### Download Bhavcopy Between Dates

Source: https://marketsetup.in/documentation/jugaad-data/historical

Downloads bhavcopy data for a range of dates. Specify the destination directory, start date, and end date.

```bash
$ jdata bhavcopy -d /path/to/dir -f 2020-01-01 -t 2020-01-30
```

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

### Download Stock Data using CLI

Source: https://marketsetup.in/documentation/jugaad-data

Example of downloading historical stock data for a specific symbol within a date range and saving it to a CSV file. Ensure the symbol, dates, and output file are correctly specified.

```bash
jdata stock -s SBIN -f 2020-01-01 -t 2020-01-31 -o SBIN-Jan.csv
```

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

### Get All Market Indices

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieves all available market indices. Use this to get a dictionary of all indices and their keys.

```python
all_indices = n.all_indices()
all_indices.keys()
```

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

### Get Index Keys

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieve the available keys for an index object to understand what data attributes can be accessed.

```python
nifty.keys()
```

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

### Get General Stock Information

Source: https://marketsetup.in/documentation/jugaad-data/live

Fetches general information about a stock, including its company name, industry, and trading series.

```python
q['info']
```

```json
{
 'symbol': 'HDFC',
 'companyName': 'Housing Development Finance Corporation Limited',
 'industry': 'FINANCE - HOUSING',
 'activeSeries': ['EQ', 'W3'],
 'debtSeries': [],
 'tempSuspendedSeries': ['W1', 'W2'],
 'isFNOSec': True,
 'isCASec': False,
 'isSLBSec': True,
 'isDebtSec': False,
 'isSuspended': False,
 'isETFSec': False,
 'isDelisted': False,
 'isin': 'INE001A13049',
 'isTop10': False,
 'identifier': 'HDFCEQN'
}
```

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

### Get Pre-Open Market Data

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieves pre-open market data for a stock, including pre-open price/quantity details, ATO (At The Opening) orders, and IEP (Indicative Equilibrium Price).

```python
q['preOpenMarket']
```

```json
{
 'preopen': [{'price': 2330.55, 'buyQty': 0, 'sellQty': 57},
  {'price': 2400, 'buyQty': 0, 'sellQty': 7},
  {'price': 2408.2, 'buyQty': 0, 'sellQty': 253},
  {'price': 2449, 'buyQty': 0, 'sellQty': 10},
  {'price': 2630.45, 'buyQty': 0, 'sellQty': 0, 'iep': True},
  {'price': 2705.95, 'buyQty': 306, 'sellQty': 0},
  {'price': 2710.5, 'buyQty': 8864, 'sellQty': 0},
  {'price': 2718.9, 'buyQty': 16076, 'sellQty': 0},
  {'price': 2750, 'buyQty': 100, 'sellQty': 0}],
 'ato': {'buy': 1329, 'sell': 169},
 'IEP': 2630.45,
 'totalTradedVolume': 51122,
 'finalPrice': 0,
 'finalQuantity': 0,
 'lastUpdateTime': '25-Jan-2021 09:07:41',
 'totalBuyQuantity': 79071,
 'totalSellQuantity': 58736,
 'atoBuyQty': 1329,
 'atoSellQty': 169
}
```

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

### Fetch Current RBI Rates using Python

Source: https://marketsetup.in/documentation/jugaad-data/rbi

Use this snippet to retrieve current economic rates published by the RBI. Ensure the 'jugaad-data' library is installed.

```python
from jugaad_data.rbi import RBI
r = RBI()
print(r.current_rates())
```

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

### Get Live Tick Data

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieves live tick data for a stock, providing a series of timestamped price points.

```python
tick_data = n.tick_data("HDFC")
```

```python
tick_data['grapthData'][0:10]
```

```json
[[1611566100000, 2635],
 [1611566101000, 2636.25],
 [1611566102000, 2634.65],
 [1611566103000, 2634.75],
 [1611566104000, 2633.65],
 [1611566105000, 2633.3],
 [1611566106000, 2642.1],
 [1611566107000, 2642.55],
 [1611566108000, 2647],
 [1611566109000, 2657.6]]
```

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

### Get Stock Metadata

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieves metadata for a stock, including its series, ISIN, listing date, and industry.

```python
q['metadata']
```

```json
{
 'series': 'EQ',
 'symbol': 'HDFC',
 'isin': 'INE001A01036',
 'status': 'Listed',
 'listingDate': '23-Oct-1996',
 'industry': 'HOUSING FINANCE',
 'lastUpdateTime': '25-Jan-2021 16:00:00',
 'pdSectorPe': 30.46,
 'pdSymbolPe': 0,
 'pdSectorInd': 'NIFTY FINANCIAL SERVICES                          '
}
```

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

### Retrieve Advance/Decline Counts

Source: https://marketsetup.in/documentation/jugaad-data/live

Get the number of stocks that have advanced, declined, or remained unchanged for the index.

```python
nifty['advance']
```

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

### Print Index Option Chain Details

Source: https://marketsetup.in/documentation/jugaad-data/live

Iterate through a slice of the index option chain data to print the Call/Put last prices and strike prices. This example shows data for indices.

```python
print("----Index option chain-----")
print("CE\tStrike\tPE")
for option in option_chain['filtered']['data'][80:100]:
    print("{}\t{}\t{}".format(option['CE']['lastPrice'], option['strikePrice'], option['PE']['lastPrice']))
```

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

### Print Equity Option Chain Details

Source: https://marketsetup.in/documentation/jugaad-data/live

Iterate through a slice of the equity option chain data to print the Call/Put last prices and strike prices. This example shows data for equities.

```python
print("-----Equity option chain-----")
print("CE\tStrike\tPE")
for option in eq_option_chain['filtered']['data'][30:50]:
    print("{}\t{}\t{}".format(option['CE']['lastPrice'], option['strikePrice'], option['PE']['lastPrice']))
```

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

### NSE Market Status Data Structure

Source: https://marketsetup.in/documentation/jugaad-data/live

Example of the data structure returned by the market_status() function, detailing market type, status, last trade information, and more.

```json
[{'market': 'Capital Market',
  'marketStatus': 'Close',
  'tradeDate': '22-Dec-2023 15:30',
  'index': 'NIFTY 50',
  'last': 21349.4,
  'variation': 94.35000000000218,
  'percentChange': 0.44,
  'marketStatusMessage': 'Market is Closed'},
 {'market': 'Currency',
  'marketStatus': 'Close',
  'tradeDate': 'Invalid date',
  'index': '',
  'last': '',
  'variation': '',
  'percentChange': '',
  'marketStatusMessage': 'Market is Closed'},
 {'market': 'Commodity',
  'marketStatus': 'Close',
  'tradeDate': 'Invalid date',
  'index': '',
  'last': '',
  'variation': '',
  'percentChange': '',
  'marketStatusMessage': 'Market is Closed'},
 {'market': 'Debt',
  'marketStatus': 'Close',
  'tradeDate': 'Invalid date',
  'index': '',
  'last': '',
  'variation': '',
  'percentChange': '',
  'marketStatusMessage': 'Market is Closed'},
 {'market': 'currencyfuture',
  'marketStatus': 'Close',
  'tradeDate': 'Invalid date',
  'index': '',
  'last': '83.1650',
  'variation': '',
  'percentChange': '',
  'marketStatusMessage': 'Market is Closed',
  'expiryDate': '27-Dec-2023',
  'underlying': 'USDINR',
  'updated_time': '22-Dec-2023 17:00',
  'tradeDateFormatted': '22-Dec-2023 17:00',
  'slickclass': 'slick-item'}]
```

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

### Print Currency Option Chain Details

Source: https://marketsetup.in/documentation/jugaad-data/live

Iterate through a slice of the currency option chain data to print the Call/Put last prices and strike prices. This example shows data for currencies.

```python
print("----Currency option chain ----")
print("CE\tStrike\tPE")
for option in curr_option_chain['filtered']['data'][10:30]:
    print("{}\t{}\t{}".format(option['CE']['lastPrice'], option['strikePrice'], option['PE']['lastPrice']))
```

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

### Get NSE Market Status

Source: https://marketsetup.in/documentation/jugaad-data/live

Instantiate NSELive and call market_status() to retrieve the current market status. The 'marketState' key in the returned dictionary indicates if the market is open or closed.

```python
from jugaad_data.nse import NSELive
n = NSELive()
status = n.market_status()
status['marketState']
```

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

### Get Security Information

Source: https://marketsetup.in/documentation/jugaad-data/live

Fetches detailed security information, including board and trading status, trading segment, and face value.

```python
q['securityInfo']
```

```json
{
 'boardStatus': 'Main',
 'tradingStatus': 'Active',
 'tradingSegment': 'Normal Market',
 'sessionNo': '-',
 'slb': 'Yes',
 'classOfShare': 'Equity',
 'derivatives': 'Yes',
 'surveillance': '-',
 'faceValue': 2,
 'issuedCap': 1800191002
}
```

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

### Retrieve Expiry Dates from Option Chain Data

Source: https://marketsetup.in/documentation/jugaad-data/live

Access the 'expiryDates' key within the fetched option chain data to get a list of available expiration dates.

```python
option_chain['records']['expiryDates']
```

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

### Get Stock Trade Information

Source: https://marketsetup.in/documentation/jugaad-data/live

Fetches detailed stock trade information, including block deals, market depth order book, and security-wise delivery details.

```python
trade_info = n.trade_info("HDFC")
```

```python
trade_info
```

```json
{
 'noBlockDeals': True,
 'bulkBlockDeals': [{'name': 'Session I'}, {'name': 'Session II'}],
 'marketDeptOrderBook': {'totalBuyQuantity': 1602,
  'totalSellQuantity': 0,
  'bid': [{'price': 2551.4, 'quantity': 1602},
   {'price': 0, 'quantity': 0},
   {'price': 0, 'quantity': 0},
   {'price': 0, 'quantity': 0},
   {'price': 0, 'quantity': 0}],
  'ask': [{'price': 0, 'quantity': 0},
   {'price': 0, 'quantity': 0},
   {'price': 0, 'quantity': 0},
   {'price': 0, 'quantity': 0},
   {'price': 0, 'quantity': 0}],
  'tradeInfo': {'totalTradedVolume': 7761405,
   'totalTradedValue': 202685.21,
   'totalMarketCap': 46084889.65,
   'ffmc': 45851691.180862,
   'impactCost': 0.02},
  'valueAtRisk': {'securityVar': 15.94,
   'indexVar': 0,
   'varMargin': 15.94,
   'extremeLossMargin': 3.5,
   'adhocMargin': 6.43,
   'applicableMargin': 25.87}},
 'securityWiseDP': {'quantityTraded': 7761405,
  'deliveryQuantity': 5387037,
  'deliveryToTradedQuantity': 69.41,
  'seriesRemarks': None,
  'secWiseDelPosDate': '25-JAN-2021 EOD'}
}
```

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

### Get Index Price Data

Source: https://marketsetup.in/documentation/jugaad-data/live

Access the detailed price information for the index, including open, high, low, last price, previous close, change, and various historical data points.

```python
nifty['data'][0]
```

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

### Download Stock Data to Pandas DataFrame

Source: https://marketsetup.in/documentation/jugaad-data

Use this function to download historical stock data for a given symbol and date range. The data is returned as a pandas DataFrame. Ensure you have the 'jugaad-data' and 'pandas' libraries installed.

```python
from jugaad_data.nse import stock_df
df = stock_df(symbol="SBIN", from_date=date(2020,1,1),
to_date=date(2020,1,30), series="EQ")
print(df.head())
```

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

### Display Sample Expiry Dates

Source: https://marketsetup.in/documentation/jugaad-data/live

This is a sample output showing the format of expiry dates returned.

```text
['28-Jan-2021',
 '04-Feb-2021',
 '11-Feb-2021',
 '18-Feb-2021',
 '25-Feb-2021',
 '04-Mar-2021',
 '10-Mar-2021',
 '18-Mar-2021',
 '25-Mar-2021',
 '01-Apr-2021',
 '24-Jun-2021',
 '30-Sep-2021',
 '30-Dec-2021',
 '30-Jun-2022',
 '29-Dec-2022',
 '29-Jun-2023',
 '26-Jun-2025']
```

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

### Jugaad Data CLI Help

Source: https://marketsetup.in/documentation/jugaad-data

Displays the overall usage and available commands for the jdata CLI tool. Use this to understand the main functionalities.

```bash
jdata --help
```

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

### JData Bhavcopy Help

Source: https://marketsetup.in/documentation/jugaad-data/historical

Shows the help message for the `jdata bhavcopy` command, detailing options for downloading bhavcopy data.

```bash
$ jdata bhavcopy --help
```

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

### Download Index Bhavcopy

Source: https://marketsetup.in/documentation/jugaad-data/historical

Downloads only index bhavcopy data for a specified date range. Requires destination directory, from date, and to date.

```bash
$ jdata bhavcopy -d /path/to/dir -f 2020-01-01 -t 2020-01-30 --idx
```

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

### Sample Index Option Chain Output

Source: https://marketsetup.in/documentation/jugaad-data/live

This is a sample output of the printed index option chain data, showing Call/Put prices and strike prices.

```text
---
Index option chain-----
CE	Strike	PE
604	20800	14
558.95	20850	18
509.05	20900	16.7
462	20950	19.95
414.6	21000	24
365.8	21050	27.4
320.1	21100	32.05
282.5	21150	39.95
239	21200	50
203.4	21250	60
167.6	21300	76
135.15	21350	92.55
105	21400	115.55
82.5	21450	140.4
62.55	21500	169.15
45.2	21550	204.45
32.7	21600	244.45
25	21650	284.25
18.7	21700	329.45
15	21750	369.7
```

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

### Download Full Bhavcopy

Source: https://marketsetup.in/documentation/jugaad-data/historical

Downloads the full bhavcopy, including delivery trade quantity, for a specified date range. Requires destination directory, from date, and to date.

```bash
$ jdata bhavcopy -d /path/to/dir -f 2020-01-01 -t 2020-01-30 --full
```

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

### Get Expiry Dates

Source: https://marketsetup.in/documentation/jugaad-data/historical

Fetch expiry dates for active derivative contracts on a given day. This can be filtered by contract type.

```APIDOC
## Download historical derivatives data
### Get expiry dates
For a given day, fetch expiry dates of all active contracts.
```python
from datetime import date
from jugaad_data.nse import expiry_dates
expiries = expiry_dates(date(2020,1,1))
print(expiries)

```

You can filter it further, based on the contract type eg. OPTIDX, FUTSTK etc.
```python
from datetime import date
from jugaad_data.nse import expiry_dates
expiries = expiry_dates(date(2020,1,1), "FUTSTK")
print(expiries)

```
```

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

### Sample Equity Option Chain Output

Source: https://marketsetup.in/documentation/jugaad-data/live

This is a sample output of the printed equity option chain data, showing Call/Put prices and strike prices.

```text
---
Equity option chain-----
CE	Strike	PE
122.6	2440	0.6
104.6	2460	0.7
85.6	2480	1.3
65.45	2500	2.65
49.9	2520	5.35
33.6	2540	9.9
22.5	2560	17.5
13.75	2580	30.45
8.4	2600	44.1
4.55	2620	60.15
2.45	2640	77.85
1.75	2660	98
1.2	2680	116.55
1	2700	132
0.7	2720	154.5
0.65	2740	173.5
0.6	2760	179.65
0.5	2780	182.35
0.45	2800	236.15
0.55	2820	247.5
```

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

### Download Derivatives Bhavcopy

Source: https://marketsetup.in/documentation/jugaad-data/historical

Downloads derivatives bhavcopy data for a specified date range. Requires destination directory, from date, and to date.

```bash
$ jdata bhavcopy -d /path/to/dir -f 2020-01-01 -t 2020-01-30 --fo
```

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

### Get All Expiry Dates

Source: https://marketsetup.in/documentation/jugaad-data/historical

Fetch all active contract expiry dates for a given day. This function returns a list of datetime.date objects.

```python
from datetime import date
from jugaad_data.nse import expiry_dates
expiries = expiry_dates(date(2020,1,1))
print(expiries)
```

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

### Get Index Timestamp

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieve the timestamp of the last traded price for the index. This value updates continuously during live market hours.

```python
nifty['timestamp']
```

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

### JData CLI Help

Source: https://marketsetup.in/documentation/jugaad-data/historical

Displays the help message for the `jdata` command-line interface, outlining available commands and options.

```bash
$ jdata --help
```

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

### Get Advance and Decline Counts

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieves the total number of advancing and declining stocks from the 'all_indices' dictionary. This provides a snapshot of market sentiment.

```python
print(all_indices['advances'], all_indices['declines'])
```

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

### View Bhavcopy File Content

Source: https://marketsetup.in/documentation/jugaad-data

Use the `tail` command to view the last few lines of the downloaded bhavcopy CSV files. This helps in quickly inspecting the data format and content.

```bash
!tail cm01Jan2020bhav.csv
```

```text
ZENITHEXPO,BE,46.95,46.95,43.6,45.55,46.6,44.95,1201,54268.2,01-JAN-2020,22,INE058B01018,
ZENSARTECH,EQ,175.95,176.9,173,175.4,175.85,174.6,18748,3281047.5,01-JAN-2020,4269,INE520A01027,
ZENTEC,EQ,55.15,57.4,54.3,55.95,56.4,56.45,25296,1412952.05,01-JAN-2020,266,INE251B01027,
ZICOM,BE,1.65,1.65,1.55,1.65,1.65,1.6,36099,56326.85,01-JAN-2020,32,INE871B01014,
ZODIACLOTH,EQ,175.35,184.95,168.75,171.75,172,175.35,12971,2249854.55,01-JAN-2020,758,INE206B01013,
ZODJRDMKJ,EQ,32.05,32.75,32,32.05,32.05,32.8,1070,34359.15,01-JAN-2020,73,INE077B01018,
ZOTA,EQ,188.9,189.75,186.75,188.5,188.5,186.45,25664,4828369.25,01-JAN-2020,165,INE358U01012,
ZUARI,EQ,92.4,92.4,90.6,92,92,90.5,9173,840932.3,01-JAN-2020,174,INE840M01016,
ZUARIGLOB,EQ,49.1,50.25,48.1,48.5,48.2,50.05,19086,937517.35,01-JAN-2020,408,INE217A01012,
ZYDUSWELL,EQ,1462,1479.95,1462,1465.95,1465.45,1470.3,1118,1642480.7,01-JAN-2020,301,INE768C01010,
```

```bash
!tail fo01Jan2020bhav.csv
```

```text
OPTSTK,ZEEL,26-Mar-2020,240,PE,0,0,0,15.55,13.15,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,260,PE,0,0,0,22.8,20.35,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,280,PE,0,0,0,31.7,29.45,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,300,PE,0,0,0,42.15,40.35,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,320,PE,0,0,0,54,52.85,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,340,PE,0,0,0,67.15,66.75,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,360,PE,0,0,0,81.4,81.9,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,380,PE,0,0,0,96.6,98,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,400,PE,0,0,0,112.65,114.95,0,0,0,0,01-JAN-2020,
OPTSTK,ZEEL,26-Mar-2020,420,PE,0,0,0,129.3,132.5,0,0,0,0,01-JAN-2020,
```

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

### Sample Currency Option Chain Output

Source: https://marketsetup.in/documentation/jugaad-data/live

This is a sample output of the printed currency option chain data, showing Call/Put prices and strike prices.

```text
----Currency option chain ----
CE	Strike	PE
0.9075	82.375	0.0025
0.735	82.5	0.0025
0.65	82.625	0.0025
0.485	82.75	0.0025
0.355	82.875	0.0025
0.2325	83	0.0025
0.1075	83.125	0.0025
0.0025	83.25	0.02
0.0025	83.375	0.145
0.0025	83.5	0.27
0.0025	83.625	0.4
0.0025	83.75	0.5175
0.0025	84	0.765
0.0025	84.25	1.18
0	84.5	1.245
0.0025	84.75	0
0.0025	85	0
0	85.25	0
0	85.5	0
0	85.75	0
```

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

### Get Stock Quote Data

Source: https://marketsetup.in/documentation/jugaad-data/live

Retrieves the current quote for a given stock symbol. The result includes price information, changes, and historical high/low data.

```python
q = n.stock_quote("HDFC")
q['priceInfo']
```

```json
{
 'lastPrice': 2560,
 'change': -29.449999999999818,
 'pChange': -1.137307150167017,
 'previousClose': 2589.45,
 'open': 2630.45,
 'close': 2551.4,
 'vwap': 2611.45,
 'lowerCP': '2330.55',
 'upperCP': '2848.35',
 'pPriceBand': 'No Band',
 'basePrice': 2589.45,
 'intraDayHighLow': {'min': 2543, 'max': 2670, 'value': 2560},
 'weekHighLow': {'min': 1473.45,
  'minDate': '24-Mar-2020',
  'max': 2777.15,
  'maxDate': '13-Jan-2021',
  'value': 2560}
}
```

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

### Download Bhavcopy for Specific Date

Source: https://marketsetup.in/documentation/jugaad-data/historical

Downloads bhavcopy data for a single, specified date. Requires the destination directory and the from date.

```bash
$ jdata bhavcopy -d /path/to/dir -f 2020-01-01
```

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

### Download Bhavcopies for Stocks, Indices, and F&O

Source: https://marketsetup.in/documentation/jugaad-data/historical

Use these functions to download bhavcopies for a specific date. The full bhavcopy includes delivery volume percentages. Ensure the output directory exists.

```python
from datetime import date
from jugaad_data.nse import bhavcopy_save, full_bhavcopy_save, bhavcopy_fo_save, bhavcopy_index_save

bhavcopy_save(date(2020,1,1), "/path/to/directory")
full_bhavcopy_save(date(2020,1,1), "/path/to/directory")
bhavcopy_fo_save(date(2020,1,1), "/path/to/directory")
bhavcopy_index_save(date(2020,1,1), "/path/to/directory")
```

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

### Sample Details of a Derivative Contract

Source: https://marketsetup.in/documentation/jugaad-data/live

This is a sample output showing the detailed information for a specific derivative contract, including its identifier, type, prices, and turnover metrics.

```json
{
'underlying': 'NIFTY',
'identifier': 'FUTIDXNIFTY28-01-2021XX0.00',
'instrumentType': 'FUTIDX',
'instrument': 'Index Futures',
'expiryDate': '28-Jan-2021',
'optionType': '-',
'strikePrice': 0,
'lastPrice': 14254,
'pChange': -0.8772509327093225,
'openPrice': 14475,
'highPrice': 14497.75,
'lowPrice': 14233.6,
'numberOfContractsTraded': 185139,
'totalTurnover': 1993001.4325575,
'premiumTurnover': 199300143255.75,
'openInterest': 127322,
'underlyingValue': 14238.9
}
```

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

### Download Bhavcopy and Historical Data

Source: https://marketsetup.in/documentation/jugaad-data

Use `bhavcopy_save` to download daily bhavcopy for stocks and derivatives. Use `bhavcopy_fo_save` for futures and options data. Specify the date and the directory to save the files.

```python
from datetime import date
from jugaad_data.nse import bhavcopy_save, bhavcopy_fo_save

# Download bhavcopy
bhavcopy_save(date(2020,1,1), "./")

# Download bhavcopy for futures and options
bhavcopy_fo_save(date(2020,1,1), "./")
```

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

### Download Today's Bhavcopy

Source: https://marketsetup.in/documentation/jugaad-data/historical

Downloads today's bhavcopy data to a specified directory. This command is typically used after market hours.

```bash
$ jdata bhavcopy -d /path/to/dir
```

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

### Fetch Option Chains for Indices, Equities, and Currencies

Source: https://marketsetup.in/documentation/jugaad-data/live

Use these functions to retrieve live option chain data. Specify the index, equity symbol, or currency pair as needed.

```python
option_chain = n.index_option_chain("NIFTY") # Index Option chains
eq_option_chain = n.equities_option_chain("RELIANCE") # Equity option chains
curr_option_chain = n.currency_option_chain("USDINR") # Currency option chains
```

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

### Verify Downloaded Bhavcopy Files

Source: https://marketsetup.in/documentation/jugaad-data

After downloading, you can list the CSV files in the directory to confirm the bhavcopy files have been saved. The output shows the naming convention for the downloaded files.

```bash
ls *.csv
```

```bash
cm01Jan2020bhav.csv  fo01Jan2020bhav.csv
```

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

### Download Bhavcopies

Source: https://marketsetup.in/documentation/jugaad-data/historical

Download bhavcopies for stocks, indices, and futures & options for a specific date. The `full_bhavcopy_save` includes delivery volume percentage.

```APIDOC
## Download bhavcopies
You can download bhavcopies for stocks, indices and futures & Optios using `jugaad-data`. Below example shows how to download different bhavcopies for 1st Jan 2020 and saves to a directory in csv format.
```python
from datetime import date
from jugaad_data.nse import bhavcopy_save, full_bhavcopy_save, bhavcopy_fo_save, bhavcopy_index_save

bhavcopy_save(date(2020,1,1), "/path/to/directory")
full_bhavcopy_save(date(2020,1,1), "/path/to/directory")
bhavcopy_fo_save(date(2020,1,1), "/path/to/directory")
bhavcopy_index_save(date(2020,1,1), "/path/to/directory")

```

**Note** Difference between `bhavcopy_save` and `full_bhavcopy_save` is that in full bhavcopy you also get the percentage of volume which was in delivery.
```

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

### Download Futures & Options Data

Source: https://marketsetup.in/documentation/jugaad-data/historical

Use this command to download futures and options data. Specify symbol, date range, expiry, instrument type, and optionally strike price and call/put options.

```bash
$ jdata derivatives --help
Usage: jdata derivatives [OPTIONS]

Options:
  -s, --symbol TEXT  Stock/Index symbol  [required]
  -f, --from TEXT    From date - yyyy-mm-dd  [required]
  -t, --to TEXT      To date - yyyy-mm-dd  [required]
  -e, --expiry TEXT  Expiry date - yyyy-mm-dd  [required]
  -i, --instru TEXT  FUTSTK - Stock futures, FUTIDX - Index Futures, OPTSTK - 
                     Stock Options, OPTIDX - Index Options  [required]

  -p, --price TEXT   Strike price (Only for OPTSTK and OPTIDX)
  --ce / --pe        --ce for call and --pe for put (Only for OPTSTK and
                     OPTIDX)

  -o, --output TEXT  Full path of output file
  --help             Show this message and exit.

```

```bash
$ jdata derivatives -s SBIN -f 2020-01-01 -t 2020-01-30 -e 2020-01-30 -i FUTSTK -o file_name.csv
```

```bash
$ jdata derivatives -s NIFTY -f 2020-01-01 -t 2020-01-30 -e 2020-01-30 -i FUTIDX -o file_name.csv
```

```bash
$ jdata derivatives -s SBIN -f 2020-01-01 -t 2020-01-30 -e 2020-01-30 -i OPTSTK -p 330 --ce -o file_name.csv
```

```bash
$ jdata derivatives -s NIFTY -f 2020-01-01 -t 2020-01-23 -e 2020-01-23 -i OPTIDX -p 11000 --pe -o file_name.csv
```

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

### Fetch Live Index Data

Source: https://marketsetup.in/documentation/jugaad-data/live

Import and instantiate the NSELive class to fetch live data for a specific index. This is a common first step for all live data operations.

```python
nifty = n.live_index("NIFTY 50")
```

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

### Get Filtered Expiry Dates by Contract Type

Source: https://marketsetup.in/documentation/jugaad-data/historical

Retrieve expiry dates for a specific contract type (e.g., 'FUTSTK') on a given day. This allows filtering the expiry dates based on derivatives contract types.

```python
from datetime import date
from jugaad_data.nse import expiry_dates
expiries = expiry_dates(date(2020,1,1), "FUTSTK")
print(expiries)
```

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

### Sample Equity Derivative Turnover Output

Source: https://marketsetup.in/documentation/jugaad-data/live

This sample output shows the identifier and total turnover for various equity derivative contracts, sorted by turnover.

```text
FUTIDXNIFTY28-01-2021XX0.00 	 1993001.4325575
FUTIDXBANKNIFTY28-01-2021XX0.00 	 1971646.452105
FUTIDXNIFTY25-02-2021XX0.00 	 639651.073635
FUTSTKRELIANCE28-01-2021XX0.00 	 481936.0667
FUTSTKTATAMOTORS28-01-2021XX0.00 	 411916.428
FUTSTKKOTAKBANK28-01-2021XX0.00 	 342169.4506
FUTIDXBANKNIFTY25-02-2021XX0.00 	 317728.786825
FUTSTKHDFCBANK28-01-2021XX0.00 	 300168.45705
FUTSTKBHARTIARTL28-01-2021XX0.00 	 297890.25741900003
FUTSTKRELIANCE25-02-2021XX0.00 	 288693.0396
FUTSTKBAJFINANCE28-01-2021XX0.00 	 272159.20905
FUTSTKICICIBANK28-01-2021XX0.00 	 270931.0758
FUTSTKBHARTIARTL25-02-2021XX0.00 	 247874.5618938
FUTSTKINFY28-01-2021XX0.00 	 235133.2647
FUTSTKAXISBANK28-01-2021XX0.00 	 224137.1448
FUTSTKSBIN28-01-2021XX0.00 	 220771.3536
FUTSTKHDFC28-01-2021XX0.00 	 211855.64148
FUTSTKTATASTEEL28-01-2021XX0.00 	 207522.36192
FUTSTKHDFCBANK25-02-2021XX0.00 	 207458.4039
FUTSTKULTRACEMCO28-01-2021XX0.00 	 207429.98906
```