: 15m (80,000 rows)
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- ARB_1h.csv: 1h (23,490 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('ARB_1h.csv')
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```
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ATOM/ATOM_15m.csv
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ATOM/ATOM_1h.csv
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ATOM/README.md
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# ATOM
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Cryptocurrency: ATOM
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## Files
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- ATOM_15m.csv: 15m (80,000 rows)
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- ATOM_1h.csv: 1h (53,988 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('ATOM_1h.csv')
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```
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AVAX/AVAX_15m.csv
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AVAX/AVAX_1h.csv
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AVAX/README.md
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# AVAX
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Cryptocurrency: AVAX
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## Files
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- AVAX_15m.csv: 15m (80,000 rows)
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- AVAX_1h.csv: 1h (36,058 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('AVAX_1h.csv')
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```
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BCH/BCH_15m.csv
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BCH/BCH_1h.csv
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BCH/README.md
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# BCH
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Cryptocurrency: BCH
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## Files
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- BCH_15m.csv: 15m (80,000 rows)
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- BCH_1h.csv: 1h (54,913 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('BCH_1h.csv')
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```
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BNB/BNB_15m.csv
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BNB/BNB_1h.csv
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BNB/README.md
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# BNB
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Cryptocurrency: BNB
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## Files
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- BNB_1h.csv: 1h (54,913 rows)
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- BNB_15m.csv: 15m (80,000 rows)
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## Usage
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| 10 |
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```python
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import pandas as pd
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df = pd.read_csv('BNB_1h.csv')
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```
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BTC/BTC_15m.csv
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BTC/BTC_1h.csv
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BTC/README.md
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# BTC
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Cryptocurrency: BTC
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## Files
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- BTC_15m.csv: 15m (80,000 rows)
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- BTC_1h.csv: 1h (54,913 rows)
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## Usage
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| 10 |
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```python
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| 12 |
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import pandas as pd
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df = pd.read_csv('BTC_1h.csv')
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```
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DOGE/DOGE_15m.csv
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DOGE/DOGE_1h.csv
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DOGE/README.md
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# DOGE
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Cryptocurrency: DOGE
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## Files
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- DOGE_1h.csv: 1h (54,156 rows)
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- DOGE_15m.csv: 15m (80,000 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('DOGE_1h.csv')
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```
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DOT/DOT_15m.csv
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DOT/DOT_1h.csv
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DOT/README.md
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# DOT
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Cryptocurrency: DOT
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## Files
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- DOT_15m.csv: 15m (80,000 rows)
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- DOT_1h.csv: 1h (35,722 rows)
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## Usage
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| 10 |
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```python
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| 12 |
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import pandas as pd
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df = pd.read_csv('DOT_1h.csv')
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```
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ETC/ETC_15m.csv
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ETC/ETC_1h.csv
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ETC/README.md
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# ETC
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Cryptocurrency: ETC
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## Files
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| 6 |
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- ETC_15m.csv: 15m (80,000 rows)
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- ETC_1h.csv: 1h (54,865 rows)
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| 8 |
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## Usage
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| 10 |
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```python
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| 12 |
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import pandas as pd
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df = pd.read_csv('ETC_1h.csv')
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```
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ETH/ETH_15m.csv
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ETH/ETH_1h.csv
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ETH/README.md
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# ETH
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Cryptocurrency: ETH
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| 4 |
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## Files
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| 6 |
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- ETH_15m.csv: 15m (80,000 rows)
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| 7 |
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- ETH_1h.csv: 1h (54,913 rows)
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| 8 |
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## Usage
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| 10 |
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| 11 |
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```python
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| 12 |
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import pandas as pd
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df = pd.read_csv('ETH_1h.csv')
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```
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FIL/FIL_15m.csv
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FIL/FIL_1h.csv
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FIL/README.md
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# FIL
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Cryptocurrency: FIL
|
| 4 |
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## Files
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| 6 |
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- FIL_1h.csv: 1h (39,723 rows)
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| 7 |
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- FIL_15m.csv: 15m (80,000 rows)
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| 8 |
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| 9 |
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## Usage
|
| 10 |
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| 11 |
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```python
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| 12 |
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import pandas as pd
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| 13 |
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df = pd.read_csv('FIL_1h.csv')
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```
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LINK/LINK_15m.csv
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LINK/LINK_1h.csv
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LINK/README.md
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# LINK
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Cryptocurrency: LINK
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## Files
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- LINK_1h.csv: 1h (34,702 rows)
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- LINK_15m.csv: 15m (80,000 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('LINK_1h.csv')
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```
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LTC/LTC_15m.csv
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LTC/LTC_1h.csv
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LTC/README.md
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# LTC
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Cryptocurrency: LTC
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## Files
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- LTC_15m.csv: 15m (80,000 rows)
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- LTC_1h.csv: 1h (54,913 rows)
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## Usage
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```python
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import pandas as pd
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df = pd.read_csv('LTC_1h.csv')
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```
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MATIC/MATIC_15m.csv
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