### Install cot_reports using pip

Source: https://github.com/ndelventhal/cot_reports/blob/main/README.md

Installs the cot_reports library using pip. This is the standard method for installing Python packages.

```python
pip install cot_reports
```

--------------------------------

### Install cot_reports from GitHub

Source: https://github.com/ndelventhal/cot_reports/blob/main/README.md

Installs the cot_reports library directly from its GitHub repository. This is useful for installing the latest development version.

```python
pip install git+https://github.com/NDelventhal/cot_reports
```

--------------------------------

### Install Required Libraries

Source: https://github.com/ndelventhal/cot_reports/blob/main/README.md

Installs the necessary libraries (pandas, requests, beautifulsoup4) required for the cot_reports library to function. These are typically installed via pip.

```python
pip install pandas requests beautifulsoup4
```

--------------------------------

### Download Multiple Years of COT Data

Source: https://github.com/ndelventhal/cot_reports/blob/main/README.md

Iterates through a range of years to download and combine data for specified COT report types. This example fetches data from 2017 to 2020 for the 'legacy_futopt' report.

```python
import cot_reports as cot
import pandas as pd

df = pd.DataFrame()
begin_year = 2017
end_year = 2020
for i in range(begin_year, end_year + 1):
    single_year = pd.DataFrame(cot.cot_year(i, cot_report_type='legacy_futopt')) 
    df = df.append(single_year, ignore_index=True)
```

--------------------------------

### Download Historical COT Data (cot_hist)

Source: https://github.com/ndelventhal/cot_reports/blob/main/README.md

Downloads historical bulk data for a specified COT report type, starting from 1986 up to 2016. The data is returned as a pandas DataFrame.

```python
import cot_reports as cot

df = cot.cot_hist(cot_report_type= 'traders_in_financial_futures_futopt')
```

--------------------------------

### Download All Available COT Data (cot_all)

Source: https://github.com/ndelventhal/cot_reports/blob/main/README.md

Downloads all available historical data, including the latest published data, for a specified COT report type. The data is returned as a pandas DataFrame.

```python
import cot_reports as cot

df = cot.cot_all(cot_report_type='legacy_fut')
```

--------------------------------

### Download Single Year COT Data (cot_year)

Source: https://github.com/ndelventhal/cot_reports/blob/main/README.md

Downloads historical data for a specific year and COT report type. If the current year is specified, it fetches the latest published data. The data is returned as a pandas DataFrame.

```python
import cot_reports as cot

df = cot.cot_year(year = 2020, cot_report_type = 'traders_in_financial_futures_fut')
```

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